Template_project
EGY_HIECS_2004_HD_V2.0
Economic Research Forum
2014-08
Nesstar Publisher
Version 2.0
Household Income, Expenditure, and Consumption Survey, HIECS 2004/2005
HIECS 2004/2005
EGY_HIECS_2004_HD_V2.0
Economic Research Forum
Central Agency For Public Mobilization & Statistics
(c) 2014, Economic Research Forum | (c) 2005, 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 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)
Income, Expenditure and Consumption Surveys assume a prime importance among all household surveys undertaken by the national statistical offices all over the world. On the basis of such surveys, the standard of living of both households and individuals can be measured. Determining poverty line and setting up a basis for social welfare assistance depend on these surveys. In addition, weights for consumer price index which in turn is an important measure of inflation are derived from such surveys.
Egypt has recognized the greatest importance of these surveys long time ago, the current HIECS 2004/2005 is the eighth Household Income, Expenditure and Consumption Survey that was carried out in 2004/2005, on a sample of 48000 households, among a long series of similar surveys that started back in 1955, and followed by several surveys.
The survey main objectives are:
To identify expenditure levels and patterns of population as well as socio-economic and demographic differentials.
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 an important input for national planning.
Current and past demand estimates are utilized to predict future demands.
To measure mean household and per-capita expenditure for various expenditure items along with socio-economic correlates.
To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.
To define mean 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 and expenditure for commodities and services.
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 sources and the levels of expenditure in both urban and rural areas.
To identify the value of expenditure for food according to 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 ...) in urban and rural areas.
To identify the percentage distribution of income recipients according to some background variables such as housing conditions, size of household and characteristics of head of household.
It is the first time that the Household Income, Expenditure and Consumption Survey implies the following issues:
1- The use of the classification of individual consumption according to purpose (COICOP) in designing the expenditure and consumption questionnaire.
2- The inclusion of the main sales outlets of food and beverages.
3- The addition of school enrollment (6+ years) to the household schedule.
4- The inclusion of expenditure for used commodities (durables and semi durables).
5- The addition of data related to change in assets owned by the household during the reference year.
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 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)
The sample of the Household Income, Expenditure and Consumption Survey (HIECS) of 2004/2005 is a multi-stage stratified cluster sample and self-weighted to the practical extent. Its designed size is 48000 households allocated among governorates and their urban/rural components in proportion to size. The sample was selected in three stages (the second stage is considered dummy), the first two stages is related to the Master Sample which has been drawn directly before the fieldwork of HIECS started. The third sampling stage concerns with the selection of a sample of 40 households from each Master Sample Areas (1200 areas with approximately 700 households in each).
The Master Sample (1200 areas) has been allocated among the governorates of Egypt, with its urban/rural components, in proportion with the estimated size of households of every stratum (governorate) and substratum (urban/rural populations).
At the first sampling stage, the shiakha in urban and village in rural are considered the smallest administrative divisions for which census data are available. Therefore such divisions were considered Primary Sampling Units (PSUs) for urban and rural samples of all governorates respectively. Small towns which are not further subdivided into smaller administrative units are dealt with as urban PSUs. While the larger shiakhas or towns were subdivided into several PSUs using the 1996 census data. At the contrary, a village with less than 600 households in 1996 (700 households at present) was joined to the adjacent village so as to make certain that all PSUs are greater than 600 households in 1996. Subsequently, the sampling frames of the first stage sample of urban/rural substrata for all governorates were formed. Implicit stratification was introduced to both urban and rural frames.
At the second stage of sampling, a single area segment was selected following the equal probability selection method. A field operation has been carried out for the purpose of creating a household list for each selected second stage sample segment.
In the third sampling stage representing the final stage, 40 households were selected from each area segment selected in the second sampling stage of the master sample.
With the aim of reducing the field efforts it was deemed efficient to limit the spread of the household sample over the entire area segments by sampling clusters of 5 households each instead of sampling individual households directly.
It is worth mentioning that the method of systematic selection will jeopardize the property of equal probability selection as each household in the list still has 40 chances of being selected in the sample.
A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among the documentation materials published in both Arabic and English.]]>
Face-to-face [f2f]
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.
Egypt04-HH-V2.NSDstat
47095
227
Nesstar 200801
Egypt04-IND-V2.NSDstat
207431
63
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
Country
Data Dictionary & Questionnaire/Codebook
All households
47095
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
12
Algeria
0
48
Bahrain
0
262
Djibouti
0
275
Palestine
0
368
Iraq
0
400
Jordan
0
414
Kuwait
0
422
Lebanon
0
434
Libya
0
478
Mauritania
0
504
Morocco
0
512
Oman
0
634
Qatar
0
682
Saudi Arabia
0
729
Sudan
0
760
Syrian Arab Republic
0
784
United Arab Emirates
0
788
Tunisia
0
818
Egypt
47095
887
Yemen
0
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All households
47095
0
Year during which the survey was performed
2004
47095
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All households
47095
0
1
47095
23548
13595.3
Sequential anonymous household identifier usually provided in the dataset
Original survey variable renamed (Ref: Data dictionary.pdf)
Primary Sampling Unit Identifier
All households
47095
0
1
153
27.614
28.866
Anonymous Primary Sampling Unit identifier usually provided in the dataset
Household weight
Data Dictionary & Questionnaire/Codebook
All households
47095
0
0.559
1.535
1
0.0807
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Region of residence
1
Cairo
5898
6150.39
2
Alexandria
2908
2993.337
3
Port Said
439
397.289
4
Suez
348
374.282
11
Damietta
786
754.791
12
Dakahlia
3454
3571.818
13
Sharkia
3364
3489.686
14
Qualioubia
2634
2602.115
15
Kafr Elsheikh
1629
1598.183
16
Gharbia
2650
2674.721
17
Monofia
2073
2119.783
18
Beheira
2827
2811.859
19
Ismailya
595
577.863
21
Giza
4013
3941.215
22
Bani Swef
1390
1348.307
23
Fayoum
1502
1474.532
24
Menia
2652
2545.055
25
Assiut
2086
1945.699
26
Sohag
2417
2416.87
27
Qena
1770
1719.499
28
Aswan
713
722.06
29
Luxor
319
309.717
31
ElBahr ElAhmar
117
101.445
32
ElWadi ElGadid
80
94.299
33
Matrouh
157
152.122
34
North Sinai
200
166.194
35
South Sinai
74
41.87
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates whether the region is urban/rural
0
Rural
25352
25099.9
1
Urban
21743
21995.1
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
47095
47095
0
0
1
35
4.405
4.396
1.995
1.988
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
47095
47095
0
0
0
21
2.24
2.235
1.353
1.35
Total number of Males in the household (including children)
Generated by ERF
Number of Females
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
0
15
2.164
2.161
1.244
1.241
Total number of females in the household (including children)
0
1197
1197.803
1
15234
15256.731
2
14939
14971.222
3
9295
9292.645
4
4206
4178.931
5
1551
1535.26
6
467
460.646
7
147
144.221
8
37
36.011
9
12
11.744
10
5
4.912
13
3
3.015
14
1
0.911
15
1
0.947
Generated by ERF
Number of persons under age 14
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
0
20
1.333
1.326
1.385
1.38
Number of persons under age 14 living in the household
0
18372
18428.356
1
9351
9373.176
2
9632
9644.243
3
6204
6173.654
4
2485
2450.236
5
820
801.577
6
169
163.712
7
45
44.191
8
10
9.359
9
1
1.039
10
1
0.932
11
2
1.94
12
2
1.674
20
1
0.911
Generated by ERF
Number of persons aged 65 or more
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
0
3
0.177
0.177
0.435
0.435
Number of household members aged 65 or more including head and spouse.
0
39781
39795.041
1
6299
6286.376
2
1006
1004.686
3
9
8.898
Generated by ERF
Household composition
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
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
8010
8020.538
2
1-2 adults, 1-2 children
11241
11274.762
3
1-2 adult, 3 or more children
9948
9902.544
4
3 adults or more, 0-1 child
9781
9830.407
5
3 adults or more, 2-3 children
5897
5887.693
6
3 adults or more, 4 children or more
2218
2179.056
Head living in couple
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
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
9683
9681.061
1
Married couple head and spouse
37246
37249.799
2
Several cohabiting spouses
166
164.14
Generated by ERF
Number of earners
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Number of household members who receives any earnings.
