Template_project
EGY_HIECS_2017_HD_V3.0
Economic Research Forum
2021-02
Nesstar Publisher
Version 3
Household Income, Expenditure, and Consumption Survey, HIECS 2017/2018
HIECS 2017-2018
EGY_HIECS_2017_HD_V3.0
Economic Research Forum
Central Agency For Public Mobilization & Statistics
(c) 2023, Economic Research Forum | (c) 2018, 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 2017/2018, is the Thirteenth in this long series.
Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.
CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the fourth 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 2017/2018 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 26 thousand households. It was distributed between urban and rural with the percentages of 45% and 55%, respectively.
2- Cluster size
The cluster size is 20 households in all governorates.
3- Sample allocation in different governorates
45% of the survey sample was allocated to urban areas (12020 households) and the other 55% was allocated to rural areas (13780 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.
Egypt17-HH-V3.NSDstat
12485
231
Nesstar 200801
Egypt17-IND-V3.NSDstat
52928
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
12485
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
818
Egypt
12485
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All households
12485
0
Year during which the survey was performed
2017
12485
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All households
12485
0
2
24970
12486
7208.507
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
0
12485
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
12485
0
0.104
3.281
1
0.563
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Region of residence
1
Cairo
1233
1592.904
2
Alexandria
523
860.073
3
Port Said
490
97.636
4
Suez
455
82.813
5
Helwan
0
0
6
6 of October
0
0
11
Damietta
482
191.74
12
Dakahlia
632
899.069
13
Sharkia
613
928.571
14
Qualioubia
504
774.011
15
Kafr Elsheikh
490
447.542
16
Gharbia
490
755.68
17
Monofia
513
592.851
18
Beheira
552
828.238
19
Ismailya
490
165.983
21
Giza
682
1115.564
22
Bani Swef
497
313.123
23
Fayoum
484
389.158
24
Menia
494
653.866
25
Assiut
492
515.521
26
Sohag
494
329.987
27
Qena
493
412.627
28
Aswan
492
204.425
29
Luxor
498
172.159
31
ElBahr ElAhmar
0
0
32
ElWadi ElGadid
0
0
33
Matrouh
0
0
34
North Sinai
0
0
35
South Sinai
0
0
41
392
162.342
Original survey variable renamed (Ref: Data dictionary.pdf)
Area
Data Dictionary & Questionnaire/Codebook
All households
12485
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
2701
2
Urban Lower Egypt
1268
3
Rural Lower Egypt
3498
4
Urban Upper Egypt
1437
5
Rural Upper Egypt
3189
6
Urban Frontier
0
7
Rural Frontier
0
41
392
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates whether the region is urban/rural
0
Rural
6823
6760.869
1
Urban
5662
5725.014
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
12485
12485.883
0
0
1
15
4.239
4.168
1.868
1.843
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
12485
12485.883
0
0
0
9
2.144
2.108
1.273
1.259
Total number of Males in the household (including children)
0
993
1016.316
1
3181
3314.918
2
3669
3634.402
3
2944
2917.799
4
1231
1173.904
5
349
327.353
6
83
68.632
7
26
24.476
8
8
7.605
9
1
0.476
Generated by ERF
Number of Females
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
11
2.095
2.06
1.204
1.192
Total number of females in the household (including children)
0
313
329.453
1
4404
4555.988
2
3779
3750.535
3
2432
2351.518
4
1085
1056.496
5
332
320.301
6
101
88.464
7
26
22.216
8
10
7.404
9
2
2.632
11
1
0.875
Generated by ERF
Number of persons under age 14
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
8
1.265
1.236
1.399
1.382
Number of persons under age 14 living in the household
0
5531
5639.182
1
2054
2035.72
2
2152
2138.715
3
1822
1803.291
4
717
685.763
5
164
147.241
6
34
27.359
7
9
7.583
8
2
1.029
Generated by ERF
Number of persons aged 65 or more
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
3
0.266
0.269
0.534
0.538
Number of household members aged 65 or more including head and spouse.
0
9727
9704.013
1
2199
2208.669
2
557
571.282
3
2
1.919
Generated by ERF
Household composition
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
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
2546
2666.102
2
1-2 adults, 1-2 children
1926
1924.126
3
1-2 adult, 3 or more children
2874
2846.97
4
3 adults or more, 0-1 child
3085
3072.664
5
3 adults or more, 2-3 children
1626
1594.769
6
3 adults or more, 4 children or more
428
381.254
Head living in couple
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
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
2792
2831.058
1
Married couple head and spouse
9654
9621.043
2
Several cohabiting spouses
39
33.782
Generated by ERF
Number of earners
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Number of household members who receives any earnings.
1
6486
6591.61
2
4033
4038.294
3
1337
1293.269
4
427
397.386
5
142
117.223
6
46
36.263
7
11
9.336
8
2
1.626
9
1
0.875
Source of income
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Main income source of the household
10
Household business
2753
2800.19
20
Salaries and wages
6484
6388.55
30
Remittances from country or abroad
3219
3273.196
40
Pensions
0
0
50
Other
29
23.947
Type of dwelling [Standardized version]
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Type of the dwelling
1
House
2615
2163.811
2
Villa
17
16.559
3
Apartment
9257
9656.575
4
Others
596
648.938
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Type of the dwelling
100
House
0
0
110
Countryside house
2615
2163.811
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
17
16.559
210
Villa or floor in a villa
0
0
220
Part of a villa
0
0
230
Palace
0
0
300
Apartment
9135
9526.899
310
More than one apartment
122
129.676
320
Studio
0
0
400
Others
0
0
410
One or more separate room
170
195.72
420
One or more room in a housing unit
418
445.922
430
Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
8
7.296
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
12485
12485.883
0
0
Type of tenure
1
Rented
1972
2271.209
2
Owned
9133
8836.725
3
Provided free
1380
1377.949
4
Others
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Tenure of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Type of tenure
100
Rented
0
0
110
Unfurnished rent
0
0
120
Furnished rent
2
0.421
130
Old law rent
1123
1454.529
140
New law rent
847
816.26
150
Rent with key money
0
0
200
Owned
0
0
210
Unit owned (privately or jointly)
7829
7700.776
220
Unit bought
1304
1135.949
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
1310
1317.772
340
In-kind benefit
70
60.176
350
Without payment
0
0
400
Others
0
0
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
12485
12485.883
0
0
1
11
3.532
3.534
0.95
0.97
Number of rooms excluding bathroom and kitchen
1
167
199.59
2
912
938.977
3
5368
5267.566
4
4712
4696.485
5
970
1018.681
6
279
284.094
7
24
23.726
8
31
33.5
9
10
9.985
10
11
12.771
11
1
0.506
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Electrified
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the dwelling is electrified or not
0
No
73
67.927
1
Electrified
12412
12417.956
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for lighting
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Distinguish between public and private sources of electricity and other sources of lighting
0
No lighting
0
0
1
Public network
12412
12417.956
2
Private
0
0
3
Gas
13
9.27
4
Kerosene
46
43.79
5
Others
14
14.868
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for cooking
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Distinguish between different sources of energy for cooking
0
No cooking
0
0
1
Electricity
8
10.497
2
Gas
12454
12457.071
3
Kerosene
15
12.447
4
Wood AND coal
8
5.868
5
Others
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Water facilities
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates from where the household get its drinking water
1
Piped supply
11147
11204.759
2
Public tap
827
673.296
3
Well
176
198.439
4
Tanker
0
0
5
Other
335
409.39
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicate whether the household has access to toilet facility
1
Yes and connected to sewage
8272
8446.164
2
Yes and not connected to sewage
4190
4019.548
3
No facility
23
20.171
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility shared
Data Dictionary & Questionnaire/Codebook
All households
12485
0
Indicates whether the household shares the toilet facility or not
1
Private toilet
12065
2
Shared toilet
392
3
No toilet facility
28
Original survey variable renamed (Ref: Data dictionary.pdf)
Garbage disposal method
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates the method the household uses for garbage disposal
100
Collected
0
0
110
Collected by a garbage collector
2764
3299.405
120
Collected by a private company
1507
1600.851
130
Collected by government services
0
0
200
Thrown in a public bin
3764
3316.516
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
1318
1346.071
500
Thrown randomly
0
0
600
Burnt
1367
1045.287
700
Other
1744
1852.421
710
Heap
0
0
720
Pit
0
0
730
Recycled
0
0
740
Used as food for animals
21
25.331
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a car, van, taxi, cart, etc ...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
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
11538
11564.196
1
Own one or many
947
921.687
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has bicycle, scooter, motorcycle, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to bicycle, scooter, motorcycle, etc...
