Living Standards Survey 1999 DDI_TJK_1999_LSMS_v01_M

World Bank, Living Standard Measurement Study (LSMS)

2010-06-15 Metadata Editor Version 0.1 (June 2010). TJK_1999_LSMS_v01_M Living Standards Survey 1999 TLSS 1999 TJK_1999_LSMS_v01_M State Statistical Agency (Goskomstat) United Nations Development Programme The World Bank London School of Economics Metadata Editor LSMS Data Manager Living Standards Measurement Study [hh/lsms] This is the frst Living Standards Measurement Study (LSMS) survey conducted in Tajikistan. The Tajik Living Standards Survey (TLSS) was conducted jointly by the State Statistical Agency and the Center for Strategic Studies under the Office of the President in collaboration with the sponsors, the United Nations Development Programme (UNDP) and the World Bank (WB). International technical assistance was provided by a team from the London School of Economics (LSE). The purpose of the survey is to provide quantitative data at the individual, household and community level that will facilitate purposeful policy design on issues of welfare and living standards of the population of the Republic of Tajikistan in 1999. Tajikistan National coverage. The TLSS sample was designed to represent the population of the country as a whole as well as the strata. The sample was stratified by oblast and by urban and rural areas. The country is divided into 4 oblasts, or regions; Leninabad in the northwest of the country, Khatlon in the southwest, Rayons of Republican Subordination (RRS) in the middle and to the west of the country, and Gorno-Badakhshan Autonomous Oblast (GBAO) in the east. The capital, Dushanbe, in the RRS oblast, is a separately administrated area. Oblasts are divided into rayons (districts). Rayons are further subdivided into Mahallas (committees) in urban areas, and Jamoats (villages) in rural areas. - Households - Individuals - Communites Sample survey data [ssd] Household Questionnaire Section 1. Household information (individual level) Section 2. Dwelling (household level) Part 2A: Characteristics of the Dwelling Part 2B: Expenditures on Dwelling Section 3. Education (individuals aged 7 years +) Section 4. Health (individual level) Part 4A: General Health Status Part 4B: General Utilization of Health Care Services Part 4C: Hospital Utilization Section 5. Employment (individuals aged 11 years +) Part 5A: Time use Part 5B: Employment and Wage main job Part 5C: Employment History Section 6. Migration Part 6A: Place of Birth and Migration (individuals aged 15 years +) Part 6B: Households of Displaced Persons (household level) Part 6C: Property of displaced persons (household level) Section 7. Sources of Income of the Household (household level) Part 7A: General Part 7B: Income from Social Protection Payments Section 8. Consumption and Expenditures (household level) Part 8A: General Expenditures Part 8B: Household food consumption and expenditure Part 8C: Household perception of food security and coping strategies Section 9. List of Durables (household level) Section 10. Agriculture (household level) Part 10A: Agricultural activity Part 10B: Inputs and Outputs Part 10C: Agricultural Property Section 11. Female Questionnaire (Married Females aged 15-49 years) Questionnaire for Population point (PP) (population point) Section 1. Demographic information Section 2. Infrastructure Section 3. Economy Section 4. Refugees and Displaced persons Section 5. Education Section 6. Health Section 7. Agriculture Section 8. Institutions The TLSS sample was designed to represent the population of the country as a whole as well as the strata. The sample was stratified by oblast and by urban and rural areas. In common with standard LSMS practice a two-stage sample was used. In the first stage 125 primary sample units (PSU) were selected with the probability of selection within strata being proportional to size. At the second stage, 16 households were selected within each PSU, with each household in the area having the same probability of being chosen. [Note: In addition to the main sample, the TLSS also included a secondary sample of 15 extra PSU (containing 400 households) in Dangara and Varzob. Data in the oversampled areas were collected for the sole purpose of providing baseline data for the World Bank Health Project in these areas. The sampling for these additional units was carried out separately after the main sampling procedure in order to allow for their exclusion in nationally representative analysis.] The twostage procedure has the advantage that it provides a self-weighted sample. It also simplified the fieldwork operation as a one-field team could be assigned to cover a number of PSU. A critical problem in the sample selection with Tajikistan was the absence of an up to date national sample frame from which to select the PSU. As a result lists of the towns, rayons and jamoats (villages) within rayons were prepared manually. Current data on population size according to village and town registers was then supplied to the regional offices of Goskomstat and conveyed to the center. This allowed the construction of a sample frame of enumeration units by sample size from which to draw the PSU. This procedure worked well in establishing a sample frame for the rural population. However administrative units in some of the larger towns and in the cities of Dushanbe, Khojand and Kurgan-Tubbe were too large and had to be sub-divided into smaller enumeration units. Fortuitously the survey team was able to make use of information available as a result of the mapping exercise carried out earlier in the year as preparation for the 2000 Census in order to subdivide these larger areas into enumeration units of roughly similar size. The survey team was also able to use the household listings prepared for the Census for the second stage of the sampling in urban areas. In rural areas the selection of households was made using the village registers – a complete listing of all households in the village which is (purported to be) regularly updated by the local administration. When selecting the target households a few extra households (4 in addition to the 16) were also randomly selected and were to be used if replacements were needed. In actuality non-response and refusals from households were very rare and use of replacement households was low. There was never the case that the refusal rate was so high that there were not enough households on the reserve list and this enabled a full sample of 2000 randomly selected households to be interviewed. Face-to-face [f2f] The questionnaire was based on the standard LSMS for the CIS countries, and adapted and abridged for Tajikistan. In particular the health section was extended to allow for more in depth information to be collected and a section on food security was also added. The employment section was reduced and excludes information on searching for employment. The questionnaires were translated into Tajik, Russian and Uzbek. The TLSS consists of three parts: a household questionnaire, a community level questionnaire and a price questionnaire. Household questionnaire: the Household questionnaire is comprised of 10 sections covering both household and individual aspects. Community/Population point Questionnaire: the Community level or Population Point Questionnaire consists of 8 sections. The community level questionnaire provides information on differences in demographic and economic infrastructure. Open-ended questions in the questionnaire were not coded and hence information on the responses to these qualitative questions is not provided in the data sets. Summary of Section contents The brief descriptions below provide a summary of the information found in each section. The descriptions are by no means exhaustive of the information covered by the survey and users of the survey need to refer to each particular section of the questionnaire for a complete picture of the information gathered. Household information/roster This includes individual level information of all individuals in the household. It establishes who belongs to the household at the time of the interview. Information on gender, age, relation to household head and marital status are included. In the question relating to family status, question 7, “Nekared” means married where nekar is the Islamic (arabic) term for marriage contract. Under Islamic law a man may marry more than once (up-to four wives at any one time). Although during the Soviet period it was illegal to be married to more than one woman this practice did go on. There may be households where the household head is not present but the wife is married or nekared, or in the same household a respondent may answer married and another nekared to the household head. Dwelling This section includes information covering the type of dwelling, availability of utilities and water supply as well as questions pertaining to dwelling expenses, rents, and the payment of utilities and other household expenses. Information is at the household level. Education This section includes all individuals aged 7 years and older and looks at educational attainment of individuals and reasons for not continuing education for those who are not currently studying. Questions related to educational expenditures at the household level are also covered. Schooling in Tajikistan is compulsory for grades (classes) 1-9. Primary level education refers to grades 1 - 4 for children aged 7 to 11 years old. General secondary level education refers to grades 5-9, corresponding to the age group 12-16 year olds. Post-compulsory schooling can be divided into three types of school: - Upper secondary education covers the grades 10 and 11. - Vocational and Technical schools can start after grade 9 and last around 4 years. These