DDI_RWA_2011_SDHS_v01_M_WB Development Data Group <_value> NADA Version 01 (August 2017). Metadata is excerpted from "Rwanda Estimating the Size of Populations through a Household Survey 2011" Report. Estimating the Size of Populations through a Household Survey 2011 SDHS 2011 / ESPHS 2011 RWA_2011_SDHS_v01_M Rwanda Biomedical Center/ Institute of HIV/AIDS, Disease Prevention and Control Department (RBC/IHDPC) School of Public Health, University of Rwanda National Institute of Statistics of Rwanda ICF International Centers for Disease Control and Prevention Princeton University University of Florida NADA Government of Rwanda United States Agency for International Development Government of Japan United Nations Programme on HIV/AIDS Information about The DHS Program General Inquiries Data and Data Related Resources Demographic and Health Survey, Special [hh/dhs-sp] The Rwanda pilot survey for "Estimating the Size of Key Populations at Higher Risk of HIV through a Household Survey" (ESPHS) is a national sample survey designed to provide information on hard-to-reach populations such as injecting drug users (IDU), sex workers, etc. A nationally representative sample of 2,125 households was selected in order to generate about 5,000 individual interviews. All household members age 15 and above, who were usual residents of the selected households or who slept in the household the night before the survey were eligible for the survey. The survey was designed to produce a representative estimate of the size of hard-to-reach populations for the country as a whole. The Estimating the Size of Populations through a Household Survey (EPSHS), sought to assess the feasibility of the network scale-up and proxy respondent methods for estimating the sizes of key populations at higher risk of HIV infection and to compare the results to other estimates of the population sizes. The study was undertaken based on the assumption that if these methods proved to be feasible with a reasonable amount of data collection for making adjustments, countries would be able to add this module to their standard household survey to produce size estimates for their key populations at higher risk of HIV infection. This would facilitate better programmatic responses for prevention and caring for people living with HIV and would improve the understanding of how HIV is being transmitted in the country. The specific objectives of the ESPHS were: 1. To assess the feasibility of the network scale-up method for estimating the sizes of key populations at higher risk of HIV infection in a Sub-Saharan African context; 2. To assess the feasibility of the proxy respondent method for estimating the sizes of key populations at higher risk of HIV infection in a Sub-Saharan African context; 3. To estimate the population size of MSM, FSW, IDU, and clients of sex workers in Rwanda at a national level; 4. To compare the estimates of the sizes of key populations at higher risk for HIV produced by the network scale-up and proxy respondent methods with estimates produced using other methods; and 5. To collect data to be used in scientific publications comparing the use of the network scale-up method in different national and cultural environments. Rwanda National - Household - Individual The 2011 Rwanda Estimating the Size of Populations through a Household Survey covered the following topics: HOUSEHOLD • Identification • Household schedule, usual members and visitors in the selected households • Background information on each person listed, such as relationship to head of the household, age, sex, and marital status • Characteristics of the household's dwelling unit, such as the source of drinking water, type of toilet facilities, number of rooms, main material of the floor, roof and walls of the dwelling, and possessions of durable goods (including land). INDIVIDUAL - for the "Basic" definition of "To Know" • Identification • Respondent background • Known population • Summation • Target population • Proxy respondent • Stigma INDIVIDUAL - for the "Meal" definition of "To Know" • Identification • Respondent background • Known population • Summation • Target population • Proxy respondent • Stigma The Estimating the Size of Populations through a Household Survey (ESPHS) used a two-stage sample design, implemented in a representative sample of 2,125 households selected nationwide in which all women and men age 15 years and above where eligible for an individual interview. The sampling frame used was the preparatory frame for the Rwanda Population and Housing Census (RPHC), which was conducted in 2012; it was provided by the National Institute of Statistics of Rwanda (NISR). The sampling frame was a complete list of natural villages covering the whole country (14,837 villages). Two strata were defined: the city of Kigali and the rest of the country. One hundred and thirty Primary Sampling Units (PSU) were selected from the sampling frame (35 in Kigali and 95 in the other stratum). To reduce clustering effect, only 20 households were selected per cluster in Kigali and 15 in the other clusters. As a result, 33 percent of the households in the sample were located in Kigali. The list of households in each cluster was updated upon arrival of the survey team in the cluster. Once the listing had been updated, a number was assigned to each existing household in the cluster. The supervisor then identified the households to be interviewed in the survey by using a table in which the households were randomly pre-selected. This table also provided the list of households pre-selected for each of the two different definitions of what it means "to know" someone. For further details on sample design and implementation, see Appendix A of the final report. Face-to-face [f2f] The Estimating the Size of Populations through a Household Survey (ESPHS) used two types of questionnaires: a household questionnaire and an individual questionnaire. The same individual questionnaire was used to interview both women and men. In addition, two versions of the individual questionnaire were developed, using two different definitions of what it means “to know” someone. Each version of the individual questionnaire was used in half of the selected households. Data collection was conducted from June 2 to August 9, 2011 on a nationally representative sample of 2,125 households. Each of these households was visited to obtain information using the Household Questionnaire. All women and all men age 15 years and above were eligible to be individually interviewed, if they were either usual residents of the household or visitors present in the household on the night before the survey. A total of 4,669 women and men were successfully interviewed. The processing of the ESPHS data began shortly after the fieldwork commenced. Completed questionnaires were returned periodically from the field to the SPH office in Kigali, where they