RWA_2013_MIS_v01_M DDI_RWA_2017_MIS_v01_M Development Data Group 2018-09-12 Nesstar Publisher Version 01 (September 2018) Malaria Indicator Survey 2017 RWA_2017_MIS_v01_M Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center ICF Nesstar Publisher Government of Rwanda United States President’s Malaria Initiative Global Fund United States Agency for International Development Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey The 2017 Rwanda Malaria Indicator Survey (RMIS) is the second survey of its kind in Rwanda. It is a nationwide survey with a nationally representative sample of approximately 5,041 households. The survey provides information on key malaria control indictors, such as the proportion of households having at least one bed net and at least one insecticide-treated net (ITN). The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com). Rwanda National coverage Sample survey data [ssd] Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center Face-to-face [f2f] Data was primarily collected using three questionnaires: the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire. Core questionnaires available from the RBM-MERG were adapted to reflect the population and health issues relevant to Rwanda. Data entry began on November 1, 2017, 2 weeks after the survey launched in the field. Data were entered by a team of eight data processing personnel recruited and trained for this task. They were assisted during these operations by two staff members who aided in questionnaire reception, data verification, and coding. Completed questionnaires were periodically brought in from the field to the MOPDD headquarters, where assigned agents checked them and coded the open-ended questions. Next, the questionnaires were sent to the data entry facility and the blood samples (blood smear slides) were sent to the lab to be read for the malaria parasites. Data were entered using CSPro, a program developed jointly by the United States Census Bureau, the ORC Macro MEASURE DHS+ program, and Serpro S.A. Processing the data concurrent with data collection allowed for regular monitoring of teams’ performance and data quality. Field check tables were regularly generated during data processing to check various data quality parameters. As a result, feedback was given on a regular basis, encouraging teams to continue quality work and to correct areas in need of improvement. Feedback was individually tailored to each team. Data entry, which included 100% double entry to minimize keying error, was completed on December 31, 2017. Data editing, was completed on January 26, 2018. Data cleaning and finalization was completed on February 9, 2018. A total of 5,096 households selected for the sample, 5,061 were occupied at the time of fieldwork. Among the occupied households, 5,041 were successfully interviewed, yielding a total household response rate of 99.6%. In the interviewed households, 5,088 women were identified as eligible for individual interview, and 5,022 were successfully interviewed, yielding a response rate of 98.7%. The DHS Program 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. RECH0.NSDstat 5096 51 Nesstar 200801 RECH1.NSDstat 20011 15 Nesstar 200801 RECH2.NSDstat 5041 66 Nesstar 200801 RECH3.NSDstat 5096 70 Nesstar 200801 RECHML.NSDstat 9683 28 Nesstar 200801 RECHMH.NSDstat 20011 39 Nesstar 200801 REC01.NSDstat 5088 39 Nesstar 200801 REC11.NSDstat 5022 43 Nesstar 200801 REC21.NSDstat 3384 23 Nesstar 200801 REC22.NSDstat 5022 23 Nesstar 200801 REC41.NSDstat 2257 27 Nesstar 200801 REC42.NSDstat 5022 7 Nesstar 200801 REC4A.NSDstat 2946 34 Nesstar 200801 REC81.NSDstat 5022 15 Nesstar 200801 RECML.NSDstat 2946 69 Nesstar 200801 REC91.NSDstat 5088 71 Nesstar 200801 FWRECORD.NSDstat Fieldworker data 60 34 Nesstar 200801 Case Identification Country code and phase Cluster number Household number Respondent's line number (answering Household questionnaire) 0 Incomplete household Ultimate area unit Household sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) Date of interview Century Day Code (CDC) Number of household members Number of eligible women in household NA - Number of eligible men in household Number of de jure members Number of de facto members Number of children 5 and under (de jure) Result of household interview 1 Completed 2 No Household member/no competent member at home 3 Entire Household absent for extended period of time 4 Postponed 5 Refused 6 Dwelling vacant or address not a dwelling 7 Dwelling destroyed 8 Dwelling not found 9 Other Day of interview Number