DDI_NGA_2021_MIS_v01_M_WB Development Economics Data Group 2023-03-01 Metadata Editor Version 01 (March 2023). Metadata in this DDI is excerpted from "Nigeria Malaria Indicator Survey 2021" report. NGA_2021_MIS_v01_M Malaria Indicator Survey 2021 MIS/ NMIS 2021 National Malaria Elimination Programme (NMEP) National Population Commission, Nigeria National Bureau of Statistics, Nigeria ICF Government of Nigeria United States Agency for International Development Global Fund to Fight AIDS, Tuberculosis and Malaria Metadata Editor Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey [hh/mis] The 2021 Nigeria Malaria Indicator Survey (NMIS) was implemented by the NMEP in collaboration with the National Population Commission (NPC) and the National Bureau of Statistics (NBS), with technical assistance from ICF. The first NMIS was conducted in 2010 and the second in 2015. The 2021 NMIS is a follow-up to the 2015 NMIS. Nigeria National coverage Sample survey data [ssd] Face-to-face [f2f] Three questionnaires were used in the 2021 NMIS: the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Nigeria. After the questionnaires were finalised in English, they were translated into Hausa, Yoruba, and Igbo. The processing of the 2021 NMIS data began immediately after the start of fieldwork. As data collection was being completed in each cluster, all electronic data files were transferred via the IFSS to the NPC central office in Abuja. Data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted on any inconsistencies and errors. Secondary editing, carried out in the central office, involved resolving inconsistencies and coding open-ended questions. The biomarker paper questionnaires were compared with electronic data files to check for any inconsistencies in data entry. Data entry and editing were carried out using the CSPro software package. Concurrent processing of the data offered a distinct advantage because it maximised the likelihood of the data being error-free and accurate. Timely generation of field check tables also allowed for effective monitoring. Secondary editing of the data was completed in February 2022. The data processing team coordinated this exercise at the central office. A total of 14,185 households were selected for the survey, of which 13,887 were occupied and 13,727 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 14,647 women age 15-49 were identified for individual interviews. Interviews were completed with 14,476 women, yielding a response rate of 99%. 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.dta 14185 52 .dta RECH1.dta 70428 9 .dta RECH2.dta 13727 58 .dta RECH3.dta 14185 17 .dta RECH6.dta 13002 33 .dta RECHML.dta 17467 20 .dta RECHMH.dta 70428 42 .dta REC01.dta 14647 40 .dta REC11.dta 14476 51 .dta REC21.dta 11971 23 .dta REC23.dta 14476 23 .dta REC41.dta 5497 60 .dta REC42.dta 14476 9 .dta REC4A.dta 10988 40 .dta REC44.dta 10988 15 .dta REC81.dta 14476 8 .dta RECML.dta 10988 67 .dta RECSBC.dta 14476 41 .dta REC91.dta 14647 8 .dta REC95.dta 10988 5 .dta FWRECORD.dta 185 34 .dta Fieldworker record 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 NA - Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 Stratification used in sample design 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 Region 1 Sokoto 2 Zamfara 3 Katsina 4 Jigawa 5 Yobe 6 Borno 7 Adamawa 8 Gombe 9 Bauchi 10 Kano 11 Kaduna 12 Kebbi 13 Niger 14 FCT 15 Nasarawa 16 Plateau 17 Taraba 18 Benue 19 Kogi 20 Kwara 21 Oyo 22 Osun 23 Ekiti 24 Ondo 25 Edo 26 Anambra 27 Enugu 28 Ebonyi 29 Cross River 30 Akwa Ibom 31 Abia 32 Imo 33 Rivers 34 Bayelsa 35 Delta 36 Lagos 37 Ogun 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 NA - Office editor Number of eligible children for height and weight Cluster altitude in meters NA - Total adults measured Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 