RWA_2013_MIS_v01_M DDI_RWA_2013_MIS_v01_M_WB Development Data Group 2014-06-09 Nesstar Publisher Version 01 (June 2014) Malaria Indicator Survey 2013 MIS 2013 / RMIS 2013 RWA_2013_MIS_v01_M Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center National Institute of Statistics ICF International Nesstar Publisher Government of Rwanda United States Agency for International Development Global Fund to Fight AIDS, Tuberculosis and Malaria Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center Information about The DHS Program General Inquiries Data and Data Related Resources Demographic and Health Survey, Special [hh/dhs-sp] The Rwanda Malaria Indicator Survey (2013 RMIS) is the first survey of its kind in Rwanda. It selects a nationally representative sample of 4,770 households from 159 sample clusters. The survey is designed to provide information on the following key malaria control indictors: (1) the proportion of households having at least one mosquito net and at least one insecticide-treated net (ITN); (2) the proportion of children under age 5 who slept under a mosquito net and under an ITN the night before the survey; (3) and the proportion of pregnant women who slept under a mosquito net and under an ITN the night before the survey. Rwanda National coverage Sample survey data [ssd] Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center Face-to-face [f2f] Processing of the 2013 RMIS data began as soon as questionnaires were received from the field. Completed questionnaires were returned from the field to MAL & OPD Division headquarters, where they were entered and edited by data processing personnel who were specially trained for this task. Processing the data concurrently with data collection allowed for regular monitoring of team 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 their high quality work and to correct areas in need of improvement. Feedback was individually tailored to each team. Data entry, which included 100 percent double entry to minimize errors in keying and data editing, was completed on May 10, 2013. Data cleaning and finalization was completed on June 3, 2013. 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 4772 38 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH1.NSDstat 20914 31 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH2.NSDstat 4766 92 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECH3.NSDstat 4766 7 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHMH.NSDstat 20914 25 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECHML.NSDstat 7976 21 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC01.NSDstat 5164 40 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC11.NSDstat 5135 56 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC21.NSDstat 3845 20 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC22.NSDstat 5135 24 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC41.NSDstat 2313 17 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC42.NSDstat 5135 7 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC43.NSDstat 3104 52 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC81.NSDstat 5135 15 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. REC91.NSDstat 5135 72 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. RECML.NSDstat 3104 65 Nesstar 200801 This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017. 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) 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 Stratification used in sample design Region 1 Kigali 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 NA - Household selected for male interview 0 Not selected 1 Men's survey 2 Husband's survey NA - Household weight for male subsample (6 decimals) Field supervisor NA - Field editor Office editor NA - Number of eligible children for height and weight NA - Cluster altitude in meters NA - Total adults measured NA - Household selected for hemoglobin 0 Not selected 1 Selected NA - Household selected for Domestic Violence module 0 Household not selected 1 Household selected 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 97 97+ 98 Don't know NA - Highest educational level attained 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Highest year of education completed 98 Don't know NA - Education completed in single years 97 Inconsistent 98 Don't know NA - Educational attainment 0 No education 1 Incomplete primary 2 Complete primary 3 Incomplete secondary 4 Complete secondary 5 Higher 8 Don't know NA - Member still in school 0 No 1 Yes NA - Mother alive 0 No 1 Yes 8 Don't know NA - Mother's line number 0 Mother not in household NA - Father alive 0 No 1 Yes 8 Don't