RWA_2013_MIS_v01_M DDI_TZA_2017_MIS_v01_M Development Data Group 2018-10-25 Nesstar Publisher Version 01 (October 2018). Metadata is excerpted from "Tanzania Malaria Indicator Survey 2017" Report. Malaria Indicator Survey 2017 TZA_2017_MIS_v01_M National Bureau of Statistics (NBS) Office of the Chief Government Statistician (OCGS) ICF Ministry of Health, Community Development, Gender, Elderly and Children Ministry of Health Nesstar Publisher Government of Tanzania United States Agency for International Development Global Fund United States President’s Malaria Initiative Information about The DHS Program General Inquiries Data and Data Related Resources Malaria Indicator Survey The 2017 Tanzania Malaria Indicator Survey (2017 TMIS) was the second stand-alone malaria indicator survey conducted in the country, following the one implemented in 2011-2012 (2011-12 THMIS). The survey involved a nationally representative sample of 9,724 households from 442 sample clusters. The survey was expected to interview 9,287 women age 15-49 and cover about 7,842 children under age 5. The data dictionary was generated from hierarchical data that was downloaded from the DHS website (http://dhsprogram.com). Tanzania National coverage Sample survey data [ssd] National Bureau of Statistics Computer Assisted Personal Interview [capi] A total of 9,724 households selected for the sample, 9,390 were occupied at the time of fieldwork. Among the occupied households, 9,330 were successfully interviewed, yielding a total household response rate of 99%. In the interviewed households, 10,136 eligible women were identified for individual interviews and 10,018 were successfully interviewed, 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.NSDstat 9724 52 Nesstar 200801 RECH1.NSDstat 47766 8 Nesstar 200801 RECH2.NSDstat 9330 54 Nesstar 200801 RECH3.NSDstat 9724 17 Nesstar 200801 RECH6.NSDstat 8236 28 Nesstar 200801 RECHML.NSDstat 18088 36 Nesstar 200801 RECHMH.NSDstat 47766 36 Nesstar 200801 REC01.NSDstat 10136 40 Nesstar 200801 REC11.NSDstat 10018 39 Nesstar 200801 REC21.NSDstat 8833 20 Nesstar 200801 REC22.NSDstat 10018 22 Nesstar 200801 REC41.NSDstat 5364 45 Nesstar 200801 REC42.NSDstat 10018 9 Nesstar 200801 REC4A.NSDstat 7688 44 Nesstar 200801 REC44.NSDstat 7688 14 Nesstar 200801 REC81.NSDstat 10018 7 Nesstar 200801 RECML.NSDstat 7688 92 Nesstar 200801 REC91.NSDstat 10018 68 Nesstar 200801 FWRECORD.NSDstat Fieldworker record 96 19 Nesstar 200801 Case Identification Country code and phase Cluster number Household number Respondent's line number (answering Household questionnaire) 0 Incomplete household Ultimate area unit Household sample weight (6 decimals) Month of interview Year of interview Date of interview (CMC) Date of interview Century Day Code (CDC) Number of household members Number of eligible women in household NA - Number of eligible men in household Number of de jure members Number of de facto members Number of children 5 and under (de jure) Result of household interview 1 Completed 2 No Household member/no competent member at home 3 Entire Household absent for extended period of time 4 Postponed 5 Refused 6 Dwelling vacant or address not a dwelling 7 Dwelling destroyed 8 Dwelling not found 9 Other Day of interview Number of visits Interviewer identification NA - Keyer identification Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Stratification used in sample design 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Region 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Type of place of residence 1 Urban 2 Rural NA - Place of residence 0 Capital, large city 1 Small city 2 Town 3 Countryside NA - Household selected for male interview 0 Not selected 1 Men's survey 2 Husband's survey NA - Household weight for male subsample (6 decimals) Field supervisor NA - Field editor 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 NA - Household selected for Domestic Violence module 0 Household not selected 1 Household selected Language of questionnaire 1 English 2 Kiswahili 3 Language 3 4 Language 4 5 Language 5 6 Language 6 Language of interview 1 English 2 Kiswahili 3 Language 3 4 Language 4 5 Language 5 6 Language 6 Native language of respondent 1 English 2 Language 2 3 Language 3 4 Language 4 5 Language 5 6 Language 6 Translator used 0 No 1 Yes Time interview started (hhmm - 24 hour clock) Time interview ended (hhmm - 24 hour clock) Length of interview in minutes 