Template_project
EGY_HIECS_2015_HD_V3.0
Economic Research Forum
2017-06
Nesstar Publisher
Version 3.0
Household Income, Expenditure, and Consumption Survey, HIECS 2015
HIECS 2015
EGY_HIECS_2015_HD_V3.0
Economic Research Forum
Central Agency For Public Mobilization & Statistics
(c) 2023, Economic Research Forum | (c) 2016, CAPMAS, Egypt
Nesstar Publisher
Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt
Income/Expenditure/Household Survey [hh/ies]
Poverty
Expenditure
Income
Infrastructure
Education
Labor
Health
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)
The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.
The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2015, is the twelfth in this long series.
Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.
CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society.
The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies
The survey main objectives are:
- To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.
- To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.
- To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.
- To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.
- To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.
- To define average household and per-capita income from different sources.
- To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.
- To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.
- To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.
- To study the relationships between demographic, geographical, housing characteristics of households and their income.
- To provide data necessary for national accounts especially in compiling inputs and outputs tables.
- To identify consumers behavior changes among socio-economic groups in urban and rural areas.
- To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.
- To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.
- To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.
- To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.
- To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.
The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.]]>
Egypt
Covering a sample of urban and rural areas in all the governorates.
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Sample survey data [ssd]
Central Agency For Public Mobilization & Statistics
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)
The sample of HIECS 2015 is a self-weighted two-stage stratified cluster sample.
The main elements of the sampling design are described in the following.
1- Sample Size
The sample size is around 25 thousand households. It was distributed between urban and rural with the percentages of 45% and 55%, respectively.
2- Cluster size
The cluster size is 10 households in most governorates. It reached 20 households in Port-Said, Suez, Ismailiya, Damietta, Aswan and Frontier governorates, since the sample size in those governorates is smaller compared to others.
3- Sample allocation in different governorates
45% of the survey sample was allocated to urban areas (11260 households) and the other 55% was allocated to rural areas (13740 households).
The sample was distributed on urban/rural areas in different governorates proportionally with the household size
A sample size of a minimum of 1000 households was allocated to each governorate to ensure accuracy of poverty indicators.
Therefore, the sample size was increased in Port-Said, Suez, Ismailiya, kafr el-Sheikh, Damietta, Bani Suef, Fayoum, Qena, Luxor and Aswan, by compensation from other governorates where the sample size exceeds a 1000 households. All Frontier governorates were considered as one governorate.
4- Core Sample
The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society.
This sample was implemented in January 2010 and its size reached more than 1 million household selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households).
The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.
A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.]]>
Face-to-face [f2f]
1- Expenditure and Consumption Questionnaire
This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page.
The questionnaire is divided into two main sections.
Section one: Household schedule and other information, it includes:
- Demographic characteristics and basic data for all household individuals consisting of 25 questions for every person.
- Members of household who are currently working abroad.
- The household ration card.
- The main outlets that provide food and beverage.
- Domestic and foreign tourism.
- The housing conditions including 16 questions.
- Household ownership of means of transportation, communication and domestic appliances.
- Date of purchase, status at purchase, purchase value and current imputed value of the
household possessed appliances and means of transportation.
- The Duration since the household was established
- The main outlet that provides fabrics, clothes and footwear.
-This section includes some questions which help to define the social and economic level of households which in turn, help interviewers to check the plausibility of expenditure, consumption and income data.
Section two: Expenditure and consumption data It includes 14 tables as follows:
1- The quantity and value of food and beverages commodities actually consumed.
2- The quantity and value of the actual consumption of alcoholic beverages, tobacco and narcotics.
3- The quantity and value of the clothing and footwear.
4- The household expenditure on housing.
5- The household expenditure on furnishings, household equipment and routine maintenance of the house.
6- The household expenditure on health care services.
7- The household expenditure on transportation.
8- The household expenditure on communication.
9- The household expenditure on recreation and culture
10- The household expenditure on education.
11- The household expenditure at restaurants and hotels.
12- The household expenditure on miscellaneous goods and services.
13- Transfer payments.
14- Total annual household expenditure
The tables from 1 to 13 include all types of commodities and services (850 Items), 50 Sub-group and 12 Main groups in addition to transfer payments.
This questionnaire has been designed to be pre-coded for all expenditure items and household characteristics, to avoid possible coding mistakes, except for the occupation and industry. Those were coded at the office following the International classifications for occupation and industry. On the questionnaire cover, geographic information were coded at the office, as well, following the Administrative Classification.
The questionnaire was designed to cover different reference periods for expenditure data, since they differ based on the expenditure nature. The reference period agreed upon for regular consumption of commodities such as those related to food and beverage is two weeks. Alcoholic beverages and Tobacco are collected for a reference of one month ending by the end of the survey period. Commodities and services consumed on a semi-regular basis are collected for a reference of 3 month while commodities and services consumed less regularly are collected on annual basis, ending by the end of the survey period.
The total number of items increased to 850 commodity and service compared to 778 in 2012/2013 survey.
----> 2 - Assisting questionnaire
The assisting questionnaire has been prepared to help households recording - on a daily basis- the quantity and value of what have been consumed of food and beverages during the reference period.
Therefore, this questionnaire is considered the main source of expenditure data on food and beverage, and was designed in a very simple form to facilitate using it by the surveyed household and the interviewers during their frequent visits to the household.
Due to the importance of such a questionnaire, the households are required to record their expenses daily, and the interviewers are instructed to check what households have recorded during their 6 visits to the household during the survey period. In case of the inability of some households to record their daily expenditure, the interviewer has to do so.
The questionnaire includes:
a- Letter addressed to the head of household to inform him/her about the importance of survey so that his/her cooperation may be stimulated.
b- Instructions of data recording for households and interviewers.
c- A group of modules to record daily consumption of household as follows:
Module (A): Includes twenty pages to record the daily consumed quantity and value of food and beverages, during the survey period. Each pages consists of 4 columns and each column is used to register the data of one good, including:
Date, source of commodity, quantity and value.
Module (B): Includes ten pages to record the value of expenditure for meals and tobacco outside the house, in addition to the value of expenditure for food prepared outside the house and consumed inside the house.
Module (C1): Includes 12 pages to record the total of quantity and value of consumed food and beverages according to source, either from household production or in-kind transfer, during the survey period using the data recorded in Module (A).
Module (C2): Includes 6 pages to record the total of quantity and value of actually consumed food and beverages according to source, either from household production or in-kind transfer, during the survey period using the data recorded in Module (A).
Module (D): Includes two pages to record total expenditure on food and beverages consumed outside home during the survey period using the data recorded in Module (B).
----> 3- Income questionnaire
It includes annual household income data according to income sources (excluding irregular incomes).
It consists of several tables; each is designated to a specific income source. These sources are:
- Wages and salaries for wage/salary for earners among household members.
- Self-employed income from agriculture projects.
- Self-employed income from non Agriculture projects.
- Financial properties such as stocks, bonds, deposits and investment certificates.
- Non- financial properties such as agriculture or non-agriculture land and rented to others properties.
- Imputed rent of owner-occupied dwellings.
- Received cash and in kind transfers]]>
Raw Data
- Data entry was conducted using the tablets carried by interviewers upon data collection, during visits.
- Data entry programs were designed and implemented by data experts in CAPMAS
- Those programs are flexible and user friendly.
- Validation rules were further added to the entry programs to ensure data is correctly entered.
- Further errors are produced in reports through the same program.
- Errors are then corrected to ensure data files produced are free of error.
----> Harmonized Data
- The Statistical Package 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.]]>
Economic Research Forum
Licensed datasets, accessible under conditions.
The Economic Research Forum and the Central Agency For Public Mobilization & Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
Egypt15-HH-V3.NSDstat
11988
231
Nesstar 200801
Egypt15-IND-V3.NSDstat
52254
73
Nesstar 200801
Household
Individual
Identification
Geographic
Household composition
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 …
Dwelling characteristics
Ownership of assets
Head's characteristics
Spouses' characteristics
Expenditure
Income
Identification
Geographic
Demographics
Father's characteristics
Mother's characteristics
Nationality and Immigration
Education
Health
Labour
Income
Social Protection
Country
Data Dictionary & Questionnaire/Codebook
All households
11988
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
818
Egypt
11988
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All households
11988
0
Year during which the survey was performed
2015
11988
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All households
11988
0
2
23976
11989
6921.564
Sequential anonymous household identifier usually provided in the dataset
Original survey variable renamed (Ref: Data dictionary.pdf)
Primary Sampling Unit identifier
Data Dictionary & Questionnaire/Codebook
All households
11988
0
1
683
92.104
113.334
Primary Sampling Unit Identifier usually provided in the dataset
Original survey variable renamed (Ref: Data dictionary.pdf)
Household weight
Data Dictionary & Questionnaire/Codebook
All households
11988
0
0.0875
5.975
1.001
0.63
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Region of residence
1
Cairo
748
1482.699
2
Alexandria
492
839.945
3
Port Said
495
93.141
4
Suez
476
79.118
5
Helwan
0
0
6
6 of October
0
0
11
Damietta
479
185.678
12
Dakahlia
624
862.211
13
Sharkia
610
909.051
14
Qualioubia
501
736.38
15
Kafr Elsheikh
476
419.473
16
Gharbia
486
723.56
17
Monofia
502
559.91
18
Beheira
535
782.463
19
Ismailya
483
159.275
21
Giza
687
1089.79
22
Bani Swef
495
321.07
23
Fayoum
497
386.582
24
Menia
495
627.957
25
Assiut
487
500.61
26
Sohag
489
313.054
27
Qena
491
384.54
28
Aswan
474
192.492
29
Luxor
500
177.673
31
ElBahr ElAhmar
103
34.397
32
ElWadi ElGadid
80
28.441
33
Matrouh
108
31.846
34
North Sinai
135
57.795
35
South Sinai
40
17.956
Original survey variable renamed (Ref: Data dictionary.pdf)
Area
Data Dictionary & Questionnaire/Codebook
All households
11988
0
Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
1
Urban Governorates
2211
2
Urban Lower Egypt
1236
3
Rural Lower Egypt
3460
4
Urban Upper Egypt
1444
5
Rural Upper Egypt
3171
6
Urban Frontier
330
7
Rural Frontier
136
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates whether the region is urban/rural
0
Rural
6767
6503.948
1
Urban
5221
5493.16
2
Refugee camps
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available
Number of persons
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
1
23
4.359
4.266
1.883
1.849
Total number of persons in the household (including children or any other individuals not included in individual-level survey for any reason)
Generated by ERF
Number of Males
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
12
2.192
2.138
1.275
1.253
Total number of Males in the household (including children)
0
835
878.896
1
2933
3053.412
2
3713
3766.45
3
2819
2728.935
4
1174
1122.119
5
380
336.309
6
98
80.839
7
26
22.637
8
5
3.584
9
2
1.211
10
2
1.739
12
1
0.977
Generated by ERF
Number of Females
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
13
2.167
2.127
1.222
1.202
Total number of females in the household (including children)
0
234
277.984
1
3941
4002.868
2
3776
3826.742
3
2405
2363.185
4
1094
1034.21
5
403
372.666
6
93
83.6
7
26
22.564
8
9
7.254
9
4
3.61
10
1
0.894
12
1
1.184
13
1
0.347
Generated by ERF
Number of persons under age 14
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
10
1.361
1.306
1.412
1.39
Number of persons under age 14 living in the household
0
4863
5056.186
1
1974
1973.402
2
2356
2328.014
3
1858
1783.155
4
708
660.917
5
178
149.908
6
34
31.814
7
11
7.572
8
4
3.771
9
1
0.977
10
1
1.392
Generated by ERF
Number of persons aged 65 or more
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
3
0.231
0.231
0.497
0.497
Number of household members aged 65 or more including head and spouse.