schools can also start after grade 11 and then last only two years. Technical institutions provide medical and technical (e.g. engineering) education as well as in the field of the arts while vocational schools provide training for employment in specialized occupation. - Tertiary or University education can be entered after completing all 11 grades. - Kindergarten schools offer pre-compulsory education for children aged 3 – 6 years old and information on this type of schooling is not covered in this section. Health This section examines individual health status and the nature of any illness over the recent months. Additional questions relate to more detailed information on the use of health care services and hospitals, including expenses incurred due to ill health. Section 4B includes a few terms, abbreviations and acronyms that need further clarification. A feldscher is an assistant to a physician. Mediniski dom or FAPs are clinics staffed by physical assistants and/or midwifes and a SUB is a local clinic. CRH is a local hospital while an oblast hospital is a regional hospital based in the oblast administrative centre, and the Repub. Hospital is a national hospital based in the capital, Dushanbe. The latter two are both public hospitals. Employment This section covers individuals aged 11 years and over. The first part of this section looks at the different activities in which individuals are involved in order to determine if a person is engaged in an income generating activity. Those who are engaged in such activities are required to answer questions in Part B. This part relates to the nature of the work and the organization the individual is attached to as well as questions relating to income, cash income and in-kind payments. There are also a few questions relating to additional income generating activities in addition to the main activity. Part C examines employment history in the previous two years. Migration This section covers all individuals aged 15 years and older and determines how long respondents have resided in their present location. Part B relates to households who were displaced, detailing how many in the family were affected and for what reason. Part C relates to the property left by those who are displaced. Sources of Income of the Household This section covers specified sources of income over the previous month from all members in the household. Part A includes wage income, movable property and alimony, while part B includes information on income from social protection payments, such as employment pensions and family allowances. Part B also includes a summary question on total income from all sources for all household members. Consumption and Expenditures This section gathers information on household expenditure and in particular consumption. Part A focuses on a summary of 24 categories of household expenditures undertaken over the last month and the last year. Part B covers information on 33 specified food items, including expenditure on the item as well as the value of growing and consuming the goods. Part C provides information on issues of food security and coping strategies and includes questions on subjective perceptions of welfare. List of Durables This section includes ownership of 16 durable items, including motorcycles and cars. Agriculture This section provides information across a variety of agricultural aspects. Part A focuses on land use and ownership across different specified land types, including how much was earned across land types. Part B includes questions on costs of inputs and outputs of land and livestock. Part C covers income and expenditure across 17 specified agricultural related property including different livestock and different equipment. Female Questionnaire This section of the questionnaire looks at particular aspects of the health of married women, in particular fertility issues. Another part of this section focuses on information on each child born to the respondent. Population Point /Community This section provides information on the nature of the different population points. Part 1 covers demographic information such as population of the community and the ethnic make-up. The part focusing on infrastructure includes questions on the availability of different utilities, distance from the capital and the quality of the roads. A part on the nature of the economy of the population point includes information on the economic activity in the area, the existence of state enterprises and to what extent economic conditions have changed over the last year. Another part focuses on information on refugees or displaced persons in the population point. There is a section on education relating to the school attendance of boy and girls and to the quality of the schools in the area. Information on the availability of health facilities and medication, as well as the quality of these services is also included. A section on agriculture focuses on the nature of the agricultural activities in the community, including questions on irrigation and the use of specific inputs. There is also a question on the average wage of specified agricultural labour. The final part provides information on the availability and accessibility of 45 different institutions and services, for example, dentists, kindergartens, state employment services, theatres and bus stations. Fieldwork teams A total of 60 fieldwork staff were recruited and divided into 12 fieldwork teams of 1 supervisor plus 4 interviewers. Out of the 12 Supervisors, 8 were employees of the State Statistical Agency and 4 were from the Center for Strategic Research. Of the 48 interviewers, 36 were employees of the State Statistical Agency and the remaining 12 were from other government and public organizations. Training Supervisors were trained over a period of 5 days in March 1999 which included two days of training, two days of field work which was used to pilot the survey and one day summary discussion. The Supervisors then also participated in the training for the interviewers, which was also held over 5 days prior to the start of the main fieldwork operation. The main survey began on 3rd May 1999. Pilot Survey The household questionnaire was piloted over 2 days in 3 Jamoats. A total of 40 households were surveyed over 2 days. Pilot projects were selected in Dushanbe in October and Frunze rayons (two Mahalla Committees), Gissar rayon (two jamoats) and Varzob rayon (three jamoats). Each interviewer surveyed 4 households over 2 days, with a total of 192 households covered in 2 days. Supervisors were responsible for overseeing the sampling methodology of households and ensuring the questionnaires were completed correctly. Difficulties encountered A few selected jamoats that were initially selected had to be replaced since permission to sample in those areas was not granted. Permission was obtained from the United Tajik Opposition (UTO) which control parts of the Karategin Valley. In rural areas, it took longer to complete the interviews because more time was needed to respond to the questions on agriculture, definitions of income and covering the greater number of children in the household. In cities, (particularly Dushanbe) there were a few problems with respondents not willing to participate. In only a few cases were the female questionnaires completed in the presence of the respondent's husband. In a few regions, the interviewers encountered additional problems including the exposure to the risk of typhoid and scabies, and had to take precautions when carrying out the interviews. Worldb Bank LSMS Use of the dataset must be acknowledged by including a citation which would include: - Identification of the Primary Investigator - Title of the survey (including the year of implementation) - Survey reference number - Source and date of download Example: Tajikistan State Statistical Agency - Goskomstat. Tajikistan Living Standards Survey 1999. Ref. TJK_1999_LSMS_v01_M. Dataset downloaded from www.microdata.worldbank.org on [date] In receiving these data it is recognized that the data are supplied for use within your organization, and you agree to the following stipulations as conditions for the use of the data: 1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly. 2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to: GOSCOMSTAT 17 Bokhtar Str. Dushanbe, Tajikstan telephone: (992-372) 27-63-31 fax:(992-372) 21-43-75 e-mail: stat@tojikiston.com AND The World Bank Development Economics Research Group LSMS Database Administrator MSN MC3-306 1818 H Street, NW Washington, DC 20433, USA tel: (202) 473-9041 fax: (202) 522-1153 e-mail: lsms@worldbank.org 3. The researcher will refer to the 1999 Tajikistan Living Standards Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, GOSKOMSTAT is not responsable for the estimations reported by the analyst(s). 4. Users who download the data may not pass the data to third parties. 5. The database cannot be used for commercial ends, nor can it be sold. 