English 2 Hausa 3 Yoruba 4 Igbo Language of interview 1 English 2 Hausa 3 Yoruba 4 Igbo Native language of respondent 1 English 2 Hausa 3 Yoruba 4 Igbo 5 Fulfulde 6 Other Translator used 0 No 1 Yes Team number 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/step child 12 Not related 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 Eligibility for female interview 0 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 0 Not eligible 1 Eligible 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 72 Sachet 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 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 10 NATURAL 11 Earth/sand 12 Dung 20 RUDIMENTARY 21 Wood planks 22 Palm/bamboo 30 FINISHED 31 Parquet or polished wood 32 Vinyl or 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 Grass 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Metal/Zinc 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 37 Asbestos 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 Type of cookstove 1 Electric stove 2 Solar cooker 3 Liquefied petrolium gas (LPG)/cooking gas stove 4 Piped natural gas stove 5 Biogas stove 6 Kerosene stove 7 Manufactured solid fuel stove 8 Traditional solid fuel stove 9 Three stone stove/open fire 95 No food cooked in household 96 Other Type of cooking fuel 1 Alcohol/ethanol 2 Gasoline/diesel 3 Kerosene/Paraffin 4 Coal/lignite 5 Charcoal 6 Wood 7 Straw/shrubs/grass 8 Agricultural crop 9 Animal dung/waste 10 Processed biomass (pellets) or woodchips 11 Garbage/plastic 12 Sawdust 96 Other Share toilet with other households 0 No 1 Yes Type of cooking fuel 1 Electricity 2 Solar cooker 3 LPG 4 Natural gas 5 Biogas 6 Alcohol/ethanol 7 Gasoline/diesel 8 Kerosene/paraffin 9 Coal/lignite 10 Charcoal 11 Wood 12 Straw/shrubs/grass 13 Agricultural crop 14 Animal dung/waste 15 Processed biomass (pellets) or woodchips 16 Garbage/plastic 17 Sawdust 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 Location of toilet facility 1 In own dwelling 2 In own yard/plot 3 Elsewhere 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 pigs 0 None 95 95 or more 98 Unknown Owns camels 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 NA - Owns CS 0 None 95 95 or more 98 Unknown 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 Local government area Team supervisor number Region 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West Bonny State 0 No 1 Yes Has table 0 No 1 Yes Has chair 0 No 1 Yes Has bed 0 No 1 Yes Has sofa 0 No 1 Yes Has cupboard 0 No 1 Yes Has air conditioner 0 No 1 Yes Has electric iron 0 No 1 Yes Has generator 0 No 1 Yes Has fan 0 No 1 Yes Has canoe 0 No 1 Yes Has keke napep 0 No 1 Yes Used mobile phone for financial transactions 0 No 1 Yes Case Identification Index to Household Schedule Child's age in months Child's age in days Day of birth 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Century Day Code (CDC) of measurement Fieldworker measurer code Sex 1 Male 2 Female Month of birth 97 Inconsistent 98 Don't know Year of birth 9997 Inconsistent 9998 Don't know Date of birth (CMC) Century Day Code (CDC) of birth Completeness of HC32 information 0 Month, year and day 1 Month and year - information complete 2 Month and age - year imputed 3 Year and age - month imputed 5 Year - age/month imputed 6 Age - year/month imputed 7 Month - age/year imputed 8 None - all imputed Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 3 Not present/other 4 Refused 6 Other Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes Mother's line number (woman's questionnaire) 993 Mother not de facto 994 Incomplete woman's interview 995 Not in household Mother's highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Mother's highest year of education 98 Don't know Preceding birth interval (months) Birth order number Mother's highest