DDI_BLR_2002_HHS_v01_M Julia Dukhno Development Data Group 2011-01-25 NADA Version 02 Compared to v01, v02 (October 2012) includes: 1) changes in Study Information; 2) changes in external resources. Household Sample Survey 2002 HHS 2002 BLR_2002_HHS_v01_M Ministry of Statistics and Analysis of the Republic of Belarus World Bank NADA Ministry of Statistics and Analysis of the Republic of Belarus The National Statistical Committee of the Republic of Belarus (MoSA) Income/Expenditure/Household Survey [hh/ies] v01: Edited data, for internal use only. Starting from 1995, the National Statistical Committee of the Republic of Belarus (formerly the Ministry of Statistics and Analysis) has been conducting a sample survey of 6,000 households on a yearly basis, according to the methodology complying with international standards. The survey is carried out in all regions of the country and Minsk City, covering 49 cities, towns and urban-type settlements, and 53 rural councils. Data from the latest population census is used to construct the sample. For the survey, researchers collect information on demographic characteristics of household members, housing conditions, personal subsidiary plots, property, household expenditure and income. The information obtained from the survey is used to analyze the influence of new social processes on living standards and to develop policies aimed at social protection of various population groups. Data is also used to compile household accounts in the system of National Accounts, to calculate consumer price index for goods and services, and to estimate the poverty level in the country. Belarus National coverage Cities and settlements A household is understood as the unit of the survey. For survey purposes the category "households" includes: 1) families consisting of a husband and a wife with or without children or single parent families; 2) relatives living together and having a common budget (brother and sister, grandmother and grandson and etc.); 3) persons living together and having a common budget but who are not relatives, for example two friends; 4) persons living alone; 5) families consisting of two and more married couples with or without children. The survey covers all household members excluding persons fully supported by the state, for example people staying in homes for the elderly and the disabled, children in public care institutions, prisoners, etc. The survey also excludes foreigners living and working in Belarus on contract basis and families of military men living in military residential settlements or other restricted areas. Sample survey data [ssd] The scope of the study includes: - household members' demographic characteristics; - dwelling (housing); - expenditures; - income and savings; - health; - subsidiary (land) plots. Ministry of Statistics and Analysis of the Republic of Belarus Sampled households are surveyed for a year and then are subject to replacement (rotation). To conduct the survey, households' residential addresses are sampled. Sampled population forming 0.2% of universe general population is annually arranged by the statistical office. A household is understood as the unit of the survey. This is a person or a group of persons (mainly relatives) living together and having a common budget. Close relationship is not an obligatory condition. Sampling was based on the territorial principle of forming a selection. In accordance with this principle, sampling involved three stages. Different territorial units of selection were used at every stage: the larger units were used at the initial stage while at the third stage the surveyed unit was equal to the selection unit. To ensure equal distribution of sample over the territory of the country, the selection was made separately for urban and rural population. At the first stage, administrative and territorial units such as cities (including urban settlements) and rural councils were taken as the units of selection. Nineteen cities with the population above 72,000 people and 58 village councils were selected. At the second stage, constituencies were taken as the selection units in urban areas and residential settlements were taken as the selection units in rural areas. The list of constituencies is drafted at the regional level based on the district (city) executive committees' data on the number of eligible voters. The list of voters excluded persons living in students' and workers' hostels. At the second stage maps of all selected cities and village councils were widely used when building a sample. At the third stage, a household was taken as the unit of selection. Within the area of the selected constituencies in urban areas and residential settlements in rural areas, the lists of residential apartments and individual houses were drafted based on the data of apartment register in towns and village councils' registers in rural areas. The lists were drafted in line with the numbering of buildings within the area of the selected constituencies in urban areas and in residential settlements in rural areas. Detailed information about the sampling is available in "Belarus Household Sample Survey Methodology" in Technical Documents (p.9-17). Face-to-face [f2f] The main components of the survey are: 1) The main interview which is intended to establish the first contact with the household, to make the list of all household members, to collect the basic information about the household in general and its individual members and to fix the date for subsequent interviews. Before an interview a household receives the initial letter signed by the Minister of Statistics and Analysis stating the date and time of the interviewer's visit. The main interview is conducted in December of the previous year; 2) Four quarterly interviews, conducted in April, July, October of the current year and January of the next year. Quarterly interview covers three previous months and summarizes the information about incomes and major expenditures of the households. At the beginning of every quarter a household is given a diary for recording expenditures during the quarter. The diary is used during quarterly interviews; 3) Four two-week diaries which are handed to a household every quarter. The diary is intended for daily recording of expenditures on foodstuffs and non-food products within 14 days as well as for recording of the consumed foodstuffs which were produced at the individual subsidiary land plot or received as a present. Prior to visiting the household, a specialist conducting the survey sends each sampled household a copy of a letter with a request to participate in the survey. The letter contains a brief description of household sample survey procedures and a date of the first visit. During the survey, the initial load per an interviewer is about 40 households, which the interviewer visits 17 times during a year. Detailed information about interviewers' training and organization of their work is available in "Belarus Household Sample Survey Methodology" in Technical Documents (p.18-22). The following coding systems were developed and introduced for Belarus household sample survey: 1) coding of households covered by the survey; 2) coding of household expenditures; 3) coding of additional incomes and employment of household members by sectors and types of activity. Detailed information about coding procedures is available in "Belarus Household Sample Survey Methodology" (p.22-25) in Technical Documents. The use of the datasets must be acknowledged using a citation which would include: - the identification of the Primary Investigator (including country name) - the full title of the survey and its acronym (when available), and the year(s) of implementation - the survey reference number - the source and date of download (for datasets disseminated online). Example: Ministry of Statistics and Analysis of the Republic of Belarus. Belarus Household Sample Survey (HHS) 2002, Ref. BLR_2002_HHS_v01_M. Dataset downloaded from [URL] on [date]. 