Enquête Permanente Auprès des Ménages 1986DDI_CIV_1986_EPAM_v01_M
World Bank, Living Standard Measurement Study (LSMS)
2010-06-17Metadata EditorVersion 0.2 (March 2011).Enquête Permanente Auprès des Ménages 1986-1987 (Wave 2 Panel)EPAM (CILSS) 1986-87Côte d'Ivoire Living Standards Survey (CILSS) 1986-1987CIV_1986_EPAM_v01_MDirection de la StatistiqueThe World BankMetadata EditorLSMS Data ManagerLiving Standards Measurement Study [hh/lsms]This is the second "Enquête Permanente Auprès des Ménages" (EPAM) survey conducted in Cote d'Ivoire and it is panel with the first, third and fourth EPAM surveys which were conducted in 1985, 1987, and 1888 respectively.
The CILSS (EPAM) survey was fielded on the following dates:
- First year ("1985"): 16th February 1985 to 25 January 1986
- Second year ("1986"): 22nd February 1986 to 24 January 1987
- Third year ("1987"): 14th March 1987 to 13th February 1988
- Fourth year ("1988"): 28th May 1988 to 29th April 1989The Côte d'Ivoire Living Standards Survey (CILSS) was the first LSMS Survey to have field tested the methodology and questionnaire developed by LSMS. It consists of three complementary surveys: the household survey, the community survey and the price survey. The household survey collected detailed information on expenditures, income, employment, assets, basic needs and other socio-economic characteristics of the households. The Community Survey collected information on economic and demographic characteristics of the rural communities to which each cluster of households belonged. This was designed to enable the linkage of community level with household level data. The price survey component of the CILSS collected data on prices at the nearest market to each cluster of households, so that regional price indices could be constructed for the household survey.
The Côte d'Ivoire Living Standards Survey (CILSS) was undertaken over a period of four years, 1985-88, by the Direction de la Statistique in Côte d'Ivoire, with financial and technical support from the World Bank during the first two years of the survey. It was the first year-round household survey to have been undertaken by the Ivorian Direction de la Statistique.
The sample size each year was 1600 households and the sample design was a rotating panel. That is, half of the households were revisited the following year, while the other half were replaced with new households. The survey thus produced four cross-sectional data sets as well as three overlapping panels of 800 households each (1985-86, 1986-87, 1987-88).Côte d'IvoireNational coverage.
Domains: Urban/rural; Regions (East Forest, West Forest, East Savannah, West Savannah)- Households
- Individuals
- CommunitySample survey data [ssd]Household Questionnaire
- Household composition: Household roster, demographic data, information on parents of all household members
- Housing: Type of dwelling, housing and utilities expenditures
- Education: Completed schooling and schooling expenditures for all household members 5 or older; schooling of all non-member children under 30
- Health: Utilization of health services and medical expenditures for an illness in the last four weeks; utilization of and expenditures for preventive services in the last 12 months.
- Economic activities: Employment, income, and time use data for the main and secondary jobs in the last 7 days and the last 12 months; employment history; unemployment spells in the last 12 months; time use in the home.
- Migration: Location and reasons for first and last moves
- Characteristics of housing: Observation and measurement of housing by the interviewer
- Agro-pastoral activities: Land, crops, income and expenditure from raising crops and animals, livestock, farm equipment.
- Non-farm self-employment: Income, expenditure, assets for three most important household businesses.
- Expenditures and inventory of durable goods: Expenditures in the past 14 days and past 12 months; inventory of durable goods; remittances to others
- Food expenditures: Food expenditures in the past 14 days and past 12 months; consumption of home production in past 12 months
- Fertility: Birth history; use of maternity services and duration of breastfeeding for last live birth.
- Other income: Income from other sources, including remittances from others.
- Savings and credit: Savings and net debt the day of the interview; characteristics of outstanding loans to household members.
- Anthropometrics: Height and weight measurements of all household members performed by anthropometrist.
- Household composition last year
Community Questionnaire
- Demographic Information: Population of the village, religion, ethnic groups, migration patterns
- Economy and Infrastructure: Main economic activities of the village, economic trends, transport and communication, utilities (electric current and running water), markets, seasonal labor markets
- Education: Characteristics and location of the nearest primary and secondary schools, adult literacy programs
- Health: Access to health personnel and facilities
- Agriculture: Major crops grown in the village, planting and harvesting seasons, marketing services for major crops, agricultural extension services, cooperatives, equipment and inputs, agricultural wages, sharecroppingThe principal objective of the sample selection process for the CILSS Household Survey was to obtain a nationally representative cross-section of African households, some of which could be interviewed in successive years as panel households.
A two-stage sampling procedure was used. In the first stage, 100 Primary Sampling Units (PSUs) were selected across the country from a list of all PSUs available in the sampling frame. At the second stage, a cluster of 16 households was selected within each PSU. This led to a sample size of 1600 households a year, in 100 cluster s of 16 households each. Half of the households were replaced each year while the other half (the panel households in 1986, 1987 and 1988) were interviewed a second time.
It is important to note that there was a change in the sampling procedures (the sampling frame, PSU selection process and listing procedures), used to select half of the clusters/households interviewed in 1987 (the other half were panel households retained from 1986), and all of the clusters/households interviewed in 1988. Households selected on the basis of the first set of sampling procedures will henceforth be referred to as Block 1 data while households based on the second set of sampling procedures will be referred to as Block 2 data.
>> Sampling Procedures for Block 1 Data
The Sampling Frame. The sampling frame for the 1985, 1986, and half of the 1987 samples (except for Abidjan and Bouaké) was a list of localities constructed on the basis of the 1975 Census, updated to 1983 by the demographers of the Direction de la Statistique and based on a total population estimated at 9.4 million in 1983.
The Block 1 frame for Abidjan and Bouaké was based on data from a 1979-80 electoral census of these two cities. The electoral census had produced detailed maps of the two cities that divided each sector of the city into smaller sub-sectors (îlots). Sub-sectors with similar types of housing were grouped together by statisticians in the Direction de la Statistique to form PSUs. From a list of all PSUs in each city, along with each PSU's population size, the required number of PSUs were selected using a systematic sampling procedure. The step size was equal to the city's population divided by the number of PSUs required in each city. One problem identified in the selection process for Abidjan arose from the fact that one sector of the city (Yopougon) which had been relatively small in 1980 at the time of the electoral census, had since become the largest agglomeration in Côte d'Ivoire. This problem was presumably unavoidable since accurate population data for Yopougon was not available at the time of the PSU selection process.
Selection of PSUs. Geographic stratification was not explicitly needed because the systematic sampling procedure that was used to select the PSUs ensured that the sample was balanced with respect to region and by site type, within each region. The main geographical regions defined were: East Forest, West Forest, and Savannah. Site types varied as follows: large cities, towns, large and small villages, surrounding towns, village centers, and villages attached to them. The 100 PSUs were selected, with probabilities proportional to the size of their population, from a list of PSUs sorted by region and within each region, by site type.
Selection of households within each PSU. A pre-survey was conducted in June-July of 1984, to establish the second-stage sampling frame, i.e. a list of households for each PSU from which 16 households could be selected. The same listing exercise was to be used for both the 1985 and 1986 surveys, in order to avoid having to conduct another costly pre-survey in the second year. Thus, the 1984 pre-survey had to provide enough households so as to be able to select two clusters of households in each PSU and to allow for replacement households in the event that some in the sample could not be contacted or refused to participate. A listing of 64 households in each PSU met this requirement. In PSUs with 64 households or fewer, every household was listed.
In selecting the households, the "step" used was equal to the estimated number of households in the PSU divided by 64. For example, if the PSU had an estimated 640 households, then every tenth household was included in the listing, counted from a random starting point in the PSU. For operational reasons, the maximum step allowable was a step of 30. In practice, it appears that enumerators used doors, instead of housing structures, in counting the step. Al though enumerators were supposed to start the listing process from a random point in the PSU, in rural areas and small towns, reportedly, the lister started from the center of the PSU.
>> Sampling Procedures for Block 2 Data
The Sampling Frame. The sampling frame for Block 2 data was established from a list of places from the results of the Census of inhabited sites (RSH) performed in preparation for the 1988 Population Census.
Selection of PSUs. The PSUs were selected with probability proportional to size. However, in order to save what might have been exorbitant costs of listing every household in each selected PSU in a pre-survey, the Direction de la Statistique made a decision to enumerate a smaller unit within each PSU. The area within each PSU was divided into smaller blocks called `îlots'. Households were then selected from a randomly chosen îlot within each PSU. The sample îlot was selected with equal probability within each PSU, not on the basis of probability proportional to size. (These îlots are reportedly relatively small compared with the size of PSUs selected for the Block 1 frame, but no further information is available about their geographical position within the PSUs.)
Selection of households within each PSU. All households in each îlot selected for the Block 2 sample were listed. Sixteen households were then randomly chosen from the list of households for each îlot.
>> Bias in the Selection of Households within PSUs, Block 1 Data
Analysis of the four years of the CILSS data revealed that household size (unweighted), dropped by 24 percent between 1985 and 1988. Three possible explanations were considered: (1) area l demographic change; (2) non-sampling measurement errors were involved; or (3) some sort of sampling bias. Investigation ruled out the first two possibilities. The third possibility clearly was an issue because the sampling frame and listing procedures had indeed changed in midstream and this was likely to have had an effect. In fact, the investigation found that the substantial part of the drop in household size over the years occurred between the first and second panel data sets in 1987, i.e. the tail end of Block 1 data and the start of Block 2 data. From this, it is reasonable to assume that differences in the sampling frame and sampling procedures between the two blocks were indeed responsible.
The listing procedures for Block 1 data indicate d that the selection of households within PSUs was likely to have been biased toward the selection of larger dwellings. Based on a discussion with Christopher Scott, statistical consultant, Demery and Grootaert explain as follows: "In the selected primary sampling units, where the listing of households was to occur, enumerators were instructed to start the listing process at a random location in the primary sampling unit and from this point to select every nth household, that is, with a given fixed "step" until sixty-four households were listed. There are two sources of potential bias in this listing procedure. First, the selection of the starting point might not have been random, but subject to motivated bias on the part of the enumerator (such as the selection of a point where there are numerous dwellings or that is easily accessible). Second, in practice, enumerators counted doors to achieve the "step", rather than counting actual households. This method leads to sample selection bias if the number of doors varies across households. Households with two doo rs will have twice the probability of selection as those with one door. Given that larger dwellings are more likely to have more doors than small dwellings, counting households on the basis of doors may have caused a bias in the sample leading to over-enumeration of large dwellings, and, thereby, large households. In fact, mean dwelling size recorded in the CILSS was significantly higher in 1985 and 1986 than in 1987 and 1988, supporting this interpretation." As explained by Christopher Scott, the sample selection bias towards larger households is reinforced because "where more than one house hold shares a door, the survey structure implicitly required that only one be selected. In the absence of specific instructions there would be a natural tendency to choose the main one, thus reinforcing the bias towards large households". One set of weights is provided to reconcile this bias (Household Size Weights).
>> Problems Due to Inaccurate Estimates of PSU Population
Scott and Amenuvegbe address the problem arising from the fact that the estimates of population used to select PSUs with probability proportional to size, are often outdated and inaccurate. The degree of inaccuracy increases with the number of years that have elapsed since the previous census. The extent of inaccuracy becomes clear when the listing process is completed for the PSU and the 'correct' population size becomes available. This deviation between the PSU's estimated population size and the 'correct' size needs to be addressed either by varying the sample 'take' in each PSU or by assigning corrective weights for each PSU, m' i/ni or m'i/mi, where m'i is the number of households found in the ith PSU at the listing stage and ni or mi is the measure of size (n=population, m=households) used in the first stage PSU selection. [Note: Omission of this weight has two effects: (1) a bias in favor of PSUs whose population has grown relatively slowly (or diminished) since the census, and against those that have grown exceptionally fast; and (2) a bias in favor of PSUs whose current mean household size is relatively large (Chris Scott, personal communication).]
As has been mentioned earlier, the CILSS implemented a fixed 'take' of 16 households per cluster, and one cluster per PSU. Given these rules, any attempt to address this issue would have to rely on corrective m'i/ni weights. However, it is not possible to calculate these weights either for Block 1 data (m' I is not available since only 64 households per cluster were listed); or for Block 2 data (m' i is not available since the enumeration area was the îlot and not the PSU).
>> Classification of Clusters by Geographic Location
A list of all CILSS clusters, their region, sub-prefecture (for rural clusters), and year of interview, are presented in Table IV. Regional classification was constructed so that clusters in Abidjan would be classified as Abidjan; clusters in other major cities in East Forest, West Forest and Savana would be classified as "Other Cities "; and only rural clusters would be included in the East Forest, West Forest and Savanna. Thus, the urban-rural classification is as follows: Urban - Abidjan and Other Cities; Rural - East Forest, West Forest and Savanna. The precise location of the clusters is noted on the map on the inside cover. The list of Sample Clusters is available in document "Basic information for users of the data".
>> Non-Response and Replacement of Households
In order to maintain the size of the sample, the 1985 CILSS instituted a procedure by which households in the original sample that refused or were unavailable were replaced by one of the 48 remaining households in the same cluster, enumerated during the pre-survey. The pre-survey questionnaire collected summary information about household size and a few socioeconomic characteristics of the household. Thus, for the first year of the CILSS, households were replaced (when necessary) by one of the remaining 48 households that most resembled it in terms of size and characteristics. During the first year of the survey, a total of 124 of the 1600 original sample households (7.8 percent) were not interviewed and were thus replaced by other households. The most common reason for non-response in the first year was the inability to locate the address or housing unit. Only 14 households (0.9 percent of the sample) were found but refused to participate, and these were all in Abidjan.
In the second and subsequent years, the effort to replace non-responding households with other like households was abandoned. Households were replaced by the first household on the list of those remaining from the pre-survey or listing operation. (In 1986, there was a maximum of 32 households left in each cluster that were unused from the pre-survey.)
>> Selection of the Respondent for the Section on Fertility
The survey collected fertility information for one woman per household. The woman, aged 15 or older, was selected at random from among household members, so that each eligible woman in a household had the same probability of being selected. The method used was to generate random permutations of household members' personal identification numbers on adhesive labels. Each questionnaire was affixed with a label. In order to select a woman at random, the interviewer scanned the list of personal id codes on each label until arriving at the id number of the first eligible female household member. Besides providing a random means of selection, this methodology ensured that the interviewer's selection of the respondent was verifiable and replicable by the supervisor.Face-to-face [f2f]The description below is extracted from
This document provides more detailed information on changes in the CILSS questionnaires across years.
>> HOUSEHOLD QUESTIONNAIRE
The household questionnaire was administered to all households in two visits or "rounds", with an interval of two weeks between the two interviews. The two-round scheme had certain useful advantages. For sections in Round 2, that collect information on household expenditure and income, it was possible to use a bounded recall period with the bound being the first visit of the interviewer. Correction and verification of doubtful data from the first visit was also possible during the second visit to the same households. The two-round scheme had the added advantage of breaking up what might have otherwise been a prohibitively long interview into two smaller sessions.
The following description of the CILSS household questionnaire contents outlines the main topics covered in each section and points out the changes that took place in the questionnaires over the survey years. The questionnaire was almost entirely pre-coded. However, the responses to a few questions were not pre-coded.
SECTION 0: ADMINISTRATIVE INFORMATION
Part A collects information on the ethnic group of the household head, language of the interview, whether the household was a replacement household, date of verification by the supervisor, date of data entry, and date of supervision of printouts. In Part B, the interviewer records the date that individual sections were completed.
SECTION 1: HOUSEHOLD ROSTER
Part A: Household Roster
This section lists all people w ho normally live and eat their meals together in the dwelling as well as those who spent the previous night in the household, but cannot otherwise be considered household members. To qualify as a household member, a person must have resided in the household for 3 months or more during the previous 12 months. Since the number of months the person was resident in the household is recorded, users of the data can choose a more restrictive definition if they wish. For example, one study used six months of residence, rather than three months, as the criterion for household membership. The household head, newborn babies and new spouses are considered household members even if they do not satisfy the months of residence criterion. CILSS always excludes servants and boarders from household membership because they are considered to be separate households.
Part B: Information on Parents
Information on schooling and occupation of the parents of all household members is collected in this section, even if the parents are deceased. If the parents live in the same household, then the parents' ID codes are noted so as to enable linkage of information about the parents with information about the child.
SECTION 2: HOUSING
This section includes a description of the dwelling, housing expenses (including rent and utilities), source of water, cooking fuel and light, garbage disposal and type of toilet.
SECTION 3: EDUCATION
Part A: Education of Household Members
This section includes self-reported literacy and numeracy, years of schooling, number of hours of attendance at school in the past seven days, whether the person is currently enrolled in school, distance to school, time taken to get to school, apprenticeships, technical training, highest diploma obtained, and expenditure on education in the past twelve months for those who have been enrolled. The CILSS questionnaire collected this information for each household member five years or older so that welfare differences across individual household members could be studied.
Part B: Education of Children Living Elsewhere
The purpose of this section is to evaluate the total investment in education that was made by the household, including children who are not currently household members. Age, sex, and educational achievement of children below 30 who have left the household are recorded.
SECTION 4: HEALTH
This section focuses on the economic costs of health problems of all household members. The key questions are whether the household member was ill or injured over the past 4 weeks (self-reported), how many days of activity were lost due to illness, who w as consulted for the illness and the time and monetary cost of consultations.
SECTION 5: EMPLOYMENT ACTIVITIES
Part A: Time Use
Six questions are asked to determine whether the person did any work (salaried work, own account including farming, or working for a household enterprise) in the last seven days or over the past twelve months. An individual who did not work during the past seven days is asked a set of standard questions about job search. If an individual did not work over the past year either, then the interviewer is asked to skip to Part 5H.
Part B: Main Job in the Past Seven Days
For those who did work over the past seven days, questions are asked about the occupation and industry, time devoted to the job, income earned from it, and also whether their parents did the same work. Detailed information is gathered for wage earners: cash and in-kind income, distance to work, and time spent commuting, size of the firm where the individual works, whether the firm has a union and whether workers receive various types of social benefits.
Part C: Secondary Job in the Past Seven Days
Pertains to the secondary job held over the past seven days.
Part D: Search for Additional Work
This part is asked of everyone who worked in the last seven days.
Part E: Main Job in the Past Twelve Months
This section pertains to the main job held during the past twelve months.
Part F: Job History
For the latest job prior to the current one, the individual is asked to describe the occupation, the type of industry, whether the individual was self-employed or working for someone else in their own household, and how long the individual was employed in that job.
Part G: Secondary Job in the Past Twelve Months
This part pertains to the secondary job held during the past twelve months. Questions are similar to those in Part 5C about the main job over the past seven days.
Part H: Other Activities
This part is asked of all individuals to whom Section 5 was administered. It records the amount of time spent by each person in housework activities, such as cleaning, food preparation, laundry, shopping, and fetching water or wood. In addition, a set of questions is asked about periods of unemployment during the past twelve months, including a question about seasonal unemployment in the agricultural sector.
SECTION 6: MIGRATION
This section is asked of all household members 15 and older. Information is obtained on the place of birth, the most recent migration (to the current place of residence) and the total number of times a migratory move was made.
SECTION 7: IDENTIFYING RESPONDENTS FOR THE SECOND INTERVIEW
This section serves the purpose of identifying the household members who will be the respondents for certain sections in the Round 2 interview (two weeks later) and making appointments with them. Appointments are made with respondents who will answer questions from the Round 2 sections on farming, non-agricultural businesses operated by the household, and household expenditures. Also, one woman per household is selected to answer questions on fertility.
SECTION 8: CHARACTERISTICS OF HOUSING
Information is recorded on the construction material of the walls, floor, roof, and windows of the household's dwelling. The floor area of the dwelling was measured and is recorded in square meters.
SECTION 9: AGRO-PASTORAL ACTIVITIES
Part A: Land
This part asks about the amount of land owned, rented and cultivated by the household, land sales, gifts and trades, and land sharecropped in and out.
Part B: Crops
For each of 32 crops grown, Section 9B collects information on: (i) the number of hectares devoted to each crop, including those already planted but not yet in production; (ii) the amount and value of the crops sold in the last twelve months; (iii) the value of the output retained as seedlings for next year's crops; and (iv) the value of the amount given to workers or as gifts; and (v) whether there was any inter-cropping of that crop.
Part C: Age of Tree Crops
For coffee, cocoa, and other tree crops, questions are asked about the proportion of plants too young to produce, in full production and at the end of their productive lives.
Part D: Agricultural Inputs and Expenses
This part records the use of agricultural inputs by the household, their cost and for what crops. It asks whether the input was obtained with cash or credit and the source of the input (market or government agency?). It also asks about the extent to which exchange of labor took place with other farmers, the incidence and terms of sharecropping, the extent of food storage, and the availability of agricultural extension services.
Part E: Processing of Food Crops
For each processed crop, how much was received as revenue from the sale of the product, and how much was spent for the cost of processing inputs?
Part F: Livestock
For each type of livestock, the questionnaire records the number of and value of livestock currently owned, the number of and value of livestock sold over the past year, the number of and value of livestock purchased over the last year, and the number of livestock lost over the year due to other reasons.
Part G: Animal Products
This part records the animal products produced and the amount that was received over the past year from their sale.
Part H: Mutual Aid for Livestock
This part requests the number of person-days devoted to a traditional system of mutual help among farmers and the number of contacts with government extension agents regarding livestock are recorded.
Part I: Livestock Expenses
Costs associated with raising livestock are recorded in this section. Where livestock inputs were obtained is also recorded.
