Demographic and Health Survey 2014 - IPUMS Subset
Kenya, 2014
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Sep 19, 2018
Last modified
Sep 19, 2018
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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 |