JOR_HEIS_2010_HD_V1.0 DDI_JOR_2010_HEIS_v01_M_v01_A_ERF Economic Research Forum Development Economics Data Group 2012-11 Nesstar Publisher Household Expenditure and Income Survey 2010, Economic Research Forum (ERF) Harmonization Data HEIS 2010 JOR_2010_HEIS_v01_M_v01_A_ERF The Hashemite Kingdom of Jordan Department of Statistics (DOS) Economic Research Forum Nesstar Publisher Economic Research Forum (ERF) Income/Expenditure/Household Survey [hh/ies] The Department of Statistics in Jordan conducted Expenditure and Income Surveys in 1966, 1980, 1986-1987, 1992, 1997, 2002-2003, 2006-2007, 2008-2009 and 2010-2011. Poverty Expenditure Income Infrastructure Education Labor Health Jordan National Sample survey data [ssd] The Hashemite Kingdom of Jordan Department of Statistics (DOS) Face-to-face [f2f] To access the micro-data, researchers are required to register on the ERF website and comply with the data access agreement. The data will be used only for scholarly, research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures. Economic Research Forum The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. Jor_2010_HH.NSDstat 0 187 Nesstar 200801 Jor_2010_Person.NSDstat 0 47 Nesstar 200801 Unique country identifier Data Dictionary & Questionnaire/Codebook All households 0 0 String variable representing the country name Generated by ERF Survey Year Data Dictionary & Questionnaire/Codebook All households 0 0 Year during which the survey was performed Generated by ERF Unique unit identifier Data Dictionary & Questionnaire/Codebook All households 0 0 Sequential anonymous household identifier usually provided in the dataset Generated by ERF Household weight Data Dictionary & Questionnaire/Codebook All households 0 0 Data provider household weight Original survey variable renamed (Ref: Data dictionary.pdf) Region Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Region of residence 11 Amman 12 Al-Balqa 13 Az Zarqa 14 Madaba 21 Irbid 22 Al-Mafraq 23 Jerash 24 Ajloun 31 Al-Karak 32 Al-Tafilah 33 Maan 34 Al-Aqaba Original survey variable renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicate whether the region is urban/rural 0 Rural 1 Urban Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Number of persons Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 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 0 0 0 0 Total number of Males in the household (including children) Generated by ERF Number of Females Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Total number of females in the household (including children) Generated by ERF Number of persons under age 14 Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Number of persons under age 14 living in the household Generated by ERF Number of persons aged 65 or more Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Number of household members aged 65 or more including head and spouse. Generated by ERF Household composition Data Dictionary & Questionnaire/Codebook All households 0 0 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 2 1-2 adults, 1-2 children 3 1-2 adult, 3 or more children 4 3 adults or more, 0-1 child 5 3 adults or more, 2-3 children 6 3 adults or more, 4 children or more Generated by ERF Head living in couple Data Dictionary & Questionnaire/Codebook All households 0 0 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 1 Married couple head and spouse 2 Several cohabiting spouses Generated by ERF Number of earners Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Number of household members who receives any earnings. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Source of income Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Main income source of the household 1 Household business 2 Salaries and wages 3 Remittances from country or abroad 4 Pensions 5 Other Generated by ERF Type of dwelling Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Type of the dwelling 1 House 2 Villa 3 Apartment 4 Others Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Tenure of dwelling Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Type of tenure 1 Rented 2 Owned 3 Provided free 4 Others Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Number of rooms Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Number of rooms excluding bathroom and kitchen Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Source of energy for cooking Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Distinguish between different sources of energy for cooking 1 Electricity 2 Gas 3 Kerosene 4 Wood & coal 5 Others Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Water facilities Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates from where the household get its drinking water 1 Piped supply 2 Public tap 3 Well 4 Tanker 5 Other Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Transportation facilities Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates the proximity to public transportation 1 Less than 1 km 2 1-5 km 3 More than 5 Km Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Schooling facilities Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates the proximity to schools/universities 1 Less than 1 km 2 1-5 km 3 More than 5 Km Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Health facilities Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates the proximity to health centers and hospitals 1 Less than 1 km 2 1-5 km 3 More than 5 Km Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Toilet facility Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicate whether the household has access to toilet facility 1 Yes and connected to sewage 2 Yes and not connected to sewage 3 No facility Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has car/truck/tractor Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to car, scooter, taxi, boat, tractor etc.. 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has television/radio Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to television, video, radio, dish, receiver, CD player etc. 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has telephone Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to telephone, cell phone, fax machine, internet line, computer etc. 