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    Home / Central Data Catalog / KEN-KNBS-KDHS-2014-V1.0 / variable [F7]
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Kenya Demographic and Health Survey 2014

Kenya, 2014
Kenya National Bureau of Statistics (KNBS)
Created on February 15, 2023 Last modified February 15, 2023 Page views 1922196 Download 13998 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • Births Recode
  • Couples' Recode
  • Household
    Recode
  • Individual
    Recode
  • Children's
    Recode
  • Men's Recode
  • Household
    Member Recode
CSV JSON

County - as in the final tables (SHCOUNTY)

Data file: Household Member Recode

Overview

Valid: 153840
Invalid: 0
Minimum: 11
Maximum: 90
Type: Discrete
Decimal: 0
Width: 2
Range: 10 - 90
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 Coast 0
0%
11 . Mombasa 2355
1.5%
12 . Kwale 3136
2%
13 . Kilifi 3965
2.6%
14 . Tana River 3875
2.5%
15 . Lamu 2951
1.9%
16 . Taita Taveta 2502
1.6%
20 North Eastern 0
0%
21 . Garissa 3584
2.3%
22 . Wajir 3688
2.4%
23 . Mandera 3432
2.2%
30 Eastern 0
0%
31 . Marsabit 3230
2.1%
32 . Isiolo 3344
2.2%
33 . Meru 3059
2%
34 . Tharaka-Nithi 2703
1.8%
35 . Embu 2774
1.8%
36 . Kitui 3718
2.4%
37 . Machakos 3407
2.2%
38 . Makueni 3676
2.4%
40 Central 0
0%
41 . Nyandarua 2747
1.8%
42 . Nyeri 2731
1.8%
43 . Kirinyaga 2327
1.5%
44 . Murang'a 2867
1.9%
45 . Kiambu 2805
1.8%
50 Rift Valley 0
0%
51 . Turkana 2887
1.9%
52 . West Pokot 3431
2.2%
53 . Samburu 3149
2%
54 . Trans-Nzoia 3709
2.4%
55 . Uasin Gishu 3174
2.1%
56 . Elgeyo Marakwet 3052
2%
57 . Nandi 3499
2.3%
58 . Baringo 2938
1.9%
59 . Laikipia 2860
1.9%
60 . Nakuru 3154
2.1%
61 . Narok 3739
2.4%
62 . Kajiado 2817
1.8%
63 . Kericho 3287
2.1%
64 . Bomet 3524
2.3%
70 Western 0
0%
71 . Kakamega 3691
2.4%
72 . Vihiga 3393
2.2%
73 . Bungoma 4177
2.7%
74 . Busia 3560
2.3%
80 Nyanza 0
0%
81 . Siaya 3291
2.1%
82 . Kisumu 3400
2.2%
83 . Homa Bay 3857
2.5%
84 . Migori 4013
2.6%
85 . Kisii 3577
2.3%
86 . Nyamira 3104
2%
90 Nairobi 3681
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.
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