Part J: Farm Tools
For a list of the main small tools used by Ivorian farmers, the number of tools owned by the household is recorded, by type of tool.
Part K: Farm Equipment
For each type of farm equipment (not tools) such as tractors, carts, vehicles and draft animals, questions are as ked about the value of the current stock, the value of transactions that took place within the past twelve months, and whether the household made money by renting equipment out to other farmers.
SECTION 10: NON-FARM SELF EMPLOYMENT ACTIVITIES
Information on up to three businesses per household is gathered in this section. If a household operates more than three businesses, the household head is asked to identify the three most important ones.
Part A: Revenue Information
Information on revenues from household businesses is obtained. In addition, questions about the number of workers, presence of a union, and provision of benefits are asked.
Part B: Expenditures
This part records costs incurred by each business, either in the form of c ash expenses or inputs from within the household, from a list of all major expenditures that may occur in a household enterprise, e.g. hired labor, raw materials, transportation and electricity.
Part C: Capital and Inventory
This part records the value of productive assets and stocks, such as unsold goods, buildings, vehicles or equipment.
SECTION 11: HOUSEHOLD EXPENDITURES AND INVENTORY OF DURABLE GOODS
Part A: Daily Expenditures
The amount spent since the enumerator's last visit is recorded for a list of non-food items that the household can be expected to purchase daily or very frequently.
Part B: Annual Expenditures
Expenditures on all remaining non-food items, including taxes, are recorded, with respect to two reference periods: since the last visit of the enumerator during Round 1; and over the last twelve months.
Part C: Inventory of Durable Goods
For a list of commonly owned durable goods, the following information is recorded: age of the item, payment made at the time of purchase, and an estimate of the value of the good at the time of the interview.
Part D: Expenditures on Remittances
Expenditures on remittances to non-household members are recorded. Other questions include: relationship of the recipients to the household head; the geographic destination of the remittances; and whether the money is to be considered a gift or a loan.
SECTION 12: FOOD EXPENDITURES AND CONSUMPTION OF HOME PRODUCTION
Part A: Food Expenditures
This part records expenditure on purchased food for the period bounded by the initial visit of the interviewer and over the last twelve months.
Part B: Consumption of Home Production
This part records the monetary value of the household's consumption of home produced food.
SECTION 13: FERTILITY
This section records the total number of pregnancies and live births for the randomly selected adult female in the household. Other questions in the section pertain to the use of maternity services and extent of breastfeeding for the latest birth; the number of still births and miscarriages; and the respondent's marital status.
SECTION 14: OTHER INCOME
Part A: Non-Labor Income
Records non-labor income from various sources such as social security, pensions, dividends and interest, tontine, gifts, inheritance and scholarship. Revenues from sales of household assets over the past twelve months are also recorded.
Part B: Remittance Income
Remittances received by the household from outside sources are recorded. Details include: amount of the remittance, relationship of the sender to the household head, geographic location of the sender's place of residence, and whether part of the remittance is to be repaid to the sender.
SECTION 15: CREDIT AND SAVINGS
Part A: Loans Made and Received
This part records the total amount of loans provided by the household to others, total amount borrowed from institutions or from other people.
Part B: Credit
If the household borrowed money, information is gathered about the lender and on the terms of the loan.
Part C: Savings
Total value of all savings is recorded.
SECTION 16: ANTHROPOMETRICS
This section is not printed in any of the questionnaires, which was introduced during the seventh month (in September 1985) of the first survey year. Section 16 was designed to obtain weight and height measurements for all household members interviewed, including both children and adults. The interviewer recorded the date of measurement, weight in grams and height in centimeters for each household member measured. If the person was not measured, the interviewer had to record the reason (person is away, ill, etc).
SECTION 17
This section was introduced during the second year of the survey to enable the identification of panel households and panel household members from one survey year to the next and to track the movements of those who are no longer members of the household. This section was generated by computer as a unique form for every panel household, based on that household's data from the previous year. The first column contains the ID cod e of each household member interviewed during the previous year. The second column contains the name associated with that ID code. [Because only household members from the previous year are listed, and not visitors and other non-household members, there are sometimes gaps in the "old" ID codes on the list.] Also, contained in a small box next to the name, are the age and sex of that household member. This was designed to assist the interviewer in identifying the household member in question, but was not reentered in the data entry program. All of these were generated by computer and provided to the interviewer. The answer to Question 1, "Is this person found in the household roster this year?", determines whether or not that person is still part of the same household. For those household members who are no longer in the household, this section asks questions about the reason for their absence (death or moving away). If the household member moved away, questions are asked about why he moved, and if he moved out of the cluster, where he moved to. If the person is still part of the household (i.e. answer to Q.1 is yes), then the new ID code for that person is copied from the household roster as answer to Q.2. Having the old and new ID codes enables the linkage of panel household members from one year to the next.
>> COMMUNITY QUESTIONNAIRE
The Community Questionnaire measures the access of the community to economic infrastructure and basic social services. It was completed in each rural cluster. The objective of the Community Questionnaire was to measure characteristics common to all households in a cluster. The questions were asked of a group of respondents who had detailed knowledge of the village. Typically, the group of respondents included the village chief and other prominent members of the community.
>> PRCE QUESTIONNAIRE
A price survey was conducted in parallel with the CILSS household survey as part of the same project. The main purpose of the price survey was to provide price data with which regional or cluster level price indices could be constructed.
The items in the price questionnaire were chosen to include:
1. Frequently purchased items, according to the results of the 1979 Côte d'Ivoire Budget-Consumption Survey
2. Items for which data were already being collected by the Price Index division of the Direction de la Statistique
3. Food items included in the section of t he household questionnaire on consumption of home-grown produce (this would allow for the conversion of the value of home production consumed by the household into quantities).
The price survey collected information on prices of both food and non-food commodities in the main market of each of the clusters in which the household survey was conducted. The price data were collected at the same time that the households in the c luster were surveyed. When there were at least three vendors selling an item, up to three prices were collected for each item, usually from different parts of the market. Weighing scales were used to determine the exact weight of food items. Weights were to always be recorded in grams. None of the items weighed were purchased by the survey. If a vendor refused to allow his products to be weighed, then a client had to be awaited so that information based on the sale could be recorded.
For the first two years, 1985 and 1986, information was collected for 22 commodities, including 18 food and 4 non-food items. Each item in the price survey was numbered; these numbers were used in naming variables in the price data sets. In 1987, the number of commodities was increased.
>> HEALTH FACILITY SURVEY QUESTIONNAIRE (CILSS 1987)
During the third year of the CILSS Survey, a new Health Facility Survey was implemented to collect more detailed information on the quality and type of health services available to CILSS households. The Health Facility questionnaire was administered to the dispensary and maternity clinic closest to or located within each cluster of households, in both urban and rural areas. Based on the community questionnaires of the second year, a list was made of all the nearest dispensary and maternity clinics to each cluster. Except for urban clusters, these facilities were generally not in the same place as the households being interviewed. This survey was conducted in 1987 only.
The purpose of collecting the health facility data was to analyze household demand for medical care as a function of the characteristics of the services. Accordingly, the facilities surveyed are not a random sample of all health facilities in Côte d'Ivoire. Therefore, the data should not be used to generate national or regional statistics on health services.>> Field-Testing of the Questionnaires Prior to Survey Implementation
Over 80 households were contacted during the two and a half week field test preceding the first year of the survey. Individuals and households engaged in a wide range of activities were contacted in rich and poor neighborhoods of the two largest cities, in a small town, in fishing and plantation villages along the coast, in villages in the southeastern coffee and cocoa-growing region, and in subsistence villages in the northern savanna.
>> Field Procedures
Data for the CILSS was collected by 5 data collection teams, two of which were stationed in Abidjan and three of which operated out of regional offices of the Direction de la Statistique in Abengourou, Bouake and Man. Each data collection team included a supervisor, two interviewers, an anthropometrist, a data entry operator and a driver.
During a typical four-week period, the data collection team completed interviews for two clusters of households. Round 1 was asked in Cluster A during the first week; during the second week, Round 1 was asked in Cluster B. The team returned to Cluster A to ask Round 2 during the third week and during the fourth week, the team returned to Cluster B for Round 2.
The field procedures for each cluster were as follows. Having completed Round 1 in a cluster (Sections 1-8 and where appropriate, Sections 16 and 17), the team returned with the partially completed questionnaires to the regional office. The Data Entry Operator (DEO) entered the data using a special data entry program designed to detect and flag inconsistencies. The data entry program produced, for each household, a printout of a ll the data entered and a list of inconsistencies within and between sections. In the regional office, the supervisor reviewed the questionnaires and printouts to detect interviewer and data entry errors. Interviewer errors were marked directly on the questionnaire, and data entry errors were marked on the printouts.
During Round 2 interviews, the interviewers re-asked the inconsistent or erroneous parts of Round 1 flagged by the supervisor, before proceeding with Round 2 (Sections 9-15) of the questionnaire. At the regional office, the data entry operator made the necessary corrections to Round 1 data and entered Round 2 data. He/she then produced a printout of data from both rounds of the survey. The supervisor reviewed the printout to verify that all sections had been correctly entered by the DEO. Any errors detected were marked on the printouts and subsequently corrected by the operators.
During Round 1, the anthropometrist recorded the height and weight of all household members. During Round 2, individuals whose height and weight measurements were flagged as outliers by the data entry program were re-measured. In addition, the data entry program randomly selected 20% of all individuals to be re-measured during the second round.
Amongst other duties, the supervisor had an important role in the quality control aspects of the data collection process. His responsibilities included: coding answers that were not precoded in the questionnaire; conducting random reinterviews of 25 percent of the households in the cluster; checking that all parts of the questionnaire were properly completed before returning to the regional office; and reviewing printouts from both rounds of the questionnaire to detect interviewer and data entry errors, and supervising correction of all errors in the field and in the office.
Changes in field procedures over time were minimal and went in the direction of improved supervision. Some reassignment of interviewers took place but there is no evidence that this affected data quality. The definition of household members remained the same over the four years. However, there were lapses in the data entry of the Community and Price Survey data for 1988: the price data for 1988 were never entered and subsequently lost.
>> Timing of Survey Implementation
The CILSS survey was fielded on the following dates:
- First year ("1985"): 16th February 1985 to 25 January 1986
- Second year ("1986"): 22nd February 1986 to 24 January 1987
- Third year ("1987"): 14th March 1987 to 13th February 1988
- Fourth year ("1988"): 28th May 1988 to 29th April 1989The general consensus is that the quality of the CILSS household data is very good. An informal review of data quality conducted by Ainsworth and Mehra (1988) assessed the 1985 and 1986 CILSS data in terms of their accuracy, completeness, and internal consistency. The CILSS household data were found to score high marks on each of these three counts.
>> Accuracy
One measure of data quality is the extent to which individuals in question respond for themselves during the interview, rather than having proxy responses provided for them by other household members. The investigation of CILSS household survey data for 1985 and 1986 showed that 93 percent of women responded for themselves to the fertility section and that 79 to 80 percent of all adult household members responded for themselves to the employment module. The percent of children responding for themselves to the employment module was far less, 43 to 45 percent. Nevertheless, these rates were found to be higher than for the Peru Living Standards Survey (29 percent).
>> Completeness
Investigation of several variables and modules in the CILSS (sex, age, parental characteristics, schooling, health, employment, migration, fertility, farming and family business), found that missing data in the household survey are rare. Rates for missing data were found to be close to 0 (0.01 to 0.05 percent) in many cases, but in any case, no higher than 0.76 percent.
>> Internal Consistency of Data
The Household Questionnaire was almost entirely pre-coded, thus reducing errors involved in the coding process. Also, the decentralized data entry system allowed for immediate follow-up on inconsistencies that were detected by the data entry program. Household and personal identification codes were recorded in each section, facilitating merging data across sections.
A comparison of the distribution of household size in the 1988 Côte d'Ivoire Census with the 1988 CILSS showed a strong similarity. Grootaert (1992) provides a brief assessment of the CILSS data quality. "...Quality control during CILSS data collection and data entry were extraordinary in comparison with usual survey practice (see Ainsworth and Munoz, 1986; Grootaert, 1986; Daho, 1992). The many analyses undertaken with the data have shown a high degree of internal consistency in the data. ... Selected demographic variables from the survey have been compared with the Côte d'Ivoire Fertility Survey and were found to be consistent (Ainsworth, 1989). Farming information in the CILSS was evaluated against other sources and found to be quite good (Deaton and Benjamin, 1988). .... The pattern of household expenditure observed for Côte d'Ivoire a s a whole is entirely consistent with the pattern of macroevolution recorded in the national accounts and in other macro data. Both the upturn in 1986 and the decline in 1987-88 are picked up by the CILSS data. In summary, we feel confident that the CILSS data are a valid data source to explore the evolution of welfare and poverty..."
Another assessment of CILSS data quality, "The CILSS: A Preliminary Assessment of Data Quality" by James Daniel and Lionel Demery, examines some demographic variables from the household roster and finds that errors as a percentage of total observations are very small and that data consistency improved over time. The paper also examined consistency among the panel households from one year to the next and found that, while the gender variable had a very low error rate (1%), the error rate for age was a higher 10.7%. (If the difference in reported ages was more than one year, allowing for the fact that panel households were interviewed one year apart, that was defined as an error). However, since many people in rural areas of Africa do not know their age with accuracy, and age reporting involves some degree of guesswork, this finding is probably not reflective of any underlying data problems.
Detailed assessments of the quality of CILSS Community and Price Surveys are not available.World Bank LSMSIn 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:
Institut National de la Statistique
B.P. V55
Abidjan
Cote d'Ivoire
fax: (225)-21-44-01
e-mail: statistique@aviso.ci
AND
The World Bank
Development Economics Research Group
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Washington, DC 20433, USA
tel: (202) 473-9041
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3. The researcher will refer to the 1986 Côte d'Ivoire Living Standards Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the Institut National de la Statistique 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.F00A.NSDstatSection 0172250Nesstar 200801F00B.NSDstatSection 02394216Nesstar 200801F00C.NSDstatSection 0160136Nesstar 200801F01A.NSDstatHousehold Roster1386721Nesstar 200801F01B.NSDstatHousehold Roster1291121Nesstar 200801F02.NSDstatHousing160152Nesstar 200801F02A.NSDstatHousing159914Nesstar 200801F02B1.NSDstatHousing160128Nesstar 200801F02B2.NSDstatHousing160118Nesstar 200801F03A1.NSDstatEducation1072922Nesstar 200801F03A2.NSDstatEducation288218Nesstar 200801F03B.NSDstatEducation352914Nesstar 200801F04.NSDstatHealth1291024Nesstar 200801F05A.NSDstatEmployment987123Nesstar 200801F05B1.NSDstatEmployment482621Nesstar 200801F05B2.NSDstatEmployment61017Nesstar 200801F05B3.NSDstatEmployment60920Nesstar 200801F05B4.NSDstatEmployment60917Nesstar 200801F05C1.NSDstatEmployment23721Nesstar 200801F05C2.NSDstatEmployment715Nesstar 200801F05D.NSDstatEmployment483017Nesstar 200801F05E1.NSDstatEmployment571520Nesstar 200801F05E2.NSDstatEmployment9117Nesstar 200801F05E3.NSDstatEmployment9120Nesstar 200801F05E4.NSDstatEmployment9116Nesstar 200801F05F.NSDstatEmployment571612Nesstar 200801F05G1.NSDstatEmployment43119Nesstar 200801F05G2.NSDstatEmployment43215Nesstar 200801F05H.NSDstatEmployment987213Nesstar 200801F06.NSDstatMigration669916Nesstar 200801F07.NSDstatID of Round 2 Respondents160125Nesstar 200801F08.NSDstatHousing Characteristics159710Nesstar 200801F09A1.NSDstatAgriculture101916Nesstar 200801F09A2.NSDstatAgriculture101818Nesstar 200801F09B.NSDstatAgriculture759118Nesstar 200801F09C.NSDstatAgriculture288711Nesstar 200801F09D1A.NSDstatAgriculture50210Nesstar 200801F09D1B.NSDstatAgriculture22810Nesstar 200801F09D1C.NSDstatAgriculture249Nesstar 200801F09D2A.NSDstatAgriculture38110Nesstar 200801F09D2B.NSDstatAgriculture1528Nesstar 200801F09D2C.NSDstatAgriculture29210Nesstar 200801F09D3A.NSDstatAgriculture58Nesstar 200801F09D3B.NSDstatAgriculture101510Nesstar 200801F09D4A.NSDstatAgriculture419Nesstar 200801F09D4B.NSDstatAgriculture3899Nesstar 200801F09D4C.NSDstatAgriculture13727Nesstar 200801F09D5.NSDstatAgriculture2668Nesstar 200801F09E.NSDstatAgriculture30711Nesstar 200801F09F.NSDstatAgriculture119117Nesstar 200801F09G.NSDstatAgriculture216Nesstar 200801F09H.NSDstatAgriculture6768Nesstar 200801F09I.NSDstatAgriculture1267Nesstar 200801F09J.NSDstatAgriculture101710Nesstar 200801F09K.NSDstatAgriculture29815Nesstar 200801F10A.NSDstatNon-Farm Self-Employment74438Nesstar 200801F10B.NSDstatNon-Farm Self-Employment180810Nesstar 200801F10C.NSDstatNon-Farm Self-Employment9787Nesstar 200801F11A.NSDstatExpenditures and Inventory of Durable Goods58276Nesstar 200801F11B.NSDstatExpenditures and Inventory of Durable Goods222178Nesstar 200801F11C.NSDstatExpenditures and Inventory of Durable Goods45199Nesstar 200801F11D.NSDstatExpenditures and Inventory of Durable Goods111710Nesstar 200801F12A.NSDstatFood Expenses and Consumption of Home Production2632111Nesstar 200801F12B.NSDstatFood Expenses and Consumption of Home Production65709Nesstar 200801F13A.NSDstatFertility14958Nesstar 200801F13B.NSDstatFertility620614Nesstar 200801F13C.NSDstatFertility149219Nesstar 200801F14A.NSDstatOther Income12726Nesstar 200801F14B.NSDstatOther Income57510Nesstar 200801F15A.NSDstatSavings15988Nesstar 200801F15B.NSDstatSavings78922Nesstar 200801F15C.NSDstatSavings155816Nesstar 200801F16.NSDstatAnthropometrics1315421Nesstar 200801F16A.NSDstatAnthropometrics1311013Nesstar 200801F16B.NSDstatAnthropometrics604213Nesstar 200801F17.NSDstatID of Panel Households625713Nesstar 200801SET01.NSDstat7953Nesstar 200801SET01IND.NSDstat65373Nesstar 200801SET02.NSDstat793Nesstar 200801SET02IND.NSDstat4483Nesstar 200801SET03.NSDstat7143Nesstar 200801SET03IND.NSDstat57623Nesstar 200801SET04.NSDstat7143Nesstar 200801SET04IND.NSDstat57363Nesstar 200801SET05.NSDstat863Nesstar 200801SET05IND.NSDstat4953Nesstar 200801SET06.NSDstat1073Nesstar 200801SET06IND.NSDstat7693Nesstar 200801SET07.NSDstat6933Nesstar 200801SET07IND.NSDstat53993Nesstar 200801SET08.NSDstat6933Nesstar 200801SET08IND.NSDstat50993Nesstar 200801SET09.NSDstat1073Nesstar 200801SET09IND.NSDstat6713Nesstar 200801SET10.NSDstat993Nesstar 200801SET10IND.NSDstat5733Nesstar 200801SET11.NSDstat7013Nesstar 200801SET11IND.NSDstat45703Nesstar 200801SET12.NSDstat7013Nesstar 200801SET12IND.NSDstat45773Nesstar 200801SET13.NSDstat993Nesstar 200801SET13IND.NSDstat5233Nesstar 200801SET14.NSDstat8013Nesstar 200801SET14IND.NSDstat47683Nesstar 200801HHINC86.NSDstatHousehold Income Aggregates
The survey data contain all necessary information for the construction of a complete set of current accounts for each household. Since income and expenditure data are available in great detail throughout the questionnaire permitting the calculation of detailed income and expenditure aggregates, this enables, theoretically, the derivation of savings as a residual.
Given the complexity and detail involved in the different income and expenditure modules, it is possible to build household income and expenditure aggregates in different ways, each of which are legitimate but which may provide considerably different results. Thus, various researchers have constructed their own Income and Expenditure Aggregates using CILSS data. However, only one set of researchers constructed a complete set of income and expenditure aggregates for all four years of the CILSS (85-88), along with their sub-aggregate components, namely the research project "Poverty and the Social Dimensions of Structural Adjustment in Côte d'Ivoire" (RPO 675-26). Oh and Venkataraman (1992) document in detail all of those income and expenditure aggregates and sub-aggregates. The documentation includes data set names, documentation of procedures used to `clean' the data, clear the data of outliers (including information on the percentage of observations classified as outliers), and the summation procedures used to build up variables in the questionnaire into sub-aggregate level variables and finally into aggregates.
Since this set of aggregates is also the only one which is accompanied by documentation, it is the only dataset of aggregates formally available for public use. However, users should be cautioned that these data are cleared of outliers and therefore, researchers who want the presence of outliers in their data in the belief that they are meaningful, may not find this set of aggregates suitable.
