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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [F27]
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 3518840 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

household id (hhid)

Data file: NCSS 2012 HOUSEHOLD CHARACTERISTICS ANALYTICAL FILE

Overview

vald 5489
invd 0
Interval discrete

Questions and instructions

Literal question
na
Question pretext
na
Question post text
na
Interviewer instructions
na

Description

Text
ID of household
Universe
All households

others

Notes
There are 0 households that have interview result data but don't have data in either Characteristics, Schedule, Mortality Experience or WeightHeight. These are not in this clean file.

There are 726 households that have data in either Characteristics, Schedule, Mortality Experience or WeightHeight but don't have interview result data

There are 239 households that are removed from the household characteristics file because they do not have a household list ID, province name or household head name. The data fields are also empty.

There are 469 households that are in the household characteristics file that have duplicate household list IDs and are genuinely distinct households within the same household list ID

There are 580 households that are in the household schedule file that do not have a household list ID and cannot be linked in any way to the sample.
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