Demographic and Health Survey and Malaria Indicator Survey 2015-2016
Tanzania, 2015 - 2016
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Reference ID
TZA_2015_DHS-MIS_v01_M
Producer(s)
National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS)
Collection(s)
Metadata
Created on
Dec 16, 2016
Last modified
Oct 01, 2019
Page views
209427
Downloads
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- Data files
- RECH0
- RECH1
- RECH2
- RECH3
- RECH4
- RECH5
- RECH5S
- RECH6
- RECH6S
- RECH7
- RECH8
- RECHMH
- RECHML
- RECHML2
- REC01
- REC4A
- REC11
- REC21
- REC22
- REC31
- REC32
- REC41
- REC42
- REC43
- REC44
- REC51
- REC61
- REC71
- REC75
- REC80
- REC81
- REC82
- REC83
- REC84
- REC91
- REC92
- REC94
- REC95
- REC97
- RECDV
- RECG1
- RECG2
- RECML
- MREC01
- MREC11
- MREC22
- MREC31
- MREC32
- MREC41
- MREC51
- MREC61
- MREC71
- MREC75
- MREC80
- MREC91
- MREC92
Stratification used in sample design (v023)
Data file: REC01
Overview
Type:
Discrete
Decimal:
0
Start:
86
End:
87
Width:
2
Range:
1 - 59
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Dodoma rural |
| 2 | Dodoma urban |
| 3 | Arusha rural |
| 4 | Arusha urban |
| 5 | Kilimanjaro rural |
| 6 | Kilimanjaro urban |
| 7 | Tanga rural |
| 8 | Tanga urban |
| 9 | Morogoro rural |
| 10 | Morogoro urban |
| 11 | Pwani rural |
| 12 | Pwani urban |
| 13 | Dar es Salaam |
| 14 | Lindi rural |
| 15 | Lindi urban |
| 16 | Mtwara rural |
| 17 | Mtwara urban |
| 18 | Ruvuma rural |
| 19 | Ruvuma urban |
| 20 | Iringa rural |
| 21 | Iringa urban |
| 22 | Mbeya rural |
| 23 | Mbeya urban |
| 24 | Singida rural |
| 25 | Singida urban |
| 26 | Tabora rural |
| 27 | Tabora urban |
| 28 | Rukwa rural |
| 29 | Rukwa urban |
| 30 | Kigoma rural |
| 31 | Kigoma urban |
| 32 | Shinyanga rural |
| 33 | Shinyanga urban |
| 34 | Kagera rural |
| 35 | Kagera urban |
| 36 | Mwanza rural |
| 37 | Mwanza urban |
| 38 | Mara rural |
| 39 | Mara urban |
| 40 | Manyara rural |
| 41 | Manyara urban |
| 42 | Njombe rural |
| 43 | Njombe urban |
| 44 | Katavi rural |
| 45 | Katavi urban |
| 46 | Simiyu rural |
| 47 | Simiyu urban |
| 48 | Geita rural |
| 49 | Geita urban |
| 50 | Kaskazini Unguja rural |
| 51 | Kaskazini Unguja urban |
| 52 | Kusini Unguja rural |
| 53 | Mjini Magharibi rural |
| 54 | Mjini Magharibi urban |
| 55 | Kusini Unguja urban |
| 56 | Kaskazini Pemba rural |
| 57 | Kaskazini Pemba urban |
| 58 | Kusini Pemba rural |
| 59 | Kusini Pemba urban |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Others
Notes
Sample domain defines the basic geographic units within which the sample was designed. For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.