Total Household Income = Wage Income + Farm Income - Depreciation of Farm Equipment + Non-Farm Income + Non-Farm Capital Asset Depreciation + Rental Income + Income from Scholarships + Income from Remittances + Other Income.159815Nesstar 200801HHEXP86.NSDstatHousehold Expenditure Aggregates
The survey data contain all necessary information for the construction of a complete set of current accounts for each household. Since income and expenditure data are available in great detail throughout the questionnaire permitting the calculation of detailed income and expenditure aggregates, this enables, theoretically, the derivation of savings as a residual.
Given the complexity and detail involved in the different income and expenditure modules, it is possible to build household income and expenditure aggregates in different ways, each of which are legitimate but which may provide considerably different results. Thus, various researchers have constructed their own Income and Expenditure Aggregates using CILSS data. However, only one set of researchers constructed a complete set of income and expenditure aggregates for all four years of the CILSS (85-88), along with their sub-aggregate components, namely the research project "Poverty and the Social Dimensions of Structural Adjustment in Côte d'Ivoire" (RPO 675-26). Oh and Venkataraman (1992) document in detail all of those income and expenditure aggregates and sub-aggregates. The documentation includes data set names, documentation of procedures used to `clean' the data, clear the data of outliers (including information on the percentage of observations classified as outliers), and the summation procedures used to build up variables in the questionnaire into sub-aggregate level variables and finally into aggregates.
Since this set of aggregates is also the only one which is accompanied by documentation, it is the only dataset of aggregates formally available for public use. However, users should be cautioned that these data are cleared of outliers and therefore, researchers who want the presence of outliers in their data in the belief that they are meaningful, may not find this set of aggregates suitable.
Total Household Expenditure = Food Expenditure + Consumption of Home-Produced Food + Consumption of Home-Produced Non-Food Products + Other Expenditures + Paid Remittances + Wage Income in Kind160011Nesstar 200801WEIGHT86.NSDstatCILSS Corrective Weights Dataset160020Nesstar 200801COMM86.NSDstatCommunity-level data57241Nesstar 200801PRICE86.NSDstatPrice data71125Nesstar 200801PRIMARY.NSDstatSchool Data from Administrative Sources. Primary school data contains information about the characteristics of primary schools nearest to or within each urban cluster; secondary school data contain similar information for secondary schools; and the inspectorate data contain information about the primary school inspectorate that covers each of the 200 clusters. These data were extracted from documents at the Côte d'Ivoire Ministry of Education and linked to each CILSS cluster as part of the data collected for the research project on "Economic and Policy Determinants of Fertility in Sub-Saharan Africa".
Data collected for the primary schools include the following information: ownership; whether the school has a library; whether there is housing available for the teachers; number of grades; number of classrooms; total number of students enrolled; and number of girls enrolled.
Only urban clusters are covered by the Primary and Secondary School Data Sets. Recall that for rural clusters, information about schools can be obtained from the CILSS Community Surveys. The Primary School Dataset contains 9055 observations and the Secondary School Dataset contains 1129 observations. The reasons for the larger than expected number of observations are primarily two-fold. First, data is gathered for up to three years (1986-88) for primary school and up to four years (1985-88) for secondary schools, per school. Secondly, all schools associated with a cluster - those located both within the cluster and nearby - are listed in the database.905514Nesstar 200801SECOND.NSDstatSchool Data from Administrative Sources. Data collected for the secondary schools include the following information: ownership; whether the school has a library; whether there is housing available for the teachers; number of grades; number of classrooms; total number of students enrolled; and number of girls enrolled.
Only urban clusters are covered by the Primary and Secondary School Data Sets. Recall that for rural clusters, information about schools can be obtained from the CILSS Community Surveys. The Primary School Dataset contains 9055 observations and the Secondary School Dataset contains 1129 observations. The reasons for the larger than expected number of observations are primarily two-fold. First, data is gathered for up to three years (1986-88) for primary school and up to four years (1985-88) for secondary schools, per school. Secondly, all schools associated with a cluster - those located both within the cluster and nearby - are listed in the database.112920Nesstar 200801INSPECT.NSDstatPRIMARY SCHOOL INSPECTORATE (Administrative) DATA
Data collected for each primary school inspectorate linked to a CILSS cluster include the number of schools, classrooms, teachers, students and female students in the inspectorate. The data are organized by cluster and year (1985-1988). A particular cluster may have more than one primary school inspectorate associated with it, depending on the year to which the data pertain. For example, the cluster of Arrah (031) belonged to the inspectorate of Bongouanou in 1985 and 1986; but in 1987, Arrah became a new inspectorate. Therefore, cluster 031 now belongs to this new inspectorate (Arrah). Note also that if a particular cluster does not belong to a commune, then the variable NAMCOMMU (name of the commune) will be missing and NUMCOMMU (number of the commune) will be set equal to 98.51518Nesstar 200801HLTHADM.NSDstatHealth Facility Data from Administrative Sources. These data contain summary statistics on 311 (out of 329) health facilities located within the 200 clusters interviewed during the 4 years of the CILSS Household Survey. The data set contains information about every health facility in the same urban "commune" as a CILSS cluster as well as about each one located within a CILSS rural cluster. Facilities near a rural cluster but not located within them, are not included. In cases where no health facility data are available for a rural cluster, information about the nearest health facility to rura l clusters can be obtained from the CILSS community data or, for 1987 only, from the health facility questionnaires completed for that year.
The data for each facility were extracted from a publication of the Direction de la Planification et des Statistiques Sanitaires in the Ministry of Public Health and Population, entitled "Annales de la Santé, 1989", as part of the research project on "The Economic and Policy Determinants of Fertility in Sub-Saharan Africa."
The Health Facility dataset includes the following information: owners hip, number of beds, number of staff of different types (doctors, paramedics, etc) and types of services offered (maternity, pharmacy, radiology, pediatrics etc). The amount of information for each facility is limited to the amount of information available from the publication. The full range of information is available for hospitals, urban hospital centers, rural hospital centers and some private facilities in Abidjan. For dispensaries and maternities, little more is offered than the name and type of facility.
The variables for the types of services available are based on staffing lists, some of which disaggregate personnel by type of service. It is possible that some smaller facilities offered a service but did not have staffing lists that were disaggregated to reflect this. Thus, a "yes" answer to a service implies that the service was definitely provided; a "no" means that the service may or may not have been provided.31127Nesstar 200801COTERAIN.NSDstatRainfall data associated with CILSS clusters.
Rainfall data are available for the years 1974-1988 by weather `station'. Each weather station can be linked to the CILSS Clusters. Most CILSS clusters are not located in exactly the same place as the stations with which they are associated. In such cases, the CILSS cluster is linked with the nearest station. Rainfall measurements are millimeters.52215Nesstar 200801CARD TYPE172206811722CLUSTER17220110049.05128.90917220103100664936.9842890.412HOUSEHOLD NUMBER1722019031.87319.04600AQ1: INTERVIEWER ID-ROUND 116932974019.5919.38800AQ2A: DAY OF INTERVIEW-ROUND116932913116.4779.56200AQ2B: MONTH OF INTERVIEW-ROUN16932919328532324125214612971628168916810176117712177Sysmiss2900AQ2C: YEAR OF INTERVIEW-ROUND1693298528615988793Sysmiss2900AQ3: ADRESS FOUND?16992311614285Sysmiss2300AQ4: HEAD OF HOUSEHOLD SAME?1611111114092202Sysmiss11100AQ5: ETHNIC GROUP OF HEAD159612614212.7138.59500AQ6: : LANGUAGE OF INTERVIEW159812418802718Sysmiss12400AQ7: INTERPRETER?718100415992119Sysmiss100400AQ8: SUPERVISORS ID NUMBER-RO172022239.4752.44500AQ9A: DAY SUPERVISED-ROUND 11719313116.5719.56600AQ9B: MONTH SUPERVISED-ROUND1719319928532364125212612971588171916810187117012192Sysmiss300AQ9C: YEAR SUPERVISED-ROUND 1171938518616198799Sysmiss300AQ10: RE-INTERVIEWED?162399138821235Sysmiss9900AQ11: HOUSEHOLD REPLACES NUMB123159916532.84618.85600AQ12: HOUSEHOLD REPLACED BY N124159816532.17718.64700AQ13: REASON FOR REPLACEMENT1961526115823731Sysmiss152600AQ14: OPERATORS ID NUMBER-ROU17184123935.4882.15800AQ15A: DAY OF DATA ENTRY-ROUN1718413114.7969.36200AQ15B: MONTH OF DATA ENTRY-RO17184113728031584103516861747158817199410225114212208Sysmiss400AQ15C: YEAR OF DATA ENTRY-ROU1718486157287146Sysmiss400AQ16: SUPER OF PRINTOUTS ID-R15931295369.4292.500AQ17A: DAY OF SUPERVISION-ROU159312913114.4748.80500AQ17B: MONTH OF SUPERVISION-R1593129115321831614136515861607155816394910203116712170Sysmiss12900AQ17C: YEAR OF SUPERVISION-RO159312986144087153Sysmiss12900AQ18A: PROPOSED DAY OF INTERV159712513114.4727.95800AQ18B: PROPOSED MO OF INTERVI1597125116731564158516061587828225915101591116012157Sysmiss12500AQ18C: PROPOSED YR OF INTERVI159712586143087167Sysmiss12500AQ19: INTERVIEWER ID-ROUND 2159612674019.6299.32800AQ20A: DAY OF INTERVIEW-ROUND159412813114.637.91100AQ20B: MONTH OF INTERVIEW-ROU1594128116731524162516061567838225915101561116112157Sysmiss12800AQ20C: YEAR OF INTERVIEW-ROUN159412886142787167Sysmiss12800AQ21: SUPERVISORS ID-ROUND 29927303319.0072.72300AQ22A: DAY OF SUPERVISION-ROU159412813114.8667.76300AQ22B: MONTH OF SUPERVISION-R15941281866.7843.96900AQ22C: YEAR OF SUPERVISION-RO1594128238786.0661.6100AQ23: RE-INTERVIEWED ROUND 2?157115113462122441Sysmiss15100AQ24: OPERATORS ID-ROUND 2159412833935.4242.27300AQ25A: DAY OF DATA ENTRY-ROUN159412813116.1938.04200AQ25B: MONTH OF DATA ENTRY-RO15941281866.8133.99200AQ25C: YEAR OF DATA ENTRY-ROU1594128108786.0382.26400AQ26: SUPER PRINTOUTS ID-ROUN15681543153139300103171131712320Sysmiss15400AQ27A: DAY OF SUPERVISION-ROU156016213116.9267.72400AQ27B: MONTH OF SUPERVISION-R15601621866.7214.03200AQ27C: YEAR OF SUPERVISION-RO156016258786.0752.098RELIGION OF HEAD OF HOUSEHOLD1565157153024283894655400653Sysmiss157CARD TYPE23942069123942CLUSTER239420110050.37228.861HOUSEHOLD ID (CLUST,NH)239420103100665069.0232885.47HOUSEHOLD NUMBER23942019031.84219.033SECTION NUMBER23942011593215933159341593515936159371593815939159910160011160012159913160014160015160000BQ1A: DAY OF FIRST VISIT23942003115.5728.86700BQ1B: MONTH OF FIRST VISIT239420011189826383287541217527456200571848828469134510240211170912241300BQ1C: YEAR OF FIRST VISIT23942009686.0621.04200BQ2: RESULT OF FIRST VISIR23942012197022663170600BQ3A: DAY OF SECOND VISIT2692367313113.7557.72100BQ3B: MONTH OF SECOND VISIT2692367311828340451568623738321015118123Sysmiss2367300BQ3C: YEAR OF SECOND VISIT26923673862518718Sysmiss2367300BQ4: RESULT OF SECOND VISIT26923673126623Sysmiss2367300BQ5: SUPERVISORS COMMENT-INTE2204818941190662297834Sysmiss189400BQ6: SUPERVISORS COMMENT-OPER22046189611725624790Sysmiss189600BQ7: CORRECTIONS MADE IN4789191531312921660Sysmiss19153CARD TYPE160107021601CLUSTER16010110050.4728.892HOUSEHOLD ID (CLUST,NH)16010103100665078.832888.527HOUSEHOLD NUMBER1601019031.85919.0301AQ1: ID NO OF RESPONDENT - SE1593801114412903204659687684102111122131151181Sysmiss803BQ1: COMPLETED SECTION 3B?15938110962497Sysmiss8007Q0: ID NO OF RESPONDENT - SE15938115002463144654677484103111122151171Sysmiss809A1Q0A: ID NO OF RESPONDENT -10125891221.2531.51109A1Q0B: PERSON INTERVIEWED - S101258911000212Sysmiss58909CQ1: COMPLETED SECTION 9C?101358817612252Sysmiss58809D1AQ1: COMPLETED SECTION 9D1A101558613792636Sysmiss58609D1BQ7: COMPLETED SECTION 9D1B101558611962819Sysmiss58609D1CQ13: COMPLETED SECTION 9D110155861212994Sysmiss58609D2AQ18: COMPLETED SECTION 9D2101558613382677Sysmiss58609D2BQ24: COMPLETED SECTION 9D2101558611262889Sysmiss58609D2CQ24: COMPLETED SECTION 9D2101558612532762Sysmiss58609D3AQ34: COMPLETED SECTION 9D3101558611021005Sysmiss58609D4AQ41: COMPLETED SECTION 9D410155861412974Sysmiss58609D4BQ48: COMPLETED SECTION 9D4101458713192695Sysmiss58709D4CQ52: COMPLETED SECTION 9D4101558616802335Sysmiss58609D5CQ55: COMPLETED SECTION 9D5101558612242791Sysmiss58609EQ1: COMPLETED SECTION 9E?101558612502765Sysmiss58609FQ1: COMPLETED SECTION 9F?101358816652348Sysmiss58809GQ1: COMPLETED SECTION 9G?7598421232736Sysmiss84209IQ1: COMPLETED SECTION 9I?512108911882324Sysmiss108911AQ0: ID NO OF RESPONDENT - SE1596511536235394451657181101111121171Sysmiss511AQ0B: PERSON INTERVIEWED - SE1596511565231Sysmiss511DQ0: COMPLETED SECTION 11A?1596517722824Sysmiss512AQ0: ID NO OF RESPONDENT - SE159561262.6042.1612AQ0B: PERSON INTERVIEWED - SE1595611518277Sysmiss612BQ1: COMPLETED SECTION 12B?1596519922604Sysmiss513AQ0: ID NO OF RESPONDENT - SE14911101812780313548358764676385694910301113121513181451511166175184194Sysmiss11013AQ0B: PERSON INTERVIEWED - SE1492109113832109Sysmiss10914AQ0: ID NO OF RESPONDENT - SE15965115442343743516471111171Sysmiss514AQ0B: PERSON INTERVIEWED - SE1595611560235Sysmiss614BQ0A: PERSON INTERVIEWED - SE15965145321143Sysmiss5CARD TYPE1386701113867CLUSTER138670110050.09527.866HOUSEHOLD ID (CLUST,NH)138670103100665041.0362785.087HOUSEHOLD NUMBER13867019031.55319.038PERSON ID1386701406.4865.00601AQ2: 1-MALE 2-FEMALE138670167232714401AQ3: RELATIONSHIP TO HEAD138670115992190736080417955196888712681729121020721112212261316501AQ4: BIRTH CERT AVAILABLE? (Y138670165272734001AQ5A: DAY OF BIRTH4257961013114.299.13401AQ5B: MONTH OF BIRTH42779590155223163379434553986328735583399276103071126512417Sysmiss959001AQ53: YEAR OF BIRTH6665720209661.74619.26801AQ6A: AGE - YEARS1381453010121.47718.501AQ6B: AGE - MONTHS14341243301751114211331334945113617679981119104101111191Sysmiss1243301AQ7: MARITAL STATUS85515316140312201359438153879Sysmiss531601AQ8: SPOUSE LIVE IN HOUSEHOLD40319836136202411Sysmiss983601AQ9: SPOUSE ID3620102471402.2383.06301AQ10: DEPARTMENT OF BIRTH13867015720.87717.3201AQ11: CURRENT NATIONALITY13867011200529233424416955262927201AQ12: SLEEP IN HH YESTERDAY?1386701121022176501AQ13: MTHS NOT SLEPT OR EATEN13867001056914622353336441795135621171538234925310312112991234301AQ14: HOUSEHOLD MEMBER? (YES/1386701129022965CARD TYPE1291102112911CLUSTER129110110050.58727.891HOUSEHOLD ID (CLUST,NH)129110103100665090.2162787.74101BQ5: HIGHEST GRADE COMPLETED-109501RE172E163E2804E505E236E16B1CE128CE260CM136CM2292CP16CP221TER50U12U29U328U49U59U62U76X13401BQ13: HIGHEST GRADE COMPLETED40101RE52E63E454E175E336E5CE122CE246CM142CM2150CP11CP217NUL1TER2U21X8HOUSEHOLD NUMBER12911019031.48319.008PERSON ID1291101406.3364.9401BQ1: FATHER LIVE IN HOUSE?129110159122699901BQ2: ID NO OF FATHER591269991271.3941.9701BQ3: FATHER ALIVE?699959121319723802Sysmiss591201BQ4: FATHER EVER ATTENDED SCH699059211108525905Sysmiss592101BQ6: HIGHEST DEGREE OBTAINED-98911922125523133153442523612758175911Sysmiss1192201BQ7: MAIN OCCUPATION OF FATHE695959521530822983127413854226577918129917010217112Sysmiss595201BQ8: LIVE W/FATHER WHEN 10 YR589970121471321186Sysmiss701201BQ9: MOTHER LIVE IN HOUSEHOLD129110164722643901BQ10: ID NO OF MOTHER647264391284.2544.02301BQ11: MOTHER ALIVE?643964721372322716Sysmiss647201BQ12: MOTHER EVER ATTENDED SC64396472140126038Sysmiss647201BQ14: HIGHEST DEGREE OBTAINED39312518119921303294183094Sysmiss1251801BQ15: MAIN OCCUPATION OF MOTH6431648014119230847571722869121018511135Sysmiss648001BQ16: LIVE W/MOTHER WHEN 10 Y573171801468621045Sysmiss7180CARD TYPE16010421601CLUSTER16010110050.4728.892HOUSEHOLD ID (CLUST,NH)16010103100665078.832888.527HOUSEHOLD NUMBER1601019031.85919.0302AQ1: TYPE OF RESIDENCE15992170824873342462Sysmiss202AQ2: HOUSE PART OF COMPOUND?70889311852523Sysmiss89302AQ3: TOTAL NO OF BLDGS IN COM672929132227031774845556177981792101114121132141Sysmiss92902AQ4: NO OF BLDGS OCCUPIED BY67292912162279310843751767738191133Sysmiss92902AQ5: APARTMENT IN COURTYARD/C342125912372105Sysmiss125902AQ6: NO OF DOORS FOR COMPOUND29913021297.4013.99702AQ7: NO OF DOORS FOR HOUSEHOL2991302121224231941058667181Sysmiss130202AQ8: TOTAL NO OF ROOMS159921354.5383.15402AQ9: RESID USED FOR BUSINESS/1599217421525Sysmiss202AQ10: PERCENT USED FOR BUSINE741527137225312Sysmiss152702BQ4A: CASH RENT PAID4321169030000027231.65535907.51102BQ6A: VALUE OF RENT PAID IN-K515968000750003000026730.13302BQ10: VALUE MORTGAGE PAYMENT91592500003000000561015.556938151.05802BQ14: AMT OF LAST WATER BILL58810130790007593.15611237.78902BQ17: DIST TO WATER SUPPLY SO101159003000264.193369.81402BQ1: OWNED BY HH MEMBER?1601011083251802BQ2: DWELLING RENTED BY HH FO51810831433285Sysmiss108302BQ3: FROM WHOM IS DWELLING RE4321169172873544575227Sysmiss116902BQ4B: TIME OF CASH RENT PAYME4321169542963Sysmiss116902BQ5: RENT PAID IN-KIND?4331168152428Sysmiss116802BQ6B: TIME OF RENT PAID IN-KI515965481Sysmiss159602BQ7: PART OF RENT PAID BY NON517108411262391Sysmiss108402BQ8: WHO PAYS PART OF RENT?12714741302193147453Sysmiss147402BQ9: MAKE MORTGAGE PAYMENTS O10835181921074Sysmiss51802BQ11A: FREQUENCY OF MORTGAGE9159219Sysmiss159202BQ11B: TIME OF MORTGAGE PAYME915925287Sysmiss159202BQ12: SOURCE OF DRINKING WATE16010125122023120440854016199718169302BQ13: TYPE OF WATER METER37112301542317Sysmiss123002BQ15A: NUMB OF TIME UNITS WAT588101312682333278445362Sysmiss101302BQ15B: TIME UNIT OF WATER BIL58810133188426528468773Sysmiss101302BQ16: WATER SUPPLY SOURCE SHA8097921252784Sysmiss79202BQ18: SOURCE OF WATER FOR LAU160101180232634784264536167157817702BQ19: SOURCE OF OTHER WATER S131828313192999Sysmiss28302BQ20: DISPOSAL OF GARBAGE?16010152321069354402BQ26: AMT OF LAST ELECTRIC BI645956024500013848.35520234.07402BQ21: TYPE OF TOILET160101308264936414302BQ22: TOILET SHARED?96064114402520Sysmiss64102BQ23: LOCATION OF TOILET96064112812679Sysmiss64102BQ24: SOURCE OF LIGHT16010164628394702BQ25: ELECTRIC METER JOINT/IN64695511332513Sysmiss95502BQ27: MOS. COVERED BY LAST BI644957114261237415862Sysmiss95702BQ28: MOST FREQLY USED FUEL1601011182224931494251902BQ29: SOURCE OF WOOD118241919462236Sysmiss41902BQ30: DISTANCE TO FETCH WOOD9456560453.7123.53502BQ31A: HRS TO FETCH WOOD56110400351395210332642Sysmiss104002BQ31B: MINUTES TO FETCH WOOD66293905527.74512.78902BQ32A: NO OF TIMES YOU FETCH94565612402117322841365142682Sysmiss65602BQ32B: TIME FOR FETCHING WOOD9456563192471252561383Sysmiss656CARD TYPE15990311599CLUSTER15990110050.46328.873HOUSEHOLD ID (CLUST,NH)15990103100665078.1172886.609HOUSEHOLD NUMBER1599019031.83819.03102AQ1: TYPE OF RESIDENCE1599017082487334246202AQ2: HOUSE PART OF COMPOUND?70889111852523Sysmiss89102AQ3: TOTAL NO OF BLDGS IN COM672927132227031774845556177981792101114121132141Sysmiss92702AQ4: NO OF BLDGS OCCUPIED BY67292712162279310843751767738191133Sysmiss92702AQ5: APARTMENT IN COURTYARD/C342125712372105Sysmiss125702AQ6: NO OF DOORS FOR COMPOUND29913001297.4013.99702AQ7: NO OF DOORS FOR HOUSEHOL2991300121224231941058667181Sysmiss130002AQ8: TOTAL NO OF ROOMS159901354.5383.15402AQ9: RESID USED FOR BUSINESS/159901742152502AQ10: PERCENT USED FOR BUSINE741525137225312Sysmiss1525CARD TYPE16010411601CLUSTER16010110050.4728.892HOUSEHOLD ID(CLUST,NH)16010103100665078.832888.52702BQ4A: CASH RENT PAID4321169030000027231.65535907.51102BQ6A: VALUE OF RENT PAID IN-K515968000750003000026730.13302BQ10: VALUE MORTGAGE PAYMENT91592500003000000561015.556938151.05802BQ14: AMT OF LAST WATER BILL58810130790007593.15611237.78902BQ17: DIST TO WATER SUPPLY SO101159003000264.193369.814HOUSEHOLD NUMBER1601019031.85919.0302BQ1: OWNED BY HH MEMBER?1601011083251802BQ2: DWELLING RENTED BY HH FO51810831433285Sysmiss108302BQ3: FROM WHOM IS DWELLING RE4321169172873544575227Sysmiss116902BQ4B: TIME OF CASH RENT PAYME4321169542963Sysmiss116902BQ5: RENT PAID IN-KIND?4331168152428Sysmiss116802BQ6B: TIME OF RENT PAID IN-KI515965481Sysmiss159602BQ7: PART OF RENT PAID BY NON517108411262391Sysmiss108402BQ8: WHO PAYS PART OF RENT?12714741302193147453Sysmiss147402BQ9: MAKE MORTGAGE PAYMENTS O10835181921074Sysmiss51802BQ11A: FREQUENCY OF MORTGAGE9159219Sysmiss159202BQ11B: TIME OF MORTGAGE PAYME915925287Sysmiss159202BQ12: SOURCE OF DRINKING WATE16010125122023120440854016199718169302BQ13: TYPE OF WATER METER37112301542317Sysmiss123002BQ15A: NUMB OF TIME UNITS WAT588101312682333278445362Sysmiss101302BQ15B: TIME UNIT OF WATER BIL58810133188426528468773Sysmiss101302BQ16: WATER SUPPLY SOURCE SHA8097921252784Sysmiss79202BQ18: SOURCE OF WATER FOR LAU160101180232634784264536167157817702BQ19: SOURCE OF OTHER WATER S131828313192999Sysmiss28302BQ20: DISPOSAL OF GARBAGE?160101523210693544CARD TYPE16010421601CLUSTER16010110050.4728.892HOUSEHOLD ID (CLUST,NH)16010103100665078.832888.52702BQ26: AMT OF LAST ELECTRIC BI645956024500013848.35520234.074HOUSEHOLD NUMBER1601019031.85919.0302BQ21: TYPE OF TOILET160101308264936414302BQ22: TOILET SHARED?96064114402520Sysmiss64102BQ23: LOCATION OF TOILET96064112812679Sysmiss64102BQ24: SOURCE OF LIGHT16010164628394702BQ25: ELECTRIC METER JOINT/IN64695511332513Sysmiss95502BQ27: MOS. COVERED BY LAST BI644957114261237415862Sysmiss95702BQ28: MOST FREQLY USED FUEL1601011182224931494251902BQ29: SOURCE OF WOOD118241919462236Sysmiss41902BQ30: DISTANCE TO FETCH WOOD9456560453.7123.53502BQ31A: HRS TO FETCH WOOD56110400351395210332642Sysmiss104002BQ31B: MINUTES TO FETCH WOOD66293905527.74512.78902BQ32A: NO OF TIMES YOU FETCH94565612402117322841365142682Sysmiss65602BQ32B: TIME FOR FETCHING WOOD9456563192471252561383Sysmiss656CARD TYPE1072905110729CLUSTER107290110050.19427.88203A1Q7: HIGHEST GRADE COMPLETED506901RE1022E1013E3314E2385E2576E213CE1437CE2465CM1545CM21023CP1435CP2435JE44NUL259TER85U16U218U333U420U55U61U76U89X1HOUSEHOLD ID (CLUST,NH)107290103100665050.822786.632HOUSEHOLD NUMBER10729019031.38718.965PERSON ID1072901405.8414.79303A1Q1: READ A NEWSPAPER?107290136912703803A1Q2: WRITE A LETTER?36917038133452346Sysmiss703803A1Q3: DO WRITTEN CALCULATIONS107290147062602303A1Q4: WORKED AS AN APPRENTICE10728121001331764539Sysmiss103A1Q5: YRS OF APPRENTICESHIP714100150253.5113.17503A1Q6: EVER ATTENDED SCHOOL?1072811507025658Sysmiss103A1Q8: ANY TECH/PROF TRAINING?50705659147024600Sysmiss565903A1Q9: YRS OF TECH/PROF TRAINI4691026002011092142314043751563718191Sysmiss1026003A1Q10: HIGHEST DIPLOMA OBTAIN507056591316421276322242653962271081492831014Sysmiss565903A1Q11: TYPE OF SCHOOL507056591425625233291Sysmiss565903A1Q12: CURRENTLY ATTENDING SC507056591243022640Sysmiss565903A1Q13: INTEND TO RETURN TO SC26418088168621955Sysmiss808803A1Q14: LIVE AT HOME WHILE IN24298300121252304Sysmiss830003A1Q15: HRS/7 DAYS ATTENDED CL2125860405821.25514.25203A1Q16: ATTEND SCHOOL/TRAINING26408089146022180Sysmiss808903A1Q17: LIVE AT HOME W/SCHOOL460102691406254Sysmiss10269CARD TYPE28820611123621759CLUSTER28820110040.97725.066HOUSEHOLD NUMBER2882019031.95818.991PERSON ID288201377.0494.27503A2Q19: RECD ANY SCHOLARSHIP L2882012302265203A2Q21: ANYONE ELSE PAY SCHOOL2882015702231203A2Q23A: TIME TO REACH SCHOOL-31825640482.9214.96703A2Q23B: TIME TO REACH SCHOOL-1625125705012.63910.194HOUSEHOLD ID (CLUST,NH)28820105100534129.6332505.09303A2Q18A: CONTRIB. TO PTA LAST2757125032000717.3851949.36503A2Q18B: SPEND ON UNIFORM/CLOT25263560750007554.0788683.64503A2Q18C: SPEND ON BOOKS/SCHOOL2514368010000012732.91712279.47103A2Q18D: SPEND ON TRANSPORTATI275213001120001031.1297408.25903A2Q18E: SPEND ON FOOD/LODGING272415802500003044.62710240.27803A2Q18F: SPEND ON TUITION & FE262925308000008017.73730386.02903A2Q18G: OTHER SCHOOL EXPEND286121048300010986.46636150.06103A2Q20: VALUE OF SCHOLARSHIP2292653078000060388.646123177.66203A2Q22: DISTANCE TO SCHOOL--KM287390120018.34878.529CARD TYPE35290713529CLUSTER35290110054.36226.74503BQ11: HIGHEST GRADE COMPLETED212901RE502E393E2314E1135E856E87B243CE1126CE2157CM1194CM2432CP189CP2110JE9NUL44TER47U112U220U318U45U53U63X12HOUSEHOLD ID (CLUST,NH)35290105100665467.0852671.999HOUSEHOLD NUMBER3529019030.92819.089ORDER OF CHILD35290111172815356143685237615471088699441025111512813314215216103BQ3: SEX352811161621912Sysmiss103BQ4: AGE--YEARS3528108216.4597.77103BQ5: FATHER LIVES IN HH?352901253629923103BQ6: ID NO OF FATHER253699312379232317475386871281298105116134151161181192202211Sysmiss99303BQ7: MOTHER LIVES IN HH?35290123802114903BQ8: ID NO OF MOTHER238011491263.7293.29903BQ9: EVER ATTENDED SCHOOL?35290118862164303BQ10: CURRENTLY ATTENDING SCH1886164319542932Sysmiss1643CARD TYPE1291008112910CLUSTER129100110050.58627.893HOUSEHOLD ID (CLUST,NH)129100103100665090.1142787.973HOUSEHOLD NUMBER12910019031.48519.009PERSON ID1291001406.3364.94104Q1: ILL/INJURED IN LAST 4 WEE129100132732963704Q2: NO OF DAYS ILL3273963702811.0599.16804Q3: NO OF DAYS INACTIVE DUE T327396370285.8557.80804Q4: CONSULTED ANYONE FOR ILLN327396371155421719Sysmiss963704Q5: WHO WAS CONSULTED FIRST?1554113561467299731642554267Sysmiss1135604Q6: PLACE OF CONSULTATION15541135616352722315470511627738825911Sysmiss1135604Q7: PUBLIC/PRIVATE ESTABLISHE149111419113542137Sysmiss1141904Q8A: HRS TO REACH PLACE OF CO187127230251.5882.11204Q8B: MINS TO REACH PLACE OF C14081150205015.41810.24204Q9: DISTANCE TO PLACE OF CON-152911381059211.91640.24604Q10: NO OF TIMES CONSULTED1553113571282.6152.51904Q11: TOTAL COST OF CONSULTATI1553113570147456494.6394496.48804Q12: SPEND NIGHT IN HOSP FOR15551135516621489Sysmiss1135504Q13: NO OF NIGHTS AWAY DUE TO66128441289.6828.20204Q14: COST OF HOSPITAL STAY651284501392644962.46219411.61704Q15: BUY MEDICINE FOR ILLNESS327396371180121472Sysmiss963704Q16: COST OF MEDICINE17981111202211845619.5639894.07504Q17: PREVENTIVE CARE IN LAST129100137102920004Q18: COST OF PREVENTIVE CARE3710920001245184914.44424438.55CARD TYPE98710919871CLUSTER98710110050.0927.907HOUSEHOLD ID (CLUST,NH)98710103100665040.3622789.145HOUSEHOLD NUMBER9871019031.35619PERSON ID987101405.6444.72705AQ1: ANSWERS HIMSELF (YES/NO)98710166492322205AQ2: WORK FOR WAGES IN PAST 79871016112926005AQ3: WORK FOR WAGES IN PAST 19260611110729153Sysmiss61105AQ4: SELF-EMPL AGRI IN PAST 798710136962617505AQ5: SELF-EMPL AGRI IN PAST 161753696181525360Sysmiss369605AQ6: SELF-EMPL BUSINESS IN PA9871017452912605AQ7: 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O148145311326131549511677781093104113122132181Sysmiss145307Q4C: III TYPE OF BUSINESS55154663023.3825.65807Q5C: ID OF PERSON WITH INFO O551546172236465665738395103112121143152191Sysmiss154607Q4D: IV TYPE OF BUSINESS2015812212342514301Sysmiss158107Q5D: ID OF PERSON WITH INFO O20158121537481103112142163181Sysmiss158107Q4E: V TYPE OF BUSINESS91592630237.5507Q5E: ID OF PERSON WITH INFO O9159231718191141151172211Sysmiss159207Q6: MORE THAN 3 BUSINESSES?54510561202525Sysmiss105607Q7A: ORDER OF MOST IMPORTANT2015811162232Sysmiss158107Q7B: ORDER SECOND MOST IMPORT20158112212324351Sysmiss158107Q7C: ORDER THIRD MOST IMPORTA201581233114452Sysmiss158107Q8: ID OF PERSON RESPONSIBLE160011262.6192.14307Q9: ID OF PERSON RESP FOR OTH160011154323331044516572111171Sysmiss107Q10: ID OF SELECTED FERTILE F14961051762781313748358864676485795210301113121513191451511166175184194Sysmiss105CARD TYPE159702711597CLUSTER15970110050.53128.88608Q1: SQUARE METER159705107267.91462.823HOUSEHOLD ID (CLUST,NH)15970103100665084.9492887.956HOUSEHOLD NUMBER1597019031.8519.01708Q2: INSIDE/OUTSIDE MEASURE?159701361212355108Q3: MATERIAL OF WALLS15970148122203449545640774228908Q4: MATERIAL OF FLOOR15970132621364106151796372108Q5: MATERIAL OF ROOF159701291213484110652269673308Q6: WINDOWS FITTED WITH15970112622131151455236271CARD TYPE101902811019CLUSTER10190310065.72221.326HOUSEHOLD ID (CLUST,NH)10190350100666603.5142132.11609A1Q2: LAND CULTIVATED-HECTARE1018101388.5828.60809A1Q3: LAND AVAILABLE-HECTARES1018103005.76413.17109A1Q4: LAND PART OF DEV SCHEME1018101000.183.28909A1Q5: LAND PART OF CO-OP-HECT101810991142535435263728191111Sysmiss109A1Q8: LAND SOLD-HECTARES11018101Sysmiss101809A1Q9: VALUE OF LAND SOLD110183550001Sysmiss101809A1Q10: VALUE OF LAND USED PAS10145010000000004519959.76334639865.212HOUSEHOLD NUMBER1019019031.28718.872ID OF PERSON W/FARM INFO101901951229319465362718191102111171202PERSON ACTUALLY INTERVIEWED?10190110102909A1Q1: DO FARM WORK IN PAST 12101901100821109A1Q6: CAN SELL LAND?1018113942624Sysmiss109A1Q7: SOLD LAND IN PAST 12 MO394625112393Sysmiss625CARD TYPE101802921018CLUSTER10180310065.77721.265HOUSEHOLD ID (CLUST,NH)10180350100666608.9912125.9809A2Q13: HECTARES OF LAND TRANS32269601286.7179.91109A2Q19: HECTARES OF WHICH PAID409781120033.5189.18609A2Q22: HECTARES OF LAND RECD389800526.94711.20109A2Q14: AMOUNT RECD FOR LAND U32169704400000366921.978649194.9709A2Q16: HECTARES OF LAND BOUGH17100102450147.294593.409A2Q17: VALUE OF LAND BOUGHT1710016000600000144647.059164462.45409A2Q20: AMOUNT PAID FOR LAND U40978100062086081209119962.141HOUSEHOLD NUMBER1018019031.2918.88109A2Q11: RIGHT TO TRANSFER LAND101801744227409A2Q12: TRANSFERRED LAND PAST74427413222422Sysmiss27409A2Q15: BOUGHT LAND IN PAST 12101801172100109A2Q18: PAID USE OF LAND PAST10180140297809A2Q21: RECD LAND AS GIFT PAST10180138298009A2Q24: HECTARES OF LAND GIVEN50968011182163742528291201Sysmiss96809A2Q23: GAVE LAND IN PAST 12 M6943240201302644Sysmiss324CARD TYPE759103017591CLUSTER75910310066.52419.231HOUSEHOLD ID (CLUST,NH)75910350100666684.1321922.47309BQ2: HECTARES HARV IN PAST 12759100801.0192.23809BQ3: HECTARES NOT YET IN PROD759100400.3580.99709BQ4A: QUANTITY SOLD75910063180214.7891193.32409BQ5A: AMOUNT CROP SOLD FOR285347380200000010039.47361685.5609BQ7: VALUE OF CROP KEPT FOR S27424849308000008935.97627054.08109BQ9: VALUE OF CROP GIVEN AS P3427416424000007342.05918331.773HOUSEHOLD NUMBER7591019031.72819.11609BQ1: CROP GROWN7591012715.097.81809BQ4B: UNIT OF QUANTITY SOLD2852473911670222334964652862277282949111129513314221522164172Sysmiss473909BQ5B: UNIT FOR AMOUNT SOLD28524739115122633428475186133718994510111112681321418152116117524Sysmiss473909BQ6: KEPT PART OF CROP FOR SE609614951274123355Sysmiss149509BQ8: CROP GIVEN AS PAYMENT?75910134272416409BQ10: DOUBLE CROPPED?75910153432224809BQ11A: FIRST OTHER CROP5343224812712.9179.03509BQ11B: SECOND OTHER CROP4022356912715.7578.316CARD TYPE288703112887CLUSTER2887039963.38516.872HOUSEHOLD ID (CLUST,NH)2887035099476370.5621686.36309CQ3A: PROP TREES TOO YOUNG TO2885202000.8134.74509CQ3B: PROP TREES TOO YOUNG TO2885203001.74910.18509CQ4A: PROP TREES IN FULL PROD2885202001.4824.97109CQ4B: PROP TREES IN FULL PROD2885203002.45410.3809CQ5A: PROP TREES AT END OF PR2885202000.2873.8109CQ5B: PROP TREES AT END OF PR2885203000.6666.071HOUSEHOLD NUMBER2887019032.04419.22509CQ2: TREE CROP CODE288700709.94710.018CARD TYPE5020321502CLUSTER5020310065.21320.267HOUSEHOLD ID (CLUST,NH)5020350100346553.7932027.36109D1AQ3: AMOUNT SPENT IN PAST 15020022500014675.71722032.381HOUSEHOLD NUMBER502019032.47819.22409D1AQ2A: CROP CODE502012617.044.95909D1AQ2B: LINE NO OF CROP502013782973214412209D1AQ4: HARVESTED FIELDS?50201230227209D1AQ5: WHERE SEED OBTAINED?502014812238689309D1AQ6: OBTAINED ON CREDIT?50201442458CARD TYPE2280331228CLUSTER2280410075.27226.281HOUSEHOLD ID (CLUST,NH)2280443100637559.0792628.60509D1BQ9: AMOUNT SPENT IN PAST 12280058480044669.4373766.93HOUSEHOLD NUMBER228018431.88619.80709D1BQ8A: CROP CODE228012511.0357.16509D1BQ8B: LINE NO OF CROP228012002243409D1BQ10: HARVESTED FIELDS?2280115627209D1BQ11: WHERE FERTILIZER OBTA228016221134052610971829109D1BQ12: OBTAINED ON CREDIT?228011202108CARD TYPE24034124CLUSTER240810080.41729.214HOUSEHOLD ID (CLUST,NH)240846100368071.2922919.65109D1CQ15: AMOUNT SPENT IN PAST2400150062.5306.186HOUSEHOLD NUMBER24016529.62520.20309D1CQ14A: CROP CODE24012417.55.67209D1CQ14B: LINE NO OF CROP240116263209D1CQ16: HARVESTED FIELDS?24011021409D1CQ17: WHERE MANURE OBTAINED240113911CARD TYPE3810351381CLUSTER3810310068.11522.457HOUSEHOLD ID (CLUST,NH)3810350100666844.8792245.43409D2AQ20: AMOUNT SPENT IN PAST3801023500010840.72419086.971HOUSEHOLD NUMBER381019033.33120.25609D2AQ19A: CROP CODE38101276.4787.62109D2AQ19B: LINE NO OF CROP3810134623509D2AQ21: HARVESTED FIELDS?3810132625509D2AQ22: WHERE INSECT OBTAINED3810125821379636859209D2AQ23: OBTAINED ON CREDIT?38101362345CARD TYPE1520361152CLUSTER152049755.78922.976HOUSEHOLD ID (CLUST,NH)152044397555609.9342298.12509D2BQ26: AMOUNT SPENT IN PAST1520030000020356.57946989.034HOUSEHOLD NUMBER152019030.98718.8409D2BQ25A: CROP CODE152012710.58610.44609D2BQ25B: LINE NO OF CROP15201125222334209D2BQ27: HOW OBTAINED?152011302261819CARD TYPE2920371292CLUSTER292049762.7417.681HOUSEHOLD ID (CLUST,NH)292044397426306.3121766.21409D2CQ30: AMOUNT SPENT IN PAST2920401050008698.93812867.101HOUSEHOLD NUMBER292019032.33918.74109D2CQ29A: CROP CODE29201267.8779.93109D2CQ29B: LINE NO OF CROP2920125623609D2CQ31: HARVESTED FIELDS?2920126322909D2CQ32: PLACE OBTAINED?292012842135819109D2CQ33: OBTAINED ON CREDIT?2920152287CARD TYPE503815CLUSTER50466961.29.391HOUSEHOLD ID (CLUST,NH)50463069906160.4949.87909D3AQ36: AMOUNT SPENT IN PAST50100025000102009782.638HOUSEHOLD NUMBER50209040.428.11209D3AQ35A: CROP CODE50112320109D3AQ35B: LINE NO OF CROP50142109D3AQ37: HOW OBTAINED?5015CARD TYPE101503911015CLUSTER10150310065.8721.222HOUSEHOLD ID (CLUST,NH)10150350100666618.2772121.74109D3BQ39: AMT SPENT ON PAID LAB59741810001500000084467.404621602.0509D3BQ41: AMT OF OTHER PROD EXP369792000200000088448.056331130.17309D3BQ43: HOURS OF EXCHANGE LAB262753330000174.051852.49HOUSEHOLD NUMBER1015019031.28218.90409D3BQ38: EXPENSES ON LABOR PAS101501597241809D3BQ40: OTHER PROD EXP PAST 110150136297909D3BQ42: EXCHANGE LABOR IN PAS1015012622753CARD TYPE41040141CLUSTER410199151.17117.811HOUSEHOLD ID (CLUST,NH)410195791595152.5611782.74209D4AQ46: HECTARES SHARECRP4101132123642536272101HOUSEHOLD NUMBER41066835.48818.53309D4AQ45A: CROP CODE-SHARECRP4101257.3418.6109D4AQ45B: LINE NO OF CROP4101322909D4AQ47A: PROP HARVEST TO OWNE410131283209D4AQ47B: PROP HARVEST TO OWNE4101122131148CARD TYPE3890411389CLUSTER3890119957.19817.701HOUSEHOLD ID (CLUST,NH)3890114899295751.1951770.85709D4BQ50: HECTARES LEASED TO SH38900805.4166.677HOUSEHOLD NUMBER389018331.40118.78549A: CROP CODE-LEASED TO SHAREC38901264.6567.51209D4BQ49B: LINE NO OF CROP38901302280364109D4BQ51A: PROP HARVEST TO SHRC3881137521033Sysmiss109D4BQ51B: PROP HARVEST TO SHRC388111213632384954Sysmiss1CARD TYPE137204211372CLUSTER13720310072.56220.345HOUSEHOLD ID (CLUST,NH)13720350100667287.442034.965HOUSEHOLD NUMBER1372018431.24418.92809D4CQ53A: CROP CODE1372012619.1383.47909D4CQ53B: LINE NO OF CROP13720170123863203471556271819117109D4CQ54: WEEKS TD SATISFY HH N1372015428.17918.361CARD TYPE2660431266CLUSTER2660310068.8823.94809D5Q58: REASON FOR CONSULTATIO2660179218314478577HOUSEHOLD ID (CLUST,NH)2660350100556920.2032393.731HOUSEHOLD NUMBER266018432.23319.15309D5Q56A: CROP CODE26601278.2077.72209D5Q56B: LINE NO OF CROP26601227233354109D5Q57: EXT CONTACTS PAST 12 M26601525.2897.283CARD TYPE3070441307CLUSTER30701910067.07815.74409EQ2: PRODUCT CODE FROM CROPS3070601102602426035760476055606460754608260946103009EQ4A: TIMES PRODUCT SOLD30701301.9842.69HOUSEHOLD ID (CLUST,NH)30701957100056739.8471572.96209EQ5: AMT RECD FROM SALE EACH30700400003337.9645167.27309EQ7: AMT OF EXPEND ON PRODUCT1091985018000010879.12823646.787HOUSEHOLD NUMBER307019032.02919.17509EQ3: HOW MANY MONTHS MADE PRO30701322493504185186137481199106129709EQ4B: UNIT OF TIMES PRODUCT S3070123444180578618209EQ6: EXPENDITURE ON PRODUCTIO307011092198CARD TYPE119104521191CLUSTER11910410070.78319.586HOUSEHOLD ID (CLUST,NH)11910443100637109.1461956.58709FQ5: VALUE CURRENTLY OWNED LI118743001200000095433.555472065.85409FQ8: AMT RECD FROM SALES358833600100000029222.84987456.90809FQ11: AMT PAID FOR PURCHASE188100360041800013860.37235162.41809FQ4: NO CURRENTLY OWNED118741250015.08187.08309FQ7: NUMBER SOLD3578341100010.62764.609FQ10: NUMBER BOUGHT18810031220021.053176.1109FQ12: NO. BORN/RECD IN PAST 11191003548.48415.8409FQ13: NUMBER EATEN IN PAST 121191001503.5949.15309FQ14: NO. LOST/STOLEN/GIVEN A1191001004.5639.082HOUSEHOLD NUMBER1191019030.89318.88309FQ2: CODE-LIVESTOCK IN PAST 111910168223732104547562657748609FQ3: RAISING CURRENTLY?11910111872409FQ6: SOLD ANY IN PAST 12 MOS?119101358283309FQ9: BOUGHT ANY IN PAST 12 MO11910118821003CARD TYPE21046121CLUSTER2104710075.28617.193HOUSEHOLD ID (CLUST,NH)2104758100557562.9051718.85409GQ3: AMT RECD FROM SALE PAST21017519200023305.95250892.326HOUSEHOLD NUMBER21018134.33323.38409GQ2: CODE-ANIMAL PRODUCT SOLD21014317CARD TYPE6760471676CLUSTER6760410068.86819.38109HQ2: DAYS OF EXCHANGE LABOR R0676Sysmiss676HOUSEHOLD ID (CLUST,NH)6760443100636917.9631936.511HOUSEHOLD NUMBER676019031.12918.74309HQ1: EXCHANGED LABOR FOR LIVE6760267609HQ3: CONTACT LIVSTOCK EXT AGE6760116266009HQ4: NO. OF TIMES CONTACTED166601308.759.384CARD TYPE1260481126CLUSTER1260810075.31727.932HOUSEHOLD ID (CLUST,NH)1260846100637563.4052788.83109IQ2: AMT SPENT ON EACH ITEM/S12600135000056452.817190870.665HOUSEHOLD NUMBER126026531.65919.15309IQ1: CODE-EXPEND TO RAISE LIV12601522103244252067718810209IQ3: SOURCE OF ITEM/SERVICE12511912264652Sysmiss1HOUSEHOLD ID (CLUST,NH)10170350100666609.3852129.639CARD TYPE101704911017CLUSTER10170310065.78121.301HOUSEHOLD NUMBER1017019031.31318.87509JQ1: NO. OF HOES OWNED101700504.9934.14709JQ2: NO. OF AXES OWNED101700801389234731154505206118210213109JQ3: NO. OF MACHETES OWNED101700504.1783.72809JQ4: NO. OF PICKS OWNED101700301.1391.6909JQ5: NO. OF SHOVELS OWNED10170058312182129340428511677109JQ6: NO. OF WHEELBARROWS OWNE1017008141154238354561CARD TYPE2980501298CLUSTER2980410066.95327.39609KQ3: NUMBER OWNED29801402.0842.63209KQ6: NUMBER BOUGHT2627211526334151Sysmiss27209KQ9: NUMBER SOLD129711Sysmiss297HOUSEHOLD ID (CLUST,NH)2980443100636725.3862736.92609KQ4: VALUE OF EQUIP OWNED29711258000000146813.855539179.209KQ7: AMT PAID FOR BUYING EQUI2627215020000053248.07760644.81109KQ10: VALUE RECD FROM SELLING129715000001Sysmiss29709KQ11: AMT RECD LEASING EQUIP29800480000019840.275279032.861HOUSEHOLD NUMBER298018130.08419.11709KQ1: CODE-FARM EQUIP OWNED298014233334115561167583598609KQ2: EQUIP CURRENTLY OWNED?2980129809KQ5: BOUGHT EQUIP IN PAST 122980126227209KQ8: SOLD EQUIP IN PAST 12 MO2980112297CARD TYPE7440512744CLUSTER7440110043.47426.49810AQ9: NO. OF WORKERS PAID646801303.9534.842HOUSEHOLD ID (CLUST,NH)7440105100534377.9022649.77110AQ7: TOTAL NO. OF WORKERS-PAS74400311.8292.40210AQ19: SALES REVENUES SINCE LA602142025000000132515.7811229556.07110AQ21: VALUE IN-KIND REV SINCE673835050001808.3331746.54410AQ23: VALUE OF HH CONS SINCE310434502000003218.77412277.52610AQ25: TOTAL AMT MADE IN LAST13960506000000120776.259530881.225HOUSEHOLD NUMBER744019030.45619.00910AQ1A: NUMBER OF ENTERPRISE74401543214735410AQ1B: CODE OF ENTERPRISE744013022.3496.90510AQ2: CODE OF BEST-INF PERSON744012692236351431531623717826914101011712613514515416418219120121110AQ3: WAS THIS PERSON INTERVIE74311706237Sysmiss110AQ4A: YRS BUSINESS IN EXISTEN685590819.52110.65710AQ4B: MONTHS BUSINESS IN EXIS1106340413821231541055613758293103Sysmiss63410AQ5: OWN ALL OF BUSINESS?744017352910AQ6: PROP OF BUSINESS OWNED9735105036.66714.7910AQ8: PAID ANY WORKERS IN PAST7440164268010AQ10: UNION IN ENTERPRISE?127321428Sysmiss73210AQ11: ENTERPRISE GIVE LEAVE?127321428Sysmiss73210AQ12: ENTERPRISE GIVE PAID SI127321428Sysmiss73210AQ13: ENTERPRISE PAY PENSION?127321329Sysmiss73210AQ14: SUBJECT TO MIN WAGE?127321428Sysmiss73210AQ15: SIGN CONTRACT AT HIRING127321527Sysmiss73210AQ16: ENTERPRISE OCCUPY FIXED74401622212210AQ17: MOS IN OPER IN PAST 1274400512821733342751463578824932106011251243610AQ18: ENT OPERATING SINCE LAS30943511702139Sysmiss43510AQ20: RECD ANY IN-KIND PAYMEN605139162599Sysmiss13910AQ22: HOUSEHOLD CONSUME GOODS60513913102295Sysmiss13910AQ24: SALES COMPARED TO PREV60513912052400Sysmiss13910AQ26: DAYS BUS. IN OPER. SINC736812812.9586.29710AQ27: SPEND MONEY ON SELF FRO73681664272Sysmiss810AQ28A: AMOUNT SPENT ON SELF6648030196608017832.425105477.51410AQ28B: HOW OFTEN MONEY SPENT66480113326410951716974844Sysmiss8010AQ29: NET INCOME FROM BUSINE736816242112Sysmiss810AQ30A: VALUE OF NET INCOME624120501277952039986.071517002.17210AQ30B: TIME UNIT OF NET INCOM6241201132144110524661074839Sysmiss120CARD TYPE180805211808CLUSTER18080110038.92425.935HOUSEHOLD ID (CLUST,NH)18080105100533922.6752594.03910BQ2: AMOUNT OF LAST EXP180535100000200184426.6563116169.87HOUSEHOLD NUMBER1808019030.25218.77910BQ1A: NO. OF ENTERPRISE18080113562327312510BQ1B: CODE OF BUSINESS EXPEND1808016323183367469570640728889594510281124712135134310BQ3A: TIMES PAID18080114042237311142251061810215218120110BQ3B: UNIT OF TIMES PAID1808025344544655540665724826410BQ4: DOES HH/OTHER BUS ALSO B13154931778253681Sysmiss493CARD TYPE9780531978CLUSTER9780110045.98626.383HOUSEHOLD ID (CLUST,NH)9780105100534628.3552638.83410CQ2: PRICE YOU COULD SELL IT9762508000300161372062.64526832030.436HOUSEHOLD NUMBER978019029.78618.55910CQ1A: NO. OF ENTERPRISE97801724218337110CQ1B: CODE OF BUSINESS ASSET978014362153316221744018121CARD TYPE582705415827CLUSTER58270110048.7428.8611AQ1: CODE OF HOUSEHOLD EXPENS5827010176610286610314661044251051961063241071901081318109276HOUSEHOLD ID (CLUST,NH)58270103100664905.6822885.32611AQ2: AMT SPENT SINCE LAST VIS5827002300002281.6547475.294HOUSEHOLD NUMBER5827019031.68218.872CARD TYPE22217055122217CLUSTER222170110050.54327.8211BQ1: CODE OF HOUSEHOLD EXPENS222170115145127.6829.115HOUSEHOLD ID (CLUST,NH)222170103100665086.3422780.86711BQ3: AMT SPENT SINCE LAST VIS464217575157298009932.96230821.43111BQ4: AMT SPENT IN LAST 12 MON221972001568000036149.147176433.164HOUSEHOLD NUMBER22217019032.06818.99811BQ2: SPENT MONEY SINCE LAST V22217014643217574CARD TYPE451905614519CLUSTER45190110039.19328.08211CQ1B: CODE OF GOODS OWNED4519020137020222620341220415020546220639420780520854209124210521211601212243213157HOUSEHOLD ID (CLUST,NH)45190103100663951.4052806.24211CQ3: COST AT ACQUISITION444475010000000153123.646529737.09711CQ4: CURRENT VALUE OF THE GOO44803906900000105661.972365866.635HOUSEHOLD NUMBER4519019032.06419.11411CQ1A: ITEM NUMBER451901125429043649449053636274719181329911056113712301320141215716517118119121111CQ2: YEAR GOOD ACQUIRED449524108779.5566.294CARD TYPE111705711117CLUSTER11170110044.47428.258HOUSEHOLD ID (CLUST,NH)11170103100634480.8892823.9611DQ6: VALUE OF ASSISTANCE PAST11161300240000068465.273153114.058HOUSEHOLD NUMBER1117019033.5319.46811DQ2: ORDER OF PERSON ASSISTED111701775219337543551761374839211DQ3: RELATION TO PERSON ASSIS11170118227132444238556627188519194102511DQ4: RESIDENCE OF PERSON ASSI11170146621743256421051111DQ5: REGION OF RESIDENCE1117013252613159491578660716283895610131151242132314411DQ7: WILL PERSON REPAY PART/F1117011721100CARD TYPE26321058126321CLUSTER263210110046.4827.82812AQ1: CODE-FOOD BOUGHT-PAST 12263210301334316.9229.324HOUSEHOLD ID (CLUST,NH)263210103100664680.242782.00912AQ3: AMOUNT SPENT SINCE LAST20002631910600001423.592391.53812AQ7: AMOUNT SPENT EACH TIME2632013117750664.5912244.417HOUSEHOLD NUMBER26321019032.2118.97512AQ2: BOUGHT ITEM SINCE LAST V2632101200042631712AQ4: MONTHS ITEM BOUGHT IN PA2632101711284331261465956046854712883229135104251146122033312AQ5: HOW OFTEN ITEM BOUGHT?263210011170612531532543489752936145710851036122141151016118112AQ6: TIME UNIT-HOW OFTEN2632102113709641042257550635571028785CARD TYPE657005916570CLUSTER65700310067.02119.42812BQ2: CODE-HOME PROD FOOD EATE65700301332312.818.863HOUSEHOLD ID (CLUST,NH)65700308100666733.5231942.04512BQ5: COST PER DAY IF BOUGHT65700070000599.2251946.57HOUSEHOLD NUMBER6570019031.45318.9112BQ3: MONTHS ITEM CONSUMED PAS6570014182552389243475292664571338287911610305113512254812BQ4A: HOW OFTEN ITEM EATEN?657001301.9431.52612BQ4B: TIME UNIT-HOW OFTEN65700213321042398587061574872CARD TYPE149506011495CLUSTER14950110051.19528.686HOUSEHOLD ID (CLUST,NH)14950103100665151.1832867.854HOUSEHOLD NUMBER1495019031.65218.97413AQ1A: ID NUMBER OF FERTILE WO14950177278431364835886467638569491031111312151320145151016617518419413AQ1B: WAS SHE PRESENT AT INTE1495011387210813AQ1C: WAS SHE EVER PREGNANT?1495011293220213AQ2: DID SHE EVER GIVE BIRTH?129320211251242Sysmiss202CARD TYPE620606116206CLUSTER62060110056.00726.76HOUSEHOLD ID (CLUST,NH)62060103100665631.782675.153HOUSEHOLD NUMBER6206019031.05418.98113BQ3: ORDER OF