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    Home / Central Data Catalog / IPUMS / KEN_2014_DHS_V01_M_V02_A_IPUMS / variable [H]
ipums

Demographic and Health Survey 2014 - IPUMS Subset

Kenya, 2014
Integrated Public Use Microdata Series (IPUMS)
Kenya National Bureau of Statistics and ICF International., Minnesota Population Center
Created on May 14, 2020 Last modified May 14, 2020 Page views 7636 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • KEN2014-B.dat
  • KEN2014-C.dat
  • KEN2014-H.dat
  • KEN2014-M.dat
  • KEN2014-W.dat
CSV 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.].

concept

Concept
var_concept.title Vocabulary
Integrated geography Variables -- TOPICS IPUMS
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