0
9624
9633.366
1
1957
1956.936
2
403
402.845
3
4
3.962
Generated by ERF
Household composition
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
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..
1
1-2 adults, no child
2065
2181.532
2
1-2 adults, 1-2 children
2191
2235.63
3
1-2 adult, 3 or more children
2821
2711.062
4
3 adults or more, 0-1 child
2867
2929.065
5
3 adults or more, 2-3 children
1579
1513.221
6
3 adults or more, 4 children or more
465
426.599
Head living in couple
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Standardized code that indicates whether the head of the household has a partner and the type of partnership
0
No couple present in the household
2574
2669.572
1
Married couple head and spouse
9356
9274.797
2
Several cohabiting spouses
58
52.739
Generated by ERF
Number of earners
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Number of household members who receives any earnings.
1
6570
6706.214
2
3630
3555.593
3
1311
1280.212
4
365
349.988
5
91
86.083
6
16
16.365
7
4
2.104
8
1
0.549
Source of income
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Main income source of the household
10
Household business
3238
3208.388
20
Salaries and wages
6111
6040.634
30
Remittances from country or abroad
2618
2732.219
40
Pensions
0
0
50
Other
21
15.868
Type of dwelling [Standardized version]
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Type of the dwelling
1
House
2085
1712.069
2
Villa
22
21.662
3
Apartment
9310
9666.356
4
Others
571
597.021
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Type of the dwelling
100
House
0
0
110
Countryside house
2085
1712.069
120
Arabic house
0
0
130
Traditional house
0
0
140
Modern house
0
0
150
Public or part of a public house
0
0
160
Small house (part of a villa)
0
0
170
House in an agency
0
0
180
House built in bricks or rocks or concrete
0
0
190
One floor building
0
0
200
Villa
22
21.662
210
Villa or floor in a villa
0
0
220
Part of a villa
0
0
230
Palace
0
0
300
Apartment
9125
9506.038
310
More than one apartment
185
160.318
320
Studio
0
0
400
Others
0
0
410
One or more separate room
148
168.217
420
One or more room in a housing unit
421
426.453
430
Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
2
2.351
440
Clay or reed house
0
0
450
Other place not suitable for residence
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Tenure of dwelling [Standardized version]
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Type of tenure
1
Rented
1723
2068.038
2
Owned
8642
8322.9
3
Provided free
1601
1584.237
4
Others
22
21.932
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Tenure of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Type of tenure
100
Rented
0
0
110
Unfurnished rent
0
0
120
Furnished rent
17
9.521
130
Old law rent
892
1244.284
140
New law rent
814
814.234
150
Rent with key money
0
0
200
Owned
0
0
210
Unit owned (privately or jointly)
7595
7347.083
220
Unit bought
1047
975.817
230
In the process of being acquired
0
0
240
Mortgage with or without rent
0
0
300
Provided free
0
0
310
Provided free by employer, by work
0
0
320
Subsidized rent, without payment, from work
0
0
330
Gift/granted
1508
1509.674
340
In-kind benefit
93
74.563
350
Without payment
0
0
400
Others
22
21.932
410
Free agreement
0
0
420
No agreement
0
0
430
Provided for work
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Number of rooms
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
1
12
3.597
3.597
1.062
1.06
Number of rooms excluding bathroom and kitchen
1
190
230.857
2
954
929.012
3
4779
4682.439
4
4425
4490.373
5
1172
1223.868
6
303
289.808
7
74
67.95
8
57
53.883
9
17
12.111
10
11
10.207
12
6
6.6
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Electrified
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the dwelling is electrified or not
0
No
90
89.365
1
Electrified
11898
11907.744
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for lighting
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Distinguish between public and private sources of electricity and other sources of lighting
0
No lighting
0
0
1
Public network
11898
11907.744
2
Private
0
0
3
Gas
27
23.166
4
Kerosene
60
61.54
5
Others
3
4.659
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for cooking
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Distinguish between different sources of energy for cooking
0
No cooking
0
0
1
Electricity
18
16.271
2
Gas
11910
11925.111
3
Kerosene
21
18.72
4
Wood AND coal
11
8.054
5
Others
28
28.951
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Water facilities
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates from where the household get its drinking water
1
Piped supply
10857
10796.923
2
Public tap
587
553.692
3
Well
171
201.388
4
Tanker
0
0
5
Other
373
445.105
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicate whether the household has access to toilet facility
1
Yes and connected to sewage
7428
8095.865
2
Yes and not connected to sewage
4529
3881.164
3
No facility
31
20.079
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility shared
Data Dictionary & Questionnaire/Codebook
All households
11988
0
Indicates whether the household shares the toilet facility or not
1
Private toilet
11484
2
Shared toilet
477
3
No toilet facility
27
Original survey variable renamed (Ref: Data dictionary.pdf)
Garbage disposal method
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates the method the household uses for garbage disposal
100
Collected
0
0
110
Collected by a garbage collector
2415
2856.632
120
Collected by a private company
1136
1262.078
130
Collected by government services
0
0
200
Thrown in a public bin
3600
3367.694
210
Thrown in a closed public bin
0
0
220
Thrown in an unclosed public bin
0
0
300
Thrown in a garbage area
0
0
400
Thrown in the streets
3118
3111.111
500
Thrown randomly
0
0
600
Burnt
1517
1230.063
700
Other
157
130.565
710
Heap
0
0
720
Pit
0
0
730
Recycled
0
0
740
Used as food for animals
45
38.966
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a car, van, taxi, cart, etc ...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a car, van, taxi, cart … or any other type of vehicles
0
None
11074
11041.721
1
Own one or many
914
955.387
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has bicycle, scooter, motorcycle, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to bicycle, scooter, motorcycle, etc...
0
None
9951
10179.712
1
Own one or many
2037
1817.397
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a TV, LCD, LED, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a TV, LCD, LED, etc..
0
None
535
533.423
1
Own one or many
11453
11463.685
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has satellite dish, receiver, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a satellite dish, receiver, etc…
0
None
891
847.609
1
Own one or many
11097
11149.499
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has DVD, VCR, CD player, audio player, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a DVD, VCR, CD player, recorder, audio player etc…
0
None
9560
9286.049
1
Own one or many
2428
2711.059
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has photo or video camera
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a photo or video camera
0
None
11774
11718.848
1
Own one or many
214
278.26
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has telephone, cell phone, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a telephone, cell phone etc…
0
None
537
544.639
1
Own one or many
11451
11452.469
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has computer or laptop connected or not to an internet line
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
None
8230
8072.632
1
Own one or many
3758
3924.476
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has internet line and related equipments (router, USB, etc ...)
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
None
9925
9778.387
1
Own one or many
2063
2218.721
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has refrigerator, freezer, water cooler, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
None
528
530.073
1
Own one or many
11460
11467.035
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has cooker, stove, oven, etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a gas or electric cooker, stove, oven, etc…
0
None
255
237.812
1
Own one or many
11733
11759.296
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has microwave, grill, fryer etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
None
11389
11294.34
1
Own one or many
599
702.768
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has food processor, kitchen machine, blender, grinder etc...
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
0
None
1241
1202.179
1
Own one or many
10747
10794.929
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has washing machine
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a manual or an automatic washing machine
0
None
732
717.552
1
Own one or many
11256
11279.556
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a dishwasher
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a dishwasher
0
None
11835
11796.568
1
Own one or many
153
200.54
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an air conditioner
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to an air conditioner
0
None
10444
10655.324
1
Own one or many
1544
1341.784
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an electric fan
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to an electric fan
0
None
858
907.564
1
Own one or many
11130
11089.545
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a heater
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a gas, electric or solar heater
0
None
11081
10995.684
1
Own one or many
907
1001.424
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a water heater
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a solar, gas or electric water heater
0
None
5603
5556.222
1
Own one or many
6385
6440.886
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a sewing machine
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a sewing machine
0
None
11480
11505.357
1
Own one or many
508
491.751
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a vacuum cleaner
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to a vacuum cleaner
0
None
9400
9178
1
Own one or many
2588
2819.108
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an iron
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to an iron
0
None
3961
3952.494
1
Own one or many
8027
8044.614
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has other durables
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
Indicates if the household owns or has free access to any other household appliance
0
None
10875
10840.384
1
Own one or many
1113
1156.724
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the head
Data Dictionary & Questionnaire/Codebook
All heads
11988
11997.108
0
0
18
99
49.89
50.02
13.71
13.659
Age of the head in years
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses
9414
9327.537
2574
2669.572
18
84
41.591
41.798
12.118
12.193
Age in years of the first spouse
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses
58
52.739
11930
11944.369
19
70
40.414
39.78
12.313
12.481
Age in years of the second spouse
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses
1
11987
26
26
26
Age in years of the third spouse
26
1
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the head
Data Dictionary & Questionnaire/Codebook
All heads
11988
11997.108
0
0
Gender of the head
1
Male
9884
9855.004
2
Female
2104
2142.104
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses
9414
9327.537
2574
2669.572
Gender of the first spouse
1
Male
6
4.963
2
Female
9408
9322.573
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses
58
52.739
11930
11944.369
Gender of the second spouse
1
Male
0
0
2
Female
58
52.739
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses
1
11987
Gender of the third spouse
1
Male
0
2
Female
1
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Marital status of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 18+ years
11988
11997.108
0
0
Legal administrative status concerning marriage of the head
1
Never married
169
185.661
2
Married monogamous
9618
9544.996
3
Married polygamous
184
155.367
4
Divorced/Separated
219
238.268
5
Widowed
1798
1872.816
99
Not stated
0
0
Original survey variable renamed (Ref: Data dictionary.pdf)
Marital status of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 18+ years
11988
11997.108
0
0
Legal administrative status concerning marriage
100
Never married
169
185.661
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
9618
9544.996
300
Married polygamous
184
155.367
400
Divorced/Separated
0
0
410
Separated
42
41.9
420
Divorced
177
196.368
500
Widowed
1798
1872.816
999
Not stated
0
0
Original survey variable renamed (Ref: Data dictionary.pdf)
Partnership and parenthood status of the head
Data Dictionary & Questionnaire/Codebook
All heads
11988
11997.108
0
0
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
1
Head with partner, with no children
1094
1122.131
2
Head with partner, with children, Youngest child<18
7162
6983.887
3
Head with partner, with children, Youngest child 18+
1546
1594.345
4
Single Head, with no children
894
957.702
5
Single Head, with children, Youngest child<18
419
425.155
6
Single Head, with children, Youngest child 18+
873
913.888
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the head
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
11988
11997.108
0
0
This variable indicates whether the head is literate (can read and write) or not
0
No
3306
3239.515
1
Can read AND write
8682
8757.593
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
9414
9327.537
2574
2669.572
This variable indicates whether the first spouse is literate (can read and write) or not
0
No
3295
3279.772
1
Can read AND write
6119
6047.765
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
58
52.739
11930
11944.369
This variable indicates whether the second spouse is literate (can read and write) or not
0
No
42
42.258
1
Can read AND write
16
10.481
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
11987
This variable indicates whether the third spouse is literate (can read and write) or not
0
No
1
1
Can read AND write
0
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
11988
11997.108
0
0
Highest level of education attained by the head
1
None
5000
4935.392
2
Primary/Lower secondary
1698
1731.334
3
Secondary
3310
3184.254
4
Post secondary or equivalent
520
526.934
5
University
1381
1501.611
6
Postgraduate
79
117.584
99
Not stated
0
0
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
9414
9327.537
2574
2669.572
Highest level of education attained by the first spouse
1
None
4122
4113.274
2
Primary/Lower secondary
1153
1099.896
3
Secondary
2835
2742.234
4
Post secondary or equivalent
317
320.659
5
University
954
1011.68
6
Postgraduate
33
39.793
99
Not stated
0
0
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
58
52.739
11930
11944.369
Highest level of education attained by the second spouse
1
None
48
45.865
2
Primary/Lower secondary
5
2.048
3
Secondary
4
3.878
4
Post secondary or equivalent
0
0
5
University
1
0.948
6
Postgraduate
0
0
99
Not stated
0
0
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
11987
Highest level of education attained by the third spouse
1
None
1
2
Primary/Lower secondary
0
3
Secondary
0
4
Post secondary or equivalent
0
5
University
0
6
Postgraduate
0
99
Not stated
0
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
11988
11997.108
0
0
Highest level of education attained by the head.
