DDI_AZE_1995_SLC_v01_EN_M_v01_A_OCS_FAO Office of Chief Statistician Development Economics Data Group <_value> NADA AZE_1995_SLC_v01_EN_M_v01_A_OCS_v01 Survey of Living Conditions 1995 SLC 1995 AZE_1995_SLC_v01_EN_M_v01_A_OCS Social Studies Center, Institute of Sociology and Political Science (SORGU) The World Bank The World Bank NADA Netherlands Poverty Assessment Trust Fund The World Bank FIASH Fund LSMS Data Manager Living Standards Measurement Study [hh/lsms] Agriculture & Rural Development Migration & Remittances Access to Finance Health Infrastructure Prices statistics Living Standards Measurement Study surveys have been developed by the World Bank to collect the information necessary to measure living standards and evaluate government interventions in the areas of poverty alleviation and social services. The Azerbaijan Survey of Living Conditions (SLC) applies many of the features of LSMS surveys to provide data for the World Bank Poverty Assessment. Azerbaijan National Households Sample survey data [ssd] (a) QUESTIONNAIRE OR HOUSEHOLDS Demographic Information Dwelling Education Health Employment and Income Migration Consumption and Expenditures List of Durable Goods Agriculture (b) QUESTIONNAIRE FOR POPULATION POINT (PP) Demographic Information Infrastructure Economy Displaced Persons (Dp) Education Health Institutions Price Design The methodology that was chosen reflects the purpose of the survey. To balance a desire for a large, representative sample with the expense of a detailed survey instrument, a sample size of 2,016 households was selected. Three separate populations were covered: households in Baku, households outside of Baku and households of Displaced Persons. Within each of those populations, the sample was chosen in such a manner that each household had an equal probability of being selected. At the same time, the logistics of locating the households and conducting the interviews within a specific time frame required that the households be grouped into "workloads" of 12 households each. The Azerbaijan Survey of Living Conditions sample design included 408 households in the eleven raions that make up the city of Baku, 1200 households in the population outside of Baku, and 408 households among the registered Internally Displaced Persons residing throughout the country. To choose the sample outside of Baku, Baku was excluded from this list as were all the population points located in raions of the country currently occupied (Agdam, Xankendi, Xodjali, Xodjvendi, Susha, Kubatli, Zangelan, Kelbadjar, Lachin, Fizuli and Djebrali). The remainder of the country included 3453 population points. Sampling (a) First stage of sampling: Using the list of actual and estimated number of households for each population point, 100 workloads were spread across the population points. (b) Second stage of sampling: In order to select the households within the selected population points, household lists maintained by the administrative office of each Selsoviet were used privately built housing units would be listed. Face-to-face [f2f] The three samples of households: outside Baku (PPID 100-199), Baku (PPID 1-34), and IDPs (PPID 201-234) are self-weighted for those three groups of households. (PPID is the variable name for population point identification code.) However, the number of households selected from each group do not correspond to the percent of the three groups in the national population. To use all sample households to represent all households in Azerbaijan, weighting factors were used. This weight is included as variable “W” in the PP data file. Separate data entry programs were