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          Template_project
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          EGY_HIECS_2021_HD_V3.0
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      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
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        <prodDate date="2025-09">
          2025-09
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          Nesstar Publisher
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          Version 3
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    <citation>
      <titlStmt>
        <titl>
          Household Income, Expenditure, and Consumption Survey, HIECS 2021/2022
        </titl>
        <altTitl>
          HIECS 2021-2022
        </altTitl>
        <IDNo>
          EGY_HIECS_2021_HD_V3.0
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="ERF">
          Economic Research Forum
        </AuthEnty>
        <AuthEnty affiliation="CAPMAS">
          Central Agency For Public Mobilization &amp; Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2025, Economic Research Forum | (c) 2021, CAPMAS, Egypt
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="ERF" URI="www.erf.org.eg" email="erfdataportal@erf.org.eg">
          Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Income/Expenditure/Household Survey [hh/ies]
        </serName>
        <serInfo>
          <![CDATA[The first survey of income and expenditure, planned to be a pilot one, was undertaken in 1955. It was planned and carried out by the Committee of Statistic in three villages of Giza governorate on a sample of 750 households where the total sampling frame in this area was 4000 households.

In 1958/59, the first national survey was conducted in all governorates of Egypt on a sample of 6376 households distributed between urban and rural areas with a percentage of 51.5% and 48.5% respectively. All sample households were observed for the entire survey period (12 month).

In 1964/65, the second survey was conducted on a sample of 13818 households allocated between urban and rural areas such as 67.6% for urban and 32.4%for rural households. With the aim of reducing the burden on surveyed households, the whole sample was divided into four sub-samples where households of each sub-sample were observed for only three consecutive months.

In 1974/75, the third survey was carried out on a sample of 11995 households allocated between urban and rural areas in a similar way as the second survey. Like the second survey, households were observed only for three successive months.

In 1981/82, the fourth survey was conducted on a sample of 17000 households distributed equally between urban and rural areas. A new observation methodology, combing fixed and changeable observation of surveyed households, has been applied. A sub- sample of 1000 households were observed all over the survey period (12 months) while the remaining 16000 households were observed on a changeable basis.

In 1990/91, the name of household budgetary survey changed to income, expenditure and consumption survey. Under the new name, the fifth survey was conducted on a sample of 15000 households distributed between urban and rural areas with the percentage of 60% for urban and 40% for rural. The entire sample was divided into 12 sub-samples, each were observed for only one month.

In 1995/96, the sixth survey was conducted on a sample of 15090 households allocated between urban and rural areas such as 45.1% in urban and 54.9% in rural. The same observation scheme of the previous survey was applied, i.e., households were observed for one month only.

In 1999/2000, the seventh survey was conducted on a sample of 48000 households (4000 household monthly) distributed between urban and rural areas with the percentage of 60% for urban and 40% for rural.(households were observed for one month only).

In 2004/2005, the eighth survey was conducted on a sample of 48000 households (4000 households monthly) distributed in urban and rural areas with the percentage of 46.4% for urban and 53.6% rural (households were observed for one month only).

In 2008/2009 the ninth in the series was conducted on a sample of 48658 households (2000 households every 15 days) distributed between urban and rural areas with the percentage of 47.2% for urban and 52.8% rural.(households were observed every 15 days).

In 2010/2011, the tenth survey was conducted on a sample of 26.5 thousand households, out of which 16.5 thousands were new households and 10 thousands were panel households. 1100 household were collected every 15 days distributed between urban and rural areas with the percentage of 47.1% for urban and 52.9% rural (surveyed households were changed every 15 days).

In 2012/2013, the eleventh survey was conducted on a sample of 24863 households, out of which 16094 were new households and 8769 were panel households. 1036 household were collected every 15 days distributed between urban and rural areas with the percentage of 45.4% for urban and 54.6% rural (surveyed households were changed every 15 days).

In 2015, the twelfth survey that was carried out in 2015 on a sample of 25000 households, distributed between urban and rural areas with the percentage of 45% for urban and 55% rural. Data collection period was distributed into 24 waves. Each wave consisted of one week, and 1042 household were collected every wave during the first half of 2015. In the second half of 2015, households were re-visited to capture seasonal expenditures and consumptions.

In 2017/2018, the twelfth survey that was carried out in 2017/2018 on a sample of 26000 households, distributed between urban and rural areas with the percentages around 45% for urban and 55% rural. Data collection period was distributed into 24 waves. Each wave consisted of one week, and 1075  household were collected every wave during the first half of 2017/2018. In the second half of 2017/2018, households were re-visited to capture seasonal expenditures and consumptions.

In 2019/2020, the twelfth survey that was carried out in 2019/2020 on a sample of 26000 households, distributed between urban and rural areas with the percentage of 46.6% for urban and 53.4% rural. 

The current survey is the Thirteenth survey that was carried out in 2021/ 2022 on a sample of 27000 households, distributed between urban and rural areas with the percentages  around 46% for urban and 54% rural. Data collection period was distributed into 24 waves.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2025-09">
          <![CDATA[V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.

V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.

V3.0: A cleaned and a harmonized version of the survey dataset, including all variables in V2.0 in addition to a number of new/detailed-composite coded version of the variables about health insurance & social security considered essential on the individual level, produced by the Economic Research Forum for dissemination.]]>
        </version>
        <notes>
          <![CDATA[All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, has been published, along with a copy of all international classifications of expenditures, occupations and economic activities used during the harmonization process.  
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.]]>
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="ERF">
          Poverty
        </topcClas>
        <topcClas vocab="ERF">
          Expenditure
        </topcClas>
        <topcClas vocab="ERF">
          Income
        </topcClas>
        <topcClas vocab="ERF">
          Infrastructure
        </topcClas>
        <topcClas vocab="ERF">
          Education
        </topcClas>
        <topcClas vocab="ERF">
          Labor
        </topcClas>
        <topcClas vocab="ERF">
          Health
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[***********************************************************************************************************************************************************************
 THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS) 
***********************************************************************************************************************************************************************

The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2021/2022, is the Thirteenth in this long series.
Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

The survey main objectives are:

- To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

- To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

- To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period. 

- To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

- To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

- To define average household and per-capita income from different sources.

- To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

- To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

- To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

- To study the relationships between demographic, geographical, housing characteristics of households and their income.

- To provide data necessary for national accounts especially in compiling inputs and outputs tables.

- To identify consumers behavior changes among socio-economic groups in urban and rural areas.

- To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

- To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

- To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

- To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

- To provide a time series of the most important data related to dominant standard of living  from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.


The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.]]>
      </abstract>
      <sumDscr>
        <collDate date="2021-10-01" event="start" cycle="-"/>
        <collDate date="2022-09-30" event="end" cycle="-"/>
        <nation abbr="EGY">
          Egypt
        </nation>
        <geogCover>
          Covering a sample of urban and rural areas in all the governorates.
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          The survey covered a national sample of households and all individuals permanently residing in surveyed households.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.

Individual:  Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="CAPMAS" affiliation="Egypt">
          Central Agency For Public Mobilization &amp; Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[ 
The sample of HIECS 2021/2022 is a self-weighted two-stage stratified cluster sample. 
The main elements of the sampling design are described in the following. 

1- Sample Size 
The sample size is around 27 thousand households. It was distributed between urban and rural with the percentages around 46% and 54%, respectively.

2- Cluster size 
The cluster size is 20  households in all governorates. 

3- Sample allocation in different governorates

The sample was distributed on urban/rural areas in different governorates proportionally with the household size
A sample size of a minimum of 1000 households was allocated to each governorate to ensure accuracy of poverty indicators.
Therefore, the sample size was increased in Port-Said, Suez, Ismailiya, kafr el-Sheikh, Damietta, Bani Suef, Fayoum, Qena, Luxor and Aswan, by compensation from other governorates where the sample size exceeds a 1000 households. All Frontier governorates were considered as one governorate.

4- Core Sample
The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society.
This sample was implemented in January 2010 and its size reached more than 1 million household selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households).
The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.



A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[Three different questionnaires have been designed as following: 

1- Expenditure and Consumption Questionnaire.
2- Assisting questionnaire. 
3- Income Questionnaire. 

In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: 
- Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. 
- Using the recent Classification of Individual Consumption According to Purpose (COICOP). 
- Using more than one approach of expenditure measurement to serve many purposes of the survey. 

A brief description of each questionnaire is given next: 

----> 1- Expenditure and Consumption Questionnaire 
This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. 
The questionnaire is divided into two main sections.

Section one: Household schedule and other information, it includes:
- Demographic characteristics and basic data for all household individuals consisting of 25 questions for every person.
- Members of household who are currently working abroad.
- The household ration card.
- The main outlets that provide food and beverage.
- Domestic and foreign tourism.
- The housing conditions including 16 questions.
- Household ownership of means of transportation, communication and domestic appliances.
- Date of purchase, status at purchase, purchase value and current imputed value of the 
household possessed appliances and means of transportation.
- The Duration since the household was established
- The main outlet that provides fabrics, clothes and footwear.
-This section includes some questions which help to define the social and economic level of households which in turn, help interviewers to check the plausibility of expenditure, consumption and income data.

Section two: Expenditure and consumption data It includes 14 tables as follows:
1- The quantity and value of food and beverages commodities actually consumed.
2- The quantity and value of the actual consumption of alcoholic beverages, tobacco and narcotics.
3- The quantity and value of the clothing and footwear.
4- The household expenditure on housing.
5- The household expenditure on furnishings, household equipment and routine maintenance of the house.
6- The household expenditure on health care services.
7- The household expenditure on transportation.
8- The household expenditure on communication.
9- The household expenditure on recreation and culture
10- The household expenditure on education.
11- The household expenditure at restaurants and hotels.
12- The household expenditure on miscellaneous goods and services.
13- Transfer payments.
14- Total annual household expenditure 

The tables from 1 to 13 include all types of commodities and services (850 Items), 50 Sub-group and 12 Main groups in addition to transfer payments.

This questionnaire has been designed to be pre-coded for all expenditure items and household characteristics, to avoid possible coding mistakes, except for the occupation and industry. Those were coded at the office following the International classifications for occupation and industry. On the questionnaire cover, geographic information were coded at the office, as well, following the Administrative Classification. 

The questionnaire was designed to cover different reference periods for expenditure data, since they differ based on the expenditure nature. The reference period agreed upon for regular consumption of commodities such as those related to food and beverage is two weeks. Alcoholic beverages and Tobacco are collected for a reference of one month ending by the end of the survey period. Commodities and services consumed on a semi-regular basis are collected for a reference of 3 month while commodities and services consumed less regularly are collected on annual basis, ending by the end of the survey period.
The total number of items increased to 850 commodity and service compared to 778 in 2012/2013 survey.

----> 2 - Assisting questionnaire
The assisting questionnaire has been prepared to help households recording - on a daily basis- the quantity and value of what have been consumed of food and beverages during the reference period.
Therefore, this questionnaire is considered the main source of expenditure data on food and beverage, and was designed in a very simple form to facilitate using it by the surveyed household and the interviewers during their frequent visits to the household.
Due to the importance of such a questionnaire, the households are required to record their expenses daily, and the interviewers are instructed to check what households have recorded during their 6 visits to the household during the survey period. In case of the inability of some households to record their daily expenditure, the interviewer has to do so. 

The questionnaire includes:
a- Letter addressed to the head of household to inform him/her about the importance of survey so that his/her cooperation may be stimulated. 
b- Instructions of data recording for households and interviewers.
c- A group of modules to record daily consumption of household as follows:

----> 3- Income questionnaire
It includes annual household income data according to income sources (excluding irregular incomes).
It consists of several tables; each is designated to a specific income source. These sources are:
- Wages and salaries for wage/salary for earners among household members.
- Self-employed income from agriculture projects.
- Self-employed income from non Agriculture projects.
- Financial properties such as stocks, bonds, deposits and investment certificates.
- Non- financial properties such as agriculture or non-agriculture land and rented to others properties.
- Imputed rent of owner-occupied dwellings.
- Received cash and in kind transfers]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The reference period over which data was collected varies according to the type of data item as follows:

One week: for expenditure on food and beverages.
Monthly: for expenditure on alcoholic beverages, tobacco and narcotics, housing and its accessories goods and services for routine household maintenance, health, operation of personal transport equipments, transport services, restaurants and hotels, personal care and other services n.e.c.
Quarterly: for expenditure on health, Communication.
Annually:	for expenditure on clothing and footwear, housing and its accessories, furnishings, household equipments and routine maintenance of the house, health, transport, communication, recreation and culture, education, restaurants and hotels and miscellaneous goods and services.

It is worth noting that in some cases the groups of commodities or services include more than one period such as health which has monthly, quarterly and annually items, on which the expenditure ends by the end of the survey period, depending upon the consumption frequency of these items.]]>
        </collSitu>
        <actMin>
          <![CDATA[The field staff was selected from among the efficient experienced persons working in CAPMAS and new graduates specially females who live in the survey sampled aread.
Intensive training program for supervisors was conducted at CAPMAS in Cairo and locally in governorates for interviewers and field editors.
Supervision program was implemented in all governorates to check the field work to overcome the fieldwork problems.
Data were collected by using personal interview method for household in dwelling and it had been obtained from the head of household or wife or any eligible person in case of their absence.
The Fieldwork took place during the period of 1/10/2021 to 30/9/2022]]>
        </actMin>
        <weight>
          <![CDATA[In order for the sample estimates for the HIECS to be representative of the population, it is necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample household would be equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage). 
The HIECS sample is approximately self-weighting at national level and strictly self-weighting at the governorate level, it should be easy to attach a weight to each sample household record in the computer files, and the tabulation programs can weight the data automatically. The sampling probabilities at each stage of selection will be maintained in an Excel spreadsheet so that the overall probability and corresponding weight can be calculated for each sample cluster.]]>
        </weight>
        <cleanOps>
          <![CDATA[----> Raw Data

- Data entry was conducted using the tablets carried by interviewers upon data collection, during visits.
- Data entry programs were designed and implemented by data experts in CAPMAS
- Those programs are flexible and user friendly.
- Validation rules were further added to the entry programs to ensure data is correctly entered.
- Further errors are produced in reports through the same program.
- Errors are then corrected to ensure data files produced are free of error.

----> Harmonized Data

- The Statistical Package Stata is used to clean and harmonize the datasets.
- The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/compute /recode/rename/format/label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.]]>
        </cleanOps>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement. 

