Kenya Demographic and Health Survey 2014
Kenya, 2014
Kenya National Bureau of Statistics (KNBS)
Created on
February 15, 2023
Last modified
February 15, 2023
Page views
2350805
Download
16315
Documentation in PDF
Metadata
DDI/XML
JSON
Region (V101)
Data file: Individual Recode
Overview
Valid:
31079
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 47
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Nairobi | 3902 |
12.6%
|
| 2 | Nyandarua | 1664 |
5.4%
|
| 3 | Nyeri | 5247 |
16.9%
|
| 4 | Kirinyaga | 3114 |
10%
|
| 5 | Muranga | 9059 |
29.1%
|
| 6 | Kiambu | 0 |
0%
|
| 7 | Mombasa | 2840 |
9.1%
|
| 8 | Kwale | 4254 |
13.7%
|
| 9 | Kilifi | 999 |
3.2%
|
| 10 | Tana River | 0 |
0%
|
| 11 | Lamu | 0 |
0%
|
| 12 | Taita Taveta | 0 |
0%
|
| 13 | Marsabit | 0 |
0%
|
| 14 | Isiolo | 0 |
0%
|
| 15 | Meru | 0 |
0%
|
| 16 | Tharaka | 0 |
0%
|
| 17 | Embu | 0 |
0%
|
| 18 | Kitui | 0 |
0%
|
| 19 | Machakos | 0 |
0%
|
| 20 | Makueni | 0 |
0%
|
| 21 | Garissa | 0 |
0%
|
| 22 | Wajir | 0 |
0%
|
| 23 | Mandera | 0 |
0%
|
| 24 | Siaya | 0 |
0%
|
| 25 | Kisumu | 0 |
0%
|
| 26 | Migori | 0 |
0%
|
| 27 | Homa Bay | 0 |
0%
|
| 28 | Kisii | 0 |
0%
|
| 29 | Nyamira | 0 |
0%
|
| 30 | Turkana | 0 |
0%
|
| 31 | West Pokot | 0 |
0%
|
| 32 | Samburu | 0 |
0%
|
| 33 | Trans-Nzoia | 0 |
0%
|
| 34 | Baringo | 0 |
0%
|
| 35 | Uasin Gishu | 0 |
0%
|
| 36 | Elgeyo Marak | 0 |
0%
|
| 37 | Nandi | 0 |
0%
|
| 38 | Laikipia | 0 |
0%
|
| 39 | Nakuru | 0 |
0%
|
| 40 | Narok | 0 |
0%
|
| 41 | Kajiado | 0 |
0%
|
| 42 | Kericho | 0 |
0%
|
| 43 | Bomet | 0 |
0%
|
| 44 | Kakamega | 0 |
0%
|
| 45 | Vihiga | 0 |
0%
|
| 46 | Bungoma | 0 |
0%
|
| 47 | Busia | 0 |
0%
|
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.