prepared for the household and population point questionnaires. The CLIPPER 5.0 programs were developed specifically for use in the Azerbaijan Survey of Living Conditions and featured entry screens formatted to reflect the questionnaire pages with range checks for each value. All data input was done in the central office in Baku as the questionnaires were returned from the field. Some consistency checks were made in the data entry but there was no opportunity for re-interview. This differs from the standard LSMS field methodology. https://microdata.worldbank.org/index.php/terms-of-use 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 country name and year of implementation) - Survey reference number - Source and date of download Example: Social Studies Center, Institute of Sociology and Political Science (SORGU) and the World Bank.,Azerbaijan Survey of Living Conditions 1995. Ref. AZE_1995_SLC_v01_M. Dataset downloaded from the World Bank Microdata Library (www.microdata.worldbank.org/lsms) 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: Mr. Veliyev GOSCOMSTAT, c/o World Bank, Resident Mission, 91-95 Mirza Mansur Street, Icheri Sheher Baku, 370004, Azerbaijan 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 Azerbaijan GOSCOMSTAT as the source of the information in all publications, conference papers, and manuscripts. At the same time the GOSCOMSTAT 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 A00 Survey information (questionnaire cover page) 2016 23 A01A Section 1A, DEMOGRAPHIC INFORMATION: collects the age, sex, relation to household head, marital status of all individuals, and the ID codes of the mother, father, and spouse if any of them are members of the same household so that children and parents can be linked. 10012 10 A01B Section 1B, DEMOGRAPHIC INFORMATION: Information on the sharing of expenses, length and reason of absence during the last 12 months. This information allows the researcher to vary, somewhat, the definition of household. 10017 7 A02A Section 2A, DWELLING, gathers information on the size and type of dwelling, expenditures on rent or mortgage and utilities, source of water, heating, lighting and telephone for the household. These variables both reflect and have an impact on the health and welfare of the household members. 2016 7 A02B Section 2B, DWELLING, gathers information on the size and type of dwelling, expenditures on rent or mortgage and utilities, source of water, heating, lighting and telephone for the household. These variables both reflect and have an impact on the health and welfare of the household members. 2016 28 A03 Section 3, EDUCATION: Information for all individuals 5 years and older on years of schooling and highest degree obtained. For household members who continue to study, information is collected on meals provided at school and reasons for absences of more than four weeks from school. 9026 9 A04 Section 4, HEALTH: information on health during the last 4 weeks, person from whom care was received, place where care was administered, and whether or not preventative care was received. 10017 8 A05A Section 5A, EMPLOYMENT AND INCOME: Completed for all household members 7 years and older. Information on sector, position and renumeration for primary and additional work was collected. 8647 13 A05B Section 5B, EMPLOYMENT AND INCOME: Completed for all household members 7 years and older. Information on search for work, and other economic activities. 8621 10 A05C Section 5C, EMPLOYMENT AND INCOME: Completed for all household members 7 years and older. Information on additional sources of income for the household including the sale of food products, gifts, pensions and state allowances. 