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. SSEC1.NSDstat Section 1. Household information (individual level) 14142 20 Nesstar 200801 SSEC2.NSDstat Section 2. Dwelling (household level) Part 2A: Characteristics of the Dwelling Part 2B: Expenditures on Dwelling 2000 66 Nesstar 200801 SSEC3.NSDstat Section 3. Education (individuals aged 7 years +) 11330 30 Nesstar 200801 SSEC4.NSDstat Section 4. Health (individual level) Part 4A: General Health Status Part 4B: General Utilization of Health Care Services Part 4C: Hospital Utilization 14101 70 Nesstar 200801 SSEC5.NSDstat Section 5. Employment (individuals aged 11 years +) Part 5A: Time use Part 5B: Employment and Wage main job Part 5C: Employment History 10308 39 Nesstar 200801 SSEC6A.NSDstat Section 6. Migration Part 6A: Place of Birth and Migration (individuals aged 15 years +) 9654 12 Nesstar 200801 SSEC6BC.NSDstat Section 6. Migration Part 6B: Households of Displaced Persons (household level) Part 6C: Property of displaced persons (household level) 2000 75 Nesstar 200801 SSEC7.NSDstat Section 7. Sources of Income of the Household (household level) Part 7A: General Part 7B: Income from Social Protection Payments 2000 94 Nesstar 200801 SSEC8.NSDstat Section 8. Consumption and Expenditures (household level) Part 8A: General Expenditures Part 8B: Household food consumption and expenditure Part 8C: Household perception of food security and coping strategies 2000 263 Nesstar 200801 SSEC9.NSDstat Section 9. List of Durables (household level) 2000 52 Nesstar 200801 SSEC10.NSDstat Section 10. Agriculture (household level) Part 10A: Agricultural activity Part 10B: Inputs and Outputs Part 10C: Agricultural Property 2000 282 Nesstar 200801 SSEC11A.NSDstat Section 11. Female Questionnaire (Married Females aged 15-49 years) 2520 40 Nesstar 200801 SSEC11CH.NSDstat Section 11. Female Questionnaire (Married Females aged 15-49 years) 8890 16 Nesstar 200801 SHLDDTA.NSDstat Constructed variables (household level) 2000 40 Nesstar 200801 SINDIV.NSDstat Constructed variables (individual level) 14142 5 Nesstar 200801 SPOP_PT.NSDstat Questionnaire for Population point (PP) (population point): Section 1. Demographic information Section 2. Infrastructure Section 3. Economy Section 4. Refugees and Displaced persons Section 5. Education Section 6. Health Section 7. Agriculture Section 8. Institutions 125 382 Nesstar 200801 population point code 14142 0 1 140 73.915 38.677 household identification code 14142 0 1 2400 1226.963 656.004 individual identification code 14142 0 1 27 4.758 3.196 14142 0 2 31 16.389 7.61 14142 0 3 4 5 14132 8 5 9 1 14142 0 99 14142 sex 14142 0 1 7019 2 7123 relationship to head of househo 14136 6 1 2000 2 1589 3 7104 4 896 5 120 6 7 7 11 8 180 9 2076 10 10 11 129 12 1 14 13 Sysmiss 6 ethnicity 14099 43 1 10294 2 103 3 3485 4 36 5 120 6 61 Sysmiss 43 other ethnicity 31 0 1 27 Turkmen 1 Ukraina 1 iran 1 ukrainka 1 month of birth 14020 122 1 1618 2 1316 3 1429 4 1366 5 1315 6 1193 7 913 8 1110 9 973 10 967 11 867 12 953 Sysmiss 122 year of birth 14130 12 3 99 75.77 18.522 age 14142 0 0 101 22.757 18.579 family status 8096 6046 1 4940 2 118 3 214 4 45 5 480 6 2299 Sysmiss 6046 spouse id code 5412 8730 0 399 1 1587 2 1738 3 581 4 370 5 207 6 163 7 117 8 85 9 55 10 47 11 22 12 20 13 12 14 3 15 3 16 2 18 1 Sysmiss 8730 months absent in last year 13597 545 0 90 0.107 1.274 reason for absence 243 13899 1 38 2 86 3 19 4 5 5 40 6 7 7 7 8 24 9 4 10 13 Sysmiss 13899 household member 14060 82 1 14036 2 24 Sysmiss 82 14142 0 1 14142 14142 0 3 14142 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 type of dwelling 1998 2 1 1587 2 77 3 236 4 32 5 47 6 14 7 5 Sysmiss 2 0 0 number of rooms 1985 15 0 27 3.373 1.497 years in dwelling 1988 12 0.1 97 23.488 17.715 size of dwelling 1984 16 3 458 60.913 36.935 year built 1982 18 2 98 72.063 15.843 walls 1999 1 1 383 2 244 3 1335 4 24 5 13 Sysmiss 1 roof 1999 1 1 1512 2 109 3 22 4 19 5 111 6 194 7 32 Sysmiss 1 floor 1999 1 1 40 2 933 3 81 4 33 5 896 6 16 Sysmiss 1 number of floors 1965 35 0 3 1 1657 2 95 3 9 4 106 5 71 9 24 Sysmiss 35 elevator 1973 27 0 1 1 51 2 1921 Sysmiss 27 elevator working? 56 1944 0 2 1 6 2 6 3 5 4 37 Sysmiss 1944 building damaged? 1984 16 1 136 2 1848 Sysmiss 16 extent of damage 134 1866 0 1 1 40 2 34 3 12 4 47 Sysmiss 1866 own dwelling? 1993 7 1 1799 2 194 Sysmiss 7 how own? 1810 190 1 236 2 179 3 1031 4 17 5 23 6 275 7 49 Sysmiss 190 year privatised 283 1717 0 99 84.816 20.822 assistance with purchase 1511 489 1 329 2 1182 Sysmiss 489 who assisted purchase 345 1655 1 22 2 24 3 1 4 1 5 1 6 280 7 16 Sysmiss 1655 possible to sell? 1538 462 1 1341 2 197 Sysmiss 462 current estimated sale value 1331 669 0 100000000 2918095.389 4431127.256 current estimated rent value 1565 435 0 500000 3970.102 14611.161 time unit 1063 937 3 13 4 22 5 972 6 44 7 5 8 7 Sysmiss 937 pay rent? 455 1545 1 101 2 354 Sysmiss 1545 landlord 98 1902 2 3 3 27 4 56 5 12 Sysmiss 1902 rent amount 99 1901 0 300000 5196.293 30204.294 time period rent 72 1928 0 10 1 3 3 2 4 3 5 45 8 9 Sysmiss 1928 in kind rent? 103 1897 0 1 1 14 2 88 Sysmiss 1897 in kind rent amount 16 1984 0 100000 11285.688 24622.842 in-kind rent time period 15 1985 0 1 3 1 5 6 6 1 7 5 8 1 Sysmiss 1985 help with rent 489 1511 1 11 2 84 3 394 Sysmiss 1511 who helps with rent 38 1962 1 21 2 10 4 2 5 2 6 3 Sysmiss 1962 water source 1994 6 0 1 1 922 2 166 3 249 4 471 5 33 6 54 7 98 Sysmiss 6 hours water was available 961 1039 0 24 13.83 8.853 location of standing water pipe 1141 859 1 285 2 386 3 57 4 413 Sysmiss 859 distance to water 1173 827 0 6000 230.035 512.741 water quality 1987 13 1 119 2 893 3 732 4 243 Sysmiss 13 source of hot water 1998 2 0 2 1 11 2 49 3 71 4 6 5 350 6 7 7 1502 Sysmiss 2 type of toilet 1999 1 1 280 2 1705 3 6 4 8 Sysmiss 1 exclusive use of toilet? 1985 15 1 1881 2 104 Sysmiss 15 outside toilet? 1986 14 1 1694 2 292 Sysmiss 14 main source of lighting 1999 1 1 1939 2 50 3 5 4 5 Sysmiss 1 availability of electricity (ho 1931 69 0 500 12.229 13.556 usual cooking fuel 1994 6 1 188 2 316 3 862 4 3 5 4 6 348 7 246 8 27 Sysmiss 6 usual source of heat 1996 4 0 1 1 8 2 108 3 247 4 110 5 898 6 471 7 153 Sysmiss 4 months heated 1973 27 0 44 4.154 1.617 location of phone 1997 3 1 277 2 344 3 73 4 228 5 1075 Sysmiss 3 type of phone calls possible 918 1082 1 140 2 81 3 53 4 644 Sysmiss 1082 garbage disposal 1996 4 1 21 2 119 3 999 4 221 5 636 Sysmiss 4 pollution 1992 8 1 180 2 1812 Sysmiss 8 minutes to nearest bus stop 1986 14 0 1500 18.623 44.034 amount central heat 1970 30 0 32000 42.25 1017.496 amount electricty 1991 9 0 21000 612.884 1175.14 gas 1968 32 0 50000 311.58 1620.734 kerosene 1973 27 0 45000 662.331 2237.469 other fuel 1969 31 0 130000 1201.527 6807.35 water 1978 22 0 15000 92.68 567.384 waste disposal 1984 16 0 3000 36.005 150.67 telephone 1972 28 0 9000 43.735 267.413 apartment building fees 1955 45 0 25000 85.154 944.662 tax for dwelling/land 1977 23 0 70000 346.793 1772.648 s2aq1 = 1 (filter) 1997 3 0 411 1 1586 Sysmiss 3 2000 0 1 2000 2000 0 2 1 3 1999 population point code 11330 0 1 140 73.009 38.658 household identification code 11330 0 1 2400 1211.496 655.692 individual identification code 11330 0 1 2000 2 1969 3 1771 4 1560 5 1252 6 937 7 666 8 428 9 274 10 185 11 114 12 69 13 47 14 22 15 16 16 10 17 3 18 4 19 2 20 1 no. of classes completed 11115 215 0 422 1 453 2 457 3 514 4 582 5 441 6 442 7 622 8 1451 9 491 10 3607 11 1633 Sysmiss 215 highest qualification 7451 3879 0 1 1 1349 2 3725 3 818 4 498 5 535 6 5 7 2 8 25 9 493 Sysmiss 3879 last school 10656 674 1 10616 2 35 3 5 Sysmiss 674 currently studying 10649 681 1 3590 2 7059 Sysmiss 681 level current study 3631 7699 1 250 2 3139 3 41 4 44 5 145 6 2 7 1 8 9 Sysmiss 7699 free school meals 3416 7914 1 253 2 3163 Sysmiss 7914 absent from school? 3180 8150 0 300 2.946 9.454 intending to return? 7138 4192 1 315 2 6823 Sysmiss 4192 reason for discontinued studies 7073 4257 1 5393 2 277 3 100 4 104 5 11 6 5 7 22 8 138 9 1 10 72 11 491 12 459 Sysmiss 4257 tuition & fees 3473 7857 0 375000 1486.394 14603.535 books & supplies 3513 7817 0 50000 2056.124 3314.277 uniforms 3464 7866 0 1085000 4360.337 20239.22 tutors & extra classes 3407 7923 0 62500 52.011 1408.343 transport to school 3419 7911 0 150000 408.049 5154.334 meals & lodgings 3417 7913 0 90000 267.749 3048.756 other 3362 7968 0 1000000 10332.664 30798.514 stipend/scholarship 3338 7992 0 50000 71.36 1127.952 other financial assistance 3405 7925 0 300000 596.652 7225.75 distance to school 3561 7769 0 8000 267.804 372.126 distance unit 3556 7774 1 2350 1.5 1 2 1205 Sysmiss 7774 mode of travel to school 3508 7822 1 3341 2 8 3 128 5 2 6 19 7 6 8 4 Sysmiss 7822 travel time to school (hours) 579 10751 0 24 0.327 1.224 travel time to school (minutes) 3452 7878 0 60 15.574 9.482 absence from school 3473 7857 0 8 1 1285 2 2180 Sysmiss 7857 reason for absence 1267 10063 1 8 2 104 3 19 4 10 5 26 6 59 7 410 8 393 9 192 10 4 11 42 Sysmiss 10063 11330 0 1 11330 11330 0 3 11330 population point code 14101 0 1 140 73.883 38.673 household identification code 14101 0 1 2400 1226.453 655.99 individual identification code 14100 1 1 27 4.751 3.19 general health status 14081 20 1 906 2 10308 3 2145 4 665 5 57 Sysmiss 20 chronic illness 13750 351 1 1337 2 12413 Sysmiss 351 length of illness (months) 220 13881 0 43 0.200000002980232 3 1 23 1.5 2 2 22 2.5 1 3 23 4 14 5 16 6 31 7 15 8 12 9 3 10 6 11 2 12 3 20 1 Sysmiss 13881 length of illness (years) 1243 12858 0 76 9.959 9.87 professional diagnosis? 1358 12743 1 1245 2 113 Sysmiss 12743 part of body affected 1190 12911 1 210 2 187 3 136 4 76 5 171 6 69 7 30 8 152 9 59 10 57 11 43 Sysmiss 12911 0 14101 Sysmiss 14101 days of restricted activity 1325 12776 0 30 8.051 11.886 acute illness 13951 150 1 1137 2 12814 Sysmiss 150 type of acute illness 897 13204 1 408 2 76 3 16 4 118 5 66 6 58 7 22 8 10 9 24 10 6 11 93 Sysmiss 13204 245 13856 1 245 Sysmiss 13856 medical assistance in last 2 we 14019 82 1 793 2 13226 Sysmiss 82 who provided medical assistance 818 13283 1 59 2 692 3 13 4 31 5 1 6 2 7 3 8 14 9 3 Sysmiss 13283 where was assistance received 793 13308 1 203 2 197 3 72 4 118 5 38 6 30 7 90 8 25 9 9 10 6 11 5 Sysmiss 13308 condition for which assistance 549 13552 1 77 2 168 3 44 4 27 5 23 6 26 7 19 8 31 9 1 10 3 11 130 Sysmiss 13552 256 13845 1 252 3 1 8 1 11 2 Sysmiss 13845 transport to consultation 714 13387 1 431 2 16 3 175 4 1 5 2 6 2 7 64 8 7 9 16 Sysmiss 13387 travel time 712 13389 0 30 1 495 2 96 3 16 4 69 5 6 Sysmiss 13389 cost of travel 641 13460 0 25000 450.267 1685.674 official cahrges 762 13339 0 150000 2378.583 10196.448 gifts 624 13477 0 300000 1645.994 13077.373 lack of medical assistance 14026 75 1 750 2 13276 Sysmiss 75 reason for not seeking help 738 13363 1 386 2 62 3 8 4 2 5 11 6 241 8 1 9 27 Sysmiss 13363 prescription ? 