0
None
10468
10591.413
1
Own one or many
2017
1894.47
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a TV, LCD, LED, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a TV, LCD, LED, etc..
0
None
457
445.291
1
Own one or many
12028
12040.591
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has satellite dish, receiver, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a satellite dish, receiver, etc…
0
None
672
651.658
1
Own one or many
11813
11834.225
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has DVD, VCR, CD player, audio player, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a DVD, VCR, CD player, recorder, audio player etc…
0
None
11046
10857.966
1
Own one or many
1439
1627.917
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has photo or video camera
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a photo or video camera
0
None
12370
12348.782
1
Own one or many
115
137.1
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has telephone, cell phone, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a telephone, cell phone etc…
0
None
460
457.729
1
Own one or many
12025
12028.154
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
12485
12485.883
0
0
0
None
9542
9424.731
1
Own one or many
2943
3061.152
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has internet line and related equipments (router, USB, etc ...)
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
None
9083
9006.434
1
Own one or many
3402
3479.449
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has refrigerator, freezer, water cooler, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
None
400
422.598
1
Own one or many
12085
12063.285
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has cooker, stove, oven, etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a gas or electric cooker, stove, oven, etc…
0
None
220
216.766
1
Own one or many
12265
12269.117
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has microwave, grill, fryer etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
None
11820
11778.521
1
Own one or many
665
707.362
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has food processor, kitchen machine, blender, grinder etc...
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
0
None
1032
1017.248
1
Own one or many
11453
11468.634
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has washing machine
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a manual or an automatic washing machine
0
None
630
621.704
1
Own one or many
11855
11864.179
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a dishwasher
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a dishwasher
0
None
12352
12338.681
1
Own one or many
133
147.202
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an air conditioner
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to an air conditioner
0
None
10570
10965.81
1
Own one or many
1915
1520.072
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an electric fan
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to an electric fan
0
None
683
707.27
1
Own one or many
11802
11778.612
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a heater
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a gas, electric or solar heater
0
None
11751
11705.762
1
Own one or many
734
780.121
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a water heater
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a solar, gas or electric water heater
0
None
5258
5381.827
1
Own one or many
7227
7104.056
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a sewing machine
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a sewing machine
0
None
12185
12210.168
1
Own one or many
300
275.715
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a vacuum cleaner
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to a vacuum cleaner
0
None
10205
10078.837
1
Own one or many
2280
2407.046
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an iron
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to an iron
0
None
4283
4413.315
1
Own one or many
8202
8072.568
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has other durables
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
Indicates if the household owns or has free access to any other household appliance
0
None
10870
10828.461
1
Own one or many
1615
1657.422
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the head
Data Dictionary & Questionnaire/Codebook
All heads
12484
12485.646
1
0.237
18
102
51.35
51.313
13.399
13.384
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
9692
9654.588
2793
2831.295
16
85
42.989
43.072
11.962
12
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
39
33.782
12446
12452.101
23
77
40.974
40.333
12.762
12.58
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
12484
40
40
40
Age in years of the third spouse
40
1
Sysmiss
12484
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the head
Data Dictionary & Questionnaire/Codebook
All heads
12485
12485.883
0
0
Gender of the head
1
Male
10220
10184.2
2
Female
2265
2301.683
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses
9693
9654.825
2792
2831.058
Gender of the first spouse
1
Male
3
3.32
2
Female
9690
9651.505
Sysmiss
2792
2831.058
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses
39
33.782
12446
12452.101
Gender of the second spouse
1
Male
0
0
2
Female
39
33.782
Sysmiss
12446
12452.101
Original survey variable renamed (Ref: Data dictionary.pdf)
Gender of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses
1
12484
Gender of the third spouse
1
Male
0
2
Female
1
Sysmiss
12484
Original survey variable renamed (Ref: Data dictionary.pdf)
Marital status of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 18+ years
12485
12485.883
0
0
Legal administrative status concerning marriage of the head
1
Never married
185
195.216
2
Married monogamous
9997
9975.315
3
Married polygamous
39
33.782
4
Divorced/Separated
277
273.034
5
Widowed
1987
2008.536
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
12485
12485.883
0
0
Legal administrative status concerning marriage
100
Never married
185
195.216
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
9997
9975.315
300
Married polygamous
39
33.782
400
Divorced/Separated
0
0
410
Separated
50
54.923
420
Divorced
227
218.111
500
Widowed
1987
2008.536
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
12485
12485.883
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
1253
1319.003
2
Head with partner, with children, Youngest child<18
7127
7013.583
3
Head with partner, with children, Youngest child 18+
1656
1676.511
4
Single Head, with no children
1088
1115.731
5
Single Head, with children, Youngest child<18
433
414.798
6
Single Head, with children, Youngest child 18+
928
946.256
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the head
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
12485
12485.883
0
0
This variable indicates whether the head is literate (can read and write) or not
0
No
3352
3291.062
1
Can read AND write
9133
9194.821
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
9693
9654.825
2792
2831.058
This variable indicates whether the first spouse is literate (can read and write) or not
0
No
3151
3139.371
1
Can read AND write
6542
6515.454
Sysmiss
2792
2831.058
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
39
33.782
12446
12452.101
This variable indicates whether the second spouse is literate (can read and write) or not
0
No
27
23.23
1
Can read AND write
12
10.552
Sysmiss
12446
12452.101
Original survey variable renamed (Ref: Data dictionary.pdf)
Literacy status of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
12484
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
12484
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
12485
12485.883
0
0
Highest level of education attained by the head
1
None
4958
4921.995
2
Primary/Lower secondary
1805
1809.343
3
Secondary
3573
3453.825
4
Post secondary or equivalent
478
472.036
5
University
1581
1721.332
6
Postgraduate
90
107.353
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
9693
9654.825
2792
2831.058
Highest level of education attained by the first spouse
1
None
3959
3937.654
2
Primary/Lower secondary
1264
1269.116
3
Secondary
3032
2932.123
4
Post secondary or equivalent
342
338.345
5
University
1058
1129.041
6
Postgraduate
38
48.547
99
Not stated
0
0
Sysmiss
2792
2831.058
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
39
33.782
12446
12452.101
Highest level of education attained by the second spouse
1
None
28
23.704
2
Primary/Lower secondary
5
5.457
3
Secondary
4
2.23
4
Post secondary or equivalent
1
1.235
5
University
1
1.156
6
Postgraduate
0
0
99
Not stated
0
0
Sysmiss
12446
12452.101
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
12484
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
12484
Original survey variable renamed (Ref: Data dictionary.pdf)
Educational level of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
12485
12485.883
0
0
Highest level of education attained by the head.
100
None
1
1.294
110
Illiterate
3352
3291.062
120
Read only
0
0
130
Read AND write
1351
1397.667
140
Literacy classes/certificate
254
231.972
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
1205
1197.977
220
Preparatory
600
611.366
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
179
186.098
320
Professional/Vocational secondary
3394
3267.727
400
Post secondary or equivalent
478
472.036
500
University
1581
1721.332
600
Postgraduate
90
107.353
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
9693
9654.825
2792
2831.058
Highest level of education attained by the first spouse.
100
None
0
0
110
Illiterate
3151
3139.371
120
Read only
0
0
130
Read AND write
719
713.407
140
Literacy classes/certificate
89
84.876
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
774
787.932
220
Preparatory
490
481.183
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
151
127.458
320
Professional/Vocational secondary
2881
2804.664
400
Post secondary or equivalent
342
338.345
500
University
1058
1129.041
600
Postgraduate
38
48.547
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
2792
2831.058
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
39
33.782
12446
12452.101
Highest level of education attained by the second spouse.
