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)