DDI_NER_2021_MIS_v01_M_WB Development Economics Data Group 2023-03-01 NADA Version 01 (March 2023). Metadata in this DDI is excerpted from "Niger : Enquête sur les Indicateurs du Paludisme (EIP) 2021" Report. Enquête sur les Indicateurs du Paludisme 2021 MIS / EIPN 2021 NER_2021_MIS_v01_M Institut National de la Statistique (INS) ICF International Programme National de Lutte contre le Paludisme NADA Gouvernement du Niger Agence des États-Unis pour le Développement international Initiative Présidentielle des Etats-Unis contre le Paludisme Catholic Relief Services Questions Généraux Données Malaria Indicator Survey [hh/mis] Niger National coverage Sample survey data [ssd] Institut National de la Statistique Face-to-face [f2f] The DHS Program RECH0.dta HOUSEHOLD - Household's basic data 4966 51 RECH1.dta HOUSEHOLD - Household Schedule 30305 9 RECH2.dta HOUSEHOLD - Household Characteristics 4729 58 RECH3.dta HOUSEHOLD - Survey specific Household variables 4966 21 RECH6.dta HOUSEHOLD - Children Hemoglobin 4929 29 RECHML.dta HOUSEHOLD - Malaria: by Mosquito Bed Net 13444 20 RECHMH.dta HOUSEHOLD - Malaria: by Household Member 30305 43 REC01.dta WOMAN - Respondent's basic data 5953 39 REC11.dta WOMAN - Respondent's basic data (continued) 5795 49 REC21.dta WOMAN - Reproduction and Birth History 5713 23 REC22.dta WOMAN - Reproduction (continued) 5795 22 REC41.dta WOMAN - Maternity 2734 54 REC42.dta WOMAN - Health and Breastfeeding 5795 19 REC4A.dta WOMAN - Child's health 4824 34 REC44.dta WOMAN - Child's hemoglobin/anemia 5120 15 REC81.dta WOMAN - Characteristics of Interview 5795 8 RECML.dta WOMAN - Malaria 4824 67 RECSBC.dta WOMAN - Social behavior change communication - Malaria 5795 40 REC91.dta WOMAN - Country specific variables 5953 36 REC94.dta WOMAN - Country specific Maternity variables 2734 7 REC95.dta WOMAN - Country specific Health and Vaccination variables 4824 13 FWRECORD.dta Fieldworker record 63 31 Case Identification Country code and phase Cluster number Household number Respondent's line number (answering Household questionnaire) 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 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Agadez: Urban 2 Agadez: Rural 3 Diffa: Urban 4 Diffa: Rural 5 Dosso: Urban 6 Dosso: Rural 7 Maradi: Urban 8 Maradi: Rural 9 Tahoua: Urban 10 Tahoua: Rural 11 Tillaberi: Urban 12 Tillaberi: Rural 13 Zinder: Urban 14 Zinder: Rural 15 Niamey: Urban 16 Niamey: Rural Stratification used in sample design 1 Agadez: Urban 2 Agadez: Rural 3 Diffa: Urban 4 Diffa: Rural 5 Dosso: Urban 6 Dosso: Rural 7 Maradi: Urban 8 Maradi: Rural 9 Tahoua: Urban 10 Tahoua: Rural 11 Tillaberi: Urban 12 Tillaberi: Rural 13 Zinder: Urban 14 Zinder: Rural 15 Niamey: Urban 16 Niamey: Rural Region 1 Agadez 2 Diffa 3 Dosso 4 Maradi 5 Tahoua 6 Tillaberi 7 Zinder 8 Niamey Type of place of residence 1 Urban 2 Rural NA - Place of residence Capital, large city 1 Small city 2 Town 3 Countryside Household selected for male interview 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 anemia and malaria Cluster altitude in meters NA - Total adults measured Household selected for hemoglobin Not selected 1 Selected Language of questionnaire 1 French 2 Haoussa 3 Zerma Language of interview 1 French 2 Haoussa 3 Zerma 4 Tamasheq 5 Fulfulde 6 Kanouri / Toubou 7 Arabic 8 Gourmantchema 96 Other Native language of respondent 1 French 2 Haoussa 3 Zerma 4 Tamasheq 5 Fulfulde 6 Kanouri / Toubou 7 Arabic 8 Gourmantchema 96 Other Translator used No 1 Yes Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits for biomarker Day of biomarker visit Month of biomarker visit Year of biomarker visit Date of biomarker (CMC) Date of biomarker Century Day Code (CDC) Case Identification Line number Relationship to head 1 Head 2 Wife or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster/wife's/husband's child 12 Not related 98 Don't know Usual resident No 1 Yes Slept last night 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 Not eligible 1 Eligible Children eligibility for height/weight and hemoglobin 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 71 Bottled water 96 Other NA - Water not available for at least a day last two weeks 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 No 1 Yes Has radio No 1 Yes Has television No 1 Yes Has refrigerator No 1 Yes Has bicycle No 1 Yes Has motorcycle/scooter No 1 Yes Has car/truck 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 