The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.]]>
        </confDec>
        <contact affiliation="(ERF)" URI="www.erf.org.eg" email="erfdataportal@erf.org.eg">
          Economic Research Forum
        </contact>
        <citReq>
          <![CDATA[The users should cite the Economic Research Forum and Central Agency For Public Mobilization & Statistics as follows:

OAMDI, 2025. Harmonized Household Income and Expenditure Surveys (HHIES), http://www.erfdataportal.com/index.php/catalog. Version 3.0 of Licensed Data Files; HIECS 2021/2022 - Central Agency for Public Mobilization and Statistics (CAPMAS). Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Central Agency For Public Mobilization &amp; Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
        </disclaimer>
      </useStmt>
    </dataAccs>
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      <fileName>
        Egypt21-HH-V3.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The household data file contains generated household level harmonized variables, subject to availability, covering the following categories:
· File identification
· Geographical characteristics
· Household composition
· Dwelling characteristics
· Ownership of durables, livestock and land
· Head's and spouse's characteristics
· Annual household expenditure
· Annual household income

The household unique identifier is the variable: CASESER]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F13" keyvar="V1449"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          12463
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        <varQnty>
          230
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      </dimensns>
      <fileType>
        Nesstar 200801
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  <fileDscr ID="F13" URI="EGY_HIECS_2021_HD_V3.0.Nesstar?Index=1&amp;Name=Egypt21-IND-V3">
    <fileTxt>
      <fileName>
        Egypt21-IND-V3.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The individual data file contains generated individual level harmonized variables, subject to availability, enveloped in the following categories:
· File identification
· Geographical characteristics
· Demographics
· Father's and mother's characteristics
· Nationality and immigration
· Education
· Health
· Labor
· Annual individual income

The household unique identifier is the variable: CASESER
The individual unique identifier is the variable: PNUM]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F11" keyvar="V1679 V1684"/>
      </fileStrc>
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          50458
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          72
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        Nesstar 200801
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    <varGrp ID="VG1" type="section" varGrp="VG3 VG4 VG5 VG6 VG7 VG8 VG9 VG10 VG11">
      <labl>
        Household
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="section" varGrp="VG12 VG13 VG14 VG15 VG16 VG17 VG18 VG19 VG20 VG21 VG22">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V1447 V1448 V1449 V1450">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V1451 V1452 V1453">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V1456 V1454 V1455 V1457 V1458 V1459 V1460 V1461">
      <labl>
        Household composition
      </labl>
      <defntn>
        Gives information on the household composition and characteristics such as the number of children, their age and gender.. The dwelling conditions the access to public facilities …
      </defntn>
    </varGrp>
    <varGrp ID="VG6" type="subject" var="V1462 V1463 V1464 V1465 V1466 V1467 V1468 V1469 V1470 V1471 V1472 V1473 V1474">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject" var="V1475 V1476 V1477 V1478 V1479 V1480 V1481 V1482 V1483 V1484 V1485 V1486 V1487 V1488 V1489 V1490 V1491 V1492 V1493 V1494 V1495 V1496 V1498">
      <labl>
        Ownership of assets
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      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V1618 V1632 V1646 V1619 V1633 V1647 V1620 V1634 V1648 V1621 V1635 V1649 V1622 V1636 V1650 V1623 V1637 V1651 V1624 V1638 V1652 V1625 V1639 V1653 V1626 V1640 V1654 V1627 V1641 V1655 V1628 V1642 V1656 V1629 V1643 V1657 V1630 V1644 V1658 V1631 V1645 V1659">
      <labl>
        Spouses' characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V1545 V1499 V1500 V1501 V1502 V1503 V1531 V1504 V1505 V1506 V1507 V1508 V1509 V1532 V1510 V1511 V1512 V1533 V1513 V1514 V1515 V1516 V1517 V1534 V1518 V1519 V1520 V1521 V1522 V1535 V1523 V1536 V1524 V1537 V1525 V1538 V1526 V1539 V1527 V1540 V1528 V1541 V1529 V1542 V1543 V1544 V1546 V1530 V1552 V1547 V1548 V1549 V1550 V1551 V1558 V1553 V1554 V1555 V1556 V1557 V1569 V1559 V1560 V1561 V1562 V1563 V1564 V1565 V1566 V1567 V1568 V1574 V1570 V1571 V1572 V1573 V1579 V1575 V1576 V1577 V1578 V1582 V1580 V1581 V1587 V1583 V1584 V1585 V1586 V1593 V1588 V1589 V1590 V1591 V1592 V1597 V1594 V1595 V1596 V1603 V1598 V1599 V1600 V1601 V1602 V1604 V1605 V1606 V1608 V1607 V1609 V1610 V1611">
      <labl>
        Expenditure
      </labl>
      <defntn>
        <![CDATA[Including annual amounts of consumption expenditures; if possible split following the COICOP international standard classification).

All expenditure variables are recorded as yearly amounts. Amounts are annualized if not provided as such in original data. 
Annual expenditure amounts should be reported in country national currency.

Due to lack of details in many datasets, ERF constructs the expenditure variables, even if not all of the items are available. Any taxes included in the expenditure variables are deducted if possible. 

A check for outliers is necessary before conducting any analysis on the expenditure data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V1612 V1613 V1614 V1615 V1616 V1617">
      <labl>
        Income
      </labl>
      <defntn>
        <![CDATA[Including when possible annual amounts of earnings from labor and the contributions paid on them, capital income and property, taxes, social insurance benefits, social assistance benefits and other (private) transfers

All income variables are recorded as yearly amounts. ERF annualizes the amounts, if not provided as such in original data. 
Annual income amounts should be reported in country national currency.

As a rule, household-level income amounts are derived by summing the individual-level values for all individuals in the household. When individual data are not available, reported household amounts are used and these cases will be noted in the country-specific documentation. Where the household income variables are directly calculated from person-level income variables, these formulations are shown below, as are those instances when the variable is created by summing sub-categories within the household data.

A check for outliers is necessary before conducting any analysis on the income data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG12" type="subject" var="V1677 V1678 V1679 V1680 V1684">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V1681 V1682 V1683">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V1685 V1686 V1687 V1688 V1689 V1690">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V1717 V1718 V1719 V1720 V1721 V1722 V1723 V1724 V1725 V1726 V1727 V1728 V1729 V1730 V1731 V1732">
      <labl>
        Father's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V1733 V1734 V1735 V1736 V1737 V1738 V1739 V1740 V1741 V1742 V1743 V1744 V1745 V1746 V1747 V1748">
      <labl>
        Mother's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V1691 V1692 V1693 V1694 V1695 V1696 V1697 V1698">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject" var="V1699 V1700 V1701">
      <labl>
        Health
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V1708 V1709 V1707 V1710 V1711 V1712 V1713 V1714 V1715 V1716">
      <labl>
        Labour
      </labl>
    </varGrp>
    <varGrp ID="VG21" type="subject">
      <labl>
        Income
      </labl>
      <defntn>
        <![CDATA[All income variables are recorded as yearly amounts. ERF annualizes the amounts, if not provided as such in original data. 

Annual income amounts should be reported in country national currency.

Non-existing social benefits or other income sources are recorded as 0.

A check for outliers is necessary before conducting any analysis on the income data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG22" type="subject" var="V1702 V1703 V1704 V1705 V1706">
      <labl>
        Social Protection
      </labl>
    </varGrp>
    <var ID="V1447" name="COUNTRY" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1448" name="YEAR" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey Year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2015" max="2015"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2021
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1449" name="CASESER" files="F11" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="12" width="5" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2" max="23976"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        24925
      </sumStat>
      <sumStat type="mean">
        12463
      </sumStat>
      <sumStat type="stdev">
        7195.805
      </sumStat>
      <txt>
        Sequential anonymous household identifier usually provided in the dataset
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and person file and is necessary when merging the two files. This identifier is unique only within each country/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.
When merging household and individual level files from the same dataset, use this variable to link each individual to the right household.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1450" name="HWEIGHT" files="F11" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="16" width="4" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.0874619074656012" max="5.97524988786293"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.13
      </sumStat>
      <sumStat type="max">
        3.231
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0.484
      </sumStat>
      <txt>
        Data provider household weight
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1451" name="REG" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="17" EndPos="18" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="41"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cairo
        </labl>
        <catStat type="freq">
          858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Alexandria
        </labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Port Said
        </labl>
        <catStat type="freq">
          482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Suez
        </labl>
        <catStat type="freq">
          477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Helwan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 of October
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Damietta
        </labl>
        <catStat type="freq">
          487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dakahlia
        </labl>
        <catStat type="freq">
          633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sharkia
        </labl>
        <catStat type="freq">
          659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Qualioubia
        </labl>
        <catStat type="freq">
          578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Kafr Elsheikh
        </labl>
        <catStat type="freq">
          489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Gharbia
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Monofia
        </labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Beheira
        </labl>
        <catStat type="freq">
          588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Ismailya
        </labl>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Giza
        </labl>
        <catStat type="freq">
          725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Bani Swef
        </labl>
        <catStat type="freq">
          474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Fayoum
        </labl>
        <catStat type="freq">
          481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Menia
        </labl>
        <catStat type="freq">
          565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Assiut
        </labl>
        <catStat type="freq">
          512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Sohag
        </labl>
        <catStat type="freq">
          523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Qena
        </labl>
        <catStat type="freq">
          488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Aswan
        </labl>
        <catStat type="freq">
          466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Luxor
        </labl>
        <catStat type="freq">
          488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Frontier Governorates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1452" name="AREA" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="41"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban Governorates
        </labl>
        <catStat type="freq">
          2328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban Lower Egypt
        </labl>
        <catStat type="freq">
          1495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rural Lower Egypt
        </labl>
        <catStat type="freq">
          3439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Urban Upper Egypt
        </labl>
        <catStat type="freq">
          1542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rural Upper Egypt
        </labl>
        <catStat type="freq">
          3180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Frontier Governorates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1453" name="RURURB" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          6756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          5707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2"


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1454" name="MALNUM" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Number of Males
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        2.005
      </sumStat>
      <sumStat type="stdev">
        1.205
      </sumStat>
      <txt>
        Total number of Males in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1455" name="FEMLNUM" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Number of Females
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        2.043
      </sumStat>
      <sumStat type="stdev">
        1.163
      </sumStat>
      <txt>
        Total number of females in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1456" name="HNUM" files="F11" dcml="0" intrvl="contin">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="23"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        4.049
      </sumStat>
      <sumStat type="stdev">
        1.761
      </sumStat>
      <txt>
        Total number of persons in the household (including children or any other individuals not included in individual-level survey for any reason)
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In general, summation over all individuals in the household.
If the individual file does not include all household members, the variable is constructed directly from household level original information
HNUM=FEMLNUM+MALNUM

COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1457" name="CH14" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Number of persons under age 14
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.291
      </sumStat>
      <sumStat type="stdev">
        1.358
      </sumStat>
      <txt>
        Number of persons under age 14 living in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This includes (ever) married children as well as heads and spouses under fourteen .
If the individual file does not include all household members, the variable is constructed directly from household level original information


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1458" name="NUM65" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Number of persons aged 65 or more
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        0.229
      </sumStat>
      <sumStat type="stdev">
        0.502
      </sumStat>
      <txt>
        Number of household members aged 65 or more including head and spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          10078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If the individual file does not include all household members, the variable is constructed directly from household level original information


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1459" name="HCOMP" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="29" width="1" RecSegNo="1"/>
      <labl>
        Household composition
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the composition of the household with the number of adults and of children using standardized family models: 2 adults no children, 2 adults 1-2 children etc..
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1-2 adults, no child
        </labl>
        <catStat type="freq">
          2572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-2 adults, 1-2 children
        </labl>
        <catStat type="freq">
          2756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1-2 adult, 3 or more children
        </labl>
        <catStat type="freq">
          2833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 adults or more, 0-1 child
        </labl>
        <catStat type="freq">
          2685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          3 adults or more, 2-3 children
        </labl>
        <catStat type="freq">
          1308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          3 adults or more, 4 children or more
        </labl>
        <catStat type="freq">
          309
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variables might not exist in all surveys and can be constructed using the information in the household and person files.
In case the variable is generated, the adult is defined as either a:
- HH member aged 18 years or older 
- HH head even if aged less than 18 years
- a married HH member even if aged less than 18 years 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1460" name="MARRIED" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        Head living in couple
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Standardized code that indicates whether the head of the household has a partner and the type of partnership
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No couple present in the household
        </labl>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Married couple head and spouse
        </labl>
        <catStat type="freq">
          9468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Several cohabiting spouses
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The head may cohabit with his mother or sister and in this case the concept of No couple applies. Another possible status is when the head has several spouses. Here a problem should exist if the spouses live in different houses so two different households may have the same head. 
Generated from individual files


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1461" name="EARN" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Number of earners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of household members who receives any earnings.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3855
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All individuals who have received any earnings during the reference period, only a subset may have been in employment at the time of the survey.
If the individual file does not include all household members, or if incomes are not available at the individual level, the variable is constructed either from other individual level variables (e.g. employment status), or directly from household level original information.
Pensioners and any individual receiving any kind of income is considered as earner. 


COUNTRY SPECIFIC NOTES
----------------------------------
Number of earners is computed by counting the number of members per household providing income from different sources]]>
      </notes>
    </var>
    <var ID="V1462" name="INCS" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Source of income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="50"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main income source of the household
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Household business
        </labl>
        <catStat type="freq">
          2900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Salaries and wages
        </labl>
        <catStat type="freq">
          6654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Remittances from country or abroad
        </labl>
        <catStat type="freq">
          2869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Pensions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable may not exist in most of the surveys but can be constructed from the individual files 


COUNTRY SPECIFIC NOTES
----------------------------------
The main source of income for the household was generated using variables indicating the total net annual income per household by source of income,  assuming that the maximum value of income by sources indicated is the main source of income, i.e., if the household income from wages is higher than that from agricultural activities, the main source of income is assumed to be wages and salaries.

Cash Remittances includes pensions.]]>
      </notes>
    </var>
    <var ID="V1463" name="DWLTYP" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          1790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          10171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          494
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable mainly distinguishes between villa, apartments and others 
"House" includes traditional, modern or Arabic house etc.
"Villa" includes palace, villa or a floor in a villa, duplex etc.
"Other" includes clay/reed house, primitive house, caravan etc.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1464" name="DWLTYP_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="37" width="3" RecSegNo="1"/>
      <labl>
        Type of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="450"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Countryside house
        </labl>
        <catStat type="freq">
          1790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Arabic house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Traditional house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Modern house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Public or part of a public house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Small house (part of a villa)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          House in an agency
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          House built in bricks or rocks or concrete
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          One floor building
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Villa or floor in a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Part of a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palace
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          10070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          More than one apartment
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Studio
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          One or more separate room
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          One or more room in a housing unit
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Clay or reed house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Other place not suitable for residence
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is the detailed version of the above type of dwelling variable (DWLTYP), it mainly distinguishes between different types of houses, villas, apartments and other residential units. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1465" name="DWLTEN" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          1757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          8831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          1875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable distinguishes between owned or rented living quarters.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1466" name="DWLTEN_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="430"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Unfurnished rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Furnished rent
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Old law rent
        </labl>
        <catStat type="freq">
          673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          New law rent
        </labl>
        <catStat type="freq">
          1074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Rent with key money
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unit owned (privately or jointly)
        </labl>
        <catStat type="freq">
          7442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unit bought
        </labl>
        <catStat type="freq">
          1389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          In the process of being acquired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Mortgage with or without rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Provided free by employer, by work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Subsidized rent, without payment, from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Gift/granted
        </labl>
        <catStat type="freq">
          1782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          In-kind benefit
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Without payment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Free agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          No agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Provided for work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable distinguishes between different types of owned, rented, provided free or other forms of tenure for living quarters.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1467" name="ROOM" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        3.586
      </sumStat>
      <sumStat type="stdev">
        0.931
      </sumStat>
      <txt>
        Number of rooms excluding bathroom and kitchen
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys there is no indication whether the bathroom and kitchen are counted in the number of rooms or not, we assume they are excluded 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1468" name="ELECT" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Electrified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the dwelling is electrified or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electrified
        </labl>
        <catStat type="freq">
          12435
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is often generated from the source of lighting. Using private generator is considered as electrified.