of visits Interviewer identification Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Stratification used in sample design 1 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Region 1 Kigali city 2 South 3 West 4 North 5 East Type of place of residence 1 Urban 2 Rural NA - Place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Household selected for male interview 0 Not selected 1 Men's survey 2 Husband's survey Household weight for male subsample (6 decimals) Field supervisor NA - Field editor Office editor Number of eligible children for height and weight NA - Cluster altitude in meters Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 English 2 Kinyarwanda Language of interview 1 English 2 Kinyarwanda Native language of respondent 1 English 2 Kinyarwanda Translator used 0 No 1 Yes Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits for biomarker Day of biomarker visit Month of biomarker visit Year of biomarker visit Date of biomarker (CMC) Date of biomarker Century Day Code (CDC) Case Identification Line number Relationship to head 1 Head 2 Wife or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 98 Don't know Usual resident 0 No 1 Yes Slept last night 0 No 1 Yes Sex of household member 1 Male 2 Female Age of household members 95 95+ 98 Don't know Current marital status 0 Never married 1 Married 2 Living together 3 Widowed 4 Divorced 5 Not living together Currently, formerly, never married 0 Never married 1 Currently married 2 Formerly/ever married Eligibility for female interview 0 Not eligible 1 Eligible Children eligibility for malaria 0 Not eligible 1 Eligible Adult eligibility for malaria testing 0 Not eligible 1 Eligible Health insurance coverage 0 No 1 Yes 8 Don't know Health insurance type 1 Mutuelle/Community Health Insurance 2 Rama 3 MMI 4 Private/commercial 5 Other 8 Don't know Wealth Level 1 Poorest 2 Poor 3 Middle 4 Rich 8 Don't know Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other NA - Water not available for at least a day last two weeks 0 No, not interrupted for a full day 1 Yes, interrupted for a full day or more 8 Don't know Time to get to water source (minutes) 996 On premises 998 Don't know Type of toilet facility 10 FLUSH TOILET 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 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab 23 Pit latrine without slab/open pit 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other Has electricity 0 No 1 Yes Has radio 0 No 1 Yes Has television 0 No 1 Yes Has refrigerator 0 No 1 Yes Has bicycle 0 No 1 Yes Has motorcycle/scooter 0 No 1 Yes Has car/truck 0 No 1 Yes Main floor material 11 Earth/sand 12 Dung 21 Wood planks 22 Palm/bamboo 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 36 Bricks 96 Other 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 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 96 Other 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 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other Number of rooms used for sleeping Relationship structure 0 No adults 1 One adult 2 Two adults, opposite sex 3 Two adults, same sex 4 Three+ related adults 5 Unrelated adults Line number of head of household Sex of head of household 1 Male 2 Female Age of head of household 97 97+ 98 Don't know Has telephone (land-line) 0 No 1 Yes Share toilet with other households 0 No 1 Yes Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other Has mosquito bed net for sleeping 0 No 1 Yes Children under 5 slept under mosquito bed net last night 0 No 1 All children 2 Some children 3 No net in household Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Number of households sharing toilet 95 10 or more households 98 Don't know Has mobile telephone 0 No 1 Yes Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes Has a computer 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes Owns cattle 0 None 95 95 or more 98 Unknown Owns cows/ bulls 0 None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules 0 None 95 95 or more 98 Unknown Owns goats 0 None 95 95 or more 98 Unknown Owns sheep 0 None 95 95 or more 98 Unknown Owns chickens/poultry 0 None 95 95 or more 98 Unknown Owns bulls 0 None 95 95 or more 98 Unknown Owns pigs 0 None 95 95 or more 98 Unknown Owns rabbits 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown NA - Owns CS 0 None 95 95 or more 98 Unknown Has dwelling been sprayed against mosquitoes in last 12 months 0 No 1 Yes 8 Don't know Dwelling sprayed by: government worker/program 0 No 1 Yes 8 Don't know Dwelling sprayed by: private company 0 No 1 