Vynil or asphalt strips 33 Ceramic tiles 34 Cement 35 Carpet 96 Other Main wall material 10 NATURAL 11 No walls 12 Bamboo/Cane/palm/leaf 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/palms/leafs 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Sheet Metal 32 Wood 33 Zinc/Cement fiber 34 Tiles/slate 35 Cement 36 Shingles 96 Other Number of rooms used for sleeping Relationship structure 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) No 1 Yes Share toilet with other households No 1 Yes Type of cooking fuel 1 Electricity 2 Solar energy 3 Liquefied propane gas (LPG)/cooking gas 4 Piped natural gas 5 Biogas 6 Alcohol/ethanol 7 Gasoline/diesel 8 Paraffin/petroleum 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 No 1 Yes Children under 5 slept under mosquito bed net last night 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 No 1 Yes Has watch No 1 Yes Has animal-drawn cart No 1 Yes Has boat with a motor/pinasse No 1 Yes Has a computer No 1 Yes Owns land usable for agriculture No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals No 1 Yes Owns cattle None 95 95 or more 98 Unknown Owns cows/ bulls None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules None 95 95 or more 98 Unknown Owns goats None 95 95 or more 98 Unknown Owns sheep None 95 95 or more 98 Unknown Owns chickens/poultry None 95 95 or more 98 Unknown Owns camels None 95 95 or more 98 Unknown Owns ducks/geeses None 95 95 or more 98 Unknown Owns rabbits None 95 95 or more 98 Unknown NA - Owns CS None 95 95 or more 98 Unknown NA - Owns CS None 95 95 or more 98 Unknown Has bank account 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 Type of cookstove 1 Electric stove 2 Solar cooker 3 Liquefied propane gas (LPG)/cooking gas stove 4 Piped natural gas stove 5 Biogas stove 6 Liquid fuel 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 Paraffin/Petroleum 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 Case Identification Structure/Concession number Has chair in traditional materials No 1 Yes Has cupboard/library No 1 Yes Has portable stove/cooker No 1 Yes Has gas/electric stove No 1 Yes Has improved stove No 1 Yes Has air conditioner No 1 Yes Has access to internet No 1 Yes Has solar panels No 1 Yes Has generator No 1 Yes Has parabolic antenna No 1 Yes Has plow No 1 Yes Has canoe No 1 Yes Has tractor No 1 Yes Has tiller No 1 Yes Has motorized seeder No 1 Yes Has tricycle motorcycle No 1 Yes Has moped/bike No 1 Yes Has motor pump No 1 Yes Used mobile phone for financial transactions 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 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 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 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 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 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) No education 1 Primary 2 Secondary 3 Higher 8 Don't know Case Identification Mosquito Bed Net Designation Number Net observed by interviewer 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 No 1 Yes 8 Don't know Net treatment status 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 insecticide treated nets (LLIN) 11 Dawaplus 2.0 12 Duranet 13 Interceptor G2 14 Olyset net 15 Permanet 2.0 16 Royal sentry 17 Safenet 18 Life net 19 Yorkool ln 26 Other/don't know the brand (LLIN) 96 Other brand (Not LLIN) 98 DK brand Net treated since received 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) No, don't know 1 Yes Number of persons who slept under this net 5 5+ Someone slept under this net last night No 1 Yes 8 Not sure (DK) Line number of person who slept in this net 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 No 1 Yes, campaign LLIN 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 36 11 96 12 98 13 Reason for not using the net 1 Very hot 2 Don't like the shape of the mosquito net 3 Don't like the color of the mosquito net 4 Don't like the size of the mosquito net 5 Don't like the smell of the mosquito net 6 Unable to suspend her 7 Slept outside 8 Regular user didn't sleep here last night 9 No mosquitoes / no malaria 10 Additional mosquito net / kept for later 96 Other Case Identification Index to Household Schedule Type of Mosquito Bed Net(s) person slept under last night 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 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 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 