COUNTRY SPECIFIC NOTES
----------------------------------
The source of electricity is assumed to be public since there is no distinction between public and private networks]]>
      </notes>
    </var>
    <var ID="V1469" name="SLIGHT" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for lighting
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Distinguish between public and private sources of electricity and other sources of lighting
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No lighting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public network
        </labl>
        <catStat type="freq">
          12434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Private electricity includes community and private generators and cooperative networks
"Others" may include sources that are presented independently in the standardized value if the survey is not enough detailed (example it may include gas and kerosene) 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1470" name="SCOOK" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for cooking
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Distinguish between different sources of energy for cooking
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No cooking
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          12450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood AND coal
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1471" name="WAT" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Water facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates from where the household get its drinking water
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped supply
        </labl>
        <catStat type="freq">
          11307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public tap
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanker
        </labl>
        <catStat type="freq">
          422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          367
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable indicates the main source of drinking water. Piped supply includes public and private networks; public tap includes fountains and springs; wells are either with or without pumps private or public etc. Tanker includes purchased water indoor or outdoor; other includes lakes, rivers, makhzen for rainwater etc. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1472" name="TOIF" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicate whether the household has access to toilet facility
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes and connected to sewage
        </labl>
        <catStat type="freq">
          9812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes and not connected to sewage
        </labl>
        <catStat type="freq">
          2651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No facility
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case we don't have information on the connection to sewage system but we do know if the toilet is inside or outside the dwelling we can consider toilets outside the dwelling as not connected to sewage (option 2). 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1473" name="TOIF_SH" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility shared
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the household shares the toilet facility or not
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Private toilet
        </labl>
        <catStat type="freq">
          12196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Shared toilet
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No toilet facility
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case we don't have information on whether the toilet is shared or no but we do know if the toilet is inside or outside the dwelling we can consider that all toilets outside the dwelling are shared toilets


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1474" name="GRBG_DSP" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="52" width="3" RecSegNo="1"/>
      <labl>
        Garbage disposal method
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="740"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the method the household uses for garbage disposal
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Collected
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Collected by a garbage collector
        </labl>
        <catStat type="freq">
          1554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Collected by a private company
        </labl>
        <catStat type="freq">
          836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Collected by government services
        </labl>
        <catStat type="freq">
          2627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Thrown in a public bin
        </labl>
        <catStat type="freq">
          3619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Thrown in a closed public bin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Thrown in an unclosed public bin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Thrown in a garbage area
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Thrown in the streets
        </labl>
        <catStat type="freq">
          993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Thrown randomly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Burnt
        </labl>
        <catStat type="freq">
          1355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Heap
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Pit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Recycled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Used as food for animals
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1475" name="CAR" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Has a car, van, taxi, cart, etc ...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a car, van, taxi, cart … or any other type of vehicles
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          730
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Private car]]>
      </notes>
    </var>
    <var ID="V1476" name="MBCYCLE" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Has bicycle, scooter, motorcycle, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to bicycle, scooter, motorcycle, etc...
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1344
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Bicycle and motorcycle.]]>
      </notes>
    </var>
    <var ID="V1477" name="TELV" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Has a TV, LCD, LED, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a TV, LCD, LED, etc..
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12122
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Colored TV and B&W TV]]>
      </notes>
    </var>
    <var ID="V1478" name="SATD_REC" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Has satellite dish, receiver, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a satellite dish, receiver, etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          11982
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Satellite dish or satellite dish connection]]>
      </notes>
    </var>
    <var ID="V1479" name="PLAYER" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Has DVD, VCR, CD player, audio player, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a DVD, VCR, CD player, recorder, audio player etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          12307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: VCR, DVD, stereo cassette or radio/cassette, audio and audio/video players (MP3, MP4, and MP5)]]>
      </notes>
    </var>
    <var ID="V1480" name="CAMERA" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Has photo or video camera
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a photo or video camera
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          12404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Photo, digital or video camera]]>
      </notes>
    </var>
    <var ID="V1481" name="TELPH" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        Has telephone, cell phone, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a telephone, cell phone etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12130
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Landline or cell phone]]>
      </notes>
    </var>
    <var ID="V1482" name="COMPUTER" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Has computer or laptop connected or not to an internet line
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a  computer or laptop connected or not to an internet line]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1412
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Personal computer and laptop]]>
      </notes>
    </var>
    <var ID="V1483" name="INTERNET" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Has internet line and related equipments (router, USB, etc ...)
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to an  internet line and related equipments (router, USB, etc…)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          6016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          6447
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Internet connection and router]]>
      </notes>
    </var>
    <var ID="V1484" name="REFRG" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Has refrigerator, freezer, water cooler, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a refrigerator,  freezer, water cooler, etc...]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12168
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Refrigerator and deep freezer]]>
      </notes>
    </var>
    <var ID="V1485" name="COOKER" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Has cooker, stove, oven, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a gas or electric cooker, stove, oven, etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12281
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Gas or electric cooker and stove]]>
      </notes>
    </var>
    <var ID="V1486" name="MICROWAVE" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Has microwave, grill, fryer etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a  microwave, grill, fryer, etc…]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          880
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Microwave or grill]]>
      </notes>
    </var>
    <var ID="V1487" name="SKITAPP" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Has food processor, kitchen machine, blender, grinder etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to any of  small kitchen appliances like a food processor, kitchen machine, blender, grinder etc…]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          11759
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Blender, grinder and kitchen machine]]>
      </notes>
    </var>
    <var ID="V1488" name="WASH" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Has washing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a manual or an automatic washing machine
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12063
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric manual, semi-automatic or automatic washing machine]]>
      </notes>
    </var>
    <var ID="V1489" name="DSHWSH" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Has a dishwasher
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a dishwasher
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          12376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Dishwasher]]>
      </notes>
    </var>
    <var ID="V1490" name="COND" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Has an air conditioner
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an air conditioner
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          10293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2170
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: AC]]>
      </notes>
    </var>
    <var ID="V1491" name="FAN" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Has an electric fan
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an electric fan
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          12068
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric fan and hoods]]>
      </notes>
    </var>
    <var ID="V1492" name="HEATER" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Has a heater
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a gas, electric or solar heater
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          604
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric, gas or kerosene heater]]>
      </notes>
    </var>
    <var ID="V1493" name="WAHEAT" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Has a water heater
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a solar, gas or electric water heater
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          8370
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric or gas water heater]]>
      </notes>
    </var>
    <var ID="V1494" name="SEWING" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Has a sewing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a sewing machine
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          12294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Sewing machine]]>
      </notes>
    </var>
    <var ID="V1495" name="VACUUM" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Has a vacuum cleaner
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a vacuum cleaner
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          9604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2859
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric vacuum]]>
      </notes>
    </var>
    <var ID="V1496" name="IRON" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Has an iron
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an iron
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          8946
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric iron]]>
      </notes>
    </var>
    <var ID="V1497" name="WATERMOTOR" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Has a Water Motor
      </labl>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          8362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          4101
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1498" name="ODUR" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Has other durables
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to any other household appliance
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          9968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2495
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Water filter]]>
      </notes>
    </var>
    <var ID="V1499" name="RICE" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Rice expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenditures on rice in all forms
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1500" name="GRAIN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Grains and flour expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Wheat, Maize, Barely and all cereals in the grain or flour form
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1501" name="BREAD" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Bread and cakes expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Bread in all forms, biscuits, cakes pizza..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1502" name="PAST" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Pasta expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Macaroni, Noodles, Couscous ..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1503" name="CERPRE" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Cereal preparation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Cornflakes, malt, tapioca..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1504" name="CEROWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Bread and Cereals
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Bread and Cereals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1505" name="SMEAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Sheep and goats Meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh frozen and tinned goats and sheep meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1506" name="CMEAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Cow meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh frozen and tinned cow meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1507" name="OMEAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Other meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh frozen and tinned camel, rabbit, pork etc. meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1508" name="CHMEAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Chicken meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh frozen and tinned chicken, turkey, birds etc. meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1509" name="LMEAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Luncheon and Tinned meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh and frozen luncheon, tinned and others meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1510" name="MEATOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Meat and Poultry
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Meat and Poultry
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1511" name="FISH" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        Fish expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1512" name="SEAF" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        Seafood expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh, frozen and proceed seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1513" name="FSHSEAOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Fish and Seafood
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Fish and Seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1514" name="MILK" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        Milk expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Fresh, powder, condensed and infant powder milk expenses
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1515" name="YOGH" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Yogurt expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1516" name="CHES" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Cheese expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Processed, home made, tinned etc. cheese
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1517" name="EGG" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Eggs expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Eggs and wholly made egg products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1518" name="DAIRYOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Dairy Products
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Dairy Products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1519" name="OOIL" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Olive oil expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Olive oil
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1520" name="OIL" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Other oils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Corn, sunflower, soya etc
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1521" name="BUT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="99" EndPos="99" width="1" RecSegNo="1"/>
      <labl>
        Butter and margarine expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Butter, margarine, ghee, ...
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1522" name="FAT" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="100" EndPos="100" width="1" RecSegNo="1"/>
      <labl>
        Fat expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Animal and vegetable fats and other edible
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1523" name="OILFATOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="101" EndPos="101" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Oil AND Fats
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Oil &amp; Fats
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1524" name="FRUITOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="102" EndPos="102" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Fruits
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Fruits
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1525" name="VEGOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="103" EndPos="103" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Vegetables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Vegetables
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1526" name="SUGAROWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="104" EndPos="104" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Sugar and Jam
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Sugar and Jam
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1527" name="SPICOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="105" EndPos="105" width="1" RecSegNo="1"/>
      <labl>
        Expenses on Own-Produced Spices
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on Own-Produced Spices
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1528" name="BEVOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="106" EndPos="106" width="1" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Beverages
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on own-Produced Beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys own-produced water may be for irrigation purposes


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1529" name="OTHFOWN" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="107" EndPos="107" width="1" RecSegNo="1"/>
      <labl>
        Expenses on other non-specified own-produced food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Includes all other own produced food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1530" name="TOB" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="108" EndPos="108" width="1" RecSegNo="1"/>
      <labl>
        Tobacco expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Expenses on tobacco, cigarettes, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1531" name="CEREXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="109" EndPos="116" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Bread and Cereals
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="26" max="16588"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12459
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat type="min">
        45.5
      </sumStat>
      <sumStat type="max">
        19526
      </sumStat>
      <sumStat type="mean">
        3376.856
      </sumStat>
      <sumStat type="stdev">
        1906.451
      </sumStat>
      <txt>
        Expenses on purchased Bread and Cereals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=RICE+GRAIN+BREAD+PAST+CERPRE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1532" name="MEATEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="117" EndPos="124" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Meat and Poultry
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="26" max="32604"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12300
      </sumStat>
      <sumStat type="invd">
        163
      </sumStat>
      <sumStat type="min">
        78
      </sumStat>
      <sumStat type="max">
        47398
      </sumStat>
      <sumStat type="mean">
        7130.292
      </sumStat>
      <sumStat type="stdev">
        4446.775
      </sumStat>
      <txt>
        Expenses on purchased Meat and Poultry
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=SMEAT+CMEAT+OMEAT+CHMEAT+LMEAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1533" name="FSHSEAEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="125" EndPos="132" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Fish and Seafood
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="26" max="23920"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9627
      </sumStat>
      <sumStat type="invd">
        2836
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        19760
      </sumStat>
      <sumStat type="mean">
        2243.552
      </sumStat>
      <sumStat type="stdev">
        1726.387
      </sumStat>
      <txt>
        Expenses on purchased Fish and Seafood
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=FISH+SEAF


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1534" name="DAIRYEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="133" EndPos="140" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Dairy Products
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="45.5" max="10764"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12432
      </sumStat>
      <sumStat type="invd">
        31
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        30160
      </sumStat>
      <sumStat type="mean">
        3096.225
      </sumStat>
      <sumStat type="stdev">
        1900.368
      </sumStat>
      <txt>
        Expenses on purchased Dairy Products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=MILK+YOGH+CHES+EGG


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1535" name="OILFATEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="141" EndPos="148" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Oil AND Fats
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="39" max="5638.04347826087"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12414
      </sumStat>
      <sumStat type="invd">
        49
      </sumStat>
      <sumStat type="min">
        37.375
      </sumStat>
      <sumStat type="max">
        15171
      </sumStat>
      <sumStat type="mean">
        2172.236
      </sumStat>
      <sumStat type="stdev">
        1159.942
      </sumStat>
      <txt>
        Expenses on purchased Oil &amp; Fats
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=OOIL+OIL+BUT+FAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1536" name="FRUITEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="149" EndPos="156" width="8" RecSegNo="1"/>
      <labl>
        Fruits expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="13" max="10452"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12349
      </sumStat>
      <sumStat type="invd">
        114
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        14586
      </sumStat>
      <sumStat type="mean">
        1572.812
      </sumStat>
      <sumStat type="stdev">
        1011.268
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned fruits, nuts
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1537" name="VEGEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="157" EndPos="164" width="8" RecSegNo="1"/>
      <labl>
        Vegetables expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="13" max="10881"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12458
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        17615
      </sumStat>
      <sumStat type="mean">
        3948.164
      </sumStat>
      <sumStat type="stdev">
        1692.836
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1538" name="SUGAREXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="165" EndPos="172" width="8" RecSegNo="1"/>
      <labl>
        Expenses on sugar and jam expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="30.81" max="29380"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12417
      </sumStat>
      <sumStat type="invd">
        46
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        11284
      </sumStat>
      <sumStat type="mean">
        1136.103
      </sumStat>
      <sumStat type="stdev">
        829.762
      </sumStat>
      <txt>
        Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1539" name="SPICEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="173" EndPos="180" width="8" RecSegNo="1"/>
      <labl>
        Spices expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6.5" max="4004"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12446
      </sumStat>
      <sumStat type="invd">
        17
      </sumStat>
      <sumStat type="min">
        13
      </sumStat>
      <sumStat type="max">
        26858
      </sumStat>
      <sumStat type="mean">
        595.264
      </sumStat>
      <sumStat type="stdev">
        675.883
      </sumStat>
      <txt>
        Salt, black pepper, sauces, seasonings, vanilla etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1540" name="BEVEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="181" EndPos="188" width="8" RecSegNo="1"/>
      <labl>
        Beverages expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="13" max="5200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12436
      </sumStat>
      <sumStat type="invd">
        27
      </sumStat>
      <sumStat type="min">
        19.5
      </sumStat>
      <sumStat type="max">
        13468
      </sumStat>
      <sumStat type="mean">
        925.382
      </sumStat>
      <sumStat type="stdev">
        732.304
      </sumStat>
      <txt>
        Coffee, tea, water fruit end vegetable juices
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1541" name="OTHFEXP" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="189" EndPos="196" width="8" RecSegNo="1"/>
      <labl>
        Expenses on other non-specified food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        10611
      </sumStat>
      <sumStat type="invd">
        1852
      </sumStat>
      <sumStat type="min">
        6.5
      </sumStat>
      <sumStat type="max">
        10400
      </sumStat>
      <sumStat type="mean">
        251.444
      </sumStat>
      <sumStat type="stdev">
        350.935
      </sumStat>
      <txt>
        Includes all other purchased food items non-specified in the questionnaire
      </txt>
      <catgry>
        <catValu>
          6.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19.5
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32.5
        </catValu>
        <catStat type="freq">
          799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45.5
        </catValu>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <catStat type="freq">
          459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          58.5
        </catValu>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          1565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71.5
        </catValu>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84.5
        </catValu>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97.5
        </catValu>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <catStat type="freq">
          201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110.5
        </catValu>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123.5
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136.5
        </catValu>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149.5
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162.5
        </catValu>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175.5
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188.5
        </catValu>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201.5
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214.5
        </catValu>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227.5
        </catValu>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240.5
        </catValu>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253.5
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <catStat type="freq">
          284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266.5
        </catValu>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279.5
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292.5
        </catValu>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305.5
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          318.5
        </catValu>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331.5
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344.5
        </catValu>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          357.5
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370.5
        </catValu>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383.5
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          396.5
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409.5
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422.5
        </catValu>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          435.5
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          448.5
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474.5
        </catValu>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          487.5
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500.5
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513.5
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526.5
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539.5
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552.5
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          565.5
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578.5
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591.5
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604.5
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          617.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630.5
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          637
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          656.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          669.5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          676
        </catValu>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682.5
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          689
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          708.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          715
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          747.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760.5
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          767
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          786.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          793
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          806
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812.5
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          819
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          845
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          864.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          877.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          884
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          890.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          897
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          903.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          929.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          936
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942.5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          968.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          975
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          988
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          994.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1014
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1020.5
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1027
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1033.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1040
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1046.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1053
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1066
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1072.5
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1079
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1092
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1098.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1118
        </catValu>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1124.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1131
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1144
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1150.5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1157
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1176.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1183
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1196
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1202.5
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1215.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1222
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1235
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1248
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1254.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1267.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1274
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1280.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1313
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1319.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1326
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1332.5
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1352
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1378
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1391
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1436.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1456
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1488.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1495
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1508
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1514.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1534
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1560
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1586
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1592.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1599
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1612
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1644.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1690
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1768
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1872
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1969.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2028
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2054
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2158
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5284.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5460
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7995
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8092.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8112
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8196.5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8307
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8333
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8996
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10400
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1852
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1542" name="TOTPFOOD" files="F11" dcml="2" intrvl="contin">
      <location StartPos="197" EndPos="205" width="9" RecSegNo="1"/>
      <labl>
        Expenses on total purchased food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="604.608333333333" max="131898"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12462
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        126048
      </sumStat>
      <sumStat type="mean">
        25768.944
      </sumStat>
      <sumStat type="stdev">
        10764.81
      </sumStat>
      <txt>
        Total amounts of food and beverage purchased from the market
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CEREXP+MEATEXP+FSHSEAEXP+DAIRYEXP+OILFATEXP+FRUITEXP+VEGEXP+SUGAREXP+SPICEXP+BEVEXP+OTHFEXP


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1543" name="TOTOWNP" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="206" EndPos="206" width="1" RecSegNo="1"/>
      <labl>
        Expenses on total Own produced food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Food and beverage own produced products, consumed or given away
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CEROWN+MEATOWN+FSHSEAOWN+DAIRYOWN+OILFATOWN+FRUITOWN+VEGOWN+SUGAROWN+SPICOWN+BEVOWN+OTHFOWN


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1544" name="TOTGIKD" files="F11" dcml="2" intrvl="contin">
      <location StartPos="207" EndPos="214" width="8" RecSegNo="1"/>
      <labl>
        Expenses on total Gifts and in-kind food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.3" max="23632.5869565217"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3753
      </sumStat>
      <sumStat type="invd">
        8710
      </sumStat>
      <sumStat type="min">
        19.5
      </sumStat>
      <sumStat type="max">
        45480.5
      </sumStat>
      <sumStat type="mean">
        3120.646
      </sumStat>
      <sumStat type="stdev">
        3340.686
      </sumStat>
      <txt>
        Food and beverage products received from other households
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, this category may be aggregated with purchased food or own produced food


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1545" name="FOODEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="215" EndPos="223" width="9" RecSegNo="1"/>
      <labl>
        Expenses on food and non-alcoholic beverages
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="838.716666666666" max="131898"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2951
      </sumStat>
      <sumStat type="max">
        126048
      </sumStat>
      <sumStat type="mean">
        26706.601
      </sumStat>
      <sumStat type="stdev">
        10681.44
      </sumStat>
      <txt>
        Expenses on food and non-alcoholic beverages. Ideally, corresponds to Code 01 of the COICOP classification (SUM of 01).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All food expenditures include also own grown products expenses and gifts/in-kind received food. Expenses on take away food and meals taken in restaurants are included under code 11
= TOTPFOOD+TOTOWNP+TOTGIKD


COUNTRY SPECIFIC NOTES
----------------------------------
Expenditure aggregates are based on the expenditure data already aggregated and provided (no detailed amounts for expenditure items are available).