100
None
0
0
110
Illiterate
27
23.23
120
Read only
0
0
130
Read AND write
1
0.474
140
Literacy classes/certificate
0
0
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
3.494
220
Preparatory
2
1.963
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
0
0
320
Professional/Vocational secondary
4
2.23
400
Post secondary or equivalent
1
1.235
500
University
1
1.156
600
Postgraduate
0
0
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
12446
12452.101
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
12484
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
12484
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
12485
12485.883
0
0
1
Employed
8776
8714.12
2
Unemployed
79
75.581
3
Homemaker (Housewife)
1180
1170.989
4
Student
4
4.139
5
Pensioners/retired/disabled
2389
2462.733
6
Others
44
46.424
99
Not stated
13
11.898
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
9693
9654.825
2792
2831.058
1
Employed
2084
2101.156
2
Unemployed
128
116.301
3
Homemaker (Housewife)
7006
6942.242
4
Student
10
7.572
5
Pensioners/retired/disabled
397
427.747
6
Others
3
2.598
99
Not stated
65
57.209
Sysmiss
2792
2831.058
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
39
33.782
12446
12452.101
1
Employed
8
6.595
2
Unemployed
3
3.373
3
Homemaker (Housewife)
27
22.84
4
Student
0
0
5
Pensioners/retired/disabled
0
0
6
Others
1
0.974
99
Not stated
0
0
Sysmiss
12446
12452.101
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
12484
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
12484
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
12485
12485.883
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
153
138.352
110
Employed during last week
8622
8575.483
120
Employed but temporary absent from work
1
0.284
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)
60
58.119
220
Unemployed never worked (looking for a job)
17
17.024
230
Temporary unemployed (in military services)
2
0.438
300
Homemaker (Housewife)
0
0
310
Homemaker
954
943.435
320
Housewife
226
227.554
330
Working housewife
0
0
400
Student
4
4.139
410
Working student
0
0
500
Pensioners/retired/disabled
0
0
510
Pensioners
566
593.217
520
Retired
0
0
530
Disabled
299
312.757
540
Unable to work
0
0
550
Old
1524
1556.759
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
3
5.654
650
Not working and not looking for a job
39
39.601
660
Landlord
0
0
670
Child
2
1.169
999
Not stated
13
11.898
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
9693
9654.825
2792
2831.058
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
113
94.452
110
Employed during last week
1969
2003.267
120
Employed but temporary absent from work
2
3.436
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)
22
22.628
220
Unemployed never worked (looking for a job)
106
93.672
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
7006
6942.242
330
Working housewife
0
0
400
Student
9
6.148
410
Working student
1
1.424
500
Pensioners/retired/disabled
0
0
510
Pensioners
102
109.896
520
Retired
0
0
530
Disabled
42
46.702
540
Unable to work
0
0
550
Old
253
271.149
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
1
0.757
650
Not working and not looking for a job
2
1.841
660
Landlord
0
0
670
Child
0
0
999
Not stated
65
57.209
Sysmiss
2792
2831.058
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
39
33.782
12446
12452.101
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
0.621
110
Employed during last week
7
5.974
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)
2
2.391
220
Unemployed never worked (looking for a job)
1
0.982
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
27
22.84
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
0
0
540
Unable to work
0
0
550
Old
0
0
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
1
0.974
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
12446
12452.101
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
12484
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
12484
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
8838
8772.677
3647
3713.206
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
5867
5773.482
2
Employer
1664
1660.314
3
Own-account, self-employed
1224
1259.276
4
Contributing (unpaid) family worker
20
20.763
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
63
58.841
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
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
1235
1232.55
2
Employer
92
88.757
3
Own-account, self-employed
283
278.754
4
Contributing (unpaid) family worker
473
499.083
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
24
26.064
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
1
0.888
2
Employer
1
0.621
3
Own-account, self-employed
1
0.496
4
Contributing (unpaid) family worker
5
4.59
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
2
2.391
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
10
Legislators, senior officials and managers
438
437.957
20
Professionals
915
962.766
30
Technicians and associate professionals
610
571.95
40
Clerks
559
529.674
50
Service workers and shop and market sales workers
1848
1863.228
60
Skilled agricultural and fishery workers
1699
1622.344
70
Craft and related trades workers
1467
1443.601
80
Plant and machine operators, and assemblers
967
985.56
90
Elementary occupations
328
352.038
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
International Standard Occupational classification of the main (current or last held) job of the first spouse
10
Legislators, senior officials and managers
69
64.151
20
Professionals
555
560.48
30
Technicians and associate professionals
126
135.315
40
Clerks
259
249.775
50
Service workers and shop and market sales workers
412
425.907
60
Skilled agricultural and fishery workers
531
535.97
70
Craft and related trades workers
61
56.064
80
Plant and machine operators, and assemblers
37
39.355
90
Elementary occupations
49
48.948
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
2
2.391
30
Technicians and associate professionals
0
0
40
Clerks
0
0
50
Service workers and shop and market sales workers
2
1.932
60
Skilled agricultural and fishery workers
6
4.663
70
Craft and related trades workers
0
0
80
Plant and machine operators, and assemblers
0
0
90
Elementary occupations
0
0
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
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
438
437.957
2
Professionals
915
962.766
3
Technicians and associate professionals
610
571.95
4
Clerks
559
529.674
5
Service workers and shop and market sales
1848
1863.228
6
Skilled agricultural and fishery workers
1699
1622.344
7
Craft and related trades
1467
1443.601
8
Plant and machine operators and assemblers
967
985.56
9
Elementary occupations
328
352.038
10
Armed Forces
0
0
9999
Unspecified code
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
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
69
64.151
2
Professionals
555
560.48
3
Technicians and associate professionals
126
135.315
4
Clerks
259
249.775
5
Service workers and shop and market sales
412
425.907
6
Skilled agricultural and fishery workers
531
535.97
7
Craft and related trades
61
56.064
8
Plant and machine operators and assemblers
37
39.355
9
Elementary occupations
49
48.948
10
Armed Forces
0
0
9999
Unspecified code
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
2
2.391
3
Technicians and associate professionals
0
0
4
Clerks
0
0
5
Service workers and shop and market sales
2
1.932
6
Skilled agricultural and fishery workers
6
4.663
7
Craft and related trades
0
0
8
Plant and machine operators and assemblers
0
0
9
Elementary occupations
0
0
10
Armed Forces
0
0
9999
Unspecified code
0
0
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
10
Agriculture and Fishing
1765
1677.472
20
Mining
41
30.826
30
Manufacturing
1092
1098.868
40
Electricity and Utilities
179
165.323
50
Construction
944
958.268
60
Commerce
1250
1284.703
70
Transportation, Storage and Communication
876
835.249
80
Financial, Insurance and Real Estate
57
64.678
90
Public Administration
942
925.623
100
Other services
1685
1728.107
998
Unspecified
0
0
999
Not stated
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
Industry classification of the main (current or last held) job of the first spouse
10
Agriculture and Fishing
530
532.163
20
Mining
2
2.554
30
Manufacturing
104
99.121
40
Electricity and Utilities
9
8.403
50
Construction
5
8.2
60
Commerce
334
342.403
70
Transportation, Storage and Communication
19
21.02
80
Financial, Insurance and Real Estate
10
12.337
90
Public Administration
222
202.901
100
Other services
864
886.862
998
Unspecified
0
0
999
Not stated
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
Industry classification of the main (current or last held) job of the second spouse
10
Agriculture and Fishing
6
4.663
20
Mining
0
0
30
Manufacturing
0
0
40
Electricity and Utilities
0
0
50
Construction
0
0
60
Commerce
2
1.932
70
Transportation, Storage and Communication
0
0
80
Financial, Insurance and Real Estate
0
0
90
Public Administration
0
0
100
Other services
2
2.391
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
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
1765
1677.472
2
Mining and quarrying
41
30.826
3
Manufacturing
1092
1098.868
4
Electricity, gas, steam and air conditioning supply
113
97.263
5
Water supply; sewerage, waste management and remediation act
66
68.06
6
Construction
944
958.268
7
Wholesale and retail trade; repair of motor vehicles and mot
1250
1284.703
8
Transportation and storage
834
789.752
9
Accommodation and food service activities
226
225.057
10
Information and communication
42
45.497
11
Financial and insurance activities
38
42.241
12
Real estate activities
19
22.437
13
Professional, scientific and technical activities
127
140.494
14
Administrative and support service activities
126
130.457
15
Public administration and defense; compulsory social securit
942
925.623
16
Education
681
667.533
17
Human health and social work activities
173
174.414
18
Arts, entertainment and recreation
29
33.115
19
Other service activities
250
266.043
20
Household domestic services
71
89.481
21
Activities of extraterritorial organizations and bodies
2
1.513
9999
Not stated
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
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
530
532.163
2
Mining and quarrying
2
2.554
3
Manufacturing
104
99.121
4
Electricity, gas, steam and air conditioning supply
6
6.515
5
Water supply; sewerage, waste management and remediation act
3
1.888
6
Construction
5
8.2
7
Wholesale and retail trade; repair of motor vehicles and mot
334
342.403
8
Transportation and storage
13
13.048
9
Accommodation and food service activities
21
28.031
10
Information and communication
6
7.972
11
Financial and insurance activities
9
10.559
12
Real estate activities
1
1.778
13
Professional, scientific and technical activities
17
16.857
14
Administrative and support service activities
9
9.651
15
Public administration and defense; compulsory social securit
222
202.901
16
Education
569
557.775
17
Human health and social work activities
185
203.561
18
Arts, entertainment and recreation
8
11.559
19
Other service activities
16
14.281
20
Household domestic services
39
45.148
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
6
4.663
2
Mining and quarrying
0
0
3
Manufacturing
0
0
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
2
1.932
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
2
2.391
17
Human health and social work activities
0
0
18
Arts, entertainment and recreation
0
0
19
Other service activities
0
0
20
Household domestic services
0
0
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
0
0
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head.
