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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 Page views 1850924 Download 4083 Documentation in PDF Metadata DDI/XML JSON
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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.