1
24456
24393.658
2
16249
16299.069
3
4408
4420.776
4
1455
1455.509
5
408
407.658
6
92
91.099
7
22
22.033
8
4
4.199
9
1
0.999
Source of income
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Main income source of the household
10
Household business
16837
16749.569
20
Salaries and wages
22818
22885.798
30
Remittances from country or abroad
7345
7363.879
40
Pensions
0
0
50
Other
95
95.754
Type of dwelling [Standardized version]
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Type of the dwelling
1
House
11909
11688.082
2
Villa
106
105.26
3
Apartment
30311
30592.315
4
Others
4769
4709.343
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Type of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Type of the dwelling
100
House
0
0
110
Countryside house
11909
11688.082
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
106
105.26
210
Villa or floor in a villa
0
0
220
Part of a villa
0
0
230
Palace
0
0
300
Apartment
29665
29945.911
310
More than one apartment
646
646.404
400
Others
0
0
410
One or more separate room
1011
1015.989
420
One or more room in a housing unit
3731
3666.704
430
Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
27
26.65
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
47095
47095
0
0
Type of tenure
1
Rented
10281
10422.163
2
Owned
29421
29316.841
3
Provided free
7285
7254.017
4
Others
108
101.979
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Tenure of dwelling [Detailed version]
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Type of tenure
100
Rented
0
0
110
Unfurnished rent
0
0
120
Furnished rent
42
41.533
130
Old law rent
8967
9087.572
140
New law rent
1272
1293.058
150
Rent with key money
0
0
200
Owned
29421
29316.841
210
Unit owned (privately or jointly)
0
0
220
Unit bought
0
0
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
7121
7088.834
340
In-kind benefit
164
165.183
350
Without payment
0
0
400
Others
108
101.979
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
47095
47095
0
0
1
20
3.597
3.598
1.183
1.178
Number of rooms excluding bathroom and kitchen
1
1271
1262.174
2
4511
4463.033
3
16995
16990.431
4
17269
17349.017
5
5048
5052.899
6
1206
1196.235
7
306
301.111
8
294
287.751
9
69
67.907
10
60
58.4
11
13
13.206
12
28
27.48
13
3
3.02
14
5
5.307
15
7
7.263
16
5
5.105
17
1
0.927
18
1
0.934
19
1
0.934
20
2
1.864
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Electrified
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the dwelling is electrified or not
0
No
392
377.453
1
Electrified
46703
46717.547
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for lighting
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Distinguish between public and private sources of electricity and other sources of lighting
1
Public network
46703
46717.547
2
Private
0
0
3
Gas
13
12.695
4
Kerosene
366
351.997
5
Others
13
12.761
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Source of energy for cooking
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Distinguish between different sources of energy for cooking
1
Electricity
30
29.538
2
Gas
44289
44369.452
3
Kerosene
2620
2544.532
4
Wood & coal
119
114.575
5
Others
37
36.904
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Water facilities
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates from where the household get its drinking water
1
Piped supply
39137
39272.11
2
Public tap
4107
4028.742
3
Well
3479
3439.03
4
Tanker
0
0
5
Other
372
355.118
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicate whether the household has access to toilet facility
1
Yes and connected to sewage
22133
22374.098
2
Yes and not connected to sewage
24094
23857.656
3
No facility
868
863.246
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Toilet facility shared
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates whether the household shares the toilet facility or no
1
Private toilet
41702
41785.639
2
Shared toilet
4525
4446.116
3
No toilet facility
868
863.246
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Garbage disposal method
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates the method the household uses for garbage disposal
100
Collected
0
0
110
Collected by a garbage collector
10425
10561.175
120
Collected by a private company
6631
6738.038
130
Collected by government services
0
0
200
Thrown in a public bin
7852
7872.26
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
6577
6487.006
500
Thrown randomly
0
0
600
Burnt
0
0
700
Other
15610
15436.521
710
Heap
0
0
720
Pit
0
0
730
Recycled
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
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
44674
44608.68
1
Own one or many
2421
2486.32
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to bicycle, scooter, motorcycle, etc...
0
None
42261
42285.987
1
Own one or many
4834
4809.013
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a TV, LCD, LED, etc...
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a TV, LCD, LED, etc..
0
None
3826
3758.353
1
Own one or many
43269
43336.647
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has satellite dish, receiver, etc...
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a satellite dish, receiver, etc…
0
None
38273
38158.706
1
Own one or many
8822
8936.294
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has DVD, VCR, CD player, audio player, etc...
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a DVD, VCR, CD player, recorder, audio player etc…
0
None
11266
11111.453
1
Own one or many
35829
35983.547
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has photo or video camera
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a photo or video camera
0
None
44842
44763.699
1
Own one or many
2253
2331.301
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a telephone, cell phone etc…
0
None
25397
25221.206
1
Own one or many
21698
21873.794
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has internet line and related equipments (router, USB, etc...)
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
0
None
46085
46053.777
1
Own one or many
1010
1041.223
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
47095
47095
0
0
0
None
44233
44152.02
1
Own one or many
2862
2942.98
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has refrigerator, freezer, water cooler, etc...
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
0
None
9076
8895.471
1
Own one or many
38019
38199.529
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has cooker, stove, oven, etc...
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a gas or electric cooker, stove, oven, etc…
0
None
4135
4054.479
1
Own one or many
42960
43040.521
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has washing machine
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a manual or an automatic washing machine
0
None
4573
4452.602
1
Own one or many
42522
42642.398
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a dishwasher
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a dishwasher
0
None
46123
46091.024
1
Own one or many
972
1003.976
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an air conditioner
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to an air conditioner
0
None
44861
44804.524
1
Own one or many
2234
2290.476
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an electric fan
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to an electric fan
0
None
8309
8228.864
1
Own one or many
38786
38866.136
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a heater
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a gas, electric or solar heater
0
None
44367
44333.937
1
Own one or many
2728
2761.063
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a water heater
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a solar, gas or electric water heater
0
None
30029
29780.705
1
Own one or many
17066
17314.295
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has a VACUUM cleaner
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to a vacuum cleaner
0
None
41272
41125.244
1
Own one or many
5823
5969.756
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has an iron
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to an iron
0
None
14127
13919.27
1
Own one or many
32968
33175.73
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Has other durables
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
Indicates if the household owns or has free access to any other household appliance
0
None
46184
46143.793
1
Own one or many
911
951.207
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Age of the head
Data Dictionary & Questionnaire/Codebook
All heads
47095
47095
0
0
14
99
46.561
46.578
13.827
13.813
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
37412
37413.939
9683
9681.061
16
95
38.234
38.264
11.906
11.896
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
166
164.14
46929
46930.86
17
68
36.886
37.016
11.075
11.069
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
0.947
47094
47094.053
20
20
20
20
Age in years of the third spouse
20
1
0.947
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender of the head
Data Dictionary & Questionnaire/Codebook
All heads
47095
47095
0
0
Gender of the head
1
Male
39738
39734.893
2
Female
7357
7360.107
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses
37412
37413.939
9683
9681.061
Gender of the first spouse
1
Male
28
27.805
2
Female
37384
37386.134
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses
166
164.14
46929
46930.86
Gender of the second spouse
1
Male
0
0
2
Female
166
164.14
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses
1
0.947
47094
47094.053
Gender of the third spouse
1
Male
0
0
2
Female
1
0.947
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
47080
47080.47
15
14.53
Legal administrative status concerning marriage of the head
1
Never married
1223
1223.988
2
Married monogamous
38773
38771.89
3
Married polygamous
166
164.14
4
Divorced/Separated
596
599.436
5
Widowed
6322
6321.016
99
Not stated
0
0
Sysmiss
15
14.53
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
47080
47080.47
15
14.53
Legal administrative status concerning marriage
100
Never married
1223
1223.988
200
Married monogamous
0
0
210
Legally married
47
48.007
220
Married
38726
38723.884
300
Married polygamous
166
164.14
400
Divorced/Separated
0
0
410
Separated
0
0
420
Divorced
596
599.436
500
Widowed
6322
6321.016
999
Not stated
0
0
Sysmiss
15
14.53
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Partnership and parenthood status of the head
Data Dictionary & Questionnaire/Codebook
All heads
47095
47095
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
4041
4046.352
2
Head with partner, with children, Youngest child<18
30349
30318.879
3
Head with partner, with children, Youngest child 18+
4502
4522.793
4
Single Head, with no children
3838
3836.299
5
Single Head, with children, Youngest child<18
1924
1919.295
6
Single Head, with children, Youngest child 18+
2441
2451.383
Generated by ERF
Literacy status of the head
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
47095
47095
0
0
This variable indicates whether the head is literate (can read and write) or not
0
No
16983
16847.691
1
Can read & write
30112
30247.309
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Literacy status of the first spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
37412
37413.939
9683
9681.061
This variable indicates whether the first spouse is literate (can read and write) or not
0
No
18499
18348.756
1
Can read & write
18913
19065.183
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Literacy status of the second spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
166
164.14
46929
46930.86
This variable indicates whether the second spouse is literate (can read and write) or not
0
No
124
122.593
1
Can read & write
42
41.548
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Literacy status of the third spouse
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
0.947
47094
47094.053
This variable indicates whether the third spouse is literate (can read and write) or not
0
No
0
0
1
Can read & write
1
0.947
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
47095
47095
0
0
Highest level of education attained by the head
1
None
25607
25467.173
2
Primary/Lower secondary
3871
3888.63
3
Secondary
9825
9828.579
4
Post secondary or equivalent
1733
1739.64
5
University
5789
5894.254
6
Postgraduate
270
276.724
99
Not stated
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
37412
37413.939
9683
9681.061
Highest level of education attained by the first spouse
1
None
22011
21864.835
2
Primary/Lower secondary
2585
2583.7
3
Secondary
8284
8337.399
4
Post secondary or equivalent
1160
1168.453
5
University
3299
3382.603
6
Postgraduate
73
76.95
99
Not stated
0
0
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
166
164.14
46929
46930.86
Highest level of education attained by the second spouse
1
None
139
137.357
2
Primary/Lower secondary
11
10.686
3
Secondary
12
11.888
4
Post secondary or equivalent
1
0.947
5
University
3
3.262
6
Postgraduate
0
0
99
Not stated
0
0
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
0.947
47094
47094.053
Highest level of education attained by the third spouse
1
None
0
0
2
Primary/Lower secondary
0
0
3
Secondary
1
0.947
4
Post secondary or equivalent
0
0
5
University
0
0
6
Postgraduate
0
0
99
Not stated
0
0
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 10+ years
47095
47095
0
0
Highest level of education attained by the head.
