<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="SDN_NBHS_2009_HD_V2.0" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Template_project
        </titl>
        <IDNo>
          SDN_NBHS_2009_HD_V2.0
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2014-04">
          2014-04
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 2.0
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          National Baseline Household Survey, NBHS 2009
        </titl>
        <altTitl>
          NBHS 2009
        </altTitl>
        <IDNo>
          SDN_NBHS_2009_HD_V2.0
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty affiliation="Sudan">
          Central Bureau of Statistics (CBS)
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer abbr="SN" role="Technical assistance">
          Statistics Norway
        </producer>
        <producer abbr="UNDP" role="Technical assistance">
          United Nations Devlopment Fund
        </producer>
        <producer abbr="FAO" role="Technical assistance">
          United Nations Food and Agriculture Organization
        </producer>
        <copyright>
          (c) 2014, Economic Research Forum | (c) 2009, Central Bureau of Statistics, Sudan
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="AfDB" role="Financial support">
          African Development Bank
        </fundAg>
        <fundAg abbr="MFA" role="Financial support">
          The Norwegian Ministry of Foreign Affairs
        </fundAg>
        <fundAg abbr="FMOFNE" role="Financial support">
          Federal Ministry of Finance and National Economy
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact 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>
          The National Baseline Household Survey 2009 (NBHS) is the second national sample survey designed to provide information for all Sudan after the peace agreement in 2005.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2014-04">
          <![CDATA[V1.0: The raw version of the survey data used for cleaning and harmonization purposes only. This version is not publicly disseminated.

V2.0: A cleaned and a harmonized version of the survey dataset, including all harmonized variables that could be generated from the survey raw data, in addition to a number of 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.]]>
        </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[<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED FOR THE 15 NORTHERN STATES BY THE CENTRAL BUREAU OF STATISTICS (CBS) IN THE REPLUBLIC OF SUDAN </p> 


The central focus of the National Baseline Household Survey for the year 2009 (NBHS 2009) is to provide indicators and reference statistics for the living condition of all Sudanese. The NBHS 2009 was conducted in all the 25 States of Sudan in a uniform way whereas CBS collected and processed the data for the 15 Northern States and the Southern Sudan Centre for Census, Statistics and Evaluation (SSCCSE) had similar responsibility for the 10 Southern States. 

The NBHS involves random sampling, interviewing 528 households in every state. The respondents were asked questions about their education, economic activity, consumption, housing and other topics addressing the issue of poverty. 

Accurate, up-to-date, and relevant data from household surveys are essential for governments to make sound economic and social policy decisions. Governments need the data from the NBHS to measure and monitor poverty, employment and unemployment, school enrollment, nutritional status, housing conditions, and other dimensions of living standards. They need the data to determine whether food, drinking water, schools, agriculture, services, roads, electric power, and other basic services are reaching the poor and other disadvantaged. 

Additionally analysts need household survey data to model economic behavior and thus provide answers to such important policy issues. 


The raw survey data provided by the Central Bureau of Statistics for the 15 Northern States 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="2009-05-17" event="start" cycle="-"/>
        <collDate date="2009-06-30" event="end" cycle="-"/>
        <nation abbr="SDN">
          Sudan
        </nation>
        <geogCover>
          This survey is representative for the 15 states of Northern Sudan, including urban and rural areas.
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          <![CDATA[The survey covered a national sample of private households in Northern states of Sudan and all individuals permanently residing in surveyed households.
 It did not cover special types of households such as institutional households (hostels, hospitals etc), refugee camps, IDP camps, cattle camps, and homeless people.]]>
        </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="CBS">
          Central Bureau of Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED FOR THE 15 NORTHERN STATES BY THE CENTRAL BUREAU OF STATISTICS (CBS) IN THE REPLUBLIC OF SUDAN </p> 


The sample selected for the NBHS2009 was based on a stratified two stage sampling procedure. The preliminary count of households per Enumeration Area (EA) as well as the cartographic work from the 2008 National Population and Housing Census were used as the sampling frame. The EAs from the census constituted the primary sampling units. For the NBHS 2009, the Census EAs were stratified by urban and rural in each State. Some of the sample EAs could not be covered because of security or other problems, in such case they were replaced by EAs within the same geographical areas. In addition, the sample did not include nomadic population due to lack of proper sampling frame for them and problems of accessibility. Also institutional households, camps etc as well as the homeless part of the population were excluded from the sample.

A second sampling stage was conducted by listing all households within the selected EAs in the sample and thereafter selecting a fixed random sample of 12 households to be interviewed. A total sample size of 528 households in each State was distributed into 44 primary sampling units (PSUs).

The sample size was designed to obtain reliable estimates for key survey variables at the State level and for urban and rural domains at the national level, the State 15 level and the State 10 level.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The questionnaire was designed in English and translated into Arabic with the same wording and modules. It was distributed to the respondents in Arabic only.

In addition a comprehensive field manual (English) was prepared to assist the fieldworkers in filling out each section of the questionnaire. A summary manual was translated to Arabic and used for the training in the 15 Northern States.

The questionnaire was designed for Optical Character Recognition (OCR) using a commonly available software. It was printed on standard 80 grams A4 paper and stapled to a booklet.

A technical working group was established in July 2008. This group oversaw the development of the questionnaire, with inputs from different stakeholders and technical consultants.]]>
        </resInstru>
        <sources/>
        <collSitu>
          The field data collection was carried out in only 6 weeks during the period of 17th May 2009 - 30th June 2009.
        </collSitu>
        <actMin>
          <![CDATA[The trained interviewers and supervisors in each state were distributed into three teams. Each field team composed of one supervisor responsible for supervision, guidance, selection of the ultimate sampling units and revision of filled in questionnaires on daily basis; four interviewers responsible for household listing and data collection and a driver. The state NBHS director provided overall supervision and follow up of the field work on daily basis. The field data collection was carried out during the period of 17th May - 30th June 2009.

Teams from the principal trainers had visited the states during the field work period. They met with the interviewers and supervisors in the field and discussed with them the problems faced and progress of data collection.]]>
        </actMin>
        <weight>
          <![CDATA[The total sample for Northern Sudan is not self-weighting since a fixed sample of 528 households was drawn from each state, irrespective of the population size. Therefore, to derive estimates for Northern Sudan, it was necessary to assign a weight to each state level sample. 
The variables "weight" or "hhweight" (renamed HHWEIGHT and HHWEIGHT2, respectively in the harmonized data file) should be used as the weighting coefficient. The 2 variables are identically weighing the sample.]]>
        </weight>
        <cleanOps>
          <![CDATA[Raw Data
=======
The questionnaires for the 15 Northern states were scanned centrally at CBS premises in Khartoum. A high capacity scanner and optical character recognition (OCR) software were used. Approximately 96-97% of all characters filled in was automatically interpreted and entered into the software internal database. The scanning procedure included manual on-screen verification of remaining data that could not be automatically interpreted. Finally, the scanned data were exported as ASCII files with corresponding digital images of each questionnaire. The data files were converted, further processed/edited and also tabulated using the software SPSS/PASW.

The NBHS2009 was edited as a combination of post-scanning automated edits and manual back-checks on electronic images (TIF-files) stored for each questionnaire. The latter mainly used for verifying outliers due to possible scanning or fieldworker errors.

The automated edits were pre-programmed to identify and correct consistency errors within each thematic section of the questionnaire and, especially for age related variables (marital status, education and work), also across section checks were applied. 

Outliers were defined as outside the range of MEAN +/- 3 x STDV of actual variable in stratum. Outliers were listed and, unless manual intervention from subject matter specialist, the outliers were automatically imputed to MEDIAN value of stratum.
However, for the very thorough edits of the questionnaire section M (purchase and consumption) additional information on local market prices were used to correct the raw data.

If skip was missing or inconsistent with responses given in the related detailed question, the detailed question response overruled the skip and the skip was adjusted.

The difficulties with achieving consistency between age and level of current school attending was approached by introducing a predefined acceptable age range with upper and lower cut-off for each level of school from Primary 1 to University. People defined too old for a certain school level reported, was corrected to "not currently attending" and the initially reported school level was imputed in the "highest ever school level" variable. 

To keep track of the amount and type of edits done, all variables with automated or manual intervention were flagged. 

Two cleaned data master files are produced from the NBHS2009. One file with individuals distributed (section B-D) and one file with households distribute (E-O). In addition special files are produced for commodities (section M) used for poverty and food security calculation and for the agriculture (section N) concerning crop production and structures.

There were some challenges encountered in the implementation of the survey:
· Change from Quick Baseline Poverty Survey (QBPS) to the NBHS concept resulted in addition of other modules that inflated the questionnaire which involved much more work and additional funds were required to conduct the survey
· Delay of transfer of filed work budget to the CBS statistical offices at the states to almost one month had delayed the start of data collection stage from April to May 2009.
· Due to insecurity situations in some parts of Darfur region; six clusters in South Darfur, three in North Darfur and one in West Darfur were replaced in the same geographical areas. In addition, due to respondents refusal to cooperate with the field work teams  in two EAs (clusters) one in each of Blue Nile and Nahr Elnil states, these selected EAs were replaced and the field work was completed.
· The collection of consumption information for some items was made especially hard by the lack of standardized units of measurement in North Sudan. Because, consumption of these items is sourced in non-standardized units (such as heaps, cups, bundles, rubu etc.), it is hard to calculate consumption in standardized comparable units (such as kilograms and litres). Accordingly, the questionnaire allowed respondents to report consumption in non-standardized units. A market survey, conducted at state level, provided specific conversion factors for the non-standardized measurement units. While this was the only feasible solution, it may still be prone to non-trivial measurement errors.      


Harmonized Data
============
- The Statistical Package for Social Science (SPSS) 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>
      <anlyInfo>
        <respRate>
          The response rate for the NBHS 2009 conducted in the 15 Northern States, including replacements, is 99.9 per cent.
        </respRate>
      </anlyInfo>
    </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 the Central Bureau of Statistics in the Republic of Sudan as follows:

OAMDI, 2014. Harmonized Household Income and Expenditure Surveys (HHIES), http://www.erf.org.eg/cms.php?id=erfdataportal. Version 2.0 of Licensed Data Files; NBHS 2009 - Central Bureau of Statistics (CBS), Sudan. Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Central Bureau of Statistics in the Republic of Sudan 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>
  </stdyDscr>
  <fileDscr ID="F15" URI="SDN_NBHS_2009_HD_V2.0.Nesstar?Index=0&amp;Name=Sudan09-HH-V2">
    <fileTxt>
      <fileName>
        Sudan09-HH-V2.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="F16" keyvar="V2707"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          7913
        </caseQnty>
        <varQnty>
          213
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F16" URI="SDN_NBHS_2009_HD_V2.0.Nesstar?Index=1&amp;Name=Sudan09-IND-V2">
    <fileTxt>
      <fileName>
        Sudan09-IND-V2.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="F15" keyvar="V2920 V2925"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          48845
        </caseQnty>
        <varQnty>
          53
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <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">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V2705 V2706 V2707 V2708 V2709">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V2710 V2711">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V2712 V2713 V2714 V2715 V2716 V2717 V2718 V2719">
      <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="V2720 V2721 V2722 V2723 V2724 V2725 V2726 V2727 V2728 V2729 V2730 V2731 V2732">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject" var="V2733 V2734 V2735 V2736 V2737 V2738 V2739 V2740 V2741 V2742 V2743 V2744 V2745 V2746 V2747 V2748 V2749 V2750 V2751 V2752 V2753 V2754 V2755">
      <labl>
        Ownership of assets
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V2756 V2760 V2764 V2765 V2766 V2767 V2771 V2775 V2779 V2783 V2787 V2791 V2795">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V2757 V2758 V2759 V2761 V2762 V2763 V2768 V2769 V2770 V2772 V2773 V2774 V2776 V2777 V2778 V2780 V2781 V2782 V2784 V2785 V2786 V2788 V2789 V2790 V2792 V2793 V2794 V2796 V2797 V2798">
      <labl>
        Spouses' characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V2799 V2800 V2801 V2802 V2803 V2804 V2805 V2806 V2807 V2808 V2809 V2810 V2811 V2812 V2813 V2814 V2815 V2816 V2817 V2818 V2819 V2820 V2821 V2822 V2823 V2824 V2825 V2826 V2827 V2828 V2829 V2830 V2831 V2832 V2833 V2834 V2835 V2836 V2837 V2838 V2839 V2840 V2841 V2842 V2843 V2844 V2845 V2846 V2847 V2848 V2849 V2850 V2851 V2852 V2853 V2854 V2855 V2856 V2857 V2858 V2859 V2860 V2861 V2862 V2863 V2864 V2865 V2866 V2867 V2868 V2869 V2870 V2871 V2872 V2873 V2874 V2875 V2876 V2877 V2878 V2879 V2880 V2881 V2882 V2883 V2884 V2885 V2886 V2887 V2888 V2889 V2890 V2891 V2892 V2893 V2894 V2895 V2896 V2897 V2898 V2899 V2900 V2901 V2902 V2903 V2904 V2905 V2906 V2907 V2908 V2909 V2910 V2911 V2912">
      <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="V2913 V2914 V2915 V2916 V2917">
      <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="V2918 V2919 V2920 V2921 V2922 V2925">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V2923 V2924">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V2926 V2927 V2928 V2929 V2930 V2931">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V2932 V2934 V2936 V2938 V2940 V2942 V2944 V2946 V2948 V2950 V2952 V2954">
      <labl>
        Father's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V2933 V2935 V2937 V2939 V2941 V2943 V2945 V2947 V2949 V2951 V2953 V2955">
      <labl>
        Mother's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V2956 V2957 V2958 V2959 V2960 V2961 V2962 V2963 V2964">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject">
      <labl>
        Health
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V2965 V2966 V2967 V2968 V2969 V2970">
      <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>
    <var ID="V2705" name="COUNTRY" wgt-var="V2708" files="F15" 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">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V2706" name="YEAR" wgt-var="V2708" files="F15" 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="2009" max="2009"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2009
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2707" name="CASESER" files="F15" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="22" width="15" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="110101011102003" max="631203012201999"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        110101011102003
      </sumStat>
      <sumStat type="max">
        631203012201999
      </sumStat>
      <sumStat type="mean">
        386373815341921
      </sumStat>
      <sumStat type="stdev">
        171332317560137
      </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
----------------------------------
3 Households were reported in the expenditure data file only, however no household or individual data were reported for those 3 households or their members. 
They were accordingly excluded from the harmonized data files.]]>
      </notes>
    </var>
    <var ID="V2708" name="HWEIGHT" wgt="wgt" files="F15" dcml="4" intrvl="contin">
      <location StartPos="23" EndPos="31" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="201.0833" max="1637.39"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        201.083
      </sumStat>
      <sumStat type="max">
        1637.39
      </sumStat>
      <sumStat type="mean">
        597.188
      </sumStat>
      <sumStat type="stdev">
        375.264
      </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
----------------------------------
Two weight variables were provided in the raw data; one in the household data file (weight) and the other in the expenditure data file (hhweight). Both were included in the harmonized data file and named HHWEIGHT and HHWEIGHT2, respectively. The survey documentations indicates that the 2 variables are identically weighing the sample, and one of them should always be used as a weighing coefficient since the collected sample is not self-weighted.]]>
      </notes>
    </var>
    <var ID="V2709" name="HWEIGHT2" wgt-var="V2708" files="F15" dcml="4" intrvl="contin">
      <location StartPos="32" EndPos="40" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="206.6979" max="1767.812"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        206.698
      </sumStat>
      <sumStat type="max">
        1767.812
      </sumStat>
      <sumStat type="mean">
        618.725
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        873.49
      </sumStat>
      <sumStat type="stdev">
        419.054
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        517.31
      </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
----------------------------------
Two weight variables were provided in the raw data; one in the household data file (weight) and the other in the expenditure data file (hhweight). Both were included in the harmonized data file and named HHWEIGHT and HHWEIGHT2, respectively. The survey documentations indicates that the 2 variables are identically weighing the sample, and one of them should always be used as a weighing coefficient since the collected sample is not self-weighted.]]>
      </notes>
    </var>
    <var ID="V2710" name="REG" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="63"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Northern
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114091.018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          River Nile
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193579.997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Red Sea
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          208998.994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kassala
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          283138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Al Gadarif
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          234826.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Khartoum
        </labl>
        <catStat type="freq">
          527
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          862015.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Al Gezira
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          589038.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          White Nile
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          290885.999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Sinnar
        </labl>
        <catStat type="freq">
          527
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          214302.933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Blue Nile
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140181.017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Northern Kordufan
        </labl>
        <catStat type="freq">
          526
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467989.917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Southern Kordufan
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211004.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Northern Darfur
        </labl>
        <catStat type="freq">
          526
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          258082.374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Western Darfur
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          173948.006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Southern Darfur
        </labl>
        <catStat type="freq">
          527
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483462.008
        </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="V2711" name="RURURB" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" 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">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </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">
          5454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3077638.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2459
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1647906.635
        </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) 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="V2712" name="HNUM" wgt-var="V2708" files="F15" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="28"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        28
      </sumStat>
      <sumStat type="mean">
        6.173
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6.179
      </sumStat>
      <sumStat type="stdev">
        2.806
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.781
      </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="V2713" name="MALNUM" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Number of Males
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="18"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18
      </sumStat>
      <sumStat type="mean">
        3.129
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.13
      </sumStat>
      <sumStat type="stdev">
        1.819
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.811
      </sumStat>
      <txt>
        Total number of Males in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          110320.005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1330
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          800112.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1760
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1042520.511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1711
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1020634.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          793279.873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          799
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459054.361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          481
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280448.275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          125700.561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55369.247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23315.689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8942.543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1686.934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1892.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </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="V2714" name="FEMLNUM" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Number of Females
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="16"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16
      </sumStat>
      <sumStat type="mean">
        3.043
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.048
      </sumStat>
      <sumStat type="stdev">
        1.74
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.71
      </sumStat>
      <txt>
        Total number of females in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27134.095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          861724.015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1923
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1149340.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1811
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1101666.513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          735106.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          709
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          442207.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          346
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          207944.055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118705.731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52757.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15379.055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8481.365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2180.915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1566.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          665.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          201.083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </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="V2715" name="CH14" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Number of persons under age 14
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="15"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15
      </sumStat>
      <sumStat type="mean">
        2.49
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.48
      </sumStat>
      <sumStat type="stdev">
        2.013
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.994
      </sumStat>
      <txt>
        Number of persons under age 14 living in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1663
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          990735.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          748548.387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1330
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          804351.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710584.307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          693855.429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          732
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          413846.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          233384.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86561.637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27390.543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8360.955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3709.432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1963.697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1434.331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          420.498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </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="V2716" name="NUM65" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" 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="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        0.253
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.248
      </sumStat>
      <sumStat type="stdev">
        0.522
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.512
      </sumStat>
      <txt>
        Number of household members aged 65 or more including head and spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          6207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3722211.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          846980.663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147637.813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7552.871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          750.263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </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="V2717" name="HCOMP" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" 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">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" 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">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          307613.762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-2 adults, 1-2 children
        </labl>
        <catStat type="freq">
          1252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          745342.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1-2 adult, 3 or more children
        </labl>
        <catStat type="freq">
          2249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1330475.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 adults or more, 0-1 child
        </labl>
        <catStat type="freq">
          1252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          757580.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          3 adults or more, 2-3 children
        </labl>
        <catStat type="freq">
          1107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          682846.329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          3 adults or more, 4 children or more
        </labl>
        <catStat type="freq">
          1525
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          901686.732
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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="V2718" name="MARRIED" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" 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">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" 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">
          1205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          724678.122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Married couple head and spouse
        </labl>
        <catStat type="freq">
          6507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3898405.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Several cohabiting spouses
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </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="V2719" name="EARN" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Number of earners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Number of household members who receives any earnings.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          529560.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4840
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2906295.533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1340
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          821535.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          298119.576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111280.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39495.746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13301.313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5294.261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.927
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Generated by ERF by summing the total number of household members who were working during the week preceding the survey (d1), in addition to the number of those who didn't work during the reference period but have a job to go back to (d2).
Those who have income in addition to the number of pensioners (retired) were also counted among earners (d11).
Unpaid family workers or unpaid workers were excluded. 
The cases for which the employment status is missing, thus the unpaid family workers cannot be identified, were counted among income earners.]]>
      </notes>
    </var>
    <var ID="V2720" name="INCS" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="57" 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">
        7868
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4692669.486
      </sumStat>
      <sumStat type="invd">
        45
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        32876.109
      </sumStat>
      <txt>
        Main income source of the household
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Household business
        </labl>
        <catStat type="freq">
          4766
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2720943.755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Salaries and wages
        </labl>
        <catStat type="freq">
          2140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1436194.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Remittances from country or abroad
        </labl>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97262.873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Pensions
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34084.761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          724
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          404183.881
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32876.109
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2721" name="DWLTYP" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" 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">
        7883
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4702801.326
      </sumStat>
      <sumStat type="invd">
        30
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        22744.269
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          3854
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2508982.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10026.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18677.621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          3992
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2165114.761
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22744.269
        </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="V2722" name="DWLTYP_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="61" 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">
        7883
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4702801.326
      </sumStat>
      <sumStat type="invd">
        30
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        22744.269
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78193.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Countryside house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Arabic house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Traditional house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Modern house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Public or part of a public house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Small house (part of a villa)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          House in an agency
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          House built in bricks or rocks or concrete
        </labl>
        <catStat type="freq">
          1129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          876314.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          One floor building
        </labl>
        <catStat type="freq">
          2540
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1554474.655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10026.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Villa or floor in a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Part of a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palace
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18677.621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          More than one apartment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Studio
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          One or more separate room
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          One or more room in a housing unit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
        </labl>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          311754.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Clay or reed house
        </labl>
        <catStat type="freq">
          3434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1853360.123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Other place not suitable for residence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22744.269
        </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="V2723" name="DWLTEN" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" 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">
        7846
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4694345.774
      </sumStat>
      <sumStat type="invd">
        67
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        31199.821
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          427
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          332510.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          7008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4117379.417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          315
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          202804.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41651.762
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31199.821
        </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="V2724" name="DWLTEN_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="65" 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">
        7846
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4694345.774
      </sumStat>
      <sumStat type="invd">
        67
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        31199.821
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          427
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          332510.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Unfurnished rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Furnished rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Old law rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          New law rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Rent with key money
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          7008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4117379.417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unit owned (privately or jointly)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unit bought
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          In the process of being acquired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Mortgage with or without rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          315
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          202804.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Provided free by employer, by work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Subsidized rent, without payment, from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Gift/granted
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          In-kind benefit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Without payment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Free agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          No agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Provided for work
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41651.762
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31199.821
        </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="V2725" name="ROOM" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="19"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7907
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4723995.006
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1550.589
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        19
      </sumStat>
      <sumStat type="mean">
        3.265
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.252
      </sumStat>
      <sumStat type="stdev">
        1.869
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.874
      </sumStat>
      <txt>
        Number of rooms excluding bathroom and kitchen
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          658071.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2156
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1276705.754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1889
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1133600.297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1188
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          685227.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          701
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426195.305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          416
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          250017.318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          226
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131465.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90045.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34587.049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23483.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4282.401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3859.048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          618.281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          485.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1856.804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1550.589
        </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
----------------------------------
h2 as per the variable label indicates the total number of rooms, and the variable definition does not indicate whether it includes or excludes the number of kitchen/bathrooms.
It was assumed that the number of kitchens and bathrooms are not counted since the variable minimum value starts at 1.]]>
      </notes>
    </var>
    <var ID="V2726" name="ELECT" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" 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">
        7906
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4719142.436
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6403.159
      </sumStat>
      <txt>
        Indicates if the dwelling is electrified or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          4818
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2742321.477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electrified
        </labl>
        <catStat type="freq">
          3088
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1976820.959
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6403.159
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2727" name="SLIGHT" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="69" 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">
        7906
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4719142.436
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6403.159
      </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">
          1108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          747334.487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public network
        </labl>
        <catStat type="freq">
          2269
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1559195.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          819
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          417625.662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16595.562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          2427
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1317823.598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          660567.83
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6403.159
        </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="V2728" name="SCOOK" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" 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">
        7909
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4723411.506
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2134.09
      </sumStat>
      <txt>
        Distinguish between different sources of energy for cooking
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No cooking
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6278.999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1867.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          2294
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1672808.149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12534.394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood &amp; coal
        </labl>
        <catStat type="freq">
          5509
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2981699.283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48223.202
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2134.09
        </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="V2729" name="WAT" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" 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">
        7870
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4707349.04
      </sumStat>
      <sumStat type="invd">
        43
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18196.555
      </sumStat>
      <txt>
        Indicates from where the household get its drinking water
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped supply
        </labl>
        <catStat type="freq">
          2562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770086.338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public tap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          2892
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1574538.566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanker
        </labl>
        <catStat type="freq">
          1625
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          957556.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          791
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          405167.784
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18196.555
        </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
----------------------------------
Boreholes connected or not connected are considered well.]]>
      </notes>
    </var>
    <var ID="V2730" name="TOIF" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" 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">
        7895
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4717851.654
      </sumStat>
      <sumStat type="invd">
        18
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7693.941
      </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">
          387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          320353.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes and not connected to sewage
        </labl>
        <catStat type="freq">
          4574
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2713031.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No facility
        </labl>
        <catStat type="freq">
          2934
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1684466.494
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7693.941
        </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="V2731" name="TOIF_SH" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" 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">
        7895
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4717851.654
      </sumStat>
      <sumStat type="invd">
        18
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7693.941
      </sumStat>
      <txt>
        Indicates whether the household shares the toilet facility or no
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Private toilet
        </labl>
        <catStat type="freq">
          4371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2644452.683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Shared toilet
        </labl>
        <catStat type="freq">
          590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          388932.478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No toilet facility
        </labl>
        <catStat type="freq">
          2934
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1684466.494
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7693.941
        </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 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="V2732" name="GRBG_DSP" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="76" width="3" RecSegNo="1"/>
      <labl>
        Garbage disposal method
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="730"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7908
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4723145.128
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2400.467
      </sumStat>
      <txt>
        Indicates the method the household uses for garbage disposal
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Collected
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Collected by a garbage collector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Collected by a private company
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Collected by government services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Thrown in a public bin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Thrown in a closed public bin
        </labl>
        <catStat type="freq">
          476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568270.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Thrown in an unclosed public bin
        </labl>
        <catStat type="freq">
          1214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          619811.997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Thrown in a garbage area
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Thrown in the streets
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Thrown randomly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Burnt
        </labl>
        <catStat type="freq">
          2270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1339952.009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1526
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          856596.182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Heap
        </labl>
        <catStat type="freq">
          2025
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1082149.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Pit
        </labl>
        <catStat type="freq">
          397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          256365.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Recycled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2400.467
        </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="V2733" name="CAR" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" 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">
        7839
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4693400.748
      </sumStat>
      <sumStat type="invd">
        74
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        32144.848
      </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">
          7371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4352894.455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          340506.292
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32144.848
        </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 : Motor vehicles]]>
      </notes>
    </var>
    <var ID="V2734" name="CAR_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Number of cars, vans, taxies, carts, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        441
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        315430.466
      </sumStat>
      <sumStat type="invd">
        7472
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4410115.129
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.102
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.093
      </sumStat>
      <sumStat type="stdev">
        0.383
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.34
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of cars,  taxies, carts ... or any other type of vehicles the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          290417.971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21626.231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2565.305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          820.959
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4410115.129
        </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="V2735" name="MBCYCLE" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="79" 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">
        7840
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4691822.326
      </sumStat>
      <sumStat type="invd">
        73
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        33723.27
      </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">
          6780
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4164146.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1060
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          527675.667
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33723.27
        </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: Motorcycle/motor rickshaw and Bicycle]]>
      </notes>
    </var>
    <var ID="V2736" name="MBCYCLE_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Number of bicycles, scooters, motorcycles, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1015
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        508561.443
      </sumStat>
      <sumStat type="invd">
        6898
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4216984.152
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        1.186
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.17
      </sumStat>
      <sumStat type="stdev">
        0.478
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.457
      </sumStat>
      <txt>
        Indicates the number of bicycles, scooters, motorcycles, etc...the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          437063.043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58159.734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11794.037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1278.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6898
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4216984.152
        </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="V2737" name="TELV" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="81" 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">
        7850
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4702005.341
      </sumStat>
      <sumStat type="invd">
        63
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        23540.254
      </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">
          5409
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3052199.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1649806.209
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23540.254
        </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: Television(s)/satellite dish(es). 