830 13271 1 169 2 661 Sysmiss 13271 able to buy prescription? 176 13925 1 113 2 63 Sysmiss 13925 where medication bought 122 13979 1 31 2 89 3 2 Sysmiss 13979 amount paid for medication 115 13986 0 100000 6159.391 13811.52 reason for not buying medicatio 61 14040 1 4 2 51 3 2 4 1 5 3 Sysmiss 14040 other medicine? 13890 211 1 436 2 13454 Sysmiss 211 amount other medicines 454 13647 0 300000 2960.744 15690.82 difficulty in paying for health 13695 406 1 1105 2 1424 3 193 4 10973 Sysmiss 406 borrow 1031 13070 1 778 2 57 3 35 4 16 5 20 6 125 Sysmiss 13070 sell farm animals 365 13736 1 356 2 9 Sysmiss 13736 sell produce 163 13938 1 163 Sysmiss 13938 sell valuables 71 14030 1 71 Sysmiss 14030 other 151 13950 1 151 Sysmiss 13950 none 748 13353 1 748 Sysmiss 13353 hospitalisation in last 12 mont 13901 200 1 720 2 13179 9 1 21 1 Sysmiss 200 condition hospitalised for 533 13568 1 55 2 52 3 52 4 4 5 20 6 12 7 29 8 74 9 1 10 121 11 26 12 87 Sysmiss 13568 218 13883 1 200 2 9 3 3 4 2 5 1 12 3 Sysmiss 13883 type of hospital 725 13376 1 102 2 366 3 135 4 82 5 39 8 1 Sysmiss 13376 mode of travel to hospital 715 13386 1 32 2 293 3 251 4 7 5 115 6 17 Sysmiss 13386 distance to hospital 714 13387 1 600 4.585 24.161 travel time to hospital 715 13386 1 90 2.512 5.668 length of stay 716 13385 1 365 28.443 36.284 type of treatment 715 13386 1 10 2 478 3 120 4 41 6 60 7 5 16 1 Sysmiss 13386 bathing 710 13391 0 9 1 122 2 578 3 1 Sysmiss 13391 toileting 710 13391 0 10 1 182 2 517 3 1 Sysmiss 13391 feeding 711 13390 0 7 1 312 2 392 Sysmiss 13390 providing food 712 13389 0 1 1 667 2 44 Sysmiss 13389 providing linen 712 13389 0 2 1 499 2 211 Sysmiss 13389 providing medicine 713 13388 1 656 2 56 11 1 Sysmiss 13388 administering medicine 711 13390 0 2 1 419 2 290 Sysmiss 13390 providing other supplies 703 13398 0 3 1 312 2 388 Sysmiss 13398 injecting 709 13392 0 3 1 209 2 497 Sysmiss 13392 other medical services 700 13401 0 4 1 134 2 562 Sysmiss 13401 amount spent on food 684 13417 0 225000 12270.341 20859.887 amount spent on medicine 689 13412 0 500000 34446.419 47206.304 amount spent on other supplies 630 13471 0 100000 5572.773 14161.167 hospital charges 596 13505 0 200000 1636.539 10450.319 physician charges 612 13489 0 200000 6426.564 17861.489 ancilliary staff charges 598 13503 0 52500 1746.438 5458.047 amount other gifts/payments 566 13535 0 410000 8633.06 32287.793 if ever denied health services 13816 285 1 103 2 13712 4 1 Sysmiss 285 reason health services denied 106 13995 0 4 1 94 5 8 Sysmiss 13995 14101 0 1 14101 14101 0 2 1 3 14100 population point code 10308 0 1 140 72.75 38.488 household identification code 10308 0 1 2400 1207.01 652.839 individual identification code 10308 0 1 1999 2 1953 3 1606 4 1387 5 1052 6 771 7 526 8 356 9 240 10 166 11 100 12 63 13 40 14 18 15 14 16 11 17 2 18 2 19 1 20 1 10307 1 1 2976 2 7331 Sysmiss 1 7002 3306 1 123 2 6879 Sysmiss 3306 6863 3445 1 243 2 6620 Sysmiss 3445 9665 643 1 530 2 9135 Sysmiss 643 9086 1222 1 230 2 8856 Sysmiss 1222 9662 646 1 1668 2 7994 Sysmiss 646 7938 2370 1 455 2 7483 Sysmiss 2370 9605 703 1 3778 2 5827 Sysmiss 703 5791 4517 1 393 2 5398 Sysmiss 4517 5425 4883 1 84 2 51 3 326 4 74 5 379 6 1952 7 1307 8 642 9 226 10 228 11 156 Sysmiss 4883 3806 6502 1 1933 2 30 3 132 4 59 5 97 6 258 7 110 8 16 9 3 10 139 11 298 12 147 13 211 14 373 Sysmiss 6502 3774 6534 1 2419 2 46 3 652 4 33 5 230 6 279 7 115 Sysmiss 6534 3770 6538 0 34 1 46 2 260 3 97 4 357 5 227 6 414 7 61 8 122 9 1703 10 449 Sysmiss 6538 3747 6561 1 704 2 690 3 45 4 1337 5 4 6 10 7 167 8 88 9 10 10 692 Sysmiss 6561 3720 6588 0 168 39.737 18.445 3210 7098 0 1320000 8006.259 27005.256 3594 6714 0 600000 7061.78 22579.739 3426 6882 0 400000 9815.023 25265.613 3688 6620 0 205 1 527 2 2956 Sysmiss 6620 3099 7209 0 600000 1219.189 11981.97 4722 5586 1 567 2 4155 Sysmiss 5586 555 9753 1 271 3 3 4 6 5 23 6 73 7 20 10 6 11 5 12 8 13 78 14 62 Sysmiss 9753 547 9761 1 127 2 5 3 220 4 3 5 131 6 20 7 41 Sysmiss 9761 539 9769 0 1 1 8 2 18 3 5 4 14 5 79 6 75 7 14 8 9 9 109 10 207 Sysmiss 9769 498 9810 0 500000 13734.817 33909.826 4898 5410 1 3019 2 62 3 207 4 40 5 456 6 494 7 476 8 144 Sysmiss 5410 221 10087 1 37 2 4 3 26 4 5 5 24 6 17 7 11 8 3 10 21 11 24 12 13 13 19 14 17 Sysmiss 10087 251 10057 1 200 2 6 3 19 4 1 5 1 6 8 7 16 Sysmiss 10057 252 10056 0 19 1 2 2 27 3 10 4 33 5 13 6 13 7 16 8 15 9 84 10 20 Sysmiss 10056 249 10059 1 84 2 89 3 8 4 31 6 4 7 15 8 2 9 1 10 15 Sysmiss 10059 228 10080 1 50 7.579 7.875 231 10077 3 8 4 3 5 20 8 200 Sysmiss 10077 230 10078 1 39 2 35 3 4 4 17 5 23 6 22 7 6 8 1 9 8 10 4 11 11 12 12 13 48 Sysmiss 10078 s5aq9 = 2 (filter) 4660 5648 0 89 1 4571 Sysmiss 5648 10308 0 1 10308 10308 0 3 10308 population point code 9654 0 1 140 72.563 38.028 household identification code 9654 0 1 2400 1203.14 644.184 individual identification code 9650 4 1 1995 2 1935 3 1469 4 1200 5 917 6 683 7 485 8 336 9 224 10 151 11 102 12 63 13 38 14 20 15 15 16 12 17 1 18 2 19 1 20 1 Sysmiss 4 9650 4 1 7391 2 2259 Sysmiss 4 2236 7418 0.1 65 16.048 13.516 2233 7421 1 1047 2 261 3 90 4 461 5 6 6 267 7 50 8 15 9 2 10 1 11 25 12 7 13 1 Sysmiss 7421 2204 7450 1 1671 2 119 3 13 4 24 5 81 6 135 7 37 8 124 Sysmiss 7450 2142 7512 0 20 1 18 2 81 3 31 4 125 5 62 6 71 7 28 8 43 9 377 10 142 11 1144 Sysmiss 7512 1053 8601 1 523 2 530 Sysmiss 8601 531 9123 1 140 2 41 3 6 4 77 5 3 6 264 Sysmiss 9123 9654 0 1 9654 9654 0 2 4 3 9650 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 1991 9 1 21 2 1970 Sysmiss 9 19 1981 1 99 66.421 42.135 19 1981 0 5 1 11 2 2 3 1 Sysmiss 1981 20 1980 1 16 2 4 Sysmiss 1980 19 1981 1 1 2 4 3 9 4 5 Sysmiss 1981 19 1981 1 1 2 18 Sysmiss 1981 28 1972 1 3 2 25 Sysmiss 1972 23 1977 1 15 2 8 Sysmiss 1977 0 0 0 0 0 0 21 1979 1 13 2 8 Sysmiss 1979 16 1984 1 4 2 1 3 1 4 3 5 4 6 3 Sysmiss 1984 15 1985 1 8 2 5 3 2 Sysmiss 1985 20 1980 1 8 2 12 Sysmiss 1980 11 1989 1 2 2 1 3 2 4 2 5 3 6 1 Sysmiss 1989 10 1990 1 1 2 7 3 2 Sysmiss 1990 19 1981 1 1 2 18 Sysmiss 1981 7 1993 1 1 2 1 3 2 4 1 5 1 6 1 Sysmiss 1993 5 1995 2 4 3 1 Sysmiss 1995 20 1980 1 8 2 12 Sysmiss 1980 9 1991 0 1 2 1 3 1 4 2 5 2 6 2 Sysmiss 1991 11 1989 1 3 2 5 3 2 6 1 Sysmiss 1989 20 1980 1 1 2 19 Sysmiss 1980 4 1996 3 2 4 1 5 1 Sysmiss 1996 5 1995 2 4 3 1 Sysmiss 1995 20 1980 1 8 2 12 Sysmiss 1980 10 1990 2 10 Sysmiss 1990 8 1992 1 1 2 1 3 3 4 1 5 1 6 1 Sysmiss 1992 8 1992 2 6 3 2 Sysmiss 1992 21 1979 1 4 2 17 Sysmiss 1979 7 1993 2 7 Sysmiss 1993 5 1995 3 3 4 1 5 1 Sysmiss 1995 6 1994 2 5 3 1 Sysmiss 1994 21 1979 1 3 2 18 Sysmiss 1979 7 1993 2 7 Sysmiss 1993 5 1995 3 3 4 1 5 1 Sysmiss 1995 6 1994 2 5 3 1 Sysmiss 1994 21 1979 1 5 2 16 Sysmiss 1979 7 1993 2 7 Sysmiss 1993 5 1995 3 3 4 1 5 1 Sysmiss 1995 6 1994 2 5 3 1 Sysmiss 1994 20 1980 1 1 2 19 Sysmiss 1980 7 1993 2 7 Sysmiss 1993 4 1996 1 1 3 1 4 1 5 1 Sysmiss 1996 5 1995 1 1 2 4 Sysmiss 1995 21 1979 1 16 2 5 Sysmiss 1979 16 1984 1 6 2 10 Sysmiss 1984 9 1991 1 1 3 5 4 1 5 1 6 1 Sysmiss 1991 10 1990 1 1 2 7 3 2 Sysmiss 1990 21 1979 1 16 2 5 Sysmiss 1979 15 1985 1 5 2 10 Sysmiss 1985 10 1990 1 1 3 6 4 1 5 1 6 1 Sysmiss 1990 11 1989 2 8 3 3 Sysmiss 1989 21 1979 0 1 1 5 2 15 Sysmiss 1979 8 1992 2 8 Sysmiss 1992 6 1994 1 1 3 2 4 1 5 2 Sysmiss 1994 7 1993 2 7 Sysmiss 1993 20 1980 0 1 1 8 2 11 Sysmiss 1980 8 1992 1 2 2 6 Sysmiss 1992 6 1994 3 2 4 1 5 2 6 1 Sysmiss 1994 7 1993 2 6 3 1 Sysmiss 1993 10 1990 1 4 2 6 Sysmiss 1990 5 1995 3 2 4 1 5 1 6 1 Sysmiss 1995 5 1995 2 4 3 1 Sysmiss 1995 9 1991 1 4 2 5 Sysmiss 1991 5 1995 3 2 4 1 5 1 6 1 Sysmiss 1995 5 1995 2 4 3 1 Sysmiss 1995 10 1990 1 5 2 5 Sysmiss 1990 4 1996 3 2 4 1 5 1 Sysmiss 1996 5 1995 2 4 3 1 Sysmiss 1995 2000 0 1 2000 2000 0 2 9 3 1991 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 2000 0 0 1320000 17063.978 42287.855 2000 0 0 50000 145.95 1958.732 2000 0 0 300000 395.95 8883.53 2000 0 0 1000000 8595.601 37574.65 2000 0 0 1000000 15162.734 49343.764 2000 0 0 275000 1481.554 10760.954 2000 0 0 100000 113.25 2844.969 2000 0 0 170000 624.3 6795.239 2000 0 0 200000 1040.845 8673.707 2000 0 0 650000 6296.824 26779.307 2000 0 0 96000 2483.826 7913.022 2000 0 0 100000 71.251 2274.068 2000 0 0 600000 2896.973 18277.985 1992 8 1 683 2 1309 Sysmiss 8 685 1315 0 49000 3964.742 3568.097 657 1343 0 49000 2069.613 3675.412 668 1332 0 80000 1412.052 5939.605 458 1542 0 8 1 10 2 431 3 3 5 6 Sysmiss 1542 1983 17 0 7 1 229 2 1747 Sysmiss 17 223 1777 0 20000 3535.892 3177.622 221 1779 0 19000 1911.602 3138.284 231 1769 0 47500 665.247 3827.422 152 1848 0 2 1 13 2 129 4 2 5 6 Sysmiss 1848 1990 10 0 5 1 121 2 1864 Sysmiss 10 120 1880 2 33000 4609.017 5065.48 119 1881 0 60000 2167.807 5971.031 133 1867 0 48000 2118.03 7892.63 80 1920 0 1 1 3 2 73 5 3 Sysmiss 1920 1988 12 0 6 1 52 2 1930 Sysmiss 12 54 1946 0 45000 5689.037 6779.311 51 1949 0 17000 3324.745 4443.078 70 1930 0 46500 1108.486 5977.298 27 1973 0 1 2 24 5 2 Sysmiss 1973 1903 97 0 5 1 9 2 1889 Sysmiss 97 11 1989 0 15000 2705.636 4249.805 8 1992 0 15000 2590 5215.274 32 1968 0 25 1 1 2 1 3 2 4 2 12 1 Sysmiss 1968 8 1992 2 8 Sysmiss 1992 1992 8 0 6 1 7 2 1979 Sysmiss 8 7 1993 0 6000 1714.571 2214.412 8 1992 0 3000 375 1060.66 28 1972 0 126000 4500.143 23811.734 7 1993 1 2 2 5 Sysmiss 1993 1991 9 0 6 1 19 2 1966 Sysmiss 9 20 1980 0 20000 1875.7 4318.779 18 1982 0 1000 55.556 235.702 42 1958 0 18000 596.31 2837.319 19 1981 1 9 2 10 Sysmiss 1981 1992 8 0 8 1 92 2 1892 Sysmiss 8 76 1924 0 6000 1106.605 908.789 73 1927 0 6000 363.041 1041.691 79 1921 0 10000 254.759 1580.626 82 1918 0 1 1 43 2 30 5 8 Sysmiss 1918 1993 7 0 11 1 4 2 1978 Sysmiss 7 9 1991 0 3500 800 1182.159 7 1993 0 1200 314.286 539.841 31 1969 0 30 1 1 