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Core Welfare Indicators Questionnaire 2004

Tanzania, 2004
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Reference ID
TZA_2004_CWIQ_v01_M
Producer(s)
EDI Ltd (Economic Development Initiatives)
Metadata
DDI/XML JSON
Study website
Created on
Jul 10, 2013
Last modified
Mar 29, 2019
Page views
14255
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  • Study Description
  • Data Dictionary
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  • 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

    TZA_2004_CWIQ_v01_M

    Title

    Core Welfare Indicators Questionnaire 2004

    Subtitle

    Baseline Survey on Poverty, Welfare and Services in Rural Shinyanga Districts

    Country
    Name Country code
    Tanzania TZA
    Study type

    Core Welfare Indicators Questionnaire [hh/cwiq]

    Series Information

    Rural Shinyanga CWIQ (2004) was the first survey of its kind to be administered in Shinyanga Region. Repeating the survey in, say, one or two years time would be advisable as it will give an indication of the direction in which the welfare of households is changing and how this is influenced by the policies implemented Although beyond the purpose of this study, the results of Rural Shinyanga CWIQ could be set against those of other CWIQ surveys that have been implemented in other districts and regions of Tanzania: Mbeya Urban District, Singida Urban District, Mtwara Urban District and Rural Kagera Region. African countries that have implemented nationally representative CWIQ surveys include Malawi and Ghana.

    Abstract

    The Core Welfare Indicators Questionnaire (CWIQ) currently constitutes one of the largest socio-economic household survey databases on Tanzania. Since 2003 EDI has interviewed roughly 20,000 households in 35 different districts. For 9 districts repeat surveys have been organised to track changes over time.

    Rationale: Absence of district level survey data does not rhyme with the devolution of power to districts. Tanzania is undergoing a decentralisation process whereby each of its roughly 128 districts is becoming an increasingly important policy actor. A district taking on this challenge needs accurate information to monitor and develop its own policies. Much relevant information is currently not available as national statistics are not representative at district level and many of the routine data collection mechanisms are still under development. CWIQ then provides an attractive, one-stop survey-based method to collect basic development indicators. Furthermore, the survey results can be disseminated - through Swahili briefs and posters - to a district's population; thus increasing the extent to which people are able to hold their local governments accountable. Exciting new ground is being broken on such population-wide dissemination by the Prime Minister's Office.

    Methodology: The data are collected through a small 10-page questionnaire, called the Core Welfare Indicators Questionnaire (CWIQ). The questionnaire and data software constitute an off-the-shelf survey package developed by the World Bank to produce standardised monitoring indicators of welfare. The questionnaire is purposively concise and is designed to collect information on household demographics, employment, education, health and nutrition as well as utilisation and satisfaction with social services. Questionnaires are scannable, with interviewers shading bubbles and writing numbers later recognised by the scanning software. The data system is fully automated allowing the results to roll out within weeks of the fieldwork.

    Funding: projects are typically funded by organisations that care about making decentralisation work in Tanzania. CWIQ is a method to promote evidence-based policy formulation and debate in the district and a tool for the population to hold their local governments accountable. With funding from the RNE (Royal Netherlands Embassy) and SNV (Stichting Nederlands Vrijwilligers), CWIQ surveys were implemented between 2003-2005 in 16 districts. In 2006/07 PMO-RALG (Prime Minister's Office - Regional Administration and Local Government) commissioned EDI to cover a further 28 districts. In 9 of these districts this constituted a repeat survey and thus a unique opportunity arises to monitor changes that occurred in the district over this time period.

    Dissemination: EDI disseminated the results of CWIQ on posters and briefs to district level stakeholders (councillors, district officials, NGOs, CBOs, Advocacy Groups, MPs, ‘interested citizens', etc.), with the aim at district level, to: (i) promote evidence-based policy debate, (ii) promote evidence-based policy formulation, (iii) provide tools for district level M&E and (iv) increase accountability of LGA to citizens.