were entered and checked for consistency by data processing personnel who were specially trained for this task. Data were entered using CSPro, a programme specially developed for use in DHS surveys. All data were entered twice (100 percent verification). The concurrent processing of the data was a distinct advantage for data quality, because the School of Public Health had the opportunity to advise field teams of problems detected during data entry. The data entry and editing phase of the survey was completed in late August 2011. A total of 2,125 households were selected in the sample, of which 2,120 were actually occupied at the time of the interview. The number of occupied households successfully interviewed was 2,102, yielding a household response rate of 99 percent. From the households interviewed, 2,629 women were found to be eligible and 2,567 were interviewed, giving a response rate of 98 percent. Interviews with men covered 2,102 of the eligible 2,149 men, yielding a response rate of 98 percent. The response rates do not significantly vary by type of questionnaire or residence. The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made to minimize this type of error during the implementation of the Rwanda ESPHS 2011, non-sampling errors are impossible to avoid and difficult to evaluate statistically. Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the ESPHS 2011 is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results. A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design. If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the ESPHS 2011 sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the ESPHS 2011 is a SAS program. This program uses the Taylor linearization method for variance estimation for survey estimates that are means or proportions. A more detailed description of estimates of sampling errors are presented in Appendix B of the survey report. 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The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted. DATASET ACCESS APPROVAL PROCESS Access to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use. Required Information A dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data. Restricted Datasets A few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request. When The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP. GPS/HIV Datasets/Other Biomarkers Because of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS/HIV/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account. Dataset Terms of Use Once downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy. Download Datasets Datasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a "File Download" prompt will guide you through the remaining steps. 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. QHSEC01 HOUSEHOLD - Household Schedule 8620 12 QHSEC02 HOUSEHOLD - Household Characteristics 2102 38 QHSECOVER HOUSEHOLD - Household Identification 2125 24 QSEC01 INDIVIDUAL - Respondent's Background 4712 45 QSEC02 INDIVIDUAL - Known population 4712 30 QSEC02A INDIVIDUAL - Dead people 3896 6 QSEC03 INDIVIDUAL - Summation 4712 32 QSEC04 INDIVIDUAL - Target population 4712 8 QSEC05 INDIVIDUAL - Proxy respondent( meal version) 2416 74 QSEC05S INDIVIDUAL - Proxy respondent (standard version) 4833 74 QSEC06 INDIVIDUAL - Stigma 4712 22 QSECOVER INDIVIDUAL - Individual Identification 4833 23 Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Date of household interview Date of household interview Date of household interview Date of household interview Date of household interview Day of household interview Day of household interview Day of household interview Day of household interview Day of household interview Month of household interview Month of household interview Month of household interview Month of household interview Month of household interview Year of household interview Year of household interview Year of household interview Year of household interview Year of household interview Interviewer number Interviewer number Interviewer number Interviewer number Interviewer number 99 Missing Questionaire type Questionaire type Questionaire type Questionaire type Questionaire type 1 Standard 2 Meal Result of household interview Result of household interview Result of household interview Result of household interview Result of household interview 1 Completed 2 HH present, no resp 3 HH absent 4 Postponed 5 Refused 9 Other Number of household visits Number of household visits Number of household visits Number of household visits Number of household visits Total members in household Total members in household Total members in household Total members in household Total members in household Eligible women in household Eligible women in household Eligible women in household Eligible women in household Eligible women in household Eligible men in household Eligible men in household Eligible men in household Eligible men in household Eligible men in household Line of household respondent Line of household respondent Line of household respondent Line of household respondent Line of household respondent Supervisor number Supervisor number Supervisor number Supervisor number Supervisor number 99 Missing Data entry clerk Data entry clerk Data entry clerk Data entry clerk Data entry clerk Region Region Region Region Region 1 Kigali City 2 South 3 West 4 North 5 East Date of HH interview (CMC) Date of HH interview (CMC) Date of HH interview (CMC) Date of HH interview (CMC) Date of HH interview (CMC) Household weight (6 decimals) Household weight (6 decimals) Household weight (6 decimals) Household weight (6 decimals) Household weight (6 decimals) Ultimate area selection prob. Ultimate area selection prob. Ultimate area selection prob. Ultimate area selection prob. Ultimate area selection prob. Sampling errors stratum Sampling errors stratum Sampling errors stratum Sampling errors stratum Sampling errors stratum Wealth index factor (5 decimals) Wealth index factor (5 decimals) Wealth index factor (5 decimals) Wealth index factor (5 decimals) Wealth index factor (5 decimals) Wealth index quintile Wealth index quintile Wealth index quintile Wealth index quintile Wealth index quintile 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of member Line number of member Line number of member Line number of member Line number of member Relationship to head Relationship to head Relationship to head Relationship to head Relationship to head 1 Head 2 Wife or husband 3 Son, daughter 4 Son-in-law, daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother, sister 9 Other relative 10 Adopted/foster/stepchild/ 11 Not related 12 Domestic worker 98 DK Sex of household member Sex of household member Sex of household member Sex of household member Sex of household member 1 Male 2 Female Usual resident Usual resident Usual resident Usual resident Usual resident 1 Yes 2 No Slept last