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has refrigerator/ Freezer Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to refrigerator, freezer, water cooler. 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has Cooker/ food processor Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has washing machine Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has air conditioner Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to an air conditioner, electric fan, etc. 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has water heater Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to a solar, gas, electric, etc. water heater 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has other durables Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Indicates if the household owns or has free access to a sewing machine, iron, vacuum, and any other household appliance 0 None 1 Own one or many Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age - head Data Dictionary & Questionnaire/Codebook All heads 0 0 0 0 Age of the head in years Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender - head Data Dictionary & Questionnaire/Codebook All heads 0 0 0 0 Gender of the head 1 Male 2 Female Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status - head Data Dictionary & Questionnaire/Codebook All heads aged 15+ years 0 0 0 0 Legal administrative status concerning marriage of the head 1 Never married 2 Married monogamous 3 Married polygamous 4 Divorced/Separated 5 Widowed Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Partnership and parenthood status - head Data Dictionary & Questionnaire/Codebook All heads 0 0 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 2 Head with partner, with children, Youngest child<18 3 Head with partner, with children, Youngest child 18+ 4 Single Head, with no children 5 Single Head, with children, Youngest child<18 6 Single Head, with children, Youngest child 18+ Generated by ERF Ethnicity/ nationality - head Data Dictionary & Questionnaire/Codebook All heads 0 0 0 0 Ethnicity or nationality of the head 0 Non-Citizen 1 Citizen Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status - head Data Dictionary & Questionnaire/Codebook All heads aged 4+ years 0 0 0 0 This variable indicates whether the head is literate (can read and write) or not 0 No 1 Can read & write Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level - head Data Dictionary & Questionnaire/Codebook All heads aged 4+ years 0 0 0 0 Highest level of education attained by the head 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status - head Data Dictionary & Questionnaire/Codebook All heads aged 15+ years 0 0 0 0 Main activity status of the head during the survey period 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of Employment - head Data Dictionary & Questionnaire/Codebook Active heads aged 15+ years 0 0 0 0 Detailed description of the employment status of the head 1 Employee 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Classification of Occupations for main job - head Data Dictionary & Questionnaire/Codebook Active heads aged 15+ years 0 0 0 0 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators and assemblers 9 Elementary occupations 10 Armed forces 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment - head Data Dictionary & Questionnaire/Codebook Active heads aged 15+ years 0 0 0 0 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Data Dictionary & Questionnaire/Codebook Active heads aged 15+ years 0 0 0 0 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age - first spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Age in years of the first spouse Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age - second spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Age in years of the second spouse Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender - first spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Gender of the first spouse 1 Male 2 Female Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender - second spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Gender of the second spouse 1 Male 2 Female Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Ethnicity/ nationality - first spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Ethnicity or nationality of the first spouse 0 Non-Citizen 1 Citizen Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Ethnicity/ nationality - second spouse Data Dictionary & Questionnaire/Codebook All spouses 0 0 0 0 Ethnicity or nationality of the second spouse 0 Non-Citizen 1 Citizen Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status - first spouse Data Dictionary & Questionnaire/Codebook All spouses aged 4+ years 0 0 0 0 This variable indicates whether the first spouse is literate (can read and write) or not 0 No 1 Can read & write Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status - second spouse Data Dictionary & Questionnaire/Codebook All spouses aged 4+ years 0 0 0 0 This variable indicates whether the second spouse is literate (can read and write) or not 0 No 1 Can read & write Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level - first spouse Data Dictionary & Questionnaire/Codebook All spouses aged 4+ years 0 0 0 0 Highest level of education attained by the first spouse 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level - second spouse Data Dictionary & Questionnaire/Codebook All spouses aged 4+ years 0 0 0 0 Highest level of education attained by the second spouse 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status - first spouse Data Dictionary & Questionnaire/Codebook All spouses aged 15+ years 0 0 0 0 Main activity status of the first spouse during the survey period 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status - second spouse Data Dictionary & Questionnaire/Codebook All spouses aged 15+ years 0 0 0 0 Main activity status of the second spouse during the survey period 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of Employment - first spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Detailed