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. HHYEAR02 The file contains household income and expenditure data. 5335 125 PPYEAR02 The file contains derived data on household consumption, annualized and aggregated by category of products and services. The file also contains a regional price deflator variable and the household weighting coefficient. The file was generated using a Stata program. 15016 60 Unique household code Unique household code Unique household code Unique household code Unique household code All households 5335 10101 71840 40359.036 19716.445 This identifier is common to all files for the same year. It may be used in matching files at household level and assigning household characteristics at personal level Year Year Year Year Year All households 5335 2002 Only one value applies to each file Household weight Household weight Household weight Household weight Household weight All households 5335 320960.022 72230.462 29608.383 Number of households represented multiplied by 100 (2 implied decimals) It incorporates the base weight (inversely proportional to the probability of being sampled) and correction factors for unit non-response to the baseline interview (vacancies and refusals) and subsequent quarterly interviews (refusals) Residence Residence Residence Residence Residence All households 4882 453 1 4 1 Minsk city 2 Large city 3 Small city 4 Rural Sysmiss Large cities - population more than 100,000. Small cities - less than 100,000. Minsk city being very important is separated from other large cities which are Brest, Baranovichi, Pinsk, Vitebsk, Orsha, Gomel, Mozyr, Grodno, Soligorsk, Borisov, Mogilev, Bobruisk. Large cities - population more than 100,000. Small cities - less than 100,000. Minsk city being very important is separated from other large cities which are Brest, Baranovichi, Pinsk, Vitebsk, Orsha, Gomel, Mozyr, Grodno, Soligorsk, Borisov, Mogilev, Bobruisk Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) All households 5335 1 Brest oblast 2 Vitebsk oblast 3 Gomel oblast 4 Grodno oblast 5 Minsk city 6 Minsk oblast 7 Mogilev oblast Geographical location (oblast) Household composition Household composition Household composition Household composition Household composition All households 4882 453 lone person 1 Single parent household 2 2 and more adults with children 3 All adults older working age except lone person and no children 4 Any adult younger working age except lone person and no children Sysmiss Age is taken as of December 2002. Children are younger than 18 Number of persons in household Number of persons in household Number of persons in household Number of persons in household Number of persons in household All households 4882 453 1 2 3 4 5 6 7 8 9 Sysmiss Number of persons in household as of the end of the quarter IV Number of children aged 0 to 5 Number of children aged 0 to 5 Number of children aged 0 to 5 Number of children aged 0 to 5 Number of children aged 0 to 5 All households 4882 453 1 2 3 4 Sysmiss Age is taken as of December 2002 Number of children aged 6 to 12 Number of children aged 6 to 12 Number of children aged 6 to 12 Number of children aged 6 to 12 Number of children aged 6 to 12 All households 4882 453 1 2 3 4 Sysmiss Age is taken as of December 2002 Number of children aged 13 to 17 Number of children aged 13 to 17 Number of children aged 13 to 17 Number of children aged 13 to 17 Number of children aged 13 to 17 All households 4882 453 1 2 3 4 Sysmiss Age is taken as of December 2002 Number of persons 60 and older Number of persons 60 and older Number of persons 60 and older Number of persons 60 and older Number of persons 60 and older All households 4882 453 1 2 3 4 Sysmiss Age is taken as of December 2002 Number of earners in household Number of earners in household Number of earners in household Number of earners in household Number of earners in household All households 4882 453 None 1 1 earner 2 2 earners 3 3 earners and more Sysmiss Earners - employees of state enterprises, budgetary organizations, state farms, collective farms, joint stock companies, private companies etc. as well as self-employed non-pensioners Age of head Age of head Age of head Age of head Age of head All households 4882 453 19 96 51.697 15.281 as of December 2002 Sex of head Sex of head Sex of head Sex of head Sex of head All households 4882 453 1 Male 2 Female Not in Universe Sysmiss Sex of head Socioeconomic status of head Socioeconomic status of head Socioeconomic status of head Socioeconomic status of head Socioeconomic status of head All households 4880 455 1 Employed at organisation 2 Employed by natural persons 3 organization/firm owner or co-owner/employer 4 Member of producer co-operative 5 self-employed 6 own-account worker 7 contributing family worker 8 Other worker 9 Pensioner 10 Student 11 The unemployed 12 Housewife 13 Other non worker 99 Doesn't know, refuses to answer Not in Universe Sysmiss Socioeconomic status of head Wages Wages Wages Wages Wages All households 4882 453 1412750 164176.102 163512.889 Payment for work (cash+in-kind) from the main and additional jobs including subsidies, benefits and dividends after deducting payroll and other taxes Self-employment income Self-employment income Self-employment income Self-employment income Self-employment income All households 4882 453 1345250 9899.823 51952.051 Income from entrepreneurial activities Income from sale of agricultural products Income from sale of agricultural products Income from sale of agricultural products Income from sale of agricultural products Income from sale of agricultural products All households 4882 453 557514.167 6847.599 21957.11 Income from sale of agricultural products Dividends and rental income Dividends and rental income Dividends and rental income Dividends and rental income Dividends and rental income All households 4882 453 148356.833 506.381 5588.971 Dividends from stocks and other securities, income from renting housing, garage, land plots, etc. Pensions Pensions Pensions Pensions Pensions All households 4882 453 436138.75 58102.424 70987.703 Retirement, disability, survivor's, military, social and other types of pensions Chernobyl benefits Chernobyl benefits Chernobyl benefits Chernobyl benefits Chernobyl benefits All households 4882 453 20833.334 158.74 766.159 State benefits paid to those who suffered from the accident at the