2016 13 A06A Section 6A, MIGRATION: Information for all individuals 7 years and older on years lived at current residence, previous place of residence, reason for movement to current place, official residential status, and type of work done in previous place of residence. For households that include internally displaced persons (IDPs) 8705 11 A06B Section 6B, MIGRATION: Section 6B gathers information on the degree of contact with people from the place of origin and assistance currently received. 2016 22 A06C Section 6C: Information on the property that these displaced persons had before the displacement, that which they were able to bring with them and that which they lost. 7582 7 A07A Section 7A: CONSUMPTION AND EXPENDITURES, Expenditures in the last month for 17 categories of expenditure. 36288 5 A07B Section 7B, CONSUMPTION AND EXPENDITURES: Amount spent, value of home production consumed, and value received as gifts for 20 categories of food products. 40320 6 A08 Section 8, LIST OF DURABLE GOODS: Information on durable goods currently owned by the household including year of acquisition and goods sold within the last 12 months by the household. 22176 6 A09A Section 9A, AGRICULTURE: Land ownership and agricultural activities, expenditures and revenues. 2016 21 A09B Section 9B, AGRICULTURE: Number and total value of agricultural assets including animals, vehicles and equipment. 26208 6 APP1 Population Point Questionnaire - Section 1, DEMOGRAPHIC INFORMATION, asks for information on population, ethnic composition, and migration. 92 10 APP2 Population Point Questionnaire - Section 2, INFRASTRUCTURE, collects information on roads, electricity, water, sewer, and garbage collection in the community. There are also questions on the time and expense of a trip to the capital and regional center and on telephones, TV and newspapers in the community. 92 21 APP3 Population Point Questionnaire - Section 3, ECONOMY, collects information on major economic activities, unemployment, the closing of state enterprises and the degree of independent economic activity. 92 10 APP4 Population Point Questionnaire - Section 4, DISPLACED PERSONS, gathers information on the presence and living conditions of Internally Displaced Persons. 92 17 APP5 Population Point Questionnaire - Section 5, EDUCATION, collects information on the proportion of girls and boys in school and the reason for non-attendance, the condition of the schools and whether there have been improvements or deterioration in the last 5 years. 92 9 APP6 Population Point Questionnaire - Section 6, HEALTH, collects information on health problems of adults, children, and the effectiveness of health services, the place where women most often give birth, the existence of immunization campaigns in the last five years and the availability of drugs. 92 6 APP7 Population Point Questionnaire - Section 7, AGRICULTURE, collects information on crops, agricultural activity, conditions and prevailing wage rates in the sector. 92 19 APP8 Population Point Questionnaire - Section 8, INSTITUTIONS, collects information on the institutions in the community and for those that do not exist in the community, the distance and time required to reach the nearest one. 4187 7 APP9 Population Point Questionnaire - Section 9 - For each sampling point, three observations are made on the prices of 33 common food and household items. 