Not pregnant, don't know 1 Pregnant Person slept under an ever-treated net No 1 Yes Person slept under an LLIN net No 1 Yes Line number of parent/caretaker (for malaria testing) 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 NA - Final result of malaria from blood smear test Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database NA - Presence of species: falciparum (Pf) No 1 Yes NA - Presence of species: malariae (Pm) No 1 Yes NA - Presence of species: ovale (Po) No 1 Yes NA - Presence of species: vivax (Pv) No 1 Yes NA - Presence of species: CS No 1 Yes NA - Presence of species: CS No 1 Yes NA - Presence of species: CS No 1 Yes Result of malaria measurement Measured 3 Not present 4 Refused 6 Other NA - Bar code for blood smear sample Result of malaria rapid test Negative 1 Positive 6 Other Fieldworker measurer code for malaria Malaria rapid test result (RDT) Negative 1 Positive 4 Not present 5 Refused 6 Other Child suffers: Prostration No 1 Yes Child suffers: Heart problems No 1 Yes Child suffers: Loss of consciousness No 1 Yes Child suffers: Difficult/rapid breathing No 1 Yes Child suffers: Convulsions No 1 Yes Child suffers: Abnormal bleeding No 1 Yes Child suffers: Jaundice No 1 Yes Child suffers: Dark urines No 1 Yes Anemia level 1 Below 8.0 G/DL, severe anemia 2 8.0 G/DL or above 6 Other Taking ACT given by a doctor/health center to treat the malaria No 1 Yes Accepted medicine for malaria treatment 1 Medicine accepted 2 Medicine refused 6 Other Fieldworker number for malaria medicine Anemia level for children with malaria and symptoms 1 Below 8.0 G/DL, severe anemia 2 8.0 G/DL or above 6 Other Date measured (day) Date measured (month) Date measured (year) 2021 2021 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 Agadez: Urban 2 Agadez: Rural 3 Diffa: Urban 4 Diffa: Rural 5 Dosso: Urban 6 Dosso: Rural 7 Maradi: Urban 8 Maradi: Rural 9 Tahoua: Urban 10 Tahoua: Rural 11 Tillaberi: Urban 12 Tillaberi: Rural 13 Zinder: Urban 14 Zinder: Rural 15 Niamey: Urban 16 Niamey: Rural Stratification used in sample design 1 Agadez: Urban 2 Agadez: Rural 3 Diffa: Urban 4 Diffa: Rural 5 Dosso: Urban 6 Dosso: Rural 7 Maradi: Urban 8 Maradi: Rural 9 Tahoua: Urban 10 Tahoua: Rural 11 Tillaberi: Urban 12 Tillaberi: Rural 13 Zinder: Urban 14 Zinder: Rural 15 Niamey: Urban 16 Niamey: Rural Region 1 Agadez 2 Diffa 3 Dosso 4 Maradi 5 Tahoua 6 Tillaberi 7 Zinder 8 Niamey Type of place of residence 1 Urban 2 Rural NA - De facto place of residence 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 Husband not in household Cluster altitude in meters Household selected for hemoglobin Not selected 1 Selected Language of questionnaire 1 French 2 Haoussa 3 Zerma Language of interview 1 French 2 Haoussa 3 Zerma 4 Tamasheq 5 Fulfulde 6 Kanouri / Toubou 7 Arabic 8 Gourmantchema 96 Other Native language of respondent 1 French 2 Haoussa 3 Zerma 4 Tamasheq 5 Fulfulde 6 Kanouri / Toubou 7 Arabic 8 Gourmantchema 96 Other Translator used No 1 Yes Case Identification Case Identification Region 1 Agadez 2 Diffa 3 Dosso 4 Maradi 5 Tahoua 6 Tillaberi 7 Zinder 8 Niamey Type of place of residence 1 Urban 2 Rural Highest educational level No education 1 Primary 2 Secondary 3 Higher Highest year of education 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 No 1 Yes 7 Not a dejure resident Household has: radio No 1 Yes 7 Not a dejure resident Household has: television No 1 Yes 7 Not a dejure resident Household has: refrigerator No 1 Yes 7 Not a dejure resident Household has: bicycle No 1 Yes 7 Not a dejure resident Household has: motorcycle/scooter No 1 Yes 7 Not a dejure resident Household has: car/truck 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 Vynil 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 Bamboo/Cane/palm/leaf 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/palms/leafs 13 Sod 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 24 Cardboard 30 FINISHED 31 Sheet Metal 32 Wood 33 Zinc/Cement fiber 34 Tiles/slate 35 Cement 36 Shingles 96 Other 97 Not a dejure resident NA - Religion 96 Other NA - Ethnicity Education in single years 97 Inconsistent NA - De facto place of residence 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 Abroad 1 Agadez 2 Diffa 3 Dosso 4 Maradi 5 Tahoua 6 Tillaberi 7 Zinder 8 Niamey 97 Not dejure resident De jure type of place of residence Abroad 1 Urban 2 Rural 7 Not a dejure resident NA - De jure place of residence