Since television and satellite dish are aggregated in one category, ownership of satellite dishes will be reported with the television ownership in the harmonized data.]]>
      </notes>
    </var>
    <var ID="V2738" name="TELV_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        Number of TVs, LCDs, LEDs, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="21"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2396
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1622649.537
      </sumStat>
      <sumStat type="invd">
        5517
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3102896.058
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        21
      </sumStat>
      <sumStat type="mean">
        1.12
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.131
      </sumStat>
      <sumStat type="stdev">
        0.59
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.479
      </sumStat>
      <txt>
        Indicates the number of TVs, LCDs, LEDs, etc… the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1449055.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147538.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19706.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5274.399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          566.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          288.781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5517
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3102896.058
        </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="V2739" name="RADIO" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Has radio or radio-cassette
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7849
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4702587.595
      </sumStat>
      <sumStat type="invd">
        64
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        22958
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a radio or  radio-cassette]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2514595.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          3649
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2187991.634
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22958
        </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: Radio(s)/transistor(s)]]>
      </notes>
    </var>
    <var ID="V2740" name="RADIO_N" wgt-var="V2708" files="F15" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Number of radios or radio-cassettes
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="23"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        3535
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2122067.855
      </sumStat>
      <sumStat type="invd">
        4378
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2603477.74
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        23
      </sumStat>
      <sumStat type="mean">
        1.116
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.115
      </sumStat>
      <sumStat type="stdev">
        0.572
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.712
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of radios  radio-cassettes  the household owns or has free access to]]>
      </txt>
      <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="V2741" name="TELPH" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="87" 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">
        7845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4700943.371
      </sumStat>
      <sumStat type="invd">
        68
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        24602.224
      </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">
          3973
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2246864.411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          3872
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2454078.96
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24602.224
        </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: Phone(s)]]>
      </notes>
    </var>
    <var ID="V2742" name="TELPH_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Number of telephones, cell phones, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="14"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        3814
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2422196.242
      </sumStat>
      <sumStat type="invd">
        4099
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2303349.353
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        14
      </sumStat>
      <sumStat type="mean">
        1.807
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.856
      </sumStat>
      <sumStat type="stdev">
        1.246
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.288
      </sumStat>
      <txt>
        Indicates the number of telephones, cell phones etc… the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1296684.723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          648496.179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223469.694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145731.518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51724.102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28976.31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14541.053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6333.98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1328.585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4075.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          834.333
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2303349.353
        </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="V2743" name="COMPUTER" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="90" 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">
        7837
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4697485.336
      </sumStat>
      <sumStat type="invd">
        76
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        28060.259
      </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">
          7606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4513112.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184372.7
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28060.259
        </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: Computer(s)]]>
      </notes>
    </var>
    <var ID="V2744" name="COMPUTER_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Number of computers or laptops connected or not to an internet line
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="7"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        202
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        167740.519
      </sumStat>
      <sumStat type="invd">
        7711
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4557805.076
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        7
      </sumStat>
      <sumStat type="mean">
        1.129
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.168
      </sumStat>
      <sumStat type="stdev">
        0.593
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.591
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of  computers or laptops connected or not to an internet line the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          188
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          151030.624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9604.455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3552.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3274.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          277.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7711
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4557805.076
        </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="V2745" name="REFRG" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="92" 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">
        7842
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4699928.955
      </sumStat>
      <sumStat type="invd">
        71
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        25616.64
      </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">
          6479
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3732278.009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1363
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          967650.946
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25616.64
        </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(s)]]>
      </notes>
    </var>
    <var ID="V2746" name="REFRG_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Number of refrigerators, freezers, water coolers, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1329
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        945159.306
      </sumStat>
      <sumStat type="invd">
        6584
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3780386.289
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.081
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.09
      </sumStat>
      <sumStat type="stdev">
        0.317
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.331
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of  refrigerators, freezers, water coolers, etc… the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1235
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          870770.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65892.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6251.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2245.113
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3780386.289
        </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="V2747" name="COND" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" 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">
        7824
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4690521.639
      </sumStat>
      <sumStat type="invd">
        89
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35023.956
      </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">
          7482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4362937.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327583.801
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          89
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35023.956
        </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: Air cooler(s)/air conditioner(s)]]>
      </notes>
    </var>
    <var ID="V2748" name="COND_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Number of air conditioners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        302834.221
      </sumStat>
      <sumStat type="invd">
        7600
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4422711.374
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.703
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.68
      </sumStat>
      <sumStat type="stdev">
        1.367
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.267
      </sumStat>
      <txt>
        Indicates the number of air conditioners the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196758.056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60115.199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22068.191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9951.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5324.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3613.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2474.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2529.09
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7600
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4422711.374
        </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="V2749" name="FAN" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="96" 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">
        7844
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4700312.104
      </sumStat>
      <sumStat type="invd">
        69
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        25233.491
      </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">
          6205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3482467.235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1639
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1217844.869
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25233.491
        </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: Fan(s)]]>
      </notes>
    </var>
    <var ID="V2750" name="FAN_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Number of electric fans
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="14"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1624
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1207390.948
      </sumStat>
      <sumStat type="invd">
        6289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3518154.647
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        14
      </sumStat>
      <sumStat type="mean">
        2.7
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.841
      </sumStat>
      <sumStat type="stdev">
        1.912
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.043
      </sumStat>
      <txt>
        Indicates the number of electric fans the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          516
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          353763.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          421
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          314975.474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          281
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210347.559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134882.457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          85
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67691.662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54179.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25323.138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21278.881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10201.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3869.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8876.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          363.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3518154.647
        </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="V2751" name="ODUR" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="99" 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">
        7830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4686528.544
      </sumStat>
      <sumStat type="invd">
        83
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        39017.051
      </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">
          7769
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4664527.717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22000.827
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39017.051
        </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: Canoe/boat]]>
      </notes>
    </var>
    <var ID="V2752" name="ODUR_N" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="100" width="1" RecSegNo="1"/>
      <labl>
        Number of other durables
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        50
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        16870.924
      </sumStat>
      <sumStat type="invd">
        7863
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4708674.671
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.06
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.052
      </sumStat>
      <sumStat type="stdev">
        0.24
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.223
      </sumStat>
      <txt>
        Indicates the number of any other appliances the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15989.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          881.341
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4708674.671
        </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="V2753" name="LIVESTOK" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="101" width="1" RecSegNo="1"/>
      <labl>
        Has livestock
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4708173.482
      </sumStat>
      <sumStat type="invd">
        28
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        17372.113
      </sumStat>
      <txt>
        Indicates if the household owns any kind of livestock (cattle, sheep, poultry, horse, donkey etc…)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2967
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1990184.501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          4918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2717988.981
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17372.113
        </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: Ownership of cattle, horses, donkeys/mules, pigs, sheep, goats, poultry, camels]]>
      </notes>
    </var>
    <var ID="V2754" name="OLAND" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="102" width="1" RecSegNo="1"/>
      <labl>
        Own land
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6778
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4101601.767
      </sumStat>
      <sumStat type="invd">
        1135
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        623943.829
      </sumStat>
      <txt>
        Indicates whether the household owns land or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3907
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2540806.255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2871
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1560795.512
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          623943.829
        </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
----------------------------------
n2_1 indicates ownership of land
n2_3 indicates partial ownership of land

70 cases reported an area of "zero" square meter of land owned. No correction could be done for those cases.]]>
      </notes>
    </var>
    <var ID="V2755" name="ALAND" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        Area of Own land
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="25200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6671
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4044794.509
      </sumStat>
      <sumStat type="invd">
        1242
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        680751.086
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        25200
      </sumStat>
      <sumStat type="mean">
        20.415
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        15.66
      </sumStat>
      <sumStat type="stdev">
        346.718
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        239.251
      </sumStat>
      <txt>
        Indicates the area of the owned land
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
ALAND=0 IF OLAND=0 (do not own a land), hence this variable should be complete for all households except those for which OLAND is missing.
The area of land should be reported in square meter


COUNTRY SPECIFIC NOTES
----------------------------------
As per the survey documentation, the data provided on plots area are of low quality and unreliable.

The area was provided in feddan, acres and square meter. Therefore, feddan and acres were converted into square meter.]]>
      </notes>
    </var>
    <var ID="V2756" name="AGEHD" wgt-var="V2708" files="F15" dcml="0" intrvl="contin">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="15" max="95"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        7911
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4724618.562
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        927.033
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        45.872
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        46.005
      </sumStat>
      <sumStat type="stdev">
        14.701
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14.612
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2757" name="AGESP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="contin">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="95"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        6704
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3999362.734
      </sumStat>
      <sumStat type="invd">
        1209
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        726182.862
      </sumStat>
      <sumStat type="min">
        12
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        36.019
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        36.166
      </sumStat>
      <sumStat type="stdev">
        12.057
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.943
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2758" name="AGESP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="contin">
      <location StartPos="115" EndPos="116" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="15" max="80"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        200
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101946.505
      </sumStat>
      <sumStat type="invd">
        7713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623599.09
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        80
      </sumStat>
      <sumStat type="mean">
        31.635
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        31.085
      </sumStat>
      <sumStat type="stdev">
        9.737
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        9.242
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2759" name="AGESP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" width="2" RecSegNo="1"/>
      <labl>
        Age of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="21" max="36"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <sumStat type="min">
        21
      </sumStat>
      <sumStat type="max">
        36
      </sumStat>
      <sumStat type="mean">
        27.875
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        28.25
      </sumStat>
      <sumStat type="stdev">
        6.468
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6.185
      </sumStat>
      <txt>
        Age in years of the third spouse
      </txt>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          263.061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          813.971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          810.92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </catStat>
      </catgry>
      <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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2760" name="SEXHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="119" 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">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          7089
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4225698.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          824
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          499847.159
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/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="V2761" name="SEXSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="120" 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">
        6708
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4000867.473
      </sumStat>
      <sumStat type="invd">
        1205
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        724678.122
      </sumStat>
      <txt>
        Gender of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21625.524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          6658
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3979241.949
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          724678.122
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/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="V2762" name="SEXSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="121" 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">
        201
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        102462.366
      </sumStat>
      <sumStat type="invd">
        7712
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623083.229
      </sumStat>
      <txt>
        Gender of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7712
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623083.229
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/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="V2763" name="SEXSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" 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">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <txt>
        Gender of the third spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2905.098
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/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="V2764" name="MARTHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="124" 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 12+ years
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          143359.049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          6885
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4135782.158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92981.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249323.606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2765" name="MARTHD_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="127" 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 12+ years
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          143359.049
        </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">
          6885
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4135782.158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92981.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249323.606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </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="V2766" name="PARTHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" 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">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4723908.205
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1637.39
      </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">
          564
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          346743.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Head with partner, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          5855
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3484162.079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Head with partner, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          667
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          407339.086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single Head, with no children
        </labl>
        <catStat type="freq">
          388
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218507.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single Head, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          274
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170257.451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Single Head, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          164
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          96898.721
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1637.39
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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="V2767" name="LITHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" 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 6+ years
      </universe>
      <sumStat type="vald">
        7909
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4722986.68
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2558.915
      </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">
          3433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1954174.678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          4476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2768812.003
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2558.915
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2768" name="LITSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="130" 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 6+ years
      </universe>
      <sumStat type="vald">
        6704
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3998676.945
      </sumStat>
      <sumStat type="invd">
        1209
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        726868.65
      </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">
          4108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2348418.502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          2596
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1650258.443
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1209
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          726868.65
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2769" name="LITSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="131" 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 6+ years
      </universe>
      <sumStat type="vald">
        199
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101547.639
      </sumStat>
      <sumStat type="invd">
        7714
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623997.956
      </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">
          140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68284.885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33262.753
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7714
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623997.956
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2770" name="LITSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="132" 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 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </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">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1475.897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1429.201
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2771" name="EDUHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" 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 6+ years
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725061.638
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        483.957
      </sumStat>
      <txt>
        Highest level of education attained by the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1838
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1060779.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1520
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944440.429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          618
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          401811.078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33192.895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          335
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          264043.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          3553
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2020794.22
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483.957
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2772" name="EDUSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="136" 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 6+ years
      </universe>
      <sumStat type="vald">
        6706
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3999888.855
      </sumStat>
      <sumStat type="invd">
        1207
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        725656.74
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1083
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          620958.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          604206.159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          453
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          302311.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21053.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          176
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          142673.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          4059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2308685.569
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          725656.74
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2773" name="EDUSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="138" 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 6+ years
      </universe>
      <sumStat type="vald">
        200
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101946.505
      </sumStat>
      <sumStat type="invd">
        7713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623599.09
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16246.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11528.602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4526.167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69232.97
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623599.09
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2774" name="EDUSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" 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 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1429.201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1063.844
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2775" name="EDUHD_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" 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 6+ years
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725061.638
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        483.957
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          527833.323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          686
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          396095.776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          228
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136850.422
        </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">
          861
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          531234.043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          505
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          310237.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          154
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102968.673
        </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">
          618
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          401811.078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33192.895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          335
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          264043.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          3553
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2020794.22
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483.957
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2776" name="EDUSP_1_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="146" 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 6+ years
      </universe>
      <sumStat type="vald">
        6706
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3999888.855
      </sumStat>
      <sumStat type="invd">
        1207
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        725656.74
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          371363.358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88065.519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161529.394
        </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">
          544
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          365829.797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          168797.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          103
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69579.005
        </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">
          453
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          302311.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21053.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          176
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          142673.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          4059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2308685.569
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          725656.74
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2777" name="EDUSP_2_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="147" EndPos="149" 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 6+ years
      </universe>
      <sumStat type="vald">
        200
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101946.505
      </sumStat>
      <sumStat type="invd">
        7713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623599.09
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6238.646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6188.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3819.265
        </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">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8854.791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1043.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1630.438
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4526.167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69232.97
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623599.09
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2778" name="EDUSP_3_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="152" 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 6+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          618.281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          412.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1063.844
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2779" name="MASHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="154" 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 10+ years
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725061.638
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        483.957
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          6677
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3979346.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          493
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          307416.337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90211.717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2905.799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244974.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13246.023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86961.406
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483.957
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2780" name="MASSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="156" 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 10+ years
      </universe>
      <sumStat type="vald">
        6707
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4000331.93
      </sumStat>
      <sumStat type="invd">
        1206
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        725213.665
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          664682.402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          201240.066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          4893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2915915.408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7150.498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72485.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20888.809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117968.788
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1206
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          725213.665
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2781" name="MASSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="158" 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 10+ years
      </universe>
      <sumStat type="vald">
        200
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101946.505
      </sumStat>
      <sumStat type="invd">
        7713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623599.09
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23344.998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8176.717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64148.787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          834.333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1473.41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3569.394
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623599.09
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2782" name="MASSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" 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 10+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2243.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2783" name="MASHD_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="163" 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 10+ years
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725061.638
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        483.957
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </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">
          5933
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3476094.388
        </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">
          744
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          503251.86
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303180.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4236.153
        </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">
          166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90211.717
        </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">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2905.799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50834.925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          267
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155070.419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39068.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4305.116
        </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">
          8940.907
        </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">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86961.406
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483.957
        </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="V2784" name="MASSP_1_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="166" 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 10+ years
      </universe>
      <sumStat type="vald">
        6707
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4000331.93
      </sumStat>
      <sumStat type="invd">
        1206
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        725213.665
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </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">
          866
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          510561.157
        </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">
          250
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154121.245
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          290
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188316.123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12923.943
        </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">
          4893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2915915.408
        </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">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7150.498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3057.526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51307.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18120.503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          535.543
        </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">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20353.266
        </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">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117968.788
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1206
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          725213.665
        </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="V2785" name="MASSP_2_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="167" EndPos="169" 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 10+ years
      </universe>
      <sumStat type="vald">
        200
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101946.505
      </sumStat>
      <sumStat type="invd">
        7713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4623599.09
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </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">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20233.338
        </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">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3111.66
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8176.717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64148.787
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          834.333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1074.544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3569.394
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4623599.09
        </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="V2786" name="MASSP_3_D" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="170" EndPos="172" 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 10+ years
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2905.098
      </sumStat>
      <sumStat type="invd">
        7905
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4722640.497
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period
      </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.927
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2243.171
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4722640.497
        </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="V2787" name="EMSHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="173" EndPos="174" 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 10+ years
      </universe>
      <sumStat type="vald">
        7159
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4282526.432
      </sumStat>
      <sumStat type="invd">
        754
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        443019.163
      </sumStat>
      <txt>
        Detailed description of the employment status of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          2950
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1819426.395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          525
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          331355.406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          3300
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1905180.473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          104496.626
        </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">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2589.259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119478.273
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          443019.163
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2788" name="EMSSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="176" 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 10+ years
      </universe>
      <sumStat type="vald">
        1406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        852998.525
      </sumStat>
      <sumStat type="invd">
        6507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3872547.07
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          227379.61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15362.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237867.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          304141.215
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1553.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66694.281
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3872547.07
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2789" name="EMSSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="178" 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 10+ years
      </universe>
      <sumStat type="vald">
        63
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        31521.715
      </sumStat>
      <sumStat type="invd">
        7850
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4694023.88
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1603.347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9124.307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18283.226
        </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">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2510.835
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7850
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4694023.88
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2790" name="EMSSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="180" 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 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        661.927
      </sumStat>
      <sumStat type="invd">
        7911
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4724883.668
      </sumStat>
      <txt>
        Detailed description of the employment status of the third spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          263.061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4724883.668
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2791" name="INDHD" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="183" 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 10+ years
      </universe>
      <sumStat type="vald">
        7159
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4282526.432
      </sumStat>
      <sumStat type="invd">
        754
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        443019.163
      </sumStat>
      <txt>
        <![CDATA[Industry classification of the main (current or last held) job  of the head , with as much detail as possible]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          2654
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1483375.261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23525.605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74871.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51587.009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          391
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239635.07
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          423287.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          247537.153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40848.301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          279
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          165482.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          2421
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1482587.364
        </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">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49788.96
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          443019.163
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2792" name="INDSP_1" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="186" 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 10+ years
      </universe>
      <sumStat type="vald">
        1406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        852998.525
      </sumStat>
      <sumStat type="invd">
        6507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3872547.07
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the first spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          678
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          413045.602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14584.502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          544.246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3651.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29230.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10111.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4981.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7817.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          492
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          318434.067
        </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">
          89
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50331.615
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3872547.07
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2793" name="INDSP_2" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="187" EndPos="189" 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 10+ years
      </universe>
      <sumStat type="vald">
        63
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        31521.715
      </sumStat>
      <sumStat type="invd">
        7850
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4694023.88
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the second spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22651.593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1065.222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          532.611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          976.514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4495.148
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1800.627
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7850
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4694023.88
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2794" name="INDSP_3" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="190" EndPos="192" 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 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        661.927
      </sumStat>
      <sumStat type="invd">
        7911
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4724883.668
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the third spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          263.061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4724883.668
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2795" name="INDHD_unrecoded" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="196" 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 10+ years
      </universe>
      <sumStat type="vald">
        7159
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4282526.432
      </sumStat>
      <sumStat type="invd">
        754
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        443019.163
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          432
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          236327.731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          1990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1146084.431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12733.443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88229.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23525.605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74871.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19128.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32458.241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          391
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239635.07
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          423287.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          327
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188294.162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44873.813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14369.178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35259.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5589.025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          197518.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38083.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11388.666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          260
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154093.854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115285.697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82559.711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7123.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          1686
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1012666.586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29349.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49788.96
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          443019.163
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2796" name="INDSP_1_unrecoded" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="200" 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 10+ years
      </universe>
      <sumStat type="vald">
        1406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        852998.525
      </sumStat>
      <sumStat type="invd">
        6507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3872547.07
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24146.199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          362583.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          893.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25422.831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14584.502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          277.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3651.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29230.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2201.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5730.811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2178.391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4606.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          374.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4622.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8026.094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1167.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6650.295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          154
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93795.949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35056.621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5853.179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          209
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          135359.483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35719.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          89
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50331.615
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3872547.07
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2797" name="INDSP_2_unrecoded" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="201" EndPos="204" 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 10+ years
      </universe>
      <sumStat type="vald">
        63
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        31521.715
      </sumStat>
      <sumStat type="invd">
        7850
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4694023.88
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20788.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1464.089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1065.222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          532.611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          976.514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          941.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2888.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1800.627
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7850
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4694023.88
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2798" name="INDSP_3_unrecoded" wgt-var="V2708" files="F15" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="208" 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 10+ years
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        661.927
      </sumStat>
      <sumStat type="invd">
        7911
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4724883.668
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          263.061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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">
          7911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4724883.668
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2799" name="FOODEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="209" EndPos="217" 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="26" max="633921.600009918"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7857
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4688601.467
      </sumStat>
      <sumStat type="invd">
        56
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        36944.128
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        633921.6
      </sumStat>
      <sumStat type="mean">
        6676.548
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6820.68
      </sumStat>
      <sumStat type="stdev">
        9674.759
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8426.116
      </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
----------------------------------
All amounts were provided in SDG.