Yes 8 Don't know Dwelling sprayed by: NGO 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know NA - Dwelling sprayed by: CS 0 No 1 Yes 8 Don't know Dwelling sprayed by: other 0 No 1 Yes 8 Don't know Dwelling sprayed by: don't know 0 No 1 Yes: don't know who sprayed the dwelling 8 Don't know if it was sprayed Has bank account 0 No 1 Yes Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Number of mosquito bed nets 98 Don't know Number of mosquito bed nets with specific information Number of children under mosquito bed net previous night Case Identification District 11 Nyarugenge 12 Gasabo 13 Kicukiro 21 Nyanza 22 Gisagara 23 Nyaruguru 24 Huye 25 Nyamagabe 26 Ruhango 27 Muhanga 28 Kamonyi 31 Karongi 32 Rutsiro 33 Rubavu 34 Nyabihu 35 Ngororero 36 Rusizi 37 Nyamasheke 41 Rulindo 42 Gakenke 43 Musanze 44 Burera 45 Gicumbi 51 Rwamagana 52 Nyagatare 53 Gatsibo 54 Kayonza 55 Kirehe 56 Ngoma 57 Bugesera Heard of malaria 0 No 1 Yes Symptom of malaria: Fever 0 No 1 Yes Symptom of malaria: Feeling cold 0 No 1 Yes Symptom of malaria: Headache 0 No 1 Yes Symptom of malaria: Nausea and vomiting 0 No 1 Yes Symptom of malaria: Diarrhea 0 No 1 Yes Symptom of malaria: Dizziness 0 No 1 Yes Symptom of malaria: Loss of appetite 0 No 1 Yes Symptom of malaria: Body ache or joint pain 0 No 1 Yes Symptom of malaria: Pale eyes 0 No 1 Yes Symptom of malaria: Salty tasting palms 0 No 1 Yes Symptom of malaria: Body weakness 0 No 1 Yes Symptom of malaria: Refusing to eat or drink 0 No 1 Yes Symptom of malaria: Other 0 No 1 Yes Malaria is caused by: Mosquito bites 0 No 1 Yes Malaria is caused by: Eating immature sugar cane 0 No 1 Yes Malaria is caused by: Eating dirty food 0 No 1 Yes Malaria is caused by: Drinking dirty water 0 No 1 Yes Malaria is caused by: Getting soaked with rain 0 No 1 Yes Malaria is caused by: Cold or changing weather 0 No 1 Yes Malaria is caused by: Witchcraft 0 No 1 Yes Malaria is caused by: Living in a house surrounded by bushes 0 No 1 Yes Malaria is caused by: Other 0 No 1 Yes Malaria is caused by: Don't know 0 No 1 Yes - Don't know Protect against malaria by: Sleep under a mosquito net 0 No 1 Yes Protect against malaria by: Sleep under an ITN 0 No 1 Yes Protect against malaria by: Using mosquito repellant 0 No 1 Yes Protect against malaria by: Avoid mosquito bites 0 No 1 Yes Protect against malaria by: Take preventive medication 0 No 1 Yes Protect against malaria by: Spray house with insecticide 0 No 1 Yes Protect against malaria by: Use mosquito coils 0 No 1 Yes Protect against malaria by: Cut grass around house 0 No 1 Yes Protect against malaria by: Fill in puddles 0 No 1 Yes Protect against malaria by: Keep house surroundings clean 0 No 1 Yes Protect against malaria by: Burn leaves 0 No 1 Yes Protect against malaria by: Don't drink dirty water 0 No 1 Yes Protect against malaria by: Don't eat bad food 0 No 1 Yes Protect against malaria by: Put screens on windows 0 No 1 Yes Protect against malaria by: Don't get soaked with rain 0 No 1 Yes Protect against malaria by: Close windows/doors in the evening 0 No 1 Yes Protect against malaria by: Other 0 No 1 Yes Protect against malaria by: Don't know 0 No 1 Yes - Don't know Malaria treatment at: Ref hospital 0 No 1 Yes Malaria treatment at: District hospital 0 No 1 Yes Malaria treatment at: Health center 0 No 1 Yes Malaria treatment at: Health post 0 No 1 Yes Malaria treatment at: Outreach 0 No 1 Yes Malaria treatment at: CWH 0 No 1 Yes Malaria treatment at: Other public facility 0 No 1 Yes Malaria treatment at: Polyclinic 0 No 1 Yes Malaria treatment at: Clinic 0 No 1 Yes Malaria treatment at: Dispensary 0 No 1 Yes Malaria treatment at: Pharmacy 0 No 1 Yes Malaria treatment at: Other private medical 0 No 1 Yes Malaria treatment at: Kiosk 0 No 1 Yes Malaria treatment at: Traditional practitioner 0 No 1 Yes Malaria treatment at: Church 0 No 1 Yes Malaria treatment at: Friend / relative 0 No 1 Yes Malaria treatment at: Other 0 No 1 Yes Malaria treatment at: Don't know 0 No 1 Yes - Don't know Seen or heard any messages about malaria 0 No 1 Yes Messages seen or heard on the radio 0 No 1 Yes Messages seen or heard on the television 0 No 1 Yes Messages seen or heard on a poster or billboard 0 No 1 Yes Messages seen or heard from a community health worker 0 No 1 Yes Messages seen or heard at a community event 0 No 1 Yes Messages seen or heard anywhere else 0 No 1 Yes Has boat without a motor 0 No 1 Yes Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 0 Not seen 1 Yes, seen Months ago net obtained 96 More than 3 years ago 98 Don't know Net