95 95+ 96 2+ visits 97 Inconsistent Number of visits for biomarker Day of biomarker visit Month of biomarker visit Year of biomarker visit Date of biomarker (CMC) Date of biomarker Century Day Code (CDC) Case Identification Line number Relationship to head 1 Head 2 Wife or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 15 Brother/sister in law 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 Case Identification Source of drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other Source of non-drinking water 10 PIPED WATER 11 Piped into dwelling 12 Piped to yard/plot 13 Piped to neighbor 14 Public tap/standpipe 20 TUBE WELL WATER 21 Tube well or borehole 30 DUG WELL (OPEN/PROTECTED) 31 Protected well 32 Unprotected well 40 SURFACE FROM SPRING 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 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/ washable 23 Pit latrine without slab/open pit 24 Pit latrine with slab/non washable 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/concrete 35 Carpet 96 Other Main wall material 10 NATURAL 11 No wall 12 Grass 13 Cane/palm/trunks/bamboo 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Wood timber 30 FINISHED 31 Cement/concrete 32 Stone with lime/cement 33 Sun-dried brick/mud brick 34 Baked bricks 35 Cement blocks 96 Other Main roof material 10 NATURAL 11 No roof 12 Grass/thatch/palm leaf/mud 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 30 FINISHED 31 Iron sheet 32 Concrete 33 Tiles 96 Other Number of rooms used for sleeping Relationship structure 0 No adults 1 One adult 2 Two adults, opposite sex 3 Two adults, same sex 4 Three+ related adults 5 Unrelated adults Line number of head of household Sex of head of household 1 Male 2 Female Age of head of household 97 97+ 98 Don't know Has telephone (land-line) 0 No 1 Yes Share toilet with other households 0 No 1 Yes Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other Has mosquito bed net for sleeping 0 No 1 Yes Children under 5 slept under mosquito bed net last night 0 No 1 All children 2 Some children 3 No net in household Location of source for water 1 In own dwelling 2 In own yard/plot 3 Elsewhere Number of households sharing toilet 95 10 or more households 98 Don't know Has mobile telephone 0 No 1 Yes Has watch 0 No 1 Yes Has animal-drawn cart 0 No 1 Yes Has boat with a motor 0 No 1 Yes Has a computer 0 No 1 Yes Owns land usable for agriculture 0 No 1 Yes Hectares of agricultural land (1 decimal) 950 95 or more 998 Unknown Owns livestock, herds or farm animals 0 No 1 Yes Owns cattle 0 None 95 95 or more 98 Unknown Owns cows/ bulls 0 None 95 95 or more 98 Unknown Owns horses/ donkeys/ mules 0 None 95 95 or more 98 Unknown Owns goats 0 None 95 95 or more 98 Unknown Owns sheep 0 None 95 95 or more 98 Unknown Owns chickens/poultry 0 None 95 95 or more 98 Unknown Owns pigs 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 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 Household has: battery 0 No 1 Yes Household has: iron 0 No 1 Yes Eaves of the house 11 All eaves closed 12 All eaves open 13 Partially closed Material external windows: glass 0 No 1 Yes: glass Material external windows: bags 0 No 1 Yes: bags Material external windows: wood 0 No 1 Yes: wood Material external windows: iron/metal 0 No 1 Yes: iron metal Material external windows: screens 0 No 1 Yes: screens Material external windows: no window 0 No 1 Yes: no window Material external windows: other 0 No 1 Yes: other External windows 11 All windows screened 12 All windows not screened 13 Some windows screened 14 No window at all Screening on external windows 11 Screened windows wire mesh 12 Screened windows old bednet 13 No window at all 96 Other Tanzania mainland / Zanzibar 1 Mainland 2 Mainland-urban 3 Mainland-rural 4 Zanzibar 5 Unguja 6 Pemba Zone 1 Western 2 Northern 3 Central 4 Southern Highlands 5 Southern 6 Southern West Highlands 7 Lake 8 Eastern 9 Zanzibar Mainland 1 Mainland - urban 2 Mainland - rural 3 Zanzibar Zanzibar 1 Zanzibar - Unguja 2 Zanzibar - Pemba 3 Mainland 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 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 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 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 / pre-primary 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 incomplete 2 Primary complete 3 Secondary incomplete 4 Secondary complete 5 Higher 8 Don't know 