description of the employment status of the first spouse 1 Employee 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of Employment - second spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Detailed description of the employment status of the second spouse 1 Employee 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment - first spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Sector of employment of the first spouse 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment - second spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Sector of employment of the second spouse 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Classification of Occupations for main job - first spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators, and assemblers 9 Elementary occupations 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Classification of Occupations for main job - second spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators, and assemblers 9 Elementary occupations 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) International Standard Industrial Classification of main job - first spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Industry classification of the main (current or last held) job of the first spouse, with as much detail as possible 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) International Standard Industrial Classification of main job - second spouse Data Dictionary & Questionnaire/Codebook Active spouses aged 15+ years 0 0 0 0 Industry classification of the main (current or last held) job of the second spouse, with as much detail as possible 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Food and non-alcoholic beverages All households 0 0 0 0 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) Purchased Bread and Cereals All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Rice expenditures All households 0 0 0 0 Expenditures on rice in all forms Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Grains and flour expenditures All households 0 0 0 0 Wheat, Maize, Barely and all cereals in the grain or flour form Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Bread and cakes All households 0 0 0 0 Bread in all forms, biscuits, cakes pizza.. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Pasta expenditures All households 0 0 0 0 Macaroni, Noodles, Couscous .. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Cereal preparation All households 0 0 0 0 Cornflakes, malt, tapioca.. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Bread and Cereals All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Purchased Meat and Poultry All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Sheep and goats Meat expenditures All households 0 0 0 0 Fresh frozen and tinned goats and sheep meat Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Cow meat expenditures All households 0 0 0 0 Fresh frozen and tinned cow meat Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Other meat expenditures All households 0 0 0 0 Fresh frozen and tinned camel, rabbit, pork etc. meat Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Chicken meat expenditure All households 0 0 0 0 Fresh frozen and tinned chicken, turkey, birds etc. meat Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Luncheon and Tinned meat All households 0 0 0 0 Fresh and frozen luncheon, tinned and others meat Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Meat and Poultry All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Purchased Fish and Seafood All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Fish expenditures All households 0 0 0 0 Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Seafood expenditures All households 0 0 0 0 Fresh, frozen and proceed seafood Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Fish and Seafood All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Purchased Dairy Products All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Milk expenditures All households 0 0 0 0 Fresh, powder, condensed and infant powder milk expenses Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Yogurt expenditures All households 0 0 0 0 Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Cheese expenditures All households 0 0 0 0 Processed, home made, tinned etc. cheese Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Eggs expenditures All households 0 0 0 0 Eggs and wholly made egg products Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Dairy Products All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Purchased Oil & Fats All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Olive oil expend. All households 0 0 0 0 Olive oil Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Other oils expend. All households 0 0 0 0 Corn, sunflower, soya etc Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Butter and margarine All households 0 0 0 0 Butter, margarine, ghee, ... Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Fat expenses All households 0 0 0 0 Animal and vegetable fats and other edible Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Oil & Fats All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Fruits expenses All households 0 0 0 0 Fresh, chilled, frozen, and tinned fruits, nuts Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Fruits All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Vegetables expenses All households 0 0 0 0 Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips.. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Vegetables All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Sugar and jam expenditure All households 0 0 0 0 Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Sugar and Jam All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Spices expenditures All households 0 0 0 0 Salt, black pepper, sauces, seasonings, vanilla etc. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Spices All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Beverages expenditure All households 0 0 0 0 Coffee, tea, water fruit end vegetable juices Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Own-Produced Beverages All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Other non-specified food expenses All households 0 0 0 0 Includes all other purchased food items non-specified in the questionnaire Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Other non-specified own-produced food All households 0 0 0 0 Includes all other own produced food items non-specified in the questionnaire Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Total purchased food All households 0 0 0 0 Total amounts of food and beverage purchased from the market Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Total Own produced food All households 0 0 0 0 Food and beverage own produced products, consumed or given away Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Total Gifts and in-kind food All households 0 0 0 0 Food and beverage products received from other households Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Alcohol and tobacco All households 0 0 0 0 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 0 0 Expenses on alcoholic beverages, spirits, wine, beer.. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Tobacco expenditures All households 0 0 0 0 Expenses on tobacco, cigarettes, etc. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Clothing and footwear All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Clothing material of all kind of fibers, tailoring and accessories Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Tailoring charges All households 0 0 0 0 All tailoring, cleaning, repairing charges of clothes Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Footwear expenditures All households 0 0 0 0 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 All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Housing and utilities All households 0 0 0 0 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 All households 0 0 0 0 Actual rentals paid by tenants and other actual rentals Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Imputed rentals for housing All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Water supply, refuse collection, sewage collection and others Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Electricity, gas and other fuels All households 0 0 0 0 Electricity, Gas, Liquid and solid fuels, Heat energy Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Furniture & Housing equipment All households 0 0 0 0 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 All households 0 0 0 0 Furniture and furnishings, carpets and other floor coverings Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Housing furnishings and furniture repair All households 0 0 0 0 Furniture and furnishings repair Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Household textiles All households 0 0 0 0 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 All households 0 0 0 0 Major household appliances whether electric or not Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Small Household appliances All households 0 0 0 0 Small electric appliances Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Repair of appliances All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Glassware, tableware and household utensils All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Small tools and miscellaneous accessories Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Goods and services for routine household maintenance All households 0 0 0 0 Non-durable household goods and domestic services Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Health All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Expenses on medical services Abroad All households 0 0 0 0 Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Transport All households 0 0 0 0 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 All households 0 0 0 0 Purchase of car, bicycles and animal trucked vehicles Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Operation of personal transport equipment All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Communication All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Purchases of telephones, telefax machines, etc. and their repair Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Recreation and culture All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 School books and stationery, etc. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Education All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Expenses on pre-primary and primary education All households 0 0 0 0 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 lower and upper-secondary education All households 0 0 0 0 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 tertiary education All households 0 0 0 0 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 0 0 0 0 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 0 0 Includes all expenses on trips for education purposes other than those spent on transportation or accommodation Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Restaurants and hotels All households 0 0 0 0 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 All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) School restaurants expenditures All households 0 0 0 0 Meals, snacks, and drinks provided in school restaurants Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Accommodation and hotel expenses All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Miscellaneous goods and services All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 Covers assistance and support services provided to persons who are elderly, disabled, unemployed, homeless, low-income earners, immigrants, refugees, etc. It also covers assistance and support services provided to families and children. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Insurance and financial services All households 0 0 0 0 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 All households 0 0 0 0 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 All households 0 0 0 0 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 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Total expenses on durables All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Actual and imputed rentals for housing All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Total expenditures All households 0 0 0 0 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) Total expenditures on non-food and non-durables All households 0 0 0 0 Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Lumpy expenses All households 0 0 0 0 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 0 0 Interest paid on loans for the purchase of consumption or durable goods Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Expenditures on taxes and levies All households 0 0 0 0 Taxes on consumption and durable goods, property taxes etc. Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf) Gross wages and salaries Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), gross of employee social insurance contributions/taxes but net of employer social insurance contributions/taxes. Aggregate computed by ERF (Ref: Data dictionary.pdf) Net wages and salaries Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 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) In-kind earnings Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 In-kind income as a substitute or complement for cash wages. Includes, for example, the value of company cars, meals, housing, electricity, medical expenses, child care etc. paid or partly paid by the employer. Aggregate computed by ERF (Ref: Data dictionary.pdf) Self-employment income Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 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 0 0 0 0 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 0 0 0 0 Aggregate computed by ERF (Ref: Data dictionary.pdf) Current transfers received Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Aggregate computed by ERF (Ref: Data dictionary.pdf) Total disposable income Data Dictionary & Questionnaire/Codebook All households 0 0 0 0 Aggregate computed by ERF (Ref: Data dictionary.pdf) Unique country identifier Data Dictionary & Questionnaire/Codebook All individuals 0 0 String variable representing the country name Generated by ERF Survey Year Data Dictionary & Questionnaire/Codebook All individuals 0 0 Year during which the survey was performed Generated by ERF Unique unit identifier Data Dictionary & Questionnaire/Codebook All individuals 0 0 Sequential anonymous household identifier usually provided in the dataset Generated by ERF Household weight Data Dictionary & Questionnaire/Codebook All individuals 0 0 Data provider household weight Original survey variable renamed (Ref: Data dictionary.pdf) Region Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Region of residence 11 Amman 12 Al-Balqa 13 Az Zarqa 14 Madaba 21 Irbid 22 Al-Mafraq 23 Jerash 24 Ajloun 31 Al-Karak 32 Al-Tafilah 33 Maan 34 Al-Aqaba Original survey variable renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicate whether the region is urban/rural 0 Rural 1 Urban Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Person identifier Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Person identification number (usually the person line number in the household) Original survey variable renamed (Ref: Data dictionary.pdf) Age Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Age in years. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicator for gender of individual. 1 Male 2 Female Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status Data Dictionary & Questionnaire/Codebook All individuals aged 15+ years 0 0 0 0 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 2 Married monogamous 3 Married polygamous 4 Divorced/Separated 5 Widowed Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Relationship to head Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Head of household 2 Spouse 3 Son/daughter 4 Father/Mother (parents) 5 Brother/sister 6 Grandchildren 7 Other relatives 8 Other non-relatives Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Father present at home Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicates whether the father is present at home, not a household member or dead. 1 Yes 2 Father is not a household member 3 Father is dead Generated by ERF =1. The same technique was applied to the daughter in law, a married female recoded as other relative in the relationship to head variable where the number of married male sons >=1 is considered a daughter in law. • In case the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members order in the household.]]> ID of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicates the PNUM (the line number in the HH) of the father Generated by ERF Mother present at home Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicates whether the mother is present at home, not a household member or dead. 1 Yes 2 Mother is not a household member 3 Mother is dead Generated by ERF =1. The same technique was applied to the daughter in law, a married female recoded as other relative in the relationship to head variable where the number of married male sons >=1 is considered a daughter in law. • In case the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members order in the household.]]> ID of the Mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicates the PNUM (the line number in the HH) of the mother Generated by ERF Age of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Generated by ERF Age of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Generated by ERF Marital status of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Never married 2 Married monogamous 3 Married polygamous 4 Divorced/Separated 5 Widowed Generated by ERF Marital status of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Never married 2 Married monogamous 3 Married polygamous 4 Divorced/Separated 5 Widowed Generated by ERF Educational level of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Generated by ERF Educational level of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Generated by ERF Main activity of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Generated by ERF Main activity