Sysmiss 1969 5 1995 0 2 2 3 Sysmiss 1995 1993 7 0 11 1 5 2 1977 Sysmiss 7 10 1990 0 7000 1750 2324.388 8 1992 0 7000 1187.5 2506.242 32 1968 0 30 3 1 4 1 Sysmiss 1968 5 1995 0 1 1 1 2 3 Sysmiss 1995 1993 7 0 12 1 3 2 1978 Sysmiss 7 8 1992 0 20000 3875 7376.362 6 1994 0 20000 5000 8366.6 29 1971 0 28 9 1 Sysmiss 1971 3 1997 0 1 2 2 Sysmiss 1997 1992 8 0 11 2 1981 Sysmiss 8 5 1995 0 5 Sysmiss 1995 3 1997 0 3 Sysmiss 1997 27 1973 0 27 Sysmiss 1973 2 1998 0 1 2 1 Sysmiss 1998 1993 7 0 11 1 1 2 1981 Sysmiss 7 6 1994 0 12000 2000 4898.979 4 1996 0 12000 3000 6000 28 1972 0 27 2 1 Sysmiss 1972 3 1997 0 1 2 2 Sysmiss 1997 1993 7 0 11 1 1 2 1981 Sysmiss 7 5 1995 0 5 Sysmiss 1995 3 1997 0 3 Sysmiss 1997 27 1973 0 27 Sysmiss 1973 2 1998 0 1 2 1 Sysmiss 1998 1992 8 0 11 1 12 2 1969 Sysmiss 8 15 1985 0 6000 1473.333 1564.091 15 1985 0 6000 1140 1610.59 37 1963 0 34 6 1 7 1 9 1 Sysmiss 1963 5 1995 0 1 2 4 Sysmiss 1995 total income of household 1973 27 0 2500000 58385.028 96285.596 total income of household (rang 62 1938 1 4 2 1 3 2 4 2 5 1 6 3 7 4 8 8 9 5 10 9 11 12 12 3 13 3 14 2 15 3 Sysmiss 1938 2000 0 1 2000 2000 0 3 2000 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 2000 0 0 195000 34543.398 26362.276 2000 0 0 64000 375.855 2912.563 2000 0 0 60000 630.552 2170.965 2000 0 0 20000 234.225 1161.633 2000 0 0 42000 2669.538 2797.084 2000 0 0 80000 1325.318 3672.315 2000 0 0 212500 868.26 6212.565 2000 0 0 16000 65.926 611.603 2000 0 0 5000 81.171 333.583 2000 0 0 20000 11.25 449.555 2000 0 0 125000 742.975 5079.187 2000 0 0 800000 18031.944 36967.69 2000 0 0 800000 38663.049 59501.041 2000 0 0 300000 2577.565 15285.551 2000 0 0 3000000 5190.425 73924.355 2000 0 0 156250 3146.802 8082.195 2000 0 0 230000 293.013 6070.831 2000 0 0 3000000 8560.017 87330.952 2000 0 0 500000 2274.939 18199.788 2000 0 0 2500000 22154.892 88805.928 2000 0 0 300000 3565.164 15571.028 2000 0 0 700000 13023.64 26333.122 2000 0 0 10000000 34136.425 284742.538 2000 0 0 2000000 12509.251 86141.795 total household expenditure 2000 0 0 285000 42705.588 33433.227 1999 1 0 1762 1 9 2 5 3 5 4 6 6 1 7 211 Sysmiss 1 234 1766 0.5 80 20.134 15.79 234 1766 1 46 2 182 4 1 5 5 Sysmiss 1766 2000 0 0 22000 517.465 2196.353 6 1994 250 8400 3650 3098.387 46 1954 1000 30000 6040.217 4933.25 1999 1 0 1637 1 11 2 37 3 8 4 4 5 2 6 2 7 298 Sysmiss 1 363 1637 0.5 84 10.691 10.653 363 1637 1 49 2 299 4 4 5 11 Sysmiss 1637 299 1701 200 22000 3084.699 2548.716 15 1985 200 10500 2180 2644.455 49 1951 950 24000 5269.796 4214.347 1999 1 0 310 1 59 2 119 3 143 4 61 5 27 6 4 7 1276 Sysmiss 1 1690 310 0.2 150 19.751 15.277 1690 310 1 426 2 1134 3 7 4 56 5 67 Sysmiss 310 1134 866 50 37500 4695.655 3928.093 131 1869 100 15000 4748.992 3661.273 426 1574 200 24000 6683.3 4347.024 1999 1 0 1806 1 16 2 18 3 9 4 9 5 1 7 140 Sysmiss 1 194 1806 0.5 100 17.188 15.87 194 1806 1 94 2 89 4 3 5 8 Sysmiss 1806 89 1911 200 21000 5421.742 4643.237 11 1989 200 8400 2506.364 2399.551 95 1905 120 20000 3764.316 4062.942 1999 1 0 538 1 312 2 414 3 310 4 207 5 66 6 20 7 132 Sysmiss 1 1462 538 0.1 25 3.331 2.501 1462 538 1 176 2 1183 3 6 4 42 5 55 Sysmiss 538 1183 817 80 10000 1560.967 1091.528 103 1897 200 4800 1360.922 998.496 176 1824 300 10000 2396.847 1741.167 1999 1 0 762 1 164 2 403 3 332 4 181 5 35 6 17 7 105 Sysmiss 1 1235 765 0.1 16 1.704 1.386 1236 764 1 8 2 1210 3 4 4 2 5 12 Sysmiss 764 1206 794 40 6000 747.066 580.911 18 1982 100 1000 388.889 234.869 8 1992 150 1200 600 363.515 1999 1 0 1908 1 17 2 18 3 15 4 6 5 1 6 1 7 33 Sysmiss 1 91 1909 0.2 50 4.237 8.14 91 1909 1 15 2 71 5 5 Sysmiss 1909 71 1929 100 7000 838.451 969.758 5 1995 600 2000 1110 648.46 15 1985 150 6500 1264.667 1597.927 1999 1 0 174 1 4 2 11 3 21 4 23 5 24 6 20 7 1722 Sysmiss 1 1825 175 0.2 30 3.138 2.185 1824 176 1 569 2 1207 3 6 4 1 5 41 Sysmiss 176 1218 782 20 5000 662.263 541.345 40 1960 50 1000 395.5 246.794 562 1438 50 9000 758.007 698.815 1999 1 0 299 1 10 2 77 3 123 4 233 5 237 6 76 7 944 Sysmiss 1 1700 300 0.1 50 4.851 4.348 1700 300 1 538 2 1116 3 5 5 41 Sysmiss 300 1117 883 100 8000 898.335 690.107 46 1954 100 1250 611.739 322.341 533 1467 100 10500 1182.045 1182.89 1999 1 0 1142 1 4 2 17 3 32 4 24 5 56 6 17 7 707 Sysmiss 1 855 1145 0.01 10 0.51 0.749 855 1145 1 535 2 294 5 26 Sysmiss 1145 293 1707 40 4800 425.631 498.626 27 1973 50 1000 277.778 197.257 531 1469 15 4000 321.827 314.063 1999 1 0 436 1 71 2 162 3 180 4 199 5 146 6 68 7 737 Sysmiss 1 1561 439 0.1 20 3.534 2.495 1557 443 1 415 2 1098 3 5 4 1 5 38 Sysmiss 443 1110 890 0.5 2000 241.032 231.03 38 1962 30 1000 221.579 179.978 407 1593 10 2500 309.361 325.045 1999 1 0 854 1 79 2 289 3 227 4 188 5 84 6 23 7 255 Sysmiss 1 1144 856 0.05 10 1.391 1.176 1144 856 1 463 2 640 3 2 4 3 5 36 Sysmiss 856 634 1366 10 3600 383.628 290.448 41 1959 40 1200 343.659 248.09 455 1545 30 4000 469.89 463.121 1999 1 0 1459 1 19 2 54 3 48 4 42 5 17 6 2 7 358 Sysmiss 1 537 1463 0.1 15 2.055 2.139 535 1465 1 292 2 224 3 2 5 17 Sysmiss 1465 224 1776 50 5000 421.808 528.628 19 1981 10 1000 424.211 319.589 297 1703 20 4000 410.774 454.966 1999 1 0 1968 1 7 2 12 3 3 5 1 7 8 Sysmiss 1 31 1969 0.5 8 2 1.576 31 1969 1 4 2 27 Sysmiss 1969 27 1973 300 7000 1590.741 1418.696 0 2000 Sysmiss 2000 4 1996 300 1000 725 298.608 1999 1 0 1981 1 2 2 7 3 2 4 2 5 1 7 4 Sysmiss 1 18 1982 0.1 6 1.061 1.36 18 1982 1 1 2 15 5 2 Sysmiss 1982 15 1985 100 2500 853.333 711.002 2 1998 200 400 300 141.421 1 1999 600 1 Sysmiss 1999 1999 1 0 1997 4 1 7 1 Sysmiss 1 2 1998 1 1 3 1 Sysmiss 1998 2 1998 2 2 Sysmiss 1998 2 1998 1000 3800 2400 1979.899 0 2000 Sysmiss 2000 0 2000 Sysmiss 2000 1999 1 0 1960 1 10 2 12 3 7 4 3 5 4 7 3 Sysmiss 1 39 1961 0.5 5 1.974 1.164 39 1961 1 4 2 35 Sysmiss 1961 35 1965 200 2700 891.429 572.467 0 2000 Sysmiss 2000 4 1996 300 1750 887.5 645.981 1999 1 0 1730 1 59 2 60 3 48 4 25 5 10 7 67 Sysmiss 1 269 1731 0.2 8 1.219 0.956 269 1731 1 68 2 193 4 1 5 7 Sysmiss 1731 194 1806 100 9000 1263.608 1163.354 8 1992 300 2000 1087.5 640.173 67 1933 150 5000 1005.224 842.222 1999 1 0 1915 1 18 2 28 3 5 4 5 5 7 6 2 7 19 Sysmiss 1 84 1916 0.1 35 2.548 3.845 84 1916 1 61 2 22 5 1 Sysmiss 1916 22 1978 150 6000 1206.818 1291.39 1 1999 500 1 Sysmiss 1999 61 1939 30 6000 830.082 1063.498 1999 1 0 1052 1 112 2 171 3 133 4 109 5 45 6 12 7 365 Sysmiss 1 944 1056 0.1 13 1.546 1.152 944 1056 1 33 2 896 3 1 5 14 Sysmiss 1056 900 1100 130 75000 2145.492 3118.164 15 1985 300 5200 1957.333 1562.902 28 1972 250 13000 2621.429 2713.04 1999 1 0 1933 1 25 2 21 3 9 4 5 5 1 6 1 7 4 Sysmiss 1 66 1934 0.5 7 1.697 1.088 66 1934 1 52 2 13 5 1 Sysmiss 1934 13 1987 1400 6000 3038.462 1362.313 1 1999 2500 1 Sysmiss 1999 52 1948 500 14000 2895.192 2115.819 1999 1 0 1908 1 21 2 19 3 13 4 7 5 4 7 27 Sysmiss 1 91 1909 0.1 15 2.003 1.892 91 1909 1 30 2 57 5 4 Sysmiss 1909 57 1943 170 6800 2548.158 1522.465 4 1996 700 4500 3550 1900 30 1970 360 27000 4383.667 5025.233 1999 1 0 1992 1 3 2 1 3 3 Sysmiss 1 7 1993 0.3 3 1.186 0.89 7 1993 1 5 2 2 Sysmiss 1993 2 1998 600 1800 1200 848.528 0 2000 Sysmiss 2000 5 1995 980 4500 2446 1379.159 1999 1 0 1961 1 9 2 11 3 3 4 3 5 2 7 10 Sysmiss 1 38 1962 0.25 15 1.87 2.597 38 1962 1 12 2 26 Sysmiss 1962 26 1974 400 4000 1678.846 1061.525 0 2000 Sysmiss 2000 12 1988 350 18000 4704.167 5151.543 1999 1 0 1961 1 24 2 11 7 3 Sysmiss 1 38 1962 0.1 6 1.955 1.378 38 1962 1 8 2 27 4 1 5 2 Sysmiss 1962 27 1973 120 5000 1432.222 1094.442 3 1997 350 5000 2283.333 2421.948 8 1992 500 3000 1543.75 1039.037 1999 1 0 1218 1 109 2 178 3 146 4 100 5 33 6 5 7 210 Sysmiss 1 777 1223 1 70 11.757 8.726 774 1226 1 450 2 299 3 1 4 2 5 22 Sysmiss 1226 302 1698 100 8500 837.517 813.301 24 1976 140 1800 554.167 406.276 452 1548 50 6000 832.069 768.066 1999 1 0 710 1 86 2 156 3 114 4 78 5 32 6 8 7 815 Sysmiss 1 1287 713 0.5 56 7.238 7.107 1287 713 1 772 2 399 3 6 4 6 5 104 Sysmiss 713 399 1601 30 10000 568.584 696.732 115 1885 85 2000 405.043 339.755 773 1227 60 15000 1278.325 1218.355 1999 1 0 1166 1 69 2 121 3 119 4 115 5 27 6 13 7 369 Sysmiss 1 833 1167 0.1 40 3.464 4.161 833 1167 1 420 2 323 3 6 4 20 5 64 Sysmiss 1167 323 1677 40 3500 399.659 430.114 90 1910 50 4000 650.444 706.079 420 1580 50 16000 1156.726 1500.936 1999 1 0 7 6.444 1.654 1912 88 0.1 15 1.605 1.093 1912 88 1 84 2 1715 3 4 4 72 5 37 Sysmiss 88 1715 285 85 12750 1502.956 1005.625 113 1887 70 6500 1318.85 1136.228 84 1916 200 5950 1605.536 1071.583 1999 1 0 32 1 4 2 2 5 1 6 2 7 1958 Sysmiss 1 1967 33 0.005 1 0.201 0.152 1967 33 1 4 2 1912 3 5 4 15 5 31 Sysmiss 33 1924 76 20 7000 517.928 430.337 40 1960 100 2600 556.875 539.319 3 1997 150 400 266.667 125.831 1999 1 0 33 1 6 2 5 3 4 4 4 5 2 6 3 7 1942 Sysmiss 1 1965 35 0.005 12 0.905 0.774 1964 36 1 41 2 1857 3 3 4 27 5 36 Sysmiss 36 1860 140 0.5 600 65.269 56.697 64 1936 10 200 57.578 47.842 41 1959 20 300 108.659 97.833 1999 1 0 693 1 22 2 51 3 96 4 78 5 34 6 8 7 1017 Sysmiss 1 1305 695 0.1 10 1.389 0.909 1305 695 1 1 2 1266 4 26 5 12 Sysmiss 695 1267 733 25 4800 853.728 553.948 38 1962 300 6500 847.368 1029.898 0 2000 Sysmiss 2000 1999 1 0 1705 1 53 2 64 3 60 4 27 5 10 6 2 7 78 Sysmiss 1 293 1707 0.1 4 0.972 0.653 293 1707 1 7 2 283 4 1 5 2 Sysmiss 1707 283 1717 40 6000 876.159 755.535 3 1997 1000 4000 2200 1587.451 7 1993 200 3000 1314.286 952.94 no. of meals per day (av in las 1987 13 0 14 0.5 1 1 234 2 443 3 1267 4 18 5 3 7 6 8 1 Sysmiss 13 stock of flour (kg) 1989 11 0 560 23.577 38.207 stock of fruit (kg) 1978 22 0 50 0.0766 1.23 stock of veg (kg) 1991 9 0 900 12.647 47.362 stock of beans (kg) 1990 10 0 100 1.719 5.485 stock of preserved fruit 1977 23 0 70 0.29 2.355 stock of dried fruit 1989 11 0 500 4.46 17.906 stock of rice (kg) 1981 19 0 1200 17.529 56.897 stock of wheat (kg) 1995 5 0 100 2.223 3.967 stock of oils/fats 1988 12 0 100 0.76 3.103 stock of sugar/preserves 1 1999 0 1 Sysmiss 1999 perceived situation regarding f 1999 1 1 701 2 929 3 369 Sysmiss 1 needed to shift to cheaper food 1988 12 1 1700 2 288 Sysmiss 12 reduce no. of meals a day 1988 12 1 874 2 1114 Sysmiss 12 eat smaller portions 1989 11 1 910 2 1079 Sysmiss 11 find other work 1984 16 1 678 2 1306 Sysmiss 16 sell household assets 1981 19 1 547 2 1434 Sysmiss 19 borrow 1982 18 1 669 2 1313 Sysmiss 18 beg 1977 23 1 49 2 1928 Sysmiss 23 send children to relatives 1971 29 1 95 2 1876 Sysmiss 29 move within tajikistan 1982 18 1 30 2 1952 Sysmiss 18 move outside tajikistan 1980 20 1 53 2 1927 Sysmiss 20 next 6 mths shift to cheaper fo 1993 7 1 1756 2 237 Sysmiss 7 next 6mths reduce meals 1989 11 1 813 2 1176 Sysmiss 11 next 6mths eat smaller portions 1992 8 1 795 2 1197 Sysmiss 8 next 6mths find other work 1992 8 1 698 2 1294 Sysmiss 8 next 6mths sell hhold assets 1988 12 1 452 2 1536 Sysmiss 12 next 6mths borrow 1987 13 1 565 2 1422 Sysmiss 13 next 6mths beg 1985 15 1 45 2 1940 Sysmiss 15 next 6mths send children to rel 1972 28 1 72 2 1900 Sysmiss 28 next 6mth move within tajikista 1987 13 1 27 2 1960 Sysmiss 13 next 6mths move outside tajikis 1985 15 1 50 2 1935 Sysmiss 15 satisfaction with current finan 1999 1 1 14 2 678 3 1105 4 202 Sysmiss 1 next 6 months better or worse? 