1
Government
2236
2151.726
2
Public sector
357
323.576
3
Private sector
6210
6271.46
4
Joint/Cooperative
13
11.35
5
Foreign sector
0
0
6
Other
15
11.006
99
Not stated
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse.
1
Government
886
856.532
2
Public sector
18
15.906
3
Private sector
1184
1234.861
4
Joint/Cooperative
1
1.438
5
Foreign sector
0
0
6
Other
10
7.226
99
Not stated
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
1.235
2
Public sector
0
0
3
Private sector
8
6.595
4
Joint/Cooperative
0
0
5
Foreign sector
0
0
6
Other
1
1.156
99
Not stated
0
0
Sysmiss
12475
12476.897
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
12485
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
12485
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
8838
8772.677
3647
3713.206
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
2236
2151.726
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
357
323.576
210
Economic institutions
0
0
300
Private sector
3217
3273.471
310
Private investment
246
210.925
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
2747
2787.065
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
12
9.911
420
Cooperative
1
1.44
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
15
11.006
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
7
3.559
Sysmiss
3647
3713.206
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
2107
2125.208
10378
10360.675
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
886
856.532
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
18
15.906
210
Economic institutions
0
0
300
Private sector
598
643.717
310
Private investment
36
29.896
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
550
561.248
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
1
1.438
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
10
7.226
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
8
9.245
Sysmiss
10378
10360.675
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
10
8.986
12475
12476.897
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
1.235
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
2
2.778
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
6
3.817
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
1
1.156
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
12475
12476.897
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
12485
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
12485
Original survey variable renamed (Ref: Data dictionary.pdf)
Expenses on food and non-alcoholic beverages
All households
12485
12485.883
0
0
1725.75
106977
19165.696
19052.347
8061.728
8239.23
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
12485
12485.883
Expenditures on rice in all forms
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Grains and flour expenditures
All households
0
0
12485
12485.883
Wheat, Maize, Barely and all cereals in the grain or flour form
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Bread and cakes expenditures
All households
0
0
12485
12485.883
Bread in all forms, biscuits, cakes pizza..
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Pasta expenditures
All households
0
0
12485
12485.883
Macaroni, Noodles, Couscous ..
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cereal preparation expenditures
All households
0
0
12485
12485.883
Cornflakes, malt, tapioca..
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Bread and Cereals
All households
12482
12483.753
3
2.13
32.5
16042
2353.601
2413.343
1275.123
1329.505
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
12485
12485.883
Expenses on own-Produced Bread and Cereals
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Sheep and goats Meat expenditures
All households
0
0
12485
12485.883
Fresh frozen and tinned goats and sheep meat
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cow meat expenditures
All households
0
0
12485
12485.883
Fresh frozen and tinned cow meat
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other meat expenditures
All households
0
0
12485
12485.883
Fresh frozen and tinned camel, rabbit, pork etc. meat
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Chicken meat expenditures
All households
0
0
12485
12485.883
Fresh frozen and tinned chicken, turkey, birds etc. meat
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Luncheon and Tinned meat expenditures
All households
0
0
12485
12485.883
Fresh and frozen luncheon, tinned and others meat
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Meat and Poultry
All households
12224
12236.219
261
249.663
52
51350
5159.456
5115.482
3469.878
3545.087
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
12485
12485.883
Expenses on own-Produced Meat and Poultry
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fish expenditures
All households
0
0
12485
12485.883
Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Seafood expenditures
All households
0
0
12485
12485.883
Fresh, frozen and proceed seafood
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Fish and Seafood
All households
8930
8840.289
3555
3645.594
26
18785
1903.018
1745.136
1530.351
1266.826
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
12485
12485.883
Expenses on own-Produced Fish and Seafood
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Milk expenditures
All households
0
0
12485
12485.883
Fresh, powder, condensed and infant powder milk expenses
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Yogurt expenditures
All households
0
0
12485
12485.883
Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cheese expenditures
All households
0
0
12485
12485.883
Processed, home made, tinned etc. cheese
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Eggs expenditures
All households
0
0
12485
12485.883
Eggs and wholly made egg products
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Dairy Products
All households
12393
12386.178
92
99.705
39
19773
2381.873
2365.617
1588.758
1615.718
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
12485
12485.883
Expenses on own-Produced Dairy Products
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Olive oil expenditures
All households
0
0
12485
12485.883
Olive oil
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other oils expenditures
All households
0
0
12485
12485.883
Corn, sunflower, soya etc
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Butter and margarine expenditures
All households
0
0
12485
12485.883
Butter, margarine, ghee, ...
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fat expenses
All households
0
0
12485
12485.883
Animal and vegetable fats and other edible
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Oil AND Fats
All households
12451
12462.719
34
23.164
78
10120.5
1643.008
1663.374
836.423
827.378
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
12485
12485.883
Expenses on own-Produced Oil & Fats
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fruits expenses
All households
11991
12016.91
494
468.972
13
11843
1044.275
1083.27
767.784
796.544
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
12485
12485.883
Expenses on own-Produced Fruits
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Vegetables expenses
All households
12455
12457.166
30
28.717
52
11167
2707.494
2694.579
1138.219
1093.97
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
12485
12485.883
Expenses on own-Produced Vegetables
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on sugar and jam expenditure
All households
12451
12456.578
34
29.305
26
11232
1027.719
1013.948
663.253
656.112
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
12485
12485.883
Expenses on own-Produced Sugar and Jam
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Spices expenditures
All households
12453
12455.45
32
30.433
6.5
2210
396.233
396.486
207.762
204.032
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
12485
12485.883
Expenses on Own-Produced Spices
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Beverages expenditure
All households
12453
12450.33
32
35.553
13
13078
723.076
742.78
579.528
643.279
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
12485
12485.883
Expenses on own-Produced Beverages
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified food
All households
0
0
12485
12485.883
Includes all other purchased food items non-specified in the questionnaire
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified own-produced food
All households
0
0
12485
12485.883
Includes all other own produced food items non-specified in the questionnaire
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total purchased food
All households
12483
12483.974
2
1.909
409.5
94597.75
18616.923
18550.29
8068.412
8231.127
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
12485
12485.883
Food and beverage own produced products, consumed or given away
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total Gifts and in-kind food
All households
3095
2898.829
9390
9587.054
2.6
41600
2225.739
2174.688
2542.717
2571.319
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
5777
5771.102
6708
6714.781
36
34110
5343.359
5271.928
3907.656
3842.81
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
12485
12485.883
Expenses on alcoholic beverages, spirits, wine, beer..
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Tobacco expenditures
All households
0
0
12485
12485.883
Expenses on tobacco, cigarettes, etc.