night Slept last night Slept last night Slept last night Slept last night 1 Yes 2 No Age of household members Age of household members Age of household members Age of household members Age of household members 95 95+ 98 DK Marital status Marital status Marital status Marital status Marital status 1 Currently married/Living together 2 Divorced/Separated 3 Widowed 4 Never married and never lived together Eligibility for all women age 15+ Eligibility for all women age 15+ Eligibility for all women age 15+ Eligibility for all women age 15+ Eligibility for all women age 15+ Not eligible Eligibility for all men age 15+ Eligibility for all men age 15+ Eligibility for all men age 15+ Eligibility for all men age 15+ Eligibility for all men age 15+ Not eligible Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Source of drinking water Source of drinking water Source of drinking water Source of drinking water Source of drinking water 11 Piped - into dwelling 12 Piped - into yard/plot 13 Piped - public tap / standpipe 21 Tube well or borehole 31 Dug well - protected 32 Dug well - unprotected 41 Spring - protected 42 Spring - unprotected 51 Rainwater 61 Tanker truck 71 Cart with small tank 81 Surface water (river/dam/lake/pond/stream/canal/irrigation channel) 91 Bottled water 96 Other Location of source for water Location of source for water Location of source for water Location of source for water Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility Type of toilet facility 11 Flush - to piped sewer system 12 Flush - to septic tank 13 Flush - to pit latrine 14 Flush - to somewhere else 15 Flush - don't know where 21 Pit latrine - ventilated improved pit (VIP) 22 Pit latrine - with slab 23 Pit latrine - without slab / open pit 31 Composting toilet 41 Bucket toilet 51 Hanging toilet / hanging latrine 61 No facility/bush/field 96 Other Share facilities with other households Share facilities with other households Share facilities with other households Share facilities with other households Share facilities with other households 1 Yes 2 No Electricity Electricity Electricity Electricity Electricity 1 Yes 2 No Radio Radio Radio Radio Radio 1 Yes 2 No Television Television Television Television Television 1 Yes 2 No Mobile telephone Mobile telephone Mobile telephone Mobile telephone Mobile telephone 1 Yes 2 No Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) Telephone (non-mobile) 1 Yes 2 No Refrigerator Refrigerator Refrigerator Refrigerator Refrigerator 1 Yes 2 No Computer Computer Computer Computer Computer Main material of floor Main material of floor Main material of floor Main material of floor Main material of floor 11 Earth, sand 12 Dung 21 Wood planks 22 Palm, bamboo 31 Parquet, polished wood 32 Vinyl, asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main roof material Main roof material Main roof material Main roof material Main roof material 11 No roof 12 Thatch / palm leaf 13 Sod 21 Rustic mat 22 Palm / bamboo 23 Wood planks 24 Cardboard 31 Metal/iron sheet 32 Wood 33 Calamine / cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other Main wall material Main wall material Main wall material Main wall material Main wall material 11 No walls 12 Cane / palm / trunks 13 Dirt 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 27 Tree (not bamboo) with mud 31 Cement 32 Stone with lime / cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks / shingles 96 Other Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Number of rooms used for sleeping Watch Watch Watch Watch Watch 1 Yes 2 No Bicycle Bicycle Bicycle Bicycle Bicycle 1 Yes 2 No Motorcycle or Scooter Motorcycle or Scooter Motorcycle or Scooter Motorcycle or Scooter Motorcycle or Scooter 1 Yes 2 No Animal-drawn cart Animal-drawn cart Animal-drawn cart Animal-drawn cart Animal-drawn cart Car or Truck Car or Truck Car or Truck Car or Truck Car or Truck 1 Yes 2 No A boat without a motor A boat without a motor A boat without a motor A boat without a motor A boat without a motor 1 Yes 2 No A boat with a motor A boat with a motor A boat with a motor A boat with a motor A boat with a motor 1 Yes 2 No Own land usable for agriculture Own land usable for agriculture Own land usable for agriculture Own land usable for agriculture Own land usable for agriculture 1 Yes 2 No Hectares for agricultural land Hectares for agricultural land Hectares for agricultural land Hectares for agricultural land Hectares for agricultural land 95 More than 95 Livestock, herds or farm animals Livestock, herds or farm animals Livestock, herds or farm animals Livestock, herds or farm animals Livestock, herds or farm animals 1 Yes 2 No Cows (traditional) Cows (traditional) Cows (traditional) Cows (traditional) Cows (traditional) None 95 More than 95 98 Unknown Milk cows (modern) Milk cows (modern) Milk cows (modern) Milk cows (modern) Milk cows (modern) None 95 More than 95 98 Unknown Bulls Bulls Bulls Bulls Bulls None 95 More than 95 98 Unknown Goats Goats Goats Goats Goats None 95 More than 95 98 Unknown Sheep Sheep Sheep Sheep Sheep None 95 More than 95 98 Unknown Chickens Chickens Chickens Chickens Chickens None 95 More than 95 98 Unknown Pigs Pigs Pigs Pigs Pigs None 95 More than 95 98 Unknown Rabbits Rabbits Rabbits Rabbits Rabbits None 95 More than 95 98 Unknown Horses, donkeys or mules Horses, donkeys or mules Horses, donkeys or mules Horses, donkeys or mules Horses, donkeys or mules None 95 More than 95 98 Unknown Bank account Bank account Bank account Bank account Bank account 1 Yes 2 No Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Type of questionnaire Type of questionnaire Type of questionnaire Type of questionnaire Type of questionnaire 1 Standard 2 Meal Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Sex of respondent Sex of respondent Sex of respondent Sex of respondent Sex of respondent 1 Male 2 Female Date of interview Date of interview Date of interview Date of interview Date of interview Day of interview Day of interview Day of interview Day of interview Day of interview Month of interview Month of interview Month of interview Month of interview Month of interview Year of interview Year of interview Year of interview Year of interview Year of interview Interviewer number Interviewer number Interviewer number Interviewer number Interviewer number 99 Missing Result of individual interview Result of individual interview Result of individual interview Result of individual interview Result of individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partly completed 6 Incapacitated 7 Other Total number of visits Total number of visits Total number of visits Total number of visits Total number of visits Language of interview Language of interview Language of interview Language of interview Language of interview 1 Kinyarwanda 6 Other Translator used Translator used Translator used Translator used Translator used 1 Yes 2 No Supervisor number Supervisor number