Chernobyl power plant in 1986 Child allowances Child allowances Child allowances Child allowances Child allowances All households 4882 453 173809.167 4598.403 14583.857 Postnatal allowance and benefits for care of children under 16 (18) Other state subsidies and benefits Other state subsidies and benefits Other state subsidies and benefits Other state subsidies and benefits Other state subsidies and benefits All households 4882 453 208333.333 1531.935 8010.364 Maternity benefits, benefits for women registered within 12-week pregnancy period, benefits for those who look after the disabled/elderly, burial, benefits for families of servicemen killed during fulfillment of military duty and other local authority benefits Household student grants Household student grants Household student grants Household student grants Household student grants All households 4882 453 72083.336 828.13 4673.407 Household student grants Unemployment benefits Unemployment benefits Unemployment benefits Unemployment benefits Unemployment benefits All households 4882 453 130333.333 186.188 2440.036 Unemployment benefits Financial assistance received Financial assistance received Financial assistance received Financial assistance received Financial assistance received All households 4882 453 473333.333 9072.825 25821.944 from relatives or friends not living with family or from charitable organizations Alimony received Alimony received Alimony received Alimony received Alimony received All households 4882 453 215333.333 1673.861 9471.778 by household Receipts from personal and household property sale Receipts from personal and household property sale Receipts from personal and household property sale Receipts from personal and household property sale Receipts from personal and household property sale All households 4882 453 218750 611.286 7741.707 Sale of clothes, jewelry, vehicles, etc Receipts from sales of real estate Receipts from sales of real estate Receipts from sales of real estate Receipts from sales of real estate Receipts from sales of real estate All households 4882 453 2916666.667 3231.492 80288.056 Receipts from sales of real estate Other income Other income Other income Other income Other income All households 4882 453 550000 1956.099 18929.99 Other income Total cash income Total cash income Total cash income Total cash income Total cash income All households 4882 453 3199416.667 263381.287 178481.28 Sum of INCOME1 through INCOME15 In-kind income from plot In-kind income from plot In-kind income from plot In-kind income from plot In-kind income from plot All households 4882 453 -299960.783 325402.554 34630.441 36530.587 Cost of goods produced in individual land plot less material expenses for its maintenance Privileges Privileges Privileges Privileges Privileges All households 4882 453 219861.917 7123.052 16545.3 Privileges Total income Total income Total income Total income Total income All households 4882 453 250 3210043.406 305134.781 187651.069 Total cash income (CASHINC) + in-kind income (INKIND) + PRIVILEGES credits and loans credits and loans credits and loans credits and loans credits and loans All households 4882 453 1291666.667 1180.707 29068.324 Credits and loans useing savings useing savings useing savings useing savings useing savings All households 4882 453 1858333.333 9716.444 41068.721 Useing savings total receipts total receipts total receipts total receipts total receipts All households 4882 453 250 5048831.329 316031.932 209491.315 Total receipts Total income (TOTALINC) + INCOME16+ INCOME17 Expenditures for bread Expenditures for bread Expenditures for bread Expenditures for bread Expenditures for bread All households 4882 453 406.25 93661.211 13577.616 7262.776 Expenditures for bread Expenditures for pastry Expenditures for pastry Expenditures for pastry Expenditures for pastry Expenditures for pastry All households 4882 453 35029.582 3236.166 3540.421 Expenditures for pastry Expenditures for flour Expenditures for flour Expenditures for flour Expenditures for flour Expenditures for flour All households 4882 453 28112.5 1799.527 1968.016 Expenditures for flour Expenditures for cereals and beans Expenditures for cereals and beans Expenditures for cereals and beans Expenditures for cereals and beans Expenditures for cereals and beans All households 4882 453 36274.332 2670.392 2389.452 Expenditures for cereals and beans Expenditures for macaroni food Expenditures for macaroni food Expenditures for macaroni food Expenditures for macaroni food Expenditures for macaroni food All households 4882 453 20696 2369.392 1870.023 Expenditures for macaroni food Expenditures for milk Expenditures for milk Expenditures for milk Expenditures for milk Expenditures for milk All households 4882 453 51025 4589.196 4428.582 Expenditures for milk Expenditures for sour cream and cream Expenditures for sour cream and cream Expenditures for sour cream and cream Expenditures for sour cream and cream Expenditures for sour cream and cream All households 4882 453 25198.334 3496.334 3046.587 Expenditures for sour cream and cream Expenditures for butter Expenditures for butter Expenditures for butter Expenditures for butter Expenditures for butter All households 4882 453 24775.291 3257.574 2631.066 Expenditures for butter Expenditures for cheese Expenditures for cheese Expenditures for cheese Expenditures for cheese Expenditures for cheese All households 4882 453 25476.75 1829.797 2620.718 Expenditures for cheese Expenditures for other dairy products Expenditures for other dairy products Expenditures for other dairy products Expenditures for other dairy products Expenditures for other dairy products All households 4882 453 50890.668 5390.472 5530.061 Expenditures for other dairy products Expenditures for beef and veal Expenditures for beef and veal Expenditures for beef and veal Expenditures for beef and veal Expenditures for beef and veal All households 4882 453 47666.668 1752.483 4385.334 Expenditures for beef and veal Expenditures for pork Expenditures for pork Expenditures for pork Expenditures for pork Expenditures for pork All households 4882 453 98041.664 6790.034 10371.356 Expenditures for pork Expenditures for sausages and smoked meat Expenditures for sausages and smoked meat Expenditures for sausages and smoked meat Expenditures for sausages and smoked meat Expenditures for sausages and smoked meat All households 4882 453 109933.417 15148.822 13038.426 Expenditures for sausages and smoked meat Expenditures for poultry Expenditures for poultry Expenditures for poultry Expenditures for poultry Expenditures for poultry All households 4882 453 53920.207 6221.423 7073.492 Expenditures for poultry Expenditures for fat Expenditures for fat Expenditures for fat Expenditures for fat Expenditures for fat All households 4882 453 40083.332 1978.071 3883.406 Expenditures for fat Expenditures for other meats Expenditures for other meats Expenditures for other meats Expenditures for other meats Expenditures for other meats All households 4882 453 56867.418 5807.027 6653.526 Expenditures for other meats Expenditures for fish and seafood Expenditures for fish and seafood Expenditures for fish and seafood Expenditures for fish