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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 3556389 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

year stopped attending school (wom_man_q110Dyear)

Data file: NCSS 2012 WOMEN+MEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 6581
invd 22
Interval discrete
Decimal 0
Range 1975 - 9999995

Questions and instructions

Literal question
In what month and year did you stop going to school?
Categories
Value Category Cases
1975 1
0%
1976 1
0%
1978 1
0%
1979 1
0%
1985 1
0%
1991 1
0%
1992 2
0%
1995 1
0%
1996 2
0%
1997 1
0%
1998 4
0.1%
1999 3
0%
2000 15
0.2%
2001 19
0.3%
2002 27
0.4%
2003 48
0.7%
2004 91
1.4%
2005 105
1.6%
2006 132
2%
2007 187
2.8%
2008 198
3%
2009 181
2.8%
2010 223
3.4%
2011 244
3.7%
2012 38
0.6%
9998 don't know 58
0.9%
9999 not applicable 4797
72.9%
9999995 missing:impute 199
3%
Sysmiss 22
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 MONTH IS UNKNOWN ENTER '98'; IF YEAR IS UNKNOWN ENTER '9998'
Interviewer instructions
For those who report they are not currently attending school, we ask for the month and year when they stopped attending school. Try as much as possible to get the year if the respondent cannot remember the month. Only for extreme cases will 9998 be acceptable, and this should be accompanied by an explanation in the comments.

Description

Text
The year in which individual stopped attending school
Universe
All individuals aged 12-24 years according to wom_man_q107 who have ever attended school according to wom_man_q108
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