educational level (for preliminary and final report) 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know Read consent statement for DBS 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Fieldworker measurer code for DBS Read consent statement for additional testing 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present Fieldworker measurer code for additional testing 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 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 Permanet 12 Olyset 13 Iconlife 14 Duranet 15 Netprotect 16 Basf Interceptor 17 Yorkool 18 Magnet 19 Dawaplus 2.0 20 Royal Security 21 Royal Sentry 22 Permanet 2.0 23 Permanet 3.0 24 Veeralin 25 Interceptor G2 26 Royal Guard 36 Other/Don't know brand (LLIN) 96 Other brand 98 Don't know brand NA - Net treated since received 0 No 1 Yes 2 Permanent/LLIN net 8 Not sure NA - 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 (Don't know) 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, mass distribution campaign 2 Yes, antenatal care 3 Yes, immunization visit Place where net was obtained 10 1 11 2 20 3 21 4 30 5 31 6 32 7 33 8 34 9 35 10 96 11 98 12 Reason net was not used 1 No mosquitoes 2 No malaria 3 Too hot 4 Don't like smell 5 Feel 'closed in' 6 Net too old/torn 7 Net too dirty 8 Net not available last night (washing) 9 Usual users did not sleep here last night 10 Net not needed last night 11 Bed bugs 96 Other 98 Don't know 99 Missing 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) 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 3 Not present 4 Refused 6 Other Fieldworker measurer code for malaria Suffer from illness/symptom: extreme weakness 0 No 1 Yes Suffer from illness/symptom: heart problems 0 No 1 Yes Suffer from illness/symptom: loss of consciousness 0 No 1 Yes Suffer from illness/symptom: rapid or difficult breathing 0 No 1 Yes Suffer from illness/symptom: seizures 0 No 1 Yes Suffer from illness/symptom: abnormal bleeding 0 No 1 Yes Suffer from illness/symptom: jaundice or yellow skin 0 No 1 Yes Suffer from illness/symptom: dark urine 0 No 1 Yes Suffer from illness/symptom: vomiting 0 No 1 Yes Suffer from illness/symptom: pallor 0 No 1 Yes Suffer from illness/symptom: refusal to eat 0 No 1 Yes Suffer from illness/symptom: very cold hands and feet 0 No 1 Yes NA - Suffer from illness/symptom: CS 0 No 1 Yes Child taken or taking first line medicine given by health provider for malaria 0 No 1 Yes Parent accept first line medicine to treat malaria 0 Refused medicine 1 Accepted medicine 6 Other Fieldworker provided first line medicine for malaria 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 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 Stratification used in sample design 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 Region 1 Sokoto 2 Zamfara 3 Katsina 4 Jigawa 5 Yobe 6 Borno 7 Adamawa 8 Gombe 9 Bauchi 10 Kano 11 Kaduna 12 Kebbi 13 Niger 14 FCT 15 Nasarawa 16 Plateau 17 Taraba 18 Benue 19 Kogi 20 Kwara 21 Oyo 22 Osun 23 Ekiti 24 Ondo 25 Edo 26 Anambra 27 Enugu 28 Ebonyi 29 Cross River 30 Akwa Ibom 31 Abia 32 Imo 33 Rivers 34 Bayelsa 35 Delta 36 Lagos 37 Ogun 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 NA - Keyer identification Field supervisor NA - Field editor NA - Office editor NA - Line number of husband 0 Husband not in household Cluster altitude in meters Household selected for hemoglobin 0 Not selected 1 Selected Language of questionnaire 1 English 2 Hausa 3 Yoruba 4 Igbo Language of interview 1 English 2 Hausa 3 Yoruba 4 Igbo 5 Fulfulde 6 Other Native language of respondent 1 English 2 Hausa 3 Yoruba 4 Igbo 5 Fulfulde 6 Other Translator used 0 No 1 Yes Team number Case Identification Case Identification Region 1 Sokoto 2 Zamfara 3 Katsina 4 Jigawa 5 Yobe 6 Borno 7 Adamawa 8 Gombe 9 Bauchi 10 Kano 11 Kaduna 12 Kebbi 13 Niger 14 