and seafood Expenditures for fish and seafood All households 4882 453 87706.664 8210.089 7078.482 Expenditures for fish and seafood Expenditures for vegetable oil, margarine and Expenditures for vegetable oil, margarine and Expenditures for vegetable oil, margarine and Expenditures for vegetable oil, margarine and Expenditures for vegetable oil, margarine and All households 4882 453 31030.459 4478.92 2755.438 Expenditures for vegetable oil, margarine and other grease Expenditures for eggs Expenditures for eggs Expenditures for eggs Expenditures for eggs Expenditures for eggs All households 4882 453 21287.5 3092.403 3154.907 Expenditures for eggs Expenditures for potatoes Expenditures for potatoes Expenditures for potatoes Expenditures for potatoes Expenditures for potatoes All households 4882 453 23020.834 1498.187 2635.738 Expenditures for potatoes Expenditures for vegetables and melons Expenditures for vegetables and melons Expenditures for vegetables and melons Expenditures for vegetables and melons Expenditures for vegetables and melons All households 4882 453 57476.25 5252.921 5613.751 Expenditures for vegetables and melons Expenditures for fruits and berries Expenditures for fruits and berries Expenditures for fruits and berries Expenditures for fruits and berries Expenditures for fruits and berries All households 4882 453 73474.375 5148.471 7122.634 Expenditures for fruits and berries Expenditures for sugar and confectionery Expenditures for sugar and confectionery Expenditures for sugar and confectionery Expenditures for sugar and confectionery Expenditures for sugar and confectionery All households 4882 453 43929.168 6861.499 5425.595 Expenditures for sugar and confectionery Expenditures for tea, coffee, cocoa Expenditures for tea, coffee, cocoa Expenditures for tea, coffee, cocoa Expenditures for tea, coffee, cocoa Expenditures for tea, coffee, cocoa All households 4882 453 44768.75 2370.239 3269.569 Expenditures for tea, coffee, cocoa Expenditures for non-alcoholic drinks Expenditures for non-alcoholic drinks Expenditures for non-alcoholic drinks Expenditures for non-alcoholic drinks Expenditures for non-alcoholic drinks All households 4882 453 23427.75 1198.655 1659.128 Expenditures for non-alcoholic drinks Expenditures for other food Expenditures for other food Expenditures for other food Expenditures for other food Expenditures for other food All households 4882 453 14597.375 1865.955 1654.823 Expenditures for other food Total food expenditures Total food expenditures Total food expenditures Total food expenditures Total food expenditures All households 4882 453 7233.417 494540.958 119891.666 66867.42 Sum of FOOD1 through FOOD26 Expenditures for eating out Expenditures for eating out Expenditures for eating out Expenditures for eating out Expenditures for eating out All households 4882 453 161074.333 4437.164 11518.027 Expenditures for eating out Expenditures for food for feeding domestic animals Expenditures for food for feeding domestic animals Expenditures for food for feeding domestic animals Expenditures for food for feeding domestic animals Expenditures for food for feeding domestic animals All households 4882 453 57698.332 1084.111 3431.288 Expenditures for food for feeding domestic animals Expenditures for alcohol Expenditures for alcohol Expenditures for alcohol Expenditures for alcohol Expenditures for alcohol All households 4882 453 111543.333 6650.132 8338.677 Expenditures for alcohol Expenditures for tobacco Expenditures for tobacco Expenditures for tobacco Expenditures for tobacco Expenditures for tobacco All households 4882 453 82387.5 3340.821 5841.63 Expenditures for tobacco Expenditures for clothing Expenditures for clothing Expenditures for clothing Expenditures for clothing Expenditures for clothing All households 4882 453 179627.5 15748.374 18430.351 Expenditures for clothing Expenditures for footwear Expenditures for footwear Expenditures for footwear Expenditures for footwear Expenditures for footwear All households 4882 453 78183.336 8162.446 8196.799 Expenditures for footwear Expenditures for fabrics Expenditures for fabrics Expenditures for fabrics Expenditures for fabrics Expenditures for fabrics All households 4882 453 40990.832 161.723 1038.418 Expenditures for fabrics Expenditures for household appliances Expenditures for household appliances Expenditures for household appliances Expenditures for household appliances Expenditures for household appliances All households 4882 453 251993.75 8763.119 14630.616 Expenditures for household appliances Expenditures for furniture Expenditures for furniture Expenditures for furniture Expenditures for furniture Expenditures for furniture All households 4882 453 151666.667 2373.807 10578.598 Expenditures for furniture Expenditures for fuel for heating dwellings Expenditures for fuel for heating dwellings Expenditures for fuel for heating dwellings Expenditures for fuel for heating dwellings Expenditures for fuel for heating dwellings All households 4882 453 37500 1087.593 2794.176 Expenditures for fuel for heating dwellings Expenditures for housing and communal services Expenditures for housing and communal services Expenditures for housing and communal services Expenditures for housing and communal services Expenditures for housing and communal services All households 4882 453 168087.917 16874.385 11262.633 Expenditures for rent and utilities Expenditures for health care Expenditures for health care Expenditures for health care Expenditures for health care Expenditures for health care All households 4882 453 264191.667 7004.853 10619.39 Expenditures for health care Expenditures for public transportation Expenditures for public transportation Expenditures for public transportation Expenditures for public transportation Expenditures for public transportation All households 4882 453 114362.083 6634.326 8609.758 Expenditures for public transportation Expenditures for maintenance of private vehicles Expenditures for maintenance of private vehicles Expenditures for maintenance of private vehicles Expenditures for maintenance of private vehicles Expenditures for maintenance of private vehicles All households 4882 453 181416.667 7743.767 17891.213 Expenditures for maintenance of private vehicles Expenditures for construction and purchase of real estate Expenditures for construction and purchase of real estate Expenditures for construction and purchase of real estate Expenditures for construction and purchase of real estate Expenditures for construction and purchase of real estate All households 4882 453 4750000 4502.807 96848.288 Expenditures for construction and purchase of real estate Expenditures for purchase of cars and other vehicles Expenditures for purchase of cars and other vehicles Expenditures for purchase of cars and other vehicles Expenditures for purchase of cars and other vehicles Expenditures for purchase of cars and other vehicles All households 4882 453 650000 2811.861 28807.068 Expenditures for purchase of cars and other vehicles Expenditures for jewelry Expenditures for jewelry Expenditures for jewelry Expenditures for jewelry Expenditures for jewelry All households 4882 453 20166.666 222.993 1356.287 