treated with insecticide when bought 0 No 1 Yes 8 Don't know NA - Net treatment status 0 Not pretreated 1 Pretreated, permanent treatment 2 Pretreated, requiring future treatment 3 Not pretreated, came with kit and treated at home 4 Pretreated, treatment type not known 6 Other 8 Don't know Brand of net 11 LLIN - Tana 12 LLIN - DCT 13 LLIN - Olyset 14 LLIN - Permanet 15 LLIN - Dawa plus 16 LLIN - Tuza net 17 LLIN - Other type 96 Other type 98 Don't know type Net treated since received 0 No 1 Yes 2 Permanent/LLIN net 8 Not sure Time since last re-treatment (months) 95 25+ months ago 96 More than 3 years ago 98 Don't know Insecticide-Treated Net (ITN) 0 No, don't know 1 Yes Number of persons who slept under this net 5 5+ Someone slept under this net last night 0 No 1 Yes 8 Not sure (DK) Line number of person who slept in this net 0 No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net NA - Line number of person who slept in this net Obtained net from campaign, antenatal or immunization visit 0 No 1 Yes, campaign 2 Yes, antenatal care 3 Yes, immunization visit Place where net was obtained 10 Government health facility 20 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 CHW 34 Religious institution 35 School 96 Other 98 Don't know Manufacturing year 9998 Don't know Hole in mosquito net 0 No 1 Yes Shape of mosquito net 1 Conical 2 Rectangle Color of the net 1 White 2 Green 3 Blue 4 Red 6 Other Hanged net 0 No 1 Yes Reason for not hanging the net 1 Have many nets 2 Use for other purposes 3 The net is being washed 4 Hang only in the evening 5 The net is too old 6 Other Reason why no one slept under the mosquito net last night 1 Too hot 2 Too cold 3 Net used for other purposes 4 Net not hanged 5 Bugs in net 6 Other 7 Net too old 8 Don't know Material of net preferred 1 Polyesther 2 Polyethylene Number of times mosquito nets washed 96 95 + times 98 Don't know Case Identification Index to Household Schedule Type of Mosquito Bed Net(s) person slept under last night 0 Did not sleep under a net 1 Only treated (ITN) nets 2 Both treated (ITN) and untreated nets 3 Only untreated nets Net Designation Number (HMLIDX) for 1st net person slept under last night 0 Did not sleep under net Net Designation Number (HMLIDX) for 2nd net person slept under last night Net Designation Number (HMLIDX) for 3rd net person slept under last night Corrected age from Individual file 97 97+ 98 Don't know Age in months (for children) 96 96+ Flag for age from Individual file 0 No data from Individual file 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Pregnancy status from Individual file 0 Not pregnant, don't know 1 Pregnant Person slept under an ever-treated net 0 No 1 Yes Person slept under an LLIN net 0 No 1 Yes Line number of parent/caretaker (for malaria testing) 0 Not in household Read consent statement for malaria 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Final result of malaria from blood smear test 0 Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database Presence of species: falciparum (Pf) 0 No 1 Yes Presence of species: malariae (Pm) 0 No 1 Yes Presence of species: ovale (Po) 0 No 1 Yes Presence of species: vivax (Pv) 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes NA - Presence of species: CS 0 No 1 Yes Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample Result of malaria rapid test 0 Negative 1 Positive 6 Other Fieldworker measurer code Malaria in the past 4 weeks 0 No 1 Yes Extreme weakness 0 No 1 Yes Heart problems 0 No 1 Yes Loss of consciousness 0 No 1 Yes Rapid or difficult breathing 0 No 1 Yes Seizures 0 No 1 Yes Abnormal bleeding 0 No 1 Yes Jaundice or yellow skin 0 No 1 Yes Dark urine 0 No 1 Yes Coartem taken in the past two weeks 0 No 1 Yes Consent for malaria treatment 1 Accepted medicine 2 Refused 6 Other Accepted medication 1 Accepted medecine 2 Refused 6 Other Currently pregnant 0 No 1 Yes Case Identification Case Identification Country code and phase Cluster number Household number Respondent's line number Ultimate area unit Women's individual sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) Date of interview Century Day Code (CDC) Respondent's month of birth Respondent's year of birth Date of birth (CMC) Respondent's current age Age in 5-year groups 1 15-19 2 20-24 3 25-29 4 30-34 5 35-39 6 40-44 7 45-49 Completeness of age information 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Result of individual interview 1 Completed 2 Not at home 3 Postponed 4 Refused 5 Partially completed 6 Respondent incapacitated 7 Other Day of interview