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on clothing and footwear
All households
11975
12000.927
510
484.956
2
32722
2681.215
2674.365
2490.664
2555.096
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
11285
11269.893
1200
1215.99
5
23850
1818.743
1825.896
1734.81
1763.447
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
7331
7190.415
5154
5295.468
1
4500
226.17
217.403
308.343
294.838
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
5798
5925.382
6687
6560.501
3
9600
187.085
190.701
324.361
364.867
All tailoring, cleaning, repairing charges of clothes
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Footwear expenditures
All households
11377
11378.419
1108
1107.464
2
7920
595.151
599.035
544.171
572.454
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
5049
4916.456
7436
7569.426
5
10000
409.829
408.409
397.121
404.449
School Clothes, Uniforms and Footwear expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on housing and utilities
All households
12485
12485.883
0
0
690
310716
9619.094
9476.034
7801.826
8802.039
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
2233
2533.078
10252
9952.805
10
60000
3448.931
2949.039
4555.44
4303.792
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
10758
10492.57
1727
1993.313
300
300000
6826.095
6748.836
6794.945
7696.231
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
4883
4901.985
7602
7583.898
1
165000
857.666
925.365
4183.478
4625.901
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
12250
12275.133
235
210.75
5
11806
734.767
805.387
649.44
723.146
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
12467
12470.941
18
14.942
60
24600
2066.97
2053.696
997.759
1065.18
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
12482
12484.918
3
0.965
25
209868
1985.435
1986.507
3444.687
3952.488
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
1641
1578.127
10844
10907.756
10
147800
1056.365
1168.959
5381.911
6410.234
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
154
138.659
12331
12347.224
10
10000
304.286
277.797
1021.066
866.193
Furniture and furnishings repair
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Household textiles expenditures
All households
2705
2581.803
9780
9904.079
8
15600
504.867
524.371
949.956
1066.747
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
1096
1072.289
11389
11413.594
10
33430
1816.405
1788.665
2807.38
2796.789
Major household appliances whether electric or not
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Small Household appliances expenditures
All households
571
537.329
11914
11948.554
5
7000
235.515
246.456
436.322
508.03
Small electric appliances
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Repair of appliances expenditures
All households
5396
5392.159
7089
7093.724
5
5500
277.756
276.42
364.41
354.194
Repair of appliances expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Glassware, tableware and household utensils expenditures
All households
5627
5537.356
6858
6948.527
2.5
25000
118.2
119.236
535.387
571.454
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
35
36.974
12450
12448.909
10
5000
372.429
457.366
928.635
1092.958
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
9084
9077.554
3401
3408.329
2
6060
111.573
115.238
155.956
156.202
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
12480
12482.011
5
3.872
12
73500
1307.73
1305.89
1300.987
1567.534
Non-durable household goods and domestic services
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on health
All households
12231
12284.119
254
201.764
1
549798
4847.556
4936.788
9392.936
9486.963
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
12186
12252.483
299
233.4
6
115400
2794.628
2855.877
4135.961
4126.027
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
801
777.638
11684
11708.245
2
15000
530.976
527.915
1153.319
1132.201
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
11250
11255.471
1235
1230.412
1
456818
2205.316
2242.641
7511.061
7578.451
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on medical services Abroad
All households
0
0
12485
12485.883
Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on transport
All households
12413
12420.34
72
65.543
20
607840
3526.728
3538.333
11572.941
11185.121
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
126
127.979
12359
12357.903
35
530000
47439.762
48168.196
88867.176
81857.261
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
2621
2470.467
9864
10015.416
5
68600
3870.549
3952.373
4966.581
5382.76
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
12284
12296.355
201
189.528
12
77760
1930.018
1963.271
2026.909
2190.639
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
3306
3231.326
9179
9254.557
8
16800
1193.833
1199.966
1374.321
1412.85
School Transportation services expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on communication
All households
0
0
12485
12485.883
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
0
0
12485
12485.883
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
0
0
12485
12485.883
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
9275
9216.579
3210
3269.303
3
301695
1428.185
1543.766
5974.897
6799.461
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
2279
2352.746
10206
10133.137
4
18000
322.499
319.264
923.481
884.693
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
3635
3580.365
8850
8905.518
2
9600
157.713
164.96
384.51
441.996
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
8560
8501.549
3925
3984.334
5
300245
935.02
1014.168
6011.209
6806.444
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
6483
6597.439
6002
5888.443
1
68000
606.877
646.385
1106.726
1365.889
School books and stationery, etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on education
All households
7683
7624.91
4802
4860.973
10
430000
3307.442
3770.871
8377.058
10203.873
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on pre-primary and primary education
All households
5296
5282.256
7189
7203.627
8
70000
1485.613
1685.881
3111.416
3752.39
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
4631
4564.188
7854
7921.695
6
112500
2723.666
3092.413
5283.227
6207.993
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
1347
1381.493
11138
11104.389
50
280000
3601.876
4077.957
11586.059
13726.115
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
121
125.168
12364
12360.714
18
9000
646.636
793.091
1236.231
1454.891
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
12485
12485.883
Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on restaurants and hotels
All households
11668
11892.492
817
593.391
26
88000
2270.774
2364.103
3070.053
3396.229
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
11631
11867.17
854
618.712
26
84630
2172.734
2279.767
2889.461
3241.766
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School restaurants expenditures
All households
0
0
12485
12485.883
Meals, snacks, and drinks provided in school restaurants
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Accommodation and hotel expenses
All households
565
532.671
11920
11953.212
15
46000
2166.949
1991.279
3368.516
3006.249
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on miscellaneous goods and services
All households
12485
12485.883
0
0
20
204080
3151.414
3186.388
4761.939
5032.179
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
12483
12483.297
2
2.586
10
73335
1541.653
1525.321
1444.301
1415.498
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
1665
1817.085
10820
10668.797
20
15000
703.165
737.328
949.924
1113.816
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
8437
8404.46
4048
4081.423
2
12000
503.818
499.646
717.455
747.619
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
5502
5494.421
6983
6991.462
1
83200
204.653
212.975
1431.338
1465.816
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
11968
11970.037
517
515.846
5
203080
1132.476
1172.479
4153.65
4432.299
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
12485
12485.883
0
0
2007.2
157274
21189.811
21219.145
9409.997
9846.671
Total food expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenses on durables
All households
4339
4363.187
8146
8122.696
4
532100
2506.339
2545.354
17606.49
16902.5
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
12485
12485.883
0
0
10
300000
6498.726
6269.703
6665.423
7421.457
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
12485
12485.883
0
0
1235
703806
25903.656
26567.702
22218.765
24549.78
Total expenditures on non-food and non-durables
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenditures
All households
12485
12485.883
0
0
7554.388
1287261.5
52439.124
52779.225
34284.589
36903.862
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
1216
1129.998
11269
11355.885
20
302000
14919.149
15652.259
30356.189
30838.752
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
12485
12485.883
Interest paid on loans for the purchase of consumption or durable goods
Sysmiss
12485
12485.883
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenditures on taxes and levies
All households
74
68.698
12411
12417.185
20
13000
746.932
1115.685
2094.334
2853.66
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
8788
8702.639
3697
3783.244
2
7350000
35352.143
36188.101
82104.062
110827.477
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
5083
5116.432
7402
7369.451
90
2700000
29528.084
30042.663
58662.814
52395.249
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
10685
10424.819
1800
2061.064
170
300000
6604.866
6526.647
6705.322
7595.681
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
1064
1101.136
11421
11384.746
1
700000
21754.743
23614.14
45130.849
51816.711
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Current transfers received
Data Dictionary & Questionnaire/Codebook
All households
12278
12227.853
207
258.03
25
348000
14259.962
14855.281
17672.518
18921.533
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Total disposable income
Data Dictionary & Questionnaire/Codebook
All households
12485
12485.883
0
0
5802
7480000
58435.702
59613.957
83910.751
104656.899
Total disposable income
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Country
Data Dictionary & Questionnaire/Codebook
All households
52928
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
818
Egypt
52928
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
Year during which the survey was performed
2017
52928
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All individuals
52928
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
0
52928
Primary Sampling Unit Identifier usually provided in the dataset
Sysmiss
52928
Original survey variable renamed (Ref: Data dictionary.pdf)
Household weight
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
0.104
3.281
0.983
0.553
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Region of residence
1
Cairo
4630
5950.649
2
Alexandria
1924
3160.604
3
Port Said
1967
392.12
4
Suez
1838
335.138
5
Helwan
0
0
6
6 of October
0
0
11
Damietta
1859
743.184
12
Dakahlia
2433
3461.999
13
Sharkia
2538
3829.977
14
Qualioubia
2059
3157.182
15
Kafr Elsheikh
2009
1832.118
16
Gharbia
1838
2784.688
17
Monofia
2167
2509.353
18
Beheira
2398
3577.485
19
Ismailya
2076
700.136
21
Giza
2864
4667.838
22
Bani Swef
2336
1488.632
23
Fayoum
2402
1935.169
24
Menia
2364
3117.42
25
Assiut
2303
2418.519
26
Sohag
2411
1609.24
27
Qena
2267
1909.266
28
Aswan
2238
931.057
29
Luxor
2190
755.578
31
ElBahr ElAhmar
0
0
32
ElWadi ElGadid
0
0
33
Matrouh
0
0
34
North Sinai
0
0
35
South Sinai
0
0
41
1817
768.346
Original survey variable renamed (Ref: Data dictionary.pdf)
Area
Data Dictionary & Questionnaire/Codebook
All individuals
52928
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
10359
2
Urban Lower Egypt
4919
3
Rural Lower Egypt
14458
4
Urban Upper Egypt
6016
5
Rural Upper Egypt
15359
6
Urban Frontier
0
7
Rural Frontier
0
41
1817
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Indicates whether the region is urban/rural
0
Rural
30473
29859.308
1
Urban
22455
22176.39
2
Refugee camps
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Person identifier
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Person identification number (usually the person line number in the household)
1
12485
12485.883
2
11539
11503.342
3
9842
9715.217
4
8263
8110.778
5
5829
5642.016
6
2959
2797.247
7
1233
1111.001
8
462
400.895
9
191
166.116
10
69
58.065
11
34
27.545
12
13
9.16
13
6
4.668
14
2
2.291
15
1
1.476
Original survey variable renamed (Ref: Data dictionary.pdf)
Age
Data Dictionary & Questionnaire/Codebook
All individuals
52926
52035.224
2
0.474
0
102
28.906
29.144
20.599
20.651
Age in years.