of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Generated by ERF Employment status of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Employee 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Generated by ERF Employment status of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Employee 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Generated by ERF Sector of employment of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Generated by ERF Sector of employment of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Generated by ERF Occupation of the main job of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators, and assemblers 9 Elementary occupations 99 Not stated Generated by ERF Occupation of the main job of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators, and assemblers 9 Elementary occupations 99 Not stated Generated by ERF Industry of the main job of the father Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Generated by ERF Industry of the main job of the mother Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Generated by ERF Ethnicity/ nationality Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Ethnicity or nationality 0 Non-Citizen 1 Citizen Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status Data Dictionary & Questionnaire/Codebook All individuals aged 4+ years 0 0 0 0 This variable indicates whether the person is literate (can read and write) or not 0 No 1 Can read & write Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Ever attended school Data Dictionary & Questionnaire/Codebook All individuals aged 4+ years 0 0 0 0 This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school 0 No 1 Yes 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level Data Dictionary & Questionnaire/Codebook All individuals aged 4+ years 0 0 0 0 Highest level of education attained. 1 None 2 Primary 3 Lower secondary 4 Secondary 5 Post secondary or equivalent 6 University 7 Postgraduate 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Number of effective years of schooling Data Dictionary & Questionnaire/Codebook All individuals aged 4+ years 0 0 0 0 This is a continuous variable of the number of years of formal schooling completed. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) School attendance status Data Dictionary & Questionnaire/Codebook All individuals aged 4+ years 0 0 0 0 Indicates whether the individual is currently attending school 0 No 1 Yes Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Level of schooling presently attending Data Dictionary & Questionnaire/Codebook Currently enrolled individuals aged 4+ years 0 0 0 0 PENROL ideally provides information on the level of education in which the individual is enrolled. 1 Primary 2 Lower secondary 3 Higher secondary-academic 4 Higher secondary-technical/vocational 5 Post secondary technical 6 University 7 Postgraduate 8 Other Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Type of school attending Data Dictionary & Questionnaire/Codebook Currently enrolled individuals aged 4+ years 0 0 0 0 Provides information on the type of school the person is currently attending 1 Public 2 Private 3 Coranic 4 Adult literacy 5 Other Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Disability status Data Dictionary & Questionnaire/Codebook All individuals 0 0 0 0 Indicates whether the individual have any type of disability or not 0 No 1 Yes Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Type of disability Data Dictionary & Questionnaire/Codebook Individuals reported disabled 0 0 0 0 This variable specifies, if available, the type of disability. 1 Blindness 2 Deafness 3 Muteness 4 Speech disability 5 Walking disability 6 Physical (movement) disability 7 Limp disability 8 Mental retardation 9 Multiple disability 10 Other Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Labour force status in the current period Data Dictionary & Questionnaire/Codebook All individuals aged 15+ years 0 0 0 0 Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force. 1 Active 2 Inactive 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status in the current period Data Dictionary & Questionnaire/Codebook All individuals aged 15+ years 0 0 0 0 1 Employed 2 Unemployed 3 Homemaker (Housewife) 4 Student 5 Pensioners/retired/disabled 6 Others 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of Employment Data Dictionary & Questionnaire/Codebook Active individuals aged 15+ years 0 0 0 0 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 2 Employer 3 Own-account, self-employed 4 Contributing (unpaid) family worker 5 Members of producers cooperatives 6 Workers not classifiable by status (other) 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Classification of Occupations for main job Data Dictionary & Questionnaire/Codebook Active individuals aged 15+ years 0 0 0 0 International Standard Occupational classification of the main (current or last held) job, with as much detail as possible (ideally 4-digit ISCO-88/08 if available in original survey). 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales workers 6 Skilled agricultural and fishery workers 7 Craft and related trades workers 8 Plant and machine operators and assemblers 9 Elementary occupations 10 Armed forces 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) International Standard Industrial Classification of main job Data Dictionary & Questionnaire/Codebook Active individuals aged 15+ years 0 0 0 0 Industry classification of the main (current or last held) job, with as much detail as possible. 1 Agriculture and Fishing 2 Mining 3 Manufacturing 4 Electricity and Utilities 5 Construction 6 Commerce 7 Transportation, Storage and Communication 8 Financial, Insurance and Real Estate 9 Public Administration 10 Other services 11 Unspecified 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment Data Dictionary & Questionnaire/Codebook Active individuals aged 15+ years 0 0 0 0 Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job. 1 Government 2 Public sector 3 Private sector 4 Joint/Cooperative 5 Foreign sector 6 Other 99 Not stated Original survey variable recoded/renamed (Ref: Data dictionary.pdf)