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 10 Long-lasting insecticide treated nets (LLIN) 11 PermaNet 12 Olyset 13 Netprotect 14 Duranet 16 Other/don't know brand 20 Pretreated net 96 Other brand 98 DK brand Net treated since receiving 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 (DK) Line number of person who slept in this net 0 No one Line number of person who slept in this net Line number of person who slept in this net Line number of person who slept in this net NA - Line number of person who slept in this net Obtained net from campaign, antenatal or immunization visit 0 No 1 Yes, distribution campaign 2 Yes, antenatal care 3 Yes, immunization visit 4 Yes, SNP 5 Yes, Shehia coupon Place where net was obtained 10 Government health facility 20 Private health facility 30 Other sources 31 Pharmacy 32 Shop/market 33 CHW 34 Religious institution 35 School 96 Other 98 Don't know Observed color of mosquito net 1 Solid Blue 2 Solid White 3 Blue and White Striped 4 Green 6 Other Paid for net 0 No 1 Yes TSHS paid for net Reason nobody slept under net: no mosquitos 0 No 1 Yes Reason nobody slept under net: no malaria now 0 No 1 Yes Reason nobody slept under net: too hot 0 No 1 Yes Reason nobody slept under net: don't like smell 0 No 1 Yes Reason nobody slept under net: feel closed in/afraid 0 No 1 Yes Reason nobody slept under net: net too old/torn 0 No 1 Yes Reason nobody slept under net: net too dirty 0 No 1 Yes Reason nobody slept under net: net not available last night/net being washed 0 No 1 Yes Reason nobody slept under net: usual user(s) did not sleep here last night 0 No 1 Yes Reason nobody slept under net: net too small 0 No 1 Yes Reason nobody slept under net: saving net for later 0 No 1 Yes Reason nobody slept under net: no longer kills/repels mosquitos 0 No 1 Yes Reason nobody slept under net:: other 0 No 1 Yes Reason nobody slept under net: don't know 0 No 1 Yes 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 NA - 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 6 Other NA - Final result of malaria from blood smear test 0 Negative 1 Positive 6 Test undetermined 7 Sample not found in lab database NA - Presence of species: falciparum (Pf) 0 No 1 Yes NA - Presence of species: malariae (Pm) 0 No 1 Yes NA - Presence of species: ovale (Po) 0 No 1 Yes NA - 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 NA - Bar code for blood smear sample Result of malaria rapid test 0 Negative 1 Positive Fieldworker measurer code for malaria Illness or symptoms: extreme weakness 0 No 1 Yes Illness or symptoms: heart problems 0 No 1 Yes Illness or symptoms: loss of consciousness 0 No 1 Yes Illness or symptoms: rapid breathing 0 No 1 Yes Illness or symptoms: seizures 0 No 1 Yes 0 No 1 Yes Illness or symptoms: jaundice or yellow skin 0 No 1 Yes Illness or symptoms: dark urine 0 No 1 Yes Taken ACT for malaria treatment in the past two weeks 0 No 1 Yes Accepted medicine 1 Accepted medicine 2 Refused 6 Other 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 Ever-married sample 0 All woman sample 1 Ever married sample Primary sampling unit Sample strata for sampling errors 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Stratification used in sample design 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Region 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba 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 Kiswahili Language of interview 1 English 2 Kiswahili Native language of respondent 1 English 2 Kiswahili Translator used 0 No 1 Yes Case Identification Case Identification Region 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba Type of place of residence 1 Urban 2 Rural Highest educational level 0 No education 1 Primary 2 Secondary 3 Higher 8 Don't know 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 WATER 41 Protected spring 42 Unprotected spring 43 River/dam/lake/ponds/stream/canal/irrigation channel 51 Rainwater 61 Tanker truck 62 Cart with small tank 71 Bottled water 96 Other 97 Not a dejure resident Time to get to water source 996 On premises 997 Not a dejure resident 998 Don't know Type of toilet facility 10 FLUSH TOILET 11 Flush to piped sewer system 12 Flush to septic tank 13 Flush to pit latrine 14 Flush to somewhere else 15 Flush, don't know where 20 PIT TOILET LATRINE 21 Ventilated Improved Pit latrine (VIP) 22 Pit latrine with slab/washable 23 Pit latrine without slab/open pit 24 Pit latrine