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Indicator for gender of individual.
1
Male
26773
26317.758
2
Female
26155
25717.94
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 18+ years
32346
31965.3
20582
20070.399
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
8138
7868.646
2
Married monogamous
20870
20765.221
3
Married polygamous
39
33.782
4
Divorced/Separated
655
635.707
5
Widowed
2644
2661.944
99
Not stated
0
0
Sysmiss
20582
20070.399
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 18+ years
32346
31965.3
20582
20070.399
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
8138
7868.646
200
Married monogamous
0
0
210
Legally married
64
51.897
220
Married
20806
20713.324
300
Married polygamous
39
33.782
400
Divorced/Separated
0
0
410
Separated
87
97.291
420
Divorced
568
538.416
500
Widowed
2644
2661.944
999
Not stated
0
0
Sysmiss
20582
20070.399
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
1
Head of household
12485
12485.883
2
Spouse
9733
9688.853
3
Son/daughter
27794
27022.586
4
Father/Mother (parents)
612
638.79
5
Brother/sister
259
246.771
6
Grandchildren
1289
1250.233
7
Other relatives
724
679.114
8
Other non-relatives
32
23.468
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
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
12485
12485.883
200
Spouse
9733
9688.853
300
Son/Daughter
27794
27022.586
310
Adopted children
0
0
400
Father/mother (parents)
612
638.79
500
Brother/sister
259
246.771
600
Grandchildren
1289
1250.233
700
Other relatives
322
308.028
710
Son/daughter in law
402
371.086
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
32
23.468
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
40692
39882.721
12236
12152.977
Indicates whether the father is present at home, not a household member or dead.
1
Yes
25446
24691.98
2
Father is not a household member
15246
15190.741
3
Father is dead
0
0
Sysmiss
12236
12152.977
Generated by ERF
Mother present at home
Data Dictionary & Questionnaire/Codebook
All individuals
41638
40821.226
11290
11214.472
Indicates whether the mother is present at home, not a household member or dead.
1
Yes
29021
28264.991
2
Mother is not a household member
12617
12556.235
3
Mother is dead
0
0
Sysmiss
11290
11214.472
Generated by ERF
ID of the father
Data Dictionary & Questionnaire/Codebook
All individuals
25446
24691.98
27482
27343.718
Indicates the PNUM (the line number in the HH) of the father
1
24612
23892.869
2
253
227.795
3
299
306.172
4
101
84.446
5
58
58.65
6
45
45.041
7
53
54.847
8
8
6.718
9
12
10.061
10
2
2.277
11
2
1.63
13
1
1.476
Sysmiss
27482
27343.718
Generated by ERF
ID of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
29021
28264.991
23907
23770.707
Indicates the PNUM (the line number in the HH) of the mother
1
3182
3129.717
2
24264
23614.386
3
466
433.687
4
384
386.912
5
265
252.418
6
217
213.377
7
133
140.092
8
72
64.648
9
15
12.184
10
11
8.808
11
6
3.089
12
5
4.196
14
1
1.476
Sysmiss
23907
23770.707
Generated by ERF
Age of the father
Data Dictionary & Questionnaire/Codebook
All individuals
25443
24691.269
27485
27344.429
18
100
46.909
46.647
10.425
10.349
Indicates the Age of the father
Generated by ERF
Age of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
29018
28264.28
23910
23771.418
16
101
41.41
41.336
10.938
10.992
Indicates the Age of the mother
Generated by ERF
Marital status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
25446
24691.98
27482
27343.718
Indicates the Marital status of the father [Standardized version]
1
Never married
0
0
2
Married monogamous
24918
24205.977
3
Married polygamous
132
113.109
4
Divorced/Separated
93
90.311
5
Widowed
303
282.584
99
Not stated
0
0
Sysmiss
27482
27343.718
Generated by ERF
Marital status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
29021
28264.991
23907
23770.707
Indicates the Marital status of the mother [Standardized version]
1
Never married
0
0
2
Married monogamous
25885
25162.838
3
Married polygamous
0
0
4
Divorced/Separated
528
531.679
5
Widowed
2608
2570.474
99
Not stated
0
0
Sysmiss
23907
23770.707
Generated by ERF
Marital status of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
25446
24691.98
27482
27343.718
Indicates the Marital status of the father
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
24918
24205.977
300
Married polygamous
132
113.109
400
Divorced/Separated
0
0
410
Separated
7
9.553
420
Divorced
86
80.757
500
Widowed
303
282.584
999
Not stated
0
0
Sysmiss
27482
27343.718
Generated by ERF
Marital status of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
29021
28264.991
23907
23770.707
Indicates the Marital status of the mother
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
25885
25162.838
300
Married polygamous
0
0
400
Divorced/Separated
0
0
410
Separated
98
107.391
420
Divorced
430
424.288
500
Widowed
2608
2570.474
999
Not stated
0
0
Sysmiss
23907
23770.707
Generated by ERF
Educational level of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Indicates the Educational level of the father [Standardized version]
1
None
29823
29156.118
2
Primary/Lower secondary
5739
5710.163
3
Secondary
11423
10926.936
4
Post secondary or equivalent
1377
1326.77
5
University
4340
4658.938
6
Postgraduate
226
256.774
99
Not stated
0
0
Generated by ERF
Educational level of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Indicates the Educational level of the mother [Standardized version]
1
None
33391
32770.19
2
Primary/Lower secondary
4857
4749.769
3
Secondary
10295
9920.295
4
Post secondary or equivalent
1037
1028.486
5
University
3252
3452.668
6
Postgraduate
96
114.291
99
Not stated
0
0
Generated by ERF
Educational level of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
52928
52035.698
0
0
Indicates the Educational level of the father
100
None
5
6.758
110
Illiterate
23668
22898.943
120
Read only
0
0
130
Read AND write
5349
5499.209
140
Literacy classes/certificate
801
751.207
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
3588
3547.584
220
Preparatory
2151
2162.579
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
607
634.266
320
Professional/Vocational secondary
10816
10292.67
400
Post secondary or equivalent
1377
1326.77
500
University
4340
4658.938
600
Postgraduate
226
256.774
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
52928
52035.698
0
0
Indicates the Educational level of the mother
100
None
0
0
110
Illiterate
29509
28965.943
120
Read only
0
0
130
Read AND write
3500
3445.53
140
Literacy classes/certificate
382
358.717
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
2890
2855.088
220
Preparatory
1967
1894.68
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
611
543.956
320
Professional/Vocational secondary
9684
9376.339
400
Post secondary or equivalent
1037
1028.486
500
University
3252
3452.668
600
Postgraduate
96
114.291
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
25446
24691.98
27482
27343.718
1
Employed
22855
22111.294
2
Unemployed
162
160.875
3
Homemaker (Housewife)
0
0
4
Student
0
0
5
Pensioners/retired/disabled
2342
2328.23
6
Others
75
78.85
99
Not stated
12
12.73
Sysmiss
27482
27343.718
Generated by ERF
Main activity of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
29021
28264.991
23907
23770.707
1
Employed
6509
6535.968
2
Unemployed
449
405.308
3
Homemaker (Housewife)
20814
20067.141
4
Student
12
13.214
5
Pensioners/retired/disabled
1014
1043.285
6
Others
8
8.346
99
Not stated
215
191.729
Sysmiss
23907
23770.707
Generated by ERF
Main activity of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
25446
24691.98
27482
27343.718
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
381
358.619
110
Employed during last week
22474
21752.675
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)
144
143.47
220
Unemployed never worked (looking for a job)
15
16.128
230
Temporary unemployed (in military services)
3
1.277
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
0
0
330
Working housewife
0
0
400
Student
0
0
410
Working student
0
0
500
Pensioners/retired/disabled
0
0
510
Pensioners
857
905.218
520
Retired
0
0
530
Disabled
598
603.977
540
Unable to work
0
0
550
Old
887
819.035
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
10
18.993
650
Not working and not looking for a job
61
56.553
660
Landlord
0
0
670
Child
4
3.305
999
Not stated
12
12.73
Sysmiss
27482
27343.718
Generated by ERF
Main activity of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
29021
28264.991
23907
23770.707
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
369
291.494
110
Employed during last week
6132
6233.684
120
Employed but temporary absent from work
8
10.79
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)
79
74.65
220
Unemployed never worked (looking for a job)
370
330.657
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
1621
1544.096
320
Housewife
19193
18523.045
330
Working housewife
0
0
400
Student
8
7.518
410
Working student
4
5.697
500
Pensioners/retired/disabled
0
0
510
Pensioners
226
224.069
520
Retired
0
0
530
Disabled
120
140.819
540
Unable to work
0
0
550
Old
668
678.397
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
8
8.346
660
Landlord
0
0
670
Child
0
0
999
Not stated
215
191.729
Sysmiss
23907
23770.707
Generated by ERF
Employment status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
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
16077
15519.229
2
Employer
3910
3774.91