Expenditures for jewelry Expenditures for purchase of securities Expenditures for purchase of securities Expenditures for purchase of securities Expenditures for purchase of securities Expenditures for purchase of securities All households 4882 453 49500 22.177 961.338 Expenditures for purchase of securities Expenditures for purchase of foreign currency Expenditures for purchase of foreign currency Expenditures for purchase of foreign currency Expenditures for purchase of foreign currency Expenditures for purchase of foreign currency All households 4882 453 2507666.667 6169.673 43289.252 Expenditures for purchase of foreign currency Expenditures for education Expenditures for education Expenditures for education Expenditures for education Expenditures for education All households 4882 453 181021.667 3377.562 13277.779 Expenditures for education Expenditures for preschool education Expenditures for preschool education Expenditures for preschool education Expenditures for preschool education Expenditures for preschool education All households 4882 453 29833.334 838.167 3021.952 Expenditures for preschool education Expenditures for culture, recreation and sports Expenditures for culture, recreation and sports Expenditures for culture, recreation and sports Expenditures for culture, recreation and sports Expenditures for culture, recreation and sports All households 4882 453 192156.667 3881.604 6774.554 Expenditures for culture, recreation and sports Expenditures on taxes and insurance Expenditures on taxes and insurance Expenditures on taxes and insurance Expenditures on taxes and insurance Expenditures on taxes and insurance All households 4882 453 61333.332 1802.521 3094.384 Expenditures on taxes and insurance Expenditures for individual land plot Expenditures for individual land plot Expenditures for individual land plot Expenditures for individual land plot Expenditures for individual land plot All households 4882 453 387208.333 6706.06 12770.383 Expenditures for individual land plot Expenditures for financial assistance provided to relatives and others Expenditures for financial assistance provided to relatives and others Expenditures for financial assistance provided to relatives and others Expenditures for financial assistance provided to relatives and others Expenditures for financial assistance provided to relatives and others All households 4882 453 304166.667 9850.558 20311.793 Expenditures for financial assistance provided to relatives and others Expenditures for communication services Expenditures for communication services Expenditures for communication services Expenditures for communication services Expenditures for communication services All households 4882 453 82700 4380.628 6136.241 Expenditures for communication services Expenditures for personal care Expenditures for personal care Expenditures for personal care Expenditures for personal care Expenditures for personal care All households 4882 453 69914.164 4878.27 5954.44 Expenditures for personal care Expenditures for bank deposits Expenditures for bank deposits Expenditures for bank deposits Expenditures for bank deposits Expenditures for bank deposits All households 4882 453 354166.667 2560.668 12651.206 Expenditures for bank deposits Payments of debts, credits and loans Payments of debts, credits and loans Payments of debts, credits and loans Payments of debts, credits and loans Payments of debts, credits and loans All households 4882 453 343750 2289.71 10845.003 Payments of debts, credits and loans Expenditures for communal services Expenditures for communal services Expenditures for communal services Expenditures for communal services Expenditures for communal services All households 4882 453 787130.833 8861.376 22842.947 Expenditures for other goods and services Total expenditures Total expenditures Total expenditures Total expenditures Total expenditures All households 4882 453 23405.208 5188977.958 273114.923 201980.462 Total expenditures Sum of EXPEND1 through EXPEND31 Baseline household sample weight Baseline household sample weight Baseline household sample weight Baseline household sample weight Baseline household sample weight All households 5335 18426.159 306236.939 72230.462 17601.693 It incorporates the base weight (inversely proportional to the probability of being sampled) and correction factors for unit non-response to the baseline interview (vacancies and refusals) What type of house do you live in ? What type of house do you live in ? What type of house do you live in ? What type of house do you live in ? What type of house do you live in ? All households 5335 1 Separate apartment 2 Shared apartment 3 one-apartment dwelling house 4 Part of blocked dwelling house 5 Dormitory 9 Doesn't know, refuses to answer "What type of house do you live in ?" Do you own your dwelling quarters? Do you own your dwelling quarters? Do you own your dwelling quarters? Do you own your dwelling quarters? Do you own your dwelling quarters? Households living in any type of house apart from dormitory 5263 72 1 Yes 2 No 9 Doesn't know, refuses to answer Not in Universe "Do you own your dwelling quarters?" Who is the owner of your dwelling quarters? Who is the owner of your dwelling quarters? Who is the owner of your dwelling quarters? Who is the owner of your dwelling quarters? Who is the owner of your dwelling quarters? Households that do not own their dwelling quarters and do not live in dormitory (No/DKR for B-S1-2) 1383 3952 1 local executive and regulatory authorities 2 Cooperative 3 Enterprise 4 Private 9 Doesn't know, refuses to answer Not in Universe "Who is the owner of your dwelling quarters? " would you like to own your quarters? would you like to own your quarters? would you like to own your quarters? would you like to own your quarters? would you like to own your quarters? Households that do not own their dwelling quarters, do not rent it from private individual and do not live in dormitory (Local Soviets, housing-and-construction cooperative, enterprise, organization, collective farm etc, 5335 1 2 9 "Would you like the dwelling quarters to be your private property?" What is the dwelling space occupied by your family? What is the dwelling space occupied by your family? What is the dwelling space occupied by your family? What is the dwelling space occupied by your family? What is the dwelling space occupied by your family? All households 5335 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 95 98 100 103 107 120 124 125 135 150 162 204 999 Doesn't know, refuses to answer "What is the dwelling space occupied by your family?" How many rooms does your family occupy? How many rooms does your family occupy? How many rooms does your family occupy? How many rooms does your family occupy? How many rooms does your family occupy? All households 5335 1 2 3 4 5 6 7 99 Doesn't know, refuses to answer "How many rooms does your family occupy?" What is the overall (actual living) dwelling space occupied by your family i.e. What is the overall (actual living) dwelling space occupied by your family i.e. What is the overall (actual living) dwelling space occupied by your family i.e. What is the overall (actual living) dwelling