with slab/non washable 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/concrete 35 Carpet 96 Other 97 Not a dejure resident Main wall material 10 NATURAL 11 No wall 12 Grass 13 Cane/palm/trunks/bamboo 20 RUDIMENTARY 21 Poles with mud 22 Stone with mud 23 Wood timber 30 FINISHED 31 Cement/concrete 32 Stone with lime/cement 33 Sun-dried brick/mud brick 34 Baked bricks 35 Cement blocks 96 Other 97 Main roof material 10 NATURAL 11 No roof 12 Grass/thatch/palm leaf/mud 20 RUDIMENTARY 21 Rustic mat 22 Palm/bamboo 23 Wood planks 30 FINISHED 31 Iron sheet 32 Concrete 33 Tiles 96 Other 97 Not a dejure resident Education in single years 97 Inconsistent 98 Don't know Usual resident or visitor 1 Usual resident 2 Visitor Number of household members (listed) Number of children 5 and under in household (de jure) Number of eligible women in household (de facto) De jure region of residence 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba 97 Not a dejure resident De jure type of place of residence 0 Abroad 1 Urban 2 Rural 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 or husband 3 Son/daughter 4 Son/daughter-in-law 5 Grandchild 6 Parent 7 Parent-in-law 8 Brother/sister 9 Co-spouse 10 Other relative 11 Adopted/foster child 12 Not related 13 Niece/nephew by blood 14 Niece/nephew by marriage 15 Brother/sister in law 98 Don't know Sex of household head 1 Male 2 Female Age of household head 97 97+ 98 Don't know Household has: telephone (land-line) 0 No 1 Yes 7 Not a dejure resident Literacy 0 Cannot read at all 1 Able to read only parts of sentence 2 Able to read whole sentence 3 No card with required language 4 Blind/visually impaired Toilet facilities shared with other households 0 No 1 Yes 7 Not a dejure resident Type of cooking fuel 1 Electricity 2 LPG 3 Natural gas 4 Biogas 5 Kerosene 6 Coal, lignite 7 Charcoal 8 Wood 9 Straw/shrubs/grass 10 Agricultural crop 11 Animal dung 95 No food cooked in house 96 Other 97 Not a dejure resident Wealth index combined 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score combined (5 decimals) Wealth index for urban/rural 1 Poorest 2 Poorer 3 Middle 4 Richer 5 Richest Wealth index factor score for urban/rural (5 decimals) Type of mosquito bed net(s) slept under last night 0 No net 1 Only treated nets 2 Both treated and untreated nets 3 Only untreated nets Case Identification Case Identification Birth column number Birth order number Child is twin 0 Single birth 1 1st of multiple 2 2nd of multiple 3 3rd of multiple 4 4th of multiple 5 5th of multiple Month of birth Year of birth Date of birth (CMC) Sex of child 1 Male 2 Female Child is alive 0 No 1 Yes 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) 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 Number of living children Living children + current pregnancy Living children + current pregnancy (grouped) 6 6+ Last birth to interview (months) Completeness of current pregnancy information 7 Month - exact date 8 None - date placed Entries in birth history Birth between last and interview 0 No 1 Yes Births in last three years Case Identification Case Identification Index to Birth History Prenatal: doctor 0 No 1 Yes Prenatal: nurse/midwife 0 No 1 Yes Prenatal: auxiliary midwife 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes NA - Prenatal: CS health professional 0 No 1 Yes Prenatal: traditional birth attendant 0 No 1 Yes Prenatal: community/village heath worker 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: CS other person 0 No 1 Yes NA - Prenatal: other 0 No 1 Yes 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 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 Received bed net at antenatal care visit during pregnancy 0 No 1 Yes 8 Don't know Bought SP/Fansidar or given for free 1 Bought 2 Free 8 Don't know Amount paid for SP/Fansidar 99999998 Don't know Way of payment 1 Cash (out of pocket) 2 Cash and health insurance (eg.NHIF, NSSF, CHF, etc) 3 4 Cash and health insurance Reason not taking SP/Fansidar: none available at facility 0 No 1 Yes: none available at facility Reason not taking SP/Fansidar: provider did not offer medicine 0 No 1 Yes: provider did not offer medicine Reason not taking SP/Fansidar: provider refused to give medicine 0 No 1 Yes: provider refused to give medicine Reason not taking SP/Fansidar: no water at facility to take with med 0 No 1 Yes: no water at facility to take with med Reason not taking SP/Fansidar: no