CHILD6206011251210663917478256426503737982799186101051153123013914215213BQ4A: MONTH OF BIRTH24853721127622393243422852526184720781639163101701113112229Sysmiss372113BQ4B: YEAR OF BIRTH6205138669.64512.78813BQ5: SEX OF CHILD62060131552305113BQ6: CHILD STILL ALIVE?62060148902131613BQ7: CHILD LIVING IN HH?488913171295421935Sysmiss131713BQ8: ID NUMBER OF CHILD295532511685.9953.49413BQ9A: MONTHS CHILD SURVIVED72554810302.1383.29913BQ9B: YEARS CHILD SURVIVED82953770524.8537.2513BQ10: ANY OTHER BIRTHS?620421496321241Sysmiss2CARD TYPE149206211492CLUSTER14920110051.24728.673HOUSEHOLD ID (CLUST,NH)14920103100665156.3852866.551HOUSEHOLD NUMBER1492019031.65318.98813CQ11: NUMBER OF CHILDREN1250242118621483137413751376128799891980105311221221137142191211Sysmiss24213CQ12: PRE-NATAL CONSULT LAST124924319082341Sysmiss24313CQ13: NO OF TIMES CONSULTED9075851245.062.28813CQ14: LAST CHILD BORN IN MATE124824417032545Sysmiss24413CQ15: LAST CHILDS BIRTH ASSIS123925314226543104419511163Sysmiss25313CQ16: BREAST FEED LAST CHILD?124924311218231Sysmiss24313CQ17: MONTHS LAST CHILD BREAS121727504814.5537.83313CQ18: ANY STILLBIRTHS/MISCARR129319914612832Sysmiss19913CQ19: TOTAL NUMBER OF PREGNAN462103012172140364425576681101121Sysmiss103013CQ20: CURRENTLY PREGNANT?1290202112121169Sysmiss20213CQ21: NO OF MONTHS PREGNANT120137212211310417515621714817912101Sysmiss137213CQ22: EVER MARRIED/LIVED WITH147715112802197Sysmiss1513CQ23: AGE STARTED LIVING TOGE129120188317.9163.95113CQ24A: WHEN STARTED LIVING TO621871177277363456554641755844928103811301258Sysmiss87113CQ24B: YEAR STARTED LIVING TO1288204108665.37614.319CARD TYPE127206311272CLUSTER12720110039.49126.00614AQ1: CODE-OTHER INCOME IN PAS1272040181402474034404154051940610940721340852409102410349411274121441320041424151141727HOUSEHOLD ID (CLUST,NH)12720107100533981.3052599.44714AQ2: AMOUNT OF INCOME IN PAST12571520030000000248604.3671106997.788HOUSEHOLD NUMBER1272019032.24819.082CARD TYPE5750641575CLUSTER5750110055.5328.32HOUSEHOLD ID (CLUST,NH)5750115100535584.5132829.91114BQ6: AMOUNT OF RECEIVED5750500130000058661.374113061.51HOUSEHOLD NUMBER575016531.4718.93214BQ2: ORDER OF PERSON ASSISTIN575014562763234135362719114BQ3: RELATION OF PERSON ASSIS5750192207330410651867758149122105714BQ4: RESIDENCE OF PERSON ASSI5741135525937947259Sysmiss114BQ5: REGION OF RESIDENCE57501237227383446556627774839312713714514BQ7: WILL REPAY ANY PART OF M5750122573CARD TYPE159806511598CLUSTER15980110050.42928.897HOUSEHOLD ID (CLUST,NH)15980103100665074.8152889.09115AQ2: AMOUNT OWED TO HOUSEHOLD8187802757225000219599.778656450.81315AQ4: AMOUNT OWED BY HOUSEHOLD588101010020000000357533.8441463778.939HOUSEHOLD NUMBER1598019031.88619.02315AQ1: LENT MONEY/GOODS?159801818278015AQ3: BORROWED MONEY/GOODS?15980158821010CARD TYPE7890661789CLUSTER7890110050.56727.911HOUSEHOLD ID (CLUST,NH)7890107100665091.0062790.75915BQ4: VALUE OF LOANS7890021240000356924.2881572421.06315BQ9: AMOUNT TO BE PAID ADDITI978050005000024555.55615346.91415BQ12A: HOW MUCH IS REGULAR PA1816085007000000108862.729564222.59315BQ14: AMT TO BE PAID IF LOAN787210013000000224131.9561016405.677HOUSEHOLD NUMBER789019034.35218.83915BQ1: LINE NUMBER OF LOAN789015872132350411556415BQ2: CREDITOR CODE7890162225834142054815BQ3: NUMBER OF LOANS7890178223426215BQ5A: MONTH LOAN TAKEN621168153258366457552657759835954105211311247Sysmiss16815BQ5B: YEAR LOAN TAKEN78907317417617717837948012818821883418471852078641987215BQ6: INTEREST RATE SPECIFIED?78901137265215BQ7: ANNUAL INTEREST RATE ON12466527116.82311.52215BQ8: PAY ADDITIONAL AMT FOR R7881192779Sysmiss115BQ10: GIVE COLLATERAL FOR THI779101162763Sysmiss1015BQ11: MAKE REGULAR PMTS FOR T787211792608Sysmiss215BQ12B: FREQUENCY REGULAR LOAN1806093151506573821Sysmiss60915BQ13A: MONTH LOAN FINISHES5032861122274325423521627722841927103011221269Sysmiss28615BQ13B: YEAR LOAN FINISHES55523479186.3664.48415BQ15: REASON FOR BORROWING788111352703994484Sysmiss1CARD TYPE155806711558CLUSTER15580110050.4128.9HOUSEHOLD ID (CLUST,NH)15580103100665072.7792889.46215CQ3: TOTAL AMOUNT OF SAVINGS138916940015015000250527.567911539.133HOUSEHOLD NUMBER1558019031.76419.02715CQ1: ANY SAVINGS?1558011390216815CQ2A: POST OFFICE SAVINGS ACT139016816521325Sysmiss16815CQ2B: BANK SAVINGS ACCOUNT?1390168126721123Sysmiss16815CQ2C: HOUSING SAVINGS FUND?139016811721373Sysmiss16815CQ2D: RURAL SAVINGS FUND?13901681921381Sysmiss16815CQ2E: BNDA FUND?139016817221318Sysmiss16815CQ2F: CAISSE AUTON D AMORTISS13901681121389Sysmiss16815CQ2G: POSTAL CHECKING ACCOUNT139016811121379Sysmiss16815CQ2H: OTHER BANK ACCOUNTS?1390168123821152Sysmiss16815CQ2I: BONDS?13901681421386Sysmiss16815CQ2J: STOCKS(IN COMPANIES OR139016811721373Sysmiss168CARD TYPE13154071171127216042CLUSTER131540110050.48327.79216AQ4: HEIGHT IN MMS1008530697519201385.924316.507HOUSEHOLD ID (CLUST,NH)131540103100665079.8382777.76716AQ3: WEIGHT IN GRAMS10094306083013100040996.74621419.365HOUSEHOLD NUMBER13154019031.54819.014PERSON ID1315401626.3925.011AGE IN YRS - 16A12861293010121.5418.87516AQ1: SEX W/PREG & LACTATING118881266157362532332014628Sysmiss126616AQ2: DAY OF INTERVIEW10300285413116.3729.53216AQ2: MONTH OF INTERVIEW10300285415992593313604133513816677795881071910571011001149612875Sysmiss285416AQ2: YEAR OF INTERVIEW103002854568786.0460.5516AQ5: REASON FOR NOT MEASURING2772103821199232335444252154Sysmiss1038216BQ4: HEIGHT IN MMS4468868615919001380.687329.81216BQ3: WEIGHT IN GRAMS4471868385013000041517.46721920.424AGE IN YRS - 16B60327122010122.10219.43916BQ1: SEX W/PREG & LACTATING5384777012629224583704227Sysmiss777016BQ2: DAY OF INTERVIEW4542861213114.5887.76216BQ2: MONTH OF INTERVIEW45428612143421348945205521648171798571930104551142812433Sysmiss861216BQ2: YEAR OF INTERVIEW45428612618786.0810.58616BQ5: REASON FOR NOT MEASURING156911585175219835443151211Sysmiss11585CARD TYPE13110071113110CLUSTER131100110050.55227.77216AQ4: HEIGHT IN MMS1008530257519201385.924316.507HOUSEHOLD ID (CLUST,NH)131100103100665086.7852775.77416AQ3: WEIGHT IN GRAMS10094301683013100040996.74621419.365HOUSEHOLD NUMBER13110019031.58319.022PERSON ID1311001626.3895.012AGE IN YRS - 16A12861249010121.5418.87516AQ1: SEX W/PREG & LACTATING118881222157362532332014628Sysmiss122216AQ2: DAY OF INTERVIEW10300281013116.3729.53216AQ2: MONTH OF INTERVIEW10300281015992593313604133513816677795881071910571011001149612875Sysmiss281016AQ2: YEAR OF INTERVIEW103002810568786.0460.5516AQ5: REASON FOR NOT MEASURING2772103381199232335444252154Sysmiss10338CARD TYPE604207216042CLUSTER60420110050.52628.27616BQ4: HEIGHT IN MMS4468157415919001380.687329.812HOUSEHOLD ID (CLUST,NH)60420103100665083.9252826.80116BQ3: WEIGHT IN GRAMS4471157185013000041517.46721920.424HOUSEHOLD NUMBER6042019031.3619.202PERSON ID604201406.435.01AGE IN YRS - 16B603210010122.10219.43916BQ1: SEX W/PREG & LACTATING538465812629224583704227Sysmiss65816BQ2: DAY OF INTERVIEW4542150013114.5887.76216BQ2: MONTH OF INTERVIEW45421500143421348945205521648171798571930104551142812433Sysmiss150016BQ2: YEAR OF INTERVIEW45421500618786.0810.58616BQ5: REASON FOR NOT MEASURING15694473175219835443151211Sysmiss4473CARD TYPE625707316257CLUSTER62570110051.94728.292HOUSEHOLD ID (CLUST,NH)62570103100665226.1972827.857HOUSEHOLD NUMBER6257019031.47118.493PERSON ID - 1985625701356.4775.06717Q1: REGISTERED THIS YEAR?62570151172114017Q2: PERSON ID - 1986511611411405.954.75317Q3: REASON FOR ABSENCE?1089516815628283205Sysmiss516817Q4: REASON FOR LEAVING HH?8275430135621133864272Sysmiss543017Q5: PERSON MIGRATED?818543915392279Sysmiss543917Q6: PLACE OF MIGRATION54057171262210438045153766Sysmiss571717Q7A: MONTH OF MIGRATION10625195194280358491569685789810491251012411471296Sysmiss519517Q7B: YEAR OF MIGRATION108051778418571786361871Sysmiss5177CLUSTER795069849.36728.34HOUSEHOLD NUMBER795018733.94818.7757950NON-PANEL HOUSEHOLDS IN 1985 (SET 1)795CLUSTER6537069851.54128.034HOUSEHOLD NUMBER6537018734.19719.372PERSON ID653701947.318.327CLUSTER79019938.49430.265HOUSEHOLD NUMBER79026632.74719.749790REJECTED HOUSEHOLDS FROM 1ST PANEL IN 1985 (SET 2)79CLUSTER448019936.31928.72HOUSEHOLD NUMBER448026633.03619.286PERSON ID44801275.5854.812CLUSTER7140110053.22829.131HOUSEHOLD NUMBER714019031.34718.38771401ST PANEL HOUSEHOLDS IN 1985 (SET 3)714CLUSTER57620110052.4328.412HOUSEHOLD NUMBER5762019031.60618.497PERSON ID576201356.4555.007CLUSTER7140110053.22829.131HOUSEHOLD NUMBER714019031.34718.38771401ST PANEL HOUSEHOLDS IN 1986 (SET 4)714CLUSTER57360110052.11928.753HOUSEHOLD NUMBER5736019031.66618.457PERSON ID573601406.3784.93CLUSTER86019937.96529.251HOUSEHOLD NUMBER86026630.5719.665860REJECTED HOUSEHOLDS FROM 1ST PANEL IN 1986 (SET 5)86CLUSTER495019941.53728.143HOUSEHOLD NUMBER495026631.14519.288PERSON ID49501265.6995.103CLUSTER107069840.98124.881HOUSEHOLD NUMBER107017532.57921.3131070REJECTED HOUSEHOLDS FROM 2ND PANEL IN 1986 (SET 6)107CLUSTER769069840.47124.187HOUSEHOLD NUMBER769017532.12720.506PERSON ID76901276.0474.719CLUSTER693069850.65428.537HOUSEHOLD NUMBER693018432.39719.23669302ND PANEL HOUSEHOLDS IN 1986 (SET 7)693CLUSTER5399069851.08927.349HOUSEHOLD NUMBER5399018431.35419.316PERSON ID539901396.3715.021CLUSTER693069850.65428.537HOUSEHOLD NUMBER693018432.39719.23669302ND PANEL HOUSEHOLDS IN 1987 (SET 8)693CLUSTER5099069851.05627.537HOUSEHOLD NUMBER5099018431.72919.248PERSON ID509901305.7934.398CLUSTER107069840.98124.881HOUSEHOLD NUMBER107017531.64520.4421070REJECTED HOUSEHOLDS FROM 2ND PANEL IN 1987 (SET 9)107CLUSTER671069841.48424.574HOUSEHOLD NUMBER671017531.37420.596PERSON ID67101225.4874.026CLUSTER990101148119.51511.904HOUSEHOLD NUMBER9901619.8487.307990REJECTED HOUSEHOLDS FROM 3RD PANEL IN 1987 (SET 10)99CLUSTER5730101148120.28611.966HOUSEHOLD NUMBER573016110.0318.257PERSON ID57301385.9095.813CLUSTER7010101150126.34514.573HOUSEHOLD NUMBER70101919.818.01970103RD PANEL HOUSEHOLDS IN 1987 (SET 11)701CLUSTER45700101150126.30913.92HOUSEHOLD NUMBER4570019110.2849.983PERSON ID457001325.4364.329CLUSTER7010101150126.34514.573HOUSEHOLD NUMBER70101919.818.01970103RD PANEL HOUSEHOLDS IN 1988 (SET 12)701CLUSTER45770101150126.23613.94HOUSEHOLD NUMBER4577019110.2739.789PERSON ID457701325.2884.127CLUSTER990101148119.51511.904HOUSEHOLD NUMBER99016112.047.566990REJECTED HOUSEHOLDS FROM 3RD PANEL IN 1988 (SET 13)99CLUSTER5230101148120.30612.168HOUSEHOLD NUMBER523016112.6529.41PERSON ID523019927736445855364073182591810131111126135145155164174182192201CLUSTER80103.69e-40200175.28115.707HOUSEHOLD NUMBER80103.68776914259433e-4011472483494495496487478469471047114612481349144915461649172018101942028000NON-PANEL HOUSEHOLDS IN 1988 (SET 14)800CLUSTER47680151200175.11314.258HOUSEHOLD NUMBER47680133623293295429853296261727182579234102591126412333133081429115245162441712518611919209PERSON ID476801254.7983.587CLUSTER15980110050.52428.883HOUSEHOLD NUMBER1598019031.8219.025FIVE REGIONS159801335235233674240530442311752209.315122186741737510.4521871092.3479986002708.3335672383.5760048.891811585.456212138683.3333834387.5108574.412335180.22546105210007768594700431.741932502.751409118975808942.31325995.69767455.742112347512105.063488287.75330892.968487725.30517514233868.67354200060872.61495438.1654571141100058000058975.86593799.93329413042002700000227252.683393798.8182581340680.3342960482.25372822.244456108.09159171000142484061517586.0061657370.52159801377.7584.893CLUSTER16000110050.47428.9HOUSEHOLD NUMBER1600019031.84319.024FIVE REGIONS16000133723523367424053041598212503285982.75486259.736445426.9421001599433.3334627941.5346714.577311599.4132431357434.524625714.31367177.35693410.4011600018221.4577765021780705.015871727.292870730150128500073314.432109403.1332581342680.3342960482.25372822.244456108.091600056371.43103705451593455.1051388011.743160001377.7494.896CLUSTER16000110050.47428.9HOUSEHOLD NUMBER1600019031.84319.02416000103100665079.2182889.388160000.3714.49810.365160000.3714.49810.365160000.3714.49810.3651600019861600160001160016000116001600011600160000.07623.5410.9950.427160001: ABIDJAN3372: OTHER CITIES3523: EAST FOREST3674: WEST FOREST2405: SAVANNA3041600013372352336742405304160000.07625.5710.990.5311600001600160002401600327.15152.687160000.07535.68710.538160000.07535.68710.5381600011600160000.07535.68710.538CLUSTER NUMBER570441007216.598DAY OF INTERVIEW57013116.4569.222MONTH OF INTERVIEW570162139425765728892105113127YEAR OF INTERVIEW5708651876SUPERVISOR IC5705176191410131212TIME STARTED INTERVIEW-HR5616371081497105113141152162178181Sysmiss1TIME STARTED INTERVIEW-MIN51655628.11816.227TIME FINISHED INTERVIEW-HR56176810912106118163172186192201Sysmiss1TIME FINISHED INTERVIEW-MIN54355834.81514.437570441007216.598POPULATION570120190002853.1233486.479MAIN ETHNIC GROUP57023111.9479.2842ND ETHNIC GROUP516331177.5073RD ETHNIC GROUP441323118.9098.7014TH ETHNIC GROUP312623016.9039.368MAIN RELIGION5611162243441052Sysmiss12ND RELIGION5161172103164751Sysmiss63RD RELIGION32251102235465762Sysmiss254TH RELIGION1839162131465361Sysmiss39NET MIGRATION5701312113847CONCENTRATION OF HAMLETS570135222NO. OF HAMLETS?2334320020.52243.903570441007216.598YRS VILLAGE EXISTED552143000195.473423.247MAIN ECON ACTIVITY5701572ND ECON ACTIVITY5161424331718191Sysmiss63RD ECON ACTIVITY17401725326271Sysmiss404TH ECON ACTIVITY55211224161Sysmiss52CHANGE IN LIFE COND.570125232CHANGE IN LIFE COND-REASON 157012913.05311.371CHANGE IN LIFE COND-REASON 2471022714.57411.013CHANGE IN LIFE COND-REASON 320371299.511.171CHANGE IN LIFE COND-REASON 465122918.83311.923IS THERE PAVED ROAD?570112245DISTANCE TO PAVED ROAD:KMS4512220038.42249.07570441007216.598IS ROAD PASSABLE?570128229TIME ROAD IN BAD CONDITIONS282912127Sysmiss29ELECTRICITY SERVICE?570111246HH W/ELECTRICITY SERV114611021Sysmiss46RUNNING WATER SERVICE?57015252HH W/ RUNNING WATER5521421Sysmiss52570441007216.598SOURCE OF WATER/DRY SEASON570132231342151464SOURCE OF WATER/RAINY SEASON570132231242251464AVAILABILITY OF RESTAURANT/BAR?570119238AVAILABILITY OF COMMUNICAT SERV57012255DISTANCE TO COMMUNICAT SERV:KMS53426319.30213.416AVAILABILITY OF MARKET PLACE?570115242AVAILAB OF TEMPORARY MARKET?4215115227Sysmiss15FREQUENCY OF TEMPOR MARKET14431112241Sysmiss43DISTANCE TO TEMPORARY MARKET:KM2829112234435163738192102111141152161181Sysmiss29570441007216.598PUBLIC TRANSPORTATION?570146211DISTANCE TO PUBLIC TRANSPORT:KM114623018.2739.307FREQUENCY OF PUBLIC TRANSPORT46111422334258616711Sysmiss11WORKING CHILDREN < 12 YRS?570122235TEMPORARY WORKERS GO ELSEWHERE?570144213PLACES WHERE TEMPOR WORK GO-1ST451224315.33312.492PLACES WHERE TEMPOR WORK GO-2ND372014320.16211.064KIND OF TEMPORARY WORK-1ST441317315.56823.111KIND OF TEMPORARY WORK-2ND253216317.3219.209TIME TEMP WORK GO ELSEWHERE451211211334105467738492Sysmiss12AVERAGE AGE OF TEMP WORKERS441318320132292312513271281302351Sysmiss13570441007216.598DO PEOPLE COME TO WORK IN VILL?57015423PLACE WHERE TEMP WORK COME-1ST53424534.2838.646PLACE WHERE TEMP WORK COME-2ND4314104335.1167.255KIND OF TEMPORARY OCCUPAT-1ST5431532.6117.436KIND OF TEMPORARY OCCUP-2ND13441247.4629.024TIME TEMP WORK GO ELSEWHERE5431121035411546137288Sysmiss3AVERAGE AGE OF TEMP WORKERS543184025.1484.354CHANGE IN EMPLOYMENT COND5701252243857044100087.789124.04IS THERE A PRIM SCH IN THE VILL57014928DISTANCE