Expenditure data was annualized based on the periods provided by CAPMAS for each data file indicating expenditure on one of the items.

Imputed expenditure amounts on own-produced products are not available, therefore all amounts provided were assumed to be purchased.

Items aggregated under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V1546" name="ALCOEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="224" EndPos="228" width="5" RecSegNo="1"/>
      <labl>
        Expenses on alcohol and tobacco
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="42" max="21960"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5258
      </sumStat>
      <sumStat type="invd">
        7205
      </sumStat>
      <sumStat type="min">
        60
      </sumStat>
      <sumStat type="max">
        33660
      </sumStat>
      <sumStat type="mean">
        6044.012
      </sumStat>
      <sumStat type="stdev">
        4003.437
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, tobacco, and narcotics. Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ALC+TOB


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1547" name="CLOTH" files="F11" dcml="2" intrvl="contin">
      <location StartPos="229" EndPos="236" width="8" RecSegNo="1"/>
      <labl>
        Clothes for men, women and children expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="60400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11554
      </sumStat>
      <sumStat type="invd">
        909
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        43500
      </sumStat>
      <sumStat type="mean">
        2387.404
      </sumStat>
      <sumStat type="stdev">
        2123.034
      </sumStat>
      <txt>
        Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some countries, we have observations on own-produced clothes, but since these are very small amounts, they are lumped with purchased


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1548" name="MCLO" files="F11" dcml="2" intrvl="contin">
      <location StartPos="237" EndPos="244" width="8" RecSegNo="1"/>
      <labl>
        Clothing material expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.5" max="3000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        8631
      </sumStat>
      <sumStat type="invd">
        3832
      </sumStat>
      <sumStat type="min">
        -4800
      </sumStat>
      <sumStat type="max">
        4150
      </sumStat>
      <sumStat type="mean">
        32.414
      </sumStat>
      <sumStat type="stdev">
        474.017
      </sumStat>
      <txt>
        Clothing material of all kind of fibers, tailoring and accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1549" name="CHAR" files="F11" dcml="2" intrvl="contin">
      <location StartPos="245" EndPos="251" width="7" RecSegNo="1"/>
      <labl>
        Tailoring charges expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="9600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        8865
      </sumStat>
      <sumStat type="invd">
        3598
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        8380
      </sumStat>
      <sumStat type="mean">
        222.311
      </sumStat>
      <sumStat type="stdev">
        387.886
      </sumStat>
      <txt>
        All tailoring, cleaning, repairing charges of clothes
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1550" name="FOOTW" files="F11" dcml="2" intrvl="contin">
      <location StartPos="252" EndPos="258" width="7" RecSegNo="1"/>
      <labl>
        Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="20000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11346
      </sumStat>
      <sumStat type="invd">
        1117
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        9825
      </sumStat>
      <sumStat type="mean">
        713.132
      </sumStat>
      <sumStat type="stdev">
        593.789
      </sumStat>
      <txt>
        Shoes, sandals, boots and slipper for men and women, excluding those for school
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes repairing and hire charges


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1551" name="SCHCLTH" files="F11" dcml="2" intrvl="contin">
      <location StartPos="259" EndPos="265" width="7" RecSegNo="1"/>
      <labl>
        School Clothes, Uniforms and Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="9" max="4000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4548
      </sumStat>
      <sumStat type="invd">
        7915
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        5400
      </sumStat>
      <sumStat type="mean">
        532.107
      </sumStat>
      <sumStat type="stdev">
        484.657
      </sumStat>
      <txt>
        School Clothes, Uniforms and Footwear expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1552" name="APPEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="266" EndPos="273" width="8" RecSegNo="1"/>
      <labl>
        Expenses on clothing and footwear
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="76080"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12081
      </sumStat>
      <sumStat type="invd">
        382
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        57705
      </sumStat>
      <sumStat type="mean">
        3339.61
      </sumStat>
      <sumStat type="stdev">
        2922.658
      </sumStat>
      <txt>
        Expenses on clothing and footwear. Ideally, corresponds to Code 03 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CLOTH+MCLO+CHAR+FOOTW+SCHCLTH


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1553" name="ARHOUS" files="F11" dcml="2" intrvl="contin">
      <location StartPos="274" EndPos="281" width="8" RecSegNo="1"/>
      <labl>
        Actual rentals for housing expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.5" max="27000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1884
      </sumStat>
      <sumStat type="invd">
        10579
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        92400
      </sumStat>
      <sumStat type="mean">
        7205.513
      </sumStat>
      <sumStat type="stdev">
        7930.895
      </sumStat>
      <txt>
        Actual rentals paid by tenants and other actual rentals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Rentals include payment for the use of the land on which the property stands, the dwelling occupied , the fixtures and fittings for heating, plumbing, lighting, etc., and, in the case of a dwelling let furnished, the furniture.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1554" name="IMPREN" files="F11" dcml="2" intrvl="contin">
      <location StartPos="282" EndPos="287" width="6" RecSegNo="1"/>
      <labl>
        Imputed rentals for housing expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="240" max="300000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        10854
      </sumStat>
      <sumStat type="invd">
        1609
      </sumStat>
      <sumStat type="min">
        900
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        11556.166
      </sumStat>
      <sumStat type="stdev">
        7567.38
      </sumStat>
      <txt>
        Imputed rentals of owners occupying their main residence and other imputed rentals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also imputed rentals for secondary residences and imputed rentals of households paying a reduced rental or housed free.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1555" name="REPDW" files="F11" dcml="2" intrvl="contin">
      <location StartPos="288" EndPos="295" width="8" RecSegNo="1"/>
      <labl>
        Maintenance and repair for the Dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="27000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5223
      </sumStat>
      <sumStat type="invd">
        7240
      </sumStat>
      <sumStat type="min">
        7
      </sumStat>
      <sumStat type="max">
        83000
      </sumStat>
      <sumStat type="mean">
        990.711
      </sumStat>
      <sumStat type="stdev">
        3806.473
      </sumStat>
      <txt>
        Materials and services for the maintenance and repair of the dwelling
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Only expenditures which tenants and owner-occupiers incur on materials and services for minor maintenance and repair are part of individual consumption expenditure of households. Renovation costs as well as expenditure on materials and services for major maintenance and repair are excluded, as well as expenditure on mortgage (both the capital and interest part). 
Considered as expenses on non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1556" name="WDWE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="296" EndPos="303" width="8" RecSegNo="1"/>
      <labl>
        Water supply and miscellaneous services relating to the dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3" max="10800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12359
      </sumStat>
      <sumStat type="invd">
        104
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        61750
      </sumStat>
      <sumStat type="mean">
        1165.072
      </sumStat>
      <sumStat type="stdev">
        1162.574
      </sumStat>
      <txt>
        Water supply, refuse collection, sewage collection and others
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also co-proprietor charges for caretaking, gardening, heating and lighting, etc. in multi-occupied buildings; security services


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1557" name="EDWE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="304" EndPos="311" width="8" RecSegNo="1"/>
      <labl>
        Electricity, gas and other fuels expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="8" max="21540"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12456
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat type="min">
        120
      </sumStat>
      <sumStat type="max">
        52340
      </sumStat>
      <sumStat type="mean">
        4158.049
      </sumStat>
      <sumStat type="stdev">
        2161.803
      </sumStat>
      <txt>
        Electricity, Gas, Liquid and solid fuels, Heat energy
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1558" name="HOUSEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="312" EndPos="320" width="9" RecSegNo="1"/>
      <labl>
        Expenses on housing and utilities
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="84" max="333832"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1149
      </sumStat>
      <sumStat type="max">
        176250
      </sumStat>
      <sumStat type="mean">
        16879.73
      </sumStat>
      <sumStat type="stdev">
        9525.06
      </sumStat>
      <txt>
        Expenses on housing (actual and imputed rentals and maintenance and repair of the dwelling), water (water supply and miscellaneous services relating to the dwelling), electricity, gas and other fuels. Renovation costs as well as expenditure on furniture are excluded, as well as expenditure on mortgage (both the capital and interest part). Ideally, corresponds to Code 04 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN+REPDW+WDWE+EDWE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1559" name="HSFUR" files="F11" dcml="2" intrvl="contin">
      <location StartPos="321" EndPos="325" width="5" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="90000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1554
      </sumStat>
      <sumStat type="invd">
        10909
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        70130
      </sumStat>
      <sumStat type="mean">
        814.124
      </sumStat>
      <sumStat type="stdev">
        3138.531
      </sumStat>
      <txt>
        Furniture and furnishings, carpets and other floor coverings
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Beds, sofas, couches, tables, chairs, etc., lighting equipment, pictures, sculptures, screens, loose and fitted carpets, etc.
Durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1560" name="FURREP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="326" EndPos="329" width="4" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture repair expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="20000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        102
      </sumStat>
      <sumStat type="invd">
        12361
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        4000
      </sumStat>
      <sumStat type="mean">
        404.98
      </sumStat>
      <sumStat type="stdev">
        723.058
      </sumStat>
      <txt>
        Furniture and furnishings repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable includes repair of furniture and furnishings
Non-Durable

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1561" name="HSTEX" files="F11" dcml="2" intrvl="contin">
      <location StartPos="330" EndPos="334" width="5" RecSegNo="1"/>
      <labl>
        Household textiles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="5" max="18000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2604
      </sumStat>
      <sumStat type="invd">
        9859
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        15950
      </sumStat>
      <sumStat type="mean">
        499.098
      </sumStat>
      <sumStat type="stdev">
        773.479
      </sumStat>
      <txt>
        Furnishing fabrics, bedding, bed linen, table linen and bathroom linen and repair of such articles.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1562" name="MHAPL" files="F11" dcml="2" intrvl="contin">
      <location StartPos="335" EndPos="339" width="5" RecSegNo="1"/>
      <labl>
        Major Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="16200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        947
      </sumStat>
      <sumStat type="invd">
        11516
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        28000
      </sumStat>
      <sumStat type="mean">
        1882.074
      </sumStat>
      <sumStat type="stdev">
        2757.856
      </sumStat>
      <txt>
        Major household appliances whether electric or not
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Refrigerators, freezers and fridge-freezers;
- washing machines, dryers, drying cabinets, dishwashers, ironing and pressing machines;
- cookers, spit roasters, hobs, ranges, ovens and microwave ovens;
- air-conditioners, humidifiers, space heaters, water heaters, ventilators and extractor hoods;
- vacuum cleaners, steam-cleaning machines, carpet shampooing machines and machines for scrubbing, waxing and polishing floors;
- other major household appliances such as safes, sewing machines, knitting machines, water softeners, etc.
Includes: delivery and installation of the appliances when applicable.
Excludes: such appliances that are built into the structure of the building 
Considered as expenses on durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1563" name="SHAPL" files="F11" dcml="2" intrvl="contin">
      <location StartPos="340" EndPos="343" width="4" RecSegNo="1"/>
      <labl>
        Small Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="3" max="2500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        474
      </sumStat>
      <sumStat type="invd">
        11989
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        4500
      </sumStat>
      <sumStat type="mean">
        378.416
      </sumStat>
      <sumStat type="stdev">
        480.073
      </sumStat>
      <txt>
        Small electric appliances
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Coffee mills, coffee-makers, juice extractors, can-openers, food mixers, deep fryers, meat grills, knives, toasters, ice cream makers, hotplates, irons, electric blankets, etc. 
Excludes: small non-electric household articles and kitchen utensils etc.
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1564" name="RAPPL" files="F11" dcml="2" intrvl="contin">
      <location StartPos="344" EndPos="348" width="5" RecSegNo="1"/>
      <labl>
        Repair of appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="4395"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4660
      </sumStat>
      <sumStat type="invd">
        7803
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        17000
      </sumStat>
      <sumStat type="mean">
        406.524
      </sumStat>
      <sumStat type="stdev">
        580.743
      </sumStat>
      <txt>
        Repair of appliances expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Total value of the service (that is, both the cost of labour and the cost of materials are covered); charges for the leasing or rental of major household appliances.
Excludes: separate purchases of materials made by households with the intention of undertaking the repair themselves 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1565" name="HUST" files="F11" dcml="2" intrvl="contin">
      <location StartPos="349" EndPos="355" width="7" RecSegNo="1"/>
      <labl>
        Glassware, tableware and household utensils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3" max="11215"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6574
      </sumStat>
      <sumStat type="invd">
        5889
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        9735
      </sumStat>
      <sumStat type="mean">
        133.72
      </sumStat>
      <sumStat type="stdev">
        244.891
      </sumStat>
      <txt>
        Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1566" name="MHOPE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="356" EndPos="359" width="4" RecSegNo="1"/>
      <labl>
        Major other housing equipment and operation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="20" max="2000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6
      </sumStat>
      <sumStat type="invd">
        12457
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        1000
      </sumStat>
      <sumStat type="mean">
        379.167
      </sumStat>
      <sumStat type="stdev">
        482.954
      </sumStat>
      <txt>
        Major tools and equipment for house and garden,
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Motorized tools and equipment such as electric drills, saws, sanders and hedge cutters, garden tractors, lawnmowers, cultivators, chainsaws and water pumps;
- repair of such articles.
Includes: charges for the leasing or rental of do-it-yourself machinery and equipment.
Considered as expenses on durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1567" name="SHOPE" files="F11" dcml="2" intrvl="contin">
      <location StartPos="360" EndPos="363" width="4" RecSegNo="1"/>
      <labl>
        Small other housing equipment and operation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="4080"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9475
      </sumStat>
      <sumStat type="invd">
        2988
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        2530
      </sumStat>
      <sumStat type="mean">
        116.988
      </sumStat>
      <sumStat type="stdev">
        109.776
      </sumStat>
      <txt>
        Small tools and miscellaneous accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Hand tools, garden tools, small electric accessories and their repair 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1568" name="HSGS" files="F11" dcml="2" intrvl="contin">
      <location StartPos="364" EndPos="371" width="8" RecSegNo="1"/>
      <labl>
        Goods and services for routine household maintenance expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="37304"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        60
      </sumStat>
      <sumStat type="max">
        64367
      </sumStat>
      <sumStat type="mean">
        1577.6
      </sumStat>
      <sumStat type="stdev">
        1456.992
      </sumStat>
      <txt>
        Non-durable household goods and domestic services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Cleaning products such as soaps, washing powder etc. 
Domestic & cleaning services such as cooks, maids, drivers, gardeners, dry clean etc. 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1569" name="EQUIPEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="372" EndPos="379" width="8" RecSegNo="1"/>
      <labl>
        Expenses on furniture AND housing equipment
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="90150"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        80
      </sumStat>
      <sumStat type="max">
        98390
      </sumStat>
      <sumStat type="mean">
        2255.769
      </sumStat>
      <sumStat type="stdev">
        2543.368
      </sumStat>
      <txt>
        Expenses on furnishings (furniture and furnishings, carpets and other floor coverings), household equipment (household textiles, household appliances, glassware, tableware and household utensils, tools and equipment for house and garden) and goods and services for routine household maintenance. Ideally, corresponds to Code 05 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+FURREP+HSTEX+MHAPL+SHAPL+RAPPL+HUST+MHOPE+SHOPE+HSGS


