Demographic and Health Surveys
An 'X' indicates the category is available for that sample
| Code | Label |
burun
16
|
|---|---|---|
| 01 | Bubanza | X |
| 02 | Bujumbura Rural | X |
| 03 | Bururi | X |
| 04 | Cankuzo | X |
| 05 | Cibitoke | X |
| 06 | Gitega | X |
| 07 | Karusi | X |
| 08 | Kayanza | X |
| 09 | Kirundo | X |
| 10 | Makamba | X |
| 11 | Muramvya | X |
| 12 | Muyinga | X |
| 13 | Mwaro | X |
| 14 | Ngozi | X |
| 15 | Rutana | X |
| 16 | Ruyigi | X |
| 17 | Bujumbura Mairie | X |
| 18 | Rumonge | X |
Can't find the category you are looking for? Try the Detailed codes
GEO_BI2016 (V101_BI2016) indicates the region of Burundi where the respondent was interviewed. DHS regions in the 2016 Burundi survey are equivalent to divisions.
Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_BI2010_2016, that provides spatially consistent units over time.
A GIS map for GEO_BI2016 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository Boundaries page.
Supported by: National Institutes of Health, USAID, Stat/Transfer, and University of Minnesota.
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