Supervisor number Supervisor number Supervisor number 99 Missing Data entry clerk Data entry clerk Data entry clerk Data entry clerk Data entry clerk Line number of parent or other respondent adult Line number of parent or other respondent adult Line number of parent or other respondent adult Line number of parent or other respondent adult Line number of parent or other respondent adult Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Date of interview (CMC) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Sample weight (6 decimals) Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Start of interivew Start of interivew Start of interivew Start of interivew Start of interivew Start of interview (hour) Start of interview (hour) Start of interview (hour) Start of interview (hour) Start of interview (hour) 97 Inconsistent Start of interview (minutes) Start of interview (minutes) Start of interview (minutes) Start of interview (minutes) Start of interview (minutes) 97 Inconsistent Date of birth Date of birth Date of birth Date of birth Date of birth Month of birth Month of birth Month of birth Month of birth Month of birth 97 Inconsistent 98 DK month Year of birth Year of birth Year of birth Year of birth Year of birth 9997 Inconsistent 9998 DK year Current age of respondent Current age of respondent Current age of respondent Current age of respondent Current age of respondent 97 Inconsistent 98 DK Ever attended school Ever attended school Ever attended school Ever attended school Ever attended school 1 Yes 2 No Highest educational level Highest educational level Highest educational level Highest educational level Highest educational level 1 Primary 2 Post-primary/vocational 3 Secondary 4 Tertiary 5 Pre-primary Highest grade at that level Highest grade at that level Highest grade at that level Highest grade at that level Highest grade at that level Reads newspaper Reads newspaper Reads newspaper Reads newspaper Reads newspaper 1 At least once a week 2 Less than once a week 3 Not at all Listens to radio Listens to radio Listens to radio Listens to radio Listens to radio 1 At least once a week 2 Less than once a week 3 Not at all Watches television Watches television Watches television Watches television Watches television 1 At least once a week 2 Less than once a week 3 Not at all Religion Religion Religion Religion Religion 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Traditional 6 Other 7 No religion Number of trips in last 12 months Number of trips in last 12 months Number of trips in last 12 months Number of trips in last 12 months Number of trips in last 12 months None Away for more than one month in last 12 months Away for more than one month in last 12 months Away for more than one month in last 12 months Away for more than one month in last 12 months Away for more than one month in last 12 months 1 Yes 2 No birth in the last 12 months birth in the last 12 months birth in the last 12 months birth in the last 12 months birth in the last 12 months 1 Yes 2 No Currently in union Currently in union Currently in union Currently in union Currently in union 1 Currently married 2 Living with a man 3 Not in union Have ever been married or lived with a man Have ever been married or lived with a man Have ever been married or lived with a man Have ever been married or lived with a man Have ever been married or lived with a man 1 Formerly married 2 Lived with a man 3 No Current marital status Current marital status Current marital status Current marital status Current marital status 1 Widowed 2 Divorced 3 Separated Currently smokes cigarettes Currently smokes cigarettes Currently smokes cigarettes Currently smokes cigarettes Currently smokes cigarettes 1 Yes 2 No Ever heard of AIDS Ever heard of AIDS Ever heard of AIDS Ever heard of AIDS Ever heard of AIDS 1 Yes 2 No Reduce chances of AIDS by having just one uninfected sex partner Reduce chances of AIDS by having just one uninfected sex partner Reduce chances of AIDS by having just one uninfected sex partner Reduce chances of AIDS by having just one uninfected sex partner Reduce chances of AIDS by having just one uninfected sex partner 1 Yes 2 No 8 Don't know Can get AIDS from mosquito bites Can get AIDS from mosquito bites Can get AIDS from mosquito bites Can get AIDS from mosquito bites Can get AIDS from mosquito bites 1 Yes 2 No 8 Don't know Reduce chances of AIDS by using condom Reduce chances of AIDS by using condom Reduce chances of AIDS by using condom Reduce chances of AIDS by using condom Reduce chances of AIDS by using condom 1 Yes 2 No 8 Don't know Can get AIDS by sharing food Can get AIDS by sharing food Can get AIDS by sharing food Can get AIDS by sharing food Can get AIDS by sharing food 1 Yes 2 No 8 Don't know Can get AIDS by witchcraft or supernatural means Can get AIDS by witchcraft or supernatural means Can get AIDS by witchcraft or supernatural means Can get AIDS by witchcraft or supernatural means Can get AIDS by witchcraft or supernatural means 1 Yes 2 No 8 Don't know Can a healthy-looking person have AIDS Can a healthy-looking person have AIDS Can a healthy-looking person have AIDS Can a healthy-looking person have AIDS Can a healthy-looking person have AIDS 1 Yes 2 No 8 Don't know AIDS virus transmitted mother to child: during pregnancy AIDS virus transmitted mother to child: during pregnancy AIDS virus transmitted mother to child: during pregnancy AIDS virus transmitted mother to child: during pregnancy AIDS virus transmitted mother to child: during pregnancy 1 Yes 2 No 8 Don't know AIDS virus transmitted mother to child: during delivery AIDS virus transmitted mother to child: during delivery AIDS virus transmitted mother to child: during delivery AIDS virus transmitted mother to child: during delivery AIDS virus transmitted mother to child: during delivery 1 Yes 2 No 8 Don't know AIDS virus transmitted mother to child: by breastfeeding AIDS virus transmitted mother to child: by breastfeeding AIDS virus transmitted mother to child: by breastfeeding AIDS virus transmitted mother to child: by breastfeeding AIDS virus transmitted mother to child: by breastfeeding 1 Yes 2 No 8 Don't know Can get HIV by sitting next to people with AIDS Can get HIV by sitting next to people with AIDS Can get HIV by sitting next to people with AIDS Can get HIV by sitting next to people with AIDS Can get HIV by sitting next to people with AIDS 1 Yes 2 No 8 Don't know Ever been tested for AIDS virus Ever been tested for AIDS virus Ever been tested for AIDS virus Ever been tested for AIDS virus Ever been tested for AIDS virus 1 Yes 2 No Would buy vegetables from vendor with AIDS Would buy vegetables from vendor with AIDS Would buy vegetables from vendor with AIDS Would buy vegetables from vendor with AIDS Would buy vegetables from vendor with AIDS 1 Yes 2 No 8 Don't know AIDS infected family member kept secret AIDS infected family member kept secret AIDS