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1570" name="PMEDP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="380" EndPos="388" width="9" RecSegNo="1"/>
      <labl>
        Pharmaceutical and other medical products expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="50700"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12363
      </sumStat>
      <sumStat type="invd">
        100
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        377766
      </sumStat>
      <sumStat type="mean">
        4949.618
      </sumStat>
      <sumStat type="stdev">
        7766.659
      </sumStat>
      <txt>
        Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1571" name="TAEQ" files="F11" dcml="2" intrvl="contin">
      <location StartPos="389" EndPos="393" width="5" RecSegNo="1"/>
      <labl>
        Therapeutic appliances and equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="1" max="14500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        915
      </sumStat>
      <sumStat type="invd">
        11548
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        43000
      </sumStat>
      <sumStat type="mean">
        683.886
      </sumStat>
      <sumStat type="stdev">
        2386.219
      </sumStat>
      <txt>
        Corrective eyeglasses and contact lenses, hearing aids, glass eyes, artificial limbs and other prosthetic devices, orthopedic braces and supports, orthopedic footwear, surgical belts, trusses and supports, neck braces, medical massage equipment and health lamps, powered and unpowered wheelchairs and invalid carriages, "special" beds, crutches, electronic and other devices for monitoring blood pressure, etc.;
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1572" name="MEDSERV" files="F11" dcml="2" intrvl="contin">
      <location StartPos="394" EndPos="402" width="9" RecSegNo="1"/>
      <labl>
        Outpatient and Hospital services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="202190"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11436
      </sumStat>
      <sumStat type="invd">
        1027
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        317220
      </sumStat>
      <sumStat type="mean">
        2386.225
      </sumStat>
      <sumStat type="stdev">
        6821.924
      </sumStat>
      <txt>
        <![CDATA[Medical, dental and paramedical services delivered to outpatients by medical, dental and paramedical practitioners and auxiliaries.
Services of general and specialist hospitals, the services of medical centers, maternity centers, nursing homes and convalescent homes which chiefly provide in-patient health care, the services of institutions serving old people in which medical monitoring is an essential component and the services of rehabilitation centers providing in-patient health care and rehabilitative therapy where the objective is to treat the patient rather than to provide long-term support]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The services may be delivered at home, in individual or group consulting facilities, dispensaries or the outpatient clinics of hospitals and the like.
Hospital day-care and home-based hospital treatment are included as are hospices for terminally ill persons.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1573" name="MEDABR" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="403" EndPos="403" width="1" RecSegNo="1"/>
      <labl>
        Expenses on medical services Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1574" name="MEDEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="404" EndPos="412" width="9" RecSegNo="1"/>
      <labl>
        Expenses on health
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="204490"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12376
      </sumStat>
      <sumStat type="invd">
        87
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        387196
      </sumStat>
      <sumStat type="mean">
        7199.964
      </sumStat>
      <sumStat type="stdev">
        11192.451
      </sumStat>
      <txt>
        Expenses on health, including medical products, appliances and equipment, outpatient services, and hospital services. Payments for health insurances are excluded. Ideally, corresponds to Code 06 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PMEDP+TAEQ+MEDSERV+MEDABR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1575" name="TRVEH" files="F11" dcml="2" intrvl="contin">
      <location StartPos="413" EndPos="418" width="6" RecSegNo="1"/>
      <labl>
        Purchase of transportation vehicles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="30" max="308000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        139
      </sumStat>
      <sumStat type="invd">
        12324
      </sumStat>
      <sumStat type="min">
        200
      </sumStat>
      <sumStat type="max">
        550000
      </sumStat>
      <sumStat type="mean">
        45394.388
      </sumStat>
      <sumStat type="stdev">
        86452.69
      </sumStat>
      <txt>
        Purchase of car, bicycles and animal trucked vehicles
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excludes purchases of recreational vehicles such as camper vans, caravans, trailers, and boats 
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1576" name="OTEQ" files="F11" dcml="2" intrvl="contin">
      <location StartPos="419" EndPos="424" width="6" RecSegNo="1"/>
      <labl>
        Operation of personal transport equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="5" max="124600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2228
      </sumStat>
      <sumStat type="invd">
        10235
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        104324
      </sumStat>
      <sumStat type="mean">
        5547.243
      </sumStat>
      <sumStat type="stdev">
        7245.325
      </sumStat>
      <txt>
        Fuels, petrol and purchases of spare parts, accessories or lubricants made by households with the intention of undertaking the maintenance, repair or intervention and services paid to enterprise for carrying out the maintenance, repair or fitting
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1577" name="TRSERV" files="F11" dcml="2" intrvl="contin">
      <location StartPos="425" EndPos="432" width="8" RecSegNo="1"/>
      <labl>
        Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="44000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12325
      </sumStat>
      <sumStat type="invd">
        138
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        85400
      </sumStat>
      <sumStat type="mean">
        2608.487
      </sumStat>
      <sumStat type="stdev">
        2826.929
      </sumStat>
      <txt>
        Transportation by railway, road, air, sea and any other than school transport services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Ambulance services are excluded 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1578" name="SCHSERV" files="F11" dcml="2" intrvl="contin">
      <location StartPos="433" EndPos="433" width="1" RecSegNo="1"/>
      <labl>
        School Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="12485"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        School Transportation services expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys, expenses on school transportation services might be lumped with transport services or education expenditures, in that case the variable would be missing


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1579" name="TRANEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="434" EndPos="442" width="9" RecSegNo="1"/>
      <labl>
        Expenses on transport
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="316114"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12414
      </sumStat>
      <sumStat type="invd">
        49
      </sumStat>
      <sumStat type="min">
        30
      </sumStat>
      <sumStat type="max">
        568180
      </sumStat>
      <sumStat type="mean">
        4093.659
      </sumStat>
      <sumStat type="stdev">
        11917.948
      </sumStat>
      <txt>
        Expenses on transport, including purchase of vehicles, operation of personal transport equipment, and transport services. Ideally, corresponds to Code 07 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=TRVEH+OTEQ+TRSERV+SCHSERV


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1580" name="PTTSERV" files="F11" dcml="2" intrvl="contin">
      <location StartPos="443" EndPos="447" width="5" RecSegNo="1"/>
      <labl>
        Postal telephone and telefax services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="4" max="63760"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12282
      </sumStat>
      <sumStat type="invd">
        181
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        46120
      </sumStat>
      <sumStat type="mean">
        1907.649
      </sumStat>
      <sumStat type="stdev">
        1797.589
      </sumStat>
      <txt>
        Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1581" name="TTEQP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="448" EndPos="451" width="4" RecSegNo="1"/>
      <labl>
        Telephone and telefax equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="5" max="20600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        396
      </sumStat>
      <sumStat type="invd">
        12067
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        363.394
      </sumStat>
      <sumStat type="stdev">
        791.593
      </sumStat>
      <txt>
        Purchases of telephones, telefax machines, etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1582" name="COMMEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="452" EndPos="456" width="5" RecSegNo="1"/>
      <labl>
        Expenses on communication
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="4" max="69760"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12283
      </sumStat>
      <sumStat type="invd">
        180
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        46120
      </sumStat>
      <sumStat type="mean">
        1919.21
      </sumStat>
      <sumStat type="stdev">
        1805.13
      </sumStat>
      <txt>
        Expenses on communication, including postal services, telephone and telefax equipment, and telephone and telefax services. Ideally, corresponds to Code 08 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PTTSERV+TTEQP


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1583" name="CULDUR" files="F11" dcml="2" intrvl="contin">
      <location StartPos="457" EndPos="460" width="4" RecSegNo="1"/>
      <labl>
        Durables for recreation and culture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="5" max="15600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        116
      </sumStat>
      <sumStat type="invd">
        12347
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        4513
      </sumStat>
      <sumStat type="mean">
        309.767
      </sumStat>
      <sumStat type="stdev">
        786.267
      </sumStat>
      <txt>
        Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1584" name="CULEQP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="461" EndPos="465" width="5" RecSegNo="1"/>
      <labl>
        Recreation and cultural equipments expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="12100"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5128
      </sumStat>
      <sumStat type="invd">
        7335
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        10050
      </sumStat>
      <sumStat type="mean">
        196.852
      </sumStat>
      <sumStat type="stdev">
        328.034
      </sumStat>
      <txt>
        Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1585" name="CULSER" files="F11" dcml="2" intrvl="contin">
      <location StartPos="466" EndPos="471" width="6" RecSegNo="1"/>
      <labl>
        Recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="1" max="86000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        8308
      </sumStat>
      <sumStat type="invd">
        4155
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        100250
      </sumStat>
      <sumStat type="mean">
        359.99
      </sumStat>
      <sumStat type="stdev">
        2156.949
      </sumStat>
      <txt>
        cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excluding school books and stationary


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1586" name="SCHCUL" files="F11" dcml="2" intrvl="contin">
      <location StartPos="472" EndPos="476" width="5" RecSegNo="1"/>
      <labl>
        School recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="20000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7822
      </sumStat>
      <sumStat type="invd">
        4641
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        37450
      </sumStat>
      <sumStat type="mean">
        762.791
      </sumStat>
      <sumStat type="stdev">
        993.841
      </sumStat>
      <txt>
        School books and stationery, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1587" name="CULTEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="477" EndPos="482" width="6" RecSegNo="1"/>
      <labl>
        Expenses on recreation and culture
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="96050"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9100
      </sumStat>
      <sumStat type="invd">
        3363
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        104530
      </sumStat>
      <sumStat type="mean">
        1099.202
      </sumStat>
      <sumStat type="stdev">
        2421.417
      </sumStat>
      <txt>
        Expenses on recreation and culture, including audio-visual, photographic and information processing equipment, other major durables for recreation and culture, other recreational items and equipment, gardens and pets, recreational and cultural services, newspapers, books and stationery, package holidays. Ideally, corresponds to Code 09 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CULDUR+CULEQP+CULSER+SCHCUL


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1588" name="PREDUC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="483" EndPos="487" width="5" RecSegNo="1"/>
      <labl>
        Expenses on pre-primary and primary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="2" max="38400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5122
      </sumStat>
      <sumStat type="invd">
        7341
      </sumStat>
      <sumStat type="min">
        13
      </sumStat>
      <sumStat type="max">
        70000
      </sumStat>
      <sumStat type="mean">
        2305.9
      </sumStat>
      <sumStat type="stdev">
        3692.753
      </sumStat>
      <txt>
        Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1589" name="SEDUC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="488" EndPos="493" width="6" RecSegNo="1"/>
      <labl>
        Expenses on lower and upper-secondary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="1" max="100500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4022
      </sumStat>
      <sumStat type="invd">
        8441
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        243000
      </sumStat>
      <sumStat type="mean">
        4201.049
      </sumStat>
      <sumStat type="stdev">
        7517.589
      </sumStat>
      <txt>
        Includes also out-of-school secondary education for adults and young people, private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1590" name="TEDUC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="494" EndPos="499" width="6" RecSegNo="1"/>
      <labl>
        Expenses on tertiary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="160000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1190
      </sumStat>
      <sumStat type="invd">
        11273
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        154000
      </sumStat>
      <sumStat type="mean">
        6080.134
      </sumStat>
      <sumStat type="stdev">
        13084.187
      </sumStat>
      <txt>
        Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1591" name="OEDUC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="500" EndPos="504" width="5" RecSegNo="1"/>
      <labl>
        Expenses on education not defined by level
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="3400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1124
      </sumStat>
      <sumStat type="invd">
        11339
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        581.752
      </sumStat>
      <sumStat type="stdev">
        951.741
      </sumStat>
      <txt>
        Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1592" name="EDUCABR" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="505" EndPos="505" width="1" RecSegNo="1"/>
      <labl>
        Expenses on education Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1593" name="EDUCEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="506" EndPos="511" width="6" RecSegNo="1"/>
      <labl>
        Expenses on education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="1" max="171500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7122
      </sumStat>
      <sumStat type="invd">
        5341
      </sumStat>
      <sumStat type="min">
        13
      </sumStat>
      <sumStat type="max">
        243000
      </sumStat>
      <sumStat type="mean">
        5138.541
      </sumStat>
      <sumStat type="stdev">
        9400.477
      </sumStat>
      <txt>
        <![CDATA[Expenses on education, including pre-primary and primary education, secondary education, post-secondary non-tertiary education, tertiary education, and education not definable by level. Ideally, corresponds to Code 10 of the COICOP classification.
It covers educational services only and does not include expenditures on educational materials, such as books, catering and transport services etc.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PREDUC+SEDUC+TEDUC+OEDUC+EDUCABR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1594" name="CATSER" files="F11" dcml="2" intrvl="contin">
      <location StartPos="512" EndPos="516" width="5" RecSegNo="1"/>
      <labl>
        Catering services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="13" max="93964"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11396
      </sumStat>
      <sumStat type="invd">
        1067
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        64090
      </sumStat>
      <sumStat type="mean">
        2362.691
      </sumStat>
      <sumStat type="stdev">
        2823.44
      </sumStat>
      <txt>
        <![CDATA[Meals, snacks, and drinks provided by restaurants, cafés, etc., including those provided:
- in cultural, sporting or entertainment services: theatres, cinemas, sports stadiums, etc.; on public transport 
- ready to take food products and beverages, the sale of cooked dishes by catering contractors, 
- catering services of works canteens, and canteens in schools, universities etc.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1595" name="SCHRST" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="517" EndPos="517" width="1" RecSegNo="1"/>
      <labl>
        School restaurants expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Meals, snacks, and drinks provided in school restaurants
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many countries, those expenses are lumped with catering services.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1596" name="ACCOM" files="F11" dcml="2" intrvl="contin">
      <location StartPos="518" EndPos="522" width="5" RecSegNo="1"/>
      <labl>
        Accommodation and hotel expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="5" max="50000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        654
      </sumStat>
      <sumStat type="invd">
        11809
      </sumStat>
      <sumStat type="min">
        12
      </sumStat>
      <sumStat type="max">
        40000
      </sumStat>
      <sumStat type="mean">
        1994.858
      </sumStat>
      <sumStat type="stdev">
        2873.034
      </sumStat>
      <txt>
        <![CDATA[Accommodation services of:
- hotels, boarding houses, motels, inns and establishments offering "bed and breakfast";
- holiday villages and holiday centers, camping and caravan sites, youth hostels and mountain chalets;
- boarding schools, universities and other educational establishments;
- public transport (trains, boats, etc.) when priced separately;
- hostels for young workers or immigrants.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1597" name="RESTOEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="523" EndPos="527" width="5" RecSegNo="1"/>
      <labl>
        Expenses on restaurants and hotels
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="13" max="143964"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11448
      </sumStat>
      <sumStat type="invd">
        1015
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        64090
      </sumStat>
      <sumStat type="mean">
        2465.921
      </sumStat>
      <sumStat type="stdev">
        2983.136
      </sumStat>
      <txt>
        Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CATSERV+SCHRST+ACCOM


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1598" name="PCEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="528" EndPos="535" width="8" RecSegNo="1"/>
      <labl>
        Personal care and personal effects expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="46262"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12446
      </sumStat>
      <sumStat type="invd">
        17
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        47110
      </sumStat>
      <sumStat type="mean">
        2230.315
      </sumStat>
      <sumStat type="stdev">
        1736.853
      </sumStat>
      <txt>
        Hairdressing salons and appliances for personal care, Jewellery, clocks and miscellaneous personal articles
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Electric razors, hairdryers, electric toothbrushes etc. are included in this subgroup



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1599" name="SPEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="536" EndPos="540" width="5" RecSegNo="1"/>
      <labl>
        Social protection expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="10" max="15000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1541
      </sumStat>
      <sumStat type="invd">
        10922
      </sumStat>
      <sumStat type="min">
        30
      </sumStat>
      <sumStat type="max">
        22050
      </sumStat>
      <sumStat type="mean">
        1087.188
      </sumStat>
      <sumStat type="stdev">
        1473.849
      </sumStat>
      <txt>
        Covers assistance and support services provided to persons who are elderly, disabled, unemployed, homeless, low-income earners, immigrants, refugees, etc. It also covers assistance and support services provided to families and children.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1600" name="FEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="541" EndPos="548" width="8" RecSegNo="1"/>
      <labl>
        Insurance and financial services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="10560"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        8017
      </sumStat>
      <sumStat type="invd">
        4446
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        52800
      </sumStat>
      <sumStat type="mean">
        665.877
      </sumStat>
      <sumStat type="stdev">
        1326.41
      </sumStat>
      <txt>
        Service charges for insurance such as life insurance and non-life insurance (that is, insurance in connection with the dwelling, health, transport, etc.). Service charges for multi-risk insurance covering several risks should be classified on the basis of the cost of the principal risk if it is not possible to allocate the service charges to the various risks covered. Actual charges for the financial services of banks
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Service charge for insurance is defined as the difference between claims due and premiums earned and premium supplement