Weekly and monthly amounts were annualized by multiplying them by 52 and 12, respectively.

An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.

Items grouped under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V2800" name="RICE" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="218" EndPos="225" width="8" RecSegNo="1"/>
      <labl>
        Rice expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.20000007748604" max="20800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2971
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1823139.938
      </sumStat>
      <sumStat type="invd">
        4942
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2902405.657
      </sumStat>
      <sumStat type="min">
        5.2
      </sumStat>
      <sumStat type="max">
        20800
      </sumStat>
      <sumStat type="mean">
        295.432
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        283.358
      </sumStat>
      <sumStat type="stdev">
        532.453
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        455.733
      </sumStat>
      <txt>
        Expenditures on rice in all forms
      </txt>
      <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="V2801" name="GRAIN" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="226" EndPos="234" width="9" 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>
      <valrng>
        <range UNITS="REAL" min="0.201748206280172" max="197080"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6589
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3928153.147
      </sumStat>
      <sumStat type="invd">
        1324
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        797392.449
      </sumStat>
      <sumStat type="min">
        0.202
      </sumStat>
      <sumStat type="max">
        197080
      </sumStat>
      <sumStat type="mean">
        1816.805
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1721.956
      </sumStat>
      <sumStat type="stdev">
        4265.038
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4021.304
      </sumStat>
      <txt>
        Wheat, Maize, Barely and all cereals in the grain or flour form
      </txt>
      <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="V2802" name="BREAD" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="235" EndPos="242" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="0.636734690517187" max="34164"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3796507.711
      </sumStat>
      <sumStat type="invd">
        1740
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        929037.884
      </sumStat>
      <sumStat type="min">
        0.637
      </sumStat>
      <sumStat type="max">
        34164
      </sumStat>
      <sumStat type="mean">
        655.625
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        740.109
      </sumStat>
      <sumStat type="stdev">
        900.279
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        875.452
      </sumStat>
      <txt>
        Bread in all forms, biscuits, cakes pizza..
      </txt>
      <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="V2803" name="PAST" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="243" EndPos="249" width="7" RecSegNo="1"/>
      <labl>
        Pasta expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.30917213857174" max="5200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3588
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2253574.376
      </sumStat>
      <sumStat type="invd">
        4325
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2471971.219
      </sumStat>
      <sumStat type="min">
        1.309
      </sumStat>
      <sumStat type="max">
        5200
      </sumStat>
      <sumStat type="mean">
        253.792
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        247.434
      </sumStat>
      <sumStat type="stdev">
        269.704
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        259.874
      </sumStat>
      <txt>
        Macaroni, Noodles, Couscous ..
      </txt>
      <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="V2804" name="CERPRE" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="250" EndPos="256" width="7" RecSegNo="1"/>
      <labl>
        Cereal preparation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15.6000006198883" max="3692"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        206
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        262768.062
      </sumStat>
      <sumStat type="invd">
        7707
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4462777.533
      </sumStat>
      <sumStat type="min">
        15.6
      </sumStat>
      <sumStat type="max">
        3692
      </sumStat>
      <sumStat type="mean">
        237.61
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        230.992
      </sumStat>
      <sumStat type="stdev">
        345.623
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        339.823
      </sumStat>
      <txt>
        Cornflakes, malt, tapioca..
      </txt>
      <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="V2805" name="CEREXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="257" EndPos="265" width="9" 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="5.20000007748604" max="206492"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7596
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4542077.046
      </sumStat>
      <sumStat type="invd">
        317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        183468.549
      </sumStat>
      <sumStat type="min">
        5.2
      </sumStat>
      <sumStat type="max">
        206492
      </sumStat>
      <sumStat type="mean">
        2350.63
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2357.698
      </sumStat>
      <sumStat type="stdev">
        4307.22
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4007.742
      </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="V2806" name="CEROWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="266" EndPos="269" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Bread and Cereals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2807" name="SMEAT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="270" EndPos="278" width="9" 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>
      <valrng>
        <range UNITS="REAL" min="1.40400003641844" max="629772"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4334
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2383723.728
      </sumStat>
      <sumStat type="invd">
        3579
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2341821.867
      </sumStat>
      <sumStat type="min">
        1.404
      </sumStat>
      <sumStat type="max">
        629772
      </sumStat>
      <sumStat type="mean">
        1070.536
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1065.494
      </sumStat>
      <sumStat type="stdev">
        9586.551
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8190.065
      </sumStat>
      <txt>
        Fresh frozen and tinned goats and sheep meat
      </txt>
      <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="V2808" name="CMEAT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="279" EndPos="285" width="7" RecSegNo="1"/>
      <labl>
        Cow meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="41.6000006198883" max="8320"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2402856.991
      </sumStat>
      <sumStat type="invd">
        4222
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2322688.605
      </sumStat>
      <sumStat type="min">
        41.6
      </sumStat>
      <sumStat type="max">
        8320
      </sumStat>
      <sumStat type="mean">
        752.493
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        814.327
      </sumStat>
      <sumStat type="stdev">
        599.089
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        619.82
      </sumStat>
      <txt>
        Fresh frozen and tinned cow meat
      </txt>
      <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="V2809" name="OMEAT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="286" EndPos="293" width="8" RecSegNo="1"/>
      <labl>
        Other meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.20000007748604" max="60320"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        229192.189
      </sumStat>
      <sumStat type="invd">
        7507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4496353.406
      </sumStat>
      <sumStat type="min">
        5.2
      </sumStat>
      <sumStat type="max">
        60320
      </sumStat>
      <sumStat type="mean">
        662.411
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        583.232
      </sumStat>
      <sumStat type="stdev">
        3003.477
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1908.003
      </sumStat>
      <txt>
        Fresh frozen and tinned camel, rabbit, pork etc. meat
      </txt>
      <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="V2810" name="CHMEAT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="294" EndPos="301" width="8" RecSegNo="1"/>
      <labl>
        Chicken meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="31.2000012397766" max="66040"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        667
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        464291.677
      </sumStat>
      <sumStat type="invd">
        7246
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4261253.919
      </sumStat>
      <sumStat type="min">
        31.2
      </sumStat>
      <sumStat type="max">
        66040
      </sumStat>
      <sumStat type="mean">
        950.45
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        985.404
      </sumStat>
      <sumStat type="stdev">
        3055.129
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2720.463
      </sumStat>
      <txt>
        Fresh frozen and tinned chicken, turkey, birds etc. meat
      </txt>
      <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="V2811" name="LMEAT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="302" EndPos="308" width="7" 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>
      <valrng>
        <range UNITS="REAL" min="52" max="6136"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        622
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        414209.448
      </sumStat>
      <sumStat type="invd">
        7291
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4311336.147
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        6136
      </sumStat>
      <sumStat type="mean">
        517.86
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        541.73
      </sumStat>
      <sumStat type="stdev">
        497.986
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        499.194
      </sumStat>
      <txt>
        Fresh and frozen luncheon, tinned and others meat
      </txt>
      <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="V2812" name="MEATEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="309" EndPos="317" width="9" 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="629980"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6747
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4057583.022
      </sumStat>
      <sumStat type="invd">
        1166
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        667962.573
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        629980
      </sumStat>
      <sumStat type="mean">
        1280.888
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1309.186
      </sumStat>
      <sumStat type="stdev">
        7831.349
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6432.825
      </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="V2813" name="MEATOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="318" EndPos="321" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Meat and Poultry
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2814" name="FISH" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="322" EndPos="328" width="7" RecSegNo="1"/>
      <labl>
        Fish expenditures
      </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="6084"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1824
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        965951.079
      </sumStat>
      <sumStat type="invd">
        6089
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3759594.516
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        6084
      </sumStat>
      <sumStat type="mean">
        420.868
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        442.816
      </sumStat>
      <sumStat type="stdev">
        461.182
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        478.437
      </sumStat>
      <txt>
        Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
      </txt>
      <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="V2815" name="SEAF" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="329" EndPos="332" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Fresh, frozen and proceed seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2816" name="FSHSEAEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="333" EndPos="339" width="7" 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="6084"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1824
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        965951.079
      </sumStat>
      <sumStat type="invd">
        6089
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3759594.516
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        6084
      </sumStat>
      <sumStat type="mean">
        420.868
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        442.816
      </sumStat>
      <sumStat type="stdev">
        461.182
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        478.437
      </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="V2817" name="FSHSEAOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="340" EndPos="343" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Fish and Seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2818" name="MILK" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="344" EndPos="351" width="8" RecSegNo="1"/>
      <labl>
        Milk expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.342586090788245" max="11648"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4686
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2917968.985
      </sumStat>
      <sumStat type="invd">
        3227
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1807576.61
      </sumStat>
      <sumStat type="min">
        0.343
      </sumStat>
      <sumStat type="max">
        11648
      </sumStat>
      <sumStat type="mean">
        641.562
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        703.839
      </sumStat>
      <sumStat type="stdev">
        616.463
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        676.561
      </sumStat>
      <txt>
        Fresh, powder, condensed and infant powder milk expenses
      </txt>
      <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="V2819" name="YOGH" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="352" EndPos="355" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2820" name="CHES" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="356" EndPos="363" width="8" RecSegNo="1"/>
      <labl>
        Cheese expenditures
      </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="12480"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        927
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        739216.752
      </sumStat>
      <sumStat type="invd">
        6986
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3986328.843
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        12480
      </sumStat>
      <sumStat type="mean">
        265.211
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        270.367
      </sumStat>
      <sumStat type="stdev">
        545.105
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        437.527
      </sumStat>
      <txt>
        Processed, home made, tinned etc. cheese
      </txt>
      <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="V2821" name="EGG" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="364" EndPos="370" width="7" RecSegNo="1"/>
      <labl>
        Eggs expenditures
      </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="2496"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1486
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1039240.648
      </sumStat>
      <sumStat type="invd">
        6427
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3686304.947
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        2496
      </sumStat>
      <sumStat type="mean">
        263.636
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        269.03
      </sumStat>
      <sumStat type="stdev">
        209.7
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        215.94
      </sumStat>
      <txt>
        Eggs and wholly made egg products
      </txt>
      <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="V2822" name="DAIRYEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="371" EndPos="378" 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="0.342586090788245" max="13936"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4937
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3058006.097
      </sumStat>
      <sumStat type="invd">
        2976
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1667539.498
      </sumStat>
      <sumStat type="min">
        0.343
      </sumStat>
      <sumStat type="max">
        13936
      </sumStat>
      <sumStat type="mean">
        738.095
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        828.392
      </sumStat>
      <sumStat type="stdev">
        761.634
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        836.093
      </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="V2823" name="DAIRYOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="379" EndPos="382" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Dairy Products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2824" name="OOIL" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="383" EndPos="386" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Olive oil
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2825" name="OIL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="387" EndPos="394" width="8" RecSegNo="1"/>
      <labl>
        Other oils expenditures
      </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="12480"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7063
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4236992.456
      </sumStat>
      <sumStat type="invd">
        850
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        488553.139
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        12480
      </sumStat>
      <sumStat type="mean">
        413.39
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        406.432
      </sumStat>
      <sumStat type="stdev">
        409.394
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        371.767
      </sumStat>
      <txt>
        Corn, sunflower, soya etc
      </txt>
      <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="V2826" name="BUT" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="395" EndPos="401" width="7" 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>
      <valrng>
        <range min="26" max="8840"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        376
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        211614.129
      </sumStat>
      <sumStat type="invd">
        7537
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4513931.466
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        8840
      </sumStat>
      <sumStat type="mean">
        500.293
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        489.511
      </sumStat>
      <sumStat type="stdev">
        570.654
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        460.838
      </sumStat>
      <txt>
        Butter, margarine, ghee, ...
      </txt>
      <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="V2827" name="FAT" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="402" EndPos="405" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Animal and vegetable fats and other edible
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2828" name="OILFATEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="406" EndPos="413" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Oil &amp; Fats
      </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="16120"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7130
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4264698.56
      </sumStat>
      <sumStat type="invd">
        783
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        460847.035
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        16120
      </sumStat>
      <sumStat type="mean">
        435.889
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        428.081
      </sumStat>
      <sumStat type="stdev">
        464.87
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        413.391
      </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="V2829" name="OILFATOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="414" EndPos="417" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Oil &amp; 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Oil &amp; Fats
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2830" name="FRUITEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="418" EndPos="425" 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="4.79620522260666" max="10400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4131
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2606409.114
      </sumStat>
      <sumStat type="invd">
        3782
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2119136.481
      </sumStat>
      <sumStat type="min">
        4.796
      </sumStat>
      <sumStat type="max">
        10400
      </sumStat>
      <sumStat type="mean">
        393.558
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        416.557
      </sumStat>
      <sumStat type="stdev">
        508.203
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        536.428
      </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="V2831" name="FRUITOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="426" EndPos="429" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Fruits
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2832" name="VEGEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="430" EndPos="437" 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="26" max="42640"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7709
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4602566.2
      </sumStat>
      <sumStat type="invd">
        204
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122979.395
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        42640
      </sumStat>
      <sumStat type="mean">
        1096.503
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1096.487
      </sumStat>
      <sumStat type="stdev">
        1119.213
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1094.421
      </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="V2833" name="VEGOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="438" EndPos="441" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Vegetables
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2834" name="SUGAREXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="442" EndPos="449" 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="1.02775824815035" max="91000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7676
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4598306.069
      </sumStat>
      <sumStat type="invd">
        237
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        127239.526
      </sumStat>
      <sumStat type="min">
        1.028
      </sumStat>
      <sumStat type="max">
        91000
      </sumStat>
      <sumStat type="mean">
        572.654
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        577.115
      </sumStat>
      <sumStat type="stdev">
        1273.364
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        980.673
      </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="V2835" name="SUGAROWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="450" EndPos="453" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Sugar and Jam
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2836" name="SPICEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="454" EndPos="461" 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="0.126829268410802" max="13166.400000155"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7480
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4487117.603
      </sumStat>
      <sumStat type="invd">
        433
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        238427.992
      </sumStat>
      <sumStat type="min">
        0.127
      </sumStat>
      <sumStat type="max">
        13166.4
      </sumStat>
      <sumStat type="mean">
        231.212
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        236.147
      </sumStat>
      <sumStat type="stdev">
        315.29
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        320.077
      </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="V2837" name="SPICOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="462" EndPos="465" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on Own-Produced Spices
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2838" name="BEVEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="466" EndPos="473" 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="0.913562908768654" max="16432"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7689
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4592467.32
      </sumStat>
      <sumStat type="invd">
        224
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        133078.275
      </sumStat>
      <sumStat type="min">
        0.914
      </sumStat>
      <sumStat type="max">
        16432
      </sumStat>
      <sumStat type="mean">
        290.895
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        288.762
      </sumStat>
      <sumStat type="stdev">
        345.692
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        317.419
      </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="V2839" name="BEVOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="474" EndPos="477" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Expenses on own-Produced Beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2840" name="OTHFEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="478" EndPos="481" width="4" 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">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Includes all other purchased food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2841" name="OTHFOWN" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="482" EndPos="485" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Includes all other own produced food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2842" name="TOTPFOOD" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="486" EndPos="494" 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="26" max="633921.600009918"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7857
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4688601.467
      </sumStat>
      <sumStat type="invd">
        56
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        36944.128
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        633921.6
      </sumStat>
      <sumStat type="mean">
        6676.548
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6820.68
      </sumStat>
      <sumStat type="stdev">
        9674.759
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8426.116
      </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
----------------------------------
An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2843" name="TOTOWNP" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="495" EndPos="498" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Food and beverage own produced products, consumed or given away
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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
----------------------------------
An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2844" name="TOTGIKD" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="499" EndPos="502" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Food and beverage products received from other households
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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 datasets, this category may be aggregated with purchased food or own produced food