cup at facility to drink water 0 No 1 Yes: no cup at facility to drink water 0 No 1 Yes: afraid of effects on health Reason not taking SP/Fansidar: afraid of effects on baby's health 0 No 1 Yes: afraid of effects on baby's health Reason not taking SP/Fansidar: had not eaten before 0 No 1 Yes: had not eaten before Reason not taking SP/Fansidar: afraid of vomiting 0 No 1 Yes: afraid of vomiting Reason not taking SP/Fansidar: I didn't have money to pay the SP 0 No 1 Yes: no money to pay the SP Reason not taking SP/Fansidar: taking SEPTRIM 0 No 1 Yes: taking septrim Reason not taking SP/Fansidar: other 0 No 1 Yes: other reason Reason not taking SP/Fansidar: don't know 0 No 1 Yes: don't know 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: public zonal/referral/specialized hospital 0 No 1 Yes Fever/cough: public referral regional hospital 0 No 1 Yes Fever/cough: public regional hospital 0 No 1 Yes Fever/cough: public district hospital 0 No 1 Yes Fever/cough: public health centre 0 No 1 Yes Fever/cough: public dispensary 0 No 1 Yes Fever/cough: public clinic 0 No 1 Yes Fever/cough: public CHW 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 NA - Fever/cough: private doctor 0 No 1 Yes Fever/cough: private specialized hospital 0 No 1 Yes Fever/cough: private health centre 0 No 1 Yes Fever/cough: private dispensary 0 No 1 Yes Fever/cough: private clinic 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: ADDO 0 No 1 Yes Fever/cough: NGO 0 No 1 Yes Fever/cough: Religious/voluntary combined 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes NA - Fever/cough: CS other sector 0 No 1 Yes Fever/cough: other 0 No 1 Yes Fever/cough: no treatment 0 No: received treatment 1 Yes: no treatment Fever/cough: medical treatment 0 No 1 Yes Place first sought treatment for fever 10 PUBLIC SECTOR 11 Zonal referral regional hospital 12 Referral regional hospital 13 Regional hospital 14 District hospital 15 Public health centre 16 Public dispensary 17 Public clinic 18 CHW 20 PRIVATE SECTOR 21 Private hospital 22 Pharmacy 23 Private doctor 24 Private specialized hospital 25 Private health centre 26 Private dispensary 27 Private clinic 30 OTHER 31 Rel. vol. specialized hospital 32 Rel. vol. district hospital 33 Rel. vol. hospital 34 Rel. vol. health centre 35 Rel. vol. dispensary 36 Rel. vol. clinic 37 ADDO 38 NGO 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 Sought advice or treatment for illness from any source 0 No 1 Yes Fever/cough: religious voluntary referral specialized hospital 0 No 1 Yes Fever/cough: religious.voluntary district hospital 0 No 1 Yes Fever/cough: religious voluntary hospital 0 No 1 Yes Fever/cough: religious voluntary health centre 0 No 1 Yes Fever/cough: religious voluntary dispensary 0 No 1 Yes Fever/cough: rel.vol. clinic 0 No 1 Yes Paid for advice/treatment 0 No 1 Yes Amount paid 99999998 Don't know Way of payment 1 Cash (out of pocket) 2 Social health insurance scheme (eg.NHIF, NSSF, CHF, etc) 3 4 Cash and health insurance 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 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 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 Number of times took fansidar during pregnancy 98 Don't know Source of antimalarial during pregnancy 1 Antenatal visit 2 Another facility visit 6 Other source NA - Child has fever/cough now 0 No 1 Yes, fever only 2 Yes, cough only 3 Both fever and cough 8 Don't know NA - Child has had convulsions in last 2 weeks 0 No 1 Yes 8 Don't know 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 NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes NA - CS other taken for fever 0 No 1 Yes Other taken for fever 0 No 1 Yes Nothing taken and didn't seek treatment for fever/cough 0 No 1 Yes, nothing taken Don't know if or what was taken for fever 0 No 1 Yes, don't know NA - Injection given for fever/convulsion*** 0 No 1 Yes NA - Suppository given for fever/convulsion*** 0 No 1 Yes NA - No suppository or injection given for fever/convulsion*** 0 No 1 Yes NA - Don't know if suppository or injection given for fever/convulsion*** 0 No 1 Yes 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 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 Timing of start of amodiaquine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took amodiaquine 7 7+ days 8 Don't know NA - First source for amodiaquine 0 Other source 1 At home 8 Don't know Timing of start of quinine 