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Kenya Household Health Expenditure and Utilisation Survey (KHHEUS), 2013

Kenya, 2013
Division of Policy and Planning
Created on June 01, 2022 Last modified June 01, 2022 Page views 84171 Download 1155 Documentation in PDF Metadata DDI/XML JSON
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(CountyCode)

Data file: Households_Data

Overview

Valid: 33194
Invalid: 0
Minimum: 1
Maximum: 47
Type: Continuous
Decimal: 0
Width: 4
Range: 1 - 47
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 MOMBASA (COUNTY) 850
2.6%
2 KWALE 848
2.6%
3 KILIFI 823
2.5%
4 TANA RIVER 772
2.3%
5 LAMU 849
2.6%
6 TAITA–TAVETA 846
2.5%
7 GARISSA 0
0%
8 WAJIR 0
0%
9 MANDERA 0
0%
10 MARSABIT 777
2.3%
11 ISIOLO 819
2.5%
12 MERU 796
2.4%
13 THARAKA-NITHI 798
2.4%
14 EMBU 805
2.4%
15 KITUI 824
2.5%
16 MACHAKOS 797
2.4%
17 MAKUENI 799
2.4%
18 NYANDARUA 748
2.3%
19 NYERI 723
2.2%
20 KIRINYAGA 723
2.2%
21 MURANG'A 748
2.3%
22 KIAMBU 721
2.2%
23 TURKANA 563
1.7%
24 WEST POKOT 721
2.2%
25 SAMBURU 725
2.2%
26 TRANS-NZOIA 750
2.3%
27 UASIN GISHU 725
2.2%
28 ELGEYO-MARAKWET 747
2.3%
29 NANDI 730
2.2%
30 BARINGO 725
2.2%
31 LAIKIPIA 723
2.2%
32 NAKURU 723
2.2%
33 NAROK 725
2.2%
34 KAJIADO 750
2.3%
35 KERICHO 724
2.2%
36 BOMET 749
2.3%
37 KAKAMEGA 748
2.3%
38 VIHIGA 749
2.3%
39 BUNGOMA 724
2.2%
40 BUSIA 722
2.2%
41 SIAYA 724
2.2%
42 KISUMU 723
2.2%
43 HOMA BAY 723
2.2%
44 MIGORI 700
2.1%
45 KISII 724
2.2%
46 NYAMIRA 723
2.2%
47 NAIROBI (COUNTY) 788
2.4%
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.