100
None
0
0
110
Illiterate
3306
3239.515
120
Read only
0
0
130
Read AND write
1411
1442.479
140
Literacy classes/certificate
283
253.397
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
1079
1106.979
220
Preparatory
619
624.355
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
179
181.095
320
Professional/Vocational secondary
3131
3003.159
400
Post secondary or equivalent
520
526.934
500
University
1381
1501.611
600
Postgraduate
79
117.584
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the first spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
9414
9327.537
2574
2669.572
Highest level of education attained by the first spouse.
100
None
0
0
110
Illiterate
3295
3279.772
120
Read only
0
0
130
Read AND write
746
759.569
140
Literacy classes/certificate
81
73.933
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
665
616.357
220
Preparatory
488
483.539
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
158
168.412
320
Professional/Vocational secondary
2677
2573.823
400
Post secondary or equivalent
317
320.659
500
University
954
1011.68
600
Postgraduate
33
39.793
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the second spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
58
52.739
11930
11944.369
Highest level of education attained by the second spouse.
100
None
0
0
110
Illiterate
42
42.258
120
Read only
0
0
130
Read AND write
4
2.184
140
Literacy classes/certificate
2
1.423
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
3
0.82
220
Preparatory
2
1.228
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
1
1.283
320
Professional/Vocational secondary
3
2.595
400
Post secondary or equivalent
0
0
500
University
1
0.948
600
Postgraduate
0
0
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the third spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
11987
Highest level of education attained by the third spouse.
100
None
0
110
Illiterate
1
120
Read only
0
130
Read AND write
0
140
Literacy classes/certificate
0
150
Never attended school
0
160
KG
0
170
Koranic KG (Kouttab)
0
180
Attending elementary school and did not complete first level
0
200
Primary/Lower secondary
0
210
Primary
0
220
Preparatory
0
230
Lower secondary
0
240
Professional/Vocational below secondary education
0
300
Secondary
0
310
Academic secondary
0
320
Professional/Vocational secondary
0
400
Post secondary or equivalent
0
500
University
0
600
Postgraduate
0
610
High diploma
0
620
Masters
0
630
PhD
0
999
Not stated
0
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 6+ years
11988
11997.108
0
0
1
Employed
8745
8640.926
2
Unemployed
52
60.018
3
Homemaker (Housewife)
1043
1024.714
4
Student
14
18.318
5
Pensioners/retired/disabled
2050
2161.542
6
Others
71
75.61
99
Not stated
13
15.981
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
9414
9327.537
2574
2669.572
1
Employed
2289
2201.424
2
Unemployed
186
178.344
3
Homemaker (Housewife)
6447
6439.307
4
Student
10
11.419
5
Pensioners/retired/disabled
346
365.05
6
Others
5
4.423
99
Not stated
131
127.569
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
58
52.739
11930
11944.369
1
Employed
13
9.793
2
Unemployed
0
0
3
Homemaker (Housewife)
42
39.42
4
Student
0
0
5
Pensioners/retired/disabled
3
3.526
6
Others
0
0
99
Not stated
0
0
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
1
11987
1
Employed
0
2
Unemployed
0
3
Homemaker (Housewife)
1
4
Student
0
5
Pensioners/retired/disabled
0
6
Others
0
99
Not stated
0
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 6+ years
11988
11997.108
0
0
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.
100
Employed
87
86.823
110
Employed during last week
8653
8549.237
120
Employed but temporary absent from work
5
4.865
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
40
45.091
220
Unemployed never worked (looking for a job)
10
12.06
230
Temporary unemployed (in military services)
2
2.867
300
Homemaker (Housewife)
0
0
310
Homemaker
795
786.24
320
Housewife
248
238.473
330
Working housewife
0
0
400
Student
6
7.645
410
Working student
8
10.673
500
Pensioners/retired/disabled
0
0
510
Pensioners
529
570.619
520
Retired
0
0
530
Disabled
282
298.574
540
Unable to work
0
0
550
Old
1239
1292.349
560
Disabled/Old/Ill
0
0
600
Others
4
2.325
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
3
4.631
650
Not working and not looking for a job
64
68.654
660
Landlord
0
0
670
Child
0
0
999
Not stated
13
15.981
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the first spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
9414
9327.537
2574
2669.572
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.
100
Employed
92
75.672
110
Employed during last week
2186
2113.516
120
Employed but temporary absent from work
11
12.236
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
57
50.68
220
Unemployed never worked (looking for a job)
129
127.665
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
6447
6439.307
330
Working housewife
0
0
400
Student
10
11.419
410
Working student
0
0
500
Pensioners/retired/disabled
0
0
510
Pensioners
77
87.367
520
Retired
0
0
530
Disabled
65
69.907
540
Unable to work
0
0
550
Old
204
207.776
560
Disabled/Old/Ill
0
0
600
Others
1
1.113
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
4
3.31
660
Landlord
0
0
670
Child
0
0
999
Not stated
131
127.569
Sysmiss
2574
2669.572
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the second spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
58
52.739
11930
11944.369
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.
100
Employed
1
0.652
110
Employed during last week
12
9.141
120
Employed but temporary absent from work
0
0
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
0
0
220
Unemployed never worked (looking for a job)
0
0
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
42
39.42
330
Working housewife
0
0
400
Student
0
0
410
Working student
0
0
500
Pensioners/retired/disabled
0
0
510
Pensioners
0
0
520
Retired
0
0
530
Disabled
2
2.578
540
Unable to work
0
0
550
Old
1
0.948
560
Disabled/Old/Ill
0
0
600
Others
0
0
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
11930
11944.369
Original survey variable renamed (Ref: Data dictionary.pdf)
Main activity status of the third spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
1
11987
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.
100
Employed
0
110
Employed during last week
0
120
Employed but temporary absent from work
0
130
Waiting to go back to previous job
0
140
Found a job and waiting for the start date
0
150
Employed (1-14 hours) weekly
0
160
Employed (15 hours or more) weekly
0
170
Employed (35 hours or more) weekly
0
180
Managing own properties
0
200
Unemployed
0
210
Unemployed ever worked (looking for a job)
0
220
Unemployed never worked (looking for a job)
0
230
Temporary unemployed (in military services)
0
300
Homemaker (Housewife)
0
310
Homemaker
0
320
Housewife
1
330
Working housewife
0
400
Student
0
410
Working student
0
500
Pensioners/retired/disabled
0
510
Pensioners
0
520
Retired
0
530
Disabled
0
540
Unable to work
0
550
Old
0
560
Disabled/Old/Ill
0
600
Others
0
610
Out of labor force
0
620
Out of human force
0
630
Have income/revenue/means
0
640
In prison or in hospital
0
650
Not working and not looking for a job
0
660
Landlord
0
670
Child
0
999
Not stated
0
Sysmiss
11987
Original survey variable renamed (Ref: Data dictionary.pdf)
Status of Employment of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the head, ideally following the ICSE classification.
1
Employee
5412
5363.888
2
Employer
2019
2013.948
3
Own-account, self-employed
1295
1246.762
4
Contributing (unpaid) family worker
19
18.552
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
50
56.405
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Status of Employment of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the first spouse, ideally following the ICSE classification.
1
Employee
1207
1158.699
2
Employer
66
60.541
3
Own-account, self-employed
333
322.647
4
Contributing (unpaid) family worker
672
647.301
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
68
62.916
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Status of Employment of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the second spouse, ideally following the ICSE classification.
1
Employee
4
2.893
2
Employer
0
0
3
Own-account, self-employed
3
2.361
4
Contributing (unpaid) family worker
6
4.54
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Status of Employment of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the second spouse, ideally following the ICSE classification.
1
Employee
0
2
Employer
0
3
Own-account, self-employed
0
4
Contributing (unpaid) family worker
0
5
Members of producers cooperatives
0
6
Workers not classifiable by status (other)
0
99
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
10
Legislators, senior officials and managers
975
1014.089
20
Professionals
905
931.006
30
Technicians and associate professionals
886
801.635
40
Clerks
284
276.895
50
Service workers and shop and market sales workers
845
837.145
60
Skilled agricultural and fishery workers
1777
1659.226
70
Craft and related trades workers
1317
1333.274
80
Plant and machine operators, and assemblers
974
996.858
90
Elementary occupations
805
815.436
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
International Standard Occupational classification of the main (current or last held) job of the first spouse
10
Legislators, senior officials and managers
104
96.682
20
Professionals
530
519.947
30
Technicians and associate professionals
337
299.159
40
Clerks
94
74.906
50
Service workers and shop and market sales workers
250
263.466
60
Skilled agricultural and fishery workers
753
708.75
70
Craft and related trades workers
33
31.72
80
Plant and machine operators, and assemblers
61
61.735
90
Elementary occupations
151
164.56
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
International Standard Occupational classification of the main (current or last held) job of the second spouse
10
Legislators, senior officials and managers
0
0
20
Professionals
1
0.948
30
Technicians and associate professionals
0
0
40
Clerks
0
0
50
Service workers and shop and market sales workers
4
1.812
60
Skilled agricultural and fishery workers
5
3.752
70
Craft and related trades workers
2
2.28
80
Plant and machine operators, and assemblers
1
1.002
90
Elementary occupations
0
0
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
International Standard Occupational classification of the main (current or last held) job of the third spouse
10
Legislators, senior officials and managers
0
20
Professionals
0
30
Technicians and associate professionals
0
40
Clerks
0
50
Service workers and shop and market sales workers
0
60
Skilled agricultural and fishery workers
0
70
Craft and related trades workers
0
80
Plant and machine operators, and assemblers
0
90
Elementary occupations
0
100
Armed forces
0
998
Other/unspecified
0
999
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the head [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
Occupation classification for the main (current or last held) job of the head, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
975
1014.089
2
Professionals
905
931.006
3
Technicians and associate professionals
886
801.635
4
Clerks
284
276.895
5
Service workers and shop and market sales
845
837.145
6
Skilled agricultural and fishery workers
1777
1659.226
7
Craft and related trades
1317
1333.274
8
Plant and machine operators and assemblers
974
996.858
9
Elementary occupations
805
815.436
10
Armed Forces
0
0
9999
Unspecified code
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the first spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
Occupation classification for the main (current or last held) job of the first spouse, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
104
96.682
2
Professionals
530
519.947
3
Technicians and associate professionals
337
299.159
4
Clerks
94
74.906
5
Service workers and shop and market sales
250
263.466
6
Skilled agricultural and fishery workers
753
708.75
7
Craft and related trades
33
31.72
8
Plant and machine operators and assemblers
61
61.735
9
Elementary occupations
151
164.56
10
Armed Forces
0
0
9999
Unspecified code
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the second spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
Occupation classification for the main (current or last held) job of the second spouse, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
0
0
2
Professionals
1
0.948
3
Technicians and associate professionals
0
0
4
Clerks
0
0
5
Service workers and shop and market sales
4
1.812
6
Skilled agricultural and fishery workers
5
3.752
7
Craft and related trades
2
2.28
8
Plant and machine operators and assemblers
1
1.002
9
Elementary occupations
0
0
10
Armed Forces
0
0
9999
Unspecified code
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the third spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
Occupation classification for the main (current or last held) job of the third spouse, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
0
2
Professionals
0
3
Technicians and associate professionals
0
4
Clerks
0
5
Service workers and shop and market sales
0
6
Skilled agricultural and fishery workers
0
7
Craft and related trades
0
8
Plant and machine operators and assemblers
0
9
Elementary occupations
0
10
Armed Forces
0
9999
Unspecified code
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
10
Agriculture and Fishing
1872
1729.345
20
Mining
35
25.765
30
Manufacturing
1026
1055.57
40
Electricity and Utilities
179
187.843
50
Construction
864
887.5
60
Commerce
1205
1227.626
70
Transportation, Storage and Communication
1066
1063.138
80
Financial, Insurance and Real Estate
86
84.334
90
Public Administration
978
930.126
100
Other services
1457
1474.316
998
Unspecified
0
0
999
Not stated
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