Capital, large city 1 City 2 Town 3 Countryside 4 Abroad 7 Not a dejure resident Educational attainment 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) No 1 Yes 7 Not a dejure resident Literacy 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 Frequency of reading newspaper or magazine Not at all 1 Less than once a week 2 At least once a week 3 Almost every day Frequency of listening to radio Not at all 1 Less than once a week 2 At least once a week 3 Almost every day Frequency of watching television 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 No 1 Yes 7 Not a dejure resident Type of cooking fuel 1 Electricity 2 Solar energy 3 Liquefied propane gas (LPG)/cooking gas 4 Natural gas 5 Biogas 6 Alcohol/ethanol 7 Gasoline/diesel 8 Paraffin/petroleum 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 No 1 Yes Use of internet Never 1 Yes, last 12 months 2 Yes, before last 12 months 3 Yes, can't establish when Frequency of using internet last month 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 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 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 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 Respondent 1 Father 2 Other relative 3 Someone else 4 Lives elsewhere Completeness of information 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 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 No 1 Yes Child's line number in household 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 No births Births in past year No births Births in month of interview Currently pregnant No or unsure 1 Yes Duration of current pregnancy Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history Birth between last and interview No 1 Yes Births in last three years Case Identification Case Identification Index to Birth History Prenatal: gynecologist/doctor No 1 Yes Prenatal: midwife/nurse No 1 Yes NA - Prenatal: CS health professional No 1 Yes NA - Prenatal: CS health professional No 1 Yes NA - Prenatal: CS health professional No 1 Yes NA - Prenatal: CS health professional No 1 Yes Prenatal: traditional birth attendant No 1 Yes Prenatal: skilled birth attendant/matronne No 1 Yes Prenatal: community/village health worker No 1 Yes NA - Prenatal: CS other person No 1 Yes Prenatal: other No 1 Yes NA - Prenatal: CS other No 1 Yes NA - Prenatal: CS other No 1 Yes Prenatal: no one No: some care 1 Yes: no care Timing of 1st antenatal check (months) 98 Don't know Number of antenatal visits during pregnancy No antenatal visits 98 Don't know During pregnancy took: SP/fansidar for malaria No 1 Yes 8 Don't know NA - During pregnancy took: chloroquine for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: CS drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: other drug for malaria No 1 Yes 8 Don't know NA - During pregnancy took: don't know No 1 Yes: don't know which drug taken 8 Don't know NA - During pregnancy took: no drug for malaria No 1 Yes, took no drug 8 Don't know Antenatal care: respondent's home No 1 Yes Antenatal care: other home No 1 Yes NA - Antenatal care: CS home No 1 Yes NA - Antenatal care: CS home No 1 Yes Antenatal care: government/national hospital No 1 Yes Antenatal care: reference maternity No 1 Yes Antenatal care: regional hospital center/health center mother-child No 1 Yes Antenatal care: district hospital No 1 Yes Antenatal care: integrated health center No 1 Yes Antenatal care: national social security fund (CNSS) No 1 Yes Antenatal care: health unit/box No 1 Yes Antenatal care: other public sector No 1 Yes Antenatal care: private hospital/clinic No 1 Yes Antenatal care: private doctor No 1 Yes Antenatal care: private dispensary No 1 Yes Antenatal care: private ANBEF clinic/center No 1 Yes Antenatal care: other private medical sector No 1 Yes NA - Antenatal care: CS private medical No 1 Yes Antenatal care: NGO hospital/clinic No 1 Yes Antenatal care: other NGO medical sector No 1 Yes NA - Antenatal care: CS other No 1 Yes NA - Antenatal care: CS other No 1 Yes Antenatal care: other No 1 Yes Number of times took fansidar during pregnancy 98 Don't know Source of antimalarial during pregnancy 1 Antenatal visit 2 Another health facility visit 6 Other source Case Identification Case Identification Entries in pregnancy and postnatal care roster Entries in child health roster Entries in hemoglobin roster NA - Women's age in years (from household questionnaire) NA - Under age 18 (from