FCT 15 Nasarawa 16 Plateau 17 Taraba 18 Benue 19 Kogi 20 Kwara 21 Oyo 22 Osun 23 Ekiti 24 Ondo 25 Edo 26 Anambra 27 Enugu 28 Ebonyi 29 Cross River 30 Akwa Ibom 31 Abia 32 Imo 33 Rivers 34 Bayelsa 35 Delta 36 Lagos 37 Ogun 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 72 Sachet 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 or polished wood 32 Vinyl or 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 Grass 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Metal/Zinc 32 Wood 33 Calamine/cement fiber 34 Ceramic tiles 35 Cement 36 Roofing shingles 37 Asbestos 96 Other 97 Not a dejure resident Religion 1 Catholic 2 Other Christian 3 Islam 4 Traditionalist 96 Other Ethnicity 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 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eligible women in household (de facto) De jure region of residence 0 Abroad 1 Sokoto 2 Zamfara 3 Katsina 4 Jigawa 5 Yobe 6 Borno 7 Adamawa 8 Gombe 9 Bauchi 10 Kano 11 Kaduna 12 Kebbi 13 Niger 14 FCT 15 Nasarawa 16 Plateau 17 Taraba 18 Benue 19 Kogi 20 Kwara 21 Oyo 22 Osun 23 Ekiti 24 Ondo 25 Edo 26 Anambra 27 Enugu 28 Ebonyi 29 Cross River 30 Akwa Ibom 31 Abia 32 Imo 33 Rivers 34 Bayelsa 35 Delta 36 Lagos 37 Ogun 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 NA - Ever participated in a literacy program outside of primary 0 No 1 Yes 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 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 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 Solar cooker 3 LPG 4 Natural gas 5 Biogas 6 Alcohol/ethanol 7 Gasoline/diesel 8 Kerosene/paraffin 9 Coal/lignite 10 Charcoal 11 Wood 12 Straw/shrubs/grass 13 Agricultural crop 14 Animal dung/waste 15 Processed biomass (pellets) or woodchips 16 Garbage/plastic 17 Sawdust 95 No food cooked in house 96 Other 97 Not a dejure resident Owns a mobile telephone 0 No 1 Yes Is respondent's mobile phone a smart phone 0 No 1 Yes Use of internet 0 Never 1 Yes, last 12 months 2 Yes, before last 12 months 3 Yes, can't establish when Frequency of using internet last month 0 Not at all 1 Less than once a week 2 At least once a week 3 Almost every day 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 3 4 5 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 Currently pregnant 0 No or unsure 1 Yes Duration of current pregnancy in months Duration of current pregnancy original 101 Weeks: 1 199 Weeks: number missing 201 Months: 1 299 Months: number missing 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 Prenatal: government health community extension health worker 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/field 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 Timing of 1st antenatal check (months) 98 Don't know Timing of 1st antenatal check (original) 101 Weeks: 1 199 Weeks: number missing 201 Months: 1 299 Months: number missing 998 Don't know Number of antenatal visits during pregnancy 0 No antenatal visits 98 Don't know 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 Antenatal care: respondent's home 0 No 1 Yes Antenatal care: other home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes NA - Antenatal care: CS home 0 No 1 Yes Antenatal care: government hospital 0 No 1 Yes Antenatal care: government health center 0 No 1 Yes Antenatal care: government health post 0 No 1 Yes Antenatal care: other public sector 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes NA - Antenatal care: CS public health 0 No 1 Yes Antenatal care: private hospital 0 No 1 Yes Antenatal care: private clinic 0 No 1 Yes Antenatal care: other private medical sector 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes NA - Antenatal care: CS private medical 0 No 1 Yes Antenatal care: NGO hospital 0 No 1 Yes Antenatal care: NGO clinic 0 No 1 Yes Antenatal care: other NGO medical sector 0 No 1 Yes