know NA - Father's line number 0 Father not in household Current marital status 0 Never married/never lived together 1 Married/living together 2 Living together 3 Widowed 4 Divorced/separated 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 NA - Eligibility for male interview 0 Not eligible 1 Eligible NA - Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible NA - Member attended school during current school year 0 No 1 Currently attending 2 Attended at some time NA - Educational level during current school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during current school year 98 Don't know NA - Education in single years - current school year 97 Inconsistent 98 Don't know NA - Member attended school during previous school year 0 No 1 Yes NA - Educational level during previous school year 0 No education, preschool 1 Primary 2 Secondary 3 Higher 8 Don't know NA - Grade of education during previous school year 98 Don't know NA - Education in single years - previous school year 97 Inconsistent 98 Don't know NA - School attendance status 0 Never attended 1 Entered school 2 Advanced 3 Repeating 4 Dropout 5 Left school 2+ years ago 8 Don't know NA - Member has a birth certificate 0 Neither certificate or registered 1 Has certificate 2 Registered 8 Don't know Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 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 WATER 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 - Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 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 WATER 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 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 10 NATURAL 11 Earth, sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm, bamboo 30 FINISHED 31 Parquet, polished wood 32 Vinyl, asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No walls 12 Cane / palm / trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 31 Cement 32 Stone with lime / cement 33 Bricks 34 Cement blocks 35 Covered adobe 36 Wood planks / shingles 96 Other Main roof material 10 NATURAL 11 No roof 12 Thatch / palm leaf 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm / bamboo 23 Wood planks 24 Cardboard 30 FINISHED 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 NA - Place where household members wash their hands 1 Observed 2 Not observed: not in dwelling 3 Not observed: no permission to see 4 Not observed: other reason NA - Presence of water at hand washing place 0 Water not available 1 Water is available NA - Items present: Soap or detergent 0 No 1 Yes NA - Items present: Ash, mud, sand 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: CS 0 No 1 Yes NA - Items present: None 0 No 1 Yes: no cleansing agent observed NA - Result of salt test for iodine (PPM) 0 0 PPM (no iodine) 7 Below 15 PPM 15 15 PPM and above 30 30 PPM 994 Salt not tested 995 No salt in household NA - Result of salt test for iodine 0 No iodine 1 Iodine present 3 No salt in household 6 Salt not tested Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere NA - Person fetching water 1 Adult woman 2 Adult man 3 Female child under 15 years old 4 Male child under 15 years old 6 Other NA - Anything done to water to make safe to drink 0 No 1 Yes 8 Don't know NA - Water usually treated by: boil 0 No 1 Yes 8 Don't know NA - Water usually treated by: add bleach/chlorine 0 No 1 Yes 8 Don't know NA - Water usually treated by: strain through a cloth 0 No 1 Yes 8 Don't know NA - Water usually treated by: use water filter 0 No 1 Yes 8 Don't know NA - Water usually treated by: solar disinfection 0 No 1 Yes 8 Don't know NA - Water usually treated by: let it stand and settle 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: CS 0 No 1 Yes 8 Don't know NA - Water usually treated by: other 0 No 1 Yes 8 Don't know NA - Water usually treated by: don't know 0 No 1 Yes: don't know what is done to water 8 Don't know Number of households sharing toilet 95 10 or more households 98 Don't know NA - Food cooked on stove or open fire 1 Open fire 2 Open stove 3 Closed stove with chimney 6 Other NA - Household has a chimney, hood or neither 0 Neither chimney or hood 1 Chimney 2 Hood NA - Food cooked in the house/ separate building/ outdoors 1 In the house 2 In a separate building 3 Outdoors 6 Other NA - Household has separate room used as kitchen 0 No 1 Yes 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 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 0 None 95 95 or more 98 Unknown NA - Owns local cows 0 None 95 95 or more 98 Unknown Owns milk cows 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 Has bank account 0 No 1 Yes NA - Frequency household