DDI_WB_AZE_1995_SLC_v01_M
World Bank, Development Economics Data Group
2010-06-16
NADA
Version 01: (June 2010)
Survey of Living Conditions 1995
ASLC 1995
AZE_1995_SLC_v01_M
Social Studies Center, Institute of Sociology and Political Science (SORGU) and 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]
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 (ASLC) applies many of the features of LSMS surveys to provide data for the World Bank Poverty Assessment.
Azerbaijan
National
- Households
- Individuals
- Community
Sample survey data [ssd]
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 "work loads" of 12 households each. The size of the workload was determined by the number of interviews that could be carried out in one day by one team of three interviewers and a supervisor.
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. This results in an oversampling of the Internally Displaced Persons population and an undersampling of the urban population of Baku. In order to use all data to provide nationally representative estimates, weighting factors must be applied to the data to account for the difference between the population and sample distributions.
Outside of Baku
The most recent data on population came from the 1989 census, the most recent data on number of households was reported in 1994 by the National Statistical Committee. The country is divided into towns, villages of the town type, and villages. Every household is located in one of those three types of population points. A list prepared by the National Statistical Committee contains just over 4,250 of these population points.
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.
Information on the number of households was not available for all population points, specifically, "villages of the town type" and cities did not have this information. Average household size was calculated for those points that had both population and the number of households and this number was used to impute the number of households for those population points where it was missing. Average household size was 4.25 which is smaller than expected but reflects the fact that numerator is a 1989 statistic and the denominator is from 1994.
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 in the following manner:
1. the sampling interval, i, was calculated to be the total number of households outside of Baku divided by 100,
2. the random start, s, was calculated by taking the integer portion of [random number * i + 1],
3. the population point containing the sth household, the (s+i)th household, the (s+2i)th household, etc. were then selected.
4. in the event that more than one interval landed on the same population point, multiple workloads of 12 households were surveyed in that population point. In this manner 100 workloads were distributed in 91 population points.
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. Selsoviets are administrative units that cover from one to ten population points. In the population points covered by a single group of 12 households, 16 dwellings were selected--12 to be interviewed and 4 to be used as replacements if necessary. The sampling interval used was the total number of households on the list divided by 16. Each population point had been assigned a randomly generated number with which to calculate a starting point. In population points with more that one group of 12 households, 16 households were selected for each workload and the sampling interval was number of households divided by 16 multiplied by the number of workloads.
It is possible that a second household with separate finances could occupy a dwelling that was only listed once in the Selsoviet’s list. If an interviewer discovered more than one family living in a single dwelling, separate questionnaires were to be filled out for both, and a household randomly selected from among the households not yet interviewed on the list for that population point was taken off the list. This replacement of households, opposed to adding households, was adopted because the schedule did not allow time for more than 12 interviews per workload.
Baku
In February of 1995, SORGU was commissioned to do a random sampling survey in Baku. At that time a list was compiled of 2000 households in Baku. The 2000 households were distributed across the 11 raions of Baku according to each raion’s proportion of the total population. In each raion, the passport office lists were consulted to select the required number of addresses. In each office, the depth of each drawer full of cards was measured, the total length was divided by the number of households to be selected from that raion and cards were then pulled out at those intervals. From each card a specific address in Baku was noted. There is one passport for each dwelling in that raion regardless of the number of separate household/family units occupied the dwelling. The passport lists are, in principle, continuously updated with information from the housing maintenance offices. However, dwellings that are used for business, unoccupied, abandoned or rented to foreigners may remain listed. Furthermore, it is not clear how new privately built housing units would be listed.The 408 households and 92 replacements for this survey were selected by choosing a random number between 1 and 4, starting with that number and then selecting every fifth address from the existing list.
