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Welfare Monitoring Survey 1992

Kenya, 1992
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Reference ID
KEN_1992_WMS-I_v01_M
Producer(s)
Kenya National Bureau of Statistics
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Dec 12, 2013
Last modified
Mar 29, 2019
Page views
23677
Downloads
22530
  • Study Description
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    KEN_1992_WMS-I_v01_M

    Title

    Welfare Monitoring Survey 1992

    Subtitle

    First Round

    Country
    Name Country code
    Kenya KEN
    Study type

    Core Welfare Indicators Questionnaire [hh/cwiq]

    Series Information

    Welfare Monitoring Survey 1992, Round 1 (WMS1) is the first round of WMS surveys.

    Kind of Data

    Sample survey data [ssd]

    Version

    Version Description

    V1.2

    Version Date

    2008-12-08

    Scope

    Notes

    The scope of WMS 1 includes:

    • Household characteristics
    • Household income and expenditures
    • Household assets and amenities owned and available to households
    • Land utilization

    Producers and sponsors

    Primary investigators
    Name
    Kenya National Bureau of Statistics
    Funding Agency/Sponsor
    Name Role
    World Bank Funding

    Sampling

    Sampling Procedure

    The NHWMES surveys will be based on the National Sample Survey and Evaluation Programme (NASSEP) Phase III. To monitor poverty and the distribution of its effects among different socio-economic groups in the economy, data should ideally be disaggregated to the community level. However, due to the cost implications and the size of population involved, the national household welfare monitoring and evaluation survey will disaggregate data only to the district level.

    Weighting

    Weighting of the data followed the specified method established for Kenya's National Sample Survey and Evaluation Programme (NASSEP III). The basic weights, before adjusting for noninterview, are the reciprocals of the probabilities of selection, which is as follows:
    Basic cluster weight='cluster weight' * 'household weight'
    where:
    'cluster weight'= 1/cluster probability
    'household weight'=1/(10/# of households) or (# households/10)

    The nonresponse adjustment factor is estimated at the district level as follows:
    Nonresponse Adjustment Factor=Cj/Ij
    where:
    Cj=total number of selected households in the district or (10 times the number of clusters per district)
    Ij=Actual number of households in the district which responded *

    Ij is the number of households in the sample used in the analysis (8102)
    Final Adjusted Weight=Basic Cluster Weight
    Nonresponse Adjustment Factor

    Survey instrument

    Questionnaires

    The questionnaire is one of the shortest, yet potentially most useful household survey questionnaires that CBS has produced. It is difficult, however, to know what reliability to place on annual income and expenditure data which is collected from a single interview. A unique opportunity to test this presents itself however this year due to the fact that the Urban Household Budget Survey and the WMS will both be conducted in the same clusters at the same time.

    Data collection

    Dates of Data Collection
    Start
    1992
    Data Collection Notes

    The processing of the data unearthed some major data collection problems. The most important of these was the fact that a very large number of household questionnaires were returned incomplete (one of more forms left blank or missing). This is not permissible since every household must have all four forms. This mistake points to a weakness in training and/or supervision and must be watched very carefully at the next round.

    Data processing

    Data Editing

    Data entry errors of the following types were found in the analysis of data:

    • Incomplete data: missing records, missing variables
    • Coded variables with illegal codes
    • Continuous variables out of range

    Data Access

    Access authority
    Name URL Email
    Kenya National Bureau of Statistics http://statistics.knbs.or.ke/nada/index.php/catalog datarequest@knbs.or.ke
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Copyright

    (c) 2005 Kenya National Bureau of Statistics

    Contacts

    Contacts
    Name Affiliation Email URL
    Head, Data Processing Division KNBS datarequest@knbs.or.ke http://statistics.knbs.or.ke/nada/index.php/catalog
    Microdata Library World Bank microdatalib@worldbank.org

    Metadata production

    DDI Document ID

    DDI_KEN_1992_WMS-I_v01_M

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2013-10-15

    Metadata version

    DDI Document version

    Version 01 (October 2013)
    Adapted from KEN-KNBS-WMS1-1992-V01. Study reference changed to comply with World Bank referencing system, and additions made to Weighting, Questionnaire and 'Notes on Data Collection' fields using available technical documentation.

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