2913 8 EXPEND Expenditure Aggregates Household expenditure on food, non-food, housing and other items are collected in several modules of the ASLC household questionnaire. SIZE reports the numbers of household members as identified by MEMB in MEMBER.XXX. Variables on household composition, monthly utility expenditure, monthly expenditure from Section 07A, and weekly amounts summed from Section 7B are contained in the data set EXPEND. Poverty was defined by comparing household food expenditure with the cost of achieving the caloric requirements suggested by the Ministry of Labor and Social Protection priced at November 1995 prices. The food basket used reflects traditional diet and, therefore, contains more meat than would be included in a minimum cost basket. The price of these caloric requirements are the following: for children 0-6 years 116455 manat; children 7-15 153348 manat; men 16-59 121786 manat; women 16-54 109826 manat; men 60 and older 97662 manat; and women 55 and older 97662 manat. Economies of scale or alternative measures of per capita expenditure can be calculated using ADS15, number of household members age 15 and older, CHS14, number of household members age 0-14, and ADEQ, the OECD adult equivalent scale. 2016 32 HHOPEN Open Responses from the Household Questionnaire Several questions in the questionnaire, for example, type of housing, allow the interviewer to enter a code for "other" and to write in the response when none of the provided answers is appropriate. The answers that were written-in have been coded and are included in the data set HHOPEN. The variables in HHOPEN include five variables from Section 2A and 2B DOMX WATERX COOKX HEATX PHONEX and four variables from Section 6 on Displaced Persons S6B10AX S6B10BX S6B10CX OTHORGX. Each variable corresponds to the variable in the household data sets. The X has been added to differentiate the two variables. For most uses, it will be sufficient for the researcher to use the other as a generic category. However, if the subject of research is household gas use, then the researcher may need to use the "other" answers to differentiate households. 761 11 MEMBER Household members In the survey, interviewers were instructed to include on the household roster all persons who normally live, eat their meals together and share expenses in the dwelling and others who were in the house the night before the interview. In all, 10012 individuals were surveyed. The data from section A01A and A01B were then used to define household members. The person identified as the Head of the household was always considered to be a member. Individuals who shared expenses are members unless they have been absent for more than six of the previous 12 months for reasons other than studies, newly born, recent marriage into the household, return from military service or recently arrived displaced person. Seventy-four individuals failed to qualify as household members. The data set MEMBER.XXX contains the variables PPID, HID, PID to identify the individuals and the variable MEMB which takes the value of 1 for members and the value 0 for non-members. This variable, MEMB, was used to filter out non-household members to calculate household expenditure variables. 10012 4 PP Population Point and Sampling Data PP brings together geographical information for each population point. The data set contains the following variables for each of the 168 population points: PPID, RAION, SELO, ZONE, BAKU, GEO, SAMPLE, and W. RAION contains the code for the raion. SELO indicates if the population point is a town, village of the town type, village or non-town IDP. (A non-town IDP may include households in more than one village.) ZONE divides the population points into seven rural economic zones in the country and urban which includes the major urban areas