Kenya Demographic and Health Survey 2014
Kenya, 2014
Kenya National Bureau of Statistics (KNBS)
Created on
February 15, 2023
Last modified
February 15, 2023
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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.