Industry classification of the main (current or last held) job of the first spouse
10
Agriculture and Fishing
758
711.608
20
Mining
1
1.458
30
Manufacturing
120
112.17
40
Electricity and Utilities
11
13.787
50
Construction
3
1.546
60
Commerce
312
313.68
70
Transportation, Storage and Communication
46
46.094
80
Financial, Insurance and Real Estate
13
11.335
90
Public Administration
231
214.302
100
Other services
818
794.945
998
Unspecified
0
0
999
Not stated
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
Industry classification of the main (current or last held) job of the second spouse
10
Agriculture and Fishing
5
3.752
20
Mining
0
0
30
Manufacturing
3
3.282
40
Electricity and Utilities
0
0
50
Construction
0
0
60
Commerce
3
1.586
70
Transportation, Storage and Communication
0
0
80
Financial, Insurance and Real Estate
0
0
90
Public Administration
0
0
100
Other services
2
1.174
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
Industry classification of the main (current or last held) job of the third spouse
10
Agriculture and Fishing
0
20
Mining
0
30
Manufacturing
0
40
Electricity and Utilities
0
50
Construction
0
60
Commerce
0
70
Transportation, Storage and Communication
0
80
Financial, Insurance and Real Estate
0
90
Public Administration
0
100
Other services
0
998
Unspecified
0
999
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the head [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
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
1
Agriculture, forestry and fishing
1872
1729.345
2
Mining and quarrying
35
25.765
3
Manufacturing
1026
1055.57
4
Electricity, gas, steam and air conditioning supply
92
88.914
5
Water supply; sewerage, waste management and remediation act
87
98.928
6
Construction
864
887.5
7
Wholesale and retail trade; repair of motor vehicles and mot
1205
1227.626
8
Transportation and storage
824
797.189
9
Accommodation and food service activities
187
209.156
10
Information and communication
55
56.793
11
Financial and insurance activities
56
56.362
12
Real estate activities
30
27.971
13
Professional, scientific and technical activities
113
120.95
14
Administrative and support service activities
79
73.543
15
Public administration and defense; compulsory social securit
978
930.126
16
Education
758
733.547
17
Human health and social work activities
176
180.176
18
Arts, entertainment and recreation
30
32.334
19
Other service activities
247
256.079
20
Household domestic services
54
77.686
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the first spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
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
1
Agriculture, forestry and fishing
758
711.608
2
Mining and quarrying
1
1.458
3
Manufacturing
120
112.17
4
Electricity, gas, steam and air conditioning supply
6
9.358
5
Water supply; sewerage, waste management and remediation act
5
4.429
6
Construction
3
1.546
7
Wholesale and retail trade; repair of motor vehicles and mot
312
313.68
8
Transportation and storage
12
7.384
9
Accommodation and food service activities
24
24.671
10
Information and communication
10
14.039
11
Financial and insurance activities
13
11.335
12
Real estate activities
0
0
13
Professional, scientific and technical activities
6
7.742
14
Administrative and support service activities
4
3.701
15
Public administration and defense; compulsory social securit
231
214.302
16
Education
587
548.827
17
Human health and social work activities
176
178.614
18
Arts, entertainment and recreation
5
4.306
19
Other service activities
15
15.805
20
Household domestic services
25
35.949
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the second spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
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
1
Agriculture, forestry and fishing
5
3.752
2
Mining and quarrying
0
0
3
Manufacturing
3
3.282
4
Electricity, gas, steam and air conditioning supply
0
0
5
Water supply; sewerage, waste management and remediation act
0
0
6
Construction
0
0
7
Wholesale and retail trade; repair of motor vehicles and mot
3
1.586
8
Transportation and storage
0
0
9
Accommodation and food service activities
0
0
10
Information and communication
0
0
11
Financial and insurance activities
0
0
12
Real estate activities
0
0
13
Professional, scientific and technical activities
0
0
14
Administrative and support service activities
0
0
15
Public administration and defense; compulsory social securit
0
0
16
Education
1
0.948
17
Human health and social work activities
0
0
18
Arts, entertainment and recreation
0
0
19
Other service activities
1
0.226
20
Household domestic services
0
0
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the third spouse [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
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
1
Agriculture, forestry and fishing
0
2
Mining and quarrying
0
3
Manufacturing
0
4
Electricity, gas, steam and air conditioning supply
0
5
Water supply; sewerage, waste management and remediation act
0
6
Construction
0
7
Wholesale and retail trade; repair of motor vehicles and mot
0
8
Transportation and storage
0
9
Accommodation and food service activities
0
10
Information and communication
0
11
Financial and insurance activities
0
12
Real estate activities
0
13
Professional, scientific and technical activities
0
14
Administrative and support service activities
0
15
Public administration and defense; compulsory social securit
0
16
Education
0
17
Human health and social work activities
0
18
Arts, entertainment and recreation
0
19
Other service activities
0
20
Household domestic services
0
21
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head.
1
Government
2308
2196.138
2
Public sector
376
363.729
3
Private sector
6033
6062.445
4
Joint/Cooperative
28
21.149
5
Foreign sector
0
0
6
Other
23
22.102
99
Not stated
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse.
1
Government
934
862.151
2
Public sector
26
26.112
3
Private sector
1318
1304.291
4
Joint/Cooperative
10
8.079
5
Foreign sector
0
0
6
Other
25
20.293
99
Not stated
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse.
1
Government
1
0.948
2
Public sector
0
0
3
Private sector
12
8.846
4
Joint/Cooperative
0
0
5
Foreign sector
0
0
6
Other
0
0
99
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the third spouse.
1
Government
0
2
Public sector
0
3
Private sector
0
4
Joint/Cooperative
0
5
Foreign sector
0
6
Other
0
99
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
8795
8699.556
3193
3297.552
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
2308
2196.138
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
376
363.729
210
Economic institutions
0
0
300
Private sector
2829
2943.735
310
Private investment
315
275.611
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
2889
2843.099
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
18
12.092
420
Cooperative
10
9.057
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
9
7.376
610
Non governmental organizations
14
14.726
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
27
33.994
Sysmiss
3193
3297.552
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the first spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
2346
2252.104
9642
9745.004
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
934
862.151
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
26
26.112
210
Economic institutions
0
0
300
Private sector
516
553.027
310
Private investment
38
27.373
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
764
723.891
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
5
3.723
420
Cooperative
5
4.356
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
14
12.411
610
Non governmental organizations
11
7.883
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
33
31.178
Sysmiss
9642
9745.004
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the second spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
13
9.793
11975
11987.315
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
1
0.948
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
0
0
210
Economic institutions
0
0
300
Private sector
5
3.295
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
7
5.551
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
0
0
420
Cooperative
0
0
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
0
0
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
11975
11987.315
Original survey variable renamed (Ref: Data dictionary.pdf)
Sector of employment of the third spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active spouses aged 6+ years
0
11988
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
0
110
Government- National
0
120
Government- Foreign
0
130
Government- Federal
0
140
Government- Local
0
200
Public sector
0
210
Economic institutions
0
300
Private sector
0
310
Private investment
0
320
Private- National
0
330
Private- National inside establishment
0
340
Private- National outside establishment
0
350
Private- Foreign
0
360
Private- Foreign inside establishment
0
370
Private- Foreign outside establishment
0
380
Private- Families
0
400
Joint/Cooperative
0
410
Joint
0
420
Cooperative
0
430
Joint local sector
0
500
Foreign sector
0
510
Diplomatic bodies
0
600
Other
0
610
Non governmental organizations
0
620
Non-profit associations
0
630
Charitable association
0
640
Outside establishment
0
650
Outside the country
0
660
UNRWA
0
999
Not stated
0
Sysmiss
11988
Original survey variable renamed (Ref: Data dictionary.pdf)
Expenses on food and non-alcoholic beverages
All households
11983
11990.532
5
6.576
604.608
131898
12888.295
12677.828
5501.456
5666.287
Expenses on food and non-alcoholic beverages. Ideally, corresponds to Code 01 of the COICOP classification (SUM of 01).
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Rice expenditures
All households
0
0
11988
11997.108
Expenditures on rice in all forms
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Grains and flour expenditures
All households
0
0
11988
11997.108
Wheat, Maize, Barely and all cereals in the grain or flour form
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Bread and cakes expenditures
All households
0
0
11988
11997.108
Bread in all forms, biscuits, cakes pizza..
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Pasta expenditures
All households
0
0
11988
11997.108
Macaroni, Noodles, Couscous ..
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cereal preparation expenditures
All households
0
0
11988
11997.108
Cornflakes, malt, tapioca..
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Bread and Cereals
All households
11975
11983.326
13
13.782
-5.68e-14
16588
1399.14
1399.705
757.861
780.421
Expenses on purchased Bread and Cereals
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Bread and Cereals
All households
0
0
11988
11997.108
Expenses on own-Produced Bread and Cereals
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Sheep and goats Meat expenditures
All households
0
0
11988
11997.108
Fresh frozen and tinned goats and sheep meat
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cow meat expenditures
All households
0
0
11988
11997.108
Fresh frozen and tinned cow meat
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other meat expenditures
All households
0
0
11988
11997.108
Fresh frozen and tinned camel, rabbit, pork etc. meat
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Chicken meat expenditures
All households
0
0
11988
11997.108
Fresh frozen and tinned chicken, turkey, birds etc. meat
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Luncheon and Tinned meat expenditures
All households
0
0
11988
11997.108
Fresh and frozen luncheon, tinned and others meat
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Meat and Poultry
All households
11778
11774.679
210
222.429
26
32604
3704.121
3694.248
2278.988
2362.552
Expenses on purchased Meat and Poultry
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Meat and Poultry
All households
0
0
11988
11997.108
Expenses on own-Produced Meat and Poultry
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fish expenditures
All households
0
0
11988
11997.108
Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Seafood expenditures
All households
0
0
11988
11997.108
Fresh, frozen and proceed seafood
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Fish and Seafood
All households
9398
9277.258
2590
2719.851
26
23920
1178.067
1074.82
1010.574
917.602
Expenses on purchased Fish and Seafood
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Fish and Seafood
All households
0
0
11988
11997.108
Expenses on own-Produced Fish and Seafood
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Milk expenditures
All households
0
0
11988
11997.108
Fresh, powder, condensed and infant powder milk expenses
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Yogurt expenditures
All households
0
0
11988
11997.108
Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cheese expenditures
All households
0
0
11988
11997.108
Processed, home made, tinned etc. cheese
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Eggs expenditures
All households
0
0
11988
11997.108
Eggs and wholly made egg products
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Dairy Products
All households
11924
11922.326
64
74.782
19.5
10764
1710.221
1729.4
1048.546
1071.462
Expenses on purchased Dairy Products
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Dairy Products
All households
0
0
11988
11997.108
Expenses on own-Produced Dairy Products
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Olive oil expenditures
All households
0
0
11988
11997.108
Olive oil
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other oils expenditures
All households
0
0
11988
11997.108
Corn, sunflower, soya etc
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Butter and margarine expenditures
All households
0
0
11988
11997.108
Butter, margarine, ghee, ...