3
Own-account, self-employed
2809
2751.727
4
Contributing (unpaid) family worker
59
65.429
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
147
144.747
Sysmiss
29926
29779.657
Generated by ERF
Employment status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
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
3644
3663.725
2
Employer
454
448.066
3
Own-account, self-employed
1042
1053.736
4
Contributing (unpaid) family worker
1365
1365.348
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
87
85.44
Sysmiss
46336
45419.383
Generated by ERF
Occupation classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
Occupation classification for the main (current or last held) job of the father
10
Legislators, senior officials and managers
1091
1082.843
20
Professionals
2325
2374.467
30
Technicians and associate professionals
1704
1577.118
40
Clerks
1441
1327.608
50
Service workers and shop and market sales workers
4700
4635.647
60
Skilled agricultural and fishery workers
3992
3645.752
70
Craft and related trades workers
4167
4034.95
80
Plant and machine operators, and assemblers
2704
2674.548
90
Elementary occupations
860
890.412
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Occupation classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
10
Legislators, senior officials and managers
175
148.107
20
Professionals
1642
1666.915
30
Technicians and associate professionals
406
429.692
40
Clerks
668
638.469
50
Service workers and shop and market sales workers
1375
1431.423
60
Skilled agricultural and fishery workers
1785
1743.579
70
Craft and related trades workers
208
188.815
80
Plant and machine operators, and assemblers
136
159.784
90
Elementary occupations
177
190.35
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Occupation classification for the main job of the father [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
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
1091
1082.843
2
Professionals
2325
2374.467
3
Technicians and associate professionals
1704
1577.118
4
Clerks
1441
1327.608
5
Service workers and shop and market sales
4700
4635.647
6
Skilled agricultural and fishery workers
3992
3645.752
7
Craft and related trades
4167
4034.95
8
Plant and machine operators and assemblers
2704
2674.548
9
Elementary occupations
860
890.412
10
Armed Forces
0
0
9999
Unspecified code
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Occupation classification for the main job of the mother [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
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
175
148.107
2
Professionals
1642
1666.915
3
Technicians and associate professionals
406
429.692
4
Clerks
668
638.469
5
Service workers and shop and market sales
1375
1431.423
6
Skilled agricultural and fishery workers
1785
1743.579
7
Craft and related trades
208
188.815
8
Plant and machine operators and assemblers
136
159.784
9
Elementary occupations
177
190.35
10
Armed Forces
0
0
9999
Unspecified code
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Industry classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
Industry classification of the main (current or last held) job of the father
10
Agriculture and Fishing
4159
3775.955
20
Mining
138
103.428
30
Manufacturing
2911
2907.792
40
Electricity and Utilities
541
499.892
50
Construction
2810
2769.104
60
Commerce
2988
3018.187
70
Transportation, Storage and Communication
2463
2289.119
80
Financial, Insurance and Real Estate
151
165.579
90
Public Administration
2509
2407.926
100
Other services
4314
4306.365
998
Unspecified
0
0
999
Not stated
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Industry classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
Industry classification of the main (current or last held) job of the mother
10
Agriculture and Fishing
1796
1742.231
20
Mining
8
6.015
30
Manufacturing
364
359.132
40
Electricity and Utilities
30
31.283
50
Construction
15
26.065
60
Commerce
1132
1154.046
70
Transportation, Storage and Communication
47
52.391
80
Financial, Insurance and Real Estate
34
37.697
90
Public Administration
561
516.753
100
Other services
2585
2671.522
998
Unspecified
0
0
999
Not stated
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Industry classification for the main job of the father [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
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
4159
3775.955
2
Mining and quarrying
138
103.428
3
Manufacturing
2911
2907.792
4
Electricity, gas, steam and air conditioning supply
339
296.855
5
Water supply; sewerage, waste management and remediation act
202
203.037
6
Construction
2810
2769.104
7
Wholesale and retail trade; repair of motor vehicles and mot
2988
3018.187
8
Transportation and storage
2352
2177.66
9
Accommodation and food service activities
609
592.232
10
Information and communication
111
111.459
11
Financial and insurance activities
104
113.018
12
Real estate activities
47
52.561
13
Professional, scientific and technical activities
329
325.01
14
Administrative and support service activities
313
324.656
15
Public administration and defense; compulsory social securit
2509
2407.926
16
Education
1794
1741.114
17
Human health and social work activities
379
379.033
18
Arts, entertainment and recreation
66
79.228
19
Other service activities
683
715.983
20
Household domestic services
137
145.133
21
Activities of extraterritorial organizations and bodies
4
3.976
9999
Not stated
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Industry classification for the main job of the mother [Unrecoded version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
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
1796
1742.231
2
Mining and quarrying
8
6.015
3
Manufacturing
364
359.132
4
Electricity, gas, steam and air conditioning supply
22
22.458
5
Water supply; sewerage, waste management and remediation act
8
8.825
6
Construction
15
26.065
7
Wholesale and retail trade; repair of motor vehicles and mot
1132
1154.046
8
Transportation and storage
26
25.445
9
Accommodation and food service activities
63
82.333
10
Information and communication
21
26.946
11
Financial and insurance activities
30
30.586
12
Real estate activities
4
7.111
13
Professional, scientific and technical activities
45
44.551
14
Administrative and support service activities
42
51.384
15
Public administration and defense; compulsory social securit
561
516.753
16
Education
1684
1655.199
17
Human health and social work activities
549
599.3
18
Arts, entertainment and recreation
24
31.65
19
Other service activities
45
37.69
20
Household domestic services
133
169.415
21
Activities of extraterritorial organizations and bodies
0
0
9999
Not stated
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Sector of employment of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father.
1
Government
6087
5766.064
2
Public sector
1014
913.259
3
Private sector
15839
15533.082
4
Joint/Cooperative
27
18.389
5
Foreign sector
0
0
6
Other
17
12.551
99
Not stated
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Sector of employment of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother.
1
Government
2508
2419.403
2
Public sector
44
46.17
3
Private sector
3964
4067.661
4
Joint/Cooperative
10
16.916
5
Foreign sector
0
0
6
Other
46
46.984
99
Not stated
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Sector of employment of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
23002
22256.041
29926
29779.657
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
6087
5766.064
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
1014
913.259
210
Economic institutions
0
0
300
Private sector
7971
7908.205
310
Private investment
630
543.236
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
7238
7081.642
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
24
14.07
420
Cooperative
3
4.319
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
17
12.551
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
18
12.696
Sysmiss
29926
29779.657
Generated by ERF
Sector of employment of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
6592
6616.315
46336
45419.383
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
2508
2419.403
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
44
46.17
210
Economic institutions
0
0
300
Private sector
1996
2142.783
310
Private investment
105
73.336
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
1863
1851.542
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
6
11.162
420
Cooperative
4
5.754
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
46
46.984
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
20
19.182
Sysmiss
46336
45419.383
Generated by ERF
Literacy status
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
42160
41562.468
10768
10473.231
This variable indicates whether the person is literate (can read and write) or not
0
No
8044
7914.708
1
Can read AND write
34116
33647.76
Sysmiss
10768
10473.231
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Ever attended school
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
49500
48778.386
3428
3257.312
This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school
0
No
9497
9293.351
1
Yes
40003
39485.035
99
Not stated
0
0
Sysmiss
3428
3257.312
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
42161
41564.014
10767
10471.684
Highest level of education attained.
