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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [F35]
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 3529047 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 MATERNAL MORTALITY ANALYTICAL FILE

Overview

vald 16811
invd 0
Interval discrete
Decimal 0
Range 1 - 63

Questions and instructions

Literal question
na
Categories
Value Category Cases
1 bomas 29
0.2%
3 california 132
0.8%
4 dandora 'a' 100
0.6%
5 dandora 'b' 154
0.9%
6 eastleigh south 326
1.9%
7 embakasi 369
2.2%
8 gatina 632
3.8%
9 gatwikira 438
2.6%
10 gichagi 231
1.4%
11 gitathuru 361
2.1%
12 hazina 213
1.3%
13 highridge 65
0.4%
14 huruma 152
0.9%
15 imara daima 1063
6.3%
16 kaloleni 69
0.4%
17 kangemi 794
4.7%
18 karura 214
1.3%
19 kawangware 991
5.9%
20 kayole 252
1.5%
21 kiamaiko 28
0.2%
22 kibera 163
1%
23 kirigu 225
1.3%
24 kiwanja 158
0.9%
25 korogocho 207
1.2%
26 kyuna 59
0.4%
27 laini saba 261
1.6%
28 land mawe 391
2.3%
29 lindi 428
2.5%
30 loresho 183
1.1%
31 mabatini 339
2%
32 majengo 137
0.8%
33 makina 430
2.6%
34 mathare 210
1.2%
35 mathare 4a 346
2.1%
36 mathare north 165
1%
37 mlango kubwa 391
2.3%
38 mugumoini 47
0.3%
39 mukuru kwa njenga 1822
10.8%
40 mwiki 122
0.7%
41 nairobi south 447
2.7%
43 ngando 449
2.7%
44 njiru 50
0.3%
45 nyayo 223
1.3%
46 olympic 238
1.4%
47 riruta 238
1.4%
48 ruaraka 304
1.8%
49 ruthimitu 98
0.6%
50 saika 170
1%
51 savanna 394
2.3%
52 shauri moyo 103
0.6%
53 silanga 346
2.1%
55 soweto/highrise 153
0.9%
57 utalii 94
0.6%
58 uthiru 132
0.8%
59 viwandani 675
4%
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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