100
None
0
0
110
Illiterate
16983
16847.691
120
Read only
0
0
130
Read & write
8624
8619.482
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
3858
3875.655
210
Primary
1
0.963
220
Preparatory
12
12.012
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
9825
9828.579
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
1733
1739.64
500
University
5789
5894.254
600
Postgraduate
270
276.724
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the first spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
37412
37413.939
9683
9681.061
Highest level of education attained by the first spouse.
100
None
0
0
110
Illiterate
18499
18348.756
120
Read only
0
0
130
Read & write
3512
3516.079
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
2581
2579.816
210
Primary
1
0.953
220
Preparatory
3
2.931
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
8284
8337.399
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
1160
1168.453
500
University
3299
3382.603
600
Postgraduate
73
76.95
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the second spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
166
164.14
46929
46930.86
Highest level of education attained by the second spouse.
100
None
0
0
110
Illiterate
124
122.593
120
Read only
0
0
130
Read & write
15
14.765
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
11
10.686
210
Primary
0
0
220
Preparatory
0
0
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
12
11.888
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
1
0.947
500
University
3
3.262
600
Postgraduate
0
0
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level of the third spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 10+ years
1
0.947
47094
47094.053
Highest level of education attained by the third spouse.
100
None
0
0
110
Illiterate
0
0
120
Read only
0
0
130
Read & write
0
0
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
0
0
220
Preparatory
0
0
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
1
0.947
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
0
0
500
University
0
0
600
Postgraduate
0
0
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All heads aged 6+ years
47095
47095
0
0
1
Employed
36915
36884.087
2
Unemployed
130
130.291
3
Homemaker (Housewife)
1333
1336.545
4
Student
46
45.368
5
Pensioners/retired/disabled
8580
8609.464
6
Others
91
89.244
99
Not stated
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the first spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
37412
37413.939
9683
9681.061
1
Employed
6582
6637.63
2
Unemployed
546
545.294
3
Homemaker (Housewife)
29304
29234.176
4
Student
23
22.508
5
Pensioners/retired/disabled
954
971.423
6
Others
3
2.908
99
Not stated
0
0
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the second spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
166
164.14
46929
46930.86
1
Employed
16
15.257
2
Unemployed
2
2.068
3
Homemaker (Housewife)
145
143.769
4
Student
1
0.982
5
Pensioners/retired/disabled
2
2.065
6
Others
0
0
99
Not stated
0
0
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the third spouse [Standardized version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
1
0.947
47094
47094.053
1
Employed
0
0
2
Unemployed
0
0
3
Homemaker (Housewife)
1
0.947
4
Student
0
0
5
Pensioners/retired/disabled
0
0
6
Others
0
0
99
Not stated
0
0
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All heads aged 6+ years
47095
47095
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
36915
36884.087
110
Employed during last week
0
0
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)
67
67.156
220
Unemployed never worked (looking for a job)
63
63.135
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
15
14.361
330
Working housewife
1318
1322.185
400
Student
9
8.834
410
Working student
37
36.534
500
Pensioners/retired/disabled
0
0
510
Pensioners
8580
8609.464
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
62
61.296
620
Out of human force
29
27.948
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the first spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
37412
37413.939
9683
9681.061
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
6582
6637.63
110
Employed during last week
0
0
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)
32
32.972
220
Unemployed never worked (looking for a job)
514
512.322
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
18419
18400.967
330
Working housewife
10885
10833.21
400
Student
0
0
410
Working student
23
22.508
500
Pensioners/retired/disabled
0
0
510
Pensioners
954
971.423
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
3
2.908
620
Out of human force
0
0
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
9683
9681.061
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the second spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
166
164.14
46929
46930.86
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
16
15.257
110
Employed during last week
0
0
120
Employed but temporary absent from work
0
0
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
0
0
220
Unemployed never worked (looking for a job)
2
2.068
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
82
81.519
330
Working housewife
63
62.251
400
Student
0
0
410
Working student
1
0.982
500
Pensioners/retired/disabled
0
0
510
Pensioners
2
2.065
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
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
46929
46930.86
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Main activity status of the third spouse [Detailed version]
Data Dictionary & Questionnaire/Codebook
All spouses aged 6+ years
1
0.947
47094
47094.053
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
0
110
Employed during last week
0
0
120
Employed but temporary absent from work
0
0
130
Waiting to go back to previous job
0
0
140
Found a job and waiting for the start date
0
0
150
Employed (1-14 hours) weekly
0
0
160
Employed (15 hours or more) weekly
0
0
170
Employed (35 hours or more) weekly
0
0
180
Managing own properties
0
0
200
Unemployed
0
0
210
Unemployed ever worked (looking for a job)
0
0
220
Unemployed never worked (looking for a job)
0
0
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
1
0.947
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
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
47094
47094.053
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Status of Employment of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
38337
38309.963
8758
8785.037
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
22532
22590.398
2
Employer
10229
10166.766
3
Own-account, self-employed
5462
5440.123
4
Contributing (unpaid) family worker
47
45.519
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
67
67.156
Sysmiss
8758
8785.037
Original survey variable recoded/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
17522
17526.32
29573
29568.68
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
4676
4734.307
2
Employer
316
318.307
3
Own-account, self-employed
6897
6894.142
4
Contributing (unpaid) family worker
5601
5546.591
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
32
32.972
Sysmiss
29573
29568.68
Original survey variable recoded/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
80
78.489
47015
47016.511
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
6
5.851
2
Employer
1
0.947
3
Own-account, self-employed
19
18.11
4
Contributing (unpaid) family worker
54
53.58
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
0
0
Sysmiss
47015
47016.511
Original survey variable recoded/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
0
47095
47095
Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job of the third spouse, ideally following the ICSE classification.
1
Employee
0
0
2
Employer
0
0
3
Own-account, self-employed
0
0
4
Contributing (unpaid) family worker
0
0
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
0
0
Sysmiss
47095
47095
Original survey variable recoded/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
38337
38309.963
8758
8785.037
10
Legislators, senior officials and managers
4265
4281.885
20
Professionals
4674
4724.592
30
Technicians and associate professionals
3485
3509.8
40
Clerks
1287
1287.988
50
Service workers and shop and market sales workers
4593
4598.503
60
Skilled agricultural and fishery workers
10484
10351.628
70
Craft and related trades workers
5393
5396.149
80
Plant and machine operators, and assemblers
3102
3109.022
90
Elementary occupations
1054
1050.397
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
8758
8785.037
Original survey variable recoded/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
17522
17526.32
29573
29568.68
International Standard Occupational classification of the main (current or last held) job of the first spouse
10
Legislators, senior officials and managers
466
473.983
20
Professionals
2038
2074.094
30
Technicians and associate professionals
1321
1333.704
40
Clerks
532
533.216
50
Service workers and shop and market sales workers
613
611.726
60
Skilled agricultural and fishery workers
12205
12152.711
70
Craft and related trades workers
217
215.389
80
Plant and machine operators, and assemblers
79
80.337
90
Elementary occupations
51
51.159
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
29573
29568.68
Original survey variable recoded/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
80
78.489
47015
47016.511
International Standard Occupational classification of the main (current or last held) job of the second spouse
10
Legislators, senior officials and managers
2
1.902
20
Professionals
1
1.071
30
Technicians and associate professionals
1
0.982
40
Clerks
1
0.966
50
Service workers and shop and market sales workers
2
2.16
60
Skilled agricultural and fishery workers
71
69.475
70
Craft and related trades workers
2
1.933
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
47015
47016.511
Original survey variable recoded/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
0
47095
47095
International Standard Occupational classification of the main (current or last held) job of the third spouse
10
Legislators, senior officials and managers
0
0
20
Professionals
0
0
30
Technicians and associate professionals
0
0
40
Clerks
0
0
50
Service workers and shop and market sales workers
0
0
60
Skilled agricultural and fishery workers
0
0
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
47095
47095
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job of the head [Unrecoded version]
Ever-employed Active heads aged 6+
38337
8758
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
4265
2
Professionals
4674
3
Technicians and associate professionals
3485
4
Clerks
1287
5
Service workers and shop and market sales
4593
6
Skilled agricultural and fishery workers
10484
7
Craft and related trades
5393
8
Plant and machine operators and assemblers
3102
9
Elementary occupations
1054
10
Armed Forces
0
9999
Not stated
0
Sysmiss
8758
Occupation classification for the main job of the first spouse [Unrecoded version]
Ever-employed Active spouses aged 6+
17522
29573
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
466
2
Professionals
2038
3
Technicians and associate professionals
1321
4
Clerks
532
5
Service workers and shop and market sales
613
6
Skilled agricultural and fishery workers
12205
7
Craft and related trades
217
8
Plant and machine operators and assemblers
79
9
Elementary occupations
51
10
Armed Forces
0
9999
Not stated
0
Sysmiss
29573
Occupation classification for the main job of the second spouse [Unrecoded version]
Ever-employed Active spouses aged 6+
80
47015
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
2
2
Professionals
1
3
Technicians and associate professionals
1
4
Clerks
1
5
Service workers and shop and market sales
2
6
Skilled agricultural and fishery workers
71
7
Craft and related trades
2
8
Plant and machine operators and assemblers
0
9
Elementary occupations
0
10
Armed Forces
0
9999
Not stated
0
Sysmiss
47015
Occupation classification for the main job of the third spouse [Unrecoded version]
Ever-employed Active spouses aged 6+
0
47095
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
Not stated
0
Sysmiss
47095
Industry classification for the main job of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
38337
38309.963
8758
8785.037
10
Agriculture and Fishing
10902
10768.024
20
Mining
88
88.239
30
Manufacturing
4757
4792.022
40
Electricity and Utilities
519
519.404
50
Construction
3112
3109.05
60
Commerce
4692
4706.968
70
Transportation, Storage and Communication
3865
3863.983
80
Financial, Insurance and Real Estate
898
907.275
90
Public Administration and Defence
4391
4413.655
100
Other services
5113
5141.344
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
8758
8785.037
Original survey variable recoded/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
17522
17526.32
29573
29568.68
Industry classification of the main (current or last held) job of the first spouse