TO PRIMARY SCHOOL:KMS84911213342101Sysmiss49TYPE OF SCHOOL - NO.1570157TYPE OF SCHOOL - NO.2164111422Sysmiss41TYPE OF SCHOOL - NO.36511521Sysmiss51NO. OF CLASSROOMS-1ST SCH5701121364152631710124131NO. OF CLASSROOMS-2ND SCH1641314161073121Sysmiss41NO. OF CLASSROOMS-3RD SCH6512164101Sysmiss51YEAR SCHOOL WAS BUILT-NO.1561418466.89310.974YEAR SCHOOL WAS BUILT-NO.21641418269.12512.307YEAR SCHOOL WAS BUILT-NO.365149857314.283PROP OF CHILD. IN SCHL-BOYS5701182163441455570441007216.598PROP OF CHILD. IN SCHL-GIRLS57011821335411510REASON NO.1 FOR NOT ATT SCH534122325661811014111126Sysmiss4REASON NO.2 FOR NO ATT SCH2136162133415381102111123Sysmiss36REASON NO.3 FOR NOT ATT SCH6514183122Sysmiss51SECONDARY SCHOOL?570257DISTANCE TO SEC SCHOL:KMS570311527.35120.006TYPE OF SECONDARY SCHOOL57014829NO.OF CLASSROOMS IN SEC SCH342384217.0886.639YEAR SCHOOL WAS BUILT3324588673.038.259570441007216.598PROP OF CHILDREN IN SEC SCH56112223241952962Sysmiss1IS THERE AN ADULT LITER PROGR?570257YEAR THE PROGRAM WAS LAUNCHED057Sysmiss57NO. OF MEN ATTEND THE PROGR057Sysmiss57NO. OF WOMEN ATTEND THE PROGR057Sysmiss57TOTAL NO. OF PEOPLE ATT PROGR057Sysmiss57MOST SERIOUS SCHOOL PROBL-1ST5701192531445665778493103MOST SERIOUS SCHOOL PROBL-2ND32251821324251617697104Sysmiss25MOST SERIOUS SCHOOL PROBL-3RD94823415161103Sysmiss48MOST SERIOUS SCHOOL PROBL-4TH25542Sysmiss55570441007216.598HEALTH SERVICES- DOCTOR?570157AVAILABILITY OF DOCTOR?570257DISTANCE TO DOCTOR:KMS570310627.35120.865TIME TO GET THERE:HOURS27301202641Sysmiss30:MINUTES362155024.86110.589NURSE?570257AVAILABILITY OF NURSE?570113244DISTANCE TO NURSE:KMS431413513.5819.04TIME TO GET THERE:HOURS174011422201Sysmiss40:MINUTES282954521.42912.609PHARMACY?570357AVAILABILITY OF PHARMACY?57011256DISTANCE TO PHARMACY:KMS55216823.29115.255TIME TO GET THERE:HOURS24331162731Sysmiss33:MINUTES362155025.41711.975MIDWIFE?570457AVAILABILITY OF MIDWIFE?57014253DISTANCE TO MIDWIFE:KMS52525617.84611.307TIME TO GET THERE:HOURS203711524201Sysmiss37:MINUTES352254522.85711.961570441007216.598MATRONE?57055661AVAILABILITY OF MATRONE?5701625031DISTANCE TO MATRONE:KMS48925617.16712.136TIME TO GET THERE:HOURS203711623201Sysmiss37:MINUTES312654522.90311.746TRADITIONAL BIRTH ATTENDANCE57065671AVAILABIL TRAD BIRTH-ATT?57015522DISTAN TO TRAD BIRTH-ATT:KMS156131Sysmiss56TIME TO GET THERE:HOURS15611Sysmiss56:MINUTES057Sysmiss57HEALER?57075681AVAILABILITY OF HEALER?57015225DISTANCE TO HEALER:KMS45351131181221Sysmiss53TIME TO GET THERE:HOURS35413Sysmiss54:MINUTES25553017.517.678HOSPITAL57085691AVAILABILITY OF HOSPITAL?570257DISTANCE TO HOSPITAL:KMS561414239.51832.749TIME TO GET THERE:HOURS322511821242Sysmiss25:MINUTES352255025.71411.058570441007216.598DISPENSARY570956101AVAILABILITY OF DISPENSARY?570114243DISTANCE TO DISPENSARY:KMS411623514.5129.006TIME TO GET THERE:HOURS164111322201Sysmiss41:MINUTES282954521.96412.423MATERNITY5701056111AVAILABILITY OF MATERNITY?57015252DISTANCE TO MATERNITY:KMS51625616.84311.275TIME TO GET THERE:HOURS193811523201Sysmiss38:MINUTES352254523.42912.472P.M.I.5701156121AVAIL OF PROTECT MATERN INFAN?57011256DISTANCE TO P.M.I.:KMS55221803938.08TIME TO GET THERE:HOURS30271172103142Sysmiss27:MINUTES362155024.16711.116570441007216.598OTHER HEALTH SERVICES?56113253Sysmiss11ST MAJOR HEALTH PROBLEM5071223318415561071810Sysmiss72ND MAJOR HEALTH PROBLEM312629376788Sysmiss263RD MAJOR HEALTH PROBLEM1740213241526388Sysmiss404TH MAJOR HEALTH PROBLEM3546182Sysmiss54MAJOR PROB W/HEALTH SERV-1ST570128223548637695MAJOR PROB W/HEALTH SERV-2ND362118214963778492102Sysmiss21MAJOR PROB W/HEALTH SERV-3RD1740123142517493103121Sysmiss40MAJOR PROB W/HEALTH SERV-4TH5521291101121Sysmiss52MATERNITY CARE57012523141570441007216.598MAJOR CROPS-FIRST CROP5701247.3518.234NO. OF HARVESTS PER YEAR57014253PLACE WHERE HARVEST IS SOLD570152133114152661SECOND CROP5701247.0887.963NO. OF HARVESTS PER YEAR57013254PLACE WHERE HARVEST IS SOLD570152123124152661THIRD CROP57012214.4746.325NO. OF HARVESTS PER YEAR57015252PLACE WHERE HARVEST IS SOLD5701162163134854FOURTH CROP57022415.2816.386NO. OF HARVESTS57015252PLACE WHERE HARVEST IS SOLD570120215312465262FIFTH CROP55212415.65.691NO. OF HARVESTS PER YEAR55217248Sysmiss2PLACE WHERE HARVEST IS SOLD5521222153124452Sysmiss2SIXTH CROP49822416.8575.694NO. OF HARVESTS PER YEAR49818241Sysmiss8PLACE WHERE HARVEST IS SOLD4981212133124152Sysmiss8SEVENTH CROP431412516.1635.972NO. OF HARVESTS PER YEAR431415238Sysmiss14PLACE WHERE HARVEST IS SOLD4314116215394251Sysmiss14570441007216.598EIGHT CROP31266371111122141163172182204211238243Sysmiss26NO. OF HARVESTS PER YEAR312614227Sysmiss26PLACE WHERE HARVEST IS SOLD3126115283751Sysmiss26NINTH CROP23347192123161171182202211237243Sysmiss34NO. OF HARVESTS PER YEAR233413220Sysmiss34PLACE WHERE HARVEST IS SOLD23341112735Sysmiss34570441007216.598AGRICULTUR EXTENS CENTER?570113244DISTANCE TO A.E.C.:KMS4116117532.19540.308TECHNICAL ASSISTAN AGENT?56115125Sysmiss11ST.TECH ASSIST AGENCY5162333651611Sysmiss62ND. TECH ASSIST AGENCY84921316393Sysmiss49SERVICES PROVIDED BY AGENCY-1ST525144213542Sysmiss52ND. SERVICE PROV BY AGENCY30271102338475161Sysmiss273RD. SERVICE PROV BY AGENCY12451223324451Sysmiss454TH. SERVICE PROV BY AGENCY2553161Sysmiss555TH. SERVICE PROV BY AGENCY2554161Sysmiss556TH. SERVICE PROV BY AGENCY057Sysmiss57IS THERE A COOPERATIVE?570143214570441007216.598SERV PROVIDED BY COOPER-1ST.3324123210Sysmiss242ND. SERVICE PROV BY COOPER750112531Sysmiss503RD. SERVICE PROV BY COOPER15641Sysmiss564TH. SERVICE PROV BY COOPER15621Sysmiss56FARMERS PARTICIP IN CO-OP?164114212Sysmiss41AVAILAB OF TRACTOR?57016251AVAIL RICE-COFFEE HUSK MACH?570113244USE OF CHEMICAL FERTILIZERS?570135222USE OF INSECTICIDES?570140217IRRIGATION OF FIELDS?570118239570441007216.598FREQ OF RAINS LAST 12 MONTH?570120237PURCHASE/SALE OF LANDS?57017250ARE THERE SHARECROPPERS?570138219NO. OF SHARECROPPERS38191182731043Sysmiss19CFAF PER DAY:MEN5702501500598.772248.309CFAF PER DAY:WOMEN5431503000565.278411.349CFAF PER DAY:CHILDREN525751500458.654277.413570441007216.598IS THERE LIVESTOCK?570122235NO. OF CORRALS?2235192534425161Sysmiss35IS THERE MUTUAL AID SYST?570150277102210063.25422.227DAY OF INTERVIEW701130157.75MONTH OF INTERVIEW701173647576674810108117128Sysmiss1YEAR OF INTERVIEW7018663877Sysmiss1SUPERVISOR CODE62957414.46813.736WEIGHT-BEEF MEAT-I56151001075924.375201.605PRICE-BEEF MEAT-I56153001000729.911199.341WEIGHT-BEEF MEAT-II51202751075943.039170.326PRICE-BEEF MEAT-II51202001000726.961208.497WEIGHT-BEEF MEAT-III46255251025981.73998.715PRICE-BEEF MEAT-III46253001000753.804181.504WEIGHT-FRESH FISH-I42291502100409.167325.808PRICE-FRESH FISH-I422950900172.619152.9WEIGHT-FRESH FISH-II38332001200400.526206.597PRICE-FRESH FISH-II383350500183.553113.196WEIGHT-FRESH FISH-III3140200975412.903192.439PRICE-FRESH FISH-III314075500209.677137.943WEIGHT-IMPORT RICE-I6651001500951.894203.636PRICE-IMPORT RICE-I66525240158.18228.805WEIGHT-IMPORT RICE-II6561251100958.385161.4PRICE-IMPORT RICE-II65625200156.46227.182WEIGHT-IMPORT RICE-III60111251050965.333163.141PRICE-IMPORT RICE-III601150180160.16719.066WEIGHT-LOC PEEL RICE-I44275010000710.9091470.717PRICE-LOC PEEL RICE-I442725400114.09171.919WEIGHT-LOC PEEL RICE-II4031751000551.75341.438PRICE-LOC PEEL RICE-II403125400128.2575.639WEIGHT-LOC PEEL RICE-III2744801100627.778363.382PRICE-LOC PEEL RICE-III274425400144.6377.372WEIGHT-DRY ONION-I647251000156.25139.096PRICE-DRY ONION-I6471012537.18822.27WEIGHT-DRY ONION-II647251000217.266191.877PRICE-DRY ONION-II6471020048.35932.879WEIGHT-DRY ONION-III5120251000199.216146.364PRICE-DRY ONION-III51201023052.25537.594WEIGHT-SALAD-I1655100350200.93877.227PRICE-SALAD-I16552510056.56327.792WEIGHT-SALAD-II15567537519197.837PRICE-SALAD-II15561510052.66721.947WEIGHT-SALAD-III1160100300184.09166.401PRICE-SALAD-III11602510061.36425.893WEIGHT-SALT-I4130501075571.122415.02PRICE-SALT-I4130514074.29347.689WEIGHT-SALT-II3734501050613.919386.545PRICE-SALT-II37341013576.37843.353WEIGHT-SALT-III2546501050778.08350.615PRICE-SALT-III25461012591.7639.549WEIGHT-CANN TOMATO-I071Sysmiss71PRICE-CANN TOMATO-I6926010071.6097.044WEIGHT-CANN TOMATO-II071Sysmiss71PRICE-CANN TOMATO-II6836010072.9126.709WEIGHT-CANN TOMATO-III071Sysmiss71PRICE-CANN TOMATO-III6386010073.3497.544WEIGHT-PEANUT BUTTER-I363525600129.02899.612PRICE-PEANUT BUTTER-I36351020044.30633.746WEIGHT-PEANUT BUTTER-II30412522511948.785PRICE-PEANUT BUTTER-II30411010041.83320.447WEIGHT-PEANUT BUTTER-III264550225134.03855.227PRICE-PEANUT BUTTER-III2645157544.80815.263WEIGHT-PALM OIL-I3140351550697.903326.937PRICE-PALM OIL-I314025800482.581205.584WEIGHT-PALM OIL-II2546601700703.4298.952PRICE-PALM OIL-II244725800466.667198.591WEIGHT-PALM OIL-III2447551750748.542297.239PRICE-PALM OIL-III244725800464.583175.22WEIGHT-LOC MAIZE-I2348751260358.043305.237PRICE-LOC MAIZE-I2348520032.39142.1WEIGHT-LOC MAIZE-II23481001000390.217273.73PRICE-LOC MAIZE-II2348520034.78341.134WEIGHT-LOC MAIZE-III16551001025471.875319.749PRICE-LOC MAIZE-III1655520044.06347.195WEIGHT-LOC MILLET-I2546251000576.8412.384PRICE-LOC MILLET-I254652009964.34WEIGHT-LOC MILLET-II2447751025665.625363.244PRICE-LOC MILLET-II244720225109.16758.173WEIGHT-LOC MILLET-III18531501000791.667314.011PRICE-LOC MILLET-III185340200129.44442.074WEIGHT-MANIOC-I452647537001310.667687.579PRICE-MANIOC-I45262020066.77836.837WEIGHT-MANIOC-II442730036001381.932728.649PRICE-MANIOC-II44272012564.65930.335WEIGHT-MANIOC-III304137534001273.5708.716PRICE-MANIOC-III30412012554.83326.797WEIGHT-GNAME-I393215063501701.6671285.781PRICE-GNAME-I3932501000212.564179.963WEIGHT-GNAME-II343720047751655.588943.134PRICE-GNAME-II343750500219.559133.821WEIGHT-GNAME-III244716050001703.3331243.671PRICE-GNAME-III244750500202.083123.78WEIGHT-BANANA-I561542529251155.446513.303PRICE-BANANA-I56152520081.69639.741WEIGHT-BANANA-II531830025001140.66460.893PRICE-BANANA-II52192520088.94251.07WEIGHT-BANANA-III393222521251155431.024PRICE-BANANA-III39322520096.79547.358WEIGHT-PALM NUTS-I551625750289.509206.887PRICE-PALM NUTS-I5516510019.81816.301WEIGHT-PALM NUTS-II4922501000299.286211.187PRICE-PALM NUTS-II4922510021.22417.125WEIGHT-PALM NUTS-III383350800333.684193.309PRICE-PALM NUTS-III3833510024.60518.394WEIGHT-PEEL PEANUTS-I4526251000316.333345.774PRICE-PEEL PEANUTS-I45265350102.222103.899WEIGHT-PEEL PEANUTS-II4130251025369.756351.381PRICE-PEEL PEANUTS-II41305400119.756109.012WEIGHT-PEEL PEANUTS-III2645601000421.538377.761PRICE-PEEL PEANUTS-III264510300121.923105.31WEIGHT-EGGS-I071Sysmiss71PRICE-EGGS-I55163524014515051Sysmiss16WEIGHT-EGGS-II071Sysmiss71PRICE-EGGS-II5417255048.9814.164WEIGHT-EGGS-III071Sysmiss71PRICE-EGGS-III51204515050Sysmiss20PRICE-CLOTH MATERIAL-I5120450260006613.7253994.635PRICE-CLOTH MATERIAL-II4823450260006536.4583962.534PRICE-CLOTH MATERIAL-III3437450260005741.9124262.303PRICE-PLAST SANDALS-I56153003700665.625451.728PRICE-PLAST SANDALS-II54173501200637.5161.198PRICE-PLAST SANDALS-III44272501200631.818205.262PRICE-ENAM BOWL-I403150020001221.5347.034PRICE-ENAM BOWL-II383345018001187.632316.498PRICE-ENAM BOWL-III314070019001327.742267.129PRICE-MENTHOL-I55165012585.72720.102PRICE-MENTHOL-II49225012582.34719.206PRICE-MENTHOL-III41305012081.82920.879CILSS Cluster number90550117279.07558.024Number of School90550117361118.545425.052Name of School90550Is school located in cluster?905501691422141if numclust=. then nearest clu90550-21555.26925.091school is public or private?9041141759021451Sysmiss14year when school created?90550-21988506.11862.836school has library?90550011629048housing available for teachers?905500115722848151number of grades90550-1664.4753.744number of classrooms90550-1274.6023.696number of students90550-14102239.123192.767number of girls90550-11088110.33785.929year to which the data pertain90550198698761995.306248.589Number of the CILSS Cluster11290116977.87254.722Number of the School112901207100.51254.919Name of the School11290C. MOD JEUNES FILLES4C. MODERNE AUTOROUTE8CEG4CEG ADJAME GARCONS4CEG ADJAME HARRIS8CEG ANYAMA4CEG BANGOLO4CEG BOUAFLE1CEG BOUNDIALI4CEG D'ADZOPE4CEG D'AGNIBILEKRO4CEG D'AKOUPE4CEG D'ARRAH4CEG DABAKALA4CEG DABOU4CEG DALOA4CEG DE BOCANDA3CEG DE BOUAFLE3CEG DE DALOA5CEG DE DIVO4CEG DE KATIOLA4CEG DE M'BAHIAKRO4CEG DE MAN2CEG DE TANDA6CEG DUEKOUE4CEG FERKESSE4CEG GAGNOA8CEG GD BASSAM4CEG GD LAHOU4CEG KOKO4CEG KORHOGO8CEG LAKOTA4CEG M'BATTO4CEG MAN2CEG ML KING4CEG ODIENNE4CEG PORT BOUET8CEG TANDA2CEG TSF4CEG YOPOUGON8CEST DU KETTIN3CFPC LOKO3CM ADJAME4CM COCODY4CM TREICHVILLE11COL A. NOBEL4COL ADESKA4COL ADVENTISTE11COL AHIANOT4COL AJAVON16COL AKOTA YAO1COL AKOTO YAO8COL ATLANTIDE4COL AYEMON N AGBOVIL4COL BEMA COULIBALY8COL BOSSON12COL CATHOLIQUE 2 CYC8COL CATHOLIQUE FILLE8COL CATHOLIQUE GARC4COL CESGT3COL CH DE FOUCAULD4COL CH DE GAULLE12COL CH LWANGA4COL CHATEAUBRIAND4COL DE KOUADIO M'BAT4COL DECROLY4COL DEPRI DEDI3COL DES LUTINS4COL DIAWAR3COL DIDEROT4COL DOH VALENTIN4COL DOMORAUD12COL DON BOSCO8COL DRISSA BALLO4COL EHOULE JAMES4COL EKRA MATHIEU4COL ENFANT JESUS8COL FADIGA8COL FADIGA DALOA4COL GAOUSSOU TOURE4COL GBAO GUIGLO4COL GBAO SAN PEDRO4COL GREBALO2COL GS ESPERANCE12COL GUEDE8COL GUIDY3COL GUIGY1COL H POINCARRE8COL J DE LA MENNAIS4COL J JAURES12COL JACQUES AKA AGBO4COL JEAN MERMOZ4COL KACOU JOSEPH4COL KIMOU M'BRA8COL KIRMANN4COL KIYALI4COL KOFFI GADEAU4COL KONAN N'TAPE9COL KONAN YAMOUS4COL LA MAIS DE BAMB12COL LA RENAISSANCE9COL LA RUCHE4COL LE DESTIN8COL LE MAHOU2COL LE PEDAGOGUE4COL LE WORODOUGOU4COL LEMANIA8COL LEON ROBERT4COL LES ACACIAS4COL LES ACACIAS DALO4COL LES HEURES CLAIR12COL LONIYA2COL LOUIS LE GRAND10COL MAKAN TRAORE4COL MOD JEUNES FILLE4COL MODERNE AGBOVIL4COL MONTAIGNE4COL MONTHERLANT4COL MUNICIPAL MANKON2COL N D ASSOMPT. DAL4COL N D ASSOMPTION4COL N D D'AFRIQUE4COL N D DE LA PAIX B4COL NALO BAMBA8COL OFFOUMOU YAPO6COL OUEZZIN COULIBAL4COL PASCAL4COL PAUL VI4COL PHALANGES3COL PHALEINES3COL PRIVE BLON3COL PRIVE SEKALA3COL PROTESTANT8COL RACINE4COL REINE NOUFAN4COL SEBROKO4COL SEGBE8COL SEPI4COL ST CYRILLE3COL ST DOMINIQUE SAV6COL ST ELISEE3COL ST ETIENNE4COL ST JACQUES8COL ST JEAN8COL ST JEAN BOSCO12COL ST JOSEPH4COL ST MAUR D'ALICOT4COL ST MICHEL4COL ST MICHEL TIASS8COL ST SIMON4COL ST VIATEUR4COL STE CLAIRE4COL STE ELISABETH8COL STE JEANNE D'ARC8COL STE THERESE4COL TANON NAMANKO2COL TOKPONTO4COL TOURE4COL TREICH LAPLENE4COL V HUGO20COL V SCHOELCHER2COL VOLTAIRE4COL W PONTY12COL YAMOUSSO M TH12COL ZADY8COLLEGE MODERNE8COLLEGE MODERNE 14COLLEGE MODERNE 24COLLEGE MODERNE TIAS8COLLEGE MUNICIPAL4COMPA4CS CATHOLIQUE4CS MAMADOU COULIBALY4CS PROTESTANT4CSP CATHOLIQUE4G S GOUGO4GS DAUPHINS4GS LA FARANDOLE7GS LA FARNNDOLE1GS LES DAUPHINS4IFPG8INSTITUT SC ADJAME4KYP INTEC3LYCEE8LYCEE ABENGOUROU3LYCEE AGBOVILLE4LYCEE AGENGOUROU1LYCEE CLASSIQUE12LYCEE D'ADZOPE4LYCEE DABOU4LYCEE DAOUKRO4LYCEE DE BOUAFLE4LYCEE DE DIVO4LYCEE DE GAGNOA8LYCEE DE KATIOLA4LYCEE DE MAN4LYCEE DES GARCONS4LYCEE GD BASSAM4LYCEE GUIGLO4LYCEE HOUPHOUET B.8LYCEE JEUNES FIILES1LYCEE JEUNES FILLES11LYCEE MAMI FAITAI/JF4LYCEE MIXTE4LYCEE MODERNE8LYCEE MODERNE 18LYCEE MODERNE 212LYCEE MODERNE 38LYCEE MODERNE KOUMAS12LYCEE MUNI ATTECOUBE2LYCEE MUNICIPAL8LYCEE SAINTE MARIE4LYCEE SCIENTIFIQUE4LYCEE