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fat expenses
All households
0
0
11988
11997.108
Animal and vegetable fats and other edible
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Oil AND Fats
All households
11950
11955.153
38
41.955
26
5638.043
989.041
980.052
517.58
510.071
Expenses on purchased Oil & Fats
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Oil AND Fats
All households
0
0
11988
11997.108
Expenses on own-Produced Oil & Fats
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fruits expenses
All households
11755
11723.62
233
273.488
6.5
10452
798.053
801.48
584.101
594.071
Fresh, chilled, frozen, and tinned fruits, nuts
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Fruits
All households
0
0
11988
11997.108
Expenses on own-Produced Fruits
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Vegetables expenses
All households
11951
11955.317
37
41.791
-1.14e-13
10881
1803.079
1749.64
783.216
765.636
Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips..
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Vegetables
All households
0
0
11988
11997.108
Expenses on own-Produced Vegetables
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on sugar and jam expenditure
All households
11968
11976.103
20
21.005
26
29380
599.097
579.724
477.029
538.15
Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Sugar and Jam
All households
0
0
11988
11997.108
Expenses on own-Produced Sugar and Jam
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Spices expenditures
All households
11950
11955.692
38
41.416
6.5
4004
262.169
254.487
143.011
147.703
Salt, black pepper, sauces, seasonings, vanilla etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on Own-Produced Spices
All households
0
0
11988
11997.108
Expenses on Own-Produced Spices
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Beverages expenditure
All households
11953
11958.889
35
38.22
10.4
5200
461.191
471.721
373.59
410.26
Coffee, tea, water fruit end vegetable juices
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Beverages
All households
0
0
11988
11997.108
Expenses on own-Produced Beverages
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified food
All households
0
0
11988
11997.108
Includes all other purchased food items non-specified in the questionnaire
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified own-produced food
All households
0
0
11988
11997.108
Includes all other own produced food items non-specified in the questionnaire
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total purchased food
All households
11981
11988.787
7
8.321
45.5
131898
12554.065
12388.128
5521.719
5679.235
Total amounts of food and beverage purchased from the market
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total Own produced food
All households
0
0
11988
11997.108
Food and beverage own produced products, consumed or given away
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total Gifts and in-kind food
All households
3314
2915.929
8674
9081.179
2.6
21853
1216.109
1198.682
1547.964
1504.227
Food and beverage products received from other households
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on alcohol and tobacco
All households
5807
5800.523
6181
6196.585
42
21960
3488.337
3536.435
2608.172
2640.805
Expenses on alcoholic beverages, tobacco, and narcotics. Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Alcoholic expenditures
All households
0
0
11988
11997.108
Expenses on alcoholic beverages, spirits, wine, beer..
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Tobacco expenditures
All households
0
0
11988
11997.108
Expenses on tobacco, cigarettes, etc.
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on clothing and footwear
All households
11839
11828.512
149
168.596
2
76080
2159.405
2168.603
2204.219
2355.313
Expenses on clothing and footwear. Ideally, corresponds to Code 03 of the COICOP classification.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Clothes for men, women and children expenditures
All households
11432
11389.549
556
607.559
2
60400
1474.465
1475.833
1603.664
1647.651
Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Clothing material expenditures
All households
8976
8902.745
3012
3094.363
0.5
3000
164.405
163.057
202.635
205.66
Clothing material of all kind of fibers, tailoring and accessories
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Tailoring charges expenditures
All households
6505
6745.555
5483
5251.553
1
9600
137.584
153.571
253.024
331.748
All tailoring, cleaning, repairing charges of clothes
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Footwear expenditures
All households
11572
11558.473
416
438.635
2
20000
418.718
424.426
443.545
503.774
Shoes, sandals, boots and slipper for men and women, excluding those for school
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School Clothes, Uniforms and Footwear expenditures
All households
5704
5509.134
6284
6487.974
9
4000
261.75
263.015
258.538
285.673
School Clothes, Uniforms and Footwear expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on housing and utilities
All households
11988
11997.108
0
0
84
333832
6280.755
6514.285
5968.791
8018.288
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Actual rentals for housing expenditures
All households
1885
2232.324
10103
9764.785
4.5
27000
2735.033
2337.83
2980.356
2934.17
Actual rentals paid by tenants and other actual rentals
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Imputed rentals for housing expenditures
All households
10444
10125.258
1544
1871.851
240
300000
4844.102
5172.036
5594.814
7740.198
Imputed rentals of owners occupying their main residence and other imputed rentals
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Maintenance and repair for the Dwelling expenditures
All households
4833
4931.93
7155
7065.178
2
27000
438.983
477.692
1138.667
1319.424
Materials and services for the maintenance and repair of the dwelling
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Water supply and miscellaneous services relating to the dwelling expenditures
All households
11703
11739.082
285
258.026
3
10800
405.075
457.967
381.774
438.82
Water supply, refuse collection, sewage collection and others
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Electricity, gas and other fuels expenditures
All households
11966
11973.46
22
23.649
8
21540
1060.017
1071.832
606.347
703.223
Electricity, Gas, Liquid and solid fuels, Heat energy
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on furniture AND housing equipment
All households
11986
11995.968
2
1.14
5
90150
1468.527
1501.259
2111.31
2562.038
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Housing furnishings and furniture expenditures
All households
2384
2321.906
9604
9675.202
10
90000
678.392
745.378
2702.08
3513.697
Furniture and furnishings, carpets and other floor coverings
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Housing furnishings and furniture repair expenditures
All households
98
100.793
11890
11896.315
10
20000
831.439
1023.242
2285.04
2925.581
Furniture and furnishings repair
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Household textiles expenditures
All households
4611
4433.872
7377
7563.236
5
18000
338.703
344.832
659.474
740.242
Furnishing fabrics, bedding, bed linen, table linen and bathroom linen and repair of such articles.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Major Household appliances expenditures
All households
1762
1694.982
10226
10302.126
10
16200
1069.17
1060.856
1306.099
1369.016
Major household appliances whether electric or not
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Small Household appliances expenditures
All households
756
705.865
11232
11291.243
3
2500
172.582
170.993
263.492
266.365
Small electric appliances
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Repair of appliances expenditures
All households
5552
5338.707
6436
6658.401
2
4395
154.367
157.899
203.194
202.427
Repair of appliances expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Glassware, tableware and household utensils expenditures
All households
8126
8088.656
3862
3908.452
3
11215
81.573
82.479
247.455
290.55
Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Major other housing equipment and operation expenditures
All households
22
21.93
11966
11975.179
20
2000
676.136
763.25
613.266
707.754
Major tools and equipment for house and garden,
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Small other housing equipment and operation expenditures
All households
10727
10659.618
1261
1337.49
2
4080
69.373
71.409
93.44
88.611
Small tools and miscellaneous accessories
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Goods and services for routine household maintenance expenditures
All households
11982
11991.54
6
5.568
15
37304
838.586
870.564
868.442
1183.681
Non-durable household goods and domestic services
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on health
All households
11749
11801.479
239
195.629
1
204490
3290.543
3532.046
5888
6567.868
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Pharmaceutical and other medical products expenditures
All households
11700
11765.558
288
231.55
1
50700
1759.727
1897.052
2659.887
2840.282
Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Therapeutic appliances and equipment expenditures
All households
1027
1035.888
10961
10961.22
1
14500
328.614
327.932
733.009
617.085
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.;
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Outpatient and Hospital services expenditures
All households
11175
11206.282
813
790.826
1
202190
1586.961
1697.601
4771.341
5471.084
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on medical services Abroad
All households
0
0
11988
11997.108
Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on transport
All households
11911
11918.247
77
78.861
10
316114
2475.965
2662.197
8461.73
10407.537
Expenses on transport, including purchase of vehicles, operation of personal transport equipment, and transport services. Ideally, corresponds to Code 07 of the COICOP classification.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Purchase of transportation vehicles expenditures
All households
254
235.666
11734
11761.442
30
308000
23338.15
30772.511
46007.48
59220.392
Purchase of car, bicycles and animal trucked vehicles
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Operation of personal transport equipment expenditures
All households
2828
2690.827
9160
9306.281
5
124600
2268.045
2535.491
3984.993
4882.984
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
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Transportation services expenditures
All households
11784
11778.313
204
218.795
10
44000
1211.755
1250.576
1272.594
1378.97
Transportation by railway, road, air, sea and any other than school transport services
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School Transportation services expenditures
All households
3360
3245.346
8628
8751.763
10
12485
854.161
901.117
1010.207
1120.562
School Transportation services expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on communication
All households
11628
11634.001
360
363.107
4
69760
906.25
951.95
1171.61
1430.954
Expenses on communication, including postal services, telephone and telefax equipment, and telephone and telefax services. Ideally, corresponds to Code 08 of the COICOP classification.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Postal telephone and telefax services expenditures
All households
11625
11632.386
363
364.722
4
63760
847.609
891.144
1005.581
1252.216
Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Telephone and telefax equipment expenditures
All households
1191
1152.255
10797
10844.853
5
20600
574.661
615.191
1197.047
1256.671
Purchases of telephones, telefax machines, etc. and their repair
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on recreation and culture
All households
9476
9417.835
2512
2579.273
2
96050
931.502
993.84
3209.691
3213.967
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Durables for recreation and culture expenditures
All households
3003
2869.959
8985
9127.15
5
15600
282.217
291.729
735.459
781.708
Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Recreation and cultural equipments expenditures
All households
4346
4237.986
7642
7759.122
2
12100
100.152
102.381
317.842
279.811
Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Recreation and culture services expenditures
All households
8636
8591.904
3352
3405.204
1
86000
613.043
651.074
3122.885
3053.968
cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School recreation and culture services expenditures
All households
6034
6152.408
5954
5844.7
2
20000
372.874
405.486
601.265
706.628
School books and stationery, etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on education
All households
7398
7343.962
4590
4653.146
1
171500
2556.765
3034.239
6455.114
7758.718
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on pre-primary and primary education
All households
5223
5130.778
6765
6866.33
2
38400
1019.535
1174.299
2082.742
2432.256
Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on lower and upper-secondary education
All households
4314
4260.634
7674
7736.474
1
100500
2091.339
2454.951
3775.424
4091.495
Includes also out-of-school secondary education for adults and young people, private tutoring and tutoring groups
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on tertiary education
All households
1265
1327.748
10723
10669.36
10
160000
3578.997
4334.781
11055.12
13899.106
Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on education not defined by level
All households
76
75.518
11912
11921.59
10
3400
532.263
570.988
682.916
707.439
Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on education Abroad
All households
0
0
11988
11997.108
Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on restaurants and hotels
All households
11445
11600.009
543
397.099
13
143964
1367.431
1569.79
2229.268
2883.341
Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Catering services expenditures
All households
11430
11591.284
558
405.824
13
93964
1293.105
1481.58
1802.411
2277.273
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School restaurants expenditures
All households
0
0
11988
11997.108
Meals, snacks, and drinks provided in school restaurants
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Accommodation and hotel expenses
All households
499
439.022
11489
11558.086
5
50000
1743.609
2360.165
3594.194
5139.258
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on miscellaneous goods and services
All households
11986
11996.747
2
0.362
42
189085
2144.901
2170.464
3203.249
3518.88
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Personal care and personal effects expenditures
All households
11984
11992.772
4
4.336
24
46262
970.797
990.426
1053.209
1388.008
Hairdressing salons and appliances for personal care, Jewellery, clocks and miscellaneous personal articles
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Social protection expenditures
All households
1833
1967.489
10155
10029.619
10
15000
432.967
471.957
621.362
857.536
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.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Insurance and financial services expenditures
All households
8601
8480.933
3387
3516.175
2
10560
326.176
331.776
486.852
534.388
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
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Penalties and other fees expenditures
All households
5516
5336.663
6472
6660.445
1
26000
138.243
136.848
741.48
704.167
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
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Private transfers given expenditures
All households
11493
11526.585
495
470.523
6
162000
845.135
840.484
2594.491
2651.197
Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total food expenditures
All households
11985
11993.858
3
3.25
1930.005
225862
14119.368
14106.163
6327.285
6847.554
Total food expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenses on durables
All households
6253
6073.705
5735
5923.403
3
311000
1809.265
2088.25
10727.004
13466.272
Total expenses on durables
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenditures on actual and imputed rentals for housing
All households
11988
11997.108
0
0
4.5
300000
4650.262
4800.073
5386.293
7283.988
Total expenditures on actual and imputed rentals for housing
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenditures on non-food and non-durables
All households
11988
11997.108
0
0
768.5
844176
18305.584
19374.176
17790.401
20888.211
Total expenditures on non-food and non-durables
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenditures
All households
11988
11997.108
0
0
4004
1331074
36782.487
37902.333
27499.171
33257.924
Individual consumption expenditure of household. Ideally, corresponds to Codes 01 to 12 of the COICOP classification
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Lumpy expenses
All households
1326
1233.839
10662
10763.27
20
260000
11650.945
12129.609
21159.916
22015.948
Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Interests paid on consumption and loans
All households
0
0
11988
11997.108
Interest paid on loans for the purchase of consumption or durable goods
Sysmiss
11988
11997.108
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenditures on taxes and levies
All households
125
137.235
11863
11859.873
6
9000
311.792
358.158
969.889
1055.971
Taxes on consumption and durable goods, property taxes etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Net wages and salaries
Data Dictionary & Questionnaire/Codebook
All households
8282
8207.6
3706
3789.508
200
1200000
26724.685
27302.569
24265.074
28801.695
Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), net of employer and employee social insurance contributions and taxes.
