Demographic and Health Survey 2014 - IPUMS Subset
Kenya, 2014
Kenya National Bureau of Statistics and ICF International., Minnesota Population Center
Created on
May 14, 2020
Last modified
May 14, 2020
Page views
5173
Documentation in PDF
Metadata
DDI/XML
JSON
Kenya regions, 1989-2014 [integrated; GIS] (H_GEO_KE1989_2014)
Data file: KEN2014-H.dat
Overview
Type:
Discrete
Decimal:
0
Width:
1
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 8 | Northeastern |
| 7 | Western |
| 6 | Rift Valley |
| 5 | Nyanza |
| 4 | Eastern |
| 3 | Coast |
| 2 | Central |
| 1 | Nairobi |
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.
Description
Definition
GEO_ KE1989_2014 reports the region of Kenya where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.
Labels identify the modern geographic units (provinces) contained in each integrated region. Each sample also has its own non-integrated geography variable.
An integrated GIS map (in shapefile format) for Kenya can be downloaded here [URL omitted from DDI.].
Labels identify the modern geographic units (provinces) contained in each integrated region. Each sample also has its own non-integrated geography variable.
An integrated GIS map (in shapefile format) for Kenya can be downloaded here [URL omitted from DDI.].
concept
Concept
| var_concept.title | Vocabulary |
|---|---|
| Integrated geography Variables -- TOPICS | IPUMS |