Primary sampling unit Sample strata for sampling errors 1 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Stratification used in sample design 1 Kigali city - urban 2 Kigali city - rural 3 South - urban 4 South - rural 5 West - urban 6 West - rural 7 North - urban 8 North - rural 9 East - urban 10 East - rural Region 1 Kigali city 2 South 3 West 4 North 5 East Type of place of residence 1 Urban 2 Rural NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Number of visits Interviewer identification Keyer identification Field supervisor NA - Field editor Office editor NA - Line number of husband 0 Husband not in household NA - Cluster altitude in meters Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 English 2 Kinyarwanda Language of interview 1 English 2 Kinyarwanda Native language of respondent 1 English 2 Kinyarwanda Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Kigali city 2 South 3 West 4 North 5 East Type of place of residence 1 Urban 2 Rural Highest educational level 0 No education 1 Primary 2 Secondary 3 Higher Highest year of education 0 No years completed at level V106 Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 97 Not a dejure resident Time to get to water source 996 On premises 997 Not a dejure resident 998 Don't know Type of toilet facility 10 FLUSH TOILET 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 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab 23 Pit latrine without slab/open pit 30 NO FACILITY 31 No facility/bush/field 41 Composting toilet 42 Bucket toilet 43 Hanging toilet/latrine 96 Other 97 Not a dejure resident Household has: electricity 0 No 1 Yes 7 Not a dejure resident Household has: radio 0 No 1 Yes 7 Not a dejure resident Household has: television 0 No 1 Yes 7 Not a dejure resident Household has: refrigerator 0 No 1 Yes 7 Not a dejure resident Household has: bicycle 0 No 1 Yes 7 Not a dejure resident Household has: motorcycle/scooter 0 No 1 Yes 7 Not a dejure resident Household has: car/truck 0 No 1 Yes 7 Not a dejure resident Main floor material 11 Earth/sand 12 Dung 21 Wood planks 22 Palm/bamboo 31 Parquet or polished wood 32 Vinyl or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 36 Bricks 96 Other 97 Not a dejure resident 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 31 Cement 32 Stone with lime/cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks/shingles 96 Other 97 Not a dejure resident 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 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 96 Other 97 Not a dejure resident Religion 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Traditional 7 No religion 96 Other NA - Ethnicity Education in single years 97 Inconsistent NA - De facto place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 1 Kigali city 2 South 3 West 4 North 5 East 97 Not dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 7 Not a dejure resident NA - De jure place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher Relationship to household head 1 Head 2 Wife 3 Daughter 4 Daughter-in-law 5 Granddaughter 6 Mother 7 Mother-in-law 8 Sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 98 Don't know Sex of household head 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a dejure resident Literacy 0 Cannot read at all 1 Able to read only parts of sentence 2 Able to read whole sentence 3 No card with required language 4 Blind/visually impaired Toilet facilities shared with other households 0 No 1 Yes 7 Not a dejure resident Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 97 Not a dejure resident Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Type of mosquito bed net(s) slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Case Identification Case Identification Birth column number Birth order number Child is twin 0 Single birth 1 1st of multiple 2 2nd of multiple 3 3rd of multiple 4 4th of multiple 5 5th of multiple Month of birth Year of birth Date of birth (CMC) Sex of child 1 Male 2 Female Child is alive 0 No 1 Yes NA - Age at death 100 Died on day of birth 101 Days: 1 199 Days: number missing 201 Months: 1 299 Months: number missing 301 Years: 1 399 Years: number missing 997 Inconsistent 998 Don't know NA - Age at death (months, imputed) Current age of child Child lives with whom 0 Respondent 1 Father 2 Other relative 3 Someone else 4 Lives elsewhere Completeness of information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 4 Year and age - year ignored 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Preceding birth interval (months) Succeeding birth interval (months) NA - Flag for age at death 0 No flag 1 > interview 2 < breastfeeding 3 < age supplemented 4 < first breastfed 5 < last vaccination 6 Outside range 7 Imputed, units given 8 Imputed, no units Live birth between births 0 No 1 Yes Child's line number in household 0 Not listed in household Day of birth Century Day Code of birth (CDC) Current age of child in months (months since birth for dead children) Case Identification Case Identification Total children ever born Sons at home Daughters at home Sons elsewhere Daughters elsewhere Sons who have died Daughters who have died Births in last five years 0 No births Births in past year 0 No births Births in month of interview NA - Age of respondent at 1st birth Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history Birth between last and interview 0 No 1 Yes Births in last three years Case Identification Case Identification Index to Birth History Prenatal: doctor 0 No 1 Yes Prenatal: nurse/midwife 0 No 1 Yes Prenatal: auxiliary midwife 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional birth attendant 0 No 1 Yes Prenatal: Community/village health worker 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes Prenatal: other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes NA - Prenatal: CS other 0 No 1 Yes Prenatal: no one 0 No: some care 1 Yes: no care NA - During pregnancy took: SP/fansidar for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: chloroquine for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: other drug for malaria 0 No 1 Yes 8 Don't know NA - During pregnancy took: don't know 0 No 1 Yes: don't know which drug taken 8 Don't know NA - During pregnancy took: no drug for malaria 0 No 1 Yes, took no drug 8 Don't know Case Identification Case Identification Entries in pregnancy and postnatal care roster Entries in child health roster Have mosquito bed net for sleeping (from household questionnaire) 0 No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair 0 No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net 0 No 1 Yes Case Identification Case Identification Index to birth history Had fever in last two weeks 0 No 1 Yes 8 Don't know NA - Had cough in last two weeks 0 No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know Fever/cough: ref. hospital 0 No 1 Yes Fever/cough: prov./dist. hospital 0 No 1 Yes Fever/cough: health center 0 No 1 Yes Fever/cough: health post 0 No 1 Yes Fever/cough: outreach 0 No 1 Yes Fever/cough: chw 0 No 1 Yes Fever/cough: other public facility 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes NA - Fever/cough: CS public sector 0 No 1 Yes Fever/cough: polyclinic 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes NA - Fever/cough: private doctor 0 No 1 Yes Fever/cough: clinic 0 No 1 Yes Fever/cough: dispensary 0 No 1 Yes Fever/cough: other private medical facility 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes NA - Fever/cough: CS private medical 0 No 1 Yes Fever/cough: kiosk/shop 0 No 1 Yes Fever/cough: traditional healer 0 No 1 Yes Fever/cough: church 0 No 1 Yes Fever/cough: friend/relative 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes Fever/cough: other 0 No 1 Yes Fever/cough: no treatment 0 No: received treatment 1 Yes: no treatment Fever/cough: medical treatment 0 No 1 Yes Place first sought treatment for fever 11 Public reference hospital 12 Public provincial/district hospital 13 Public government health center 14 Public government health post 15 Outreach 16 Public Community Health Worker 17 Other public facility 21 Private polyclinic 22 Private clinic 23 Private dispensary 24 Private pharmacy 25 Other private medical facility 31 Other source kiosk/shop 32 Other source traditional healer 33 Other source church 34 Other source friend/relative 96 Other Number of days after fever began sought advice or treatment 0 Same day 98 Don't know Blood taken from child's finger/heel for testing 0 No 1 Yes 8 Don't know Case Identification Case Identification Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits Interviewer identification Keyer identification NA - Presence of children < 10 for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of husband for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other males for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of other females for 'Wife beating justified' questions 0 No 1 Yes - listening 2 Yes - not listening NA - Presence of children < 10 during sexual activity section 0 No 1 Yes NA - Presence of male adults during sexual activity section 