Kenya Aids Indicator Survey 2012, KAIS 2012
Kenya, 2012 - 2013
Kenya National Bureau of Statistics, (KNBS), National AIDS and STI Control Programme (NASCOP)
Created on
June 01, 2022
Last modified
June 01, 2022
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Metadata
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(district)
Data file: allovc
Overview
Valid:
1711
Invalid:
0
Type:
Discrete
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BARINGO NORTH | 2 |
0.1%
|
|
| BOMET | 16 |
0.9%
|
|
| BONDO | 4 |
0.2%
|
|
| BORABU | 1 |
0.1%
|
|
| BUNGOMA EAST | 19 |
1.1%
|
|
| BUNGOMA NORTH | 13 |
0.8%
|
|
| BUNGOMA SOUTH | 22 |
1.3%
|
|
| BUNYALA | 9 |
0.5%
|
|
| BURET | 3 |
0.2%
|
|
| BUSIA | 30 |
1.8%
|
|
| BUTERE | 24 |
1.4%
|
|
| CHALBI | 14 |
0.8%
|
|
| EAST POKOT | 2 |
0.1%
|
|
| ELDORET EAST | 1 |
0.1%
|
|
| EMBU | 7 |
0.4%
|
|
| EMUHAYA | 24 |
1.4%
|
|
| GARBATULA | 3 |
0.2%
|
|
| GATANGA | 16 |
0.9%
|
|
| GATUNDU | 1 |
0.1%
|
|
| GITHUNGURI | 5 |
0.3%
|
|
| GUCHA | 29 |
1.7%
|
|
| GUCHA SOUTH | 3 |
0.2%
|
|
| HAMISI | 20 |
1.2%
|
|
| HOMABAY | 55 |
3.2%
|
|
| IGEMBE | 8 |
0.5%
|
|
| IMENTI NORTH | 11 |
0.6%
|
|
| IMENTI SOUTH | 3 |
0.2%
|
|
| ISIOLO | 56 |
3.3%
|
|
| KAJIADO CENTRAL | 2 |
0.1%
|
|
| KAJIADO NORTH | 18 |
1.1%
|
|
| KAKAMEGA CENTRAL | 14 |
0.8%
|
|
| KAKAMEGA EAST | 8 |
0.5%
|
|
| KAKAMEGA SOUTH | 15 |
0.9%
|
|
| KALOLENI | 7 |
0.4%
|
|
| KANGUNDO | 3 |
0.2%
|
|
| KEIYO | 3 |
0.2%
|
|
| KERICHO | 17 |
1%
|
|
| KIAMBU | 2 |
0.1%
|
|
| KIBWEZI | 15 |
0.9%
|
|
| KIKUYU | 2 |
0.1%
|
|
| KILIFI | 9 |
0.5%
|
|
| KILINDINI | 9 |
0.5%
|
|
| KINANGO | 11 |
0.6%
|
|
| KIPKELION | 4 |
0.2%
|
|
| KIRINYAGA | 12 |
0.7%
|
|
| KISII CENTRAL | 17 |
1%
|
|
| KISUMU EAST | 30 |
1.8%
|
|
| KISUMU WEST | 55 |
3.2%
|
|
| KITUI | 8 |
0.5%
|
|
| KOIBATEK | 8 |
0.5%
|
|
| KURIA EAST | 3 |
0.2%
|
|
| KURIA WEST | 5 |
0.3%
|
|
| KWALE | 2 |
0.1%
|
|
| KWANZA | 14 |
0.8%
|
|
| KYUSO | 3 |
0.2%
|
|
| LAISAMIS | 33 |
1.9%
|
|
| LAMU | 3 |
0.2%
|
|
| LARI | 6 |
0.4%
|
|
| LIMURU | 1 |
0.1%
|
|
| LUGARI | 1 |
0.1%
|
|
| MAARA | 2 |
0.1%
|
|
| MACHAKOS | 10 |
0.6%
|
|
| MAKUENI | 22 |
1.3%
|
|
| MALINDI | 42 |
2.5%
|
|
| MANGA | 19 |
1.1%
|
|
| MARSABIT | 60 |
3.5%
|
|
| MASABA | 15 |
0.9%
|
|
| MBEERE | 2 |
0.1%
|
|
| MERU CENTRAL | 2 |
0.1%
|
|
| MERU SOUTH | 15 |
0.9%
|
|
| MIGORI | 13 |
0.8%
|
|
| MOLO | 11 |
0.6%
|
|
| MOMBASA | 2 |
0.1%
|
|
| MOYALE | 49 |
2.9%
|
|
| MSAMBWENI | 40 |
2.3%
|
|
| MT ELGON | 10 |
0.6%
|
|
| MUMIAS | 20 |
1.2%
|
|
| MURANGA NORTH | 8 |
0.5%
|
|
| MURANGA SOUTH | 5 |
0.3%
|
|
| MUTOMO | 3 |
0.2%
|
|
| MWALA | 4 |
0.2%
|
|
| MWINGI | 5 |
0.3%
|
|
| NAIROBI EAST | 29 |
1.7%
|
|
| NAIROBI NORTH | 10 |
0.6%
|
|
| NAIROBI WEST | 19 |
1.1%
|
|
| NAKURU | 1 |
0.1%
|
|
| NAKURU NORTH | 3 |
0.2%
|
|
| NANDI CENTRAL | 4 |
0.2%
|
|
| NANDI EAST | 4 |
0.2%
|
|
| NANDI NORTH | 1 |
0.1%
|
|
| NANDI SOUTH | 2 |
0.1%
|
|
| NAROK NORTH | 14 |
0.8%
|
|
| NAROK SOUTH | 8 |
0.5%
|
|
| NYAMIRA | 26 |
1.5%
|
|
| NYANDARUA NORTH | 13 |
0.8%
|
|
| NYANDARUA SOUTH | 23 |
1.3%
|
|
| NYANDO | 43 |
2.5%
|
|
| NYERI NORTH | 9 |
0.5%
|
|
| NYERI SOUTH | 13 |
0.8%
|
|
| NZAUI | 3 |
0.2%
|
|
| POKOT CENTRAL | 12 |
0.7%
|
|
| RACHUONYO | 38 |
2.2%
|
|
| RARIEDA | 63 |
3.7%
|
|
| RONGO | 29 |
1.7%
|
|
| RUIRU | 2 |
0.1%
|
|
| SAMBURU CENTRAL | 5 |
0.3%
|
|
| SAMBURU EAST | 2 |
0.1%
|
|
| SAMIA | 13 |
0.8%
|
|
| SIAYA | 83 |
4.9%
|
|
| SOTIK | 2 |
0.1%
|
|
| TAITA | 21 |
1.2%
|
|
| TANA DELTA | 6 |
0.4%
|
|
| TANA RIVER | 15 |
0.9%
|
|
| TAVETA | 2 |
0.1%
|
|
| TESO SOUTH | 10 |
0.6%
|
|
| THARAKA | 4 |
0.2%
|
|
| THIKA WEST | 1 |
0.1%
|
|
| TINDERET | 4 |
0.2%
|
|
| TRANS MARA | 12 |
0.7%
|
|
| TRANS NZOIA EAST | 11 |
0.6%
|
|
| TRANS NZOIA WEST | 11 |
0.6%
|
|
| TURKANA CENTRAL | 1 |
0.1%
|
|
| VIHIGA | 19 |
1.1%
|
|
| WEST POKOT | 13 |
0.8%
|
|
| WESTLANDS | 4 |
0.2%
|
|
| YATTA | 3 |
0.2%
|
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.