infected family member kept secret AIDS infected family member kept secret AIDS infected family member kept secret 1 Yes, remains a secret 2 No 8 Don't know, not sure, depends Willing to care for AIDS infected relative in household Willing to care for AIDS infected relative in household Willing to care for AIDS infected relative in household Willing to care for AIDS infected relative in household Willing to care for AIDS infected relative in household 1 Yes 2 No 8 Don't know, not sure, depends Female teacher with AIDS virus allowed to continue teaching Female teacher with AIDS virus allowed to continue teaching Female teacher with AIDS virus allowed to continue teaching Female teacher with AIDS virus allowed to continue teaching Female teacher with AIDS virus allowed to continue teaching 1 Should be allowed 2 Should not be allowed 8 Don't know, not sure, depends Know someone with or supected to have AIDS Know someone with or supected to have AIDS Know someone with or supected to have AIDS Know someone with or supected to have AIDS Know someone with or supected to have AIDS 1 Yes 2 No Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date of birth (CMC) Date flag for Q102C Date flag for Q102C Date flag for Q102C Date flag for Q102C Date flag for Q102C 1 Month and year 2 Month and age -y imp 3 Year and age - m imp 4 Y & age - y ignored 5 Year - a, m imp 6 Age - y, m imp 7 Month - a, y imp 8 None - all imp Age of respondent calculated Age of respondent calculated Age of respondent calculated Age of respondent calculated Age of respondent calculated Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Men who has wife died but has not remarried Men who has wife died but has not remarried Men who has wife died but has not remarried Men who has wife died but has not remarried Men who has wife died but has not remarried Don't know any 95 95 or more than 95 Nurses/doctors Nurses/doctors Nurses/doctors Nurses/doctors Nurses/doctors Don't know any 95 95 or more than 95 Male community health workers Male community health workers Male community health workers Male community health workers Male community health workers Don't know any 95 95 or more than 95 Primary or secondary teachers Primary or secondary teachers Primary or secondary teachers Primary or secondary teachers Primary or secondary teachers Don't know any 95 95 or more than 95 Women currently smoking pipe or cigarettes Women currently smoking pipe or cigarettes Women currently smoking pipe or cigarettes Women currently smoking pipe or cigarettes Women currently smoking pipe or cigarettes Don't know any 95 95 or more than 95 Catholic priests Catholic priests Catholic priests Catholic priests Catholic priests Don't know any 95 95 or more than 95 Civil servants Civil servants Civil servants Civil servants Civil servants Don't know any 95 95 or more than 95 Women who gave birth Women who gave birth Women who gave birth Women who gave birth Women who gave birth Don't know any 95 95 or more than 95 Muslims Muslims Muslims Muslims Muslims Don't know any 95 95 or more than 95 People incarcerated People incarcerated People incarcerated People incarcerated People incarcerated Don't know any 95 95 or more than 95 Gacaca judges Gacaca judges Gacaca judges Gacaca judges Gacaca judges Don't know any 95 95 or more than 95 Men divorced or separated but not remarried Men divorced or separated but not remarried Men divorced or separated but not remarried Men divorced or separated but not remarried Men divorced or separated but not remarried Don't know any 95 95 or more than 95 People treated for TB People treated for TB People treated for TB People treated for TB People treated for TB Don't know any 95 95 or more than 95 People named Nsengimana People named Nsengimana People named Nsengimana People named Nsengimana People named Nsengimana Don't know any 95 95 or more than 95 People named Murekekatete People named Murekekatete People named Murekekatete People named Murekekatete People named Murekekatete Don't know any 95 95 or more than 95 People named Twahirwa People named Twahirwa People named Twahirwa People named Twahirwa People named Twahirwa Don't know any 95 95 or more than 95 People named Mukandekezi People named Mukandekezi People named Mukandekezi People named Mukandekezi People named Mukandekezi Don't know any 95 95 or more than 95 People named Nsabimana People named Nsabimana People named Nsabimana People named Nsabimana People named Nsabimana Don't know any 95 95 or more than 95 People named Mukamana People named Mukamana People named Mukamana People named Mukamana People named Mukamana Don't know any 95 95 or more than 95 People named Ndayambaje People named Ndayambaje People named Ndayambaje People named Ndayambaje People named Ndayambaje Don't know any 95 95 or more than 95 People named Nyiraneza People named Nyiraneza People named Nyiraneza People named Nyiraneza People named Nyiraneza Don't know any 95 95 or more than 95 People named Bizimana People named Bizimana People named Bizimana People named Bizimana People named Bizimana Don't know any 95 95 or more than 95 People named Nyirahabimana People named Nyirahabimana People named Nyirahabimana People named Nyirahabimana People named Nyirahabimana Don't know any 95 95 or more than 95 People named Ndagijimana People named Ndagijimana People named Ndagijimana People named Ndagijimana People named Ndagijimana Don't know any 95 95 or more than 95 People named Mukandayisenga People named Mukandayisenga People named Mukandayisenga People named Mukandayisenga People named Mukandayisenga Don't know any 95 95 or more than 95 Number of dead people Number of dead people Number of dead people Number of dead people Number of dead people None 95 95 or more than 95 Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Gender of the death Gender of the death Gender of the death Gender of the death Gender of the death 1 Male 2 Female Age of the death Age of the death Age of the death Age of the death Age of the death 95 95 or more than 95 Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent People from close family People from close family People from close family People from close family People from close family Don't know any 95 95 or more than 95 People from extended family People from extended family People from extended family People from extended family People from extended family Don't know any 95 95 or more than 95 People from in-law family People from in-law family People from in-law family People from in-law family People from in-law family Don't know any 95 95 or more than 95 Best friends Best friends Best friends Best friends Best friends Don't know any 95 95 or more than 95 Ordinary friends Ordinary friends Ordinary friends Ordinary friends Ordinary friends Don't know any 95 95 or more than 95 Sport mates Sport mates Sport mates Sport mates Sport mates Don't know any 95 95 or more than 95 People with shared hardship