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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [F33]
Population_Dynamics_and_Urbanization_in_Africa

Nairobi Cross-sectional Slums Survey (NCSS), 2012, 2nd Survey

KENYA, 2012
Population Dynamics and Urbanization in Africa (PDAU)
African Population & Health Research Center
Last modified January 05, 2016 Page views 3522386 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • NCSS 2012
    HOUSEHOLD
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    MORTALITY
    EXPERIENCE
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    SCHEDULE
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    WEIGHT & HEIGHT
    UNDER-5
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    BIRTH HISTORY
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    CALENDAR
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    IMMUNIZATION
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    MATERNAL
    MORTALITY
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    PREGNANCY
    ANALYTICAL FILE
  • NCSS 2012 MEN
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012
    WOMEN+MEN
    CHARACTERISTICS
    ANALYTICAL FILE
CSV JSON

sub-location number-ncss2 (wom_sloccode)

Data file: NCSS 2012 WOMEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 4233
invd 0
Interval discrete
Decimal 0
Range 1 - 63

Questions and instructions

Literal question
na
Categories
Value Category Cases
1 bomas 6
0.1%
3 california 41
1%
4 dandora 'a' 34
0.8%
5 dandora 'b' 49
1.2%
6 eastleigh south 89
2.1%
7 embakasi 95
2.2%
8 gatina 139
3.3%
9 gatwikira 107
2.5%
10 gichagi 67
1.6%
11 gitathuru 83
2%
12 hazina 54
1.3%
13 highridge 15
0.4%
14 huruma 39
0.9%
15 imara daima 280
6.6%
16 kaloleni 21
0.5%
17 kangemi 175
4.1%
18 karura 44
1%
19 kawangware 223
5.3%
20 kayole 83
2%
21 kiamaiko 8
0.2%
22 kibera 47
1.1%
23 kirigu 53
1.3%
24 kiwanja 34
0.8%
25 korogocho 49
1.2%
26 kyuna 10
0.2%
27 laini saba 70
1.7%
28 land mawe 107
2.5%
29 lindi 97
2.3%
30 loresho 46
1.1%
31 mabatini 93
2.2%
32 majengo 36
0.9%
33 makina 100
2.4%
34 mathare 70
1.7%
35 mathare 4a 87
2.1%
36 mathare north 33
0.8%
37 mlango kubwa 116
2.7%
38 mugumoini 13
0.3%
39 mukuru kwa njenga 445
10.5%
40 mwiki 28
0.7%
41 nairobi south 93
2.2%
43 ngando 98
2.3%
44 njiru 15
0.4%
45 nyayo 53
1.3%
46 olympic 57
1.3%
47 riruta 50
1.2%
48 ruaraka 69
1.6%
49 ruthimitu 27
0.6%
50 saika 49
1.2%
51 savanna 168
4%
52 shauri moyo 25
0.6%
53 silanga 95
2.2%
55 soweto/highrise 41
1%
57 utalii 20
0.5%
58 uthiru 30
0.7%
59 viwandani 157
3.7%
60 bondeni/gorofani 0
0%
61 nairobi west 0
0%
62 south 'c' 0
0%
63 uhuru 0
0%
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.
Question pretext
na
Question post text
na
Interviewer instructions
na

Description

Text
Sub-location in Nairobi in which woman's household is located
Universe
All women aged 12-49 years
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