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took quinine 7 7+ days 8 Don't know NA - First source for quinine 0 Other source 1 At home 8 Don't know NA - For fever/convulsion: consulted traditional healer*** 0 No 1 Yes NA - For fever/convulsion: gave tepid sponging*** 0 No 1 Yes NA - For fever/convulsion: gave herbs*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: CS*** 0 No 1 Yes NA - For fever/convulsion: other*** 0 No 1 Yes NA - For fever/convulsion: gave/did nothing*** 0 No 1 Yes NA - For fever/convulsion: don't know if something else was done*** 0 No 1 Yes Timing of start of combination with artemisinin 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took combination with artemisinin 7 7+ days 8 Don't know NA - First source for combination with artemisinin 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know NA - Timing of start of CS antimalarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took CS antimalarial 7 7+ days 8 Don't know NA - First source for CS antimalarial 0 Other source 1 At home 8 Don't know Timing of start of other anti-malarial use 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know NA - Number of days child took other anti-malarial 7 7+ days 8 Don't know NA - First source for other anti-malarial 0 Other source 1 At home 8 Don't know NA - First source for antibiotic pill/syrup 0 Other source 1 At home 8 Don't know Timing of start of artesunate 0 Same day as fever/cough 1 Next day 2 2 days after 3 3 days after 4 4+ days after 8 Don't know Place for drugs: gov./parast. zonal referral specialized hospital 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. referral regional hospital 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. regional hospital 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. district hospital 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. health centre 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. dispensary 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. clinic 0 No 1 Yes 8 Don't know Place for drugs: gov./parast. CHW 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. referral specialized hospital 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. district hospital 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. hospital 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. health centre 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. dispensary 0 No 1 Yes 8 Don't know Place for drugs: rel./volunt. clinic 0 No 1 Yes 8 Don't know Place for drugs: priv. specialized hospital 0 No 1 Yes 8 Don't know Place for drugs: priv. hospital 0 No 1 Yes 8 Don't know Place for drugs: priv. health centre 0 No 1 Yes 8 Don't know Place for drugs: priv. dispensary 0 No 1 Yes 8 Don't know Place for drugs: priv. clinic 0 No 1 Yes 8 Don't know Place for drugs: pharmacy 0 No 1 Yes 8 Don't know Place for drugs: ADDO 0 No 1 Yes 8 Don't know Place for drugs: NGO 0 No 1 Yes 8 Don't know Place for drugs: other 0 No 1 Yes 8 Don't know Case Identification Case Identification Ever attended school 0 No 1 Yes Highest level of school attended 0 Pre-mrimary 1 Primary 2 Post primary training 3 Secondary 'O' level 4 Post secondary 'O' level training 5 Secondary 'A' level 6 Post secondary 'A' level training 7 University 8 Don't Know Highest grade completed at that level 0 Less than one year In past 6 month heard or seen messages about malaria 0 No 1 Yes Malaria message: On radio 0 No 1 Yes Malaria message: On television 0 No 1 Yes Malaria message: On poster or billboard 0 No 1 Yes Malaria message: From a community health worker 0 No 1 Yes Malaria message: At a community event 0 No 1 Yes Malaria message: Anywhere else 0 No 1 Yes Household owns: battery 0 No 1 Yes 7 Not a dejure resident Household owns iron 0 No 1 Yes 7 Not a dejure resident Most serious health problem in your community 1 HIV/AIDS 2 Tuberculosis 3 Malaria 4 Malnutrition 5 Diabetes 6 Cancer 7 Flu 8 Road traffic accidents 9 Diarrhea 10 Heart disease 11 UTI 96 Other 98 Don't know Malaria symptoms in young child: fever 0 No 1 Yes Malaria symptoms in young child: feeling cold 0 No 1 Yes Malaria symptoms in young child: chills 0 No 1 Yes Malaria symptoms in young child: perspiration / sweating 0 No 1 Yes Malaria symptoms in young child: headache 0 No 1 Yes Malaria symptoms in young child: body aches 0 No 1 Yes Malaria symptoms in young child: poort appetite 0 No 1 Yes Malaria symptoms in young child: vomiting 0 No 1 Yes Malaria symptoms in young child: diarrhea 0 No 1 Yes Malaria symptoms in young child: weakness 0 No 1 Yes Malaria symptoms in young child: coughing 0 No 1 Yes Malaria symptoms in young child: convulsions 0 No 1 Yes Malaria symptoms in young child: other 0 No 1 Yes Malaria symptoms in young child: does not know any 0 No 1 Yes Ways to avoid getting malaria: sleep under mosquito net 0 No 1 Yes: sleep under mosquito net Ways to avoid getting malaria: use mosquito coils 0 No 1 Yes: use mosquito coil Ways to avoid getting malaria: use isecticide spray 0 No 1 Yes: use isecticide spray Ways to avoid getting malaria: indoor residual spraying (IRS) 0 No 1 Indoor residual spraying (IRS) Ways to avoid getting malaria: keep doors/windows closed 0 No 1 Yes: keep doors/windows closed Ways to avoid getting malaria: use insect repellant 0 No 1 Yes: use insect repellent Ways to avoid getting malaria: keep surroundings clean 0 No 1 Yes: keep surroundings clean Ways to avoid getting malaria: cut the grass 0 No 1 Yes: cut the grass Ways to avoid getting malaria: remove standing water 0 No 1 Yes: remove standing water Ways to avoid getting malaria: intermittend preventive treatment (IPTP) 0 No 1 Yes: intremittent preventive treatment (IPTP) Ways to avoid getting malaria: house screening 0 No 1 Yes: house screening Ways to avoid getting malaria: other 0 No 1 Yes: other Ways to avoid getting malaria: no way to avoid getting malaria 0 No 1 Yes: does not know any specific way Ways to avoid getting malaria: does not know any way to prevent malaria Can obtain ACTs at nearest health facility/pharmacy 0 No 1 Yes 8 Don't know Heard malaria prevention messages 0 No 1 Yes Heard malaria treatment messages 0 No 1 Yes Heard or seen phrase 'Malaria Haikubaliki' (Mainland only) 0 No 1 Yes Heard or seen phrase 'Sio kila homa ni malaria' (Zanzibar only) 0 No 1 Yes Heard or seen phrase 'Maliza Malaria' 0 No 1 Yes Source malaria message: radio 0 No 1 Yes Source malaria message: billboard 0 No 1 Yes Source malaria message: poster 0 No 1 Yes Source malaria message: T-shirt 0 No 1 Yes Source malaria message: leaflet/fact sheet/brochure 0 No 1 Yes Source malaria message: television 0 No 1 Yes Source malaria message: mobile video UN 0 No 1 Yes Source malaria message: school 0 No 1 Yes Source malaria message: health care worker 0 No 1 Yes Source malaria message: community event/presentation 0 No 1 Yes Source malaria message: friend/neighbor/family member 0 No 1 Yes Source malaria message: other 0 No 1 Yes Source malaria message: don't know 0 No 1 Yes Visited by a health worker and talked about malaria in past 6 months 0 No 1 Yes Can easily protect myself and my children from malaria 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 8 Don't know/uncertain Can ensure my children sleep under a treated net every night 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 8 Don't know/uncertain Can easily hang my children's mosquito net 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 8 Don't know/uncertain Important to sleep under a net every night 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 8 Don't know/uncertain Pregnant women are at high risk of getting malaria 1 Strongly agree 2 Somewhat agree 3 Somewhat disagree 4 Strongly disagree 8 Don't know/uncertain Fieldworker code Country code and phase Fieldworker region of residence 1 Dodoma 2 Arusha 3 Kilimanjaro 4 Tanga 5 Morogoro 6 Pwani 7 Dar es Salaam 8 Lindi 9 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 22 Njombe 23 Katavi 24 Simiyu 25 Geita 26 Songwe 51 Kaskazini Unguja 52 Kusini Unguja 53 Mjini Magharibi 54 Kaskazini Pemba 55 Kusini Pemba 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 0 Pre-mrimary 1 Primary 2 Post primary training 3 Secondary 'O' level 4 Post secondary 'O' level training 5 Secondary 'A' level 6 Post secondary 'A' level training 7 University 8 Don't Know Highest grade/form/year at that level completed by fieldworker 0 Less than one year Fieldworker religion Fieldworker ethnicity Fieldworker mother's tongue/native language 1 KISWAHILI 2 ENGLISH 96 OTHER Other languages spoken by fieldworker Have fieldworker ever worked on TZMIS 1 Yes 2 No Have fieldworker ever worked on any other survey ( no MIS ) 1 Yes 2 No Was fieldworker working for agency at the time employed for MIS 1 YES, NBS 2 YES,MOH 3 No Is fieldworker permanent or te temporary employed by agency 1 Permanent 2 Temporary