throughout the country. While comparisons across ZONES can provide additional information, the population points were not selected to be representative across zones. BAKU differentiates between population points in Baku, including IDP population points, and other population points. GEO divides the population points into Baku, Other Urban and Rural, with IDP population points in each of the three categories. SAMPLE divides the population points into the three sampling groups: Baku, Outside of Baku, and IDP. W contains the weight: 1.258 for Baku, 1.0166 for Outside of Baku, and 0.694 for IDP. These weights must be applied to calculate countrywide estimates. 168 8 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 1984 32 1 71 42.631 18.591 2016 1 30 14.677 9.708 2016 11 12 2015 1 95 Sysmiss 2016 95 14.283 3.537 2016 58 21.887 17.011 2016 35 15.193 3.079 2016 59 24.427 17.862 2012 4 1 2 3 5 6 7 Sysmiss 2012 4 1 2 Sysmiss 2010 6 1 2 Sysmiss 2006 10 1 32 10.75 6.886 2000 16 1 30 14.669 9.726 2000 16 2 11 12 Sysmiss 1999 17 95 94.905 3.004 1875 141 1 2 Sysmiss 2015 1 1 89 11.686 4.031 2012 4 1 30 15.039 7.662 2012 4 1 2 11 12 Sysmiss 2011 5 96 94.953 2.12 2016 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 10012 1 234 139.541 66.428 10012 1 52 9.026 5.637 10012 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 10012 1 2 10011 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Sysmiss 10012 110 28.55 20.336 9941 71 1 2 3 4 5 6 Sysmiss 4169 5843 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Sysmiss 5539 4473 21 2.613 1.817 4763 5249 1 2 3 4 5 6 7 8 9 10 11 12 15 Sysmiss 10017 1 234 139.562 66.421 10017 1 52 9.023 5.638 10017 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 10007 10 1 2 Sysmiss 9996 21 1 2 Sysmiss 672 9345 36 5.15 4.208 659 9358 1 2 3 4 5 6 7 8 9 10 11 Sysmiss 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 2015 1 1 2 3 4 5 6 7 8 Sysmiss 1707 309 28 2.529 1.258 1698 318 1 2 8 Sysmiss 2009 7 99 18.366 16.946 2008 8 400 50.794 31.937 261 1755 660000 17114.609 56162.338 13 2003 9000000 752230.769 2482050.837 960 1056 12500000 182146.875 680263.792 1998 18 175000 7492.898 15213.433 1988 28 1200000 98212.946 191984.035 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 2015 1 1 2 3 Sysmiss 819 1197 1 2 Sysmiss 275 1741 3 5 6 7 8 Sysmiss 278 1738 1 2 Sysmiss 2 2014 30000 15000 21213.203 1 2015 5 Sysmiss 822 1194 1 2 3 Sysmiss 459 1557 1 2 3 4 5 Sysmiss 1200 816 1 2 3 4 5 Sysmiss 17 1999 3 5 8 Sysmiss 1101 915 3 4 5 6 7 8 Sysmiss 2012 4 1 2 3 4 5 6 Sysmiss 1417 599 1 2 Sysmiss 1414 602 1 2 3 Sysmiss 2015 1 1 2 3 4 Sysmiss 1983 33 1 2 Sysmiss 2016 1 2 3 4 5 6 7 2014 2 1 2 3 4 5 6 7 Sysmiss 2015 1 1 2 3 4 5 6 Sysmiss 2007 9 3 4 5 6 7 8 Sysmiss 2011 5 3 4 5 6 7 8 Sysmiss 9026 1 234 139.229 66.736 9026 1 52 8.976 5.644 9026 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 9025 1 28 8.53 4.474 9005 21 1 2 3 4 5 6 7 8 9 10 13 Sysmiss 9004 22 1 2 Sysmiss 2238 6788 1 2 Sysmiss 2238 6788 1 2 Sysmiss 6942 2084 1 2 3 4 5 6 7 8 9 10 Sysmiss 10017 1 234 139.562 66.421 10017 1 52 9.023 5.638 10017 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 9982 35 1 2 3 4 Sysmiss 2048 7969 60 14.575 10.141 2049 7968 1 2 3 4 5 6 7 8 9 10 Sysmiss 1109 8908 1 2 3 4 5 6 7 8 9 10 11 Sysmiss 9959 58 1 2 Sysmiss 2254 6393 4700000 65310.459 175516.174 508 8139 3000000 170920.285 334007.374 8647 1 234 139.277 66.811 8647 1 52 8.956 5.674 8647 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 8642 5 1 2 Sysmiss 2304 6343 1 2 3 4 5 6 7 8 9 10 Sysmiss 2283 6364 1 2 3 4 5 6 7 Sysmiss 2271 6376 1 2 Sysmiss 2266 6381 1 2 Sysmiss 8626 21 1 2 Sysmiss 532 8115 1 2 3 4 5 6 7 8 9 10 