0 No 1 Yes NA - Presence of female adults during sexual activity section 0 No 1 Yes Case Identification Case Identification Index to Birth History Type of mosquito bed net(s) child slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets NA - Number of times took fansidar during pregnancy 98 Don't know NA - Source of antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 6 Other source NA - Child has fever/cough now 0 No 1 Yes, fever only 2 Yes, cough only 3 Both fever and cough 8 Don't know NA - Child has had convulsions in last 2 weeks 0 No 1 Yes 8 Don't know NA - Fansidar taken for fever 0 No 1 Yes NA - Chloroquine taken for fever 0 No 1 Yes NA - Amodiaquine taken for fever 0 No 1 Yes Quinine taken for fever 0 No 1 Yes Quinine injection/IV taken for fever 0 No 1 Yes Combination with artemisinin taken for fever 0 No 1 Yes Artesunate rectal taken for fever 0 No 1 Yes Artesunate injection/IV taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes NA - CS antimalarial taken for fever 0 No 1 Yes Other antimalarial taken for fever 0 No 1 Yes Antibiotic pill/syrup taken for fever 0 No 1 Yes Antibiotic injection taken for fever 0 No 1 Yes Aspirin taken for fever 0 No 1 Yes Acetaminophen/paracetamol/panadol taken for fever 0 No 1 Yes Ibuprofen taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes Other taken for fever 0 No 1 Yes Nothing taken and didn't seek treatment for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever 0 No 1 Yes, don't know NA - Injection given for fever/convulsion 0 No 1 Yes NA - Suppository given for fever/convulsion 0 No 1 Yes NA - No suppository or injection given for fever/convulsion 0 No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion 0 No 1 Yes NA - Timing of start of fansidar 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took fansidar 7 7+ days 8 Don't know NA - First source for fansidar 0 Other source 1 At home 8 Don't know NA - Timing of start of chloroquine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took chloroquine 7 7+ days 8 Don't know NA - First source for chloroquine 0 Other source 1 At home 8 Don't know NA - Timing of start of amodiaquine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took amodiaquine 7 7+ days 8 Don't know NA - First source for amodiaquine 0 Other source 1 At home 8 Don't know Timing of start of quinine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ days after 4 4+ days after 8 Don't know NA - Number of days child took quinine 7 7+ days 8 Don't know NA - First source for quinine 0 Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer 0 No 1 Yes NA - For fever/convulsion: gave tepid sponging 0 No 1 Yes NA - For fever/convulsion: gave herbs 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: CS 0 No 1 Yes NA - For fever/convulsion: other 0 No 1 Yes NA - For fever/convulsion: gave/did nothing 0 No 1 Yes NA - For fever/convulsion: don't know if something else was done 0 No 1 Yes Timing of start of combination with artemisinin 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ days after 4 4+ days after 8 Don't know NA - Number of days child took combination with artemisinin 7 7+ days 8 Don't know NA - First source for combination with artemisinin 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know NA - Timing of start of other anti-malarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ days after 4 4+ days after 8 Don't know NA - Number of days child took other anti-malarial 7 7+ days 8 Don't know NA - First source for other anti-malarial 0 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup 0 Other source 1 At home 8 Don't know Timing of start of artesunate 0 Same day as fever/cough 1 Next day 2 2 days after 3 3+ days after 4 4+ days after 8 Don't know Case Identification Case Identification District 11 Nyarugenge 12 Gasabo 13 Kicukiro 21 Nyanza 22 Gisagara 23 Nyaruguru 24 Huye 25 Nyamagabe 26 Ruhango 27 Muhanga 28 Kamonyi 31 Karongi 32 Rutsiro 33 Rubavu 34 Nyabihu 35 Ngororero 36 Rusizi 37 Nyamasheke 41 Rulindo 42 Gakenke 43 Musanze 44 Burera 45 Gicumbi 51 Rwamagana 52 Nyagatare 53 Gatsibo 54 Kayonza 55 Kirehe 56 Ngoma 57 Bugesera Highest educational level 0 No education 1 Primary 2 Post-primary/vocational 3 Secondary 4 Tertiary 5 Pre-primary Heard of malaria 0 No 1 Yes Symptom of malaria: Fever 0 No 1 Yes Symptom of malaria: Feeling cold 0 No 1 Yes Symptom of malaria: Headache 0 No 1 Yes Symptom of malaria: Nausea and vomiting 0 No 1 Yes Symptom of malaria: Diarrhea 0 No 1 Yes Symptom of malaria: Dizziness 0 No 1 Yes Symptom of malaria: Loss of appetite 0 No 