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Core Welfare Indicators Questionnaire (CWIQ)

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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 (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. 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.

LGAREGIONFULL REPORTBRIEFSRAW DATA IN PUBLIC DOMAIN?COMMISSIONED BY
Bariadi DCShinyanga2004 & 2006English – SwahiliYESRNE & PMO-RALG
Biharamulo DCKagera2003YESRNE
Bukoba DCKagera2003 & 2006English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Bukombe DCShinyanga2004 & 2006English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Bunda DCMara2006English – SwahiliYESPMO-RALG
Chamwino DCDodoma2007English – SwahiliYESPMO-RALG
Dodoma MCDodoma2007English – SwahiliYESPMO-RALG
Hanang DCManyara2006English – SwahiliYESPMO-RALG
Kahama DCShinyanga2004 & 2006English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Karagwe DCKagera2003 & 2006English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Karatu DCAursha2005YESSNV
Kasulu DCKigoma2006English – SwahiliYESPMO-RALG
Kibondo DCKigoma2006English – SwahiliYESPMO-RALG
Kigoma DCKigoma2006English – SwahiliYESPMO-RALG
Kilosa DCMorogoro2007English – SwahiliYESPMO-RALG
Kishapu DCShinyanga2004 & 2007English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Kondoa DCDodoma2005YESSNV
Korogwe DCDodoma2007English – SwahiliYESPMO-RALG
Maswa DCShinyanga2004 & 2007English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Mbulu DCManyara2005YESSNV
Monduli DCArusha2005YESSNV
Meatu DCShinyanga2004 & 2007English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Morogoro DCMorogoro2007English – SwahiliYESPMO-RALG
Mpwapwa DCDodoma2007English – SwahiliYESPMO-RALG
Muheza DCTanga2007English – SwahiliYESPMO-RALG
Muleba DCKagera2003YESRNE
Musoma DCMara2006English – SwahiliYESPMO-RALG
Ngara DCKagera2003 & 2006English – SwahiliYES, BOTH YEARSRNE & PMO-RALG
Ngorongoro DCArusha2006English – SwahiliYESPMO-RALG
Rufiji DCPwani2007English – SwahiliYESPMO-RALG
Shinyanga DCShinyanga2004YESRNE
Shinyanga MCShinyanga2006English – SwahiliYESPMO-RALG
Singida DCSingida2007English – SwahiliYESPMO-RALG
Tanga MCTanga2007English – SwahiliYESPMO-RALG
Temeke MCDar2007English – SwahiliYESPMO-RALG

DC: District Council (i.e. rural areas)

MC: Municipal Council (i.e. urban areas)

PMO-RALG: Prime Minister’s Office – Regional Administration and Local Government

RNE: Royal Netherlands Embassy

SNV: Stichting Nederlands Vrijwilligers


Download Comparative Report

A Comparative Report comparing results of 16 CWIQ surveys in Shinyanga, Kagera and the Northern Highlands

Download Raw Data Sets

Kagera 2003 data (5 districts)

Shinyanga 2004 data (7 districts)

SNV 2005 data (4 districts)

PMO-RALG 2006/07 data (28 districts). Download also the 2006/07 CWIQ Questionnaire (in Swahili) and the 2006/07 Data Dictionary (doubles as translation for questionniare).

For data documentation please refer to the manuals.

Please drop me an e-mail at [email protected] to say for what purpose you are using these data and keep me informed of analysis based on them.

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