Internally Displaced Population
The National Statistical Committee prepared a listing of population and number of households of internally displaced persons by raion in July 1995. From that list, 34 workloads of 12 households each were selected from 26 raions and 11 Baku Administrative Regions using with a sampling interval and a random start similar to the method used outside of Baku. Ten workloads were selected in Baku and 24 were selected in 17 raions. As before, some raions received more than one workload. In each raion, the administrative offices for the Ministry of Refugees was consulted to locate the internally displaced persons. Each office should have a list of internally displaced persons by households. An additional level of sampling took place to choose three places and four interviews will be conducted in each place. These places were buildings, towns, or tent camps depending on how the households were listed.
Sampling as Implemented
In the course of the field work, it was discovered that population lists are not maintained in major urban areas. In Kuba, Xachmas, Devichi, Qaxi, Sheki, Ali Bairamli, Gojai and Agdash, supervisors had to improvise. In some cases passport registration lists were used, as was done in Baku. In other cases electric users lists, gas office books and butter/meat coupon distribution lists were used in order to capture a sample that was as representative as possible. During field work, one population point, Xandar, was not accessible due to security concerns and its proximity to the occupied region. A second population point, Sofukent, was not accessible because of the weather. In both cases, it was not practicable to replace the population points with two other population points randomly selected from the national list. Instead, field teams were instructed to visit the nearest population point of approximately the same size to the chosen population point. The only major disruption to fieldwork occurred in Naxicevan where interviewers were shot at by terrorists, fortunately none was hurt.
Face-to-face [f2f]
DEVELOPMENT OF QUESTIONNAIRES
A questionnaire based on the Living Standards Measurement Study surveys was adapted for use in Azerbaijan. Significant reductions in the number of questions reflected the need to conduct the survey in a short period of time and the more limited scope of a poverty assessment as compared to a full-blown government policy analysis. Questionnaire development was done using the Russian language version. The finalized versions were translated into Azeri by SORGU personnel. A special version of the questionnaire with both Russian and English was prepared for use by data analysts.
DESCRIPTION OF QUESTIONNAIRES
The survey includes questionnaires at both the household and population point (community) levels. Population point is an administrative designation that can be a village, a "village of the town type" or a town. All households in the country belong to one population point. First stage sampling was based on population points and second stage sampling was based on the household lists in selected population points. The population point served as the community in the ASLC.
Both questionnaires reflect the content and methodology used in many LSMS surveys. The household questionnaire, was abridged significantly to conform to the time frame and purpose of the survey. LSMS surveys are often designed to facilitate the analysis of the impact of a broad range of government policies on households. The Poverty Assessment required an assessment of economic well-being of each household and several broad measures of employment, education, health, housing and other areas of household activity. The scope of questions asked in the ASLC was much narrower than for a standard LSMS especially in the field of economic activities. It covers all of the topics covered in most LSMS surveys but contains far fewer questions, and therefore, less detail. The household questionnaire collects information at the individual and household level on all aspects of life and activity. The population point questionnaire gathers information common to all households in the sampling unit, thus limiting the length of the household questionnaire. Information collected for the population point includes the type and quality of social services available, predominant economic activities, the distance to regional and national centers, and a price survey.
Household Questionnaire
The household questionnaire contains nine modules: demographic information, housing, education, health, economic activities, migration, consumption and expenditure, household property and agriculture. The entire questionnaire was administered to the head of the household. Interviews were generally carried out in the main room of the dwelling with other household members present. The household head was invited to consult with other household members but other household members were not interviewed separately. Interviewers were instructed to collect information for all people who usually reside in the dwelling, eat together and share expenses and anyone who was in the dwelling the night before the interview.
Section 1, 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. Section 1B gathers 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.
Section 2, 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.
Section 3, EDUCATION, gathers 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.
Section 4, HEALTH, collects, for each individual, 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.
Section 5A, EMPLOYMENT AND INCOME, is completed for all household members 7 years and older. Information on sector, position and renumeration for primary and additional work was collected. Part 5B gathers information on search for work, and other economic activities. Part 5C gathers information on additional sources of income for the household including the sale of food products, gifts, pensions and state allowances.