Sysmiss 522 8125 1 2 3 4 5 6 7 Sysmiss 8621 1 234 139.203 66.816 8621 1 52 8.959 5.676 8621 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 8618 3 1 2 Sysmiss 8595 26 1 2 Sysmiss 8593 28 1 2 Sysmiss 8611 10 1 2 Sysmiss 867 7754 1 2 3 4 5 6 7 8 9 10 Sysmiss 860 7761 1 2 3 4 5 6 7 Sysmiss 7675 946 1 2 3 4 5 6 7 8 9 10 11 12 13 Sysmiss 2014 2 2500000 32662.86 156748.095 2013 3 8000000 106680.577 450834.517 2012 4 2680000 16227.137 103703.085 2013 3 4700000 5137.114 145837.04 2015 1 670000 16050.156 29563.077 2008 8 255000 5879.383 13091.516 2008 8 157000 4481.707 9315.945 2013 3 450000 2847.591 19066.263 2008 8 1032000 2771.818 24731.879 2006 10 600000 9376.371 34621.421 2007 9 5000000 21350.782 170569.105 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 8705 1 234 139.121 66.744 8705 1 52 8.956 5.667 8705 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 8702 3 1 2 Sysmiss 3310 5395 90 9.553 12.461 3314 5391 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Sysmiss 3315 5390 1 2 3 4 5 6 7 Sysmiss 3310 5395 1 2 3 4 Sysmiss 3311 5394 1 2 3 4 5 6 7 8 9 10 11 12 13 Sysmiss 3304 5401 1 2 Sysmiss 2249 6456 1 2 3 4 5 6 Sysmiss Population point Population point Population point Population point Population point 2016 1 234 136.548 69.51 Household ID Household ID Household ID Household ID Household ID 2016 1 52 9.201 5.889 Displaced persons in household Displaced persons in household Displaced persons in household Displaced persons in household Displaced persons in household 2016 1 2 How long ago left previous home How long ago left previous home How long ago left previous home How long ago left previous home How long ago left previous home 440 1576 1 2 3 4 5 6 Sysmiss Number of times moved Number of times moved Number of times moved Number of times moved Number of times moved 443 1573 1 2 3 4 5 6 9 Sysmiss All members of household here All members of household here All members of household here All members of household here All members of household here 443 1573 1 2 Sysmiss Any member injured Any member injured Any member injured Any member injured Any member injured 443 1573 1 2 Sysmiss How many people from previous residence How many people from previous residence How many people from previous residence How many people from previous residence How many people from previous residence 443 1573 1 2 3 4 Sysmiss Contact with leaders from previous residence Contact with leaders from previous residence Contact with leaders from previous residence Contact with leaders from previous residence Contact with leaders from previous residence 443 1573 1 2 Sysmiss Does leader work regularly in community Does leader work regularly in community Does leader work regularly in community Does leader work regularly in community Does leader work regularly in community 200 1816 1 2 Sysmiss Would you return if there was peace Would you return if there was peace Would you return if there was peace Would you return if there was peace Would you return if there was peace 443 1573 1 2 Sysmiss Receive food aid from government Receive food aid from government Receive food aid from government Receive food aid from government Receive food aid from government 443 1573 1 2 Sysmiss Receive money allowance from govt Receive money allowance from govt Receive money allowance from govt Receive money allowance from govt Receive money allowance from govt 443 1573 1 2 Sysmiss Receive govt assistance for education Receive govt assistance for education Receive govt assistance for education Receive govt assistance for education Receive govt assistance for education 443 1573 1 2 Sysmiss Receive govt assistance for medical service