household questionnaire) 1 Under age 18 2 Age 18 or older NA - Line number of parent/caretaker Not in household NA - Read consent statement - hemoglobin 1 Granted 2 Parent/other responsible refused 3 Respondent refused 4 Adult/parent not present 5 Minor not present NA - Hemoglobin level (g/dl - 1 decimal) 994 Not present 995 Refused 996 Other NA - Currently pregnant (from household questionnaire) No/don't know 1 Yes NA - Result of measurement - hemoglobin Measured 3 Not present 4 Refused 6 Other 7 No measurement found in household NA - Hemoglobin level adjusted for altitude and smoking (g/dl - 1 decimal) NA - Anemia level 1 Severe 2 Moderate 3 Mild 4 Not anemic NA - Agrees to referral - anemia No 1 Yes Have mosquito bed net for sleeping (from household questionnaire) No 1 Yes Children under 5 slept under mosquito bed net last night (household questionnair No 1 All children 2 Some children 3 No net in household Respondent slept under mosquito bed net No 1 Yes Record for Last Birth 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 No 1 Yes 8 Don't know NA - Had cough in last two weeks No 1 Yes, last 24 hours 2 Yes, last two weeks 8 Don't know Fever/cough: government/national hospital No 1 Yes Fever/cough: reference maternity No 1 Yes Fever/cough: regional hospital center/health center mother-child No 1 Yes Fever/cough: district hospital No 1 Yes Fever/cough: integrated health center No 1 Yes Fever/cough: national social security fund (CNSS) No 1 Yes Fever/cough: health unit/box No 1 Yes Fever/cough: community relay No 1 Yes Fever/cough: other public sector No 1 Yes Fever/cough: private hospital/clinic No 1 Yes Fever/cough: private pharmacy No 1 Yes Fever/cough: private doctor No 1 Yes Fever/cough: private dispensary No 1 Yes Fever/cough: private ANBEF clinic/center No 1 Yes Fever/cough: other private medical sector No 1 Yes NA - Fever/cough: CS private medical No 1 Yes NA - Fever/cough: CS private medical No 1 Yes NA - Fever/cough: CS private medical No 1 Yes Fever/cough: NGO hospital/clinic No 1 Yes Fever/cough: other NGO medical sector No 1 Yes Fever/cough: Store/market No 1 Yes Fever/cough: traditional practitioner No 1 Yes Fever/cough: pharmacy on floor/itinerant medecine seller No 1 Yes Fever/cough: other No 1 Yes Fever/cough: no treatment No: received treatment 1 Yes: no treatment Fever/cough: medical treatment No 1 Yes Place first sought treatment for fever 10 PUBLIC SECTOR 11 Government/national hospital 12 Reference maternity 13 Regional hospital center/health center mother-child 14 District hospital 15 Integrated health center 16 National social security fund (CNSS) 17 Health unit/box 18 Community relay 19 Other public sector 20 PRIVATE SECTOR 21 Private hospital, clinic 22 Pharmacy 23 Private doctor 24 Private dispensary 25 Private ANBEF clinic/center 26 Other private medical sector 30 OTHER 31 NGO hospital 32 NGO clinic 33 Other NGO medical sector 34 Store 35 Traditional practitioner 36 Pharmacy on floor/itinerant medecine seller 37 Market 96 Other Number of days after fever began sought advice or treatment Same day 98 Don't know Blood taken from child's finger/heel for testing 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 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 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 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 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets NA - Child has fever/cough now 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 No 1 Yes 8 Don't know Fansidar taken for fever No 1 Yes Chloroquine taken for fever No 1 Yes Amodiaquine taken for fever No 1 Yes Quinine taken for fever No 1 Yes Quinine injection/IV taken for fever No 1 Yes Combination with artemisinin taken for fever No 1 Yes Artesunate rectal taken for fever No 1 Yes Artesunate injection/IV taken for fever No 1 Yes NA - CS antimalarial taken for fever No 1 Yes NA - CS antimalarial taken for fever No 1 Yes Other antimalarial taken for fever No 1 Yes Antibiotic pill/syrup taken for fever No 1 Yes Antibiotic injection taken for fever No 1 Yes Aspirin taken for fever No 1 Yes Acetaminophen/paracetamol/panadol taken for fever No 1 Yes Ibuprofen taken for fever No 1 Yes NA - CS other taken for fever No 1 Yes NA - CS other taken for fever No 1 Yes NA - CS other taken for fever No 1 Yes Other taken for fever No 1 Yes Nothing taken and didn't seek treatment for fever/cough No 1 Yes, nothing taken