10
Agriculture and Fishing
12236
12186.081
20
Mining
6
6.17
30
Manufacturing
424
424.825
40
Electricity and Utilities
43
44.478
50
Construction
32
33.976
60
Commerce
594
592.635
70
Transportation, Storage and Communication
184
183.641
80
Financial, Insurance and Real Estate
147
150.523
90
Public Administration and Defence
1037
1051.599
100
Other services
2819
2852.392
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
29573
29568.68
Original survey variable recoded/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
80
78.489
47015
47016.511
Industry classification of the main (current or last held) job of the second spouse
10
Agriculture and Fishing
71
69.475
20
Mining
0
0
30
Manufacturing
2
1.933
40
Electricity and Utilities
0
0
50
Construction
0
0
60
Commerce
3
3.083
70
Transportation, Storage and Communication
0
0
80
Financial, Insurance and Real Estate
1
0.982
90
Public Administration and Defence
1
0.966
100
Other services
2
2.05
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
47015
47016.511
Original survey variable recoded/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
0
47095
47095
Industry classification of the main (current or last held) job of the third spouse
10
Agriculture and Fishing
0
0
20
Mining
0
0
30
Manufacturing
0
0
40
Electricity and Utilities
0
0
50
Construction
0
0
60
Commerce
0
0
70
Transportation, Storage and Communication
0
0
80
Financial, Insurance and Real Estate
0
0
90
Public Administration and Defence
0
0
100
Other services
0
0
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
47095
47095
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Industry classification for the main job of the head [Unrecoded version]
Ever-employed Active heads aged 6+
38337
8758
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
10630
2
Fishing
272
3
Mining and quarrying
88
4
Manufacturing
4757
5
Electricity, gas, steam and water supply
519
6
Construction
3112
7
Wholesale and retail trade
4692
8
Hotels and restaurants
770
9
Transportation, storage and communication
3095
10
Financial and insurance activities
332
11
Real estate activities
566
12
Public administration and defence; compulsory social securit
4391
13
Education
3162
14
Human health and social work activities
773
15
Social service activities
939
16
Household domestic services
239
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
8758
Industry classification for the main job of the first spouse [Unrecoded version]
Ever-employed Active heads aged 6+
17522
29573
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
12234
2
Fishing
2
3
Mining and quarrying
6
4
Manufacturing
424
5
Electricity, gas, steam and water supply
43
6
Construction
32
7
Wholesale and retail trade
594
8
Hotels and restaurants
43
9
Transportation, storage and communication
141
10
Financial and insurance activities
92
11
Real estate activities
55
12
Public administration and defence; compulsory social securit
1037
13
Education
2082
14
Human health and social work activities
622
15
Social service activities
48
16
Household domestic services
67
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
29573
Industry classification for the main job of the second spouse [Unrecoded version]
Ever-employed Active heads aged 6+
80
47015
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
71
2
Fishing
0
3
Mining and quarrying
0
4
Manufacturing
2
5
Electricity, gas, steam and water supply
0
6
Construction
0
7
Wholesale and retail trade
3
8
Hotels and restaurants
0
9
Transportation, storage and communication
0
10
Financial and insurance activities
0
11
Real estate activities
1
12
Public administration and defence; compulsory social securit
1
13
Education
2
14
Human health and social work activities
0
15
Social service activities
0
16
Household domestic services
0
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
47015
Industry classification for the main job of the third spouse [Unrecoded version]
Ever-employed Active heads aged 6+
0
47095
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
0
2
Fishing
0
3
Mining and quarrying
0
4
Manufacturing
0
5
Electricity, gas, steam and water supply
0
6
Construction
0
7
Wholesale and retail trade
0
8
Hotels and restaurants
0
9
Transportation, storage and communication
0
10
Financial and insurance activities
0
11
Real estate activities
0
12
Public administration and defence; compulsory social securit
0
13
Education
0
14
Human health and social work activities
0
15
Social service activities
0
16
Household domestic services
0
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
47095
Sector of employment of the head [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
38337
38309.963
8758
8785.037
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the head.
1
Government
10130
10173.684
2
Public sector
2222
2235.383
3
Private sector
18386
18385.67
4
Joint/Cooperative
44
43.265
5
Foreign sector
78
81.923
6
Other
7477
7390.037
99
Not stated
0
0
Sysmiss
8758
8785.037
Original survey variable recoded/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
17522
17526.32
29573
29568.68
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the first spouse.
1
Government
3777
3820.616
2
Public sector
203
207.962
3
Private sector
7045
7040.229
4
Joint/Cooperative
10
10.091
5
Foreign sector
10
11.095
6
Other
6477
6436.326
99
Not stated
0
0
Sysmiss
29573
29568.68
Original survey variable recoded/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
80
78.489
47015
47016.511
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the second spouse.
1
Government
3
3.016
2
Public sector
0
0
3
Private sector
42
40.964
4
Joint/Cooperative
0
0
5
Foreign sector
0
0
6
Other
35
34.509
99
Not stated
0
0
Sysmiss
47015
47016.511
Original survey variable recoded/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
0
47095
47095
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
0
2
Public sector
0
0
3
Private sector
0
0
4
Joint/Cooperative
0
0
5
Foreign sector
0
0
6
Other
0
0
99
Not stated
0
0
Sysmiss
47095
47095
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Sector of employment of the head [Detailed version]
Data Dictionary & Questionnaire/Codebook
Ever-employed Active heads aged 6+ years
38337
38309.963
8758
8785.037
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
10130
10173.684
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
2122
2136.662
210
Economic institutions
100
98.721
300
Private sector
18386
18385.67
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
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
44
43.265
430
Joint local sector
0
0
500
Foreign sector
78
81.923
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
22
22.086
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
7455
7367.952
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
8758
8785.037
Original survey variable recoded/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
17522
17526.32
29573
29568.68
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
3777
3820.616
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
189
193.369
210
Economic institutions
14
14.593
300
Private sector
7045
7040.229
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
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
10
10.091
430
Joint local sector
0
0
500
Foreign sector
10
11.095
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
10
9.999
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
6467
6426.327
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
29573
29568.68
Original survey variable recoded/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
80
78.489
47015
47016.511
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
3
3.016
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
42
40.964
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
0
0
420
Cooperative
0
0
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
0
0
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
35
34.509
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
47015
47016.511
Original survey variable recoded/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
0
47095
47095
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the third spouse. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
100
Government
0
0
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
0
0
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
350
Private- Foreign
0
0
360
Private- Foreign inside establishment
0
0
370
Private- Foreign outside establishment
0
0
380
Private- Families
0
0
400
Joint/Cooperative
0
0
410
Joint
0
0
420
Cooperative
0
0
430
Joint local sector
0
0
500
Foreign sector
0
0
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
0
0
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
0
0
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
47095
47095
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Expenses on food and non-alcoholic beverages
All households
47095
47095
0
0
37.8
50928.6
4995.728
5007.098
2590.772
2600.966
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)
Expenses on purchased Bread and Cereals
All households
47086
47085.338
9
9.662
24
7299.6
811.269
811.23
468.015
467.926
Expenses on purchased Bread and Cereals
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Rice expenditures
All households
0
0
47095
47095
Expenditures on rice in all forms
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Grains and flour expenditures
All households
0
0
47095
47095
Wheat, Maize, Barely and all cereals in the grain or flour form
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Bread and cakes expenditures
All households
0
0
47095
47095
Bread in all forms, biscuits, cakes pizza..
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Pasta expenditures
All households
0
0
47095
47095
Macaroni, Noodles, Couscous ..
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cereal preparation expenditures
All households
0
0
47095
47095
Cornflakes, malt, tapioca..
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Bread and Cereals
All households
0
0
47095
47095
Expenses on own-Produced Bread and Cereals
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Meat and Poultry
All households
46738
46738.634
357
356.366
24
20712
1409.003
1412.616
936.537
940.69
Expenses on purchased Meat and Poultry
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Sheep and goats Meat expenditures
All households
0
0
47095
47095
Fresh frozen and tinned goats and sheep meat
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cow meat expenditures
All households
0
0
47095
47095
Fresh frozen and tinned cow meat
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other meat expenditures
All households
0
0
47095
47095
Fresh frozen and tinned camel, rabbit, pork etc. meat
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Chicken meat expenditures
All households
0
0
47095
47095
Fresh frozen and tinned chicken, turkey, birds etc. meat
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Luncheon and Tinned meat expenditures
All households
0
0
47095
47095
Fresh and frozen luncheon, tinned and others meat
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Meat and Poultry
All households
0
0
47095
47095
Expenses on own-Produced Meat and Poultry
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fish expenditures
All households
0
0
47095
47095
Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Seafood expenditures
All households
0
0
47095
47095
Fresh, frozen and proceed seafood
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Fish and Seafood
All households
41144
41255.742
5951
5839.258
6
5760
358.486
358.925
310.069
309.299
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
47095
47095
Expenses on own-Produced Fish and Seafood
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Milk expenditures
All households
0
0
47095
47095
Fresh, powder, condensed and infant powder milk expenses
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Yogurt expenditures
All households
0
0
47095
47095
Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Cheese expenditures
All households
0
0
47095
47095
Processed, home made, tinned etc. cheese
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Eggs expenditures
All households
0
0
47095
47095
Eggs and wholly made egg products
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Dairy Products
All households
46741
46743.42
354
351.58
12
7854
624.971
629.22
478.344
481.012
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
47095
47095
Expenses on own-Produced Dairy Products
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Olive oil expenditures
All households
0
0
47095
47095
Olive oil
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Other oils expenditures
All households
0
0
47095
47095
Corn, sunflower, soya etc
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Butter and margarine expenditures
All households
0
0
47095
47095
Butter, margarine, ghee, ...