SEGUELA4school present in cluster?1129019542175clust no. in which school lies11290-21183.10316.276school is public or private ?1129014112718Date of creation of the school11290-11987782.423964.559school has library ?11290-17571372housing for teachers available?11290-1754012374Number of cycles in the school11290-11218102307No. of grades in the 1st cycle11290-14602017218344103351No. of grades in the 2nd cycle11290-21-12460519139225329841No. of classrooms in the 1st cy11290-26013.2569.153No. of classrooms in the 2nd cy11290-2823.7749.423No. of students in the 1st cycl11290-23712737.4593.718No. of girls in the 1st cycle11290-210468.47692.121No. of students in the 2nd cycl11290-23977183.867443.282No. of girls in the 2nd cycle11290-26904.53851.632Total no. of students, both cyc11290-13977920.956772.166Year to which the data pertain11290168519881986.339.046Name of the Inspectorate5150ABENGOUROU I4ABENGOUROU II8ABOBO EST I2ABOBO GARE4ABOBO OUEST II3ABOISSO12ADJAM3ADJAM EST2ADJAM OUEST4ADZOP I4AGBOVILLE I4AGBOVILLE II12AGNIBILKRO6AKOUP8ANYAMA4ARRAH1ATTECOUB1ATTCOUB1BANGOLO6BANGOLO /BANGOLO I4BIANKOUMA5BINGERVILLE4BOCANDA8BONGOUANOU7BONOUA4BOUAFL12BOUAK AIR FRANCE11BOUAK BELLEVILLE2BOUAK KOKO8BOUAK N'GATTAKRO8BOUAK S/PRFECTURE4BOUNDIALI8COCODY-PLATEAU9DABAKALA4DABOU2DABOU I3DABOU II2DALAO SUD1DALOA I6DALOA NORD2DALOA SUD4DALOA SUD/III4DANAN4DAOUKRO4DIVO NORD/I11DIVO SUD6DUKOU6FERKESSDOUGOU2GAGNOA I, II, III9GAGNOA III2GRAND LAHOU5GRAND-BASSAM3GRANG-BASSAM1GUIGLO12ISSIA4KATIOLA3KORHOGO I12KORHOGO II2KOUMASSI8KOUN-FAO4LAKOTA I4LAKOTA II4M'BAHIAKRO7M'BATTO6MAN I4MAN II4MANKONO10MARCORY16NIAKARAMADOUGOU4ODIENN I2ODIENN SUD4OUM4PORT-BOUET4SAN PDRO4SASSANDRA4SIKENSI4SINFRA8SOUBR8SGULA11TANDA12TENGRLA8TIASSAL6TIBISSOU4TOUBA4TOUMODI5TREICHVILLE10VAVOUA4YAMOUSSOUKRO CENTRE5YOPOUGON CENTRE/I9YOPOUGON OUEST8YOPOUGON-EST7ZOUAN-HOUNIEN4ZUNOULA8Number of the Inspectorate515019540.64326.201Name of the Department5150ABENGOUROU12ABIDJAN118ABOISSO12ADZOP12AGBOVILLE16AGNIBILKRO6BANGOLO10BIANKOUMA5BONDOUKOU1BONGOUANOU14BOUAFL12BOUAKE1BOUAK32BOUNDIALI8DABAKALA4DALOA17DANAN11DAOUKRO4DIMBOKRO8DIVO15DUKOU6FERKESSDOUGOU1FERKSSDOUGOU1GAGNOA11GRAND LAHOU5GUIGLO9ISSIA4KATIOLA7KORHOGO14LAKOTA8M'BAHIAKRO7MAN8MANKONO10ODIENN5ODINN1OUM6SAN PDRO4SASSANDRA4SINFRA8SOUBR8SGULA9TANDA15TENGRLA8TIASSAL6TOUBA6TOUMODI5VAVOUA4YAMOUSSOUKRO9ZUNOULA8Number of the Department515015018.63315.469Name of sub-prefecture5150ABENGOUROU12ABIDJAN91ABOISSO8ADZOP4AGBOVILLE15AGNIBILKRO6AKOUP8ANYAMA4ARRAH7BANGOLO10BIANKOUMA3BINGERVILLE4BINHOUY4BOCANDA4BONOUA4BOUAFL12BOUAK32BOUNDIALI2BUYO2DABAKALA3DABOU7DALOA14DANAN4DAOUKRO4DIANRA4DIVO14DIGONFLA1DJBONOUA1DUKOU6FERKESSDOUGOU2GAGNOA6GBON5GBONN2GOHITAFLA8GRAND LAHOU5GRAND-BASSAM4GUIBROUA1GUIGLO4HIR1ISSIA2KANAKORO4KARAKORO2KATIOLA3KOMBORODOUGOU3KORHOGO5KOUASSI-DATKR1KOUASSI-KOUASS4KOUN-FAO6KOUTO1LAKOTA7LOGOUAL1M'BAHIAKRO2M'BATTO5MAFR4MAN7MANKONO4MAGUI3NIAKARAMADOUGO4OUANINOU6OUM5OURAGAHIO4PRIKRO5RUBINO1SAIOUA2SAN PDRO4SASSANDRA4SATAMA-SOKORO1SEYDOUGOU2SIKENSI4SINFRA8SINMATIALI2SIRASSO2SOUBR3SGULA9TAI4TANDA6TENGRLA4TIASSAL6TIBISSOU4TIM4TIMLKRO2TININGBOU2TOUMODI5TRANSUA3VAVOUA4YAMOUSSOUKRO5ZIKISSO1ZOUAN-HOUNIEN4ZOUKOUGBEU3Number of sub-prefecture5150124321263444485126247496104114Name of the commune2930ABENGOUROU4ABOBO9ABOISSO4ADJAM7ADZOP4AGBOVILLE4AGNIBILKRO5AKOUP6ANYAMA4ARRAH3ATTECOUB2ATTCOUB2BANGOLO9BINGERVILLE3BOCANDA2BOUAFL4BOUAK28BOUNDIALI2COCODY9DABAKALA1DABOU4DALOA5DAOUKRO4DIVO4DUKOU6FERKESSDOUGOU2GAGNOA6GRAND LAHOU4GRAND-BASSAM4GUIBROUA1GUIGLO4HIR1KATIOLA3KOMBORODOUGOU2KORHOGO2KOUASSI-KOUASSIKRO2KOUMASSI8KOUN-FAO2LAKOTA4LOGOUAL1M'BAHIAKRO2M'BATTO1MAN3MARCORY16OUANINOU4OURAGAHIO4PORT-BOUET4PRIKRO3RUBINO1SAIOUA2SAN PDRO4SEYDOUGOU2SIKENSI4SINFRA3SGULA1TANDA6TIASSAL4TIM4TININGBOU2TREICHVILLE10YAMOUSSOUKRO5YOPOUGON24ZOUKOUGBEU3Number of the commune515019844.66247.402Name of the CILSS cluster5150ABENGOUROU4ABOBO AVOCATIER/PK18 G1ABOBO BAOULE2ABOBO DERRIERE RAILS2ABOBO MATERNIT/FROBEL2ABOKOUMA2ABONGOUA2ABOUD KOUASSIKRO5ADJAM2ADJAM DALLAS1ADJAM RAILS/NORD EST2ADZOP4AGBANIKRO2AGBAOU3AGBOVILLE4AGNIBILKRO2AHOUANOU2AKA AOUSOUKRO2AKAKRO-N'ZIKPRI2AKANZAKRO2AKOUP3ALLUNAMOUENOU2ANONO/ 2 PLATEAUX ENA1ANYAMA4ARRAH3ASSAL KOUASSIKRO2ASSOUBA4ATTCOUB2ATTCOUB CENTRE2ATTHOU6AUTRE ABOBO2AUTRE ADJAM2AUTRE MARCORY3AUTRE TREICHVILLE4BABRASSO3BAH-BLAON3BANGOLO2BEBOU4BELLEVILLE KOZOAN2BIETRY2BINGERVILLE3BLODY1BLOKOSSO/2 PLATEAUX2BOCANDA2BOGOUIN I3BOUAFL4BOUAK AIR FRANCE 1/23BOUAK AIR FRANCE 33BOUAK AIR FRANCE I LF1BOUAK AIR-FRANCE I LF1BOUAK GARE/DAR ES S24BOUAK N'GATTAKRO-KOKO2BOUAK N'GATTAKRO-NIMB3BOUAK SOKOURA5BOUAK ZONE/DAR ES S24BOUNAFLA2BOUNDIALI2BOUSSOU2BRAND-BASSAM1BNIANKR4COCODY CENTRE3CORNICHE-LYCE TECHNIQ3DABAKALA1DABOU2DABOU I2DAGOBOUA3DAKOUEPLEU4DALOA3DALOA CENTRE III2DAM3DAOUKRO4DIENEDIAN4DIHOUIN1DIVO4DOBIA2DOUASSO3DOUEN2DUKOU2EHUIKRO3FERENTELLA4FERKESSDOUGOU2GADOUAN2GAGNOA6GBAMBIASSO2GBOKORA1GODJIBOU4GOHOUO3GOMEZAPLEU2GOUANFLA4GOULALEU4GRAND LAHOU4GRAND-BASSAM3GUIBROUA1GUIGLO4GUINGLO-ZAGNA2HERMANKONO2KAGNAMANKO2KAKUOUA-KIPROUA3KANAKORO4KATADJI4KATIOLA3KOFFI-BADOUKRO2KOGBERA1KORHOGO2KOUAMFLA5KOUMASSI BIDONVILLE2KOUMASSI CENTRE3KOUMASSI SGI/KANKOURA1KOUMASSI SOPIM2LABEGUEKAHA2LAKOTA4LILIYO1LOKOLO4LOPOU1M'BAHIAKRO2M'BATTO1MAMA2MAN3MANTONGOUIN2MARCORY ANOUMABO2MARCORY CHAMPROUX3MARCORY GFCI/VRIDI1MARCORY RSIDENTIEL3MOLONOU4MORONOU2N'BAZO3N'BRAKRO-N'DRANOUAN2N'DAKRO2N'DOUCI2N'GRIBO1NANGOUNKAHA2NATIOKOBADARA2NIAMAYO4NIANGON/SOGEFIHA4NIME BELLEVILLE3NOUVEL OUSROU2NBO3NGUPI4OUEGNINKRO4OUROUTARA2PAKOUABO4PANGBABO2POKOUKRO1PORT BOUET/MARCORY1PORT-BOUET HOPITAL4PORT-BOUET/MARCORY1PRISON/ANDOKOUA2PROSIBLANFLA3RUBINO1SAIOUA2SAKPL2SALEU2SAN PDRO4SATIKAN4SEBAZON1SEBOLO2SEPIKAHA4SEYDOUGOU2SIFI6SIGOUKOU2SODEPALM-BOUBO2SOKOURALA3SOMANA3SONGON-T1SORI BOUAFLA4SGULA1TANDA6TANGULAN1TANHASSO4TAPGUH2TCHONKAHA3TIASSAL2TIGBA1TININGBOU2TOIT ROUGE/KM 183TOIT ROUGE/SOGEFIHA1TOLATANOKRO1TOUKOUZOU1TRAFESSO1TRANSUA1TREICHVILLE COLE RG4TREICHVILLE/BIAFRAIS2YAFFO ATTI2YAMBLGU1YAMOUSSOUKRO5YEREBODI1YOBOU N'DOLIKRO2YOPOUGON ANDONKOUA3YOPOUGON GARE ET CENTR4YOPOUGON LEM/ATTCOUB1YOPOUGON NOUVEAU QUART1YOPOUGON-SELMER2YOPOUGON-SICOGI3ZAGN4ZAGUINASSO1ZEL1ZOUGOUSSOU4ZOUKOUBOU4ZAL4ZGO1BOU4Number of the cluster5150120092.7255.105Year to which the data pertains51501985128198613019871281988129No. of schools in inspectorate5150-110458.45620.494No. of classrooms in inspectora5150-1644310.503101.865No. of teachers in inspectorate5150-1716311.953125.133No. of students in inspectorate5150-13671512588.0724874.201No. of girl students in inspect5150-1171405056.6332471.708No. of students in cm25150-162701765.3421398.432No. of girl students in cm25150-1244034.196207.022NO31101329162.86895.351NAME OF FACILITY3110ABONGOUA DISPENSARY1ABONGOUA MATERNITY1ABOUDE DISPENSARY1ADJAME (INSP)1ADJAME 220 LOGEMENTS MATERNITE1ADJAME MATERNITE1ADJAME PMI1ADJAME-CENTRE (CAT)1ADJAME-CENTRE (SSSU)1ADJAME-EST (SSSU)1ADJAME-NORD (SSSU)1AKOUPE DISPENSARY1AKOUPE MATERNITY1BSR (BASE DE SANTE RURAL) BOUNDIALI1BSR ABENGOUROU1BSR ADZOPE1BSR BOUAFLE1BSR BOUAKE1BSR DABAKALA1BSR DALOA1BSR DIVO1BSR FERKE1BSR GAGNOA1BSR KORHOGO1BSR MAN1BSR SAN PEDRO1BSR SEGUELE1BSR TIASSALE1BSSR YA MOUSSOUKRO1C DE S DE L'ECL DE GNDMRIE D'ABIDA1CABINET ADICEAM (BOUAKE)1CABINET DE PEDIATRIE (2 PLATEAUX)1CABINET DR AMANI1CABINET DU DR KOUAME KANGA1CABINET DU DR MARQUES FRANCIS1CABINET DU DR THIRD SEYDOU BAKARY1CABINET DU VESSOU TOURE/ADJAME1CABINET LA PALMERAIE1CABINET MEDICAL1CABINET MEDICAL ADJAME-NORD1CABINET MEDICAL AGI1CABINET MEDICAL BELLEVUE1CABINET MEDICAL DE KOUMASSI1CABINET MEDICAL DE L'INDENIE1CABINET MEDICAL DR GHANDOUR1CABINET MEDICAL DU VALLON 2 PLATEAUX1CABINET MEDICAL GFCI1CARDIOLOGIE TREICHVILLE1CAT ABENGOUROU1CAT ADZOPE1CAT BOUAKE1CAT DALOA1CAT FERKE1CAT GAGNOA1CAT KORHOGO1CAT MAN1CAT SAN PEDRO1CENTRE DE GYNECOLOGIE DR GNAMAN1CENTRE DE PEDIATRIE, COCODY1CENTRE DE SANTE AU GATL D'ABIDJAN1CENTRE DE SANTE D'ADJAME1CENTRE DE SANTE DE COCODY-NORD1CENTRE MEDICAL BIETRY1CENTRE MEDICAL DE LA BASE NAVALE1CENTRE MEDICAL DES GENS DE MER1CENTRE MEDICAL DU GS PM1CENTRE MEDICAL P ET AC1CENTRE MEDICALE POLYV. DAOUDA1CENTRE PRENATAL ANDRE DUPUY1CENTRE PRENATAL SELMER1CENTRE SANTE BOUAKE KOKO1CENTRE SANTE BOUAKE-AHOUGNANSSOU1CENTRE SANTE BOUAKE-SOKOURALA1CENTRE ZONE M'BAIHAKRO1CENTRE ZONE AGBOVILLE1CENTRE ZONE AGNIBLEKROU1CENTRE ZONE ANYAMA1CENTRE ZONE BANGOLO1CENTRE ZONE BINGERVILLE1CENTRE ZONE BOUNDIALI1CENTRE ZONE DABOU1CENTRE ZONE GAGNOA1CENTRE ZONE GRAND BASSAM1CENTRE ZONE GRAND LAHOU1CENTRE ZONE GUIBEROUA1CENTRE ZONE KATIOLA1CENTRE ZONE KORHOGO1CENTRE ZONE LAKOTA1CHR BOUAKE1CHR D'ABENGOUROU1CHR DE DAOLA1CHR DE DIVO1CHR DE KORHOGO1CHR DE MAN1CHR DE YAMOUSSOUKRO1CHU COCODY1CHU TREICHVILLE1CHU YOPOUGON1CLINIQUE DE DR. KOFFI1CLINIQUE DE L'AMITIE1CLINIQUE DE LA PAIX1CLINIQUE DE MARCORY-EST1CLINIQUE DERRIERE RAIL1CLINIQUE DES JASMINS1CLINIQUE DES ORCHIDEES ABENGOUROU1CLINIQUE FRATERNITE1CLINIQUE IVOIRIENNE TREIUTVILLE1CLINIQUE KENYA1CLINIQUE LA MADONE1CLINIQUE MED-CHURURGICALE DJESSOU1CLINIQUE MEDICALE DE BOUAKE1CLINIQUE MEDICALE, BOUAKE1CLINIQUE SAINT VINCENT DE PAUL1CLINIQUE SAINTE ANTOINE1CLINIQUE SAINTE MARIE1CLINIQUE SAMARITAIN1CLINIQUE TETEGBE1CROIX-BLUE (WILLIAMSVILLE)1CTR DE SANTE DE L'ECOLE DE POLICE1CTR DE STE DE 1ST BATAILLON AKOUEDO1CTR MED DE LA 1ST LEGION D'AGBAN1CTR MED DES ARMEES D'ABIDJAN1DAME DISPENSARY1DAME MATERNITY1DISPENSAIRE1DISPENSAIRE (BOUAKE CATHOLIQUE)1DISPENSAIRE (BOUAKE MONASTERE)1DISPENSAIRE (BOUAKE POUPONNIERE)1DISPENSAIRE (MAISON ARRET) KATIOLA1DISPENSAIRE (MAISON D'ARRET) DE MAN1DISPENSAIRE (MAISON D'ARRET) GAGNOA1DISPENSAIRE (MAISON D'ARRET) KORHOGO1DISPENSAIRE (MAISON D'ARRET) SEGUELA1DISPENSAIRE (MISSION CATH) BOUAFLE1DISPENSAIRE (MISSION CATHOLIQUE) GAGNOA1DISPENSAIRE (NDA) DE BOUAKE1DISPENSAIRE (NDA) FERKE1DISPENSAIRE (NDA) GAGNOA1DISPENSAIRE (POUPONNIERE) DE MAN1DISPENSAIRE (URBAIN) DALOA1DISPENSAIRE (URBAIN) DE BOUAKE1DISPENSAIRE (URBAIN) GAGNOA1DISPENSAIRE ATTIECOUBE2DISPENSAIRE CATHOLIQUE1DISPENSAIRE CATHOLIQUE GUIBEROUA1DISPENSAIRE CATHOLIQUE LAKOTA1DISPENSAIRE DIOULAKRO ABENGOUROU1DISPENSAIRE KOUMASSI1DISPENSAIRE MAISON D'ARRET1DISPENSAIRE MBATTO1DISPENSAIRE MISS CATHOLIQUE D'ADZOPE1DISPENSAIRE MISS. CATHOLIQUE DALOA1DISPENSAIRE MISS. CATHOLIQUE FERKE1DISPENSAIRE MISSION LIBANAISE1DISPENSAIRE NDA DE DIVO1DISPENSAIRE NDOUCI1DISPENSAIRE RURAL BOUNDIALI1DISPENSAIRE RURAL DALOA1DISPENSAIRE RURAL DIVO1DISPENSAIRE RURAL FERKE1DISPENSAIRE RURAL GUIBEROUA1DISPENSAIRE RURAL LAKOTA1DISPENSAIRE SEYBOUGOU1DISPENSAIRE SIFIE1DISPENSAIRE ST. DOMINIQUE SAVIO1DISPENSAIRE TIENINGBOUE1DISPENSAIRE TREICHVILLE1DISPENSAIRE URBAIN ABENGOUROU1DISPENSAIRE URBAIN BOUNDIALI1DISPENSAIRE URBAIN DE MAN1DISPENSAIRE URBAIN DUEKOUE1DISPENSAIRE URBAIN KORHOGO1DISPENSAIRE URBAIN SAN PEDRO1DISPENSARY ANYAMA1DPNS DU PORT AUTONOME ABIDJ (MARINE)1EBOUE DISPENSARY1EBOUE MATERNITY1FERENTELLA DISPENSARY1FORM SANITAIRE ABOBO-NORD1FORMATION SANITAIRE ABOBO DOUME1FORMATION SANITAIRE ABOBO-GARE1FORMATION SANITAIRE URB INT MARCORY1FORMATION SANITAIRE URBAINE INTEGREE2HOPITAL 1 AGBOVILLE1HOPITAL 1 BOUAFLE1HOPITAL 1 BOUNDIALI1HOPITAL 1 GAGNOA1HOPITAL 1 GUIGLO1HOPITAL 1 KATIOLA1HOPITAL 1 SAN PEDRO1HOPITAL 1 SEGUELA1HOPITAL 1 TANDA1HOPITAL 2 ADZOPE1HOPITAL 2 AFFERY-AKOUPE1HOPITAL 2 AGNIBLEKROU1HOPITAL 2 ANYAMA1HOPITAL 2 ARRAH1HOPITAL 2 BANGOLO1HOPITAL 2 BINGERVILLE1HOPITAL 2 BOCANDA1HOPITAL 2 DABAKALA1HOPITAL 2 DABOU1HOPITAL 2 DAOUKRO1HOPITAL 2 DUEKOUE1HOPITAL 2 FERKESSEDOUGOU1HOPITAL 2 GRAND BASSAM1HOPITAL 2 GRAND LAHOU1HOPITAL 2 LAKOTA1HOPITAL 2 M'BAIHAKRO1HOPITAL 2 TIASSALE1HOPITAL PROTESTANT DABOU1INFIRMERIE DE LA CITE DE L'ENFANCE1INFIRMERIE DE LA GPM1INFIRMERIE VILLAGE SOS D'ABOBO1INSTITUT D'HYGENE-TREICHVILLE1INSTITUT ODONTO-STOMATOLOGIE1INSTITUT PASTEUR1INSTITUT RAOUL FOLLEREAU1INSTITUTE GALENIQUE1LA CHAPELLE DE MARCORY1LA MADONE, MARCORY1LOPOU MATERNITY1MATERNITE2MATERNITE (BACASSA) BOUAKE1MATERNITE BIETRY1MATERNITE MBATTO1MATERNITE NDOUCI1MATERNITE SEYBOUGOU1MATERNITE SIFIE1MATERNITE TIENINGBOUE1MORONOU DISPENSARY1N'DAKRO DISPENSARY1N'DAKRO MATERNITY1NEBO DISPENSARY1NOUVELLE OUSROU DISPENSARY1PAKOUABO DISPENSARY1PAKOUABO MATERNITY1PMI1PMI ABENGOUROU1PMI AGBOVILLE1PMI BANGOLO1PMI BOUAFLE1PMI COCODY SUD1PMI DALOA1PMI DAOUKRO1PMI DE MAN1PMI FERKE1PMI GAGNOA1PMI GRAND BASSAM1PMI KORHOGO1PMI LAKOTA1PMI PORT-BOUET1PMI SAN PEDRO1PMI SEGUELA1PMI YA MOUSSOUKRO1POLYCLINIQUE DE CENTRE1POLYCLINIQUE DES DEUX PLATEAUX1POLYCLINIQUE ST ANNE COCODY1PORT BOUET HOPITAL 21PROTECTION MENTALE/PSYCHIATRIE1RUBINO DISPENSARY1SSSU 1 BOUAKE1SSSU 2 BOUAKE1SSSU 3 BOUAKE1SSSU ABENGOUROU1SSSU ABOBO GARE1SSSU ADZOPE1SSSU AGBOVILLE1SSSU BINGERVILLE1SSSU BOUAFLE1SSSU BOUNDIALI1SSSU COCODY1SSSU DABOU1SSSU DALOA1SSSU DIVO1SSSU DUEKOUE1SSSU FERKE1SSSU GAGNOA1SSSU GRAND BASSAM1SSSU GUIGLO1SSSU KATIOLA1SSSU KORHOGO1SSSU KOUMASSI1SSSU MAN1SSSU MARCORY1SSSU PORT-BOUET1SSSU SAN PEDRO1SSSU SEGUELA1SSSU TIASSALE1SSSU YA MOUSSOUKRO1SSSU YOPOUGON1STE POLYCLINIQUE ST JOSEPH1TENGUELAN DISPENSARY1TENGUELAN MATERNITY1TIEGBA DISPENSARY1TOUKOUZOU DISPENSARY1TRANSUA DISPENSARY1TRANSUA MATERNITY1TREICHVILLE (CAT)1TREICHVILLE BSSR1TREICHVILLE MATERNITE1TREICHVILLE PMI (DELAFOSSE)1TREICHVILLE-CENTRE (SSSU)1TREICHVILLE-PONT (SSSU)1ZAGNE DISPENSARY1ZAGNE MATERNITY1ZEALE DISPENSARY1ZEGO DISPENSARY1Type of facility (11 possible types)31101422743294105156177468179111050Public or private31101249262CL13110119972.72758.041CL2145011611212312071231013914816101641171242052123163414358444025761372O351CL3118193211055.83944.63CL4118193815493.45861.206CL572239915885.65361.071CL64926210113101.85727.806CL74926215155114.46934.43CL838273114162155.18412.797CL931280156816323Sysmiss280Number of beds682430862103.735158.313Number of doctors72239023610.54231.497Number of paramedics & nurses6824302952960.693numberof orderlies40271024140.67558.211Availability of Surgery662451yes282no38Sysmiss245Availability of Maternity662451yes432no22111Sysmiss245Availability of pharmacy642471yes222no42Sysmiss247Availability of radiology662451yes182no48Sysmiss245Availability of laboratory652461yes182no47Sysmiss246Availability of pediatrics662451yes282no38Sysmiss245Availability of maternal & child health (PMI)652461yes142no51Sysmiss246Availability of dispensary652461yes102no55Sysmiss246Availability of ophthalmology services652461yes62no59Sysmiss246Year to which the data pertain32279198611987319882419894Sysmiss27950319014212.1618.5850616021739.5833.38450517038693.71756.882502200310112.22755.4975041801094169.67106.744508140800198.54116.037507150988141.96597.431505170530150.362113.024509130757173.592103.935507150706122.46267.99850517032752.99850.20850022021722.36229.9435184031951258.528398.592rain station52201abijan152adiake93adzope154agbovill155agnibile96ayame97bondouko158bongouan99bouake1510dabakala1511daloa1512danane1513daoukro914dimbokro2315divo1516doropo917ferkesse1518gagnoa1519katiola1520korhogo1521lamto922man1523odienne1524san pedr925sassandr1526seguela1527sipilou928tabou929tai930tanda931tengrela932tiassale933touba1534yamousso935guiglo1436boundial1337bouna1438bouafle1439biankoum1140abengour1441aboisso145220742475257625772678267926804281428242834284428542864287428834