1996 4 1 47 2 879 3 756 4 271 5 43 Sysmiss 4 concern over provision of basic 1996 4 1 1529 2 359 3 68 4 37 5 3 Sysmiss 4 self assessed relative poverty 1999 1 1 224 2 456 3 611 4 396 5 265 6 35 7 11 9 1 Sysmiss 1 2000 0 1 2000 2000 0 3 2000 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 1998 2 1 1817 2 181 Sysmiss 2 1799 201 43 99 85.649 8.633 1999 1 1 52 2 1947 Sysmiss 1 1993 7 1 959 2 1034 Sysmiss 7 948 1052 54 99 86.376 9.243 1994 6 1 9 2 1985 Sysmiss 6 1999 1 1 864 2 1135 Sysmiss 1 858 1142 2 99 82.275 8.693 1995 5 1 17 2 1978 Sysmiss 5 1995 5 1 98 2 1897 Sysmiss 5 100 1900 64 99 84.84 7.652 1990 10 1 1 2 1989 Sysmiss 10 1996 4 1 479 2 1517 Sysmiss 4 475 1525 8 99 83.225 8.565 1990 10 1 5 2 1985 Sysmiss 10 1998 2 1 1196 2 802 Sysmiss 2 1189 811 40 99 77.003 10.864 1991 9 1 14 2 1977 Sysmiss 9 1996 4 1 137 2 1859 Sysmiss 4 134 1866 65 99 87.754 6.489 1989 11 1 2 2 1987 Sysmiss 11 1997 3 1 561 2 1436 Sysmiss 3 558 1442 63 99 91.353 6.517 1989 11 1 13 2 1976 Sysmiss 11 1998 2 1 432 2 1566 Sysmiss 2 426 1574 60 99 84.115 8.921 1985 15 1 4 2 1981 Sysmiss 15 1997 3 1 1199 2 798 Sysmiss 3 1190 810 56 99 83.755 7.713 1992 8 1 21 2 1971 Sysmiss 8 1997 3 1 372 2 1625 Sysmiss 3 368 1632 75 99 91.163 5.31 1992 8 1 6 2 1986 Sysmiss 8 1995 5 1 132 2 1863 Sysmiss 5 132 1868 78 99 94.818 3.77 1990 10 1 4 2 1986 Sysmiss 10 1996 4 1 29 2 1967 Sysmiss 4 29 1971 70 99 89.931 8.388 1990 10 2 1990 Sysmiss 10 1996 4 1 285 2 1711 Sysmiss 4 283 1717 68 99 88.989 6.774 1991 9 1 6 2 1985 Sysmiss 9 1995 5 1 124 2 1871 Sysmiss 5 123 1877 63 99 86.211 7.162 1987 13 1 3 2 1984 Sysmiss 13 1996 4 1 244 2 1752 Sysmiss 4 245 1755 65 99 86.922 7.545 1988 12 1 18 2 1970 Sysmiss 12 2000 0 1 2000 2000 0 3 2000 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 1958 42 0 2000 13.299 48.224 1777 223 0 6000 11.794 142.306 1588 412 0 1970 78.004 96.228 1596 404 0 5 1 1570 2 21 Sysmiss 404 1599 401 0 4 1 342 2 199 3 823 4 195 5 36 Sysmiss 401 1634 366 0 50 0.0889 1.494 30 1970 0 25000 870.033 4561.84 1631 369 0 10 0.00632 0.248 20 1980 0 5000 350.05 1181.999 1525 475 0 65 4.706 6.585 1615 385 0 65 7.211 6.612 1305 695 0 44 1 800 2 12 3 45 4 90 5 276 6 38 Sysmiss 695 1861 139 0 2000 7.126 59.401 695 1305 0 2000 9.761 83.17 61 1939 0 99 82.607 34.727 60 1940 0 7 1 45 2 8 Sysmiss 1940 55 1945 0 4 1 17 3 29 5 5 Sysmiss 1945 1035 965 0 150 0.861 8.76 24 1976 0 12 1 7 2 2 4 3 Sysmiss 1976 951 1049 0 1000 5.595 43.786 23 1977 0 1300000 126521.739 281386.32 941 1059 0 941 Sysmiss 1059 4 1996 0 4 Sysmiss 1996 675 1325 0 2000 10.167 91.781 502 1498 0 2000 16.157 107.604 70 1930 0 7 1 48 3 1 4 9 5 5 Sysmiss 1930 1902 98 0 5000 30.425 136.678 1158 842 0 7500 40.917 273.114 645 1355 0 962 96.817 49.427 645 1355 0 6 1 510 2 129 Sysmiss 1355 645 1355 0 3 1 135 2 6 3 469 4 1 5 31 Sysmiss 1355 1353 647 0 7500 24.526 249.186 469 1531 0 23 1 275 2 122 3 2 4 47 Sysmiss 1531 1293 707 0 3000 11.717 95.428 135 1865 0 1040000 29264.311 99068.492 1278 722 0 100 0.141 3.581 24 1976 0 600000 70449.958 152594.991 1084 916 0 6000 30.246 190.348 982 1018 0 5000 15.874 161.987 477 1523 0 34 1 372 2 1 3 18 4 16 5 16 6 20 Sysmiss 1523 1864 136 0 900 6.468 30.503 857 1143 0 900 9.051 40.236 292 1708 0 944 94.955 52.991 295 1705 0 7 1 230 2 58 Sysmiss 1705 292 1708 0 4 1 92 2 3 3 169 4 3 5 21 Sysmiss 1708 1194 806 0 900 4.288 31.891 227 1773 0 16 1 136 2 32 4 43 Sysmiss 1773 1112 888 0 300 2.979 17.14 70 1930 0 1800000 57908.357 219604.416 1098 902 0 1096 5 1 15 1 Sysmiss 902 19 1981 0 200000 26213.158 59697.636 853 1147 0 2000 9.547 73.607 694 1306 0 230 6.215 19.496 263 1737 0 7 1 175 2 1 3 14 4 32 5 22 6 12 Sysmiss 1737 1866 134 0 1000 3.385 34.369 666 1334 0 400 2.102 18.829 38 1962 0 98 44.316 44.789 30 1970 0 8 1 7 2 15 Sysmiss 1970 25 1975 0 5 1 7 3 4 4 6 5 3 Sysmiss 1975 1033 967 0 100 0.298 4.793 19 1981 0 11 1 2 3 3 4 3 Sysmiss 1981 854 1146 0 80 0.0937 2.738 4 1996 0 5000 1250 2500 843 1157 0 842 20 1 Sysmiss 1157 3 1997 0 3 Sysmiss 1997 564 1436 0 100 0.816 6.969 461 1539 0 50 0.292 3.092 16 1984 0 9 1 6 5 1 Sysmiss 1984 1868 132 0 400 2.681 17.414 684 1316 0 314 1.902 15.381 45 1955 0 99 70.622 35.848 46 1954 0 7 1 29 2 10 Sysmiss 1954 42 1958 0 5 1 15 2 2 3 14 4 3 5 3 Sysmiss 1958 1047 953 0 100 0.363 4.142 28 1972 0 12 1 3 2 3 4 10 Sysmiss 1972 938 1062 0 400 1.409 15.871 18 1982 0 500000 84496.389 144832.466 928 1072 0 928 Sysmiss 1072 6 1994 0 45000 11500 19013.153 799 1201 0 100 0.932 8.411 483 1517 0 100 2.213 12.294 39 1961 0 7 1 20 3 1 4 7 5 4 Sysmiss 1961 1866 134 0 150 0.22 4.443 658 1342 0 150 0.35 6.623 11 1989 0 96 17.091 38.035 12 1988 0 8 1 2 2 2 Sysmiss 1988 7 1993 0 5 3 2 Sysmiss 1993 1005 995 0 1005 Sysmiss 995 10 1990 0 10 Sysmiss 1990 813 1187 0 813 Sysmiss 1187 3 1997 0 3 Sysmiss 1997 803 1197 0 803 Sysmiss 1197 3 1997 0 3 Sysmiss 1997 523 1477 0 523 Sysmiss 1477 445 1555 0 150 0.337 7.111 7 1993 0 6 6 1 Sysmiss 1993 1865 135 0 600 0.917 15.514 654 1346 0 638 2 1 3 1 4 1 5 1 6 3 7 1 8 5 15 2 20 1 Sysmiss 1346 29 1971 0 99 64.966 44.738 32 1968 0 10 1 19 2 3 Sysmiss 1968 24 1976 0 5 1 8 2 1 3 9 4 1 Sysmiss 1976 1026 974 0 1009 4 2 5 1 6 3 7 1 8 4 10 1 12 2 15 2 20 1 Sysmiss 974 26 1974 0 9 1 14 4 3 Sysmiss 1974 807 1193 0 250 0.688 11.473 8 1992 0 261000 63468.75 91521.898 835 1165 0 835 Sysmiss 1165 5 1995 0 35000 7000 15652.476 562 1438 0 540 1 2 2 4 3 1 4 2 5 3 6 2 8 2 10 1 12 1 15 2 20 2 Sysmiss 1438 491 1509 0 250 1.554 14.818 42 1958 0 8 1 22 3 1 5 11 Sysmiss 1958 1751 249 0 480000 11237.334 25291.651 1679 321 0 36 1 21 2 1620 4 2 Sysmiss 321 140 1860 0 100000 2930.421 12617.477 1483 517 0 125000 5478.471 10417.336 1629 371 1 79 2 1550 Sysmiss 371 222 1778 0 1625000 21525.423 118046.501 1461 539 0 1500000 15780.491 55492.093 1591 409 0 1000000 53557.904 94331.956 1558 442 0 1600000 78852.362 133021.139 1818 182 1 1096 2 722 Sysmiss 182 1178 822 0 1100000 18556.246 45658.475 1118 882 0 60000 1003.158 3608.814 1124 876 0 1100000 47510.513 91722.955 1084 916 0 585000 17982.761 51693.433 1139 861 0 800000 62577.812 103968.052 1988 12 0 1 1 1047 2 940 Sysmiss 12 1043 957 1 341 2 481 3 102 4 76 5 18 6 16 7 3 8 4 9 1 10 1 Sysmiss 957 1044 956 60 15000000 224904.49 532323.218 1049 951 0 1 1 96 2 952 Sysmiss 951 95 1905 0 40 1.621 4.024 93 1907 0 5000000 189369.688 514971.545 1977 23 0 1 1 496 2 1480 Sysmiss 23 501 1499 0 100 1.603 4.81 509 1491 0 7000000 160757.32 344167.376 1971 29 1 2 2 1969 Sysmiss 29 4 1996 0 2 1 1 10 1 Sysmiss 1996 2 1998 200000 1000000 600000 565685.425 80 1920 2 80 Sysmiss 1920 2 1998 0 1 2 1 Sysmiss 1998 0 2000 Sysmiss 2000 1952 48 0 2 1 2 2 1948 Sysmiss 48 1 1999 2 1 Sysmiss 1999 2 1998 2 140000 70001 98993.535 1970 30 1 398 2 1572 Sysmiss 30 400 1600 0 70 3.88 5.091 395 1605 50 3000000 98612.258 185850.867 440 1560 1 43 2 397 Sysmiss 1560 43 1957 0 29000 676 4422.212 41 1959 0 375000 67072.274 69371.606 1960 40 0 2 1 160 2 1798 Sysmiss 40 159 1841 1 30 2.365 2.759 160 1840 2 1875000 87867.513 166599.682 1975 25 0 2 1 105 2 1868 Sysmiss 25 107 1893 0 2 1 90 2 11 3 3 4 1 Sysmiss 1893 105 1895 70 2600000 171719.371 292054.448 175 1825 1 8 2 167 Sysmiss 1825 11 1989 0 2 1 8 2 1 Sysmiss 1989 8 1992 14000 140000 80500 35964.268 1958 42 1 18 2 1940 Sysmiss 42 17 1983 1 16 2 1 Sysmiss 1983 18 1982 2 250000 92777.889 59980.752 1978 22 0 8 1 293 2 1677 Sysmiss 22 293 1707 0 25 1.195 1.457 293 1707 30 400000 48558.123 40861.196 350 1650 1 19 2 331 Sysmiss 1650 21 1979 0 32000 1524.762 6982.754 18 1982 4000 90000 41761.111 26159.199 1960 40 0 1 1 21 2 1938 Sysmiss 40 20 1980 1 19 2 1 Sysmiss 1980 21 1979 2 150000 43404.857 30893.07 1978 22 -30 2 1.808 0.811 347 1653 0 41 3.873 3.68 345 1655 10 820000 43553.901 56031.936 385 1615 0 1 1 15 2 368 11 1 Sysmiss 1615 17 1983 1 50000 2942.647 12126.402 16 1984 5 39000 19297.188 11478.848 1960 40 0 1 1 88 2 1871 Sysmiss 40 87 1913 1 28 2 30 3 12 4 6 5 4 6 2 7 1 8 1 9 1 14 1 20 1 Sysmiss 1913 88 1912 2 400000 37222.75 49118.633 1934 66 0 1 1 41 2 1892 Sysmiss 66 43 1957 0 25 5.116 5.279 41 1959 400 200000 18250 42826.111 116 1884 1 8 2 108 Sysmiss 1884 9 1991 2 5 3 1 4 1 5 2 Sysmiss 1991 8 1992 300 30000 6525 9962.035 1955 45 0 1 1 6 2 1948 Sysmiss 45 5 1995 1 1 2 1 3 2 12 1 Sysmiss 1995 6 1994 2 30000 6783.667 11502.88 1977 23 1 676 2 1301 Sysmiss 23 679 1321 0 3000 12.638 138.051 675 1325 2 108000 10939.088 10487.82 673 1327 0 1 1 60 2 612 Sysmiss 1327 61 1939 1 4000 69.393 511.661 58 1942 8 60000 7574.707 8763.012 1965 35 1 39 2 1926 Sysmiss 35 40 1960 0 30 6.125 7.247 40 1960 2 50000 11617.55 13550.41 1965 35 0 1 1 47 2 1917 Sysmiss 35 49 1951 0 2 1 21 2 11 3 4 5 4 6 2 8 2 10 1 13 1 15 1 Sysmiss 