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fat expenses
All households
0
0
47095
47095
Animal and vegetable fats and other edible
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on purchased Oil & Fats
All households
47062
47061.067
33
33.933
3.6
7278
407.706
407.407
241.276
241.157
Expenses on purchased Oil & Fats
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on own-Produced Oil & Fats
All households
0
0
47095
47095
Expenses on own-Produced Oil & Fats
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Fruits expenses
All households
46966
46965.225
129
129.775
3
7566
347.15
348.967
313.242
315.899
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
47095
47095
Expenses on own-Produced Fruits
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Vegetables expenses
All households
47067
47066.581
28
28.419
12
4320
615.568
615.076
315.414
314.492
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
47095
47095
Expenses on own-Produced Vegetables
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on sugar and jam expenditure
All households
47083
47082.443
12
12.557
6
4824.6
244.908
245.275
190.066
190.799
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
47095
47095
Expenses on own-Produced Sugar and Jam
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Spices expenditures
All households
47056
47055.785
39
39.215
2.4
1722
82.559
82.702
61.779
61.898
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
47095
47095
Expenses on Own-Produced Spices
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Beverages expenditure
All households
47062
47062.117
33
32.883
4.8
4032
156.784
157.608
150.523
152.227
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
47095
47095
Expenses on own-Produced Beverages
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified food
All households
0
0
47095
47095
Includes all other purchased food items non-specified in the questionnaire
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on other non-specified own-produced food
All households
0
0
47095
47095
Includes all other own produced food items non-specified in the questionnaire
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total purchased food
All households
47095
47095
0
0
37.8
50928.6
4995.728
5007.098
2590.772
2600.966
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
47095
47095
Food and beverage own produced products, consumed or given away
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on total Gifts and in-kind food
All households
0
0
47095
47095
Food and beverage products received from other households
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on alcohol and tobacco
All households
20123
20058.635
26972
27036.365
9
13950
773.78
775.432
617.952
621.537
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
47095
47095
Expenses on alcoholic beverages, spirits, wine, beer..
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Tobacco expenditures
All households
0
0
47095
47095
Expenses on tobacco, cigarettes, etc.
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on clothing and footwear
All households
46870
46872.665
225
222.335
1
25466
923.107
930.124
887.764
903.006
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
45958
45971.983
1137
1123.017
1
15136
585.177
590.223
640.967
650.818
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
42441
42405.108
4654
4689.892
0.5
2395
104.902
104.739
109.75
109.84
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
30038
29982.92
17057
17112.08
2
3450
74.293
75.169
113.602
115.765
All tailoring, cleaning, repairing charges of clothes
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Footwear expenditures
All households
46501
46505.203
594
589.797
1
6920
180.432
181.942
168.423
171.833
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
18877
18876.855
28218
28218.145
2
1500
68.781
69.246
65.451
66.578
School Clothes, Uniforms and Footwear expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on housing and utilities
All households
47095
47095
0
0
30
63712
1781.263
1793.747
1656.624
1694.217
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
10327
10467.893
36768
36627.107
8.4
20400
764.2
767.001
981.032
995.004
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
36833
36693.185
10262
10401.815
12
60000
1425.674
1440.225
1503.367
1542.87
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
14291
14356.888
32804
32738.112
2
21000
233.974
234.398
778.588
783.348
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
44895
44945.497
2200
2149.503
1
4980
129.885
130.872
125.1
126.138
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
47095
47095
0
0
5
8232
303.853
304.785
188.733
191.818
Electricity, Gas, Liquid and solid fuels, Heat energy
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on furniture & housing equipment
All households
47095
47095
0
0
6
44458
480.899
484.539
890.082
894.454
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
7154
7187.932
39941
39907.068
3
30400
256.133
255.135
1128.504
1124.016
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
1000
1000.248
46095
46094.752
3
21000
86.812
87.386
688.224
686.906
Furniture and furnishings repair
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Household textiles expenditures
All households
29080
29074.031
18015
18020.969
2
7200
105.754
105.957
196.974
196.814
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
3016
3018.305
44079
44076.695
0.5
10000
409.485
413.125
783.113
788.957
Major household appliances whether electric or not
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Small Household appliances expenditures
All households
1719
1737.871
45376
45357.129
2
2145
73.154
73.157
110.753
110.967
Small electric appliances
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Repair of appliances expenditures
All households
13008
13082.811
34087
34012.189
1
1000
41.406
41.502
47.068
46.954
Repair of appliances expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Glassware, tableware and household utensils expenditures
All households
37167
37093.873
9928
10001.127
1
6450
43.508
43.635
104.443
104.66
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
327
323.87
46768
46771.13
2
1500
145.323
146.421
163.381
165.561
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
30196
30190.6
16899
16904.4
0.5
1510
22.042
22.185
30.06
30.415
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
47095
47095
0
0
5
12900
285.039
288.027
361.883
369.636
Non-durable household goods and domestic services
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on health
All households
46437
46436.611
658
658.389
1
48080
455.612
459.604
980.584
995.937
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
45517
45517.22
1578
1577.78
1
24150
234.256
236.209
475.46
484.102
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
1502
1532.146
45593
45562.854
1
7011
156.761
156.422
262.905
259.668
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
45185
45190.429
1910
1904.571
1
42030
227.047
229.057
735.976
744.678
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on medical services Abroad
All households
0
0
47095
47095
Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on transport
All households
42601
42610.72
4494
4484.28
3
76903
505.838
513.685
1276.197
1303.07
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
327
328.472
46768
46766.528
12
76000
3142.737
3218.722
8687.502
8875.505
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
5453
5511.344
41642
41583.656
2
18990
1195.515
1223.964
1853.108
1877.285
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
41552
41536.812
5543
5558.188
3
16800
336.984
339.11
443.56
447.725
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
0
0
47095
47095
School Transportation services expenditures
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on communication
All households
28035
28208.589
19060
18886.411
1
14650
436.849
441.48
588.094
596.292
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
27969
28142.347
19126
18952.653
1
14650
430.808
435.393
579.361
587.391
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
789
804.939
46306
46290.061
3
3000
250.663
249.155
362.565
363.115
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
36365
36443.217
10730
10651.783
1
60165
386.257
394.187
1197.582
1220.926
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
14772
14866.617
32323
32228.383
2
12000
105.548
106.388
357.842
359.503
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
8755
8816.606
38340
38278.394
1
11400
54.251
55.116
229.606
231.186
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
32672
32756.317
14423
14338.683
1
60165
287.022
293.804
1127.527
1150.899
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
16382
16507.244
30713
30587.756
0.5
8200
160.817
161.985
249.57
250.578
School books and stationery, etc.
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on education
All households
26653
26671.145
20442
20423.855
0.5
80800
620.828
634.141
1650.44
1694.941
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on pre-primary and primary education
All households
18372
18336.04
28723
28758.96
1
18000
252.026
258.233
620.929
637.389
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
15277
15274.682
31818
31820.318
0.5
65000
545.345
556.7
1234.805
1287.01
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
5252
5303.154
41843
41791.846
1
50400
677.752
687.899
2185.825
2215.707
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
81
82.799
47014
47012.201
10
3000
319.862
324.067
468.918
469.813
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
47095
47095
Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on restaurants and hotels
All households
40833
40875.388
6262
6219.612
5
17280
429.305
433.408
577.627
588.214
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
40770
40811.408
6325
6283.592
5
15372
421.824
425.903
553.869
564.638
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
School restaurants expenditures
All households
0
0
47095
47095
Meals, snacks, and drinks provided in school restaurants
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Accommodation and hotel expenses
All households
487
485.836
46608
46609.164
5
10000
681.877
687.484
921.33
945.236
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenses on miscellaneous goods and services
All households
47069
47069.367
26
25.633
4
42730
572.726
579.063
814.714
825.3
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
46800
46805.798
295
289.202
1
19320
324.461
328.026
430.675
438.54
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
0
0
47095
47095
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.