Don't know if or what was taken for fever No 1 Yes, don't know NA - Injection given for fever/convulsion No 1 Yes NA - Suppository given for fever/convulsion No 1 Yes NA - No suppository or injection given for fever/convulsion No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion No 1 Yes NA - Timing of start of fansidar 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 Other source 1 At home 8 Don't know NA - Timing of start of chloroquine 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 Other source 1 At home 8 Don't know NA - Timing of start of amodiaquine 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 Other source 1 At home 8 Don't know NA - Timing of start of quinine 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 Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer No 1 Yes NA - For fever/convulsion: gave tepid sponging No 1 Yes NA - For fever/convulsion: gave herbs No 1 Yes NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: CS No 1 Yes NA - For fever/convulsion: other No 1 Yes NA - For fever/convulsion: gave/did nothing No 1 Yes NA - For fever/convulsion: don't know if something else was done No 1 Yes Timing of start of combination with artemisinin 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 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 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 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 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 Other source 1 At home 8 Don't know NA - Timing of start of other anti-malarial use 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 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup Other source 1 At home 8 Don't know NA - Timing of start of artesunate 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 No 1 Yes Malaria messages were heard/seen: radio No 1 Yes Malaria messages were heard/seen: television No 1 Yes Malaria messages were heard/seen: poster/billboard No 1 Yes Malaria messages were heard/seen: newspaper/magazine No 1 Yes Malaria messages were heard/seen: leaflet/brochure No 1 Yes Malaria messages were heard/seen: healthcare provider No 1 Yes Malaria messages were heard/seen: community health worker No 1 Yes Malaria messages were heard/seen: social media No 1 Yes Malaria messages were heard/seen: community relay No 1 Yes Malaria messages were heard/seen: by word of mouth No 1 Yes NA - Malaria messages were heard/seen: CS No 1 Yes Malaria messages were heard/seen: other No 1 Yes Malaria messages were heard/seen: don't remember No 1 Yes Are there ways to avoid getting malaria No 1 Yes Malaria can be prevented by: sleep under a mosquito net No 1 Yes Malaria can be prevented by: sleep under an insecticide-treated mosquito net No 1 Yes Malaria can be prevented by: use mosquito repellent No 1 Yes Malaria can be prevented by: take preventive medications No 1 Yes Malaria can be prevented by: spray house with insecticide No 1 Yes Malaria can be prevented by: fill in stagnant waters No 1 Yes Malaria can be prevented by: keep surroundings clean No 1 Yes Malaria can be prevented by: put mosquito screen on windows No 1 Yes NA - Malaria can be prevented by: CS No 1 Yes NA - Malaria can be prevented by: CS No 1 Yes NA - Malaria can be prevented by: CS No 1 Yes Malaria can be prevented by: other No 1 Yes Malaria can be prevented by: don't know No 1 Yes Agree/disagree with: people in community get malaria in rainy season Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: when child has fever worry it is malaria Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: getting malaria not a problem as can be treated Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: only weak children can die from malaria Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: sleep under net when there are lots of mosquitoes Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: sleep under net when there are few mosquitoes Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: don't like sleep in a net when is too warm Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: if child has fever good to give medicine available at home Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: people take children to health provider same day or next da Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: people who have nets usually sleep under every night Disagree 1 Agree 8 Don't know/uncertain Case Identification Case Identification