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Self-employment income
Data Dictionary & Questionnaire/Codebook
All households
6117
5956.9
5871
6040.208
50
7000000
22073.193
23926.641
96061.706
107741.364
Profit/loss from unincorporated enterprises. The income is recorded gross of social insurance contributions (but net of expenses).
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Income less expenses from rentals
Data Dictionary & Questionnaire/Codebook
All households
10401
10092.785
1587
1904.323
100
295000
4677.945
4996.394
5465.556
7398.513
Rentals from dwellings, business buildings, vehicles, equipment, etc excludes rent from land
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Property income
Data Dictionary & Questionnaire/Codebook
All households
1172
1269.913
10816
10727.195
30
270000
12202.313
13449.352
20269.041
24633.004
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Current transfers received
Data Dictionary & Questionnaire/Codebook
All households
11850
11830.736
138
166.372
13
400917.5
8539.126
9215.116
12761.346
14925.041
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Total disposable income
Data Dictionary & Questionnaire/Codebook
All households
11988
11997.108
0
0
2745
7063635
43418.471
45273.061
78659.057
91330.96
Total disposable income
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Country
Data Dictionary & Questionnaire/Codebook
All households
52254
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
818
Egypt
52254
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Year during which the survey was performed
2015
52254
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Sequential anonymous household identifier usually provided in the dataset
Original survey variable renamed (Ref: Data dictionary.pdf)
Primary Sampling Unit identifier
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Primary Sampling Unit Identifier usually provided in the dataset
1
858
2
922
3
884
4
866
5
689
6
892
7
809
8
711
9
707
10
693
11
639
12
644
13
591
14
707
15
689
16
492
17
618
18
547
19
546
20
537
21
473
22
573
23
545
24
417
25
537
26
569
27
587
28
516
29
446
30
496
31
450
32
491
33
424
34
558
35
488
36
392
37
520
38
380
39
440
40
328
41
453
42
370
43
343
44
265
45
348
46
376
47
311
48
270
49
337
50
378
51
195
52
140
53
246
54
235
55
200
56
201
57
225
58
243
59
134
60
64
61
219
62
245
63
115
64
99
65
181
66
175
67
216
68
208
69
168
70
244
71
199
72
46
73
156
74
238
75
160
76
167
77
206
78
234
79
164
80
117
81
137
82
221
83
117
84
153
85
187
86
253
87
276
88
58
89
185
90
218
91
89
92
144
93
205
94
299
95
167
96
64
97
170
98
221
99
184
100
107
101
194
102
194
103
123
104
96
105
158
106
232
107
92
108
127
109
177
110
208
111
173
112
86
113
153
114
251
115
143
116
21
117
131
118
157
119
112
120
72
121
170
122
188
123
171
124
172
125
229
126
168
127
99
128
66
129
144
130
111
131
168
132
86
133
153
134
133
135
34
136
105
137
171
138
135
139
136
140
95
141
144
142
78
143
99
144
63
145
112
146
120
147
71
148
88
149
117
150
136
151
126
152
68
153
79
154
110
155
111
156
48
157
74
158
142
159
88
160
25
161
37
162
103
163
77
164
77
165
80
166
92
167
82
168
33
169
21
170
116
171
149
172
57
173
73
174
59
175
57
176
51
177
44
178
79
179
97
180
41
181
18
182
103
183
126
184
74
185
34
186
80
187
66
188
30
189
32
190
16
191
40
192
44
193
40
194
95
195
95
196
48
197
42
198
80
199
86
200
24
201
16
202
56
203
85
204
24
205
40
206
76
207
52
208
46
209
43
210
82
211
66
212
23
213
48
214
69
215
56
216
19
218
34
220
18
221
51
222
69
223
43
224
40
225
50
226
36
227
35
228
17
230
45
231
27
232
16
233
46
234
37
235
12
236
23
237
41
238
78
239
39
240
14
241
56
242
54
243
34
244
27
245
12
246
35
247
16
249
39
250
49
251
19
252
18
253
65
254
21
255
39
256
22
257
48
258
55
259
21
260
16
261
44
262
39
265
40
267
23
268
24
270
31
271
20
272
22
273
33
274
28
275
21
277
22
278
14
281
12
282
26
285
37
286
28
289
21
290
14
293
18
294
29
297
23
298
38
301
63
304
28
305
40
306
46
308
17
309
78
310
69
313
20
314
28
316
18
317
29
318
40
319
23
321
39
322
27
324
16
325
9
326
19
328
23
329
46
330
48
333
86
334
27
336
22
337
56
338
26
341
34
342
24
344
17
345
17
346
40
348
15
349
40
350
42
353
26
354
20
357
25
358
21
361
40
362
21
366
48
369
37
370
21
373
25
377
34
378
45
381
29
382
24
386
38
389
33
390
31
393
25
394
8
397
31
398
11
401
14
402
26
405
22
406
7
409
37
410
23
413
26
414
42
417
45
418
36
421
38
422
18
426
13
429
24
431
16
434
16
437
12
438
16
445
23
449
20
454
20
457
12
458
12
465
15
466
17
469
20
474
9
477
21
478
19
485
17
486
18
489
24
497
20
498
11
502
17
505
16
510
22
513
25
601
31
602
26
604
10
606
24
609
25
611
23
613
18
614
30
616
18
617
22
618
21
619
18
620
14
621
17
622
23
623
18
627
9
628
23
629
18
630
19
632
21
635
21
639
13
640
23
644
27
647
25
648
15
651
15
656
24
659
15
660
13
663
14
668
18
671
18
672
19
675
17
683
22
Original survey variable renamed (Ref: Data dictionary.pdf)
Household weight
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
0.0875
5.975
0.979
0.613
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Region of residence
1
Cairo
2941
5793.669
2
Alexandria
1952
3297.598
3
Port Said
2018
378.237
4
Suez
1960
324.846
5
Helwan
0
0
6
6 of October
0
0
11
Damietta
1920
738.447
12
Dakahlia
2395
3310.994
13
Sharkia
2632
3908.46
14
Qualioubia
2104
3087.123
15
Kafr Elsheikh
2035
1788.361
16
Gharbia
1987
2921.902
17
Monofia
2163
2416.159
18
Beheira
2279
3354.547
19
Ismailya
2135
700.123
21
Giza
2921
4550.821
22
Bani Swef
2271
1470.576
23
Fayoum
2315
1797.705
24
Menia
2323
2930.849
25
Assiut
2487
2566.838
26
Sohag
2375
1520.51
27
Qena
2231
1748.989
28
Aswan
2178
882.671
29
Luxor
2396
864.634
31
ElBahr ElAhmar
469
158.593
32
ElWadi ElGadid
332
116.149
33
Matrouh
576
168.953
34
North Sinai
675
299.125
35
South Sinai
184
82.24
Original survey variable renamed (Ref: Data dictionary.pdf)
Area
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
1
Urban Governorates
8871
2
Urban Lower Egypt
4931
3
Rural Lower Egypt
14719
4
Urban Upper Egypt
6181
5
Rural Upper Egypt
15316
6
Urban Frontier
1560
7
Rural Frontier
676
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicates whether the region is urban/rural
0
Rural
30711
29106.322
1
Urban
21543
22072.797
2
Refugee camps
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Person identifier
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Person identification number (usually the person line number in the household)
1
11988
11997.108
2
11253
11208.651
3
9842
9724.817
4
8219
8049.835
5
5705
5479.899
6
2928
2691.631
7
1316
1181.917
8
556
464.786
9
229
190.753
10
104
89.951
11
46
41.318
12
25
21.774
13
9
7.14
14
7
5.515
15
4
3.9
16
4
3.9
17
4
3.9
18
4
3.9
19
4
3.9
20
3
2.508
21
2
1.324
22
1
0.347
23
1
0.347
Original survey variable renamed (Ref: Data dictionary.pdf)
Age
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
0
130
27.79
28.135
20.295
20.33
Age in years.
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicator for gender of individual.
1
Male
26272
25655.315
2
Female
25982
25523.804
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 18+ years
31448
31143.673
20806
20035.446
Legal administrative status concerning marriage & partnership (even if not married, a person can be still legally recognized as being in a relationship).
1
Never married
7670
7573.289
2
Married monogamous
20545
20302.773
3
Married polygamous
187
158.068
4
Divorced/Separated
558
574.447
5
Widowed
2488
2535.096
99
Not stated
0
0
Sysmiss
20806
20035.446
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 18+ years
31448
31143.673
20806
20035.446
Legal administrative status concerning marriage & partnership (even if not married, a person can be still legally recognized as being in a relationship)
100
Never married
7670
7573.289
200
Married monogamous
0
0
210
Legally married
113
99.523
220
Married
20432
20203.25
300
Married polygamous
187
158.068
400
Divorced/Separated
0
0
410
Separated
100
95.632
420
Divorced
458
478.815
500
Widowed
2488
2535.096
999
Not stated
0
0
Sysmiss
20806
20035.446
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
1
Head of household
11988
11997.108
2
Spouse
9473
9380.722
3
Son/daughter
27152
26291.413
4
Father/Mother (parents)
624
590.308
5
Brother/sister
377
354.731
6
Grandchildren
1657
1629.903
7
Other relatives
932
871.998
8
Other non-relatives
51
62.935
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
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.
100
Head of household
11988
11997.108
200
Spouse
9473
9380.722
300
Son/Daughter
27152
26291.413
310
Adopted children
0
0
400
Father/mother (parents)
624
590.308
500
Brother/sister
377
354.731
600
Grandchildren
1657
1629.903
700
Other relatives
382
348.877
710
Son/daughter in law
550
523.121
720
Grandparents
0
0
730
Father/mother in law
0
0
740
Brother/sister in law
0
0
750
Nephew/niece
0
0
800
Other non-relatives
51
62.935
810
Servants
0
0
820
Doorkeeper
0
0
830
Driver
0
0
840
Shepherd
0
0
850
Farmer
0
0
860
Others
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Father present at home
Data Dictionary & Questionnaire/Codebook
All individuals
39853
39014.788
12401
12164.33
Indicates whether the father is present at home, not a household member or dead.