Section 6, MIGRATION, gathers 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), Section 6B gathers information on the degree of contact with people from the place of origin and assistance currently received.
Section 6C gathers 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. Section 6B and 6C represent a substantial departure from standard LSMS survey questionnaires.
Section 7, CONSUMPTION AND EXPENDITURES, gathers expenditures in the last month for 17 categories of expenditure in Section 7A and the amount spent, value of home production consumed, and value received as gifts for 20 categories of food products in Section 7B.
Section 8, LIST OF DURABLE GOODS, gathers information on durable goods currently owned by the household including year of acquisition and goods sold within the last 12 months by the household.
Section 9, AGRICULTURE, covers land ownership and agricultural activities, expenditures and revenues in Section 9A and the number and total value of agricultural assets including animals, vehicles and equipment in Section 9B.
Population Point Questionnaire
One population point questionnaire was completed for each sampling point. Interviewers were instructed to interview as many community leaders as necessary in order to complete the questionnaire.
Section 1, DEMOGRAPHIC INFORMATION, asks for information on population, ethnic composition, and migration.
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.
Section 3, ECONOMY, collects information on major economic activities, unemployment, the closing of state enterprises and the degree of independent economic activity.
Section 4, DISPLACED PERSONS, gathers information on the presence and living conditions of Internally Displaced Persons.
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.
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.
Section 7, AGRICULTURE, collects information on crops, agricultural activity, conditions and prevailing wage rates in the sector.
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.
Finally, for each sampling point, three observations are made on the prices of 33 common food and household items.
Training and Field Test
All interviewers and supervisors used for the survey were experienced SORGU staff. Specific training for the Survey of Living Conditions was conducted in three stages. All interviewer candidates participated in a day long orientation seminar where the survey purpose, questionnaire content and format, and field work strategy were presented. Follow up training including mock interviews and careful review of each question was given to small groups of interviewers in several sessions. Supervisors were given individual training on the selection of households from the population point household lists, observation of interviews and questionnaire verification.
The field test was conducted in Baku and a town two hours north of Baku. The procedure for selecting households proved time-consuming but manageable. Government officials were accommodating and the households interviewed were very hospitable. During the pilot test interviews, most respondents found it impossible to answer questions on the value of the dwelling and durable goods as there was no market for those things. As a result, those questions were removed.
Organization of Field Work
Each household interview was conducted in a single session. The entire questionnaire was addressed to the household head, rather than individuals. In most cases, the entire household was present for the interview and the household head would receive help answering questions when appropriate.
Interviews in Baku were conducted by 5 teams from November 20-December 13, 1995. Ten teams conducted the interviews in the 100 population points and in 24 groups of IDPs outside of Baku between November 23 and December 20. Population points for workloads outside of Baku, households in Baku, and raions for IDPs were selected prior to the field work. Supervisors were responsible for the random selection of households in population points outside of Baku and the places and households for interviewing Internally Displaced Persons.
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 should be used. This weight is included as variable W in the PP data
file.