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1601" name="FEES" files="F11" dcml="2" intrvl="contin">
      <location StartPos="549" EndPos="554" width="6" RecSegNo="1"/>
      <labl>
        Penalties and other fees expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="1" max="26000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6924
      </sumStat>
      <sumStat type="invd">
        5539
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        110000
      </sumStat>
      <sumStat type="mean">
        814.728
      </sumStat>
      <sumStat type="stdev">
        3715.778
      </sumStat>
      <txt>
        Financial penalties, traffic violation fees etc., fees for issuing passport ID cards, visas, birth certificate, driving license etc. membership fees.. And other non specified fees
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1602" name="PTRANSF" files="F11" dcml="2" intrvl="contin">
      <location StartPos="555" EndPos="563" width="9" RecSegNo="1"/>
      <labl>
        Private transfers given expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="162000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12027
      </sumStat>
      <sumStat type="invd">
        436
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        301750
      </sumStat>
      <sumStat type="mean">
        2825.942
      </sumStat>
      <sumStat type="stdev">
        12158.944
      </sumStat>
      <txt>
        Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1603" name="MISCEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="564" EndPos="572" width="9" RecSegNo="1"/>
      <labl>
        Expenses on miscellaneous goods and services
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="42" max="189085"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12450
      </sumStat>
      <sumStat type="invd">
        13
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        315062
      </sumStat>
      <sumStat type="mean">
        5975.983
      </sumStat>
      <sumStat type="stdev">
        13157.803
      </sumStat>
      <txt>
        Expenses on miscellaneous goods and services, such as personal care, personal effects n.e.c., social protection, insurance, financial services n.e.c., other services n.e.c. Ideally, corresponds to Code 12 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Some surveys may report information on taxes and remittances without clear specification of the nature of the tax expenses… these expenditures are included in this part. 
=PCEXP+SPEXP+FEXP+FEES+PTRANSF


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1604" name="TOTFOOD" files="F11" dcml="2" intrvl="contin">
      <location StartPos="573" EndPos="581" width="9" RecSegNo="1"/>
      <labl>
        Total food expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2719.91086956522" max="225862"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4884.533
      </sumStat>
      <sumStat type="max">
        158977
      </sumStat>
      <sumStat type="mean">
        28867.014
      </sumStat>
      <sumStat type="stdev">
        11865.852
      </sumStat>
      <txt>
        Total food expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case where the own produced food items are also included in code 01 we need to abstract from OWNP
=FOODEXP+CATSER+SCHRST


COUNTRY SPECIFIC NOTES
----------------------------------
Expenditure aggregates are based on the expenditure data already aggregated and provided (no detailed amounts for expenditure items are available).

Expenditure data was annualized based on the periods provided by CAPMAS for each data file indicating expenditure on one of the items.

Imputed expenditure amounts on own-produced products are not available, therefore all amounts provided were assumed to be purchased.

Items aggregated under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V1605" name="TDUR" files="F11" dcml="2" intrvl="contin">
      <location StartPos="582" EndPos="587" width="6" RecSegNo="1"/>
      <labl>
        Total expenses on durables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="3" max="311000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3400
      </sumStat>
      <sumStat type="invd">
        9063
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        550000
      </sumStat>
      <sumStat type="mean">
        2989.753
      </sumStat>
      <sumStat type="stdev">
        19785.14
      </sumStat>
      <txt>
        Total expenses on durables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+MHAPL+MHOPE+TAEQ+TRVEH+TTEQP+CULDUR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1606" name="THOUS" files="F11" dcml="2" intrvl="contin">
      <location StartPos="588" EndPos="596" width="9" RecSegNo="1"/>
      <labl>
        Total expenditures on actual and imputed rentals for housing
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.5" max="300000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        24
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        11153.479
      </sumStat>
      <sumStat type="stdev">
        7804.281
      </sumStat>
      <txt>
        Total expenditures on actual and imputed rentals for housing
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1607" name="TOTEXP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="597" EndPos="606" width="10" RecSegNo="1"/>
      <labl>
        Total expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4004" max="1331074"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        10602.834
      </sumStat>
      <sumStat type="max">
        1002688
      </sumStat>
      <sumStat type="mean">
        76721.871
      </sumStat>
      <sumStat type="stdev">
        40940.791
      </sumStat>
      <txt>
        Individual consumption expenditure of household. Ideally, corresponds to Codes 01 to 12 of the COICOP classification
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In cases where the original survey provides expenditures according to the COICOP classification, this variable is the sum over the expenditure variables above. Otherwise, it is either derived from the "total expenditures" variable in the original survey (if available) or is left blank.
=FOODEXP+ALCOEXP+APPEXP+HOUSEXP+EQUIPEXP+MEDEXP+
TRANEXP+COMMEXP+CULTEXP+EDUCEXP+RESTOEXP+MISCEXP


COUNTRY SPECIFIC NOTES
----------------------------------
Expenditure aggregates are based on the expenditure data already aggregated and provided (no detailed amounts for expenditure items are available).

Expenditure data was annualized based on the periods provided by CAPMAS for each data file indicating expenditure on one of the items.

Imputed expenditure amounts on own-produced products are not available, therefore all amounts provided were assumed to be purchased.

Items aggregated under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V1608" name="TNFOOND" files="F11" dcml="2" intrvl="contin">
      <location StartPos="607" EndPos="615" width="9" RecSegNo="1"/>
      <labl>
        Total expenditures on non-food and non-durables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="768.5" max="844176"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2939
      </sumStat>
      <sumStat type="max">
        847038
      </sumStat>
      <sumStat type="mean">
        38046.163
      </sumStat>
      <sumStat type="stdev">
        28664.754
      </sumStat>
      <txt>
        Total expenditures on non-food and non-durables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Alcoholic and tobacco expenditures are included here 
=TOTEXP-(FOODEXP+TDUR+THOUS)


COUNTRY SPECIFIC NOTES
----------------------------------
Expenditure aggregates are based on the expenditure data already aggregated and provided (no detailed amounts for expenditure items are available).

Expenditure data was annualized based on the periods provided by CAPMAS for each data file indicating expenditure on one of the items.

Imputed expenditure amounts on own-produced products are not available, therefore all amounts provided were assumed to be purchased.

Items aggregated under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V1609" name="LUMP" files="F11" dcml="2" intrvl="contin">
      <location StartPos="616" EndPos="621" width="6" RecSegNo="1"/>
      <labl>
        Lumpy expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="20" max="260000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        10503
      </sumStat>
      <sumStat type="invd">
        1960
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        301500
      </sumStat>
      <sumStat type="mean">
        2541.013
      </sumStat>
      <sumStat type="stdev">
        12527.524
      </sumStat>
      <txt>
        Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1610" name="INTER" files="F11" dcml="2" intrvl="discrete">
      <location StartPos="622" EndPos="622" width="1" RecSegNo="1"/>
      <labl>
        Interests paid on consumption and loans
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Interest paid on loans for the purchase of consumption or durable goods
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These expenses should not be part of consumption aggregates 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1611" name="TAX" files="F11" dcml="2" intrvl="contin">
      <location StartPos="623" EndPos="627" width="5" RecSegNo="1"/>
      <labl>
        Expenditures on taxes and levies
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="6" max="9000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        72
      </sumStat>
      <sumStat type="invd">
        12391
      </sumStat>
      <sumStat type="min">
        35
      </sumStat>
      <sumStat type="max">
        40000
      </sumStat>
      <sumStat type="mean">
        2271.806
      </sumStat>
      <sumStat type="stdev">
        7462.315
      </sumStat>
      <txt>
        Taxes on consumption and durable goods, property taxes etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Taxes should be included in consumption aggregates only if they are closely related to services provided such as households that are paying more tax are receiving more services. In that latter case (if there is enough detail in the survey about taxes) this category should be disaggregated according to the nature of taxes paid.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1612" name="NWAG" files="F11" dcml="2" intrvl="contin">
      <location StartPos="628" EndPos="634" width="7" RecSegNo="1"/>
      <labl>
        Net wages and salaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="200" max="1200000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        8664
      </sumStat>
      <sumStat type="invd">
        3799
      </sumStat>
      <sumStat type="min">
        1550
      </sumStat>
      <sumStat type="max">
        1320000
      </sumStat>
      <sumStat type="mean">
        52428.999
      </sumStat>
      <sumStat type="stdev">
        37223.129
      </sumStat>
      <txt>
        Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), net of employer and employee social insurance contributions and taxes.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
includes: Net Income from salaries and wages]]>
      </notes>
    </var>
    <var ID="V1613" name="SINC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="635" EndPos="644" width="10" RecSegNo="1"/>
      <labl>
        Self-employment income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="50" max="7000000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4415
      </sumStat>
      <sumStat type="invd">
        8048
      </sumStat>
      <sumStat type="min">
        500
      </sumStat>
      <sumStat type="max">
        1150000
      </sumStat>
      <sumStat type="mean">
        48019.83
      </sumStat>
      <sumStat type="stdev">
        42903.833
      </sumStat>
      <txt>
        Profit/loss from unincorporated enterprises. The income is recorded gross of social insurance contributions (but net of expenses).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Self-employment income is often collected with a different reference period than other more regular incomes; for example, it could refer to the last financial year for which business accounts for the purposes of taxation were prepared.
Includes imputed income from owner occupied dwellings and own produced food for home consumption 
If farm and non-farm self-employment income are not supplied separately, users can try to split them at the individual level 


COUNTRY SPECIFIC NOTES
----------------------------------
Includes :  Income from agricultural projects and Income from non-agricultural projects]]>
      </notes>
    </var>
    <var ID="V1614" name="RENTAL" files="F11" dcml="2" intrvl="contin">
      <location StartPos="645" EndPos="650" width="6" RecSegNo="1"/>
      <labl>
        Income less expenses from rentals
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="295000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        10771
      </sumStat>
      <sumStat type="invd">
        1692
      </sumStat>
      <sumStat type="min">
        600
      </sumStat>
      <sumStat type="max">
        145000
      </sumStat>
      <sumStat type="mean">
        8933.161
      </sumStat>
      <sumStat type="stdev">
        8188.69
      </sumStat>
      <txt>
        Rentals from dwellings, business buildings, vehicles, equipment, etc excludes rent from land
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes : Imputed rent value for dwelling]]>
      </notes>
    </var>
    <var ID="V1615" name="PROINC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="651" EndPos="659" width="9" RecSegNo="1"/>
      <labl>
        Property income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="30" max="270000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        777
      </sumStat>
      <sumStat type="invd">
        11686
      </sumStat>
      <sumStat type="min">
        3000
      </sumStat>
      <sumStat type="max">
        600000
      </sumStat>
      <sumStat type="mean">
        35640.936
      </sumStat>
      <sumStat type="stdev">
        45606.356
      </sumStat>
      <txt>
        <![CDATA[Interest received less interest paid 
Dividends
Rent from land]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes : Income from financial assets and Income from non-financial assets]]>
      </notes>
    </var>
    <var ID="V1616" name="TRANSF" files="F11" dcml="2" intrvl="contin">
      <location StartPos="660" EndPos="668" width="9" RecSegNo="1"/>
      <labl>
        Current transfers received
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="13" max="400917.5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12121
      </sumStat>
      <sumStat type="invd">
        342
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        313616
      </sumStat>
      <sumStat type="mean">
        18584.902
      </sumStat>
      <sumStat type="stdev">
        23279.109
      </sumStat>
      <txt>
        <![CDATA[Social insurance, assistance, inter-household transfers, regular support received such as charities, remittances received, gifts received
Disability pensions, allowances, benefits etc. 
Child/family benefits]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes :  Income from cash transfers and Income from in-kind transfers]]>
      </notes>
    </var>
    <var ID="V1617" name="TOTDINC" files="F11" dcml="2" intrvl="contin">
      <location StartPos="669" EndPos="678" width="10" RecSegNo="1"/>
      <labl>
        Total disposable income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2745" max="7063635"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        6792
      </sumStat>
      <sumStat type="max">
        1409000
      </sumStat>
      <sumStat type="mean">
        81475.735
      </sumStat>
      <sumStat type="stdev">
        52848.596
      </sumStat>
      <txt>
        Total disposable income
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=GWAG+SINC+RENTAL+PROINC+TRANSF


COUNTRY SPECIFIC NOTES
----------------------------------
The total disposable income is computed using the net wages and salaries instead of the gross wages and salaries since the net amount is the only one available]]>
      </notes>
    </var>
    <var ID="V1618" name="AGESP_1" files="F11" dcml="0" intrvl="contin">
      <location StartPos="679" EndPos="680" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="84"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        41.07
      </sumStat>
      <sumStat type="stdev">
        12.559
      </sumStat>
      <txt>
        Age in years of the first spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1619" name="SEXSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="681" EndPos="681" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        Gender of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          9499
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1620" name="LITSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="682" EndPos="682" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        This variable indicates whether the first spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read AND write
        </labl>
        <catStat type="freq">
          7199
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1621" name="EDUSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="683" EndPos="684" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          3220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1622" name="EDUSP_1_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="685" EndPos="687" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          2305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          3015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1623" name="MASSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="688" EndPos="689" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          6906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1624" name="MASSP_1_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="690" EndPos="692" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        9504
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          1783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          6906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2959
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1625" name="EMSSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="693" EndPos="694" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the first spouse, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1626" name="OCCSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="695" EndPos="697" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        International Standard Occupational classification of the main (current or last held) job of the first spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1627" name="OCCSP_1_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="698" EndPos="701" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the first spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1628" name="INDSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="702" EndPos="704" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the first spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1629" name="INDSP_1_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="705" EndPos="708" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the first spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1630" name="TYPEWKSP_1" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="709" EndPos="710" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1631" name="TYPEWKSP_1_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="711" EndPos="713" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        1985
      </sumStat>
      <sumStat type="invd">
        10478
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10478
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1632" name="AGESP_2" files="F11" dcml="0" intrvl="contin">
      <location StartPos="714" EndPos="715" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="19" max="70"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <sumStat type="min">
        21
      </sumStat>
      <sumStat type="max">
        79
      </sumStat>
      <sumStat type="mean">
        41.722
      </sumStat>
      <sumStat type="stdev">
        12.783
      </sumStat>
      <txt>
        Age in years of the second spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1633" name="SEXSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="716" EndPos="716" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        Gender of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1634" name="LITSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="717" EndPos="717" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        This variable indicates whether the second spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read AND write
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1635" name="EDUSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="718" EndPos="719" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1636" name="EDUSP_2_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="720" EndPos="722" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1637" name="MASSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="723" EndPos="724" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1638" name="MASSP_2_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="725" EndPos="727" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat type="invd">
        12427
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12427
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1639" name="EMSSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="728" EndPos="729" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the second spouse, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1640" name="OCCSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="730" EndPos="732" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        International Standard Occupational classification of the main (current or last held) job of the second spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1641" name="OCCSP_2_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="733" EndPos="736" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the second spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1642" name="INDSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="737" EndPos="739" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the second spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1643" name="INDSP_2_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="740" EndPos="743" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the second spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1644" name="TYPEWKSP_2" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="744" EndPos="745" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1645" name="TYPEWKSP_2_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="746" EndPos="748" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        12455
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12455
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1646" name="AGESP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="749" EndPos="750" width="2" RecSegNo="1"/>
      <labl>
        Age of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="26" max="26"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <sumStat type="min">
        39
      </sumStat>
      <sumStat type="max">
        41
      </sumStat>
      <sumStat type="mean">
        40
      </sumStat>
      <sumStat type="stdev">
        1.414
      </sumStat>
      <txt>
        Age in years of the third spouse
      </txt>
      <catgry>
        <catValu>
          39
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1647" name="SEXSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="751" EndPos="751" width="1" RecSegNo="1"/>
      <labl>
        Gender of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        Gender of the third spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1648" name="LITSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="752" EndPos="752" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        This variable indicates whether the third spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read AND write
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1649" name="EDUSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="753" EndPos="754" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1650" name="EDUSP_3_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="755" EndPos="757" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1651" name="MASSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="758" EndPos="759" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1652" name="MASSP_3_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="760" EndPos="762" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        12461
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12461
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1653" name="EMSSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="763" EndPos="764" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the second spouse, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1654" name="OCCSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="765" EndPos="767" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        International Standard Occupational classification of the main (current or last held) job of the third spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1655" name="OCCSP_3_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="768" EndPos="771" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the third spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the third spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1656" name="INDSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="772" EndPos="774" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the third spouse
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1657" name="INDSP_3_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="775" EndPos="778" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the third spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the third spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1658" name="TYPEWKSP_3" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="779" EndPos="780" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1659" name="TYPEWKSP_3_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="781" EndPos="783" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 6+ years
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12463
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1660" name="AGEHD" files="F11" dcml="0" intrvl="contin">
      <location StartPos="784" EndPos="786" width="3" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        17
      </sumStat>
      <sumStat type="max">
        100
      </sumStat>
      <sumStat type="mean">
        49.063
      </sumStat>
      <sumStat type="stdev">
        14.203
      </sumStat>
      <txt>
        Age of the head in years
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1661" name="SEXHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="787" EndPos="787" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          10003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          2460
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1662" name="MARTHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="788" EndPos="789" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 18+ years
      </universe>
      <sumStat type="vald">
        12461
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          9946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Should not be imputed, it can be generated only for those to whom the question was asked (in other words, the youngest age at which information is collected may differ depending on the survey).
Married refers to only formal marriages (including legally married). Polygamous unions includes males with multiple spouses. 
Number of spouses in household can be applied to compute polygamy.