    Public Domain: Currently in the public domain are (i) all CWIQ reports - note that Shinyanga 2004 and Kagera 2003 reports are organised into one region-wide report (ii) Swahili and English briefs for 5 pilot dissemination districts funded by the Prime Minister's Office - and (iii) raw data for all CWIQs conducted between 2003 and 2007.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Households
    • Individuals

    Scope

    Notes

    The scope of the CWIQ includes :

    • Household demographics,
    • Employment,
    • Education,
    • Health and nutrition
    • Utilisation and satisfaction with social services

    Coverage

    Geographic Coverage

    Rural districts in the Shinyanga region: Kishapu, Shinyanga Rural, Maswa, Meatu, Bukombe, Bariadi and Kahama

    Producers and sponsors

    Primary investigators
    Name
    EDI Ltd (Economic Development Initiatives)
    Funding Agency/Sponsor
    Name
    Royal Netherlands Embassy - District Rural Development Programme
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Sonya Krutikov EDI Ltd Analysis and Report Writing
    Tadeo Rweyemamu EDI Ltd Analysis and Report Writing
    Joachim De Weerdt EDI Ltd Analysis and Report Writing
    James Mitchener EDI Ltd Analysis and Report Writing
    Louise Barnett EDI Ltd Supervision of Budgetary, Financial and Administrative Aspects
    Albina Chuwa National Bureau of Statistics Management of Sampling Design, Household Listing, Organization of Field Work and Data Entry
    Innocent Ngalinda Institute of Financial Management Management of Sampling Design, Household Listing, Organization of Field Work and Data Entry

    Sampling

    Sampling Procedure

    The Rural Shinyanga CWIQ was sampled to be representative at district level in all seven rural districts of Shinyanga region: Kahama, Bukombe, Bariadi, Meatu, Maswa, Shinyanga Rural, and Kishapu. Data from the 2002 Census was used to select 15 households in 30 Enumeration Areas in each rural district of the Shinyanga region. This brings the total number of households to 450 per district or 3,150 at rural regional level. Households were stratified into rural and peri-urban areas and given statistical weights reflecting the number of households they represent.

    Survey instrument

    Questionnaires

    The data are collected through a small 10-page questionnaire (downloadable below), called the Core Welfare Indicators Questionnaire (CWIQ). The questionnaire and data software constitute an off-the-shelf survey package developed by the World Bank to produce standardised monitoring indicators of welfare.Questionnaires are scannable, with interviewers shading bubbles and writing numbers later recognised by the scanning software. The data system is fully automated allowing the results to roll out within weeks of the fieldwork.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2004-02 2004-02 Listing of Households
    2004-03 2004-04 Questionnaire Administration to Sampled Households
    2004-05 2004-07 Data Analysis and Report Writing

    Data processing

    Data Editing

    Due to logistical constraints the completed questionnaires could not be scanned and automatically analysed through CWIQ software. This meant that the lay-out of the questionnaire had to be slightly redesigned to allow easy manual data entry. In order to avoid any problems with coding, missing variables, outliers etc. and to keep continuous thorough checks throughout the data analysis process, all tables and figures were manually produced and their consistency with the data assessed.CWIQ does not collect information on consumption and thus cannot directly calculate poverty rates. Therefore the 2000/01 Household Budget Survey (HBS) was used to determine predictors of poverty that are included in CWIQ, or could be easily added without delaying the field work. Through regression analysis weights for each poverty predictor were determined. By way of this weighted sum of poverty predictors each household can be predicted to either lie above or below the poverty line. This allows Rural Shinyanga CWIQ to analyse all data by (predicted) poverty status.

    Data Access

    Access authority
    Name Affiliation URL Email
    Joachim De Weerdt - Research Director EDI Ltd (Economic Development Initiatives) http://www.edi-africa.com/research/cwiq.htm j.deweerdt@edi-africa.com
    EDI Ltd (Economic Development Initiatives) http://www.edi-africa.com/research/cwiq.htm research@edi-africa.com
    EDI Ltd (Economic Development Initiatives) http://www.edi-africa.com/research/cwiq.htm consultancy@edi-africa.com
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
    Access conditions
    • Public use files, accessible to all
    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

    Example
    EDI Ltd (Economic Development Initiatives).Core Welfare Indicators Questionnaire - Baseline Survey on Poverty, Welfare Services in Rural Shinyanga Districts Tanzania (CWIQ) 2004 . Ref. TZA_2004_CWIQ_v01_M. Downloaded from www.microdata.worldbank.org on 29 March 2011.

    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    Joachim De Weerdt - Research Director EDI Ltd (Economic Development Initiatives) j.deweerdt@edi-africa.com http://www.edi-africa.com/research/cwiq.htm

    Metadata production

    DDI Document ID

    DDI_TZA_2004_CWIQ_v01_M

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

    2013-02-21

    Metadata version

    DDI Document version

    Version 01 (February 2013)

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