People with shared hardship People with shared hardship People with shared hardship People with shared hardship Don't know any 95 95 or more than 95 Church members Church members Church members Church members Church members Don't know any 95 95 or more than 95 Neighbors Neighbors Neighbors Neighbors Neighbors Don't know any 95 95 or more than 95 People doing communal work People doing communal work People doing communal work People doing communal work People doing communal work Don't know any 95 95 or more than 95 People met at weddings or parties People met at weddings or parties People met at weddings or parties People met at weddings or parties People met at weddings or parties Don't know any 95 95 or more than 95 People sharing taxis or bus People sharing taxis or bus People sharing taxis or bus People sharing taxis or bus People sharing taxis or bus Don't know any 95 95 or more than 95 Coworker Coworker Coworker Coworker Coworker Don't know any 95 95 or more than 95 Former workers Former workers Former workers Former workers Former workers Don't know any 95 95 or more than 95 Training providers Training providers Training providers Training providers Training providers Don't know any 95 95 or more than 95 Training mates Training mates Training mates Training mates Training mates Don't know any 95 95 or more than 95 People from non-family meetings People from non-family meetings People from non-family meetings People from non-family meetings People from non-family meetings Don't know any 95 95 or more than 95 Classmates Classmates Classmates Classmates Classmates Don't know any 95 95 or more than 95 Former teachers Former teachers Former teachers Former teachers Former teachers Don't know any 95 95 or more than 95 Medical provider Medical provider Medical provider Medical provider Medical provider Don't know any 95 95 or more than 95 Service provider Service provider Service provider Service provider Service provider Don't know any 95 95 or more than 95 Benefactors Benefactors Benefactors Benefactors Benefactors Don't know any 95 95 or more than 95 People aided People aided People aided People aided People aided Don't know any 95 95 or more than 95 Market acquaintances Market acquaintances Market acquaintances Market acquaintances Market acquaintances Don't know any 95 95 or more than 95 Business people Business people Business people Business people Business people Don't know any 95 95 or more than 95 Cooperatives Cooperatives Cooperatives Cooperatives Cooperatives Don't know any 95 95 or more than 95 Army and police Army and police Army and police Army and police Army and police Don't know any 95 95 or more than 95 Leaders Leaders Leaders Leaders Leaders Don't know any 95 95 or more than 95 Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Female sex workers Female sex workers Female sex workers Female sex workers Female sex workers Don't know any 95 95 or more than 95 Men having sex with men Men having sex with men Men having sex with men Men having sex with men Men having sex with men Don't know any 95 95 or more than 95 Drug users Drug users Drug users Drug users Drug users Don't know any 95 95 or more than 95 Clients of sex workers Clients of sex workers Clients of sex workers Clients of sex workers Clients of sex workers Don't know any 95 95 or more than 95 Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards 1 Yes 2 No Knowing one man or more Knowing one man or more Knowing one man or more Knowing one man or more Knowing one man or more 1 Only one man 2 More than one man Man younger than 25 Man younger than 25 Man younger than 25 Man younger than 25 Man younger than 25 1 Yes 2 No Man live in Kigali Man live in Kigali Man live in Kigali Man live in Kigali Man live in Kigali 1 Yes 2 No Man married Man married Man married Man married Man married 1 Yes 2 No Man being a smoker Man being a smoker Man being a smoker Man being a smoker Man being a smoker 1 Yes 2 No Man having sex with men ever Man having sex with men ever Man having sex with men ever Man having sex with men ever Man having sex with men ever 1 Yes 2 No 8 Don't know Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever 1 Yes 2 No 8 Don't know Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever 1 Yes 2 No 8 Don't know Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever 1 Yes 2 No 8 Don't know Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 1 Yes 2 No The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali 1 Yes 2 No The best known man married The best known man married The best known man married The best known man married The best known man married 1 Yes 2 No The best known man being a smoker The best known man being a smoker The best known man being a smoker The best known man being a smoker The best known man being a smoker 1 Yes 2 No The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever 1 Yes 2 No 8 Don't know The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever 1 Yes 2 No 8 Don't know The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever 1 Yes 2 No 8 Don't know The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever 1 Yes 2 No 8 Don't know The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months 1 Yes 2 No 8 Don't know The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 1 Yes 2 No The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali 1 Yes 2 No The second best known man married The second best known man married The second best known man married The second best known man married The second best known man married 1 Yes 2 No The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker 1 Yes 2 No The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever 1 Yes 2 No 8 Don't know The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever 1 Yes 2 No 8 Don't know The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever 1 Yes 2 No 8 Don't know The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever 1 Yes 2 No 8 Don't know The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards 1 Yes 2 No Knowing one woman or more Knowing one woman or more Knowing one woman or more Knowing one woman or more Knowing one woman or more 1 Only one woman 2 More than one woman Woman younger than 25 Woman younger than 25 Woman younger than 25 Woman younger than 25 Woman younger than 25 1 Yes 2 No Woman live in Kigali Woman live in Kigali Woman live in Kigali Woman live in Kigali Woman live in Kigali 1 Yes 2 No Woman married Woman married Woman married Woman married Woman married 1 Yes 2 No Woman being a smoker Woman being a smoker Woman being a smoker Woman being a smoker Woman being a smoker 1 Yes 2 No Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever 1 Yes 2 No 8 Don't know Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever 1 Yes 2 No 8 Don't know Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever 1 Yes 2 No 8 Don't know Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 