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.

The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1663" name="MARTHD_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="790" EndPos="792" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 18+ years
      </universe>
      <sumStat type="vald">
        12461
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <txt>
        Legal administrative status concerning marriage
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          9944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.


The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1664" name="LITHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="793" EndPos="793" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All heads aged 10+ years
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the head is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read AND write
        </labl>
        <catStat type="freq">
          9791
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1665" name="EDUHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="794" EndPos="795" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 10+ years
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          4149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1666" name="EDUHD_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="796" EndPos="798" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 10+ years
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          2672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          1103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          3908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1667" name="MASHD_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="799" EndPos="801" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 6+ years
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          8546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          1556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1668" name="MASHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="802" EndPos="803" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 6+ years
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          8825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          1143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          2306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1669" name="EMSHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="804" EndPos="805" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the head, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          6216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1670" name="OCCHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="806" EndPos="808" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job  of the head]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1671" name="OCCHD_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="809" EndPos="812" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the head, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          1819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          1542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          1205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1672" name="INDHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="813" EndPos="815" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        <![CDATA[Industry classification of the main (current or last held) job  of the head]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          1544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1673" name="INDHD_unrecoded" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="816" EndPos="819" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the head, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          1379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1674" name="TYPEWKHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="820" EndPos="821" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          6727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1675" name="TYPEWKHD_D" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="822" EndPos="824" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 6+ years
      </universe>
      <sumStat type="vald">
        8924
      </sumStat>
      <sumStat type="invd">
        3539
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          3381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          3020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3539
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1676" name="PARTHD" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="825" EndPos="825" width="1" RecSegNo="1"/>
      <labl>
        Partnership and parenthood status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12463
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ERF recode that allows users to identify heads as having a partner (either married or unmarried) versus not having a partner, as well as parents as opposed to non-parents, using a single variable
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head with partner, with no children
        </labl>
        <catStat type="freq">
          1195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Head with partner, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          7312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Head with partner, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          1473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single Head, with no children
        </labl>
        <catStat type="freq">
          1158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single Head, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Single Head, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          881
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Partnership status for head may be restricted to civic status, parenthood status assumes that the children of the head are also children of the spouse.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.
Single head is defined as never married, divorced, separated or widowed.
Head with partner is defined as married head.]]>
      </notes>
    </var>
    <var ID="V1677" name="COUNTRY" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          50458
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50155.653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1678" name="YEAR" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey Year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2015" max="2015"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2021
        </catValu>
        <catStat type="freq">
          50458
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50155.653
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1679" name="CASESER" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="12" width="5" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2" max="23976"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Sequential anonymous household identifier usually provided in the dataset
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and person file and is necessary when merging the two files. This identifier is unique only within each country/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.
When merging household and individual level files from the same dataset, use this variable to link each individual to the right household.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1680" name="HWEIGHT" wgt="wgt" files="F13" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="16" width="4" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.0874619074656012" max="5.97524988786293"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.13
      </sumStat>
      <sumStat type="max">
        3.231
      </sumStat>
      <sumStat type="mean">
        0.994
      </sumStat>
      <sumStat type="stdev">
        0.477
      </sumStat>
      <txt>
        Data provider household weight
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1681" name="REG" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="17" EndPos="18" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="41"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cairo
        </labl>
        <catStat type="freq">
          3122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5030.112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Alexandria
        </labl>
        <catStat type="freq">
          1932
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2681.929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Port Said
        </labl>
        <catStat type="freq">
          1821
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          385.599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Suez
        </labl>
        <catStat type="freq">
          1880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          386.29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Helwan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 of October
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Damietta
        </labl>
        <catStat type="freq">
          1788
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          740.419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dakahlia
        </labl>
        <catStat type="freq">
          2275
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3181.807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sharkia
        </labl>
        <catStat type="freq">
          2628
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3678.714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Qualioubia
        </labl>
        <catStat type="freq">
          2325
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3122.146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Kafr Elsheikh
        </labl>
        <catStat type="freq">
          1846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1662.998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Gharbia
        </labl>
        <catStat type="freq">
          1911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2612.745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Monofia
        </labl>
        <catStat type="freq">
          2061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2244.194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Beheira
        </labl>
        <catStat type="freq">
          2404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3365.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Ismailya
        </labl>
        <catStat type="freq">
          1898
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          676.479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Giza
        </labl>
        <catStat type="freq">
          3014
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4813.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Bani Swef
        </labl>
        <catStat type="freq">
          2047
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1680.063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Fayoum
        </labl>
        <catStat type="freq">
          2174
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1982.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Menia
        </labl>
        <catStat type="freq">
          2598
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3212.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Assiut
        </labl>
        <catStat type="freq">
          2327
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2428.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Sohag
        </labl>
        <catStat type="freq">
          2278
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2597.219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Qena
        </labl>
        <catStat type="freq">
          2020
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1648.481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Aswan
        </labl>
        <catStat type="freq">
          1909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          720.562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Luxor
        </labl>
        <catStat type="freq">
          1978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          637.466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <catStat type="freq">
          605
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <catStat type="freq">
          469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          125.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <catStat type="freq">
          743
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          274.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60.109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Frontier Governorates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1682" name="AREA" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="41"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban Governorates
        </labl>
        <catStat type="freq">
          8755
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8483.929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban Lower Egypt
        </labl>
        <catStat type="freq">
          5610
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5827.457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rural Lower Egypt
        </labl>
        <catStat type="freq">
          13526
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15457.446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Urban Upper Egypt
        </labl>
        <catStat type="freq">
          6293
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6322.582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Rural Upper Egypt
        </labl>
        <catStat type="freq">
          14052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13398.381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1567
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          655
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Frontier Governorates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1683" name="RURURB" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          28233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29062.498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          22225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21093.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2"


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1684" name="PNUM" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Person identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="23"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Person identification number (usually the person line number in the household)
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          12463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12461.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11466
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11452.076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          9765
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9709.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          7835
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7793.222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5141
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5064.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2386
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2322.662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          865.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          320
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          305.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111.767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35.791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.199
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This identifier is unique within each household. In order to uniquely identify an individual, both CASENUM and PNUM are required.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1685" name="PAGE" wgt-var="V1680" files="F13" dcml="0" intrvl="contin">
      <location StartPos="24" EndPos="26" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="130"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        104
      </sumStat>
      <sumStat type="mean">
        27.953
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        27.939
      </sumStat>
      <sumStat type="stdev">
        20.33
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        20.284
      </sumStat>
      <txt>
        Age in years.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).


COUNTRY SPECIFIC NOTES
----------------------------------
Age=0 indicates those aged less than one year old]]>
      </notes>
    </var>
    <var ID="V1686" name="PSEX" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Gender
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicator for gender of individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          24994
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24760.505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          25464
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25395.147
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1687" name="PMART" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 18+ years
      </universe>
      <sumStat type="vald">
        30479
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        30322.701
      </sumStat>
      <sumStat type="invd">
        19979
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        19832.951
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, a person can be still legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          7135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7034.234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          20102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20024.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          809
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2409.547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          19979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19832.951
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.

The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1688" name="PMART_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="32" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 18+ years
      </universe>
      <sumStat type="vald">
        30479
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        30322.701
      </sumStat>
      <sumStat type="invd">
        19979
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        19832.951
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, a person can be still legally recognized as being in a relationship)
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          7135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7034.234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          20056
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19984.703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122.182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          682
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          696.262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2409.547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          19979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19832.951
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.


The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1689" name="PREL" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Relationship to the head of household, where the value '1' always stands for the head of the household him/herself.
The variable "Other relatives " includes nephew and niece, grandparents, sons and daughters in law,  etc.....]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          12463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12461.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          9542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9490.266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          26234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26015.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/Mother (parents)
        </labl>
        <catStat type="freq">
          481
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          504.655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          260
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          254.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          929
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          890.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          490
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          487.334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51.681
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1690" name="PREL_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="36" width="3" RecSegNo="1"/>
      <labl>
        Relationship to head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="860"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Relationship to the head of household, where the value '100' always stands for the head of the household him/herself. Detailed coding indicates different relations for other relatives and other non-relatives.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          12463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12461.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          9542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9490.266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/Daughter
        </labl>
        <catStat type="freq">
          26234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26015.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Adopted children
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          481
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          504.655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          260
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          254.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          929
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          890.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          265
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          267.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Father/mother in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Brother/sister in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Nephew/niece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Doorkeeper
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Driver
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Shepherd
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Farmer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48.759
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1691" name="PLIT" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Literacy status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        39137
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38955.932
      </sumStat>
      <sumStat type="invd">
        11321
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11199.72
      </sumStat>
      <txt>
        This variable indicates whether the person is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          6026
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6193.934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read AND write
        </labl>
        <catStat type="freq">
          33111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32761.998
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          11321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11199.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1692" name="EVERATTD" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="39" width="2" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        46543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        46296.539
      </sumStat>
      <sumStat type="invd">
        3915
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3859.114
      </sumStat>
      <txt>
        This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          8075
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8187.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          38468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38109.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3915
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3859.114
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All persons of pre-primary school age or above. Primary school age will vary by country. Value must be missing for others.
This is country-specific and depends on how school attendance is defined. Pre-school is included here. Also, in some countries, ever attended is yes only if the person attended for some minimum amount of time. The differences need to be carefully documented.
One is not required to have completed any level of education to answer this question positively.

COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1693" name="PEDUC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Educational level [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        39137
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38955.932
      </sumStat>
      <sumStat type="invd">
        11321
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11199.72
      </sumStat>
      <txt>
        Highest level of education attained.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11550.622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          10121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10059.086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          11538
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11204.939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1130.714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          4754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4814.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196.386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          11321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11199.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1694" name="PEDUC_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="44" width="3" RecSegNo="1"/>
      <labl>
        Educational level [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        39137
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38955.932
      </sumStat>
      <sumStat type="invd">
        11321
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11199.72
      </sumStat>
      <txt>
        Highest level of education attained
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          6026
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6193.934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          5004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5026.65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          362
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          320.881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          5678
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5636.127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          4419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4398.789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          2246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2328.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          9292
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8876.491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1130.714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          4754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4814.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196.386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          11321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11199.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1695" name="PYEDUC" wgt-var="V1680" files="F13" dcml="0" intrvl="contin">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="20"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        39040
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38862.956
      </sumStat>
      <sumStat type="invd">
        11418
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11292.697
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18
      </sumStat>
      <sumStat type="mean">
        8.841
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        8.806
      </sumStat>
      <sumStat type="stdev">
        5.21
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5.25
      </sumStat>
      <txt>
        This is a continuous variable of the number of years of formal schooling completed.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off at which information is collected will vary from country to country.
If no grade level information exists, this variable will be missing.
The variable does not take into account the actual number of years required to reach this level, in other words, first grade repeated three times still only counts as 1 year of schooling.
If a person has completed a BA/BSc, MA/MSc or PhD, but no number of years is known, use country specific information for the number of years. 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF using the highest level of education attained and the highest completed in addition to the enrollment status
2 years of education were reported for those who can read & write.]]>
      </notes>
    </var>
    <var ID="V1696" name="PATSCH" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        School attendance status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 4+ years
      </universe>
      <sumStat type="vald">
        46543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        46296.539
      </sumStat>
      <sumStat type="invd">
        3915
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3859.114
      </sumStat>
      <txt>
        Indicates whether the individual is currently attending school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          30412
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30295.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          16131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16001.331
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3915
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3859.114
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If person on short school holiday when interviewed, he or she is considered to be at school. However, if the person is on the holiday between two years of schooling, one cannot assume that he/she will continue schooling into the next year.
Variable can be created using either attendance or enrolment question (since typically just one of them is available in each survey). In the case that both questions were available, attendance question MUST be used.
This variable must ALWAYS have a note specifying which question (attendance/ enrolment) had been used to create it.
Does not include pre-school or kindergarten programs.
Value must be missing for others.
Does not require one to have completed any level.
Adults currently attending literacy programs are considered as attending school (PATSCH = 1)
In case the person is not currently attending school but there is no information on whether he attended school and left or never attended school use information from PEDUC to impute the right value.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1697" name="PENROL" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Level of schooling presently attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals
      </universe>
      <sumStat type="vald">
        15958
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15833.406
      </sumStat>
      <sumStat type="invd">
        34500
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        34322.246
      </sumStat>
      <txt>
        PENROL ideally provides information on the level of education in which the individual is enrolled.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          7501
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7412.565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3152.881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          1281
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1351.193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          1298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1230.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81.439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1701
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1784.507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          850
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          774.841
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34500
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34322.246
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
For persons presently attending school (PATSCH=1), value missing for others.
For secondary school, if not specified in the questionnaire, it is assumed that it is an academic secondary school.
For the surveys where is no distinction between university and post university they are considered as university
As with PEDUC, we recommend that PENROL be restructured as a categorical variable appropriate to the analysis.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1698" name="ATYPSCH" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Type of school attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals
      </universe>
      <sumStat type="vald">
        16131
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        16001.331
      </sumStat>
      <sumStat type="invd">
        34327
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        34154.322
      </sumStat>
      <txt>
        <![CDATA[Only for persons currently at school (PATSCH=1).
Value must be missing for others.
Public includes fully government owned as well as semi-public organization.
Private are facilities run by non-governmental organizations (e.g. NGOs, religious institutions) or by private entities.
Other refers to schools that cannot be categorized in the above classification such as community schools run by local parent groups.
Does not include pre-school or kindergarten.
For adults attending literacy programs use "Other"]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public
        </labl>
        <catStat type="freq">
          14058
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13817.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          972
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1091.15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Koranic
        </labl>
        <catStat type="freq">
          1071
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1059.573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Adult literacy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32.819
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34327
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34154.322
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Only for persons currently at school (PATSCH=1).
Value must be missing for others.
Public includes fully government owned as well as semi-public organization.
Private are facilities run by non-governmental organizations (e.g. NGOs, religious institutions) or by private entities.
Other refers to schools that cannot be categorized in the above classification such as community schools run by local parent groups.
Does not include pre-school or kindergarten.
For adults attending literacy programs use "Other"]]>
      </notes>
    </var>
    <var ID="V1699" name="PSDISABL" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Disability status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the individual have any type of disability or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          46378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          4080
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4138.652
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------




COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1700" name="PTDISABL" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Type of disability
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="10"/>
      </valrng>
      <universe clusion="I">
        Individuals reported disabled
      </universe>
      <sumStat type="vald">
        4080
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4138.652
      </sumStat>
      <sumStat type="invd">
        46378
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        46017
      </sumStat>
      <txt>
        This variable specifies, if available, the type of disability
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Blindness
        </labl>
        <catStat type="freq">
          1109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1122.974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Deafness
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Muteness
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Speech disability
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Walking disability
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Physical (movement) disability
        </labl>
        <catStat type="freq">
          1707
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1755.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Limp disability
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Mental retardation
        </labl>
        <catStat type="freq">
          470
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          476.29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Multiple disability
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          493
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          480.629
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          46378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46017
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------




