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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [V10046]
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 3523683 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 (man_sloccode)

Data file: NCSS 2012 MEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 2370
invd 0
Interval discrete
Decimal 0
Range 1 - 63

Questions and instructions

Literal question
na
Categories
Value Category Cases
1 bomas 2
0.1%
3 california 25
1.1%
4 dandora 'a' 12
0.5%
5 dandora 'b' 33
1.4%
6 eastleigh south 67
2.8%
7 embakasi 45
1.9%
8 gatina 57
2.4%
9 gatwikira 55
2.3%
10 gichagi 41
1.7%
11 gitathuru 38
1.6%
12 hazina 33
1.4%
13 highridge 15
0.6%
14 huruma 32
1.4%
15 imara daima 200
8.4%
16 kaloleni 15
0.6%
17 kangemi 112
4.7%
18 karura 31
1.3%
19 kawangware 110
4.6%
20 kayole 40
1.7%
21 kiamaiko 4
0.2%
22 kibera 15
0.6%
23 kirigu 26
1.1%
24 kiwanja 15
0.6%
25 korogocho 26
1.1%
26 kyuna 4
0.2%
27 laini saba 36
1.5%
28 land mawe 60
2.5%
29 lindi 40
1.7%
30 loresho 20
0.8%
31 mabatini 49
2.1%
32 majengo 31
1.3%
33 makina 44
1.9%
34 mathare 39
1.6%
35 mathare 4a 35
1.5%
36 mathare north 15
0.6%
37 mlango kubwa 78
3.3%
38 mugumoini 8
0.3%
39 mukuru kwa njenga 246
10.4%
40 mwiki 8
0.3%
41 nairobi south 66
2.8%
43 ngando 31
1.3%
44 njiru 12
0.5%
45 nyayo 19
0.8%
46 olympic 27
1.1%
47 riruta 21
0.9%
48 ruaraka 50
2.1%
49 ruthimitu 10
0.4%
50 saika 21
0.9%
51 savanna 93
3.9%
52 shauri moyo 8
0.3%
53 silanga 55
2.3%
55 soweto/highrise 31
1.3%
57 utalii 14
0.6%
58 uthiru 25
1.1%
59 viwandani 125
5.3%
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 man's household is located
Universe
All men aged 12-54 years
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