space occupied by your family i.e. What is the overall (actual living) dwelling space occupied by your family i.e. Households living in any type of house apart from dormitory 5263 72 16 999 999 Doesn't know, refuses to answer Not in Universe "What is the overall (actual living) dwelling space occupied by your family i.e. total space of dwelling rooms, kitchen, bathroom, toilet room, hall and storerooms?" How long have you been living in this apartment How long have you been living in this apartment How long have you been living in this apartment How long have you been living in this apartment How long have you been living in this apartment All households 5335 85 99 Doesn't know, refuses to answer "How long have you been living in this apartment (this house)?" Do you have central heating at home? Do you have central heating at home? Do you have central heating at home? Do you have central heating at home? Do you have central heating at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have central heating at home?" Do you have gas at home? Do you have gas at home? Do you have gas at home? Do you have gas at home? Do you have gas at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have gas at home?" Do you have fixed-line phone at home? Do you have fixed-line phone at home? Do you have fixed-line phone at home? Do you have fixed-line phone at home? Do you have fixed-line phone at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have telephone at home?" Do you have sewerage at home? Do you have sewerage at home? Do you have sewerage at home? Do you have sewerage at home? Do you have sewerage at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have sewerage at home?" Do you have bath or shower at home? Do you have bath or shower at home? Do you have bath or shower at home? Do you have bath or shower at home? Do you have bath or shower at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have bath or shower at home?" Do you have garage at home? Do you have garage at home? Do you have garage at home? Do you have garage at home? Do you have garage at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have garage at home?" Do you have hot-water supply at home? Do you have hot-water supply at home? Do you have hot-water supply at home? Do you have hot-water supply at home? Do you have hot-water supply at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have hot-water supply at home?" Do you have running water at home? Do you have running water at home? Do you have running water at home? Do you have running water at home? Do you have running water at home? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have running water at home?" Do you have a TV set (black-and-white or color)? Do you have a TV set (black-and-white or color)? Do you have a TV set (black-and-white or color)? Do you have a TV set (black-and-white or color)? Do you have a TV set (black-and-white or color)? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have a TV set (black-and-white or color)?" Do you have personal computer? Do you have personal computer? Do you have personal computer? Do you have personal computer? Do you have personal computer? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have personal computer?" Do you have, music stereo system or tape recorder? Do you have, music stereo system or tape recorder? Do you have, music stereo system or tape recorder? Do you have, music stereo system or tape recorder? Do you have, music stereo system or tape recorder? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have record player, music stereo system or tape recorder?" Do you have video-, DVD- recorder? Do you have video-, DVD- recorder? Do you have video-, DVD- recorder? Do you have video-, DVD- recorder? Do you have video-, DVD- recorder? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have video cassette recorder?" Do you have refrigerator? Do you have refrigerator? Do you have refrigerator? Do you have refrigerator? Do you have refrigerator? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have refrigerator?" Do you have washing machine? Do you have washing machine? Do you have washing machine? Do you have washing machine? Do you have washing machine? All households 5335 1 Yes 2 No 9 Doesn't know, refuses to answer "Do you have washing machine?" motorcycle motorcycle motorcycle motorcycle motorcycle All households 5335 1 2 "Do you have motorcycle?" How many cars does your family have? How many cars does your family have? How many cars does your family have? How many cars does your family have? How many cars does your family have? All households 5335 None 1 One 2 Two 3 Three or more 9 Doesn't know, refuses to answer "How many cars does your family have?" Does your family have any land in use? Does your family have any land in use? Does your family have any land in use? Does your family have any land in use? Does your family have any land in use? All households 5335 1 2 "Does your family have any land in use?" How many land plots altogether are at your disposal? How many land plots altogether are at your disposal? How many land plots altogether are at your disposal? How many land plots altogether are at your disposal? How many land plots altogether are at your disposal? All households 3435 1900 1 One 2 Two 3 Three or more 9 Doesn't know, refuses to answer Not in Universe "How many land plots altogether are at your disposal?" How is the plot (first one) mostly used? How is the plot (first one) mostly used? How is the plot (first one) mostly used? How is the plot (first one) mostly used? How is the plot (first one) mostly used? All households 3435 1900 1 For rest 2 Grow food not for sale (for family) 3 Grow for family and sale 4 Grow for sale 5 Started developing 6 Other 9 Doesn't know, refuses to answer Not in Universe "How is the plot (first one) mostly used? " Ownership of land plot Ownership of land plot Ownership of land plot Ownership of land plot Ownership of land plot All households 3435 1900 1 Own 2 Use constantly 3 Use temporarily 4 Other 9 Doesn't know, refuses to answer Not in Universe Ownership of land plot Does your family keep any poultry, cattle or bees? Does your family keep any poultry, cattle or bees? Does your family keep any poultry, cattle or bees? Does your family keep any poultry, cattle or bees? Does your family keep any poultry, cattle or bees? All households 3435 1900 1 Yes 2 No 9 Doesn't know, refuses to answer Not in Universe "Does your family keep any poultry, cattle or bees?" Unique person code Unique person code Unique person code Unique person code Unique person code All persons 15016 1010101 7184002 4016083.549 1978314.942 This identifier is common to all files for the same year. It may be used in matching files at personal level Unique household code Unique household code Unique household code Unique household code Unique household code All persons 15016 10101 71840 40160.813 19783.15 This identifier is common to all files for the same year. It may be used in matching files at household level and assigning household characteristics at personal level Year Year Year Year Year All persons 15016 2002 Only one value applies to each file Personal weight Personal weight