COUNTRY SPECIFIC NOTES
----------------------------------
An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2845" name="ALCOEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="503" EndPos="510" width="8" 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 UNITS="REAL" min="15.6000006198883" max="31200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1767
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        993879.853
      </sumStat>
      <sumStat type="invd">
        6146
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3731665.742
      </sumStat>
      <sumStat type="min">
        15.6
      </sumStat>
      <sumStat type="max">
        31200
      </sumStat>
      <sumStat type="mean">
        367.849
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        401.052
      </sumStat>
      <sumStat type="stdev">
        900.62
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1167.574
      </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="V2846" name="ALC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="511" EndPos="517" width="7" RecSegNo="1"/>
      <labl>
        Alcoholic expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range min="52" max="4420"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        55
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        19779.652
      </sumStat>
      <sumStat type="invd">
        7858
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4705765.943
      </sumStat>
      <sumStat type="min">
        52
      </sumStat>
      <sumStat type="max">
        4420
      </sumStat>
      <sumStat type="mean">
        641.491
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        680.953
      </sumStat>
      <sumStat type="stdev">
        803.185
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        799.839
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, spirits, wine, beer..
      </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="V2847" name="TOB" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="518" EndPos="525" width="8" RecSegNo="1"/>
      <labl>
        Tobacco expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15.6000006198883" max="31200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1744
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        985402.681
      </sumStat>
      <sumStat type="invd">
        6169
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3740142.914
      </sumStat>
      <sumStat type="min">
        15.6
      </sumStat>
      <sumStat type="max">
        31200
      </sumStat>
      <sumStat type="mean">
        352.47
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        390.833
      </sumStat>
      <sumStat type="stdev">
        890.429
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1164.417
      </sumStat>
      <txt>
        Expenses on tobacco, cigarettes, 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="V2848" name="APPEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="526" EndPos="533" 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="0.5" max="10813"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7751
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4640946.888
      </sumStat>
      <sumStat type="invd">
        162
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        84598.707
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        10813
      </sumStat>
      <sumStat type="mean">
        403.832
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        405.277
      </sumStat>
      <sumStat type="stdev">
        416.227
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        423.757
      </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="V2849" name="CLOTH" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="534" EndPos="541" 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="1" max="10500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4185109.81
      </sumStat>
      <sumStat type="invd">
        1001
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        540435.785
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10500
      </sumStat>
      <sumStat type="mean">
        272.752
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        277.684
      </sumStat>
      <sumStat type="stdev">
        310.402
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        313.811
      </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="V2850" name="MCLO" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="542" EndPos="548" width="7" 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="3500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3290
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1873771.112
      </sumStat>
      <sumStat type="invd">
        4623
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2851774.483
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        3500
      </sumStat>
      <sumStat type="mean">
        108.666
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        98.434
      </sumStat>
      <sumStat type="stdev">
        191.987
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        178.182
      </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="V2851" name="CHAR" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="549" EndPos="555" 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="1680"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2090
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1109862.811
      </sumStat>
      <sumStat type="invd">
        5823
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3615682.785
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1680
      </sumStat>
      <sumStat type="mean">
        40.347
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        40.904
      </sumStat>
      <sumStat type="stdev">
        78.938
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        86.084
      </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="V2852" name="FOOTW" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="556" EndPos="562" 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="0.5" max="1620"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7606
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4536606.123
      </sumStat>
      <sumStat type="invd">
        307
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        188939.472
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        1620
      </sumStat>
      <sumStat type="mean">
        90.66
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        92.252
      </sumStat>
      <sumStat type="stdev">
        92.489
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        94.947
      </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="V2853" name="SCHCLTH" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="563" EndPos="568" width="6" 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="1" max="600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3474
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2148293.011
      </sumStat>
      <sumStat type="invd">
        4439
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2577252.584
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        600
      </sumStat>
      <sumStat type="mean">
        32.657
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        32.762
      </sumStat>
      <sumStat type="stdev">
        33.681
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        33.751
      </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="V2854" name="HOUSEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="569" EndPos="577" 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="4" max="122472"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7763
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4650523.888
      </sumStat>
      <sumStat type="invd">
        150
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        75021.707
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        122472
      </sumStat>
      <sumStat type="mean">
        1519.436
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1604.107
      </sumStat>
      <sumStat type="stdev">
        2838.648
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3488.06
      </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="V2855" name="ARHOUS" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="578" EndPos="585" 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 min="15" max="42000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        384
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        294765.396
      </sumStat>
      <sumStat type="invd">
        7529
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4430780.199
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        42000
      </sumStat>
      <sumStat type="mean">
        1690.021
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1836.246
      </sumStat>
      <sumStat type="stdev">
        2938.535
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3380.628
      </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
----------------------------------
The rent amounts provided in the expenditure data file were not categorized by type of rent (actual/imputed).
The type of rent paid whether actual or imputed was identified using the dwelling type of tenure variable provided in the household data file (h4).]]>
      </notes>
    </var>
    <var ID="V2856" name="IMPREN" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="586" EndPos="594" width="9" 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 UNITS="REAL" min="2" max="100400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5612
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3085920.593
      </sumStat>
      <sumStat type="invd">
        2301
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1639625.002
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        100400
      </sumStat>
      <sumStat type="mean">
        706.418
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        720.659
      </sumStat>
      <sumStat type="stdev">
        1991.549
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2435.715
      </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
----------------------------------
The rent amounts provided in the expenditure data file were not categorized by type of rent (actual/imputed).
The type of rent paid whether actual or imputed was identified using the dwelling type of tenure variable provided in the household data file (h4).]]>
      </notes>
    </var>
    <var ID="V2857" name="REPDW" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="595" EndPos="602" 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="6" max="30000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        824
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        530601.78
      </sumStat>
      <sumStat type="invd">
        7089
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4194943.815
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        955.99
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        955.356
      </sumStat>
      <sumStat type="stdev">
        2191.987
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2073.14
      </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="V2858" name="WDWE" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="603" EndPos="611" width="9" 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="0.18" max="120428"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7397
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4433251.382
      </sumStat>
      <sumStat type="invd">
        516
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        292294.213
      </sumStat>
      <sumStat type="min">
        0.18
      </sumStat>
      <sumStat type="max">
        120428
      </sumStat>
      <sumStat type="mean">
        458.706
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        512.506
      </sumStat>
      <sumStat type="stdev">
        1826.241
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2446.279
      </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="V2859" name="EDWE" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="612" EndPos="619" 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="2.40000003576279" max="13620"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6864
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4041481.695
      </sumStat>
      <sumStat type="invd">
        1049
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        684063.9
      </sumStat>
      <sumStat type="min">
        2.4
      </sumStat>
      <sumStat type="max">
        13620
      </sumStat>
      <sumStat type="mean">
        437.24
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        474.034
      </sumStat>
      <sumStat type="stdev">
        502.866
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        599.754
      </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="V2860" name="EQUIPEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="620" EndPos="627" width="8" RecSegNo="1"/>
      <labl>
        Expenses on furniture &amp; 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="1.5" max="19595"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725279.289
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        266.306
      </sumStat>
      <sumStat type="min">
        1.5
      </sumStat>
      <sumStat type="max">
        19595
      </sumStat>
      <sumStat type="mean">
        462.898
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        483.58
      </sumStat>
      <sumStat type="stdev">
        708.125
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        787.16
      </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="V2861" name="HSFUR" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="628" EndPos="635" width="8" 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 UNITS="REAL" min="1" max="15770"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1443
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        807758.097
      </sumStat>
      <sumStat type="invd">
        6470
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3917787.498
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        15770
      </sumStat>
      <sumStat type="mean">
        200.064
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        228.935
      </sumStat>
      <sumStat type="stdev">
        677.695
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        787.624
      </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="V2862" name="FURREP" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="636" EndPos="639" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Furniture and furnishings repair
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <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="V2863" name="HSTEX" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="640" EndPos="646" width="7" 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 UNITS="REAL" min="0.1" max="2000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2598762.749
      </sumStat>
      <sumStat type="invd">
        3507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2126782.846
      </sumStat>
      <sumStat type="min">
        0.1
      </sumStat>
      <sumStat type="max">
        2000
      </sumStat>
      <sumStat type="mean">
        76.962
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        79.514
      </sumStat>
      <sumStat type="stdev">
        97.797
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        108.552
      </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="V2864" name="MHAPL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="647" EndPos="654" width="8" 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="6" max="15000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        279
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        154803.735
      </sumStat>
      <sumStat type="invd">
        7634
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4570741.86
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        1146.545
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1112.415
      </sumStat>
      <sumStat type="stdev">
        1174.571
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1142.155
      </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="V2865" name="SHAPL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="655" EndPos="661" width="7" 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="1" max="1100"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        233202.845
      </sumStat>
      <sumStat type="invd">
        7507
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4492342.75
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1100
      </sumStat>
      <sumStat type="mean">
        168.207
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        160.33
      </sumStat>
      <sumStat type="stdev">
        165.017
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        161.376
      </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="V2866" name="RAPPL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="662" EndPos="668" width="7" 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 UNITS="REAL" min="1.5" max="8625"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        260
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        192193.722
      </sumStat>
      <sumStat type="invd">
        7653
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4533351.873
      </sumStat>
      <sumStat type="min">
        1.5
      </sumStat>
      <sumStat type="max">
        8625
      </sumStat>
      <sumStat type="mean">
        148.315
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        119.904
      </sumStat>
      <sumStat type="stdev">
        565.858
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        446.006
      </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="V2867" name="HUST" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="669" EndPos="675" 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="0.5" max="1215"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4954
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2858984.629
      </sumStat>
      <sumStat type="invd">
        2959
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1866560.966
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        1215
      </sumStat>
      <sumStat type="mean">
        48.247
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        49.381
      </sumStat>
      <sumStat type="stdev">
        66.057
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        66.481
      </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="V2868" name="MHOPE" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="676" EndPos="679" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Major tools and equipment for house and garden,
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <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="V2869" name="SHOPE" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="680" EndPos="686" width="7" 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 UNITS="REAL" min="0.5" max="1051"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4553
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2516693.657
      </sumStat>
      <sumStat type="invd">
        3360
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2208851.938
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        1051
      </sumStat>
      <sumStat type="mean">
        34.122
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        31.567
      </sumStat>
      <sumStat type="stdev">
        51.688
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        49.421
      </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="V2870" name="HSGS" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="687" EndPos="693" width="7" 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="1.5" max="8710"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7912
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725279.289
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        266.306
      </sumStat>
      <sumStat type="min">
        1.5
      </sumStat>
      <sumStat type="max">
        8710
      </sumStat>
      <sumStat type="mean">
        279.77
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        304.791
      </sumStat>
      <sumStat type="stdev">
        333.193
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        416.139
      </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="V2871" name="MEDEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="694" EndPos="701" width="8" 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="0.5" max="13556"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6958
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4224134.966
      </sumStat>
      <sumStat type="invd">
        955
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        501410.629
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        13556
      </sumStat>
      <sumStat type="mean">
        265.647
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        279.41
      </sumStat>
      <sumStat type="stdev">
        464.296
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        513.326
      </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="V2872" name="PMEDP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="702" EndPos="709" width="8" 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="0.5" max="10800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6552
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4017668.945
      </sumStat>
      <sumStat type="invd">
        1361
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        707876.65
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        10800
      </sumStat>
      <sumStat type="mean">
        119.502
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        129.019
      </sumStat>
      <sumStat type="stdev">
        229.363
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        293.957
      </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="V2873" name="TAEQ" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="710" EndPos="716" width="7" 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="3" max="4047"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        368
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        258754.284
      </sumStat>
      <sumStat type="invd">
        7545
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4466791.311
      </sumStat>
      <sumStat type="min">
        3
      </sumStat>
      <sumStat type="max">
        4047
      </sumStat>
      <sumStat type="mean">
        115.052
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        126.997
      </sumStat>
      <sumStat type="stdev">
        338.477
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        395.084
      </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="V2874" name="MEDSERV" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="717" EndPos="723" width="7" 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="6980"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5783
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3571638.085
      </sumStat>
      <sumStat type="invd">
        2130
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1153907.51
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        6980
      </sumStat>
      <sumStat type="mean">
        176.907
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        176.124
      </sumStat>
      <sumStat type="stdev">
        354.823
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        340.911
      </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="V2875" name="MEDABR" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="724" EndPos="727" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2876" name="TRANEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="728" EndPos="736" 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="1" max="181700"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6241
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3810819.158
      </sumStat>
      <sumStat type="invd">
        1672
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        914726.438
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        181700
      </sumStat>
      <sumStat type="mean">
        700.88
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        851.644
      </sumStat>
      <sumStat type="stdev">
        3444.187
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3836.506
      </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="V2877" name="TRVEH" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="737" EndPos="745" width="9" 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="1" max="180000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        284
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        156492.59
      </sumStat>
      <sumStat type="invd">
        7629
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4569053.005
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        180000
      </sumStat>
      <sumStat type="mean">
        4419.694
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6533.318
      </sumStat>
      <sumStat type="stdev">
        13556.67
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14291.965
      </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="V2878" name="OTEQ" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="746" EndPos="753" width="8" 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 UNITS="REAL" min="2" max="40100"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        348255.007
      </sumStat>
      <sumStat type="invd">
        7353
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4377290.588
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        40100
      </sumStat>
      <sumStat type="mean">
        1180.311
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1478.434
      </sumStat>
      <sumStat type="stdev">
        2563.716
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2567.756
      </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="V2879" name="TRSERV" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="754" EndPos="761" 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="1" max="79120"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6145
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3745367.368
      </sumStat>
      <sumStat type="invd">
        1768
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        980178.228
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        79120
      </sumStat>
      <sumStat type="mean">
        400.004
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        456.076
      </sumStat>
      <sumStat type="stdev">
        1176.43
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1780.326
      </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="V2880" name="SCHSERV" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="762" EndPos="765" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        School Transportation services expenditures
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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, 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="V2881" name="COMMEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="766" EndPos="772" width="7" 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 UNITS="REAL" min="1" max="6000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1631
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1030911.002
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3694634.593
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        293.575
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        309.637
      </sumStat>
      <sumStat type="stdev">
        499.596
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        532.49
      </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="V2882" name="PTTSERV" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="773" EndPos="779" width="7" 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 UNITS="REAL" min="5" max="6000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        634
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        406364.868
      </sumStat>
      <sumStat type="invd">
        7279
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4319180.727
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        453.097
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        470.037
      </sumStat>
      <sumStat type="stdev">
        661.639
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        723.108
      </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="V2883" name="TTEQP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="780" EndPos="786" width="7" 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 UNITS="REAL" min="1" max="3600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1120
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        684115.872
      </sumStat>
      <sumStat type="invd">
        6793
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4041429.723
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        3600
      </sumStat>
      <sumStat type="mean">
        171.034
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        187.397
      </sumStat>
      <sumStat type="stdev">
        282.253
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        288.723
      </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="V2884" name="CULTEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="787" EndPos="794" width="8" 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 UNITS="REAL" min="1" max="64872"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6151
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3666639.208
      </sumStat>
      <sumStat type="invd">
        1762
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1058906.387
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        64872
      </sumStat>
      <sumStat type="mean">
        602.986
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        579.626
      </sumStat>
      <sumStat type="stdev">
        1889.353
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1743.345
      </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="V2885" name="CULDUR" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="795" EndPos="802" width="8" 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="1" max="10000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        754
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        466442.855
      </sumStat>
      <sumStat type="invd">
        7159
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4259102.74
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        447.764
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        479.202
      </sumStat>
      <sumStat type="stdev">
        580.783
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        746.254
      </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="V2886" name="CULEQP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="803" EndPos="810" width="8" 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 UNITS="REAL" min="1" max="64800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3881
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2181608.753
      </sumStat>
      <sumStat type="invd">
        4032
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2543936.843
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        64800
      </sumStat>
      <sumStat type="mean">
        713.525
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        714.839
      </sumStat>
      <sumStat type="stdev">
        2261.594
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2124.405
      </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="V2887" name="CULSER" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="811" EndPos="818" width="8" 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 UNITS="REAL" min="0.5" max="10620"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2865
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1722801.16
      </sumStat>
      <sumStat type="invd">
        5048
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3002744.436
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        10620
      </sumStat>
      <sumStat type="mean">
        135.992
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        122.689
      </sumStat>
      <sumStat type="stdev">
        435.567
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        368.695
      </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="V2888" name="SCHCUL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="819" EndPos="825" width="7" 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 UNITS="REAL" min="0.6" max="1600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3408
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2118465.933
      </sumStat>
      <sumStat type="invd">
        4505
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2607079.662
      </sumStat>
      <sumStat type="min">
        0.6
      </sumStat>
      <sumStat type="max">
        1600
      </sumStat>
      <sumStat type="mean">
        62.366
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        61.786
      </sumStat>
      <sumStat type="stdev">
        95.996
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        94.199
      </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="V2889" name="EDUCEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="826" EndPos="834" width="9" 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 UNITS="REAL" min="1" max="300000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4359
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2678542.855
      </sumStat>
      <sumStat type="invd">
        3554
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2047002.74
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        472.501
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        694.601
      </sumStat>
      <sumStat type="stdev">
        4644.57
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7529.341
      </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="V2890" name="PREDUC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="835" EndPos="841" width="7" 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 UNITS="REAL" min="1" max="6650"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3854
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2350503.988
      </sumStat>
      <sumStat type="invd">
        4059
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2375041.607
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        6650
      </sumStat>
      <sumStat type="mean">
        169.99
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        201.911
      </sumStat>
      <sumStat type="stdev">
        320.34
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        379.893
      </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="V2891" name="SEDUC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="842" EndPos="849" width="8" 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 UNITS="REAL" min="4" max="21000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1329
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        852188.385
      </sumStat>
      <sumStat type="invd">
        6584
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3873357.21
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        21000
      </sumStat>
      <sumStat type="mean">
        410.51
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        514.648
      </sumStat>
      <sumStat type="stdev">
        882.696
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1234.943
      </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="V2892" name="TEDUC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="850" EndPos="858" width="9" 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="15" max="300000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        522
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        338341.808
      </sumStat>
      <sumStat type="invd">
        7391
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4387203.787
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        1602.743
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2762.578
      </sumStat>
      <sumStat type="stdev">
        13194.979
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        20871.126
      </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="V2893" name="OEDUC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="859" EndPos="866" width="8" 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="2" max="10000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        94
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        60281.157
      </sumStat>
      <sumStat type="invd">
        7819
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4665264.438
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        10000
      </sumStat>
      <sumStat type="mean">
        237.128
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        209.904
      </sumStat>
      <sumStat type="stdev">
        1031.909
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        796.418
      </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="V2894" name="EDUCABR" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="867" EndPos="870" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2895" name="RESTOEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="871" EndPos="878" width="8" 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 UNITS="REAL" min="10" max="21600.7996826172"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3561
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2133241.642
      </sumStat>
      <sumStat type="invd">
        4352
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2592303.953
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        21600.8
      </sumStat>
      <sumStat type="mean">
        768.452
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        813.811
      </sumStat>
      <sumStat type="stdev">
        1013.745
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1007.226
      </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="V2896" name="CATSER" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="879" EndPos="886" width="8" 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 UNITS="REAL" min="15.6000006198883" max="21600.7996826172"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3486
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2096455.518
      </sumStat>
      <sumStat type="invd">
        4427
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2629090.077
      </sumStat>
      <sumStat type="min">
        15.6
      </sumStat>
      <sumStat type="max">
        21600.8
      </sumStat>
      <sumStat type="mean">
        763.801
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        807.633
      </sumStat>
      <sumStat type="stdev">
        978.788
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        972.686
      </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="V2897" name="SCHRST" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="887" EndPos="890" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Meals, snacks, and drinks provided in school restaurants
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2898" name="ACCOM" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="891" EndPos="897" width="7" 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="6" max="9270"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        179
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        94693.64
      </sumStat>
      <sumStat type="invd">
        7734
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4630851.955
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        9270
      </sumStat>
      <sumStat type="mean">
        412.559
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        452.923
      </sumStat>
      <sumStat type="stdev">
        1108.692
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1206.152
      </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="V2899" name="MISCEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="898" EndPos="905" width="8" 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="0.5" max="13625"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7476
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4494878.569
      </sumStat>
      <sumStat type="invd">
        437
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        230667.026
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        13625
      </sumStat>
      <sumStat type="mean">
        354.295
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        366.095
      </sumStat>
      <sumStat type="stdev">
        488.125
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        506.195
      </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="V2900" name="PCEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="906" EndPos="913" 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="0.5" max="13555"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7447
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4481522.529
      </sumStat>
      <sumStat type="invd">
        466
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        244023.066
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        13555
      </sumStat>
      <sumStat type="mean">
        318.636
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        326.661
      </sumStat>
      <sumStat type="stdev">
        445.66
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        456.333
      </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="V2901" name="SPEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="914" EndPos="917" width="4" RecSegNo="1"/>
      <labl>
        Social protection 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2902" name="FEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="918" EndPos="924" width="7" 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 min="130" max="2600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15199.98
      </sumStat>
      <sumStat type="invd">
        7892
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4710345.616
      </sumStat>
      <sumStat type="min">
        130
      </sumStat>
      <sumStat type="max">
        2600
      </sumStat>
      <sumStat type="mean">
        860.714
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        813.758
      </sumStat>
      <sumStat type="stdev">
        679.026
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        654.975
      </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="V2903" name="FEES" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="925" EndPos="931" width="7" 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 UNITS="REAL" min="1" max="3090"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1321570.056
      </sumStat>
      <sumStat type="invd">
        5746
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3403975.539
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        3090
      </sumStat>
      <sumStat type="mean">
        118.943
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        128.064
      </sumStat>
      <sumStat type="stdev">
        184.827
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        221.336
      </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="V2904" name="PTRANSF" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="932" EndPos="935" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2905" name="TOTFOOD" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="936" EndPos="944" 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="26" max="634389.600009918"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7865
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4692787.392
      </sumStat>
      <sumStat type="invd">
        48
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        32758.203
      </sumStat>
      <sumStat type="min">
        26
      </sumStat>
      <sumStat type="max">
        634389.6
      </sumStat>
      <sumStat type="mean">
        7008.296
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        7175.398
      </sumStat>
      <sumStat type="stdev">
        9767.739
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8548.784
      </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
----------------------------------
All amounts were provided in SDG.