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Insurance and financial services expenditures
All households
17183
17305.205
29912
29789.795
3
3360
167.279
168.655
174.702
175.967
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
15792
15840.457
31303
31254.543
1
16055
68.344
68.913
240.17
239.639
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
46245
46243.635
850
851.365
3
40600
169.082
170.67
495.319
497.478
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
47095
47095
0
0
169.8
55284
5360.899
5376.176
2843.624
2861.574
Total food expenditures
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenses on durables
All households
20025
20112.541
27070
26982.459
0.5
76985
306.365
308.631
1560.825
1581.635
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
47091
47091.338
4
3.662
8.4
60000
1282.702
1292.707
1434.586
1468.852
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
47095
47095
0
0
42
124427.4
4859.725
4911.344
5280.628
5397.585
Total expenditures on non-food and non-durables
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Total expenditures
All households
47095
47095
0
0
888.4
190731.4
11268.313
11342.854
8099.294
8246.075
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
2935
2927.439
44160
44167.561
5
70500
1481.55
1492.505
4127.592
4152.865
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
47095
47095
Interest paid on loans for the purchase of consumption or durable goods
Sysmiss
47095
47095
Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
Expenditures on taxes and levies
All households
6123
6141.877
40972
40953.123
0.3
25000
106.263
107.043
514.427
516.393
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
28990
29059.258
18105
18035.742
200
560000
9193.78
9261.952
8305.364
8423.23
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
25002
24894.438
22093
22200.562
36
651000
8142.313
8178.013
10735.59
10997.906
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
36686
36545.852
10409
10549.148
12
59000
1384.534
1398.682
1485.808
1523.895
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
4704
4759.291
42391
42335.709
36
125000
4935.299
4990.265
6708.266
6867.125
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Current transfers received
Data Dictionary & Questionnaire/Codebook
All households
22788
22807.694
24307
24287.306
5
371220
3747.357
3779.54
5532.201
5603.779
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Total disposable income
Data Dictionary & Questionnaire/Codebook
All households
47095
47095
0
0
735
663000
13366.71
13457.93
12278.109
12570.071
Total disposable income
Aggregate computed by ERF (Ref: Data dictionary.pdf)
Country
Data Dictionary & Questionnaire/Codebook
All households
207431
0
A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
12
Algeria
0
48
Bahrain
0
262
Djibouti
0
275
Palestine
0
368
Iraq
0
400
Jordan
0
414
Kuwait
0
422
Lebanon
0
434
Libya
0
478
Mauritania
0
504
Morocco
0
512
Oman
0
634
Qatar
0
682
Saudi Arabia
0
729
Sudan
0
760
Syrian Arab Republic
0
784
United Arab Emirates
0
788
Tunisia
0
818
Egypt
207431
887
Yemen
0
Generated by ERF
Survey Year
Data Dictionary & Questionnaire/Codebook
All households
207431
0
Year during which the survey was performed
2004
207431
Generated by ERF
Unique unit identifier
Data Dictionary & Questionnaire/Codebook
All households
207431
0
1
47095
23531.557
13559.683
Sequential anonymous household identifier usually provided in the dataset
Original survey variable renamed (Ref: Data dictionary.pdf)
Primary Sampling Unit serial number
All households
207431
0
1
153
26.74
27.998
Anonymous Primary Sampling Unit identifier usually provided in the dataset
Household weight
Data Dictionary & Questionnaire/Codebook
All households
207431
0
0.559
1.535
0.998
0.08
Data provider household weight
Original survey variable renamed (Ref: Data dictionary.pdf)
Region
Data Dictionary & Questionnaire/Codebook
All households
207431
207029.028
0
0
Region of residence
1
Cairo
22843
23830.628
2
Alexandria
11321
11653.455
3
Port Said
1780
1611.557
4
Suez
1440
1545.924
11
Damietta
3065
2938.764
12
Dakahlia
14485
14974.31
13
Sharkia
14518
15053.776
14
Qualioubia
11519
11376.404
15
Kafr Elsheikh
7493
7364.177
16
Gharbia
11533
11640.541
17
Monofia
9785
9990.515
18
Beheira
12926
12863.168
19
Ismailya
2647
2568.588
21
Giza
16916
16597.545
22
Bani Swef
7332
7114.37
23
Fayoum
7374
7222.68
24
Menia
12621
12103.487
25
Assiut
9963
9293.747
26
Sohag
11213
11220.236
27
Qena
8970
8705.113
28
Aswan
3373
3417.335
29
Luxor
1397
1356.121
31
ElBahr ElAhmar
488
430.012
32
ElWadi ElGadid
375
441.445
33
Matrouh
774
740.417
34
North Sinai
965
796.649
35
South Sinai
315
178.062
Original survey variable renamed (Ref: Data dictionary.pdf)
Urban/Rural residence
Data Dictionary & Questionnaire/Codebook
All households
207431
207029.028
0
0
Indicates whether the region is urban/rural
0
Rural
118588
117253.424
1
Urban
88843
89775.604
2
Refugee camps
0
0
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available
Person identifier
Data Dictionary & Questionnaire/Codebook
All individuals
207431
207029.028
0
0
Person identification number (usually the person line number in the household)
1
47095
47095
2
44042
44044.493
3
38644
38633.56
4
31716
31687.134
5
21960
21878.583
6
12349
12247.957
7
6163
6081.655
8
2930
2877.614
9
1330
1303.904
10
591
579.745
11
256
250.827
12
132
129.579
13
76
74.635
14
48
47.445
15
27
26.408
16
17
16.89
17
14
13.998
18
9
8.964
19
5
4.906
20
4
3.926
21
3
2.944
22
3
2.944
23
3
2.944
24
3
2.944
25
1
0.911
26
1
0.911
27
1
0.911
28
1
0.911
29
1
0.911
30
1
0.911
31
1
0.911
32
1
0.911
33
1
0.911
34
1
0.911
35
1
0.911
Original survey variable renamed (Ref: Data dictionary.pdf)
Age
Data Dictionary & Questionnaire/Codebook
All individuals
207431
207029.028
0
0
0
99
25.923
25.964
18.682
18.685
Age in years.
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Gender
Data Dictionary & Questionnaire/Codebook
All individuals
207431
207029.028
0
0
Indicator for gender of individual.
1
Male
105502
105277.405
2
Female
101929
101751.624
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Standardized version]
Data Dictionary & Questionnaire/Codebook
129238
129212.574
78193
77816.454
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
39070
39068.879
2
Married monogamous
80128
80114.314
3
Married polygamous
166
164.14
4
Divorced/Separated
1192
1194.449
5
Widowed
8679
8667.864
99
Not stated
3
2.929
Sysmiss
78193
77816.454
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Marital status [Detailed version]
Data Dictionary & Questionnaire/Codebook
129238
129212.574
78193
77816.454
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
39070
39068.879
200
Married monogamous
0
0
210
Legally married
526
529.561
220
Married
79602
79584.753
300
Married polygamous
166
164.14
400
Divorced/Separated
0
0
410
Separated
0
0
420
Divorced
1192
1194.449
500
Widowed
8679
8667.864
999
Not stated
3
2.929
Sysmiss
78193
77816.454
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
207431
207029.028
0
0
1
Head of household
47095
47095
2
Spouse
37579
37579.026
3
Son/daughter
113152
112783.883
4
Father/Mother (parents)
2219
2209.103
5
Brother/sister
1925
1910.809
6
Grandchildren
3049
3037.945
7
Other relatives
2297
2294.176
8
Other non-relatives
115
119.086
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Relationship to head [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
207431
207029.028
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
47095
47095
200
Spouse
37579
37579.026
300
Son/Daughter
113152
112783.883
310
Adopted children
0
0
400
Father/mother (parents)
2219
2209.103
500
Brother/sister
1925
1910.809
600
Grandchildren
3049
3037.945
700
Other relatives
918
921.846
710
Son/daughter in law
1379
1372.33
720
Grandparents
0
0
730
Father/mother in law
0
0
800
Other non-relatives
115
119.086
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
161219
160850.448
46212
46178.581
Indicates whether the father is present at home, not a household member or dead.
1
Yes
103064
102707.518
2
Father is not a household member
58155
58142.93
3
Father is dead
0
0
Sysmiss
46212
46178.581
Generated by ERF
Mother present at home
Data Dictionary & Questionnaire/Codebook
All individuals
164858
164464.293
42573
42564.736
Indicates whether the mother is present at home, not a household member or dead.
