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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 2030470 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 of residence - As in the sample file (SMREGION)

Data file: Couples' Recode

Overview

Valid: 5265
Invalid: 0
Minimum: 101
Maximum: 804
Type: Continuous
Decimal: 0
Width: 3
Range: 101 - 804
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Nairobi 150
2.8%
201 Nyandarua 102
1.9%
202 Nyeri 150
2.8%
203 Kirinyaga 139
2.6%
204 Muranga 111
2.1%
205 Kiambu 96
1.8%
301 Mombasa 93
1.8%
302 Kwale 90
1.7%
303 Kilifi 122
2.3%
304 Tana River 118
2.2%
305 Lamu 99
1.9%
306 Taita Taveta 98
1.9%
401 Marsabit 85
1.6%
402 Isiolo 80
1.5%
403 Meru 167
3.2%
404 Tharaka 93
1.8%
405 Embu 113
2.1%
406 Kitui 107
2%
407 Machakos 124
2.4%
408 Makueni 114
2.2%
501 Garissa 75
1.4%
502 Wajir 71
1.3%
503 Mandera 73
1.4%
601 Siaya 123
2.3%
602 Kisumu 119
2.3%
603 Migori 137
2.6%
604 Homa Bay 117
2.2%
605 Kisii 142
2.7%
606 Nyamira 136
2.6%
701 Turkana 55
1%
702 West Pokot 128
2.4%
703 Samburu 75
1.4%
704 Trans-Nzoia 111
2.1%
705 Baringo 89
1.7%
706 Uasin Gishu 147
2.8%
707 Elgeyo Marak 108
2.1%
708 Nandi 143
2.7%
709 Laikipia 104
2%
710 Nakuru 120
2.3%
711 Narok 129
2.5%
712 Kajiado 95
1.8%
713 Kericho 103
2%
714 Bomet 122
2.3%
801 Kakamega 153
2.9%
802 Vihiga 88
1.7%
803 Bungoma 133
2.5%
804 Busia 118
2.2%
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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