1
Yes
25081
24269.21
2
Father is not a household member
14772
14745.579
3
Father is dead
0
0
Sysmiss
12401
12164.33
Generated by ERF
Mother present at home
Data Dictionary & Questionnaire/Codebook
All individuals
41020
40115.704
11234
11063.415
Indicates whether the mother is present at home, not a household member or dead.
1
Yes
28916
27938.355
2
Mother is not a household member
12104
12177.349
3
Mother is dead
0
0
Sysmiss
11234
11063.415
Generated by ERF
ID of the father
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
Indicates the PNUM (the line number in the HH) of the father
1
23884
23122.102
2
360
352.818
3
399
405.235
4
158
140.997
5
90
74.327
6
83
75.412
7
43
33.107
8
29
33.517
9
17
15.476
10
2
2.162
11
5
1.555
12
6
6.789
14
2
1.954
16
2
2.367
17
1
1.392
Sysmiss
27173
26909.909
Generated by ERF
ID of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
Indicates the PNUM (the line number in the HH) of the mother
1
3268
3169.311
2
23635
22850.921
3
598
580.072
4
447
441.347
5
348
330.044
6
276
245.449
7
159
147.914
8
90
77.548
9
59
64.922
10
17
13.349
11
2
2.162
12
4
2.12
13
6
6.789
15
2
1.954
16
2
0.694
17
2
2.367
18
1
1.392
Sysmiss
23338
23240.764
Generated by ERF
Age of the father
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
18
96
46.113
45.988
10.811
10.665
Indicates the Age of the father
Generated by ERF
Age of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
18
100
40.678
40.703
11.292
11.312
Indicates the Age of the mother
Generated by ERF
Marital status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
Indicates the Marital status of the father [Standardized version]
1
Never married
0
0
2
Married monogamous
24159
23403.786
3
Married polygamous
509
411.417
4
Divorced/Separated
89
92.223
5
Widowed
324
361.784
99
Not stated
0
0
Sysmiss
27173
26909.909
Generated by ERF
Marital status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
Indicates the Marital status of the mother [Standardized version]
1
Never married
0
0
2
Married monogamous
25810
24893.993
3
Married polygamous
0
0
4
Divorced/Separated
476
501.746
5
Widowed
2630
2542.616
99
Not stated
0
0
Sysmiss
23338
23240.764
Generated by ERF
Marital status of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
Indicates the Marital status of the father
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
24159
23403.786
300
Married polygamous
509
411.417
400
Divorced/Separated
0
0
410
Separated
18
15.181
420
Divorced
71
77.041
500
Widowed
324
361.784
999
Not stated
0
0
Sysmiss
27173
26909.909
Generated by ERF
Marital status of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
Indicates the Marital status of the mother
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
25810
24893.993
300
Married polygamous
0
0
400
Divorced/Separated
0
0
410
Separated
111
118.923
420
Divorced
365
382.822
500
Widowed
2630
2542.616
999
Not stated
0
0
Sysmiss
23338
23240.764
Generated by ERF
Educational level of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicates the Educational level of the father [Standardized version]
1
None
30248
29281.77
2
Primary/Lower secondary
5613
5738.901
3
Secondary
10581
10041.991
4
Post secondary or equivalent
1524
1445.564
5
University
4066
4362.347
6
Postgraduate
222
308.546
99
Not stated
0
0
Generated by ERF
Educational level of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicates the Educational level of the mother [Standardized version]
1
None
34202
33478.632
2
Primary/Lower secondary
4637
4465.15
3
Secondary
9441
9023.413
4
Post secondary or equivalent
1007
1014.092
5
University
2873
3065.335
6
Postgraduate
94
132.496
99
Not stated
0
0
Generated by ERF
Educational level of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicates the Educational level of the father
100
None
0
0
110
Illiterate
22526
21448.75
120
Read only
0
0
130
Read AND write
6766
6980.65
140
Literacy classes/certificate
956
852.37
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
3463
3500.032
220
Preparatory
2150
2238.869
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
632
637.473
320
Professional/Vocational secondary
9949
9404.518
400
Post secondary or equivalent
1524
1445.564
500
University
4066
4362.347
600
Postgraduate
222
308.546
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Generated by ERF
Educational level of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
52254
51179.119
0
0
Indicates the Educational level of the mother
100
None
0
0
110
Illiterate
29734
28872.763
120
Read only
0
0
130
Read AND write
4075
4246.919
140
Literacy classes/certificate
393
358.951
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
2744
2631.316
220
Preparatory
1893
1833.835
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
556
554.873
320
Professional/Vocational secondary
8885
8468.54
400
Post secondary or equivalent
1007
1014.092
500
University
2873
3065.335
600
Postgraduate
94
132.496
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Generated by ERF
Main activity of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
1
Employed
22687
21895.731
2
Unemployed
136
140.51
3
Homemaker (Housewife)
0
0
4
Student
11
13.62
5
Pensioners/retired/disabled
2116
2067.847
6
Others
126
144.775
99
Not stated
5
6.727
Sysmiss
27173
26909.909
Generated by ERF
Main activity of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
1
Employed
7302
6945.543
2
Unemployed
545
526.625
3
Homemaker (Housewife)
19561
18953.038
4
Student
13
14.348
5
Pensioners/retired/disabled
1092
1089.928
6
Others
17
15.67
99
Not stated
386
393.203
Sysmiss
23338
23240.764
Generated by ERF
Main activity of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
25081
24269.21
27173
26909.909
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.
100
Employed
166
174.08
110
Employed during last week
22514
21714.278
120
Employed but temporary absent from work
7
7.373
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
116
117.464
220
Unemployed never worked (looking for a job)
15
18.672
230
Temporary unemployed (in military services)
5
4.374
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
0
0
330
Working housewife
0
0
400
Student
2
0.427
410
Working student
9
13.193
500
Pensioners/retired/disabled
0
0
510
Pensioners
827
818.341
520
Retired
0
0
530
Disabled
485
485.524
540
Unable to work
0
0
550
Old
804
763.982
560
Disabled/Old/Ill
0
0
600
Others
9
6.01
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
7
10.668
650
Not working and not looking for a job
110
128.097
660
Landlord
0
0
670
Child
0
0
999
Not stated
5
6.727
Sysmiss
27173
26909.909
Generated by ERF
Main activity of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
28916
27938.355
23338
23240.764
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.
100
Employed
383
306.185
110
Employed during last week
6887
6604.698
120
Employed but temporary absent from work
32
34.66
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
159
146.35
220
Unemployed never worked (looking for a job)
386
380.275
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
1558
1493.818
320
Housewife
18003
17459.221
330
Working housewife
0
0
400
Student
13
14.348
410
Working student
0
0
500
Pensioners/retired/disabled
0
0
510
Pensioners
173
178.146
520
Retired
0
0
530
Disabled
219
218.83
540
Unable to work
0
0
550
Old
700
692.951
560
Disabled/Old/Ill
0
0
600
Others
3
3.34
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
14
12.33
660
Landlord
0
0
670
Child
0
0
999
Not stated
386
393.203
Sysmiss
23338
23240.764
Generated by ERF
Employment status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the father, ideally following the ICSE classification.
1
Employee
14630
14133.903
2
Employer
4855
4696.136
3
Own-account, self-employed
3121
2985.917
4
Contributing (unpaid) family worker
80
83.437
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
131
131.369
Sysmiss
29437
29148.357
Generated by ERF
Employment status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the mother, ideally following the ICSE classification.
1
Employee
3534
3421.354
2
Employer
405
376.974
3
Own-account, self-employed
1279
1189.973
4
Contributing (unpaid) family worker
2052
1922.581
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
191
181.01
Sysmiss
44793
44087.226
Generated by ERF
Occupation classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Occupation classification for the main (current or last held) job of the father
10
Legislators, senior officials and managers
2486
2508.983
20
Professionals
2352
2352.289
30
Technicians and associate professionals
2312
2052.292
40
Clerks
718
677.65
50
Service workers and shop and market sales workers
2144
2087.241
60
Skilled agricultural and fishery workers
4242
3871.219
70
Craft and related trades workers
3625
3614.041
80
Plant and machine operators, and assemblers
2759
2755.242
90
Elementary occupations
2120
2049.237
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Occupation classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
10
Legislators, senior officials and managers
329
313.423
20
Professionals
1529
1468.408
30
Technicians and associate professionals
927
835.575
40
Clerks
279
233.32
50
Service workers and shop and market sales workers
857
860.74
60
Skilled agricultural and fishery workers
2613
2392
70
Craft and related trades workers
105
100.104
80
Plant and machine operators, and assemblers
188
189.047
90
Elementary occupations
532
597.558
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Occupation classification for the main job of the father [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Occupation classification for the main (current or last held) job of the father, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
2486
2508.983
2
Professionals
2352
2352.289
3
Technicians and associate professionals
2312
2052.292
4
Clerks
718
677.65
5
Service workers and shop and market sales
2144
2087.241
6
Skilled agricultural and fishery workers
4242
3871.219
7
Craft and related trades
3625
3614.041
8
Plant and machine operators and assemblers
2759
2755.242
9
Elementary occupations
2120
2049.237
10
Armed Forces
0
0
9999
Unspecified code
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Occupation classification for the main job of the mother [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
Occupation classification for the main (current or last held) job of the mother, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
329
313.423
2
Professionals
1529
1468.408
3
Technicians and associate professionals
927
835.575
4
Clerks
279
233.32
5
Service workers and shop and market sales
857
860.74
6
Skilled agricultural and fishery workers
2613
2392
7
Craft and related trades
105
100.104
8
Plant and machine operators and assemblers
188
189.047
9
Elementary occupations
532
597.558
10
Armed Forces
0
0
9999
Unspecified code
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Industry classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Industry classification of the main (current or last held) job of the father
10
Agriculture and Fishing
4476
4049.028
20
Mining
97
73.132
30
Manufacturing
2661
2693.585
40
Electricity and Utilities
506
502.622
50
Construction
2467
2461.763
60
Commerce
2963
2984.384
70
Transportation, Storage and Communication
2964
2885.941
80
Financial, Insurance and Real Estate
226
217.404
90
Public Administration
2690
2465.679
100
Other services
3708
3634.658
998
Unspecified
0
0
999
Not stated
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Industry classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
Industry classification of the main (current or last held) job of the mother
10
Agriculture and Fishing
2632
2400.812
20
Mining
2
2.917
30
Manufacturing
369
337.62
40
Electricity and Utilities
36
42.812
50
Construction
4
7.124
60
Commerce
1107
1091.697
70
Transportation, Storage and Communication
150
161.72
80
Financial, Insurance and Real Estate
37
35.601
90
Public Administration
607
579.784
100
Other services
2415
2330.091
998
Unspecified
0
0
999
Not stated
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Industry classification for the main job of the father [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
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
1
Agriculture, forestry and fishing
4476
4049.028
2
Mining and quarrying
97
73.132
3
Manufacturing
2661
2693.585
4
Electricity, gas, steam and air conditioning supply
259
237.319
5
Water supply; sewerage, waste management and remediation act
247
265.303
6
Construction
2467
2461.763
7
Wholesale and retail trade; repair of motor vehicles and mot
2963
2984.384
8
Transportation and storage
2354
2250.668
9
Accommodation and food service activities
481
508.329
10
Information and communication
129
126.943
11
Financial and insurance activities
147
146.046
12
Real estate activities
79
71.358
13
Professional, scientific and technical activities
281
301.239
14
Administrative and support service activities
201
167.493
15
Public administration and defense; compulsory social securit
2690
2465.679
16
Education
1991
1889.79
17
Human health and social work activities
348
333.699
18
Arts, entertainment and recreation
88
91.476
19
Other service activities
669
668.834
20
Household domestic services
130
182.127
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Industry classification for the main job of the mother [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
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
1
Agriculture, forestry and fishing
2632
2400.812
2
Mining and quarrying
2
2.917
3
Manufacturing
369
337.62
4
Electricity, gas, steam and air conditioning supply
14
17.091
5
Water supply; sewerage, waste management and remediation act
22
25.721
6
Construction
4
7.124
7
Wholesale and retail trade; repair of motor vehicles and mot
1107
1091.697
8
Transportation and storage
23
18.649
9
Accommodation and food service activities
98
98.149
10
Information and communication
29
44.922
11
Financial and insurance activities
36
33.881
12
Real estate activities
1
1.72
13
Professional, scientific and technical activities
16
15.893
14
Administrative and support service activities
16
19.876
15
Public administration and defense; compulsory social securit
607
579.784
16
Education
1704
1576.36
17
Human health and social work activities
535
530.503
18
Arts, entertainment and recreation
20
11.299
19
Other service activities
36
36.536
20
Household domestic services
88
139.625
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Sector of employment of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father.
