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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [V8704]
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 3507121 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_q110Dyear)

Data file: NCSS 2012 WOMEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 4220
invd 13
Interval discrete
Decimal 0
Range 1991 - 9999995

Questions and instructions

Literal question
In what month and year did you stop going to school?
Categories
Value Category Cases
1991 1
0%
1992 1
0%
1995 1
0%
1996 2
0%
1997 1
0%
1998 4
0.1%
1999 1
0%
2000 11
0.3%
2001 14
0.3%
2002 23
0.5%
2003 37
0.9%
2004 69
1.6%
2005 76
1.8%
2006 100
2.4%
2007 138
3.3%
2008 144
3.4%
2009 138
3.3%
2010 143
3.4%
2011 175
4.1%
2012 28
0.7%
9998 don't know 54
1.3%
9999 not applicable 2970
70.4%
9999995 missing:impute 89
2.1%
Sysmiss 13
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 woman stopped attending school
Universe
All women aged 12-24 years according to wom_q107 who have ever attended school according to wom_q108
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