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    Home / Central Data Catalog / KEN-KNBS-KMIS-2015-V0.1 / variable [F10]
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Kenya Malaria Indicator Survey 2015

Kenya, 2015
Kenya National Bureau of Statistics, ICF International, National Malaria Control Programme, Ministry of Health
Created on June 01, 2022 Last modified June 01, 2022 Page views 1816103 Download 3996 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
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  • Data files
  • Kenya -
    Fieldworker
    Questionnaire
    (SPSS format)
  • Kenya -
    Household
    Recode (SPSS
    format)
  • Kenya -
    Individual
    Recode (Women)
    (SPSS format)
  • Kenya -
    Children’s
    Recode (under 5
    years) (SPSS
    format)
  • Kenya -
    Household
    Member Recode
    (Household
    Listing) (SPSS
    format)
  • Kenya -
    Fieldworker
    Questionnaire
    (Stata format)
  • Kenya -
    Household
    Recode (Stata
    format)
  • Kenya -
    Individual
    Recode (Women)
    (Stata format)
  • Kenya -
    Children’s
    Recode (under 5
    years) (Stata
    format)
  • Kenya -
    Household
    Member Recode
    (Household
    Listing) (Stata
    format)
CSV JSON

time to get to water source (minutes) (hv204)

Data file: Kenya - Household Member Recode (Household Listing) (Stata format)

Overview

Valid: 25322
Invalid: 108
Type: Discrete
Decimal: 0
Width: 8
Range: 1 - 998
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 72
0.3%
2 122
0.5%
3 127
0.5%
4 128
0.5%
5 1142
4.5%
6 116
0.5%
7 34
0.1%
8 25
0.1%
10 2628
10.4%
12 30
0.1%
13 1
0%
14 11
0%
15 1226
4.8%
16 15
0.1%
17 6
0%
20 1948
7.7%
25 162
0.6%
28 1
0%
30 3084
12.2%
35 23
0.1%
36 1
0%
40 399
1.6%
45 223
0.9%
50 98
0.4%
60 1647
6.5%
68 2
0%
70 44
0.2%
75 4
0%
80 55
0.2%
90 179
0.7%
100 5
0%
110 1
0%
120 719
2.8%
130 15
0.1%
150 39
0.2%
160 6
0%
180 140
0.6%
200 30
0.1%
240 248
1%
270 4
0%
300 21
0.1%
360 35
0.1%
420 2
0%
480 6
0%
600 46
0.2%
620 2
0%
700 5
0%
720 22
0.1%
996 on premises 10272
40.6%
998 don't know 151
0.6%
Sysmiss 108
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.
Kenya National Data Archive (KeNADA)

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