members smoke inside the house 0 Never 1 Daily 2 Weekly 3 Monthly 4 Less than monthly 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 NA - Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest NA - Wealth index factor score (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 Has computer 0 No 1 Yes Has boat without a motor 0 No 1 Yes When nets usually washed 1 Never wash 2 Usually wash in the morning 3 Usually wash in the afternoon 4 Usually wash in the evening Why nets are washed 1 Because the net is dirty 2 Because the net smells bad 6 Other reason Type of soap used to wash nets 1 Regular washing soap (paste) 2 Power soap 3 Only water Net color preference 1 White 2 Blue 3 Pink 4 Green 6 Other 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 NA - Net Designation Number (HMLIDX) for 2nd net person slept under last night NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night Corrected age from Individual file 97 97+ 98 Don't know NA - Age in months (for children) 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 NA - Line number of parent/caretaker (for malaria testing) 0 Not in household NA - Read consent statement for malaria 1 Granted 2 Refused NA - Final result of malaria from blood smear test 0 Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database NA - Presence of species: falciparam (Pf) 0 No 1 Yes NA - Presence of species: malari (Pm) 0 No 1 Yes NA - Presence of species: ovale (Po) 0 No 1 Yes NA - Presence of species: vwax (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 NA - Result of malaria measurement 0 Measured 3 Not present 4 Refused 6 Other Bar code for blood smear sample NA - Result of malaria rapid test 0 Negative 1 Positive 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 NA - Net treated with insecticide when bought 0 No 1 Yes 8 Don't know 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 10 Long-lasting insectiside treated nets (LLIN) 11 Permanet/Mama net/ Tuzanet/ Olyset/ Net protect 16 Other/DK Brand (permanent) 20 Pretreated net 96 Other brand 98 DK brand Net treated since receiving 0 No 1 Yes 2 Permanent 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 Line number of person who slept in this net How net was obtained 11 During immunization of children 12 During immunization campaign 13 During ANC visit 14 From a community health worker 15 From pharmacy 16 From shop 96 Other Net has holes equal to or larger than the tip of a thumb 0 No 1 Yes Net shape 1 Conical 2 Rectangle Times net was washed since got it 0 Never washed 95 More than 95 times 98 Not sure 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) 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 NA - CMC start of calendar NA - Row of month of interview 0 No calendar NA - Length of calendar 0 No calendar NA - Number of calendar columns 0 No calendar Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors Stratification used in sample design Region 1 Kigali 2 South 3 West 4 North 5 East Type of place of residence 1 Urban 2 Rural NA - e 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 NA - Household selected for hemoglobin 0 Not selected 1 Selected NA - Selected for Domestic Violence module 0 Woman not selected 1 Woman selected and interviewed 2 Woman selected, but privacy not possible 3 Woman selected, but not interviewed Case Identification Case Identification Region 1 Kigali 2 South 3 West 4 North 5 East Type of place of residence 1 Urban 2 Rural NA - Childhood place of residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad NA - Years lived in place of residence 95 Always 96 Visitor 97 Inconsistent 98 Don't know NA - Type of place of previous residence 0 Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 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 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 WATER 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 10 NATURAL 11 Earth, sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm, bamboo 30 FINISHED 31 Parquet, polished wood 32 Vinyl, asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other 97 Not a dejure resident Main wall material 10 NATURAL 11 No walls 12 Cane / palm / trunks 13 Dirt 20 RUDIMENTARY 21 Bamboo with mud 22 Stone with mud 23 Uncovered adobe 24 Plywood 25 Cardboard 26 Reused wood 30 FINISHED 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 10 NATURAL 11 No roof 12 Thatch / palm leaf 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm / bamboo 23 Wood planks 24 Cardboard 30 FINISHED 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 2 South 3 West 4 North 5 East 97 Not a 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 13 Niece by blood 14 