1951 48 1952 0 100000 9856.25 17287.394 115 1885 1 5 2 110 Sysmiss 1885 6 1994 1 3 2 3 Sysmiss 1994 5 1995 300 20000 7620 9587.857 1956 44 0 1 1 2 2 1953 Sysmiss 44 1 1999 7 1 Sysmiss 1999 2 1998 2 17500 8751 12372.954 1978 22 1 17 2 1961 Sysmiss 22 19 1981 0 35 6.211 9.259 18 1982 0 1400000 179222.222 329639.296 98 1902 1 2 2 96 Sysmiss 1902 2 1998 2 2 Sysmiss 1998 1 1999 20000 1 Sysmiss 1999 1956 44 0 1 1 1 2 1954 Sysmiss 44 0 2000 Sysmiss 2000 1 1999 2 1 Sysmiss 1999 1978 22 0 1 1 12 2 1965 Sysmiss 22 14 1986 0 2 1 12 Sysmiss 1986 13 1987 0 200000 70302.154 53682.836 90 1910 1 1 2 89 Sysmiss 1910 2 1998 1 1 2 1 Sysmiss 1998 1 1999 100000 1 Sysmiss 1999 1955 45 1 1 2 1954 Sysmiss 45 0 2000 Sysmiss 2000 1 1999 2 1 Sysmiss 1999 1978 22 1 20 2 1958 Sysmiss 22 21 1979 0 2 1 19 Sysmiss 1979 21 1979 0 8000000 1071896 1786665.163 97 1903 1 3 2 94 Sysmiss 1903 4 1996 1 3 2 1 Sysmiss 1996 3 1997 450000 750000 633333.333 160727.513 1955 45 1 1 2 1954 Sysmiss 45 0 2000 Sysmiss 2000 1 1999 2 1 Sysmiss 1999 1978 22 1 16 2 1962 Sysmiss 22 18 1982 0 2 1 12 2 3 3 1 Sysmiss 1982 17 1983 0 500000 65615.529 116861.683 94 1906 1 1 2 93 Sysmiss 1906 3 1997 1 1 2 2 Sysmiss 1997 2 1998 40000 50000 45000 7071.068 1955 45 1 1 2 1954 Sysmiss 45 0 2000 Sysmiss 2000 1 1999 2 1 Sysmiss 1999 1976 24 1 67 2 1908 18 1 Sysmiss 24 68 1932 0 2 1 63 2 3 Sysmiss 1932 67 1933 0 75000 17516.418 13756.592 141 1859 2 141 Sysmiss 1859 1 1999 2 1 Sysmiss 1999 0 2000 Sysmiss 2000 1956 44 1 2 2 1954 Sysmiss 44 1 1999 1 1 Sysmiss 1999 2 1998 2 15000 7501 10605.188 1978 22 1 10 2 1968 Sysmiss 22 9 1991 0 2 1 6 2 1 Sysmiss 1991 8 1992 0 200000 66000 70169.183 88 1912 1 2 2 86 Sysmiss 1912 2 1998 2 2 Sysmiss 1998 1 1999 15000 1 Sysmiss 1999 1955 45 1 3 2 1952 Sysmiss 45 1 1999 1 1 Sysmiss 1999 2 1998 2 50000 25001 35353.925 1977 23 1 19 2 1958 Sysmiss 23 18 1982 0 2 1 16 Sysmiss 1982 18 1982 0 5000000 1502784.611 1562463.956 97 1903 1 3 2 94 Sysmiss 1903 3 1997 1 300000 100001 173204.215 1 1999 700000 1 Sysmiss 1999 1955 45 1 5 2 1950 Sysmiss 45 1 1999 1 1 Sysmiss 1999 2 1998 2 250000 125001 176775.281 1977 23 1 1629 2 343 3 2 7 1 10 1 21 1 Sysmiss 23 1627 373 0 4000 8.991 99.111 1618 382 0 124000 7949.812 8687.256 1559 441 1 103 2 1456 Sysmiss 441 105 1895 0 9000 88.467 878.045 101 1899 0 40000 4461.139 6354.426 1961 39 1 7 2 1954 Sysmiss 39 7 1993 0 2 1 1 2 1 3 2 4 1 Sysmiss 1993 7 1993 0 12000 2785.857 4260.732 2000 0 1 2000 2000 0 3 2000 population point code 2520 0 1 140 70.79 39.212 household identification code 2520 0 1 2400 1173.711 664.195 2339 181 1 150 2 1144 3 227 4 255 5 142 6 129 7 90 8 70 9 46 10 34 11 22 12 14 13 8 14 3 15 2 16 2 18 1 Sysmiss 181 2335 185 1 2334 2 1 Sysmiss 185 2339 181 10 1 11 8 12 25 13 145 14 545 15 701 16 687 17 156 18 58 19 10 20 2 21 1 Sysmiss 181 2331 189 13 1 14 4 15 17 16 54 17 227 18 704 19 453 20 373 21 170 22 122 23 78 24 56 25 32 26 16 27 6 28 7 29 2 30 8 32 1 Sysmiss 189 2329 191 1 2199 2 130 Sysmiss 191 2198 322 0 48 1 303 2 378 3 368 4 343 5 242 6 196 7 128 8 67 9 41 10 52 11 13 12 9 13 2 14 4 15 2 16 2 Sysmiss 322 2031 489 0 1362 1 397 2 170 3 57 4 18 5 11 6 11 7 1 9 3 11 1 Sysmiss 489 2144 376 1 1815 2 329 Sysmiss 376 308 2212 1 11 2 111 3 20 4 96 5 70 Sysmiss 2212 1823 697 0 36 5.275 3.642 1899 621 1 718 2 144 3 228 4 593 5 14 6 202 Sysmiss 621 236 2284 1 236 Sysmiss 2284 2133 387 1 199 2 118 3 18 4 1078 5 619 6 97 7 4 Sysmiss 387 4 2516 1 4 Sysmiss 2516 2141 379 0 1 1 2055 2 85 Sysmiss 379 66 2454 1 15 2 21 3 10 4 20 Sysmiss 2454 2084 436 1 674 2 1410 Sysmiss 436 680 1840 1 539 2 141 Sysmiss 1840 2057 463 1 1336 2 550 3 171 Sysmiss 463 1857 663 0 36 4.673 4.08 1703 817 0 48 16.644 9.256 2158 362 1 370 2 1788 Sysmiss 362 424 2096 0 44 1 235 2 98 3 27 4 9 5 5 6 1 7 1 9 1 10 1 11 1 12 1 Sysmiss 2096 2303 217 1 361 2 1942 Sysmiss 217 342 2178 1 174 2 120 3 32 4 7 5 4 6 2 8 3 Sysmiss 2178 2272 248 1 251 2 2021 Sysmiss 248 255 2265 1 38 19.102 10.673 262 2258 1 166 2 96 Sysmiss 2258 99 2421 1 2 2 25 3 7 4 44 5 21 Sysmiss 2421 2070 450 1 1588 2 482 Sysmiss 450 1607 913 1 692 2 915 Sysmiss 913 729 1791 1 347 2 31 3 57 4 11 5 2 6 17 7 106 8 158 Sysmiss 1791 161 2359 1 161 Sysmiss 2359 707 1813 1 40 2 33 3 11 4 45 5 16 6 8 8 17 9 501 10 19 11 1 12 1 13 15 Sysmiss 1813 663 1857 1 145 2 518 Sysmiss 1857 145 2375 100 35000 2108.276 3536.01 2520 0 1 2520 2520 0 2 181 3 2339 8646 244 1 140 75.783 39.291 8890 0 1 2400 1249.463 670.671 8646 244 1 651 2 5566 3 702 4 676 5 354 6 247 7 151 8 96 9 71 10 48 11 41 12 23 13 8 14 5 15 1 16 6 Sysmiss 244 8620 270 1 2133 2 1843 3 1461 4 1100 5 757 6 523 7 328 8 199 9 123 10 82 11 33 12 20 13 8 14 6 15 3 16 1 Sysmiss 270 8509 381 1 936 2 761 3 822 4 799 5 729 6 740 7 594 8 709 9 646 10 590 11 549 12 634 Sysmiss 381 8588 302 65 99 88.137 7.059 8590 300 1 4481 2 4109 Sysmiss 300 8540 350 1 7495 2 1045 Sysmiss 350 312 8578 1 30 6.702 6.82 530 8360 1 75 1.5 1 2 46 3 63 4 44 5 47 6 92 7 31 8 56 9 34 10 18 11 21 12 2 Sysmiss 8360 306 8584 1 28 3.985 5.242 7812 1078 1 7064 2 748 Sysmiss 1078 7081 1809 1 27 6.129 3.007 population point 8890 0 1 140 75.232 39.483 8890 0 1 8890 8890 0 2 244 3 8646 population point code 2000 0 1 140 70.225 40.088 household identification code 2000 0 1 2400 1164.18 679.564 individual identification code 2000 0 1 2000 2000 0 1 176 2 80 3 432 4 608 5 704 2000 0 1 544 2 1456 2000 0 0 2000 household size 2000 0 1 27 7.071 3.188 tot hld exp education 2000 0 0 110833.328 2696.469 6841.898 tot hld income education 2000 0 0 33333.332 94.575 1065.852 tot hld health exp 2000 0 0 700333.313 5724.17 24225.392 tot hld labour income 2000 0 0 1225000 17999.121 45465.113 tot hld exp on rent 2000 0 0 125000 198.383 3171.664 tot hld exp on utilities 2000 0 0 132000 3391.174 8236.787 tot hhld y govt sub 2000 0 0 300000 395.95 8883.53 tot hhld y agri 2000 0 0 1000000 8595.601 37574.65 cost of growing crops sold 2000 0 0 125000 960.637 3994.889 net income from agriculture 2000 0 -125000 994166.688 7634.963 37296.763 tot hhld y movables 2000 0 0 1000000 15162.734 49343.764 2000 0 0 91666.664 2225.076 6056.581 tot hhld y commerical gds 2000 0 0 275000 1481.554 10760.954 tot hhld y unmovables 2000 0 0 100000 113.25 2844.969 tot hhld y savings 2000 0 0 170000 624.3 6795.239 tot hhld y repayment of debt 2000 0 0 200000 1040.845 8673.707 tot hhld y gifts 2000 0 0 650000 6296.824 26779.307 tot hhld y from aid org 2000 0 0 96000 2483.826 7913.022 tot hhld y alimony 2000 0 0 100000 71.251 2274.068 tot hhld y other sources 2000 0 0 600000 2896.973 18277.985 tot hld y emp benefits 2000 0 0 60000 1115.226 3205.252 tot hld y family allowance 2000 0 0 6000 15.251 220.605 tot hld y other allowances 2000 0 0 20000 35.4 614.561 tot hld y across all benefits 2000 0 0 60000 1165.877 3271.326 hld exp on non food items 2000 0 0 865716.625 18163.137 34097.763 tot hld exp food items 2000 0 0 418015 46170.882 36690.998 tot hld value from gifts of food items 2000 0 0 81293.336 2890.253 8860.815 tot hld value of consumption of food items 2000 0 0 276900 18277.829 25560.654 tot hld gross exp on land rental 2000 0 0 150000 540.586 5145.013 tot hhold income, excl imputed rents 2000 0 -19283.334 1337800 73514.794 91819.756 tot hhold expenditure, excl imputed rents 2000 0 3666.667 1002981.688 101238.595 77012.242 minimum per capita monthly expenditure 2000 0 32083 2000 2000 0 3 2000 population point code 14142 0 1 140 73.915 38.677 household identification code 14142 0 1 2400 1226.963 656.004 individual identification code 14142 0 1 27 4.758 3.196 7607 6535 1 3663 2 716 3 3228 Sysmiss 6535 14142 0 3 14142 125 0 1 140 70.256 40.24 125 0 3 31 16.056 7.595 125 0 5 125 125 0 99 125 population size 120 5 920 153200 21700.442 25392.486 ethnicity (1st) 124 1 1 98 2 1 3 21 6 1 7 3 Sysmiss 1 ethnicity (2nd) 117 8 1 21 2 26 3 65 6 4 7 1 Sysmiss 8 ethnicity (3rd) 73 52 2 36 3 19 4 4 5 3 6 9 7 2 Sysmiss 52 migration since 1990 121 4 1 35 2 40 3 35 4 11 Sysmiss 4 life better or worse now than 5 123 2 1 65 2 37 3 21 Sysmiss 2 road surfaces 121 4 1 15 2 59 3 40 4 7 Sysmiss 4 road quality 121 4 2 6 3 75 4 40 Sysmiss 4 proportion of streets with ligh 121 4 1 1 2 20 3 61 4 39 Sysmiss 4 distance to capital 112 13 3 3000 288.339 361.921 travel hours to capital by bus 97 28 0.1 60 8.818 12.752 travel hours to capital by car 112 13 0.1 50 7.072 9.887 cost of bus to capital 97 28 1 65000 6285.784 9835.872 distance to oblast admin centre 92 33 0 420 91.478 89.444 travel time to oblast centre by 93 32 0 130 7.213 15.92 travel time to oblast centre by 91 34 0 40 5.34 8.84 cost of travel to oblast centre 91 34 0 14020 1308.714 1928.522 distance to raion centre 113 12 0 70 12.657 13.593 travel time to raion centre by 105 20 0 45 7.341 11.856 travel time to raion centre by 108 17 0 30 5.392 8.471 cost of travel to raion centre 107 18 0 2500 193 308.625 proportion of houses with elect 121 4 1 101 2 20 Sysmiss 4 is there centralised water supp 122 3 1 68 2 54 Sysmiss 3 proportion of houses with acces 125 0 1 17 2 29 3 49 4 30 water supply sufficient of all 122 3 1 15 2 62 3 30 4 15 Sysmiss 3 centralised sewage? 