1 Yes Symptom of malaria: Body ache or joint pain 0 No 1 Yes Symptom of malaria: Pale eyes 0 No 1 Yes Symptom of malaria: Salty tasting palms 0 No 1 Yes Symptom of malaria: Body weakness 0 No 1 Yes Symptom of malaria: Refusing to eat or drink 0 No 1 Yes Symptom of malaria: Other 0 No 1 Yes Malaria is caused by: Mosquito bites 0 No 1 Yes Malaria is caused by: Eating immature sugar cane 0 No 1 Yes Malaria is caused by: Eating dirty food 0 No 1 Yes Malaria is caused by: Drinking dirty water 0 No 1 Yes Malaria is caused by: Getting soaked with rain 0 No 1 Yes Malaria is caused by: Cold or changing weather 0 No 1 Yes Malaria is caused by: Witchcraft 0 No 1 Yes Malaria is caused by: Leaving in house surrounded by bushes 0 No 1 Yes Malaria is caused by: Other 0 No 1 Yes Malaria is caused by: Don't know 0 No 1 Yes - Don't know Protect against malaria by: Sleep under a mosquito net 0 No 1 Yes Protect against malaria by: Sleep under an ITN 0 No 1 Yes Protect against malaria by: Using mosquito repellant 0 No 1 Yes Protect against malaria by: Avoid mosquito bites 0 No 1 Yes Protect against malaria by: Take preventive medication 0 No 1 Yes Protect against malaria by: Spray house with insecticide 0 No 1 Yes Protect against malaria by: Use mosquito coils 0 No 1 Yes Protect against malaria by: Cut grass around house 0 No 1 Yes Protect against malaria by: Fill in puddles 0 No 1 Yes Protect against malaria by: Keep house surroundings clean 0 No 1 Yes Protect against malaria by: Burn leaves 0 No 1 Yes Protect against malaria by: Don't drink dirty water 0 No 1 Yes Protect against malaria by: Don't eat bad food 0 No 1 Yes Protect against malaria by: Put screens on windows 0 No 1 Yes Protect against malaria by: Don't get soaked with rain 0 No 1 Yes Protect against malaria by: Close windows / doors in the evening 0 No 1 Yes Protect against malaria by: Other 0 No 1 Yes Protect against malaria by: Don't know 0 No 1 Yes - Don't know Malaria treatment at: Ref hospital 0 No 1 Yes Malaria treatment at: District hospital 0 No 1 Yes Malaria treatment at: Health center 0 No 1 Yes Malaria treatment at: Health post 0 No 1 Yes Malaria treatment at: Outreach 0 No 1 Yes Malaria treatment at: CWH 0 No 1 Yes Malaria treatment at: Other public facility 0 No 1 Yes Malaria treatment at: Polyclinic 0 No 1 Yes Malaria treatment at: Clinic 0 No 1 Yes Malaria treatment at: Dispensary 0 No 1 Yes Malaria treatment at: Pharmacy 0 No 1 Yes Malaria treatment at: Other private medical 0 No 1 Yes Malaria treatment at: Kiosk 0 No 1 Yes Malaria treatment at: Traditional practitioner 0 No 1 Yes Malaria treatment at: Church 0 No 1 Yes Malaria treatment at: Friend / relative 0 No 1 Yes Malaria treatment at: Other 0 No 1 Yes Malaria treatment at: Don't know 0 No 1 Yes - Don't know Seen or heard any messages about malaria 0 No 1 Yes Messages seen or heard on the radio 0 No 1 Yes Messages seen or heard on the television 0 No 1 Yes Messages seen or heard on a poster or billboard 0 No 1 Yes Messages seen or heard from a community health worker 0 No 1 Yes Messages seen or heard at a community event 0 No 1 Yes Messages seen or heard anywhere else 0 No 1 Yes Fieldworker code Country code and phase Fieldworker region of residence 1 Kigali 2 South 3 West 4 North 5 East Fieldworker type of place of residence 1 CIty 2 Town 3 Rural Fieldworker age Fieldworker sex 1 Male 2 Female Fieldworker marital status 1 Currently married 2 Living with a man/woman 3 Widowed 4 Divorced 5 Separated 6 Never married or lived with a man/woman Fieldworker number of living children Fieldworker ever had a child who died 1 Yes 2 No Highest level of school attended by fieldworker 1 Primary 2 Secondary 3 Higher Highest grade/form/year at that level completed by fieldworker 0 Less than one year at level Fieldworker religion 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Traditional 6 Other 7 No religion Fieldworker ethnicity 1 African 2 Indian Languages spoken by fieldworker Kinyarwanda French English Kicongo Kiswahili Language F Language G Language H Language I Language J Language K Language L Language M Other language No other language Fieldworker's mother tongue/native language 1 Kinyarwanda 2 French 3 English 4 Kicongo 5 Kiswahili 96 Other Has fieldworker ever worked on a DHS 1 Yes 2 No Has fieldworker ever worked on any other survey 1 Yes 2 No Was fieldworker working for MOH/RBC/MOPDD or NISR at the time employed for DHS 1 Yes, MOH/RBC/MOPDD 2 Yes, NISR 3 No 4 Yes, both Is fieldworker a permanent or temporary employee of MOH/RBC/MOPDD or NISR 1 Permanent 2 Temporary