1 Yes 2 No The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali 1 Yes 2 No The best known woman married The best known woman married The best known woman married The best known woman married The best known woman married 1 Yes 2 No The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker 1 Yes 2 No The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever 1 Yes 2 No 8 Don't know The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever 1 Yes 2 No 8 Don't know The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever 1 Yes 2 No 8 Don't know The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 1 Yes 2 No The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali 1 Yes 2 No The second best known woman married The second best known woman married The second best known woman married The second best known woman married The second best known woman married 1 Yes 2 No The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker 1 Yes 2 No The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever 1 Yes 2 No 8 Don't know The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever 1 Yes 2 No 8 Don't know The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever 1 Yes 2 No 8 Don't know The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months 1 Yes 2 No 8 Don't know Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards Knowing any woman with the name on the cards 1 Yes 2 No Knowing one woman or more Knowing one woman or more Knowing one woman or more Knowing one woman or more Knowing one woman or more 1 Only one woman 2 More than one woman Woman younger than 25 Woman younger than 25 Woman younger than 25 Woman younger than 25 Woman younger than 25 1 Yes 2 No Woman live in Kigali Woman live in Kigali Woman live in Kigali Woman live in Kigali Woman live in Kigali 1 Yes 2 No Woman married Woman married Woman married Woman married Woman married 1 Yes 2 No Woman being a smoker Woman being a smoker Woman being a smoker Woman being a smoker Woman being a smoker 1 Yes 2 No Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever Woman buying sex from men ever 1 Yes 2 No 8 Don't know Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months Woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever Woman selling sex to other ever 1 Yes 2 No 8 Don't know Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months Woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever Woman injecting drugs ever 1 Yes 2 No 8 Don't know Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months Woman injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 The best known woman younger than 25 1 Yes 2 No The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali The best known woman living in Kigali 1 Yes 2 No The best known woman married The best known woman married The best known woman married The best known woman married The best known woman married 1 Yes 2 No The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker The best known woman being a smoker 1 Yes 2 No The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever The best known woman buying sex from men ever 1 Yes 2 No 8 Don't know The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months The best known woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever The best known woman selling sex to other ever 1 Yes 2 No 8 Don't know The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months The best known woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever The best known woman injecting drugs ever 1 Yes 2 No 8 Don't know The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months The best known woman injecting in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 The second best known woman younger than 25 1 Yes 2 No The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali The second best known woman living in Kigali 1 Yes 2 No The second best known woman married The second best known woman married The second best known woman married The second best known woman married The second best known woman married 1 Yes 2 No The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker The second best known woman being a smoker 1 Yes 2 No The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever The second best known woman buying sex from men ever 1 Yes 2 No 8 Don't know The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months The second best known woman buying sex from men in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever The second best known woman selling sex to other ever 1 Yes 2 No 8 Don't know The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months The second best known woman selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever The second best known woman injecting drugs ever 1 Yes 2 No 8 Don't know The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months The second best known woman injecting in the past 12 months 1 Yes 2 No 8 Don't know Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards Knowing any man with the name on the cards 1 Yes 2 No Knowing one man or more Knowing one man or more Knowing one man or more Knowing one man or more Knowing one man or more 1 Only one man 2 More than one man Man younger than 25 Man younger than 25 Man younger than 25 Man younger than 25 Man younger than 25 1 Yes 2 No Man live in Kigali Man live in Kigali Man live in Kigali Man live in Kigali Man live in Kigali 1 Yes 2 No Man married Man married Man married Man married Man married 1 Yes 2 No Man being a smoker Man being a smoker Man being a smoker Man being a smoker Man being a smoker 1 Yes 2 No Man having sex with men ever Man having sex with men ever Man having sex with men ever Man having sex with men ever Man having sex with men ever 1 Yes 2 No 8 Don't know Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months Man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever Man buying sex from women ever 1 Yes 2 No 8 Don't know Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months Man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever Man selling sex to other ever 1 Yes 2 No 8 Don't know Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months Man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever Man injecting drugs ever 1 Yes 2 No 8 Don't know Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months Man injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 The best known man younger than 25 1 Yes 2 No The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali The best known man living in Kigali 1 Yes 2 No The best known man married The best known man married The best known man married The best known man married The best known man married 1 Yes 2 No The best known man being a smoker The best known man being a smoker The best known man being a smoker The best known man being a smoker The best known man being a smoker 1 Yes 2 No The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever The best known man having sex with men ever 1 Yes 2 No 8 Don't know The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months The best known man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever The best known man buying sex from women ever 1 Yes 2 No 8 Don't know The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months The best known man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever The best known man selling sex to other ever 1 Yes 2 No 8 Don't know The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months The best known man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever The best known man injecting drugs ever 1 Yes 2 No 8 Don't know The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months The best known man injecting in the past 12 months 1 Yes 2 No 8 Don't know The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 The second best known man younger than 25 1 Yes 2 No The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali The second best known man living in Kigali 1 Yes 2 No The second best known man married The second best known man married The second best known man married The second best known man married The second best known man married 1 Yes 2 No The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker The second best known man being a smoker 1 Yes 2 No The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever The second best known man having sex with men ever 1 Yes 2 No 8 Don't know The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months The second best known man having sex with men in the past 12 months 1 Yes 2 No 8 Don't know The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever The second best known man buying sex from women ever 1 Yes 2 No 8 Don't know The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months The second best known man buying sex from women in the past 12 months 1 Yes 2 No 8 Don't know The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever The second best known man selling sex to other ever 1 Yes 2 No 8 Don't know The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months The second best known man selling sex to other in the past 12 months 1 Yes 2 No 8 Don't know The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever The second best known man injecting drugs ever 1 Yes 2 No 8 Don't know The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months The second best known man injecting drugs in the past 12 months 1 Yes 2 No 8 Don't know Cluster number Cluster number Cluster number Cluster number Cluster number Household structure number Household structure number Household structure number Household structure number Household structure number Household number Household number Household number Household number Household number Line number of respondent Line number of respondent Line number of respondent Line number of respondent Line number of respondent Being a doctor or nurse Being a doctor or nurse Being a doctor or nurse Being a doctor or nurse Being a doctor or nurse 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Being a civil servant Being a civil servant Being a civil servant Being a civil servant Being a civil servant 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Being incarcerated Being incarcerated Being incarcerated Being incarcerated Being incarcerated 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Injectable drug users Injectable drug users Injectable drug users Injectable drug users Injectable drug users 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Men having sex with men Men having sex with men Men having sex with men Men having sex with men Men having sex with men 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Men paying for sex Men paying for sex Men paying for sex Men paying for sex Men paying for sex 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed Women selling sex Women selling sex Women selling sex Women selling sex Women selling sex 1 Not ashamed at all 2 Somewhat ashamed 3 Very ashamed People hesitant to take an HIV test People hesitant to take an HIV test People hesitant to take an HIV test People hesitant to take an HIV test People hesitant to take an HIV test 1 Yes 2 No 8 DK/Not sure Talk badly about people having ( or thought to have ) HIV Talk badly about people having ( or thought to have ) HIV Talk badly about people having ( or thought to have ) HIV Talk badly about people having ( or thought to have ) HIV Talk badly about people having ( or thought to have ) HIV 1 Yes 2 No 3 It depends 8 DK/Not sure People having (or thought to have) HIV lose respect or standing People having (or thought to have) HIV lose respect or standing People having (or thought to have) HIV lose respect or standing People having (or thought to have) HIV lose respect or standing People having (or thought to have) HIV lose respect or standing 1 Yes 2 No 3 It depends 8 DK/Not sure Fear of contracting HIV with the saliva of a person having HIV Fear of contracting HIV with the saliva of a person having HIV Fear of contracting HIV with the saliva of a person having HIV Fear of contracting HIV with the saliva of a person having HIV Fear of contracting HIV with the saliva of a person having HIV 1 Yes 2 No 3 It depends 8 DK/Not sure Fear of contracting HIV with the sweat of a person having HIV Fear of contracting HIV with the sweat of a person having HIV Fear of contracting HIV with the sweat of a person having HIV Fear of contracting HIV with the sweat of a person having HIV Fear of contracting HIV with the sweat of a person having HIV 1 Yes 2 No 3 It depends 8 DK/Not sure People having HIV are ashamed of themselves because of HIV People having HIV are ashamed of themselves because of HIV People having HIV are ashamed of themselves because of HIV People having HIV are ashamed of themselves because of HIV People having HIV are ashamed of themselves because of HIV 1 Agree 2 Disagree 8 DK/No opinion I would be ashamed if someone in my family had HIV I would be ashamed if someone in my family had HIV I would be ashamed if someone in my family had HIV I would be ashamed if someone in my family had HIV I would be ashamed if someone in my family had HIV 1 Agree 2 Disagree 8 DK/No opinion Children with HIV should be able to attend school Children with HIV should be able to attend school Children with HIV should be able to attend school Children with HIV should be able to attend school Children with HIV should be able to attend school 1 Yes 2 No 3 It depends 8 DK/Not sure End of interview End of interview End of interview End of interview End of interview End of interview (hour) End of interview (hour) End of interview (hour) End of interview (hour) End of interview (hour) 97 Inconsistent End of interview (minutes) End of interview (minutes) End of interview (minutes) End of interview (minutes) End of interview (minutes) 97 Inconsistent