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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [V10113]
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 3524843 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 of birth (man_q106year)

Data file: NCSS 2012 MEN CHARACTERISTICS ANALYTICAL FILE

Overview

vald 2370
invd 0
Interval discrete
Decimal 0
Range 98 - 9999995

Questions and instructions

Literal question
In what month and year were you born?
Categories
Value Category Cases
98 don't know 0
0%
1958 17
0.7%
1959 11
0.5%
1960 20
0.8%
1961 12
0.5%
1962 25
1.1%
1963 17
0.7%
1964 29
1.2%
1965 21
0.9%
1966 11
0.5%
1967 27
1.1%
1968 26
1.1%
1969 25
1.1%
1970 28
1.2%
1971 26
1.1%
1972 67
2.8%
1973 39
1.6%
1974 65
2.7%
1975 62
2.6%
1976 54
2.3%
1977 70
3%
1978 75
3.2%
1979 51
2.2%
1980 82
3.5%
1981 49
2.1%
1982 108
4.6%
1983 95
4%
1984 127
5.4%
1985 111
4.7%
1986 102
4.3%
1987 128
5.4%
1988 96
4.1%
1989 93
3.9%
1990 96
4.1%
1991 69
2.9%
1992 75
3.2%
1993 61
2.6%
1994 43
1.8%
1995 36
1.5%
1996 37
1.6%
1997 41
1.7%
1998 41
1.7%
1999 50
2.1%
2000 52
2.2%
9998 don't know 0
0%
9999 not applicable 0
0%
9999995 missing:impute 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
[IF DATE, MONTH AND YEAR ARE NOT KNOWN, RECORD 98, 98, 9998 RESPECTIVELY]
Interviewer instructions
Qs.106 and 107 must be asked independently of the information on the Household Questionnaire. Even if you already asked the respondent her age when you were completing the Household Questionnaire, you must ask again for her date of birth on the Women's Questionnaire. If the respondent knows her date of birth, write it in the appropriate boxes for MONTH and YEAR. You will need to convert the month into numbers. For this, January is '01', February is '02', March is '03', and so on. If she does not know her month of birth, write '98' and ask her for the year of her birth. If she knows the year, write it in the boxes for YEAR. Try under all circumstances to obtain at least the year of birth. If the respondent is unable to provide this information, ask whether she has any documentation such as an identification card or a birth or baptismal certificate that might give her date of birth. Write '9998' only if the respondent does not know and cannot provide any record showing her birth year. If this option is entered, remember to write notes explaining why you could not get the year of birth.

Description

Text
Man's year of birth
Universe
All men aged 12-54 years
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