Weekly and monthly amounts were annualized by multiplying them by 52 and 12, respectively.

An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.

Items grouped under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V2906" name="TNFOOND" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="945" EndPos="953" 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="6" max="302265"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        302265
      </sumStat>
      <sumStat type="mean">
        3796.841
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4149.259
      </sumStat>
      <sumStat type="stdev">
        5443.455
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7450.777
      </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
----------------------------------
All amounts were provided in SDG.

Weekly and monthly amounts were annualized by multiplying them by 52 and 12, respectively.

An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.

Items grouped under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V2907" name="TDUR" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="954" EndPos="962" width="9" 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 UNITS="REAL" min="1" max="180000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2901
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1720823.051
      </sumStat>
      <sumStat type="invd">
        5012
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3004722.544
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        180000
      </sumStat>
      <sumStat type="mean">
        839.463
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1025.166
      </sumStat>
      <sumStat type="stdev">
        4572.031
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4892.347
      </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="V2908" name="THOUS" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="963" EndPos="971" 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="2" max="100400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        5996
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3380685.989
      </sumStat>
      <sumStat type="invd">
        1917
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1344859.606
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        100400
      </sumStat>
      <sumStat type="mean">
        769.41
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        817.928
      </sumStat>
      <sumStat type="stdev">
        2078.912
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2551.656
      </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="V2909" name="TOTEXP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="972" EndPos="980" width="9" 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="65" max="637516.600009918"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4725545.595
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        65
      </sumStat>
      <sumStat type="max">
        637516.6
      </sumStat>
      <sumStat type="mean">
        11316.91
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        11875.084
      </sumStat>
      <sumStat type="stdev">
        12742.749
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        13189.128
      </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
----------------------------------
All amounts were provided in SDG.

Weekly and monthly amounts were annualized by multiplying them by 52 and 12, respectively.

An attempt to estimate an imputed amount for the household own stock, own produced and gifts received was conducted using the unit of measurement, the estimated unit price and the quantity used of each product type, provided in the dataset.
The estimation was performed on both the product and the household levels. Inconsistencies and discrepancies between the average unit price and the unit type were first detected which led to primarily question the credibility of the estimates of the unit prices provided. The doubts in the quality of the unit prices data was confirmed when the Gini coefficient computed using the annual expenditure that includes the imputed amounts of own stock, own produced and gifts received exceeded 90%. While that computed using the total expenditure on only purchased items was equal to 38.27% compared to 35.29% derived from the World Bank tool of poverty indicators (PovCal).
Accordingly, expenditure amounts on purchased products only were disseminated in the harmonized data file.

Items grouped under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V2910" name="LUMP" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="981" EndPos="988" width="8" 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 UNITS="REAL" min="1" max="30000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        601
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        315175.017
      </sumStat>
      <sumStat type="invd">
        7312
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4410370.578
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        30000
      </sumStat>
      <sumStat type="mean">
        1311.761
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1421.942
      </sumStat>
      <sumStat type="stdev">
        2619.097
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2697.302
      </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="V2911" name="INTER" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="989" EndPos="992" width="4" 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 wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Interest paid on loans for the purchase of consumption or durable goods
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </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="V2912" name="TAX" wgt-var="V2708" files="F15" dcml="2" intrvl="discrete">
      <location StartPos="993" EndPos="996" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        7913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4725545.595
      </sumStat>
      <txt>
        Taxes on consumption and durable goods, property taxes etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <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="V2913" name="GWAG" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="997" EndPos="1005" width="9" RecSegNo="1"/>
      <labl>
        Gross wages and salaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="480000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3429
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2149189.129
      </sumStat>
      <sumStat type="invd">
        4484
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2576356.466
      </sumStat>
      <sumStat type="min">
        4
      </sumStat>
      <sumStat type="max">
        480000
      </sumStat>
      <sumStat type="mean">
        5748.917
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6534.542
      </sumStat>
      <sumStat type="stdev">
        10966.686
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        10275.783
      </sumStat>
      <txt>
        Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), gross of employee social insurance contributions/taxes but net of employer social insurance contributions/taxes.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When employer-provided sick pay can not be separated, it is included in the wages. 
In case there is no precision about whether the wage is net or gross we classify it under gross wage
If incomes are not available at the individual level, the variable is constructed directly from household level original information.