Niece by marriage 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 All woman factor - total All woman factor - urban/rural All woman factor - regional All woman factor - educational All woman factor - wealth index 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 NA - Ever participated in a literacy program outside of primary 0 No 1 Yes NA - Frequency of reading newspaper or magazine 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of listening to radio 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day NA - Frequency of watching television 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day 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 96 Other 97 Not a dejure resident NA - Result of salt test for iodine 0 0 ppm (no iodine) 7 7 ppm 15 15 ppm 30 30 ppm 994 Salt not tested 995 No salt 997 Not a dejure resident NA - Number of trips in last 12 months 0 None 90 90+ NA - Away for more than one month in last 12 months 0 No 1 Yes NA - Wealth index 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest NA - Wealth index factor score (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 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 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 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+ NA - Marriage to first birth interval (months) 996 Negative interval NA - Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history NA - Index last child prior to maternity-health (calendar) 0 No prior child 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/medical assistant 0 No 1 Yes Prenatal: 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 health worker 0 No 1 Yes Prenatal: community health mother and child 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 Case Identification Case Identification Entries in maternity table Entries in health table 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 Fever/cough: referral hospital 0 No 1 Yes Fever/cough: district 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: community health worker 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 NA - Fever/cough: private hospital/ clinic 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes NA - Fever/cough: private doctor 0 No 1 Yes Fever/cough: polyclinic 0 No 1 Yes Fever/cough: clinic 0 No 1 Yes Fever/cough: dispensary 0 No 1 Yes Fever/cough: other 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 0 No 1 Yes Fever/cough: traditional practitioner 0 No 1 Yes Fever/cough: CS other sector 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 NA - SP/Fansidar taken for fever/cough 0 No 1 Yes NA - Chloroquine taken for fever/cough 0 No 1 Yes NA - Amodiaquine taken for fever/cough 0 No 1 Yes NA - Quinine taken for fever/cough 0 No 1 Yes NA - Combination with artemisinin taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes NA - CS antimalarial taken for fever/cough 0 No 1 Yes NA - Other antimalarial taken for fever/cough 0 No 1 Yes NA - Antibiotic pill/syrup taken for fever/cough 0 No 1 Yes NA - Antibiotic injection taken for fever/cough 0 No 1 Yes NA - Aspirin taken for fever/cough 0 No 1 Yes NA - Acetaminophen/paracetamol/panadol taken for fever/cough 0 No 1 Yes NA - Ibuprofen taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - CS other for fever/cough 0 No 1 Yes NA - Other taken for fever/cough 0 No 1 Yes NA - Nothing taken for fever/cough 0 No 1 Yes, nothing taken NA - Don't know if or what was taken for fever/cough 0 No 1 Yes, don't know Place first sought treatment for fever 10 PUBLIC SECTOR 11 Referral hospital 12 District hospital 13 Health center 14 Health post 15 Outreach 16 Community Health Worker 17 Other public facility 20 PRIVATE SECTOR 21 Clinic 22 Pharmacy 23 Private doctor 24 Polyclinic 25 Dispensary 26 Other private medical facility 30 OTHER 31 Kiosk 32 Traditional practitioner 33 Church 34 Friend/relative 96 Other NA - Days after fever 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 Ever attended school 0 No 1 Yes Highest level of school attended 0 Pre-school 1 Primary 2 Post-primary/ vocational 3 Secondary 4 Higher 5 Pre-primary Highest grade completed at level Heard of malaria 0 No 1 Yes fever: Knows malaria sign/symptom 0 No 1 Yes feeling cold: knows malaria sign/symptom 0 No 1 Yes Headache: knows malaria sign/symptom 0 No 1 Yes Nausea and vomiting: knows malaria sign/symptom 0 No 1 Yes Diarrhea: knows malaria sign/symptom 0 No 1 Yes Dizziness: knows malaria sign/symptom 0 No 1 Yes Loss of appetite: knows malaria sign/symptom 0 No 1 Yes Body ache or joint pain: knows malaria sign/symptom 0 No 1 Yes Pale eyes: knows malaria sign/symptom 0 No 1 Yes Salty tasting palms: knows