Kenya Malaria Indicator Survey 2015
Kenya, 2015
Kenya National Bureau of Statistics, ICF International, National Malaria Control Programme, Ministry of Health
Created on
June 01, 2022
Last modified
June 01, 2022
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- Data files
-
Kenya -
Fieldworker
Questionnaire
(SPSS format) -
Kenya -
Household
Recode (SPSS
format) -
Kenya -
Individual
Recode (Women)
(SPSS format) -
Kenya -
Children’s
Recode (under 5
years) (SPSS
format) -
Kenya -
Household
Member Recode
(Household
Listing) (SPSS
format) -
Kenya -
Fieldworker
Questionnaire
(Stata format) -
Kenya -
Household
Recode (Stata
format) -
Kenya -
Individual
Recode (Women)
(Stata format) -
Kenya -
Children’s
Recode (under 5
years) (Stata
format) -
Kenya -
Household
Member Recode
(Household
Listing) (Stata
format)
County (SHCOUNTY)
Data file: Kenya - Household Recode (SPSS format)
Overview
Valid:
6481
Invalid:
0
Minimum:
101
Maximum:
804
Type:
Discrete
Decimal:
0
Width:
3
Range:
101 - 804
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | NAIROBI | 182 |
2.8%
|
| 201 | NYANDARUA | 135 |
2.1%
|
| 202 | NYERI | 138 |
2.1%
|
| 203 | KIRINYAGA | 150 |
2.3%
|
| 204 | MURANGA | 159 |
2.5%
|
| 205 | KIAMBU | 216 |
3.3%
|
| 301 | MOMBASA | 138 |
2.1%
|
| 302 | KWALE | 201 |
3.1%
|
| 303 | KILIFI | 242 |
3.7%
|
| 304 | TANA RIVER | 95 |
1.5%
|
| 305 | LAMU | 127 |
2%
|
| 306 | TAITA TAVETA | 186 |
2.9%
|
| 401 | MARSABIT | 97 |
1.5%
|
| 402 | ISIOLO | 97 |
1.5%
|
| 403 | MERU | 106 |
1.6%
|
| 404 | THARAKA | 100 |
1.5%
|
| 405 | EMBU | 110 |
1.7%
|
| 406 | KITUI | 106 |
1.6%
|
| 407 | MACHAKOS | 167 |
2.6%
|
| 408 | MAKUENI | 111 |
1.7%
|
| 501 | GARISSA | 112 |
1.7%
|
| 502 | WAJIR | 106 |
1.6%
|
| 503 | MANDERA | 84 |
1.3%
|
| 601 | SIAYA | 165 |
2.5%
|
| 602 | KISUMU | 171 |
2.6%
|
| 603 | MIGORI | 135 |
2.1%
|
| 604 | HOMA BAY | 158 |
2.4%
|
| 605 | KISII | 141 |
2.2%
|
| 606 | NYAMIRA | 132 |
2%
|
| 701 | TURKANA | 57 |
0.9%
|
| 702 | WEST POKOT | 143 |
2.2%
|
| 703 | SAMBURU | 90 |
1.4%
|
| 704 | TRANS-NZOIA | 144 |
2.2%
|
| 705 | BARINGO | 105 |
1.6%
|
| 706 | UASIN GISHU | 164 |
2.5%
|
| 707 | ELGEYO MARAKWET | 110 |
1.7%
|
| 708 | NANDI | 138 |
2.1%
|
| 709 | LAIKIPIA | 141 |
2.2%
|
| 710 | NAKURU | 206 |
3.2%
|
| 711 | NAROK | 128 |
2%
|
| 712 | KAJIADO | 109 |
1.7%
|
| 713 | KERICHO | 96 |
1.5%
|
| 714 | BOMET | 144 |
2.2%
|
| 801 | KAKAMEGA | 190 |
2.9%
|
| 802 | VIHIGA | 140 |
2.2%
|
| 803 | BUNGOMA | 171 |
2.6%
|
| 804 | BUSIA | 138 |
2.1%
|
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.