Personal weight Personal weight Personal weight All households 15016 320960.022 67802.578 26977.938 It incorporates the base weight (inversely proportional to the probability of being sampled) and correction factors for unit non-response to the baseline interview (vacancies and refusals) and subsequent quarterly interviews (refusals) Residence Residence Residence Residence Residence All households 15016 1 Minsk city 2 Large city 3 Small city 4 Rural Large cities - population more than 100,000. Small cities - less than 100,000. Minsk city being very important is separated from other large cities which are Brest, Baranovichi, Pinsk, Vitebsk, Orsha, Gomel, Mozyr, Grodno, Soligorsk, Borisov, Mogilev, Bobruisk Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) Geographical location (oblast) All households 15016 1 Brest oblast 2 Vitebsk oblast 3 Gomel oblast 4 Grodno oblast 5 Minsk city 6 Minsk oblast 7 Mogilev oblast Geographical location (oblast) Age Age Age Age Age All persons 15016 107 200 Not in Universe as of December 2002 Sex Sex Sex Sex Sex All persons 15016 Not in Universe 1 Male 2 Female Sex Wages from the main job Wages from the main job Wages from the main job Wages from the main job Wages from the main job All adults over 16 15016 926666.667 53605.375 81780.261 Payment for work in cash from the main job including subsidies, benefits and dividends after deducting payroll and other taxes and alimony (in case it is withheld from wages) Number of months Number of months Number of months Number of months Number of months All adults over 16 15016 12 Number of months for which wages from the main job were reported Other subsidies from the main job Other subsidies from the main job Other subsidies from the main job Other subsidies from the main job Other subsidies from the main job All adults over 16 15016 53929.168 124.082 1393.776 Other subsidies from the main job that are not included in wages In-kind wages from the main job In-kind wages from the main job In-kind wages from the main job In-kind wages from the main job In-kind wages from the main job All adults over 16 15016 88333.336 206.432 1810.674 In-kind wages from the main job Wages from other jobs Wages from other jobs Wages from other jobs Wages from other jobs Wages from other jobs All adults over 16 15016 165083.333 131.432 3077.096 Wages from other jobs Payment for work (cash + in-kind) from other jobs including subsidies, benefits and dividends after deducting payroll and other taxes Payment from occasional jobs other than running a private business or farming th Payment from occasional jobs other than running a private business or farming th Payment from occasional jobs other than running a private business or farming th Payment from occasional jobs other than running a private business or farming th Payment from occasional jobs other than running a private business or farming th All adults over 16 15016 1070000 2321.02 21628.463 Payment from occasional jobs other than running a private business or farming the family's land plot Self-employment income Self-employment income Self-employment income Self-employment income Self-employment income All adults over 16 15016 592881.667 982.203 16869.401 Self-employment income Income from entrepreneurial activities Pension Pension Pension Pension Pension All adults over 16 15016 351196.75 18768.623 37331.171 Pension Retirement, disability, survivor's, military, social and other types Student grants Student grants Student grants Student grants Student grants All adults over 16 15016 49166.668 272.639 2497.587 Student grants Unemployment benefits Unemployment benefits Unemployment benefits Unemployment benefits Unemployment benefits All adults over 16 15016 130333.333 60.805 1392.785 Unemployment benefits Lump-sum payments Lump-sum payments Lump-sum payments Lump-sum payments Lump-sum payments All adults over 16 15016 208333.333 194.098 3332.119 Lump-sum payments related to the termination of work Other types of income Other types of income Other types of income Other types of income Other types of income All adults over 16 15016 550000 641.365 10388.985 Other types of income Participation in Baseline interview Participation in Baseline interview Participation in Baseline interview Participation in Baseline interview Participation in Baseline interview All persons 15016 Didn't take part in BL interview 1 Took part in BL interview Participation in Baseline interview Participation in interview for Q1 Participation in interview for Q1 Participation in interview for Q1 Participation in interview for Q1 Participation in interview for Q1 All persons 15016 Didn't take part in interview for Q1 1 Took part in interview 2 A child, no interviews Participation in interview for Q1 Participation in interview for Q2 Participation in interview for Q2 Participation in interview for Q2 Participation in interview for Q2 Participation in interview for Q2 All persons 15016 Didn't take part in interview for Q2 1 Took part in interview 2 A child, no interviews Participation in interview for Q2 Participation in interview for Q3 Participation in interview for Q3 Participation in interview for Q3 Participation in interview for Q3 Participation in interview for Q3 All persons 15016 Didn't take part in interview for Q3 1 Took part in interview 2 A child, no interviews Participation in interview for Q3 Participation in interview for Q4 Participation in interview for Q4 Participation in interview for Q4 Participation in interview for Q4 Participation in interview for Q4 All persons 15016 Didn't take part in interview for Q4 1 Took part in interview 2 A child, no interviews Participation in interview for Q4 Reason for not taking part in Q1 Reason for not taking part in Q1 Reason for not taking part in Q1 Reason for not taking part in Q1 Reason for not taking part in Q1 All persons 15016 Not applicable(present) 1 Dropped household/person 2 Person joined in Q2, Q3, Q4 3 Unknown reason Reason for not taking part in Q1 Reason for not taking part in Q2 Reason for not taking part in Q2 Reason for not taking part in Q2 Reason for not taking part in Q2 Reason for not taking part in Q2 All persons 15016 Not applicable(present) 1 Dropped household/person 2 Person joined in Q3, Q4 3 Unknown reason Reason for not taking part in Q2 Reason for not taking part in Q3 Reason for not taking part in Q3 Reason for not taking part in Q3 Reason for not taking part in Q3 Reason for not taking part in Q3 All persons 15016 Not applicable(present) 1 Dropped household/person 2 Person joined in Q4 3 Unknown reason Reason for not taking part in Q3 Reason for not taking part in Q4 Reason for not taking part in Q4 Reason for not taking part in Q4 Reason for not taking part in Q4 Reason for not taking part in Q4 All persons 15016 Not applicable(present) 1 Dropped household/person 3 Unknown reason Reason for not taking part in Q4 Reason for dropping in Q1 Reason for dropping in Q1 Reason for dropping in Q1 Reason for dropping in Q1 Reason for dropping in Q1 All persons 15016 Not applicable 4 Death 5 Divorce 6 Move to another residence 9 Dropped Household Reason for dropping in Q1 Reason for dropping in Q2 Reason for dropping in Q2 Reason for dropping