1
Government
6271
5806.552
2
Public sector
978
925.014
3
Private sector
15397
15135.123
4
Joint/Cooperative
75
61.615
5
Foreign sector
0
0
6
Other
37
39.891
99
Not stated
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Sector of employment of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother.
1
Government
2637
2446.663
2
Public sector
85
73.366
3
Private sector
4524
4380.532
4
Joint/Cooperative
26
21.955
5
Foreign sector
0
0
6
Other
87
67.662
99
Not stated
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Sector of employment of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
22817
22030.762
29437
29148.357
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
6271
5806.552
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
978
925.014
210
Economic institutions
0
0
300
Private sector
7140
7219.141
310
Private investment
832
732.797
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
7425
7183.184
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
51
35.636
420
Cooperative
24
25.98
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
19
16.801
610
Non governmental organizations
18
23.09
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
59
62.568
Sysmiss
29437
29148.357
Generated by ERF
Sector of employment of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
7461
7091.893
44793
44087.226
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
2637
2446.663
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
85
73.366
210
Economic institutions
0
0
300
Private sector
1741
1792.699
310
Private investment
94
74.134
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
2689
2513.698
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
11
9.915
420
Cooperative
15
12.041
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
36
31.649
610
Non governmental organizations
51
36.013
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
102
101.716
Sysmiss
44793
44087.226
Generated by ERF
Literacy status
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
40585
40076.459
11669
11102.66
This variable indicates whether the person is literate (can read and write) or not
0
No
8345
8208.768
1
Can read AND write
32240
31867.691
Sysmiss
11669
11102.66
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Ever attended school
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
47973
47178.569
4281
4000.55
This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school
0
No
10317
10007.548
1
Yes
37656
37171.021
99
Not stated
0
0
Sysmiss
4281
4000.55
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
40585
40076.459
11669
11102.66
Highest level of education attained.
1
None
14458
14244.817
2
Primary/Lower secondary
10650
10382.277
3
Secondary
10587
10209.575
4
Post secondary or equivalent
1097
1085.569
5
University
3643
3959.517
6
Postgraduate
150
194.705
99
Not stated
0
0
Sysmiss
11669
11102.66
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
40585
40076.459
11669
11102.66
Highest level of education attained
100
None
0
0
110
Illiterate
8345
8208.768
120
Read only
0
0
130
Read AND write
5691
5659.038
140
Literacy classes/certificate
422
377.011
150
Never attended school
0
0
160
KG
0
0
170
Koranic KG (Kouttab)
0
0
180
Attending elementary school and did not complete first level
0
0
200
Primary/Lower secondary
0
0
210
Primary
6130
5993.923
220
Preparatory
4520
4388.354
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
1939
2059.206
320
Professional/Vocational secondary
8648
8150.369
400
Post secondary or equivalent
1097
1085.569
500
University
3643
3959.517
600
Postgraduate
150
194.705
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
11669
11102.66
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Number of effective years of schooling
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
40538
40029.112
11716
11150.007
0
20
7.891
7.968
5.256
5.311
This is a continuous variable of the number of years of formal schooling completed.
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
School attendance status
Data Dictionary & Questionnaire/Codebook
All individuals aged 4+ years
47973
47178.569
4281
4000.55
Indicates whether the individual is currently attending school
0
No
32158
31667.067
1
Yes
15815
15511.502
Sysmiss
4281
4000.55
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Level of schooling presently attending
Data Dictionary & Questionnaire/Codebook
Currently enrolled individuals
15815
15511.502
36439
35667.617
PENROL ideally provides information on the level of education in which the individual is enrolled.
1
Primary
6923
6762.785
2
Lower secondary
3394
3295.179
3
Higher secondary- academic
1606
1617.3
4
Higher secondary- technical/vocational
1342
1242.827
5
Post secondary- technical
209
202.614
6
University
1515
1642.165
7
Postgraduate
47
47.764
8
Other
779
700.867
Sysmiss
36439
35667.617
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of school attending
Data Dictionary & Questionnaire/Codebook
Currently enrolled individuals
15815
36439
1
Public
13918
2
Private
882
3
Koranic
1015
4
Adult literacy
0
5
Other
0
Sysmiss
36439
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Disability status
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Indicates whether the individual have any type of disability or not
0
51237
1
1017
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of disability
Data Dictionary & Questionnaire/Codebook
Individuals reported disabled
1017
51237
This variable specifies, if available, the type of disability
1
183
2
166
6
387
8
230
10
51
Sysmiss
51237
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Chronic Disease
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Chronic Disease
0
No
41078
1
Yes
11176
99
Not stated
0
Health Insurance
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Health Insurance
0
No
25604
1
Yes
26650
99
Not stated
0
Kind of Health Insurance- Governmental
Data Dictionary & Questionnaire/Codebook
Individuals reported having heaith insurance
26650
25604
Kind of Health Insurance- Governmental
0
No
1308
1
Yes
25342
99
Not stated
0
Sysmiss
25604
Kind of Health Insurance- Private
Data Dictionary & Questionnaire/Codebook
Individuals reported having heaith insurance
26650
25604
Kind of Health Insurance- Private
0
No
25648
1
Yes
1002
99
Not stated
0
Sysmiss
25604
Kind of Health Insurance- Other
Data Dictionary & Questionnaire/Codebook
Individuals reported having heaith insurance
26650
25604
Kind of Health Insurance- Other
0
No
26344
1
Yes
306
99
Not stated
0
Sysmiss
25604
Social Security
Data Dictionary & Questionnaire/Codebook
All individuals
52254
0
Social Security
0
No
42174
1
Yes
10080
99
Not stated
0
Labor force status in the current period
Data Dictionary & Questionnaire/Codebook
All individuals aged 6+ years
45347
44695.218
6907
6483.901
Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.
1
Active
17333
16897.804
2
Inactive
27633
27409.031
99
Not stated
381
388.383
Sysmiss
6907
6483.901
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status in the current period [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 6+ years
45347
44695.218
6907
6483.901
1
Employed
15607
15305.798
2
Unemployed
1232
1146.796
3
Homemaker (Housewife)
9470
9328.193
4
Student
14705
14490.339
5
Pensioners/retired/disabled
3201
3304.261
6
Others
751
731.447
99
Not stated
381
388.383
Sysmiss
6907
6483.901
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status in the current period [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 6+ years
45347
44695.218
6907
6483.901
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.
100
Employed
274
243.166
110
Employed during last week
15313
15042.015
120
Employed but temporary absent from work
20
20.617
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
273
262.202
220
Unemployed never worked (looking for a job)
523
473.42
230
Temporary unemployed (in military services)
436
411.174
300
Homemaker (Housewife)
0
0
310
Homemaker
2237
2129.85
320
Housewife
7233
7198.343
330
Working housewife
0
0
400
Student
14211
14045.129
410
Working student
494
445.21
500
Pensioners/retired/disabled
0
0
510
Pensioners
645
691.438
520
Retired
0
0
530
Disabled
684
700.995
540
Unable to work
0
0
550
Old
1872
1911.827
560
Disabled/Old/Ill
0
0
600
Others
31
24.624
610
Out of labor force
0
0
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
6
6.646
650
Not working and not looking for a job
427
423.168
660
Landlord
0
0
670
Child
287
277.009
999
Not stated
381
388.383
Sysmiss
6907
6483.901
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Status of Employment
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
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.
1
Employee
10344
10183.247
2
Employer
2316
2291.045
3
Own-account, self-employed
1977
1905.635
4
Contributing (unpaid) family worker
1436
1343.139
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
737
701.318
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
International Standard Occupational classification of the main (current or last held) job
10
Legislators, senior officials and managers
1216
1252.344
20
Professionals
1900
1971.404
30
Technicians and associate professionals
1517
1400.571
40
Clerks
487
463.13
50
Service workers and shop and market sales workers
1885
1872.048
60
Skilled agricultural and fishery workers
3621
3326.257
70
Craft and related trades workers
2617
2550.082
80
Plant and machine operators, and assemblers
1613
1639.584
90
Elementary occupations
1407
1423.97
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
Occupation classification for the main (current or last held) job, an unrecoded version presenting codes as collected and received in the original dataset
1
Legislators, senior officials and managers
1216
1252.344
2
Professionals
1900
1971.404
3
Technicians and associate professionals
1517
1400.571
4
Clerks
487
463.13
5
Service workers and shop and market sales
1885
1872.048
6
Skilled agricultural and fishery workers
3621
3326.257
7
Craft and related trades
2617
2550.082
8
Plant and machine operators and assemblers
1613
1639.584
9
Elementary occupations
1407
1423.97
10
Armed Forces
0
0
9999
Unspecified code
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Industry classification for the main job [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
Industry classification of the main (current or last held) job
10
Agriculture and Fishing
3771
3438.931
20
Mining
46
36.848
30
Manufacturing
1912
1958.64
40
Electricity and Utilities
242
264.112
50
Construction
1711
1650.212
60
Commerce
2391
2431.821
70
Transportation, Storage and Communication
1734
1713.398
80
Financial, Insurance and Real Estate
133
137.001
90
Public Administration
1370
1287.693
100
Other services
2953
2980.734
998
Unspecified
0
0
999
Not stated
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Industry classification for the main job [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
Industry classification for the main (current or last held) job, an unrecoded version presenting codes as collected and received in the original dataset
1
Agriculture, forestry and fishing
3771
3438.931
2
Mining and quarrying
46
36.848
3
Manufacturing
1912
1958.64
4
Electricity, gas, steam and air conditioning supply
119
123.054
5
Water supply; sewerage, waste management and remediation act
123
141.058
6
Construction
1711
1650.212
7
Wholesale and retail trade; repair of motor vehicles and mot
2391
2431.821
8
Transportation and storage
1231
1184.475
9
Accommodation and food service activities
413
416.279
10
Information and communication
90
112.645
11
Financial and insurance activities
93
89.98
12
Real estate activities
40
47.021
13
Professional, scientific and technical activities
190
218.597
14
Administrative and support service activities
147
144.675
15
Public administration and defense; compulsory social securit
1370
1287.693
16
Education
1567
1492.966
17
Human health and social work activities
493
504.393
18
Arts, entertainment and recreation
61
59.002
19
Other service activities
396
419.072
20
Household domestic services
99
142.029
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Sector of employment [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16810
16424.384
35444
34754.735
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.
1
Government
3701
3496.899
2
Public sector
503
489.601
3
Private sector
11924
11798.962
4
Joint/Cooperative
59
44.699
5
Foreign sector
0
0
6
Other
76
69.229
99
Not stated
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Sector of employment [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed active individuals aged 6+ years
16810
16424.384
35444
34754.735
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
3701
3496.899
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
503
489.601
210
Economic institutions
0
0
300
Private sector
5556
5787.409
310
Private investment
623
532.873
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
5745
5478.68
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
38
26.448
420
Cooperative
21
18.251
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
30
26.902
610
Non governmental organizations
46
42.327
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
547
524.995
Sysmiss
35444
34754.735
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)