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    Home / Central Data Catalog / KEN-KNBS-KDHS-2014-V1.0 / variable [F2]
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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 2030073 Download 14653 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 (SCOUNTY)

Data file: Couples' Recode

Overview

Valid: 5265
Invalid: 0
Minimum: 11
Maximum: 90
Type: Continuous
Decimal: 0
Width: 2
Range: 10 - 90
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 Coast 0
0%
11 . Mombasa 93
1.8%
12 . Kwale 90
1.7%
13 . Kilifi 122
2.3%
14 . Tana River 118
2.2%
15 . Lamu 99
1.9%
16 . Taita Taveta 98
1.9%
20 North Eastern 0
0%
21 . Garissa 75
1.4%
22 . Wajir 71
1.3%
23 . Mandera 73
1.4%
30 Eastern 0
0%
31 . Marsabit 85
1.6%
32 . Isiolo 80
1.5%
33 . Meru 167
3.2%
34 . Tharaka-Nithi 93
1.8%
35 . Embu 113
2.1%
36 . Kitui 107
2%
37 . Machakos 124
2.4%
38 . Makueni 114
2.2%
40 Central 0
0%
41 . Nyandarua 102
1.9%
42 . Nyeri 150
2.8%
43 . Kirinyaga 139
2.6%
44 . Murang'a 111
2.1%
45 . Kiambu 96
1.8%
50 Rift Valley 0
0%
51 . Turkana 55
1%
52 . West Pokot 128
2.4%
53 . Samburu 75
1.4%
54 . Trans-Nzoia 111
2.1%
55 . Uasin Gishu 147
2.8%
56 . Elgeyo Marakwet 108
2.1%
57 . Nandi 143
2.7%
58 . Baringo 89
1.7%
59 . Laikipia 104
2%
60 . Nakuru 120
2.3%
61 . Narok 129
2.5%
62 . Kajiado 95
1.8%
63 . Kericho 103
2%
64 . Bomet 122
2.3%
70 Western 0
0%
71 . Kakamega 153
2.9%
72 . Vihiga 88
1.7%
73 . Bungoma 133
2.5%
74 . Busia 118
2.2%
80 Nyanza 0
0%
81 . Siaya 123
2.3%
82 . Kisumu 119
2.3%
83 . Homa Bay 117
2.2%
84 . Migori 137
2.6%
85 . Kisii 142
2.7%
86 . Nyamira 136
2.6%
90 Nairobi 150
2.8%
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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