World 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 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 (http://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
2016
1
52
1984
32
1
71
2016
1
30
2016
11
12
2015
1
95
Sysmiss
2016
95
2016
58
2016
35
2016
59
2012
4
1
2
3
5
6
7
Sysmiss
2012
4
1
2
Sysmiss
2010
6
1
2
Sysmiss
2006
10
1
32
2000
16
1
30
2000
16
2
11
12
Sysmiss
1999
17
95
1875
141
1
2
Sysmiss
2015
1
1
89
2012
4
1
30
2012
4
1
2
11
12
Sysmiss
2011
5
96
2016
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
10012
1
234
10012
1
52
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
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
4763
5249
1
2
3
4
5
6
7
8
9
10
11
12
15
Sysmiss
10017
1
234
10017
1
52
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
659
9358
1
2
3
4
5
6
7
8
9
10
11
Sysmiss
2016
1
234
2016
1
52
2015
1
1
2
3
4
5
6
7
8
Sysmiss
1707
309
28
1698
318
1
2
8
Sysmiss
2009
7
99
2008
8
400
261
1755
660000
13
2003
9000000
960
1056
12500000
1998
18
175000
1988
28
1200000
2016
1
234
2016
1
52
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
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
9026
1
52
9026
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
9025
1
28
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
10017
1
52
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
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
508
8139
3000000
8647
1
234
8647
1
52
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
8621
1
52
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
2013
3
8000000
2012
4
2680000
2013
3
4700000
2015
1
670000
2008
8
255000
2008
8
157000
2013
3
450000
2008
8
1032000
2006
10
600000
2007
9
5000000
2016
1
234
2016
1
52
8705
1
234
8705
1
52
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
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
Household ID
Household ID
Household ID
Household ID
Household ID
2016
1
52
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
7582
1
52
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
36288
1
234
36288
1
52
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
40237
83
2759000
40173
147
500000
40320
1
234
40320
1
52
40320
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
22176
1
234
22176
1
52
22176
801
802
803
804
805
806
807
808
809
810
811
22151
25
1
2
Sysmiss
7270
14906
1997
14753
7423
1
2
Sysmiss
970
1046
25
781
1235
6
774
1242
3
6
2010
400000
745
1271
1000000
773
1243
50000000
764
1252
10000000
6
2010
0.0500000007450581
0.119999997317791
0.200000002980232
0.5
Sysmiss
6
2010
600000
271
1745
3000000
268
1748
100000
264
1752
4000000
2016
1
234
2016
1
52
2016
1
2
968
1048
1
2
Sysmiss
757
1259
1
42
783
1233
1
2
Sysmiss
968
1048
1
2
Sysmiss
2016
1
2
275
1741
1
2
3
4
5
Sysmiss
3193
23015
30000000
26208
1
234
26208
1
52
26208
901
902
903
904
905
906
907
908
909
910
911
912
913
25982
226
1
2
Sysmiss
3213
22995
4000
91
1
12
199
91
1
1
30
91
1
11
12
Sysmiss
91
1
95
Sysmiss
88
4
212
116185
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
91
1
1
2
3
4
Sysmiss
91
1
2
3
4
Sysmiss
91
1
17
1100
84
8
40
83
9
45
81
11
500
30000
74
18
67
73
19
45
71
21
30
71
21
10000
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
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
89
3
1
2
Sysmiss
41
51
1
2
3
Sysmiss
91
1
1
2
3
Sysmiss
91
1
12
199
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
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
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
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
71
21
50000
72
20
50000
71
21
30000
66
26
50000
70
22
50000
37
55
2000
33
59
5000
44
48
20000
76
16
1
2
Sysmiss
4186
1
12
199
4186
1
1
46
4177
10
1
2
Sysmiss
1368
2819
1
300
2195
1992
450
1279
2908
1
2
3
4
5
6
7
8
Sysmiss
1881
2306
55
2912
1
12
199
2912
1
1
33
847
2066
1
Sysmiss
2260
653
700000
731
2182
1
2
12
Sysmiss
2052
861
900000
467
2446
1
21
Sysmiss
1508
1405
1
140000
2016
1
234
2016
1
52
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
2016
97662
2077900
2016
Not Poor
1
Poor
2016
892500
2016
370000
2016
483000
1998
18
150000
1988
28
600000
2001
15
4500000
2015
1
6900000
2014
2
1000000
2014
2
1000000
2015
1
3000000
2013
3
1500000
2014
2
1290000
2011
5
1200000
2014
2
1500000
2014
2
2100000
2014
2
1000000
2012
4
1500000
2012
4
470000
2013
3
230000
2009
7
1200000
2010
6
300000
2009
7
301000
2012
4
3500000
2016
8600
4426850
761
1
234
761
1
52
217
544
1
44
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
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
10012
1
52
9.026
10012
3.494
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
10012
0.993
1
168
1
234
168
2
83
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
168
1
Baku
2
Non-Bak
3
IDP