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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [F39]
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 3516380 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

duration of stay at previous place-value (wom_man_q105_value)

Data file: NCSS 2012 WOMEN+MEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 6545
invd 58
Interval discrete
Decimal 0
Range 0 - 9999995

Questions and instructions

Literal question
How long did you live at the last residence?
Categories
Value Category Cases
0 50
0.8%
1 670
10.2%
2 862
13.2%
3 631
9.6%
4 419
6.4%
5 387
5.9%
6 269
4.1%
7 195
3%
8 156
2.4%
9 108
1.7%
10 224
3.4%
11 42
0.6%
12 89
1.4%
13 48
0.7%
14 53
0.8%
15 88
1.3%
16 82
1.3%
17 91
1.4%
18 119
1.8%
19 107
1.6%
20 200
3.1%
21 98
1.5%
22 80
1.2%
23 59
0.9%
24 66
1%
25 65
1%
26 42
0.6%
27 37
0.6%
28 30
0.5%
29 11
0.2%
30 24
0.4%
31 14
0.2%
32 11
0.2%
33 8
0.1%
34 7
0.1%
35 8
0.1%
36 7
0.1%
37 6
0.1%
38 2
0%
39 4
0.1%
40 2
0%
41 1
0%
42 1
0%
44 1
0%
46 1
0%
47 1
0%
48 1
0%
49 1
0%
62 1
0%
98 don't know 51
0.8%
99 not applicable 892
13.6%
9999995 missing:impute 123
1.9%
Sysmiss 58
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
[IF MORE THAN 2 YEARS, RECORD IN YEARS]
Interviewer instructions
This question like Q103 asks how long the respondent lived in the place just before she moved into the current structure. Again, we first select the unit reported either months and years then write the duration in the boxes. For example if a respondent gives ten years and 3 months, we shall select YEARS and write '03' then select MONTHS and write '10'.



FILTER: CHECK HH COL 4

Here you are being instructed to refer to the household questionnaire and check on column 4 to see whether the woman is a usual resident or a visitor/in boarding school. Put an X in the appropriate box and proceed as the instructions indicate. For a woman who is a usual resident, you shall proceed with Q105A while for visitors/in boarding school, you shall skip to Q106

Description

Text
Duration of individual's stay at previous place-value
Universe
All individuals (males aged 12-54 years & females aged 12-49 years) who weren't born in the area and those who aren't visitors according to wom_man_q103
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