1
Yes
117195
116807.979
2
Mother is not a household member
47663
47656.314
3
Mother is dead
0
0
Sysmiss
42573
42564.736
Generated by ERF
ID of the father
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
Indicates the PNUM (the line number in the HH) of the father
1
100661
100317.299
2
616
609.08
3
653
649.833
4
300
302.668
5
266
264.935
6
188
186.549
7
147
145.781
8
84
83.458
9
53
53.882
10
33
32.369
11
8
7.757
12
21
21.363
13
9
8.599
14
9
8.343
15
3
3.235
16
1
1.1
19
4
3.975
22
2
1.823
26
3
2.734
31
3
2.734
Sysmiss
104367
104321.51
Generated by ERF
ID of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
Indicates the PNUM (the line number in the HH) of the mother
1
12491
12466.584
2
99130
98803.398
3
1394
1389.411
4
1110
1101.146
5
889
887.511
6
836
828.797
7
570
564.027
8
313
311.275
9
205
200.695
10
105
105.076
11
64
63.815
12
9
8.714
13
24
24.225
14
17
16.363
15
14
13.319
16
4
4.214
17
4
3.985
20
4
3.975
23
2
1.823
24
4
4.157
27
3
2.734
32
3
2.734
Sysmiss
90236
90221.049
Generated by ERF
Age of the father
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
18
96
46.025
46.033
10.837
10.828
Indicates the Age of the father
Generated by ERF
Age of the mother
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
16
99
40.005
40.025
10.685
10.679
Indicates the Age of the mother
Generated by ERF
Marital status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
Indicates the Marital status of the father [Standardized version]
1
Never married
0
0
2
Married monogamous
100852
100520.183
3
Married polygamous
744
728.471
4
Divorced/Separated
163
165.244
5
Widowed
1305
1293.62
99
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Marital status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
Indicates the Marital status of the mother [Standardized version]
1
Never married
0
0
2
Married monogamous
104898
104532.037
3
Married polygamous
0
0
4
Divorced/Separated
970
982.871
5
Widowed
11327
11293.071
99
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Marital status of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
Indicates the Marital status of the father
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
100852
100520.183
300
Married polygamous
744
728.471
400
Divorced/Separated
0
0
410
Separated
0
0
420
Divorced
163
165.244
500
Widowed
1305
1293.62
999
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Marital status of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
Indicates the Marital status of the mother
100
Never married
0
0
200
Married monogamous
0
0
210
Legally married
0
0
220
Married
104898
104532.037
300
Married polygamous
0
0
400
Divorced/Separated
0
0
410
Separated
0
0
420
Divorced
970
982.871
500
Widowed
11327
11293.071
999
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Educational level of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
Indicates the Educational level of the father [Standardized version]
1
None
57010
56483.591
2
Primary/Lower secondary
8916
8929.974
3
Secondary
21053
21017.123
4
Post secondary or equivalent
3837
3836.779
5
University
11716
11893.996
6
Postgraduate
532
546.056
99
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Educational level of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
Indicates the Educational level of the mother [Standardized version]
1
None
78459
77770.017
2
Primary/Lower secondary
7382
7369.424
3
Secondary
20860
20971.967
4
Post secondary or equivalent
2875
2889.42
5
University
7441
7620.596
6
Postgraduate
178
186.555
99
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Educational level of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
Indicates the Educational level of the father
100
None
0
0
110
Illiterate
34962
34540.892
120
Read only
0
0
130
Read & write
22048
21942.699
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
8915
8929.049
210
Primary
0
0
220
Preparatory
1
0.925
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
21053
21017.123
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
3837
3836.779
500
University
11716
11893.996
600
Postgraduate
532
546.056
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Educational level of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
Indicates the Educational level of the mother
100
None
0
0
110
Illiterate
67615
66931.148
120
Read only
0
0
130
Read & write
10844
10838.868
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
7373
7360.608
210
Primary
4
3.813
220
Preparatory
5
5.003
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
20860
20971.967
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
2875
2889.42
500
University
7441
7620.596
600
Postgraduate
178
186.555
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Main activity of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
1
Employed
95524
95137.346
2
Unemployed
183
181.021
3
Homemaker (Housewife)
0
0
4
Student
54
52.369
5
Pensioners/retired/disabled
7113
7151.018
6
Others
190
185.764
99
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Main activity of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
1
Employed
21796
21870.778
2
Unemployed
1076
1075.047
3
Homemaker (Housewife)
83803
83327.863
4
Student
96
93.334
5
Pensioners/retired/disabled
9560
9584.527
6
Others
864
856.429
99
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Main activity of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
103064
102707.518
104367
104321.51
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
95524
95137.346
110
Employed during last week
0
0
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)
158
156.887
220
Unemployed never worked (looking for a job)
25
24.133
230
Temporary unemployed (in military services)
0
0
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
54
52.369
500
Pensioners/retired/disabled
0
0
510
Pensioners
7113
7151.018
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
104
103.117
620
Out of human force
86
82.647
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
104367
104321.51
Generated by ERF
Main activity of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
117195
116807.979
90236
90221.049
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
21796
21870.778
110
Employed during last week
0
0
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)
73
75.02
220
Unemployed never worked (looking for a job)
1003
1000.027
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
46525
46323.639
330
Working housewife
37278
37004.223
400
Student
0
0
410
Working student
96
93.334
500
Pensioners/retired/disabled
0
0
510
Pensioners
9560
9584.527
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
583
578.725
620
Out of human force
281
277.704
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
90236
90221.049
Generated by ERF
Employment status of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
95736
95346.603
111695
111682.426
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
57490
57455.505
2
Employer
27364
27095.365
3
Own-account, self-employed
10279
10202.624
4
Contributing (unpaid) family worker
445
436.221
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
158
156.887
Sysmiss
111695
111682.426
Generated by ERF
Employment status of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
59243
59043.356
148188
147985.672
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
13559
13687.754
2
Employer
2862
2857.417
3
Own-account, self-employed
23805
23714.661
4
Contributing (unpaid) family worker
18944
18708.504
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
73
75.02
Sysmiss
148188
147985.672
Generated by ERF
Occupation classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
95736
95346.603
111695
111682.426
Occupation classification for the main (current or last held) job of the father
10
Legislators, senior officials and managers
10918
10930.917
20
Professionals
10762
10841.292
30
Technicians and associate professionals
8756
8785.94
40
Clerks
3412
3409.622
50
Service workers and shop and market sales workers
12198
12160.271
60
Skilled agricultural and fishery workers
24987
24547.953
70
Craft and related trades workers
13355
13340.292
80
Plant and machine operators, and assemblers
8434
8438.308
90
Elementary occupations
2914
2892.008
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
111695
111682.426
Generated by ERF
Occupation classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
59243
59043.356
148188
147985.672
10
Legislators, senior officials and managers
1781
1798.096
20
Professionals
5394
5474.608
30
Technicians and associate professionals
3822
3851.427
40
Clerks
1605
1612.913
50
Service workers and shop and market sales workers
2422
2404.838
60
Skilled agricultural and fishery workers
43017
42708.733
70
Craft and related trades workers
727
716.126
80
Plant and machine operators, and assemblers
260
259.912
90
Elementary occupations
215
216.704
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
148188
147985.672
Generated by ERF
Occupation classification for the main job of the father [Unrecoded version]
All individuals
95736
111695
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
10918
2
Professionals
10762
3
Technicians and associate professionals
8756
4
Clerks
3412
5
Service workers and shop and market sales
12198
6
Skilled agricultural and fishery workers
24987
7
Craft and related trades
13355
8
Plant and machine operators and assemblers
8434
9
Elementary occupations
2914
10
Armed Forces
0
9999
Not stated
0
Sysmiss
111695
Occupation classification for the main job of the mother [Unrecoded version]
All individuals
59243
148188
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
1781
2
Professionals
5394
3
Technicians and associate professionals
3822
4
Clerks
1605
5
Service workers and shop and market sales
2422
6
Skilled agricultural and fishery workers
43017
7
Craft and related trades
727
8
Plant and machine operators and assemblers
260
9
Elementary occupations
215
10
Armed Forces
0
9999
Not stated
0
Sysmiss
148188
Industry classification for the main job of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
95736
95346.603
111695
111682.426
Industry classification of the main (current or last held) job of the father
10
Agriculture and Fishing
26223
25768.674
20
Mining
192
192.123
30
Manufacturing
11771
11833.214
40
Electricity and Utilities
1411
1410.744
50
Construction
7915
7888.423
60
Commerce
11046
11051.627
70
Transportation, Storage and Communication
9798
9773.76
80
Financial, Insurance and Real Estate
1948
1960.061
90
Public Administration and Defence
12459
12464.198
100
Other services
12973
13003.779
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
111695
111682.426
Generated by ERF
Industry classification for the main job of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
59243
59043.356
148188
147985.672
Industry classification of the main (current or last held) job of the mother
10
Agriculture and Fishing
43104
42804.035
20
Mining
15
15.603
30
Manufacturing
1414
1402.024
40
Electricity and Utilities
111
114.068
50
Construction
77
81.1
60
Commerce
2439
2424.412
70
Transportation, Storage and Communication
475
475.968
80
Financial, Insurance and Real Estate
380
382.851
90
Public Administration and Defence
2957
2989.801
100
Other services
8271
8353.493
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
148188
147985.672
Generated by ERF
Industry classification for the main job of the father [Unrecoded version]
All individuals
95736
111695
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
25385
2
Fishing
838
3
Mining and quarrying
192
4
Manufacturing
11771
5
Electricity, gas, steam and water supply
1411
6
Construction
7915
7
Wholesale and retail trade
11046
8
Hotels and restaurants
1665
9
Transportation, storage and communication
8133
10
Financial and insurance activities
834
11
Real estate activities
1114
12
Public administration and defence; compulsory social securit
12459
13
Education
8267
14
Human health and social work activities
1735
15
Social service activities
2486
16
Household domestic services
485
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
111695
Industry classification for the main job of the mother [Unrecoded version]
All individuals
59243
148188
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
43098
2
Fishing
6
3
Mining and quarrying
15
4
Manufacturing
1414
5
Electricity, gas, steam and water supply
111
6
Construction
77
7
Wholesale and retail trade
2439
8
Hotels and restaurants
140
9
Transportation, storage and communication
335
10
Financial and insurance activities
248
11
Real estate activities
132
12
Public administration and defence; compulsory social securit
2957
13
Education
6124
14
Human health and social work activities
1691
15
Social service activities
142
16
Household domestic services
314
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
148188
Sector of employment of the father [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
95736
95346.603
111695
111682.426
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the father.
1
Government
27885
27903.299
2
Public sector
6201
6219.162
3
Private sector
43259
43099.745
4
Joint/Cooperative
133
129.65
5
Foreign sector
175
183.032
6
Other
18083
17811.715
99
Not stated
0
0
Sysmiss
111695
111682.426
Generated by ERF
Sector of employment of the mother [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals
59243
59043.356
148188
147985.672
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job of the mother.
