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Welfare Monitoring Survey 1997

Kenya, 1997
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Reference ID
KEN_1997_WMS-III_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
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    KEN_1997_WMS-III_v01_M

    Title

    Welfare Monitoring Survey 1997

    Subtitle

    Third Round

    Country
    Name Country code
    Kenya KEN
    Study type

    Socio-Economic/Monitoring Survey [hh/sems]

    Series Information

    The survey is part of the Welfare Monitoring Survey (WMS) series, initiated in the early 1990s to monitor the possible socio-economic effects of Structural Adjustment Programmes in Kenya.

    Abstract

    Since its inception in the early 1990s, the Welfare Monitoring Survey has played a crucial role as a tool for guiding policy decisions, and particularly those that are aimed at welfare improvements. Previous welfare monitoring surveys, for example, have shown that nearly half of the Kenyan population is. living in Absolute Poverty, and that poverty in general is on the increase. This revelation has in the recent past led to a number of Government measures to curb the deterioration in welfare.

    The latest poverty estimates date back to the second Welfare Monitoring Survey (WMSII) of 1994, in which rural poverty was estimated at 46% and urban poverty at 29%. Since current information on the nature of poverty is essential for designing more poverty-sensitive strategies, the purpose of this report is to update 1994 poverty levels through the findings of the third Welfare Monitoring Survey (WMSIII), carried out between March and May 1997.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household, Individual

    Scope

    Notes

    The scope of WMS-III includes:

    • Household demographics
    • Child information
    • Amenities (Access, use and satisfaction to/with health services)
    • Assets
    • Household consumption and expenditure
    • Computed variables from consumption and expenditure
    Topics
    Topic Vocabulary
    Children & Youth World Bank
    Poverty World Bank
    Keywords
    Children Consumption Assets

    Coverage

    Geographic Coverage

    National Coverage

    Universe

    The survey covered all de jure households and household members (usual residents) from the sampled areas.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Kenya National Bureau of Statistics Ministry of Planning, National Development and Vision 2030
    Funding Agency/Sponsor
    Name Role
    Government of Kenya Survey personnel, transport
    World Bank Financial resources

    Sampling

    Sampling Procedure

    WMS III had a sample size of 10,873 households drawn from 1,107 clusters of the National Sample Survey and Evaluation Programme (NASSEP III). A three-stage sampling scheme was used, First Stage (EA selection within the district), Second Stage (Cluster selection), and Third Stage (Household selection).

    Deviations from the Sample Design

    Efforts to cover the whole country were unsuccessful, primarily due to the lack of adequate resources and insecurity in some districts. It was only possible to capture urban clusters in Gahissa and Wajir districts of North Eastern province while nowhere in Mandera was captured. In Rift Valley province, Samburu, and Turkana districts were not covered and in Eastern province, rural clusters in Isiolo were not captured.

    Weighting

    Sample weights were calculated for each of the data file based on the NASSEP 3 Sampling Frame.

    Survey instrument

    Questionnaires

    Two sets of questionnaires were administered during the survey at different intervals. Phase one covered the core module; phase two administered Agriculture and non-agricultural income modules. The first set of questionnaires, referred to as the Core Welfare Indicators Questionnaire (CWIQ), had two sections as indicated below:
    a) Core Welfare Indicators
    Section I Demographic and Social Amenities
    Part I - Household Roster, covering demographics of household members, Health and family insurance, covering employment of members aged 5 years and above.
    Part II - Child roster (anthropometry).
    Part III - Household amenities.
    Part IV - Household assets
    Section II Household Expenditure Module

    (b) Agriculture Questionnaire and Non Agricultural Income
    The second set of questionnaires covered agriculture activities for rural households and non-agricultural income for both rural and urban households. The module consisted of six parts, as outlined below:

    • Farming and agricultural services
    • Holding characteristics, crops and livestock production Non-agricultural income from informal sector activities Farm labour
    • General farm productivity constraints
    • Changes in agricultural production and food consumption.

    Apart from the questionnaires administered during the survey, an additional module on prevailing rurallurban retail prices of essential commodities was also implemented. Supervisory duties during data collection were carried out by a team of 40 professionals drawn from Ministry headquarters, with support from respective district statistical officers. As previously mentioned, only non-ASAL districts were covered during the survey.

    Data collection

    Dates of Data Collection
    Start End
    1997-02-09 1997-08-01
    Data Collectors
    Name Affiliation
    Kenya National Bureau of Statistics Ministry of Planning and National Development
    Supervision

    Interviewing was conducted by CBS field staff in all the districts. Each field staff was allocated at least three clusters. Each district statistical officer supervised the data collection. They were complemented by a team of cordinators from CBS headquaters

    Data Collection Notes

    Only 2.3 percent of the households were not covered due to operational and logistical constraints arising from desertion, insecurity or inaccessibility for lack of adequate transport.
    Household refusals were minimal, accounting for only 0.1 percent of the cases. All households found to have no responsible member to provide the required information were treated as non-responding households after three call-backs.

    Data processing

    Data Editing

    Data editing for the survey took place at the following stages :

    • Office editing and coding before the scanning of the questions and Structure checking and completeness

    Data Access

    Access authority
    Name Affiliation URL Email
    Director General KNBS http://www.knbs.or.ke directorgeneral @knbs.or.ke
    Citation requirements

    "Kenya National Bureau of Statistics, Welfare Monitoring Survey 3, 1997, Version 2, provided by the Kenya National Data Archive. http://statistics.knbs.or.ke/nada/index.php/catalog"

    Disclaimer and copyrights

    Disclaimer

    KNBS provides these data to external users without any warranty or responsibility implied. KNBS accepts no responsibility for the results and/or implications of any actions resulting from the use of these data.

    Contacts

    Contacts
    Name Affiliation Email URL
    Director General KNBS directorgeneral@knbs.co.ke http://www.knbs.or.ke

    Metadata production

    DDI Document ID

    DDI_KEN_1997_WMS-III_v02_M

    Producers
    Name Affiliation Role
    Kenya National Bureau of Statistics Ministry of Planning, National development and Vision 2030 Original producer
    Accelerated Data Program International Household Survey Network Review of the metadata
    Date of Metadata Production

    2013-05-31

    Metadata version

    DDI Document version

    Version 02 (October 2013). Edited version based on Version 01 DDI that was done by Kenya National Bureau of Statistics and reviewed by Accelerated Data Program, International Household Survey Network.

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