NA - Antenatal care: NGO medical 0 No 1 Yes NA - Antenatal care: NGO medical 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes NA - Antenatal care: CS other 0 No 1 Yes Antenatal care: other 0 No 1 Yes Number of times took fansidar during pregnancy 98 Don't know Source of antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 3 Community health extension worker 6 Other source Case Identification Case Identification Entries in pregnancy and postnatal care roster Entries in child health roster Entries in height/weight 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 Record for Last Birth 0 See specific questions 1 Last birth only 2 All births in last 5 years 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: government hospital 0 No 1 Yes Fever/cough: government health center 0 No 1 Yes Fever/cough: government health post 0 No 1 Yes Fever/cough: government mobile clinic 0 No 1 Yes Fever/cough: government community health worker/fieldworker 0 No 1 Yes Fever/cough: other public sector 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: CS public sector 0 No 1 Yes Fever/cough: private hospital 0 No 1 Yes Fever/cough: private pharmacy 0 No 1 Yes Fever/cough: private doctor 0 No 1 Yes Fever/cough: private clinic 0 No 1 Yes Fever/cough: private mobile clinic 0 No 1 Yes Fever/cough: private community health worker/fieldworker 0 No 1 Yes Fever/cough: other private medical sector 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: NGO hospital 0 No 1 Yes Fever/cough: NGO clinic 0 No 1 Yes Fever/cough: other NGO sector 0 No 1 Yes NA - Fever/cough: CS NGO 0 No 1 Yes NA - Fever/cough: CS NGO 0 No 1 Yes Fever/cough: chemist shop/PPMV 0 No 1 Yes Fever/cough: traditional practitioner 0 No 1 Yes Fever/cough: market 0 No 1 Yes Fever/cough: itinerant drug seller 0 No 1 Yes Fever/cough: community-oriented resource person 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 10 PUBLIC SECTOR 11 Government hospital 12 Government health center 13 Government health post 14 Government mobile clinic 15 Government CHW/fieldworker 16 Other public sector 20 PRIVATE SECTOR 21 Private hospital 22 Private clinic 23 Private pharmacy 24 Private doctor 25 Private mobile clinic 26 Private CHW/fieldworker 27 Other private medical sector 30 OTHER 31 NGO hospital 32 NGO clinic 33 Other NGO medical sector 34 Chemist shop/PPMV 35 Traditional practitioner 36 Market 37 Itinerant drug seller 38 Community-oriented resource-person 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 Was respondent told that child had malaria 0 No 1 Yes 8 Don't know Case Identification Case Identification Index to Birth History Child's age in months Day of birth of child 97 Inconsistent 98 Don't know Date measured (day) Date measured (month) Date measured (year) Line number of parent/caretaker 0 Not in household Read consent statement - hemoglobin 1 Granted 2 Refused 3 Not present/other Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other Result of measurement - hemoglobin 0 Measured 1 Dead 3 Not present 4 Refused 6 Other 7 No measurement found in household Hemoglobin level adjusted for altitude (g/dl - 1 decimal) 997 Inconsistent Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia 0 No 1 Yes 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 NA - Keyer identification 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 - 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 Fansidar taken for fever 0 No 1 Yes Chloroquine taken for fever 0 No 1 Yes 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 Amoxicillin taken for fever 0 No 1 Yes Cotrimoxazole 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 NA - 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 NA - 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 Last six months heard/seen malaria messages 0 No 1 Yes Malaria messages were heard/seen: radio 0 No 1 Yes Malaria messages were heard/seen: television 0 No 1 Yes Malaria messages were heard/seen: poster/billboard 0 No 1 Yes Malaria messages were heard/seen: newspaper/magazine 0 No 1 Yes Malaria messages were heard/seen: leaflet/brochure 0 No 1 Yes Malaria messages were heard/seen: healthcare provider 0 No 1 Yes Malaria messages were heard/seen: community health worker 0 No 1 Yes Malaria messages were heard/seen: social media 0 No 1 Yes Malaria messages were heard/seen: town announcer 0 No 1 Yes Malaria messages were heard/seen: inter-personal communication agent/community v 0 No 1 Yes Malaria messages were heard/seen: family/friends 0 No 1 Yes Malaria messages were heard/seen: other 0 No 1 Yes Malaria messages were heard/seen: don't remember 0 No 1 Yes Are there ways to avoid getting malaria 0 No 1 Yes 8 Don't know Malaria can be prevented by: sleep inside a mosquito net 0 No 1 Yes Malaria can be prevented by: sleep inside an insecticide-treated mosquito net 0 No 1 Yes Malaria can be prevented by: use mosquito repellent or coil 0 No 1 Yes Malaria can be prevented by: take preventive medications 0 No 1 Yes Malaria can be prevented by: spray house with insecticide 0 No 1 Yes Malaria can be prevented by: fill in stagnant waters (puddles) 0 No 1 Yes Malaria can be prevented by: keep surroundings clean 0 No 1 Yes Malaria can be prevented by: put mosquito screen on windows 0 No 1 Yes NA - Malaria can be prevented by: CS 0 No 1 Yes NA - Malaria can be prevented by: CS 0 No 1 Yes NA - Malaria can be prevented by: CS 0 No 1 Yes Malaria can be prevented by: other 0 No 1 Yes Malaria can be prevented by: don't know 0 No 1 Yes Agree/disagree with: people in community get malaria in rainy season 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: when child has fever worry it is malaria 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: getting malaria not a problem as can be treated 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: only weak children can die from malaria 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: sleep inside net when there are lots of mosquitoes 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: sleep inside net when there are few mosquitoes 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: don't like sleep inside a net when is too warm 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: if child has fever best to give medicine available at home 0 Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: people take children to health provider same day or next da 0 Disagree/less than half 1 Agree/more than half 8 Don't know/uncertain Agree/disagree with: people who have nets usually sleep under every night 0 Disagree/less than half 1 Agree/more than half 8 Don't know/uncertain Agree/disagree with: important children take full dose of medicine they are pres 0 Disagree 1 Agree 8 Don't know/uncertain Case Identification Case Identification Local government area Region 1 North Central 2 North East 3 North West 4 South East 5 South South 6 South West Bonny State 0 No 1 Yes Had informal education 0 No 1 Yes Type of informal education 1 Adult education 2 Tsangaya 3 Quaranic Number of births 2016-2021 0 No births Case Identification Case Identification Index to Birth History Referred to higher level of care 0 No 1 Yes Fever went away after took ACT 0 No 1 Yes Fieldworker code Country code and phase Fieldworker state of residence 1 SOKOTO 2 ZAMFARA 3 KATSINA 4 JIGAWA 5 YOBE 6 BORNO 7 ADAMAWA 8 GOMBE 9 BAUCHI 10 KANO 11 KADUNA 12 KEBBI 13 NIGER 14 FCT 15 NASARAWA 16 PLATEAU 17 TARABA 18 BENUE 19 KOGI 20 KWARA 21 OYO 22 OSUN 23 EKITI 24 ONDO 25 EDO 26 ANAMBRA 27 ENUGU 28 EBONYI 29 CROSS RIVER 30 AKWA IBOM 31 ABIA 32 IMO 33 RIVERS 34 BAYELSA 35 DELTA 36 LAGOS 37 OGUN 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 Other christian 