122 3 1 36 2 86 Sysmiss 3 centralised hot water 121 4 1 4 2 117 Sysmiss 4 centralised garbage collection 121 4 1 38 2 83 Sysmiss 4 proportion of houses with telep 121 4 2 16 3 63 4 42 Sysmiss 4 no. of tv channels received 124 1 1 11 2 15 3 53 4 21 5 11 6 7 7 3 8 3 Sysmiss 1 days newspapers take to arrive 114 11 1 4 2 17 3 49 4 27 5 17 Sysmiss 11 public bath? 122 3 1 48 2 74 Sysmiss 3 natural gas? 118 7 1 36 2 82 Sysmiss 7 121 4 1 95 2 3 3 13 4 1 6 3 7 1 10 3 11 1 13 1 Sysmiss 4 116 9 1 3 2 4 3 13 4 2 5 6 6 18 7 1 9 4 10 53 11 4 12 5 13 3 Sysmiss 9 111 14 1 2 2 4 3 4 5 3 6 19 7 3 9 1 10 24 11 43 12 1 13 7 Sysmiss 14 118 7 1 25 2 39 3 36 4 16 5 2 Sysmiss 7 118 7 1 38 2 80 Sysmiss 7 59 66 0 6000 388.983 1004.752 112 13 1 48 2 64 Sysmiss 13 56 69 0 11000 1485.143 3054.075 121 4 1 88 2 33 Sysmiss 4 105 20 1 45 2 59 3 1 Sysmiss 20 121 4 1 52 2 33 3 36 Sysmiss 4 121 4 1 46 2 75 Sysmiss 4 46 79 1 37 2 4 3 5 Sysmiss 79 46 79 1 18 2 2 3 19 4 3 5 1 6 3 Sysmiss 79 18 107 1 2 2 16 Sysmiss 107 15 110 1 3 2 12 Sysmiss 110 15 110 1 2 2 13 Sysmiss 110 17 108 1 7 2 10 Sysmiss 108 42 83 1 16 2 26 Sysmiss 83 46 79 1 26 2 20 Sysmiss 79 47 78 1 22 2 25 Sysmiss 78 43 82 1 22 2 21 Sysmiss 82 42 83 1 9 2 33 Sysmiss 83 49 76 1 4 2 6 3 39 Sysmiss 76 45 80 2 6 3 39 Sysmiss 80 49 76 1 24 2 8 3 11 4 6 Sysmiss 76 46 79 1 42 2 2 3 1 4 1 Sysmiss 79 48 77 1 26 2 5 3 11 4 6 Sysmiss 77 42 83 1 29 3 1 6 5 7 1 10 1 12 3 13 2 Sysmiss 83 125 0 1 99 2 21 3 4 5 1 121 4 1 90 2 29 4 1 5 1 Sysmiss 4 124 1 1 71 2 53 Sysmiss 1 124 1 1 72 2 52 Sysmiss 1 121 4 1 29 2 92 Sysmiss 4 120 5 1 44 2 76 Sysmiss 5 122 3 1 6 2 116 Sysmiss 3 118 7 1 21 2 97 Sysmiss 7 123 2 1 12 2 111 Sysmiss 2 109 16 0 67 2 8 3 1 4 22 5 3 6 2 8 6 Sysmiss 16 108 17 0 65 1 8 2 13 3 2 4 15 5 1 7 1 8 3 Sysmiss 17 103 22 0 94 1 4 2 4 4 1 Sysmiss 22 105 20 0 100 1 2 2 3 Sysmiss 20 103 22 0 93 2 3 4 3 5 1 6 1 8 1 12 1 Sysmiss 22 121 4 2 11 3 92 4 18 Sysmiss 4 125 0 1 29 2 54 3 42 quality of health services 122 3 1 1 2 8 3 98 4 15 Sysmiss 3 where do most women give birth? 122 3 1 7 2 52 3 62 4 1 Sysmiss 3 inoculation campaign last year? 124 1 1 122 2 2 Sysmiss 1 proportion of children under 1 120 5 1 110 2 10 Sysmiss 5 are most often used drugs local 122 3 1 60 2 42 3 20 Sysmiss 3 change in general health servic 125 0 1 34 2 38 3 53 114 11 1 85 2 20 3 9 Sysmiss 11 107 18 1 84 2 23 Sysmiss 18 84 41 0 12550 2810.024 2583.472 107 18 1 61 2 17 3 5 4 3 5 12 6 9 Sysmiss 18 108 17 1 92 2 16 Sysmiss 17 102 23 1 36 2 66 Sysmiss 23 102 23 1 64 2 38 Sysmiss 23 104 21 1 50 2 54 Sysmiss 21 109 16 1 75 2 30 3 4 Sysmiss 16 94 31 0 1000 206.457 212.953 93 32 0 20000 1015.925 2927.453 85 40 0 1000 227.282 238.038 95 30 0 32000 735.8 3275.563 78 47 0 750 57.5 145.9 77 48 0 500 38.987 115.634 73 52 0 500 31.507 103.919 80 45 0 1000 163.788 280.639 103 22 1 85 2 18 Sysmiss 22 121 4 1 81 2 40 Sysmiss 4 83 42 0 1 1 55 2 16 3 4 4 4 15 2 20 1 Sysmiss 42 84 41 1 79 2 5 Sysmiss 41 62 63 0.1 50 8.427 9.794 20 105 0 6 1 11 2 2 3 1 Sysmiss 105 54 71 0 45 20.407 11.954 120 5 1 55 2 65 Sysmiss 5 59 66 0 60 2.881 8.175 59 66 1 53 2 6 Sysmiss 66 81 44 0 70 10.551 13.581 24 101 0 2 0.896 0.51 65 60 0 45 22.292 11.852 121 4 1 91 2 30 Sysmiss 4 93 32 0 25 1.57 2.947 94 31 1 87 2 7 Sysmiss 31 62 63 0 50 8.521 11.043 20 105 0 4 1 13 2 2 3 1 Sysmiss 105 48 77 0 45 20.292 12.587 120 5 1 38 2 82 Sysmiss 5 41 84 0 1 1 30 2 6 3 2 5 1 15 1 Sysmiss 84 41 84 1 37 2 4 Sysmiss 84 87 38 0.5 180 14.851 23.09 26 99 0 3 1 18 2 3 4 1 6 1 Sysmiss 99 72 53 0 45 24.944 11.135 121 4 1 84 2 37 Sysmiss 4 86 39 0 33 3.012 6.507 87 38 1 61 2 26 Sysmiss 38 74 51 0.1 70 9.501 13.156 23 102 0 3 1 15 2 3 3 1 4 1 Sysmiss 102 60 65 1 45 22.4 11.203 121 4 1 66 2 55 Sysmiss 4 69 56 0 1 1 46 2 14 3 1 4 2 5 1 7 3 15 1 Sysmiss 56 69 56 1 47 2 22 Sysmiss 56 73 52 0.1 70 10.918 13.885 26 99 0 3 1 19 2 3 4 1 Sysmiss 99 54 71 1 45 24.37 11.858 121 4 1 25 1.38 2.199 101 24 0 28 5.158 3.944 102 23 1 80 2 21 5 1 Sysmiss 23 57 68 0 33 5.333 5.631 18 107 0 4 1 8 2 3 3 1 4 1 6 1 Sysmiss 107 51 74 0 45 21.431 11.03 121 4 1 43 2 78 Sysmiss 4 46 79 0 40 3.348 8.116 45 80 1 36 2 9 Sysmiss 80 82 43 0 70 11.81 14.086 27 98 0 4 1 21 2 2 Sysmiss 98 62 63 1 45 23.79 10.634 121 4 1 72 2 49 Sysmiss 4 76 49 0 30 2.303 5.068 76 49 1 66 2 10 Sysmiss 49 66 59 0 180 12.748 24.786 20 105 0 4 1 14 2 1 6 1 Sysmiss 105 54 71 1 45 22.889 11.428 121 4 1 95 2 26 Sysmiss 4 98 27 0 25 3.276 4.364 97 28 1 89 2 8 Sysmiss 28 68 57 0 180 12.401 27.744 24 101 0 3 1 13 2 3 3 3 5 1 6 1 Sysmiss 101 53 72 1 40 18.679 12.332 125 0 1 100 2 25 102 23 1 104 4.422 12.957 97 28 1 81 2 16 Sysmiss 28 55 70 0 100 12.415 18.74 21 104 0 4 1 14 2 1 3 1 5 1 Sysmiss 104 43 82 0 45 20.86 13.096 125 0 1 88 2 37 87 38 1 30 2.644 4.456 83 42 1 73 2 10 Sysmiss 42 64 61 0 150 12.414 22.537 19 106 0 4 1 10 2 3 3 1 6 1 Sysmiss 106 50 75 0 1500 52.02 209.319 125 0 1 51 2 74 51 74 0 30 3.059 5.941 51 74 1 46 2 5 Sysmiss 74 72 53 0 300 18.682 39.343 25 100 0 3 1 14 2 4 3 1 4 1 7 1 10 1 Sysmiss 100 57 68 0 50 24.754 11.194 125 0 1 7 2 118 7 118 0 100 23.571 36.336 7 118 1 7 Sysmiss 118 39 86 0 230 41.5 63.47 21 104 0 3 1 5 2 3 3 5 4 1 5 4 Sysmiss 104 28 97 0 45 20.429 14.721 125 0 1 65 2 60 67 58 1 25 3.896 5.237 65 60 1 57 2 8 Sysmiss 60 55 70 0 35 7.302 7.514 17 108 0 3 1 9 2 1 3 2 4 2 Sysmiss 108 47 78 0 45 21.681 12.203 124 1 1 2 2 122 Sysmiss 1 4 121 0 1 2 3 Sysmiss 121 4 121 1 4 Sysmiss 121 30 95 0 240 19.633 43.952 14 111 0 3 1 4 2 1 3 1 5 1 11 1 13 3 Sysmiss 111 19 106 0 40 19.474 15.266 121 4 1 75 2 46 Sysmiss 4 76 49 0 1 1 24 2 16 3 6 4 11 5 6 7 1 8 2 9 2 10 1 11 1 13 1 14 2 15 1 16 1 Sysmiss 49 77 48 1 57 2 20 Sysmiss 48 53 72 0 33 8.646 8.543 24 101 0 50 3.542 10.022 39 86 0 50 20.359 14.176 122 3 1 119 2 3 Sysmiss 3 121 4 1 49 5.992 6.161 113 12 1 86 2 27 Sysmiss 12 49 76 0 50 5.869 8.39 20 105 0 4 1 11 2 3 3 2 Sysmiss 105 39 86 0 45 19.641 10.747 123 2 1 5 2 118 Sysmiss 2 8 117 0 1 1 4 2 3 Sysmiss 117 4 121 1 4 Sysmiss 121 30 95 0 230 24.633 45.726 14 111 0 2 1 6 2 3 3 2 5 1 Sysmiss 111 20 105 0 50 21.6 14.277 120 5 1 22 2 98 Sysmiss 5 23 102 0 1 1 18 2 1 4 3 Sysmiss 102 22 103 1 21 2 1 Sysmiss 103 57 68 0 230 23.395 41.435 25 100 0 3 1 14 2 5 3 1 5 1 6 1 Sysmiss 100 41 84 0 45 20.927 11.752 120 5 1 2 2 118 Sysmiss 5 4 121 0 1 1 1 2 1 3 1 Sysmiss 121 2 123 1 2 Sysmiss 123 28 97 0 180 25.6 44.758 13 112 0 3 1 6 2 2 3 1 6 1 Sysmiss 112 20 105 0 35 15.5 13.044 122 3 1 33 2 89 Sysmiss 3 33 92 0 1 1 17 2 9 3 2 4 3 6 1 Sysmiss 92 32 93 1 29 2 3 Sysmiss 93 86 39 0.8 120 16.084 21.171 30 95 0 3 1 17 2 9 3 1 Sysmiss 95 68 57 1 45 24.412 9.886 121 4 1 12 2 109 Sysmiss 4 12 113 1 9 5 3 Sysmiss 113 16 109 1 14 2 2 Sysmiss 109 99 26 1 390 49.778 61.58 64 61 0 4 1 32 2 16 3 5 4 2 6 2 8 1 10 1 12 1 Sysmiss 61 60 65 0 45 24.417 10.818 120 5 1 97 2 23 Sysmiss 5 98 27 0 42 1.878 4.37 95 30 1 93 2 2 Sysmiss 30 51 74 0 65 11.882 15.734 22 103 0 4 1 9 2 7 3 2 Sysmiss 103 39 86 0 50 19.077 11.831 124 1 1 25 2 99 Sysmiss 1 29 96 0 1 1 22 2 6 Sysmiss 96 27 98 1 24 2 3 Sysmiss 98 101 24 0.2 70 13.902 14.189 30 95 0 4 1 22 2 4 Sysmiss 95 78 47 0 45 24.09 9.647 120 5 1 29 2 91 Sysmiss 5 32 93 0 3 1 27 2 2 Sysmiss 93 29 96 1 29 Sysmiss 96 99 26 0.1 70 13.41 13.805 34 91 0 3 1 22 2 5 3 4 Sysmiss 91 75 50 1 45 24.52 9.4 120 5 1 24 2 96 Sysmiss 5 25 100 0 1 1 21 2 2 3 1 Sysmiss 100 23 102 1 23 Sysmiss 102 87 38 0 70 14.583 14.248 26 99 0 3 1 20 2 3 Sysmiss 99 71 54 0 45 24.845 9.509 119 6 1 28 2 91 Sysmiss 6 29 96 0 1 1 24 2 1 3 1 5 1 16 1 Sysmiss 96 28 97 1 28 Sysmiss 97 98 27 0 260 17.19 30.005 31 94 0 3 1 21 2 3 3 3 8 1 Sysmiss 94 79 46 0 50 23.025 10.733 124 1 1 63 2 61 Sysmiss 1 64 61 0 36 7.859 7.536 63 62 1 59 2 4 Sysmiss 62 73 52 0 80 14.178 18.972 29 96 0 3 1 17 2 4 3 5 Sysmiss 96 52 73 0 45 21.75 10.18 120 5 1 97 2 23 Sysmiss 5 96 29 1 256 20.125 44.502 95 30 1 92 2 3 Sysmiss 30 59 66 0.2 70 7.834 11.738 17 108 0 1654 98.412 400.867 44 81 5 45 19.886 12.318 121 4 1 68 2 53 Sysmiss 4 67 58 1 39 2 22 3 2 4 3 6 1 Sysmiss 58 66 59 1 63 2 3 Sysmiss 59 75 50 0 70 8.833 11.17 20 105 0 3 1 14 2 1 3 2 Sysmiss 105 63 62 1 50 19.794 11.067 124 1 1 65 2 59 Sysmiss 1 67 58 1 98 6.149 20.077 66 59 1 63 2 3 Sysmiss 59 68 57 0.1 180 14.215 24.981 24 101 0 2 1 16 2 4 3 1 6 1 Sysmiss 101 49 76 0 500 31.694 69.165 120 5 1 14 2 106 Sysmiss 5 17 108 0 800 48.588 193.637 14 111 1 14 Sysmiss 111 78 47 0 240 41.937 61.197 37 88 0 200 7.378 32.589 53 72 0 200 25.811 26.75 122 3 1 88 2 34 Sysmiss 3 93 32 0 1 1 40 2 22 3 16 4 6 5 3 6 2 7 1 8 1 9 1 Sysmiss 32 88 37 1 81 2 7 Sysmiss 37 68 57 0 35 8.256 8.786 17 108 0 2 1 10 2 3 3 1 6 1 Sysmiss 108 56 69 0 45 19.321 10.533 121 4 1 41 2 80 Sysmiss 4 45 80 0 2 1 22 2 10 3 4 4 1 5 3 6 1 15 2 Sysmiss 80 45 80 1 40 2 5 Sysmiss 80 80 45 0 180 18.376 29.96 27 98 0 3 1 15 2 5 3 3 6 1 Sysmiss 98 61 64 0 50 22.27 10.462 121 4 1 10 2 111 Sysmiss 4 13 112 0 2 1 7 2 3 10 1 Sysmiss 112 15 110 1 14 2 1 Sysmiss 110 84 41 0 240 47.048 61.263 49 76 0 3 1 26 2 7 3 2 4 2 5 7 6 2 Sysmiss 76 48 77 0 40 24.333 10.172 121 4 1 24 2 97 Sysmiss 4 27 98 0 2 1 17 2 2 3 2 5 1 6 3 Sysmiss 98 30 95 1 24 2 6 Sysmiss 95 88 37 0 70 14.259 15.764 25 100 0 4 1 17 2 3 3 1 Sysmiss 100 72 53 0 45 23.063 11.379 121 4 1 31 2 90 Sysmiss 4 36 89 0 30 4.583 6.93 37 88 1 32 2 5 Sysmiss 88 77 48 0 120 17.274 23.647 29 96 0 4 1 17 2 6 3 2 Sysmiss 96 57 68 0 40 19.825 11.452 121 4 1 58 2 63 Sysmiss 4 61 64 0 50 8.59 12.86 62 63 1 56 2 6 Sysmiss 63 66 59 0 70 11.739 14.393 20 105 0 4 1 13 2 2 3 1 Sysmiss 105 55 70 2 50 20.964 11.092 121 4 1 19 2 102 Sysmiss 4 23 102 0 35 5.696 9.027 24 101 1 20 2 4 Sysmiss 101 86 39 0 180 19.34 26.327 34 91 0 4 1 23 2 5 3 1 6 1 Sysmiss 91 67 58 0 45 21.545 11.437 121 4 1 29 2 92 Sysmiss 4 33 92 0 30 6.909 8.651 33 92 1 27 2 6 Sysmiss 92 78 47 0 180 16.445 25.373 26 99 0 4 1 15 2 4 3 2 6 1 Sysmiss 99 65 60 0 45 22.623 10.548 121 4 1 56 2 65 Sysmiss 4 59 66 1 40 5.203 7.654 58 67 1 54 2 4 Sysmiss 67 68 57 0.2 70 12.21 14.292 23 102 0 2 1 18 2 3 Sysmiss 102 54 71 0 50 23.13 12.016 121 4 1 13 2 108 Sysmiss 4 17 108 0 30 3.412 7.665 18 107 1 13 2 5 Sysmiss 107 98 27 0 153 39.281 37.382 62 63 0 4 1.524 0.916 62 63 0 50 25.194 11.868 121 4 1 13 2 108 Sysmiss 4 18 107 0 2 1 13 2 1 10 1 15 1 Sysmiss 107 19 106 1 17 2 2 Sysmiss 106 89 36 0 360 53.463 67.557 55 70 0 3 1 25 2 13 3 7 4 3 5 1 6 2 10 1 Sysmiss 70 54 71 0 50 23.648 11.956 121 4 1 21 2 100 Sysmiss 4 23 102 0 2 1 15 2 6 Sysmiss 102 26 99 1 21 2 5 Sysmiss 99 97 28 0 280 18.238 34.665 31 94 0 4 1 22 2 3 6 1 10 1 Sysmiss 94 76 49 0 45 24.395 11.188 125 0 0 91 1 34 125 0 0 34 1 91 125 0 1 11 2 5 3 26 4 39 5 44 household id 125 0 1 2385 1156.688 681.936 125 0 1 125 125 0 3 125