COUNTRY SPECIFIC NOTES
----------------------------------
Annual income from salaries and payments (SDG)]]>
      </notes>
    </var>
    <var ID="V2914" name="SINC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="1006" EndPos="1015" width="10" RecSegNo="1"/>
      <labl>
        Self-employment income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="1735000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6027
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3455548.031
      </sumStat>
      <sumStat type="invd">
        1886
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1269997.565
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1735000
      </sumStat>
      <sumStat type="mean">
        5106.251
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5043.541
      </sumStat>
      <sumStat type="stdev">
        25342.57
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        18047.278
      </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
----------------------------------
Annual income from crops (SDG)
Annual income from horticulture products (SDG)
Annual income from animal sales (SDG)
Annual income from animal products (SDG)
Annual income from poultry and its products  (SDG)
Annual income from fish and its products  (SDG)
Annual income from forestry products (SDG)
Annual income from other agricultural activities (SDG)
Annual income from transportation (SDG)
Annual income from industrial activities (SDG)
Annual income from trade (SDG)
Annual income from other non-agricultural sources (SDG)]]>
      </notes>
    </var>
    <var ID="V2915" name="RENTAL" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="1016" EndPos="1024" width="9" RecSegNo="1"/>
      <labl>
        Income less expenses from rentals
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="100000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        161
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        124288.147
      </sumStat>
      <sumStat type="invd">
        7752
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4601257.448
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        100000
      </sumStat>
      <sumStat type="mean">
        5336.242
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5858.435
      </sumStat>
      <sumStat type="stdev">
        11187.752
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        10990.013
      </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
----------------------------------
Annual income from rented estates (SDG)
Annual income from other rents (SDG)]]>
      </notes>
    </var>
    <var ID="V2916" name="TRANSF" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="1025" EndPos="1033" width="9" RecSegNo="1"/>
      <labl>
        Current transfers received
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="540000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        672441.164
      </sumStat>
      <sumStat type="invd">
        6728
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4053104.431
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        540000
      </sumStat>
      <sumStat type="mean">
        2222.974
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2448.765
      </sumStat>
      <sumStat type="stdev">
        16012.274
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11772.073
      </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
----------------------------------
Annual income from transfers from outside Sudan (SDG)
Annual income from transfers from inside Sudan (SDG)
Annual income from supports (SDG)]]>
      </notes>
    </var>
    <var ID="V2917" name="TOTDINC" wgt-var="V2708" files="F15" dcml="2" intrvl="contin">
      <location StartPos="1034" EndPos="1043" width="10" RecSegNo="1"/>
      <labl>
        Total disposable income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="1735392"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4714181.199
      </sumStat>
      <sumStat type="invd">
        28
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11364.396
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        1735392
      </sumStat>
      <sumStat type="mean">
        6846.134
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        7179.815
      </sumStat>
      <sumStat type="stdev">
        24416.658
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        18090.073
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2918" name="COUNTRY" wgt-var="V2921" files="F16" 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 individuals
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </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">
          48845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29199527.104
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V2919" name="YEAR" wgt-var="V2921" files="F16" 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="2009" max="2009"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2009
        </catValu>
        <catStat type="freq">
          48845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29199527.104
        </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="V2920" name="CASESER" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="22" width="15" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="110101011102003" max="631203012201999"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat 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
----------------------------------
3 Households were reported in the expenditure data file only, however no household or individual data were reported for those 3 households or their members. 
They were accordingly excluded from the harmonized data files.]]>
      </notes>
    </var>
    <var ID="V2921" name="HWEIGHT" wgt="wgt" files="F16" dcml="4" intrvl="contin">
      <location StartPos="23" EndPos="31" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="201.0833" max="1637.39"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        201.083
      </sumStat>
      <sumStat type="max">
        1637.39
      </sumStat>
      <sumStat type="mean">
        597.8
      </sumStat>
      <sumStat type="stdev">
        376.58
      </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
----------------------------------
Two weight variables were provided in the raw data; one in the household data file (weight) and the other in the expenditure data file (hhweight). Both were included in the harmonized data file and named HHWEIGHT and HHWEIGHT2, respectively. The survey documentations indicates that the 2 variables are identically weighing the sample, and one of them should always be used as a weighing coefficient since the collected sample is not self-weighted.]]>
      </notes>
    </var>
    <var ID="V2922" name="HWEIGHT2" wgt-var="V2921" files="F16" dcml="4" intrvl="contin">
      <location StartPos="32" EndPos="40" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="206.6979" max="1767.812"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        206.698
      </sumStat>
      <sumStat type="max">
        1767.812
      </sumStat>
      <sumStat type="mean">
        622.848
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        880.642
      </sumStat>
      <sumStat type="stdev">
        421.965
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        520.106
      </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
----------------------------------
Two weight variables were provided in the raw data; one in the household data file (weight) and the other in the expenditure data file (hhweight). Both were included in the harmonized data file and named HHWEIGHT and HHWEIGHT2, respectively. The survey documentations indicates that the 2 variables are identically weighing the sample, and one of them should always be used as a weighing coefficient since the collected sample is not self-weighted.]]>
      </notes>
    </var>
    <var ID="V2923" name="REG" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="63"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Northern
        </labl>
        <catStat type="freq">
          3291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710874.157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          River Nile
        </labl>
        <catStat type="freq">
          3179
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1165490.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Red Sea
        </labl>
        <catStat type="freq">
          2726
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1043393.993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Kassala
        </labl>
        <catStat type="freq">
          3185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1707848.925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Al Gadarif
        </labl>
        <catStat type="freq">
          3169
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1409478.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Khartoum
        </labl>
        <catStat type="freq">
          3335
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5455442.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Al Gezira
        </labl>
        <catStat type="freq">
          3201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3571342.935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          White Nile
        </labl>
        <catStat type="freq">
          3388
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1865933.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          Sinnar
        </labl>
        <catStat type="freq">
          3214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1307980.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Blue Nile
        </labl>
        <catStat type="freq">
          3364
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          892996.438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Northern Kordufan
        </labl>
        <catStat type="freq">
          2904
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2583760.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Southern Kordufan
        </labl>
        <catStat type="freq">
          4016
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1604704.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Northern Darfur
        </labl>
        <catStat type="freq">
          3488
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1711752.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Western Darfur
        </labl>
        <catStat type="freq">
          2854
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          936459.778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Southern Darfur
        </labl>
        <catStat type="freq">
          3531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3232067.965
        </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="V2924" name="RURURB" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" 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">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </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">
          33605
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18800009.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          15240
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10399517.917
        </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) 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="V2925" name="PNUM" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Person identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="28"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        48845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29199527.104
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7832
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4682564.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          7325
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4382075.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          6548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3917559.651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5496
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3296616.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          4378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2626115.707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          3260
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1955653.135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1372062.947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1589
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          941513.899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          951
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          562141.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          325604.986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          323
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188564.587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72450.645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          95
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53239.979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36502.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19320.397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13864.261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8990.258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6506.594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5270.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4459.113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1588.523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </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="V2926" name="PAGE" wgt-var="V2921" files="F16" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="95"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        48803
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29173302.384
      </sumStat>
      <sumStat type="invd">
        42
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        26224.72
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        22.669
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        22.676
      </sumStat>
      <sumStat type="stdev">
        18.738
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        18.677
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95"]]>
      </notes>
    </var>
    <var ID="V2927" name="PSEX" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" 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">
        48839
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29195042.666
      </sumStat>
      <sumStat type="invd">
        6
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4484.438
      </sumStat>
      <txt>
        Indicator for gender of individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          24762
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14792528.804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          24077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14402513.863
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4484.438
        </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="V2928" name="PMART" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" 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 12+ years
      </universe>
      <sumStat type="vald">
        31798
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        19044318.571
      </sumStat>
      <sumStat type="invd">
        17047
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10155208.534
      </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">
          13845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8313167.646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          15730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9415245.966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          535
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          332053.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          779769.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101619.164
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          17047
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10155208.534
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2929" name="PMART_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="53" 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 12+ years
      </universe>
      <sumStat type="vald">
        31798
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        19044318.571
      </sumStat>
      <sumStat type="invd">
        17047
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10155208.534
      </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">
          13845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8313167.646
        </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">
          15730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9415245.966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102462.366
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          535
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          332053.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          779769.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101619.164
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          17047
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10155208.534
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2930" name="PREL" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" 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">
        48833
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29193889.978
      </sumStat>
      <sumStat type="invd">
        12
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5637.126
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          6917
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4106234.937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          28125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16775620.438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/Mother (parents)
        </labl>
        <catStat type="freq">
          932
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          507253.761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          763434.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1400
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          906071.934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          2144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1356154.98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53573.844
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5637.126
        </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="V2931" name="PREL_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="57" 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">
        48833
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29193889.978
      </sumStat>
      <sumStat type="invd">
        12
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5637.126
      </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">
          7913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4725545.595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          6917
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4106234.937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/Daughter
        </labl>
        <catStat type="freq">
          28125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16775620.438
        </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">
          932
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          507253.761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          763434.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1400
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          906071.934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          596
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          396260.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          227306.953
        </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">
          264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          162275.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Brother/sister in law
        </labl>
        <catStat type="freq">
          329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          208886.122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Nephew/niece
        </labl>
        <catStat type="freq">
          611
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          361426.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53573.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5637.126
        </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="V2932" name="PFPRES" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" 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">
        43626
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26031112.163
      </sumStat>
      <sumStat type="invd">
        5219
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3168414.941
      </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">
          26746
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15835977.374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father is not a household member
        </labl>
        <catStat type="freq">
          16880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10195134.789
        </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">
          5219
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3168414.941
        </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 the parents related variables were created by ERF including the presence status. It is generated using the relationship to the 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 and for the head’s grandchildren if he/she has an ever married son/daughter or an in-law living in the household. 

In case of multiple spouses, the children of each spouse do not follow her in the order of data entry. Therefore, the mother characteristics in case of multiple spouses could not be generated. Since the head's children cannot be assigned to their mothers if the head has more than one spouse living the household. 

Similarly, the fathers' and mothers' characteristics could not be generated for the heads' grandchildren if the head has more than one ever married son/daughter and/or one in-law living in the household. Since the order of the data entry does not allow for a correct assignment of children to their corresponding parents.

Niece/Nephew, heads' brothers/sisters and heads' brothers/sisters in law are identified in the relationship to head variable (B2). However, the fathers' and mothers' characteristics could not be generated though for the heads' nieces/nephews, since the order of the data entry does not allow for a correct assignment of children to their corresponding parents.]]>
      </notes>
    </var>
    <var ID="V2933" name="PMPRES" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="59" 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">
        43229
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        25971223.38
      </sumStat>
      <sumStat type="invd">
        5616
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3228303.724
      </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">
          28550
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17163441.821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother is not a household member
        </labl>
        <catStat type="freq">
          14679
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8807781.56
        </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">
          5616
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3228303.724
        </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 the parents related variables were created by ERF including the presence status. It is generated using the relationship to the 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 and for the head’s grandchildren if he/she has an ever married son/daughter or an in-law living in the household. 

In case of multiple spouses, the children of each spouse do not follow her in the order of data entry. Therefore, the mother characteristics in case of multiple spouses could not be generated. Since the head's children cannot be assigned to their mothers if the head has more than one spouse living the household. 

Similarly, the fathers' and mothers' characteristics could not be generated for the heads' grandchildren if the head has more than one ever married son/daughter and/or one in-law living in the household. Since the order of the data entry does not allow for a correct assignment of children to their corresponding parents.

