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Kenya Demographic and Health Survey 1998

Kenya, 1998
Kenya National Bureau of Statistics (KNBS)
Created on September 20, 2022 Last modified September 20, 2022 Page views 863240 Download 652 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
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  • Data files
  • KE_Births_Recode
  • KE_Childrens_Recode
  • KE_Couples_Recode
  • KE_Height_and_Weight
  • KE_Household_Member_Recode
  • KE_Household_Recode
  • KE_Individual_Recode
  • KE_Male Recode
  • KE_Wealth_Index
CSV JSON

Household district (shdist)

Data file: KE_Household_Recode

Overview

Valid: 8380
Invalid: 0
Minimum: 10
Maximum: 93
Type: Continuous
Decimal: 0
Width: 2
Range: 10 - 93
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 Nairobi 491
5.9%
21 Kiambu 195
2.3%
22 Kirinyaga 79
0.9%
23 Muranga 356
4.2%
24 Nyandaru 77
0.9%
25 Nyeri 396
4.7%
31 Kilifi 372
4.4%
32 Kwale 89
1.1%
33 Lamu 0
0%
34 Mombassa 514
6.1%
35 Taita Taveta 328
3.9%
36 Tana River 0
0%
41 Embu 102
1.2%
43 Kitui 135
1.6%
44 Machakos 452
5.4%
45 Meru 424
5.1%
61 Kisii 252
3%
62 Kisimu 192
2.3%
63 Siaya 367
4.4%
64 South Nyanza 390
4.7%
65 Nyamira 181
2.2%
71 Kajaido 57
0.7%
72 Kericho 390
4.7%
73 Laikipia 61
0.7%
74 Nakuru 422
5%
75 Nandi 380
4.5%
76 Narok 78
0.9%
81 Baringo 58
0.7%
82 Elgeyo-Marakeret 45
0.5%
84 Trans-Nzoia 99
1.2%
86 Uasin Gishu 399
4.8%
87 West Pokot 62
0.7%
91 Bungomo 423
5%
92 Busia 93
1.1%
93 Kakamega 421
5%
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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