Structure/Concession number Ever attended school No 1 Yes Highest educational level No education, preschool 1 Primary 2 Secondary 1st cycle 3 Secondary 2nd cycle 4 Higher Highest year of educational < 1 year completed Professional/vocational or technical training No 1 Yes Number of years achieved for S106A < 1 year completed Frequency of listening to radio Not at all 1 Less often 2 Once a week 3 Almost every day 4 Every day Frequency of watching television Not at all 1 Less often 2 Once a week 3 Almost every day 4 Every day Mobile phone is a smartphone No 1 Yes Number of births 2016-2021 Aucune naissance Know a child that benefited CPS treatment No 1 Yes CPS campaign messages were heard/seen No 1 Yes CPS campaign messages were heard/seen: radio No 1 Yes CPS campaign messages were heard/seen: television No 1 Yes CPS campaign messages were heard/seen: poster/billboard No 1 Yes CPS campaign messages were heard/seen: leaflet/brochure No 1 Yes CPS campaign messages were heard/seen: social mobilizer No 1 Yes CPS campaign messages were heard/seen: community relay No 1 Yes CPS campaign messages were heard/seen: healthcare provider No 1 Yes CPS campaign messages were heard/seen: school No 1 Yes CPS campaign messages were heard/seen: women's associations/groups No 1 Yes CPS campaign messages were heard/seen: by word of mouth No 1 Yes CPS campaign messages were heard/seen: traditional birth attendant No 1 Yes CPS campaign messages were heard/seen: church/mosque No 1 Yes CPS campaign messages were heard/seen: elsewhere No 1 Yes CPS campaign messages were heard/seen: don't remember No 1 Yes Number of months since heard/seen messages on CPS Less than 1 month 95 More than 24 months 98 Not sure Agree/disagree with: CPS treatment is benefic to children, will advise it parent Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: no required specific days to take CPS pills, children finis Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: child with malaria can be treated with CPS Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: health personal available for parents questions on CPS trea Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: CPS causes discomfort or vomiting, don't give it to own chi Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: don't trust drugs such CPS, don't give it to own children Disagree 1 Agree 8 Don't know/uncertain Agree/disagree with: fewer children suffer from malaria in village/neighborhood Disagree 1 Agree 8 Don't know/uncertain Case Identification Case Identification Index to Birth History Antenatal care: private hospital No 1 Yes Antenatal care: private clinic No 1 Yes Antenatal care: NGO hospital No 1 Yes Antenatal care: NGO clinic No 1 Yes Case Identification Case Identification Index to Birth History Respondent told child had malaria No 1 Yes 8 DK Fever/cough: private hospital No 1 Yes Fever/cough: private clinic No 1 Yes Fever/cough: NGO hospital No 1 Yes Fever/cough: NGO clinic No 1 Yes Fever/cough: Store No 1 Yes Fever/cough: Market No 1 Yes Amoxicillin No 1 Yes Cotrimoxazole No 1 Yes Other pill/Syrop No 1 Yes Fieldworker code Country code and phase Fieldworker region of residence 1 Agadez 2 Diffa 3 Dosso 4 Maradi 5 Tahoua 6 Tillaberi 7 Zinder 8 Niamey Fieldworker type of place of residence 1 Capital, large city 2 Small city 3 Countryside Fieldworker age Fieldworker sex 1 Male 2 Female Fieldworker marital status 1 Married 2 Living with partner 3 Widowed 4 Divorced 5 No longer living together/separated 6 Never in union 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 1st cycle 3 Secondary 2nd cycle 4 Higher Highest grade/form/year at that level completed by fieldworker Fieldworker religion 1 Muslim 2 Christian 3 Animist 4 Other religion 5 No religion 96 Other Fieldworker ethnicity 1 Arab 2 Djerma/Sonra� 3 Gourmantch� 4 Haoussa 5 Kanouri/Manga 6 Peulh 7 Touareg 8 Toubou 16 Other Nigerien 21 CEDEAO Country 22 Other African 23 Other nationality Languages spoken by fieldworker English French Haussa Zerma Tamasheq Fulfulde Kanuri/Toubou Gourmantchema Other language No other language Fieldworker's mother tongue/native language 1 Haoussa 2 Zerma 3 Tamasheq 4 Fulfuld� 5 Kanouri/toubou 6 Gourmantch� 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, implementing agency 1 2 Yes, implementing agency 2 3 No Is fieldworker a permanent or temporary employee of agency 1 Permanent 2 Temporary Does fieldworker has any comments 1 Oui 2 Non