COUNTRY SPECIFIC NOTES
----------------------------------
The raw data does not differentiate between impaired hearing and speech disability, both were coded 2 deafness.]]>
      </notes>
    </var>
    <var ID="V1701" name="PCHRONICDIS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Chronic Disease
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the individual have any chronic disease or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          39335
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38948.967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          11123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11206.685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1702" name="PHLTHINSR" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Health Insurance
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the individual have Health Insurance or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          22266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23025.322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          28192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27130.331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1703" name="PTHLTHINSR_1" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="58" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Governmental
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        28192
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        27130.331
      </sumStat>
      <sumStat type="invd">
        22266
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23025.322
      </sumStat>
      <txt>
        surance- Governmental
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1164
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1308.432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          27028
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25821.899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23025.322
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1704" name="PTHLTHINSR_2" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Private
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        28192
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        27130.331
      </sumStat>
      <sumStat type="invd">
        22266
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23025.322
      </sumStat>
      <txt>
        Kind of Health Insurance- Private
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          27239
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26074.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          953
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1055.402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23025.322
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1705" name="PTHLTHINSR_3" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Other
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        28192
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        27130.331
      </sumStat>
      <sumStat type="invd">
        22266
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23025.322
      </sumStat>
      <txt>
        Kind of Health Insurance- Other
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          27981
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26877.301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          253.03
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23025.322
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1706" name="PSOCSEC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Social Security
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the individual have social security or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          41161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41169.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          9297
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8985.921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1707" name="PCMAS_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        Main activity status in the current period [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        44111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        43858.933
      </sumStat>
      <sumStat type="invd">
        6347
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6296.72
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          499.654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          13451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13443.674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          471
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          400.867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          1851
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1755.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          7511
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7478.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          14817
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14751.233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          663
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          665.939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          731
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710.661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          490
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          480.538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          2204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2175.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211.186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          626.5
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6296.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1708" name="PCLFS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        Labor force status in the current period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        44111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        43858.933
      </sumStat>
      <sumStat type="invd">
        6347
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6296.72
      </sumStat>
      <txt>
        Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Active
        </labl>
        <catStat type="freq">
          15501
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15482.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          27990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27749.91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          626.5
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6296.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Variable is constructed for all persons administered this module in each questionnaire. For this reason the lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
All persons are considered active in the labour force if they presently have a job (formal or informal, i.e. are employed) or do not have a job but are actively seeking work (i.e. unemployed).

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Students reported in the relation to labor force  variable (Q501) are "working" students as identified in the original variable, hence they were recoded active in the relationship to labor force and classified by work status, occupation, economic activity, and sector of employment as well.]]>
      </notes>
    </var>
    <var ID="V1709" name="PCMAS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Main activity status in the current period [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        44111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        43858.933
      </sumStat>
      <sumStat type="invd">
        6347
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6296.72
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          13945
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13956.025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          860.559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          9362
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9233.998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          15480
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15417.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          3425
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3366.511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          386
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          626.5
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6296.72
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1710" name="PCEMS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          10583
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10490.718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1231.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          2170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2179.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          653
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          720.077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.692
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1711" name="POCC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="76" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        International Standard Occupational classification of the main (current or last held) job
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          1062
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1078.786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1683
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1736.043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1043
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1020.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          796
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          749.558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          3144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3226.138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          2537
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2514.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1789.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          662.887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244.17
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1712" name="POCC_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="80" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          1062
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1078.786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1683
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1736.043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1043
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1020.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          796
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          749.558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          3144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3226.138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          2537
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2514.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          1742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1789.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          662.887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244.17
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1713" name="PIND" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="83" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          2566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2558.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1688
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1686.955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          194.342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1798
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1742.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          2527
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2642.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1368.523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114.251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          1076
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1049.625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          3393
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3428.703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244.17
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1714" name="PIND_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="87" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          2566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2558.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1688
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1686.955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86.674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          107.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1798
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1742.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          2527
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2642.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          1273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1264.657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          539
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          529.97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          95
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78.858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35.393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          315
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358.247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          162
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160.153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          1076
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1049.625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1163.017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          565
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          572.578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          85
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          341
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          353.687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          164
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          202.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244.17
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1715" name="PTYPEWK" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          2753
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2564.427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          373.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          11357
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11635.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.692
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1716" name="PTYPEWK_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="92" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed active individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        15030
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15081.656
      </sumStat>
      <sumStat type="invd">
        35428
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35073.997
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          2753
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2564.427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          373.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          5863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6197.022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          438.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          4973
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5000.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27.114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.692
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35073.997
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1717" name="PFPRES" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Father present at home
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        38681
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38322.651
      </sumStat>
      <sumStat type="invd">
        11777
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11833.002
      </sumStat>
      <txt>
        Indicates whether the father is present at home, not a household member or dead.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          23245
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22974.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father is not a household member
        </labl>
        <catStat type="freq">
          15436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15348.095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Father is dead
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          11777
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11833.002
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case there is no information available about whether the father is dead or not we just use code 2 (not a HH member). In case, the relationship to head variable indicates that the brother of the head is living in the HH with nephews/nieces of the head we assume that these last are the sons/daughters of the head's brother. 


COUNTRY SPECIFIC NOTES
----------------------------------
All parents' related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

Father's and Mother's variables were generated for the head of the household's children, the head him/herself whenever his/her parent(s) are  household members, for head’s siblings if parents’ data are available, and for head’s grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order. 

In case the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V1718" name="PFATHID" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        ID of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="17"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the father
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          22788
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22540.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          150
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          130.677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42.402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.419
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27150.458
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This information is available for the son/daughter of the head, partially available for the head and brother/sister of the head and is missing for the other individuals (exception for Iraq). In case we have the brother of the head living in the HH with the nephew/niece of the head we assume that these last are the son (daughter) of the head's brother. 
Since very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PFPRES = 1.


COUNTRY SPECIFIC NOTES
----------------------------------
All parents' related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

Father's and Mother's variables were generated for the head of the household's children, the head him/herself whenever his/her parent(s) are  household members, for head's siblings if parents' data are available, and for head's grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order. 

In case the head has multiple spouses, the identification of the children's mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V1719" name="PFAGE" wgt-var="V1680" files="F13" dcml="0" intrvl="contin">
      <location StartPos="96" EndPos="98" width="3" RecSegNo="1"/>
      <labl>
        Age of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="96"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        100
      </sumStat>
      <sumStat type="mean">
        45.374
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        45.191
      </sumStat>
      <sumStat type="stdev">
        10.602
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        10.532
      </sumStat>
      <txt>
        Indicates the Age of the father
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1720" name="PFMART" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <txt>
        Indicates the Marital status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          22797
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22523.869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          150.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          245.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27150.458
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.

The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1721" name="PFMART_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <txt>
        Indicates the Marital status of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          22797
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22523.869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          150.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80.922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          245.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27150.458
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.


The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1722" name="PFEDUC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the Educational level of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          25958
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26030.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          5178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5195.715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          12725
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12204.602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1273.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5201.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          230
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1723" name="PFEDUC_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="108" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the Educational level of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          20597
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20697.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          4584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4637.038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          771
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          691.323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          3016
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3007.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2155.722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          747
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          776.405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          11978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11428.198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1273.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5201.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          230
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1724" name="PFMAS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        Main activity of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20956.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          185.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1818
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1724.415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.537
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27150.458
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1725" name="PFMAS_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="113" width="3" RecSegNo="1"/>
      <labl>
        Main activity of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        23276
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23005.195
      </sumStat>
      <sumStat type="invd">
        27182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27150.458
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          589
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          614.409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          20556
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20341.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178.301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          688.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          284.731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          798
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          751.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.537
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27150.458
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1726" name="PFCEMS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="115" width="2" RecSegNo="1"/>
      <labl>
        Employment status of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21325
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21159.398
      </sumStat>
      <sumStat type="invd">
        29133
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28996.255
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the father, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          15215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15042.266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          2463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2491.426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          3467
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3424.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178.301
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28996.255
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1727" name="PFOCC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="118" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21367
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21208.012
      </sumStat>
      <sumStat type="invd">
        29091
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28947.641
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the father
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          2078
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2046.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1870
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1967.63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1381.577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          1122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1026.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          4161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4207.166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2582.617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          3828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3863.603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          3070
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3163.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          900.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.672
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28947.641
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1728" name="PFOCC_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="122" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the father [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21367
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21208.012
      </sumStat>
      <sumStat type="invd">
        29091
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28947.641
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the father, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          2078
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2046.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1870
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1967.63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1381.577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          1122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1026.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          4161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4207.166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2582.617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          3828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3863.603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          3070
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3163.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          900.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.672
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28947.641
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1729" name="PFIND" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21367
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21208.012
      </sumStat>
      <sumStat type="invd">
        29091
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28947.641
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the father
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          3558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3435.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          2554
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2583.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395.595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2878.449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          3082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3190.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          2514
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2445.317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          174
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          164.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          1863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1762.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          4132
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4184.531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.672
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28947.641
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1730" name="PFIND_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="129" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the father [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21367
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21208.012
      </sumStat>
      <sumStat type="invd">
        29091
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28947.641
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the father, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          3558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3435.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          2554
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2583.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          228
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218.957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2878.449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          3082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3190.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          2420
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2356.629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          651
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          611.147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88.687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111.975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52.475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          489
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          557.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          250.502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          1863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1762.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1340
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1284.2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          377
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379.767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121.769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          683.927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          295.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.672
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28947.641
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1731" name="PFTYPEWK" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21325
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21159.398
      </sumStat>
      <sumStat type="invd">
        29133
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28996.255
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          4283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3982.741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          907
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          728.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          15933
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16224.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178.301
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28996.255
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1732" name="PFTYPEWK_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        21325
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        21159.398
      </sumStat>
      <sumStat type="invd">
        29133
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28996.255
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          4283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3982.741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          907
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          728.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          7709
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8101.557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          781
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          675.423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          7443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7447.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178.301
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28996.255
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1733" name="PMPRES" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="135" width="1" RecSegNo="1"/>
      <labl>
        Mother present at home
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        39886
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        39621.718
      </sumStat>
      <sumStat type="invd">
        10572
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10533.935
      </sumStat>
      <txt>
        Indicates whether the mother is present at home, not a household member or dead.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          26856
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26629.391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother is not a household member
        </labl>
        <catStat type="freq">
          13030
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12992.327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mother is dead
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10572
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10533.935
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).


COUNTRY SPECIFIC NOTES
----------------------------------
All parents' related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

Father's and Mother's variables were generated for the head of the household's children, the head him/herself whenever his/her parent(s) are  household members, for head’s siblings if parents’ data are available, and for head’s grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order. 

In case the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V1734" name="PMOTHID" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="137" width="2" RecSegNo="1"/>
      <labl>
        ID of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="18"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the mother
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3446
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3475.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          22479
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22227.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          254
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          248.893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169.434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147.175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          151.933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55.507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.419
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23556.901
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).
Since very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PMPRES = 1.

COUNTRY SPECIFIC NOTES
----------------------------------
All parents' related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

Father's and Mother's variables were generated for the head of the household's children, the head him/herself whenever his/her parent(s) are  household members, for head's siblings if parents' data are available, and for head's grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order. 

In case the head has multiple spouses, the identification of the children's mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V1735" name="PMAGE" wgt-var="V1680" files="F13" dcml="0" intrvl="contin">
      <location StartPos="138" EndPos="140" width="3" RecSegNo="1"/>
      <labl>
        Age of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="100"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        101
      </sumStat>
      <sumStat type="mean">
        40.404
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        40.31
      </sumStat>
      <sumStat type="stdev">
        11.167
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.165
      </sumStat>
      <txt>
        Indicates the Age of the mother
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1736" name="PMMART" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="142" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <txt>
        Indicates the Marital status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          24142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23957.631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          491
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          473.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2167.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23556.901
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.

The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1737" name="PMMART_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="145" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <txt>
        Indicates the Marital status of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          24142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23957.631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          361.175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2167.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23556.901
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.


The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1738" name="PMEDUC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="147" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the Educational level of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          28598
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28746.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          5113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4946.334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          11143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10834.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1159
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1124.323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          4307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4357.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146.019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1739" name="PMEDUC_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="150" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        50458
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        50155.653
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the Educational level of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          25141
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25406.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read AND write
        </labl>
        <catStat type="freq">
          3120
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3032.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          302.039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          2600
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2531.206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2513
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2415.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          660
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          695.401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          10483
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10139.437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1159
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1124.323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          4307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4357.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146.019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The code "1" in the original variable indicating those below the question age category was recoded missing.]]>
      </notes>
    </var>
    <var ID="V1740" name="PMMAS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="152" width="2" RecSegNo="1"/>
      <labl>
        Main activity of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          5674
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5784.015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          629
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          624.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          19363
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19023.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85.158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1048
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1057.337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.146
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23556.901
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- "Employed" -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- "Not Employed".  
The rationale is that individuals do not generally spend their time "being unemployed", but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the "Not Employed".
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive - individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1741" name="PMMAS_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="155" width="3" RecSegNo="1"/>
      <labl>
        Main activity of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26825
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26598.751
      </sumStat>
      <sumStat type="invd">
        23633
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23556.901
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          275.995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          5374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5490.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          287
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          297.351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          1246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1186.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          18117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17836.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          256
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          257.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          103
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108.219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          691.99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.146
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23556.901
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Those reported as working students were considered active and their employment related variables were provided in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V1742" name="PMCEMS" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="157" width="2" RecSegNo="1"/>
      <labl>
        Employment status of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        5980
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6130.11
      </sumStat>
      <sumStat type="invd">
        44478
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        44025.543
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the mother, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          3263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3159.894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          200.494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1298.149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1001
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1144.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          287
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327.024
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44478
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44025.543
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Non waged workers were recoded as "employee".
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1743" name="PMOCC" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="160" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6108
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6258.677
      </sumStat>
      <sumStat type="invd">
        44350
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        43896.976
      </sumStat>
      <txt>
        <![CDATA[Occupation classification for the main (current or last held) job  of the mother]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          187.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1427
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1361.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          515.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1605.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1306.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          209.037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          138.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          224.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.958
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43896.976
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1744" name="PMOCC_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="164" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the mother [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6108
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6258.677
      </sumStat>
      <sumStat type="invd">
        44350
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        43896.976
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the mother, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          187.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1427
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1361.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          515.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and shop and market sales
        </labl>
        <catStat type="freq">
          1482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1605.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1306.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft and related trades
        </labl>
        <catStat type="freq">
          222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          209.037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          138.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          224.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.958
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43896.976
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q509 indicates the occupation in the main job for those employed at the time of the survey, while Q520 indicates the occupation in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1745" name="PMIND" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="167" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6108
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6258.677
      </sumStat>
      <sumStat type="invd">
        44350
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        43896.976
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the mother
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          1228
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1347.778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1193
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1310.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          2452
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2395.505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.958
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43896.976
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q510 indicates the economic activity in the main job for those employed at the time of the survey, while Q521 indicates the economic activity in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1746" name="PMIND_unrecoded" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="168" EndPos="171" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the mother [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6108
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6258.677
      </sumStat>
      <sumStat type="invd">
        44350
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        43896.976
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the mother, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1228
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1347.778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Water supply; sewerage, waste management and remediation act
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Wholesale and retail trade; repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          1193
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1310.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          97
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85.106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459.227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1446
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1344.078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          651.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Household domestic services
        </labl>
        <catStat type="freq">
          142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          177.257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.958
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43896.976
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1747" name="PMTYPEWK" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="173" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        5980
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6130.11
      </sumStat>
      <sumStat type="invd">
        44478
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        44025.543
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          2109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1919.899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59.327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          3502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3807.539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          287
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327.024
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44478
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44025.543
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
    <var ID="V1748" name="PMTYPEWK_D" wgt-var="V1680" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="176" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        5980
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6130.11
      </sumStat>
      <sumStat type="invd">
        44478
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        44025.543
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          2109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1919.899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59.327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1829
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1981.282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          1571
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1763.503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          287
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327.024
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44478
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44025.543
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Q511 indicates the sector of employment in the main job for those employed at the time of the survey, while Q522 indicates the sector of employment in the last held job for those reported as unemployed ever worked.
Ever employed individuals were identified using Q513 in the raw data, indicating if the individual has ever been employed for a period of 6 continuous months or more.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