1
Government
10808
10910.458
2
Public sector
513
526.797
3
Private sector
24664
24559.91
4
Joint/Cooperative
37
36.011
5
Foreign sector
20
22.166
6
Other
23201
22988.013
99
Not stated
0
0
Sysmiss
148188
147985.672
Generated by ERF
Sector of employment of the father [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
95736
95346.603
111695
111682.426
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
27885
27903.299
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
5957
5977.907
210
Economic institutions
244
241.254
300
Private sector
43259
43099.745
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
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
133
129.65
430
Joint local sector
0
0
500
Foreign sector
175
183.032
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
52
52.045
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
18031
17759.67
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
111695
111682.426
Generated by ERF
Sector of employment of the mother [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals
59243
59043.356
148188
147985.672
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
10808
10910.458
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
481
493.749
210
Economic institutions
32
33.049
300
Private sector
24664
24559.91
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
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
37
36.011
430
Joint local sector
0
0
500
Foreign sector
20
22.166
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
35
34.881
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
23166
22953.132
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
148188
147985.672
Generated by ERF
Literacy status
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
162668
162490.033
44763
44538.996
This variable indicates whether the person is literate (can read and write) or not
0
No
46894
46457.81
1
Can read & write
115774
116032.223
Sysmiss
44763
44538.996
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Ever attended school
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
162668
162490.033
44763
44538.996
This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school
0
No
46894
46457.81
1
Yes
115774
116032.223
99
Not stated
0
0
Sysmiss
44763
44538.996
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Standardized version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
162668
162490.033
44763
44538.996
Highest level of education attained
1
None
73948
73435.347
2
Primary/Lower secondary
32814
32799.641
3
Secondary
37458
37555.407
4
Post secondary or equivalent
4352
4368.402
5
University
13691
13914.344
6
Postgraduate
405
416.892
99
Not stated
0
0
Sysmiss
44763
44538.996
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Educational level [Detailed version]
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
162668
162490.033
44763
44538.996
Highest level of education attained
100
None
0
0
110
Illiterate
46894
46457.81
120
Read only
0
0
130
Read & write
27054
26977.537
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
10391
10403.41
210
Primary
10635
10606.115
220
Preparatory
11788
11790.115
230
Lower secondary
0
0
240
Professional/Vocational below secondary education
0
0
300
Secondary
37458
37555.407
310
Academic secondary
0
0
320
Professional/Vocational secondary
0
0
400
Post secondary or equivalent
4352
4368.402
500
University
13691
13914.344
600
Postgraduate
405
416.892
610
High diploma
0
0
620
Masters
0
0
630
PhD
0
0
999
Not stated
0
0
Sysmiss
44763
44538.996
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Number of effective years of schooling
Data Dictionary & Questionnaire/Codebook
All individuals aged 10+ years
162668
162490.033
44763
44538.996
0
18
6.29
6.327
5.691
5.698
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 6+ years
178339
178086.05
29092
28942.979
Indicates whether the individual is currently attending school
0
No
122556
122377.3
1
Yes
55783
55708.75
Sysmiss
29092
28942.979
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Level of schooling presently attending
Data Dictionary & Questionnaire/Codebook
Currently enrolled individuals aged 6+ years
55783
55708.75
151648
151320.278
PENROL ideally provides information on the level of education in which the individual is enrolled.
1
Primary
26292
26174.779
2
Lower secondary
10635
10606.115
3
Higher secondary- academic
11788
11790.115
4
Higher secondary- technical/vocational
0
0
5
Post secondary- technical
0
0
6
University
7068
7137.74
7
Postgraduate
0
0
8
Other
0
0
Sysmiss
151648
151320.278
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Labor force status in the current period
Data Dictionary & Questionnaire/Codebook
All individuals aged 6+ years
178339
178086.05
29092
28942.979
Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.
1
Active
81114
81017.15
2
Inactive
97225
97068.899
99
Not stated
0
0
Sysmiss
29092
28942.979
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
178339
178086.05
29092
28942.979
1
Employed
62761
62732.967
2
Unemployed
4420
4416.229
3
Homemaker (Housewife)
32809
32723.464
4
Student
55313
55228.688
5
Pensioners/retired/disabled
12831
12879.686
6
Others
10205
10105.016
99
Not stated
0
0
Sysmiss
29092
28942.979
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
178339
178086.05
29092
28942.979
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
62761
62732.967
110
Employed during last week
0
0
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)
221
222.931
220
Unemployed never worked (looking for a job)
4199
4193.297
230
Temporary unemployed (in military services)
0
0
300
Homemaker (Housewife)
0
0
310
Homemaker
0
0
320
Housewife
19475
19448.749
330
Working housewife
13334
13274.715
400
Student
54714
54635.449
410
Working student
599
593.239
500
Pensioners/retired/disabled
0
0
510
Pensioners
12831
12879.686
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
9615
9518.689
620
Out of human force
590
586.327
630
Have income/revenue/means
0
0
640
In prison or in hospital
0
0
650
Not working and not looking for a job
0
0
660
Landlord
0
0
670
Child
0
0
999
Not stated
0
0
Sysmiss
29092
28942.979
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Status of Employment
Data Dictionary & Questionnaire/Codebook
Ever-employed active individuals aged 6+ years
76915
76823.853
130516
130205.175
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
40461
40587.292
2
Employer
11233
11165.223
3
Own-account, self-employed
13800
13766.265
4
Contributing (unpaid) family worker
11200
11082.142
5
Members of producers cooperatives
0
0
6
Workers not classifiable by status (other)
0
0
99
Not stated
221
222.931
Sysmiss
130516
130205.175
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
76915
76823.853
130516
130205.175
International Standard Occupational classification of the main (current or last held) job
10
Legislators, senior officials and managers
5126
5150.567
20
Professionals
8751
8855.362
30
Technicians and associate professionals
5982
6031.545
40
Clerks
2226
2233.066
50
Service workers and shop and market sales workers
8326
8340.801
60
Skilled agricultural and fishery workers
30027
29735.072
70
Craft and related trades workers
10350
10343.415
80
Plant and machine operators, and assemblers
4445
4458.774
90
Elementary occupations
1682
1675.252
100
Armed forces
0
0
998
Other/unspecified
0
0
999
Not stated
0
0
Sysmiss
130516
130205.175
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Occupation classification for the main job [Unrecoded version]
Ever-employed active individuals aged 6+ years
76915
130516
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
5126
2
Professionals
8751
3
Technicians and associate professionals
5982
4
Clerks
2226
5
Service workers and shop and market sales
8326
6
Skilled agricultural and fishery workers
30027
7
Craft and related trades
10350
8
Plant and machine operators and assemblers
4445
9
Elementary occupations
1682
10
Armed Forces
0
9999
Not stated
0
Sysmiss
130516
Industry classification for the main job [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed active individuals aged 6+ years
76915
76823.853
130516
130205.175
Industry classification of the main (current or last held) job
10
Agriculture and Fishing
30542
30252.231
20
Mining
142
142.763
30
Manufacturing
8130
8180.083
40
Electricity and Utilities
647
649.936
50
Construction
5479
5466.138
60
Commerce
8362
8393.795
70
Transportation, Storage and Communication
5852
5848.29
80
Financial, Insurance and Real Estate
1534
1552.713
90
Public Administration and Defence
6326
6369.144
100
Other services
9901
9968.759
998
Unspecified
0
0
999
Not stated
0
0
Sysmiss
130516
130205.175
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
Industry classification for the main job [Unrecoded version]
Ever-employed active individuals aged 6+ years
76915
130516
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
30061
2
Fishing
481
3
Mining and quarrying
142
4
Manufacturing
8130
5
Electricity, gas, steam and water supply
647
6
Construction
5479
7
Wholesale and retail trade
8362
8
Hotels and restaurants
1426
9
Transportation, storage and communication
4426
10
Financial and insurance activities
506
11
Real estate activities
1028
12
Public administration and defence; compulsory social securit
6326
13
Education
6289
14
Human health and social work activities
1846
15
Social service activities
1386
16
Household domestic services
380
17
Activities of extraterritorial organizations and bodies
0
9999
Not stated
0
Sysmiss
130516
Sector of employment [Standardized version]
Data Dictionary & Questionnaire/Codebook
Ever-employed active individuals aged 6+ years
76915
76823.853
130516
130205.175
Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.
1
Government
16330
16422.296
2
Public sector
2800
2820.748
3
Private sector
38363
38362.545
4
Joint/Cooperative
64
63.705
5
Foreign sector
120
126.498
6
Other
19238
19028.062
99
Not stated
0
0
Sysmiss
130516
130205.175
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
76915
76823.853
130516
130205.175
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
16330
16422.296
110
Government- National
0
0
120
Government- Foreign
0
0
130
Government- Federal
0
0
140
Government- Local
0
0
200
Public sector
2655
2676.954
210
Economic institutions
145
143.794
300
Private sector
38363
38362.545
310
Private investment
0
0
320
Private- National
0
0
330
Private- National inside establishment
0
0
340
Private- National outside establishment
0
0
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
64
63.705
430
Joint local sector
0
0
500
Foreign sector
120
126.498
510
Diplomatic bodies
0
0
600
Other
0
0
610
Non governmental organizations
47
46.914
620
Non-profit associations
0
0
630
Charitable association
0
0
640
Outside establishment
19191
18981.148
650
Outside the country
0
0
660
UNRWA
0
0
999
Not stated
0
0
Sysmiss
130516
130205.175
Original survey variable recoded/renamed (Ref: Data dictionary.pdf)