Demographic and Health Survey 2014 - IPUMS Subset
Kenya, 2014
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Reference ID
KEN_2014_DHS_v01_M_v02_A_IPUMS
Producer(s)
Kenya National Bureau of Statistics and ICF International., Minnesota Population Center
Collection(s)
Metadata
Created on
Aug 15, 2018
Last modified
May 14, 2020
Page views
126139
Kenya counties, 2014 [GIS] (B_GEOALT_KE2014)
Data file: KEN2014-B.dat
Overview
Type:
Discrete
Decimal:
0
Start:
241
End:
243
Width:
3
Range:
-
Format:
Numeric
Questions and instructions
Literal question
IDENTIFICATION
COUNTRY ____________
DISTRICT ____________
LOCATION/TOWN ____________
SUBLOCATION ____________
NASSEP CLUSTER NUMBER ____________
KDHS CLUSTER NUMBER ____________
HOUSEHOLD NUMBER ____________
NAME OF HOUSEHOLD HEAD ____________
NAME AND LINE NUMBER OF WOMAN ____________
CHECK IN 101A IN HOUSEHOLD QUESTIONNAIRE: IS WOMAN SELECTED FOR SECTION 14?
YES 1
NO 2
COUNTRY ____________
DISTRICT ____________
LOCATION/TOWN ____________
SUBLOCATION ____________
NASSEP CLUSTER NUMBER ____________
KDHS CLUSTER NUMBER ____________
HOUSEHOLD NUMBER ____________
NAME OF HOUSEHOLD HEAD ____________
NAME AND LINE NUMBER OF WOMAN ____________
CHECK IN 101A IN HOUSEHOLD QUESTIONNAIRE: IS WOMAN SELECTED FOR SECTION 14?
YES 1
NO 2
Categories
| Value | Category |
|---|---|
| 804 | Busia |
| 803 | Bungoma |
| 802 | Vihiga |
| 801 | Kakamega |
| 714 | Bomet |
| 713 | Kericho |
| 712 | Kajiado |
| 711 | Narok |
| 710 | Nakuru |
| 709 | Laikipia |
| 708 | Nandi |
| 707 | Elgeyo Marak |
| 706 | Uasin Gishu |
| 705 | Baringo |
| 704 | Trans-Nzoia |
| 703 | Samburu |
| 702 | West Pokot |
| 701 | Turkana |
| 606 | Nyamira |
| 605 | Kisii |
| 604 | Homa Bay |
| 603 | Migori |
| 602 | Kisumu |
| 601 | Siaya |
| 503 | Mandera |
| 502 | Wajir |
| 501 | Garissa |
| 408 | Makueni |
| 407 | Machakos |
| 406 | Kitui |
| 405 | Embu |
| 404 | Tharaka |
| 403 | Meru |
| 402 | Isiolo |
| 401 | Marsabit |
| 306 | Taita Taveta |
| 305 | Lamu |
| 304 | Tana River |
| 303 | Kilifi |
| 302 | Kwale |
| 301 | Mombasa |
| 205 | Kiambu |
| 204 | Muranga |
| 203 | Kirinyaga |
| 202 | Nyeri |
| 201 | Nyandarua |
| 101 | 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
GEOALT_KE2014 indicates the region of Kenya where the respondent was interviewed. DHS regions in the 2014 Kenya survey are equivalent to districts.
Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_KE1989_2014, that provides spatially consistent units over time. Lesser geographic detail for the Kenya 2014 sample can be found in GEO_KE2014.
Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_KE1989_2014, that provides spatially consistent units over time. Lesser geographic detail for the Kenya 2014 sample can be found in GEO_KE2014.
concept
Concept
| var_concept.title | Vocabulary |
|---|---|
| Single sample geography Variables -- TOPICS | IPUMS |