Core Welfare Indicators Questionnaire 2005, Baseline Survey on Poverty, Welfare and Services in Karatu, Kondoa, Mbulu, and Monduli Districts
Tanzania, 2005
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Tanzania | TZA |
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.
- Households
- Individuals
Scope
The scope of the CWIQ includes :
- Household demographics,
- Employment,
- Education,
- Health and nutrition
- Utilisation and satisfaction with social services.
- Anthropometric measurements of household members under the age of 5
- GPS coordinates of the households
- Distance measurements from the respondent's residence to the nearest school, health facility, district capital, water source, food market and public transportation.
Coverage
Subnational. The 2005 CWIQ survey was conducted in the largely rural districts of Karatu, Kondoa, Mbulu, and Monduli.
Producers and sponsors
| Name |
|---|
| EDI Ltd (Economic Development Initiatives) |
| Name |
|---|
| Tanzania-Netherlands Stichting Nederlands Vrijwilligers |
Sampling
The following sampling procedure was applied in each of the four districts : Karatu, Kondoa, Mbulu and Monduli:
Data from the 2002 Census was used to put together lists of all sub-villages in each district. In the first stage of the sampling process sub-villages (also referred to as Enumeration Areas or clusters) were selected in 2 strata, rural and peri-urban. While 26 rural sub-villages were selected randomly from a list of all rural sub-villages in the district, 4 peri-urban sub-villages were selected randomly from a list of all peri-urban sub-villages. Listing of households was then administered by the Lead Supervisors in each of the selected Enumeration Areas (EA's). Two visits were made to each EA. In the first visit chairmen of the village and the sub-village were asked to compile a list of all residents of the sampled sub-village or prepare the Village Register if one existed. In the second visit, the list prepared, or Village Register, were verified by the Lead Supervisors. Upon completion of the listing process, 15 households were randomly selected from the list of each of the sampled sub-villages.In total, 450 households were surveyed; 390 of these were located in rural areas and 60 in peri-urban areas. All households were given statistical weights reflecting the number of households that they represent.
Survey instrument
15 Household Questionnaires were administered and anthropometric measurements were collected for children under age 5
The Community Questionnaire has 3 main parts. The first is an interview with the village chairman and/or Village Executive Officer (VEO). The second part is an interview with the chairman of the village council Finance and Planning Committee. An interview with the chairman of the village council Security Committee concludes the questionnaire.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2005-02 | 2005-03 | Household Listing and Data Collection Monduli |
| 2005-03 | 2005-04 | Household Listing and Data Collection Karatu |
| 2005-04 | 2005-04 | Household Listing and Data Collection Mbulu |
| 2005-04 | 2005-04 | Household Listing and Data Collection Kondoa |
| Name |
|---|
| EDI Ltd (Economic Development Initiatives) |
In each district, a 15 page interview administered in each of the sampled households by an experienced interviewer trained by EDI. The respondent was the most informed person in the household, as identified by the members of the household. In the great majority of cases this person was also the head or spouse of the head of household. Further, a community questionnaire was administered in every village visited in each of the four districts.
Distance Measurements
Global Positioning Systems were used to record the position of every interviewed household. In addition, the coordinates of the nearest health facility with the capacity to conduct malaria tests, the nearest primary school and the nearest regular public transport were recorded in every village. These measurements allow calculation of distances between households and these facilities. In addition, they allow calculation of distances from the household to the centre of the sub-village and from the village to the district capital.
In addition to this distance data, household questionnaire respondents were asked to estimate the distance to the nearest source of water, food market, health facility, primary school, secondary school and public transport. As the result, distances to primary school, health facilities and public transport can be expressed in 3 ways. Firstly, as a distance estimated by the respondent. Secondly, as the respondent’s estimate of the time it takes to travel to the facility. Thirdly, using the GPS coordinates of the location of the facility and the respondent’s residence.
Access policy
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
Before being granted access to the dataset, all users have to formally agree:
|
- Public use files, accessible to all
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 Mbulu District Tanzania (CWIQ) 2004 . Ref. TZA_2005_CWIQ_v01_M. Downloaded from www.microdata.worldbank.org on 29 March 2011.
Disclaimer and copyrights
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.
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank |
Documentation of the DDI |