Receive govt assistance for medical service Receive govt assistance for medical service Receive govt assistance for medical service Receive govt assistance for medical service 443 1573 1 2 Sysmiss How often is aid received How often is aid received How often is aid received How often is aid received How often is aid received 440 1576 1 2 3 Sysmiss Receive aid from other organizations Receive aid from other organizations Receive aid from other organizations Receive aid from other organizations Receive aid from other organizations 439 1577 1 2 Sysmiss Receive aid from World Food Program Receive aid from World Food Program Receive aid from World Food Program Receive aid from World Food Program Receive aid from World Food Program 343 1673 1 2 Sysmiss Receive aid from Save the Children Receive aid from Save the Children Receive aid from Save the Children Receive aid from Save the Children Receive aid from Save the Children 343 1673 1 2 Sysmiss Receive aid from Red Crescent/Red Cross Receive aid from Red Crescent/Red Cross Receive aid from Red Crescent/Red Cross Receive aid from Red Crescent/Red Cross Receive aid from Red Crescent/Red Cross 343 1673 1 2 Sysmiss Receive aid from UNICEF Receive aid from UNICEF Receive aid from UNICEF Receive aid from UNICEF Receive aid from UNICEF 342 1674 1 2 Sysmiss Receive aid from other organization Receive aid from other organization Receive aid from other organization Receive aid from other organization Receive aid from other organization 340 1676 1 2 Sysmiss 7582 4 234 207.09 41.917 7582 1 52 10.466 7.903 7582 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 6212 1370 1 2 Sysmiss 3903 3679 1 2 Sysmiss 3999 3583 1 2 3 4 5 6 Sysmiss 3972 3610 1 2 3 Sysmiss 36205 83 10000000 54256.261 201324.341 36288 1 234 136.548 69.494 36288 1 52 9.201 5.887 36288 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 36186 102 3 4 5 6 7 8 Sysmiss 40274 46 800000 4820.852 14759.936 40237 83 2759000 502.545 14903.94 40173 147 500000 1058.788 7110.502 40320 1 234 136.548 69.494 40320 1 52 9.201 5.887 40320 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 22176 1 234 136.548 69.495 22176 1 52 9.201 5.887 22176 801 802 803 804 805 806 807 808 809 810 811 22151 25 1 2 Sysmiss 7270 14906 1997 1971.299 141.141 14753 7423 1 2 Sysmiss 970 1046 25 0.189 0.811 781 1235 6 0.131 0.318 774 1242 3 0.0609 0.186 6 2010 400000 100000 167332.005 745 1271 1000000 8528.875 50227.512 773 1243 50000000 683146.184 2366849.499 764 1252 10000000 418133.508 873086.506 6 2010 0.0500000007450581 0.119999997317791 0.200000002980232 0.5 Sysmiss 6 2010 600000 266666.667 273252.02 271 1745 3000000 47769.373 231580.862 268 1748 100000 932.836 8180.27 264 1752 4000000 467640.152 573722.349 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 2016 1 2 968 1048 1 2 Sysmiss 757 1259 1 42 27.575 11.449 783 1233 1 2 Sysmiss 968 1048 1 2 Sysmiss 2016 1 2 275 1741 1 2 3 4 5 Sysmiss 3193 23015 30000000 471369.723 1229555.953 26208 1 234 136.548 69.494 26208 1 52 9.201 5.887 26208 901 902 903 904 905 906 907 908 909 910 911 912 913 25982 226 1 2 Sysmiss 3213 22995 4000 7.626 70.824 91 1 12 199 146.56 32.148 91 1 1 30 12.868 9.885 91 1 11 12 Sysmiss 91 1 95 Sysmiss 88 4 212 116185 10801.159 19465.302 91 1 1 3 5 9 Sysmiss 56 36 1 2 3 4 5 7 9 Sysmiss 45 47 1 2 3 4 5 6 7 8 9 Sysmiss 91 1 1 2 3 4 Sysmiss 89 3 1 2 Sysmiss 91 1 12 199 146.56 32.148 91 1 1 2 3 4 Sysmiss 91 1 2 3 4 Sysmiss 91 1 17 1100 329.462 210.83 84 8 40 6.827 6.867 83 9 45 5.431 6.769 81 11 500 30000 14398.765 6674.607 74 18 67 19.041 15.271 73 19 45 4.51 10.692 71 21 30 3.044 7.089 71 21 10000 1938.042 1955.81 90 2 1 2 3 4 Sysmiss 89 3 1 