Troisième Enquête Démographique et de Santé 2016-2017
Burundi, 2016 - 2017
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Reference ID
BDI_2016_DHS_v01_M
Producer(s)
Institut de Statistiques et d’Études Économiques du Burundi (ISTEEBU)
Metadata
Created on
Apr 12, 2018
Last modified
May 13, 2020
Page views
191569
Downloads
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- Data files
- RECH0
- RECH1
- RECH2
- RECH3
- RECH4
- RECH5
- RECH6
- RECHMA
- RECHMH
- RECHML
- REC01
- REC11
- REC21
- REC22
- REC31
- REC32
- REC41
- REC42
- REC43
- REC4A
- REC44
- REC51
- REC61
- REC71
- REC75
- REC80
- REC81
- REC82
- REC83
- REC84
- RECML
- RECDV
- REC91
- REC94
- REC95
- MREC01
- MREC11
- MREC22
- MREC31
- MREC32
- MREC41
- MREC51
- MREC61
- MREC71
- MREC75
- MREC80
- MREC91
- MRECDV
- FWRECORD
Stratification used in sample design (v023)
Data file: REC01
Overview
Type:
Discrete
Decimal:
0
Start:
87
End:
88
Width:
2
Range:
1 - 35
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Bubanza - urban |
| 2 | Bubanza - rural |
| 3 | Bujumbura rural - urban |
| 4 | Bujumbura rural - rural |
| 5 | Bururi - urban |
| 6 | Bururi - rural |
| 7 | Cankuzo - urban |
| 8 | Cankuzo - rural |
| 9 | Cibitoke - urban |
| 10 | Cibitoke - rural |
| 11 | Gitega - urban |
| 12 | Gitega - rural |
| 13 | Karusi - urban |
| 14 | Karusi - rural |
| 15 | Kayanza - urban |
| 16 | Kayanza - rural |
| 17 | Kirundo - urban |
| 18 | Kirundo - rural |
| 19 | Makamba - urban |
| 20 | Makamba - rural |
| 21 | Muramvya - urban |
| 22 | Muramvya - rural |
| 23 | Muyinga - urban |
| 24 | Muyinga - rural |
| 25 | Mwaro - urban |
| 26 | Mwaro - rural |
| 27 | Ngozi - urban |
| 28 | Ngozi - rural |
| 29 | Rutana - urban |
| 30 | Rutana - rural |
| 31 | Ruyigi - urban |
| 32 | Ruyigi - rural |
| 33 | Bujumbura mairie - urban |
| 34 | Rumonge - urban |
| 35 | Rumonge - rural |
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.