1
None
14281
14100.931
2
Primary/Lower secondary
11197
10987.385
3
Secondary
11326
10854.798
4
Post secondary or equivalent
1104
1068.717
5
University
4076
4344.616
6
Postgraduate
176
206.021
99
Not stated
1
1.547
Sysmiss
10767
10471.684
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
42161
41564.014
10767
10471.684
Highest level of education attained
100
None
33
23.233
110
Illiterate
8044
7914.708
120
Read only
0
0
130
Read AND write
5820
5810.94
140
Literacy classes/certificate
384
352.051
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
6459
6372.553
220
Preparatory
4738
4614.832
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
0
0
310
Academic secondary
2210
2236.43
320
Professional/Vocational secondary
9116
8618.368
400
Post secondary or equivalent
1104
1068.717
500
University
4076
4344.616
600
Postgraduate
176
206.021
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
1
1.547
Sysmiss
10767
10471.684
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Number of effective years of schooling
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
43592
42921.432
9336
9114.267
0
18
7.836
7.89
5.358
5.387
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
49500
48778.386
3428
3257.312
Indicates whether the individual is currently attending school
0
No
32369
31997.229
1
Yes
17131
16781.157
Sysmiss
3428
3257.312
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Level of schooling presently attending
Data Dictionary & Questionnaire/Codebook
Currently enrolled individuals
17131
16781.157
35797
35254.541
PENROL ideally provides information on the level of education in which the individual is enrolled.
1
Primary
7526
7427.37
2
Lower secondary
3518
3436.916
3
Higher secondary- academic
1673
1719.05
4
Higher secondary- technical/vocational
1478
1334.985
5
Post secondary- technical
195
174.538
6
University
1828
1881.545
7
Postgraduate
57
57.933
8
Other
856
748.819
Sysmiss
35797
35254.541
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of school attending
Data Dictionary & Questionnaire/Codebook
Currently enrolled individuals
17131
35797
1
Public
15202
2
Private
977
3
Koranic
952
4
Adult literacy
0
5
Other
0
Sysmiss
35797
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Disability status
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
Indicates whether the individual have any type of disability or not
0
50334
1
2594
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of disability
Data Dictionary & Questionnaire/Codebook
Individuals reported disabled
2594
50334
This variable specifies, if available, the type of disability
1
920
2
245
6
986
8
192
10
251
Sysmiss
50334
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Chronic Disease
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
Chronic Disease
0
No
41177
1
Yes
11751
99
Not stated
0
Health Insurance
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
Health Insurance
0
No
26460
1
Yes
26468
99
Not stated
0
Kind of Health Insurance- Governmental
Data Dictionary & Questionnaire/Codebook
Individuals reported having health insurance
26468
26460
Kind of Health Insurance- Governmental
0
No
1842
1
Yes
24626
99
Not stated
0
Sysmiss
26460
Kind of Health Insurance- Private
Data Dictionary & Questionnaire/Codebook
Individuals reported having health insurance
26468
26460
Kind of Health Insurance- Private
0
No
24928
1
Yes
1540
99
Not stated
0
Sysmiss
26460
Kind of Health Insurance- Other
Data Dictionary & Questionnaire/Codebook
Individuals reported having health insurance
26468
26460
Kind of Health Insurance- Other
0
No
26166
1
Yes
302
99
Not stated
0
Sysmiss
26460
Social Security
Data Dictionary & Questionnaire/Codebook
All individuals
52928
0
Social Security
0
No
41764
1
Yes
11164
99
Not stated
0
Labor force status in the current period
Data Dictionary & Questionnaire/Codebook
All individuals aged 6+ years
47128
46480.612
5800
5555.087
Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.
1
Active
17009
16727.445
2
Inactive
29941
29602.438
99
Not stated
178
150.729
Sysmiss
5800
5555.087
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
47128
46480.612
5800
5555.087
1
Employed
15337
15125.518
2
Unemployed
1292
1248.51
3
Homemaker (Housewife)
10219
10027.242
4
Student
15992
15739.995
5
Pensioners/retired/disabled
3646
3715.232
6
Others
464
473.386
99
Not stated
178
150.729
Sysmiss
5800
5555.087
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
47128
46480.612
5800
5555.087
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
391
358
110
Employed during last week
14942
14762.025
120
Employed but temporary absent from work
4
5.494
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)
250
271.971
220
Unemployed never worked (looking for a job)
537
490.927
230
Temporary unemployed (in military services)
505
485.611
300
Homemaker (Housewife)
0
0
310
Homemaker
2549
2443.856
320
Housewife
7670
7583.386
330
Working housewife
0
0
400
Student
15612
15386.578
410
Working student
380
353.417
500
Pensioners/retired/disabled
0
0
510
Pensioners
709
741.534
520
Retired
0
0
530
Disabled
747
735.652
540
Unable to work
0
0
550
Old
2190
2238.046
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
8
8.817
650
Not working and not looking for a job
243
236.73
660
Landlord
0
0
670
Child
213
227.839
999
Not stated
178
150.729
Sysmiss
5800
5555.087
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Status of Employment
Data Dictionary & Questionnaire/Codebook
Ever-employed Active individuals aged 6+ years
16472
16236.517
36456
35799.181
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
10937
10698.865
2
Employer
1970
1964.046
3
Own-account, self-employed
1800
1812.821
4
Contributing (unpaid) family worker
1006
997.709
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
759
763.076
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
International Standard Occupational classification of the main (current or last held) job
10
Legislators, senior officials and managers
555
548.703
20
Professionals
1970
2047.775
30
Technicians and associate professionals
970
929.582
40
Clerks
994
962.652
50
Service workers and shop and market sales workers
3268
3299.784
60
Skilled agricultural and fishery workers
3133
2966.575
70
Craft and related trades workers
2857
2735.552
80
Plant and machine operators, and assemblers
1561
1571.673
90
Elementary occupations
630
656.297
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
534
517.924
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
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
555
548.703
2
Professionals
1970
2047.775
3
Technicians and associate professionals
970
929.582
4
Clerks
994
962.652
5
Service workers and shop and market sales
3268
3299.784
6
Skilled agricultural and fishery workers
3133
2966.575
7
Craft and related trades
2857
2735.552
8
Plant and machine operators and assemblers
1561
1571.673
9
Elementary occupations
630
656.297
10
Armed Forces
0
0
9999
Unspecified code
534
517.924
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
Industry classification of the main (current or last held) job
10
Agriculture and Fishing
3234
3047.149
20
Mining
63
47.859
30
Manufacturing
1881
1881.154
40
Electricity and Utilities
218
204.063
50
Construction
1947
1894.977
60
Commerce
2396
2439.313
70
Transportation, Storage and Communication
1316
1265.689
80
Financial, Insurance and Real Estate
102
117.04
90
Public Administration
1300
1273.456
100
Other services
3481
3547.893
998
Unspecified
0
0
999
Not stated
534
517.924
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
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
3234
3047.149
2
Mining and quarrying
63
47.859
3
Manufacturing
1881
1881.154
4
Electricity, gas, steam and air conditioning supply
134
119.159
5
Water supply; sewerage, waste management and remediation act
84
84.904
6
Construction
1947
1894.977
7
Wholesale and retail trade; repair of motor vehicles and mot
2396
2439.313
8
Transportation and storage
1216
1139.525
9
Accommodation and food service activities
509
511.331
10
Information and communication
100
126.164
11
Financial and insurance activities
74
84.609
12
Real estate activities
28
32.43
13
Professional, scientific and technical activities
235
255.287
14
Administrative and support service activities
194
198.875
15
Public administration and defense; compulsory social securit
1300
1273.456
16
Education
1450
1416.977
17
Human health and social work activities
511
527.468
18
Arts, entertainment and recreation
72
80.501
19
Other service activities
377
398.127
20
Household domestic services
131
157.814
21
Activities of extraterritorial organizations and bodies
2
1.513
9999
Not stated
534
517.924
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.
1
Government
3530
3386.589
2
Public sector
456
420.125
3
Private sector
11896
11862.054
4
Joint/Cooperative
24
24.11
5
Foreign sector
0
0
6
Other
32
25.716
99
Not stated
534
517.924
Sysmiss
36456
35799.181
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
16472
16236.517
36456
35799.181
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
3530
3386.589
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
456
420.125
210
Economic institutions
0
0
300
Private sector
6231
6365.112
310
Private investment
528
445.785
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
5137
5051.157
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
21
19.299
420
Cooperative
3
4.811
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
32
25.716
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
534
517.924
Sysmiss
36456
35799.181
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)