2 Sysmiss 91 1 1 2 3 4 Sysmiss 91 1 1 2 3 4 Sysmiss 91 1 1 2 Sysmiss 91 1 1 2 Sysmiss 91 1 1 2 Sysmiss 91 1 1 2 3 4 Sysmiss 91 1 1 2 3 4 5 Sysmiss 88 4 1 2 3 4 5 Sysmiss 91 1 12 199 146.56 32.148 89 3 1 2 3 5 Sysmiss 52 40 1 2 4 5 Sysmiss 43 49 1 2 3 4 5 Sysmiss 89 3 1 2 3 4 5 Sysmiss 90 2 1 2 Sysmiss 38 54 2 20000 1707.868 4129.005 89 3 1 2 Sysmiss 41 51 1 2 3 Sysmiss 91 1 1 2 3 Sysmiss 91 1 12 199 146.56 32.148 91 1 1 2 Sysmiss 53 39 1 2 3 Sysmiss 43 49 1 2 Sysmiss 39 53 1 2 Sysmiss 40 52 1 2 Sysmiss 43 49 1 2 Sysmiss 54 38 1 2 Sysmiss 51 41 1 2 Sysmiss 49 43 1 2 Sysmiss 50 42 1 2 Sysmiss 53 39 2 3 Sysmiss 53 39 1 2 3 Sysmiss 54 38 1 2 3 4 Sysmiss 43 49 1 2 3 Sysmiss 54 38 1 2 3 4 Sysmiss 43 49 1 2 3 4 Sysmiss 91 1 12 199 146.56 32.148 89 3 1 2 3 4 Sysmiss 88 4 1 2 3 4 Sysmiss 90 2 1 2 Sysmiss 90 2 1 2 Sysmiss 87 5 1 2 Sysmiss 88 4 1 2 Sysmiss 89 3 2 3 4 Sysmiss 90 2 1 2 3 Sysmiss 91 1 12 199 146.56 32.148 90 2 1 2 3 4 Sysmiss 91 1 1 2 3 5 Sysmiss 82 10 1 2 Sysmiss 89 3 1 2 3 Sysmiss 90 2 1 2 3 Sysmiss 91 1 12 199 146.56 32.148 88 4 1 2 3 Sysmiss 87 5 1 2 3 4 5 6 Sysmiss 80 12 1 2 Sysmiss 80 12 1 2 Sysmiss 79 13 1 2 Sysmiss 80 12 1 2 Sysmiss 85 7 1 2 3 Sysmiss 84 8 1 2 Sysmiss 66 26 30000 2380.394 4992.345 71 21 50000 2929.423 6698.497 72 20 50000 7062.875 10279.971 71 21 30000 2382.479 4827.258 66 26 50000 2933.167 6953.261 70 22 50000 7928.957 10782.602 37 55 2000 686.649 645.076 33 59 5000 1061.424 1279.829 44 48 20000 4282.818 5896.471 76 16 1 2 Sysmiss 4186 1 12 199 146.56 31.974 4186 1 1 46 23.5 13.278 4177 10 1 2 Sysmiss 1368 2819 1 300 3.755 11.897 2195 1992 450 34.347 53.87 1279 2908 1 2 3 4 5 6 7 8 Sysmiss 1881 2306 55 22.576 13.663 2912 1 12 199 146.56 31.976 2912 1 1 33 17 9.671 847 2066 1 Sysmiss 2260 653 700000 6562.198 18893.042 731 2182 1 2 12 Sysmiss 2052 861 900000 6666.92 22433.002 467 2446 1 21 Sysmiss 1508 1405 1 140000 6163.621 9654.102 2016 1 234 136.548 69.51 2016 1 52 9.201 5.889 2016 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 2016 1 2 3 4 5 6 7 8 9 10 11 12 2016 1 2 3 4 5 6 7 8 2016 1 11.2 3.451 1.406 2016 97662 2077900 593748.645 281356.396 2016 Not Poor 1 Poor 2016 892500 96307.033 79507.778 2016 370000 8091.222 24713.83 2016 483000 20671.965 39734.954 1998 18 150000 3702.805 6605.087 1988 28 600000 20550.92 49727.963 2001 15 4500000 372287.106 395709.727 2015 1 6900000 231720.195 288236.662 2014 2 1000000 4888.468 49295.204 2014 2 1000000 25724.937 46259.501 2015 1 3000000 5232.043 75030.395 2013 3 1500000 35822.776 85814.182 2014 2 1290000 36023.014 91347.122 2011 5 1200000 20684.32 51212.167 2014 2 1500000 26620.85 76750.427 2014 2 2100000 31955.002 101810.196 2014 2 1000000 8262.132 49199.459 2012 4 1500000 11867.474 49706.761 2012 4 470000 1656.143 17563.745 2013 3 230000 3763.787 15876.307 2009 7 1200000 7417.415 52253.435 2010 6 300000 594.271 9250.92 2009 7 301000 2340.8 11497.905 2012 4 3500000 47024.692 167363.523 2016 8600 4426850 542685.566 410912.741 761 1 234 149.046 80.937 761 1 52 9.585 6.998 217 544 1 44 11.931 12.411 240 521 1 2 3 4 5 6 7 8 9 10 Sysmiss 80 681 1 2 3 4 5 6 7 8 9 11 12 Sysmiss 383 378 1 26 6.394 6.362 20 741 1 2 4 6 7 8 9 Sysmiss 4 757 1 2 5 6 Sysmiss 1 760 3 Sysmiss 1 760 4 Sysmiss 159 602 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Sysmiss 10012 1 234 139.541 66.428 10012 1 52 9.026 5.637 10012 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 10012 1 168 1 234 136.548 69.701 168 2 83 48.44 25.311 168 1 Gorod 2 PGT 3 Celo 4 non-g ID 168 2 NearSW 3 FarNW 4 CenN 5 Naxi 6 Far S 7 Near NW 8 Central 9 Urban 168 Non-Baku 1 Baku 168 1 Baku 2 Oth Urb 3 Rural 168 0.694 1.258 1 0.181 168 1 Baku 2 Non-Bak 3 IDP