Niece/Nephew, heads' brothers/sisters and heads' brothers/sisters in law are identified in the relationship to head variable (B2). However, the fathers' and mothers' characteristics could not be generated though for the heads' nieces/nephews, since the order of the data entry does not allow for a correct assignment of children to their corresponding parents.]]>
      </notes>
    </var>
    <var ID="V2934" name="PFATHID" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        ID of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26746
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15835977.374
      </sumStat>
      <sumStat type="invd">
        22099
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13363549.73
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the father
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          25873
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15365034.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94668.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117044.058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          70
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32205.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42892.647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40483.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26464.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39879.153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35129.69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19153.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14419.077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7103.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          401.917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          877.658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13363549.73
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2935" name="PMOTHID" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        ID of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="22"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        28550
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17163441.821
      </sumStat>
      <sumStat type="invd">
        20295
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12036085.284
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the mother
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1410585.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          23827
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14316310.511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          429
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          279079.346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          369
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213202.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          314
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178051.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174881.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          292
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          173556.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          219
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          113360.766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          203
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          107906.002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80359.597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60684.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43422.022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5388.903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2495.608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1108.247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          532.611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1897.222
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20295
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12036085.284
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2936" name="PFAGE" wgt-var="V2921" files="F16" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Age of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="17" max="95"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        26734
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15830067.123
      </sumStat>
      <sumStat type="invd">
        22111
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13369459.982
      </sumStat>
      <sumStat type="min">
        17
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        48.307
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        48.302
      </sumStat>
      <sumStat type="stdev">
        12.843
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.76
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2937" name="PMAGE" wgt-var="V2921" files="F16" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Age of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="14" max="95"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        28526
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17154685.104
      </sumStat>
      <sumStat type="invd">
        20319
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12044842
      </sumStat>
      <sumStat type="min">
        14
      </sumStat>
      <sumStat type="max">
        95
      </sumStat>
      <sumStat type="mean">
        38.938
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        39.163
      </sumStat>
      <sumStat type="stdev">
        11.772
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.719
      </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
----------------------------------
The survey manual indicates that those aged less than  one year of age were coded "0", and those aged 95 or older were coded "95".]]>
      </notes>
    </var>
    <var ID="V2938" name="PFMART" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="69" 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">
        26746
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15835977.374
      </sumStat>
      <sumStat type="invd">
        22099
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13363549.73
      </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">
          25008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14944864.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          1385
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          699112.467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31791.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160208.208
        </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">
          22099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13363549.73
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2939" name="PMMART" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" 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">
        28549
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17162548.732
      </sumStat>
      <sumStat type="invd">
        20296
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12036978.372
      </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">
          25947
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15579475.683
        </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">
          477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          312091.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1262444.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8537.395
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20296
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12036978.372
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2940" name="PFMART_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="74" 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">
        26746
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15835977.374
      </sumStat>
      <sumStat type="invd">
        22099
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13363549.73
      </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">
          25008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14944864.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          1385
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          699112.467
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31791.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160208.208
        </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">
          22099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13363549.73
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2941" name="PMMART_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="77" 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">
        28549
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17162548.732
      </sumStat>
      <sumStat type="invd">
        20296
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12036978.372
      </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">
          25947
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15579475.683
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          312091.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1262444.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8537.395
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20296
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12036978.372
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2942" name="PFEDUC" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="79" 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">
        26738
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15831839.425
      </sumStat>
      <sumStat type="invd">
        22107
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13367687.68
      </sumStat>
      <txt>
        Indicates the Educational level of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          6475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3742373.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          5662
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3550667.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1971
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1261139.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136183.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          761766.135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          11443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6379708.368
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13367687.68
        </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
----------------------------------In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2943" name="PMEDUC" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="81" 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">
        28540
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17158367.953
      </sumStat>
      <sumStat type="invd">
        20305
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12041159.151
      </sumStat>
      <txt>
        Indicates the Educational level of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4357
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2512672.927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          3962
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2601972.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1060279.841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76290.754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          394909.977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          18094
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10512242.412
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20305
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12041159.151
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2944" name="PFEDUC_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="84" 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">
        26738
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15831839.425
      </sumStat>
      <sumStat type="invd">
        22107
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13367687.68
      </sumStat>
      <txt>
        Indicates the Educational level of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2920
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1684305.342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          2977
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1728330.943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          578
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          329737.693
        </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">
          3348
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2075829.187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1830
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1162765.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          484
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          312072.53
        </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">
          1971
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1261139.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136183.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          761766.135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          11443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6379708.368
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13367687.68
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2945" name="PMEDUC_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="87" 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">
        28540
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17158367.953
      </sumStat>
      <sumStat type="invd">
        20305
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12041159.151
      </sumStat>
      <txt>
        Indicates the Educational level of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2588
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1492350.911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          759
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          376332.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          1010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          643989.592
        </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">
          2306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1548912.317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          823502.705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229557.02
        </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">
          1543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1060279.841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76290.754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          394909.977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          18094
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10512242.412
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20305
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12041159.151
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2946" name="PFMAS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" 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">
        26738
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15831839.425
      </sumStat>
      <sumStat type="invd">
        22107
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13367687.68
      </sumStat>
      <txt>
        Indicates the Main activity of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          23222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13733514.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          1577
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          982821.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11022.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          537.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1515
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          875944.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46925.661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181073.222
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13367687.68
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2947" name="PMMAS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" 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">
        28544
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17160140.255
      </sumStat>
      <sumStat type="invd">
        20301
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12039386.849
      </sumStat>
      <txt>
        Indicates the Main activity of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          5639
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3464429.395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          1400
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          890589.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          19080
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11369662.079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19607.389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1218
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          686501.891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          100386.253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          987
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          628964.06
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12039386.849
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2948" name="PFMAS_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="94" 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">
        26738
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15831839.425
      </sumStat>
      <sumStat type="invd">
        22107
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13367687.68
      </sumStat>
      <txt>
        Indicates the Main activity of the father
      </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">
          20590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11988458.357
        </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">
          2632
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1745056.199
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1549
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          971916.014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10905.084
        </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">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11022.308
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          537.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          195011.346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          515099.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          165833.55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9702.82
        </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">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37222.841
        </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">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181073.222
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          22107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13367687.68
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2949" name="PMMAS_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="97" 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">
        28544
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17160140.255
      </sumStat>
      <sumStat type="invd">
        20301
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12039386.849
      </sumStat>
      <txt>
        Indicates the Main activity of the mother
      </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">
          4431
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2684836.701
        </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">
          1208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          779592.695
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1310
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          845976.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44612.592
        </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">
          19080
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11369662.079
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19607.389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30051.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          976
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          539506.619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116943.906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2505.946
        </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">
          189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97880.307
        </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">
          987
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          628964.06
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          20301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12039386.849
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2950" name="PFCEMS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="99" 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">
        24771
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14705430.57
      </sumStat>
      <sumStat type="invd">
        24074
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14494096.535
      </sumStat>
      <txt>
        Indicates the Employment status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          9904
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6123976.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1203403.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          11719
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6670774.059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          552
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255526.174
        </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">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6705.291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          665
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          445045.214
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24074
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14494096.535
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2951" name="PMCEMS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="101" 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">
        6949
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4310405.991
      </sumStat>
      <sumStat type="invd">
        41896
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        24889121.113
      </sumStat>
      <txt>
        Indicates the Employment status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1052983.243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          223
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127825.941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          2486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1515797.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          2039
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1297752.171
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12715.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303330.752
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          41896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24889121.113
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2952" name="PFIND" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="104" 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">
        24771
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14705430.57
      </sumStat>
      <sumStat type="invd">
        24074
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14494096.535
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the father, standardized on a 1-digit coding level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          9417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5158594.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80042.193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          435
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255335.485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          336
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          212086.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          780053.607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          2343
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1579748.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1414
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          854844.047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          150889.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          1055
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          622290.481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          8041
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4856095.23
        </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">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155450.238
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24074
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14494096.535
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2953" name="PMIND" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="107" 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">
        6949
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4310405.991
      </sumStat>
      <sumStat type="invd">
        41896
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        24889121.113
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the mother, standardized on a 1-digit coding level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          3330
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2086481.991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40228.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2408.385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28157.975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184198.495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69579.479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12499.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42385.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          2470
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1601818.395
        </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">
          404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242381.342
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          41896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24889121.113
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2954" name="PFIND_unrecoded" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="111" 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">
        24771
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14705430.57
      </sumStat>
      <sumStat type="invd">
        24074
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14494096.535
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          1512
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          800767.694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          7068
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3990413.144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61563.214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          305850.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80042.193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          435
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255335.485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          115
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59271.585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          152815.247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          780053.607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          2343
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1579748.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          1128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          678578.609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          210
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124490.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51775.305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136763.402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14125.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          1097
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          700475.13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85882.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27025.629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          1013
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          595264.851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          587
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          340006.726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229058.983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10704.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          5716
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3425615.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64352.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155450.238
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24074
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14494096.535
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2955" name="PMIND_unrecoded" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="115" 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">
        6949
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4310405.991
      </sumStat>
      <sumStat type="invd">
        41896
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        24889121.113
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94646.946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          2782
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1852211.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2355.231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          358
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137267.998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          266.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40228.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          277.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2130.445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28157.975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184198.495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5196.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          57153.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7230.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10541.109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1958.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26641.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49470.057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10198.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32187.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          603
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          353362.457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144065.911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20524.294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          1245
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          814027.338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193726.841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242381.342
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          41896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24889121.113
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
    <var ID="V2956" name="PLIT" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="116" 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 6+ years
      </universe>
      <sumStat type="vald">
        39731
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23728618.252
      </sumStat>
      <sumStat type="invd">
        9114
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5470908.853
      </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">
          15056
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8503679.917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          24675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15224938.335
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9114
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5470908.853
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2957" name="EVERATTD" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" 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 6+ years
      </universe>
      <sumStat type="vald">
        39868
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23815202.894
      </sumStat>
      <sumStat type="invd">
        8977
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5384324.211
      </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">
          14109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7956321.585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          25559
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15739103.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119777.828
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8977
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5384324.211
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2958" name="PEDUC" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="120" 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 6+ years
      </universe>
      <sumStat type="vald">
        39866
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23814310.61
      </sumStat>
      <sumStat type="invd">
        8979
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5385216.494
      </sumStat>
      <txt>
        Highest level of education attained.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          15009
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8765068.873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          5898
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3720433.806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          2749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1891950.683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93591.898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1245
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          946402.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </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">
          14837
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8396862.73
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5385216.494
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "none" in PEDUC.]]>
      </notes>
    </var>
    <var ID="V2959" name="PEDUC_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="123" 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 6+ years
      </universe>
      <sumStat type="vald">
        39866
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23814310.61
      </sumStat>
      <sumStat type="invd">
        8979
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5385216.494
      </sumStat>
      <txt>
        Highest level of education attained
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1798395.419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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 &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          766676.558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          10378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6199996.896
        </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">
          2803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1777018.246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1020
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          622850.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2075
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1320565.199
        </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">
          2749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1891950.683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93591.898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1245
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          946402.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          14837
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8396862.73
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8979
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5385216.494
        </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
----------------------------------
In South Sudan, the education system requires completing 6 years of secondary education to be a secondary graduate. While, in North Sudan, the system requires completing 3 years only to be a secondary graduate.
Since there is no way to distinguish between those who completed their secondary education following the northern or the southern system, it was assumed that those who completed 3 or 6 years of secondary education to be secondary graduates. 
However, to partially avoid over estimation, those who completed level 3 and were attending level 4, at the time of the survey,  were assumed to have completed "primary", while those who completed level 3 in secondary and were not attending school at the time of the survey, were assumed to be secondary graduates. 
Some over estimation might have occurred, though, for those who attended till level 3 of secondary school and dropped out when they were supposed to complete secondary to level 6 as per the southern system, however no indication in the data can help distinguish this part of the sample. Even the Migration data are not too detailed to serve in distinguishing them. Those as per the above assumption, were considered secondary graduates.

Similarly, there are 3 education systems for primary education (completing level 4, 6, or 8). Therefore, those who are not currently attending school and reported to have already completed 4, 6 or 8 levels of primary are assumed to have completed primary/lower secondary education.
While for those who were attending school at the time of the survey in levels 5 or 7 of primary, were categorized as "attending elementary school and did not complete first level" in PEDUC_D.

In the old education systems, junior 4 and junior 3 are equivalent to preparatory education.]]>
      </notes>
    </var>
    <var ID="V2960" name="PYEDUC" wgt-var="V2921" files="F16" dcml="0" intrvl="contin">
      <location StartPos="124" EndPos="125" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="16"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        23561
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14650771.322
      </sumStat>
      <sumStat type="invd">
        25284
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14548755.782
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        16
      </sumStat>
      <sumStat type="mean">
        5.067
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5.417
      </sumStat>
      <sumStat type="stdev">
        4.945
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5.07
      </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
----------------------------------
The years of education completed at each level of the secondary stage were computed as the average number of years completed in the 3 education systems that were implemented in North and South Sudan during the past few years. Since the education system based on which the individual pursuit his studies cannot be distinguished.

As per the survey documentation, there is no clear or unified education system for  the "Khalwa" education in Sudan, which is equivalent in other countries to some kind of Koranic/literacy education. Therefore, the number of years of education for those who reported "khalwa" to be their highest level of education attained could not be identified.]]>
      </notes>
    </var>
    <var ID="V2961" name="PATSCH" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" 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 6+ years
      </universe>
      <sumStat type="vald">
        24977
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15339196.466
      </sumStat>
      <sumStat type="invd">
        23868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        13860330.638
      </sumStat>
      <txt>
        Indicates whether the individual is currently attending school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          11646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7251896.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          13331
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8087300.216
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          23868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13860330.638
        </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="V2962" name="PENROL" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="127" 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 aged 6+ years
      </universe>
      <sumStat type="vald">
        13266
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8050878.345
      </sumStat>
      <sumStat type="invd">
        35579
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        21148648.759
      </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">
          9493
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5670084.943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          2280
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1408893.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15714.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1031
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          745617.429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          435
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210568.226
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          35579
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21148648.759
        </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="V2963" name="PVOC" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Received any vocational training
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        39040
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23125050.582
      </sumStat>
      <sumStat type="invd">
        9805
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6074476.523
      </sumStat>
      <txt>
        Provides information on whether the person received any type of vocational training even if received outside the formal schooling system
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          38150
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22620559.263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          890
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          504491.319
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9805
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6074476.523
        </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="V2964" name="PTYPVOC" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="131" width="3" RecSegNo="1"/>
      <labl>
        Type of vocational training received
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="900"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 6+ years
      </universe>
      <sumStat type="vald">
        38861
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23013476.048
      </sumStat>
      <sumStat type="invd">
        9984
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6186051.057
      </sumStat>
      <txt>
        Provides information on the type of vocational training received even if received outside the formal schooling system
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          38150
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22620559.263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Carpentry
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17123.995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Brick laying
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8331.571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Computer science
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55971.339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Motor mechanics
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53582.363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Electrical
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27762.621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Catering
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9748.262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Sewing/tailoring
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48484.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Nursing/first aid
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97297.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          130
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74615.131
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9984
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6186051.057
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
For those who did not receive any type of vocational training the variable will be coded "0" None

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2965" name="PCLFS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="133" 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 10+ years
      </universe>
      <sumStat type="vald">
        34239
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20474427.044
      </sumStat>
      <sumStat type="invd">
        14606
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8725100.06
      </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">
          14267
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8532668.053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          19353
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11542563.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          619
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          399195.956
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8725100.06
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2966" name="PCMAS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="135" 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 10+ years
      </universe>
      <sumStat type="vald">
        34239
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20474427.044
      </sumStat>
      <sumStat type="invd">
        14606
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8725100.06
      </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">
          12275
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7324469.006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          1992
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1208199.047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          7461
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4361855.274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          8383
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5101824.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1667
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          958720.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1615
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          991532.902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          527826.003
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8725100.06
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2967" name="PCMAS_D" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="138" 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 10+ years
      </universe>
      <sumStat type="vald">
        34239
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20474427.044
      </sumStat>
      <sumStat type="invd">
        14606
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8725100.06
      </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">
          10750
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6314281.641
        </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">
          1525
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1010187.365
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          992765.718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          390
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215433.328
        </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">
          7461
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4361855.274
        </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">
          8383
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5101824.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68799.313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          635579.438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          423
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          254341.275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11604.54
        </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">
          1587
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          979928.362
        </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">
          846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          527826.003
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8725100.06
        </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="V2968" name="PCEMS" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" 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 10+ years
      </universe>
      <sumStat type="vald">
        13877
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8317234.725
      </sumStat>
      <sumStat type="invd">
        34968
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        20882292.38
      </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">
          5395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3374874.647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          708
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          446596.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          5033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2846153.926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1969
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1172101.118
        </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">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12815.555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          747
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          464692.843
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34968
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20882292.38
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2969" name="PIND" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" 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 10+ years
      </universe>
      <sumStat type="vald">
        13877
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8317234.725
      </sumStat>
      <sumStat type="invd">
        34968
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        20882292.38
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job, with as much detail as possible.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          5433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3090924.781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35424.818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132101.837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94044.489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463986.146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          985
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          641706.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          687
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          408673.01
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72325.675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          523
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          294432.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          4529
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2809688.863
        </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">
          448
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          273925.757
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34968
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20882292.38
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2970" name="PIND_unrecoded" wgt-var="V2921" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="147" 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 10+ years
      </universe>
      <sumStat type="vald">
        13877
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8317234.725
      </sumStat>
      <sumStat type="invd">
        34968
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        20882292.38
      </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>
          Animal husbandry
        </labl>
        <catStat type="freq">
          879
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          472010.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Crop farming and horticulture
        </labl>
        <catStat type="freq">
          4114
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2436888.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27583.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Forestry
        </labl>
        <catStat type="freq">
          387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154441.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35424.818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132101.837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity, gas, steam and air conditioning supply
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35053.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Water supply, sewerage, waste management and remediation ser
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58990.983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463986.146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wholesale and retail trade, repair of motor vehicles and mot
        </labl>
        <catStat type="freq">
          985
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          641706.827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          286988.017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84905.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36779.993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58471.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13854.169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Professional, scientific and technical activities
        </labl>
        <catStat type="freq">
          486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          314800.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Administrative and support service activities
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62174.089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Public administration and compulsory social security
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18319.419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Defence
        </labl>
        <catStat type="freq">
          491
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          276113.103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          493
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          294935.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Human health and social activities
        </labl>
        <catStat type="freq">
          254
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          173375.335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Arts, entertainment and recreation
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25372.181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          3008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1835493.811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Activities of household as employers, services-producing act
        </labl>
        <catStat type="freq">
          162
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103537.8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          448
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          273925.757
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34968
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20882292.38
        </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
----------------------------------
The survey documentation indicates that the economic activity follows the International Standard Industrial Classification of All Economic Activities (ISIC) Rev.4, however the variable's codes do not match those of the ISIC rev.4. Therefore, to keep all details provided in the original data, an unrecoded version was retained in the harmonized data file.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