malaria sign/symptom 0 No 1 Yes Body weakness: knows malaria sign/symptom 0 No 1 Yes Refusing to eat or drink: knows malaria sign/symptom 0 No 1 Yes Sign for severe malaria: knows malaria sign/symptom 0 No 1 Yes Other: knows malaria sign/symptom 0 No 1 Yes Mosquito bites: knows cause of malaria 0 No 1 Yes Eating immature sugarcane: knows cause of malaria 0 No 1 Yes Eating dirty food: knows cause of malaria 0 No 1 Yes Drinking dirty water: knows cause of malaria 0 No 1 Yes Getting soaked with rain: knows cause of malaria 0 No 1 Yes Cold or changing weather: knows cause of malaria 0 No 1 Yes Witchcraft: knows cause of malaria 0 No 1 Yes Other: knows cause of malaria 0 No 1 Yes Don't know: knows cause of malaria 0 No 1 Yes Protect against malaria by: sleep under a mosquito net 0 No 1 Yes Protect against malaria by: sleep under an insecticide treated mosquito net 0 No 1 Yes Protect against malaria by: use mosquito repellant 0 No 1 Yes Protect against malaria by: avoid msoquito 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 the grass around the 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: do not drink dirty water 0 No 1 Yes Protect against malaria by: do not eat bad food 0 No 1 Yes Protect against malaria by: put mosquito screens on the windows 0 No 1 Yes Protect against malaria by: do not get soaked with rain 0 No 1 Yes Protect against malaria by: other 0 No 1 Yes Protect against malaria by: Don't know 0 No 1 Yes Knows location can receive treatment for malaria: referral hospital 0 No 1 Yes Knows location can receive treatment for malaria: district hospital 0 No 1 Yes Knows location can receive treatment for malaria: health center 0 No 1 Yes Knows location can receive treatment for malaria: health post 0 No 1 Yes Knows location can receive treatment for malaria: outreach 0 No 1 Yes Knows location can receive treatment for malaria: community health worker 0 No 1 Yes Knows location can receive treatment for malaria: other public facility 0 No 1 Yes Knows location can receive treatment for malaria: polyclinic 0 No 1 Yes Knows location can receive treatment for malaria: clinic 0 No 1 Yes Knows location can receive treatment for malaria: dispensary 0 No 1 Yes Knows location can receive treatment for malaria: pharmacy 0 No 1 Yes Knows location can receive treatment for malaria: other private medical facility 0 No 1 Yes Knows location can receive treatment for malaria: kiosk 0 No 1 Yes Knows location can receive treatment for malaria: traditional practitioner 0 No 1 Yes Knows location can receive treatment for malaria: church 0 No 1 Yes Knows location can receive treatment for malaria: friend/relative 0 No 1 Yes Knows location can receive treatment for malaria: other 0 No 1 Yes Knows location can receive treatment for malaria: don't know 0 No 1 Yes Seen or heard messages about malaria in the last six months 0 No 1 Yes Where heard or seen malaria messages: radio 0 No 1 Yes Where heard or seen malaria messages: television 0 No 1 Yes Where heard or seen malarial messages: poster or billboard 0 No 1 Yes Where heard or seen malarial messages: community health worker 0 No 1 Yes Where heard or seen malarial messages: at community event 0 No 1 Yes Where heard or seen malarial messages: other 0 No 1 Yes Number of births in last 6 years 0 None 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/cough 0 No 1 Yes NA - Chloroquine taken for fever/cough 0 No 1 Yes NA - Amodiaquine taken for fever/cough 0 No 1 Yes Quinine taken for fever/cough 0 No 1 Yes Combination with artemisinin taken for fever/cough 0 No 1 Yes Primo antimalarial taken for fever/cough 0 No 1 Yes Arthemether taken for feverr/cough 0 No 1 Yes Other antimalarial taken for fever/cough 0 No 1 Yes Antibiotic pill/syrup taken for fever/cough 0 No 1 Yes Antibiotic injection taken for fever/cough 0 No 1 Yes Aspirin taken for fever/cough 0 No 1 Yes Acetaminophen/paracetamol/panadol taken for fever/cough 0 No 1 Yes Ibuprofen taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes NA - CS other taken for fever/cough 0 No 1 Yes Other taken for fever/cough 0 No 1 Yes Nothing taken for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever/cough 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 1 Next day 2 2 days after 3 3+ 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 1 Next day 2 2 days after 3 3+ 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 Timing of start of primo 0 Same day as fever 1 Next day 2 2 days after 3 3+ 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 Timing of start of other anti-malarial use 0 Same day as fever 1 Next day 2 2 days after 3 3+ 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