3 Islam 4 Traditionalist 95 No religion 96 Other Fieldworker ethnicity 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 53 52 54 53 55 54 56 55 57 56 59 57 60 58 61 59 62 60 63 61 64 62 65 63 66 64 67 65 68 66 69 67 70 68 71 69 72 70 73 71 74 72 75 73 76 74 77 75 78 76 79 77 80 78 81 79 82 80 83 81 84 82 85 83 86 84 87 85 88 86 89 87 90 88 91 89 92 90 94 91 95 92 96 93 97 94 98 95 99 96 100 97 101 98 102 99 103 100 104 101 105 102 106 103 107 104 108 105 109 106 110 107 111 108 112 109 113 110 114 111 115 112 116 113 117 114 118 115 119 116 120 117 121 118 122 119 123 120 124 121 125 122 126 123 127 124 128 125 129 126 130 127 131 128 132 129 133 130 134 131 135 132 136 133 137 134 138 135 139 136 140 137 141 138 142 139 143 140 144 141 145 142 146 143 147 144 148 145 149 146 150 147 151 148 152 149 153 150 154 151 155 152 156 153 157 154 158 155 159 156 160 157 162 158 163 159 164 160 165 161 166 162 167 163 168 164 169 165 170 166 171 167 172 168 173 169 174 170 175 171 176 172 177 173 178 174 179 175 180 176 181 177 182 178 183 179 184 180 185 181 186 182 187 183 188 184 189 185 190 186 191 187 192 188 193 189 194 190 195 191 196 192 197 193 198 194 199 195 200 196 201 197 202 198 203 199 204 200 205 201 206 202 207 203 208 204 209 205 210 206 211 207 212 208 213 209 214 210 215 211 216 212 217 213 218 214 219 215 220 216 221 217 222 218 223 219 224 220 225 221 226 222 227 223 228 224 229 225 230 226 231 227 232 228 233 229 234 230 235 231 236 232 237 233 238 234 239 235 240 236 241 237 242 238 243 239 244 240 245 241 246 242 247 243 249 244 250 245 251 246 252 247 253 248 254 249 255 250 256 251 257 252 258 253 259 254 260 255 261 256 262 257 263 258 264 259 265 260 266 261 267 262 268 263 269 264 270 265 272 266 273 267 274 268 275 269 276 270 277 271 278 272 279 273 280 274 281 275 282 276 283 277 284 278 285 279 286 280 287 281 288 282 289 283 290 284 291 285 292 286 293 287 294 288 295 289 296 290 297 291 298 292 299 293 301 294 302 295 303 296 304 297 305 298 306 299 307 300 308 301 309 302 310 303 311 304 312 305 313 306 314 307 315 308 316 309 317 310 320 311 321 312 322 313 323 314 324 315 325 316 326 317 327 318 328 319 329 320 330 321 331 322 332 323 333 324 334 325 335 326 336 327 337 328 338 329 339 330 340 331 341 332 342 333 343 334 344 335 345 336 346 337 347 338 348 339 349 340 350 341 351 342 352 343 353 344 354 345 355 346 356 347 357 348 358 349 359 350 360 351 361 352 362 353 363 354 364 355 365 356 366 357 367 358 368 359 369 360 370 361 371 362 372 363 373 364 374 365 375 366 376 367 377 368 378 369 379 370 380 371 381 372 382 373 383 374 384 375 385 376 386 377 387 378 388 379 389 380 390 381 391 382 392 383 393 384 394 385 395 386 396 387 397 388 398 389 996 390 998 391 Languages spoken by fieldworker English Hausa Yoruba Igbo Urhobo Ibibio Edo Fulfulde Kanuri Other language No other language Fieldworker's mother tongue/native language 1 English 2 Hausa 3 Yoruba 4 Igbo 5 Urhobo 6 Ibibio 7 Edo 8 Fulfulde 9 Kanuri 96 Other Has fieldworker ever worked on a DHS prior to this survey 1 Yes 2 No Has fieldworker ever worked on an MIS prior to this survey 1 Yes 2 No Has fieldworker ever worked on any other survey prior to this survey 1 Yes 2 No Was fieldworker working for implementing agency at the time employed for DHS 1 Yes, NMEP 2 Yes, NPC 3 No Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary Does fieldworker has any comments 1 Yes 2 No Fieldworker region of residence 1 ABIA 2 ADAMAWA 3 AKWA IBOM 4 ANAMBRA 5 BAUCHI 6 BAYELSA 7 BENUE 8 BORNO 9 CROSS RIVER 10 DELTA 11 EBONYI 12 EDO 13 EKITI 14 ENUGU 15 FCT 16 GOMBE 17 IMO 18 JIGAWA 19 KADUNA 20 KANO 21 KATSINA 22 KEBBI 23 KOGI 24 KWARA 25 LAGOS 26 NASARAWA 27 NIGER 28 OGUN 29 ONDO 30 OSUN 31 OYO 32 PLATEAU 33 RIVERS 34 SOKOTO 35 TARABA 36 YOBE 37 ZAMFARA Fieldworker's mother tongue/native language