in Q2 Reason for dropping in Q2 Reason for dropping in Q2 All persons 15016 Not applicable 4 Death 5 Divorce 6 Move to another residence 9 Dropped Household Reason for dropping in Q2 Reason for dropping in Q3 Reason for dropping in Q3 Reason for dropping in Q3 Reason for dropping in Q3 Reason for dropping in Q3 All persons 15016 Not applicable 4 Death 5 Divorce 6 Move to another residence 9 Dropped Household Reason for dropping in Q3 Reason for dropping in Q4 Reason for dropping in Q4 Reason for dropping in Q4 Reason for dropping in Q4 Reason for dropping in Q4 All persons 15016 Not applicable 4 Death 5 Divorce 6 Move to another residence 9 Dropped Household Reason for dropping in Q4 Reason for joining in Q1 Reason for joining in Q1 Reason for joining in Q1 Reason for joining in Q1 Reason for joining in Q1 All persons 15016 Not applicable 1 Birth 2 Marriage 3 Moved from another residence Reason for joining in Q1 Reason for joining in Q2 Reason for joining in Q2 Reason for joining in Q2 Reason for joining in Q2 Reason for joining in Q2 All persons 15016 Not applicable 1 Birth 2 Marriage 3 Moved from another residence Reason for joining in Q2 Reason for joining in Q3 Reason for joining in Q3 Reason for joining in Q3 Reason for joining in Q3 Reason for joining in Q3 All persons 15016 Not applicable 1 Birth 2 Marriage 3 Moved from another residence Reason for joining in Q3 Reason for joining in Q4 Reason for joining in Q4 Reason for joining in Q4 Reason for joining in Q4 Reason for joining in Q4 All persons 15016 Not applicable 1 Birth 2 Marriage 3 Moved from another residence Reason for joining in Q4 Baseline personal weight = Baseline household Baseline personal weight = Baseline household Baseline personal weight = Baseline household Baseline personal weight = Baseline household Baseline personal weight = Baseline household All persons 15016 18426.159 306236.939 67441.47 16751.737 Baseline personal weight = Baseline household sample weight It incorporates the base weight (inversely proportional to the probability of being sampled) and correction factors for unit non-response to the baseline interview (vacancies and refusals) Education Education Education Education Education All adults over 16 10373 4643 1 Higher Education 2 Secondary specialized education 3 Vocational school 4 General Secondary education 6 General Primary education 7 Incomplete Primary education 9 Doesn't know, refuses to answer Not in Universe 5 Education field of study field of study field of study field of study field of study Persons who have higher education 15016 1 2 3 4 5 6 7 8 field of study postgraduate degree postgraduate degree postgraduate degree postgraduate degree postgraduate degree Persons who have higher education 15016 2 3 4 Postgraduate degree Ever worked? Ever worked? Ever worked? Ever worked? Ever worked? All workers 12005 3011 1 Yes 2 No 9 Doesn't know , refuses answer Not in Universe "Ever worked?" age when started working age when started working age when started working age when started working age when started working 15016 12 100 43.099 37.502 Age when started working number of years worked number of years worked number of years worked number of years worked number of years worked 15016 100 47.749 35.946 Number of years worked Works at present Works at present Works at present Works at present Works at present All adults over 16 10484 4532 1 Yes 2 No 9 Doesn't know , refuses answer Not in Universe Works at present Socioeconomic status of workers Socioeconomic status of workers Socioeconomic status of workers Socioeconomic status of workers Socioeconomic status of workers All workers 6801 8215 1 Emloyed at organization 2 Employed by natural persons 3 Organization/firm owner or coowner (employer) 4 Member of producers' cooperative 5 Self-employed 6 Own-account worker 7 Contributing family worker 8 Other worker 9 Doesn't know , refuses answer Not in Universe Socioeconomic status of workers Socioeconomic status of non-workers Socioeconomic status of non-workers Socioeconomic status of non-workers Socioeconomic status of non-workers Socioeconomic status of non-workers All non-workers 5204 9812 1 Pensioner 2 Student 3 Unemployed 4 House- wife 5 Other non worker 6 9 Doesn't know , refuses answer Not in Universe Socioeconomic status of non-workers Number of children Number of children Number of children Number of children Number of children All women 6695 8321 99 Non 99 Doesn't know , refuses answer 100 Not in Universe Number of children Age when the first child was born Age when the first child was born Age when the first child was born Age when the first child was born Age when the first child was born Women who have any children 5310 9706 15 22.879 99 Doesn't know , refuses answer 100 Not in Universe Age when the first child was born Health evaluation Health evaluation Health evaluation Health evaluation Health evaluation All persons 12286 2730 1 Yes 2 No 9 Doesn't know , refuses to answer. Not in Universe 3 Health evaluation Staying at a hospital (for the last 12 months) Staying at a hospital (for the last 12 months) Staying at a hospital (for the last 12 months) Staying at a hospital (for the last 12 months) Staying at a hospital (for the last 12 months) All persons 14408 608 1 Yes 2 No 9 Doesn't know, refuses to answer. Not in Universe Staying at a hospital (for the last 12 months) Medical visits (for the last 3 months) Medical visits (for the last 3 months) Medical visits (for the last 3 months) Medical visits (for the last 3 months) Medical visits (for the last 3 months) All persons 14408 608 99 1.089 2.374 Medical visits (for the last 3 months) Weight Weight Weight Weight Weight All persons 14408 608 3 999 63.624 21.947 Weight Height Height Height Height Height All persons 15016 50 1000 194.984 166.755 Height Does health influence the ability to work? Does health influence the ability to work? Does health influence the ability to work? Does health influence the ability to work? Does health influence the ability to work? All adults over 16 11521 3495 1 Influences completely 2 Yes, influences 3 No, does not influence 4 Doesn't know, reuses to answer Not in Universe 9 "Does health influence the ability to work?" does a person need help in eating, dressing up etc.? does a person need help in eating, dressing up etc.? does a person need help in eating, dressing up etc.? does a person need help in eating, dressing up etc.? does a person need help in eating, dressing up etc.? All adults over 16 15016 1 2 3 9 "Does a person need help in eating, dressing up etc.?" Sports practicing Sports practicing Sports practicing Sports practicing Sports practicing All adults over 16 12005 3011 1 Yes 2 No 9 Doesn't know, refuses to answer Not in Universe Sports practicing Smoking Smoking Smoking Smoking Smoking All adults over 16 12005 3011 Not in Universe Smoking Period of smoking Period of smoking Period of smoking Period of smoking Period of smoking Smoking persons 3115 11901 9 99 18.933 5.715 Period of smoking Number of cigarettes a day Number of cigarettes a day Number of cigarettes a day Number of cigarettes a day Number of cigarettes a day Smoking persons 3115 11901 1 99 13.446 7.447 Number of cigarettes a day