National Panel Survey 2008-2009
Tanzania, 2008 - 2009
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Reference ID
TZA_2008-2009_NPS-W1_v01_EN_M_v01_A_OCS
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National Bureau of Statistics
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Oct 16, 2020
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Identification
Survey ID Number
TZA_2008-2009_NPS-W1_v01_EN_M_v01_A_OCS
Title
National Panel Survey 2008-2009
Country
| Name | Country code |
|---|---|
| Tanzania | TZA |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
Plans are for the NPS to be repeated biennially, i.e. every 2 years. Thus round 2 will begin in late 2010. The term “panel” in the NPS title refers to surveys that return to the same interviewee on multiple occasions over time. The 2008-2009 round is the first round of the NPS. However, in future years the NPS will return to all of the households interviewed in 2008-2009 to track their outcomes over time.
Abstract
The NPS is nationally-representative household survey which provides measures of poverty, agricultural yields, and other key development indicators. The NPS is an “integrated” household survey, in that it covers a broad range of topics in the same questionnaire - from education and health to crime, gender-based violence and a range of other sections - to allow analysis of the links between sectors and the determinants of development outcomes. The National Panel Survey (NPS) was designed to meet three principle objectives:
1. The first, overarching goals was to monitor progress toward the goals set out in the National Strategy for Growth and Poverty Reduction (aka, the MKUKUTA goals) and other national development objectives (MDG, PAF, etc.). The NPS provides high-quality, annual data on a long list of MKUKUTA indicators that is both nationally representative and comparable over time. As such, the NPS is intended to provide a key benchmark for tracking progress on poverty reduction and a wide range of other development indicators.
2. The second goal of the NPS is to facilitate better understanding of the determinants of poverty reduction in Tanzania. The NPS will enable detailed study of poverty dynamics at two levels. In addition to tracking the evolution of aggregate poverty numbers at the national level in years between Household Budget Surveys, the NPS will enable analysis of the micro-level determinants of poverty reduction at the household level. Panel data will provide the basis for analysing the causal determinants of income growth, increasing or decreasing yields, improvements in educational achievement, and changes in the quality of public service provision over time by linking changes in these outcomes to household and community characteristics.
3. A third objective of the NPS is to provide data to evaluate the impact of specific policies and programs. With its national coverage and long time frame, the NPS will provide an ideal platform to conduct rigorous impact evaluations of government and non-government development initiatives. To achieve this goal, the National Bureau of Statistics will need to work in close collaboration with the relevant line ministries to link administrative data on relevant projects to changes in development outcomes measured in the survey.
1. The first, overarching goals was to monitor progress toward the goals set out in the National Strategy for Growth and Poverty Reduction (aka, the MKUKUTA goals) and other national development objectives (MDG, PAF, etc.). The NPS provides high-quality, annual data on a long list of MKUKUTA indicators that is both nationally representative and comparable over time. As such, the NPS is intended to provide a key benchmark for tracking progress on poverty reduction and a wide range of other development indicators.
2. The second goal of the NPS is to facilitate better understanding of the determinants of poverty reduction in Tanzania. The NPS will enable detailed study of poverty dynamics at two levels. In addition to tracking the evolution of aggregate poverty numbers at the national level in years between Household Budget Surveys, the NPS will enable analysis of the micro-level determinants of poverty reduction at the household level. Panel data will provide the basis for analysing the causal determinants of income growth, increasing or decreasing yields, improvements in educational achievement, and changes in the quality of public service provision over time by linking changes in these outcomes to household and community characteristics.
3. A third objective of the NPS is to provide data to evaluate the impact of specific policies and programs. With its national coverage and long time frame, the NPS will provide an ideal platform to conduct rigorous impact evaluations of government and non-government development initiatives. To achieve this goal, the National Bureau of Statistics will need to work in close collaboration with the relevant line ministries to link administrative data on relevant projects to changes in development outcomes measured in the survey.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The scope of the first NPS in Tanzania is:
(a) HOUSEHOLD QUESTIONNAIRE:
Household member roster
Education
Health
Labour
Food consumption outside the household
Migration
Governance
Violence against women
Housing, water and sanitation
Food consumption
Non-food consumption
Assets
Assistance and groups
Credit
Crime and justice
Recent shocks to household welfare
Deaths in household
(b) AGRICULTURE QUESTIONNAIRE
Household roster
Plot roster
Crops by plot (harvests, losses, seeds, sales, post-harvest losses, storage)
Permanent crops
Processed agricultural products and by-products
Livestock
Livestock by-products
Farm implements and machinery
Fishery and aquaculture
Extension
(c) COMMUNITY QUESTIONNAIRE
Direct observation
Access to basic services
Investment projects
Land use
Agriculture
Demography and family issues
Governance
Roster of community leaders
Crime and policing
Market prices
(a) HOUSEHOLD QUESTIONNAIRE:
Household member roster
Education
Health
Labour
Food consumption outside the household
Migration
Governance
Violence against women
Housing, water and sanitation
Food consumption
Non-food consumption
Assets
Assistance and groups
Credit
Crime and justice
Recent shocks to household welfare
Deaths in household
(b) AGRICULTURE QUESTIONNAIRE
Household roster
Plot roster
Crops by plot (harvests, losses, seeds, sales, post-harvest losses, storage)
Permanent crops
Processed agricultural products and by-products
Livestock
Livestock by-products
Farm implements and machinery
Fishery and aquaculture
Extension
(c) COMMUNITY QUESTIONNAIRE
Direct observation
Access to basic services
Investment projects
Land use
Agriculture
Demography and family issues
Governance
Roster of community leaders
Crime and policing
Market prices
Topics
| Topic | Vocabulary |
|---|---|
| Health | FAO |
| Food (production, crisis) | FAO |
| Livestock | FAO |
| Migration & Remittances | FAO |
| Gender | FAO |
| Infrastructure | FAO |
| Water | FAO |
| Social Development | FAO |
| Community Driven Development | FAO |
| Financial Sector | FAO |
| Access to Finance | FAO |
| Land (policy, resource management) | FAO |
| Economic Policy | FAO |
| Trade | FAO |
| Prices statistics | FAO |
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| National Bureau of Statistics | Ministry of Finance and Planning |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Living Standard Measurement Study Team | World Bank | Technical assistance |
Sampling
Sampling Procedure
In order to monitor progress toward the MKUKUTA goals, it was vital that the NPS have a nationally-representative sample design. As such, in 2008/09 the NPS interviewed 3,280 households spanning all regions and all districts of Tanzania, both mainland and Zanzibar. The sample size of 3,280 households was calculated to be sufficient to produce national estimates of poverty, agricultural production and other key indicators. It will also be possible in the final analysis to produce disaggregated poverty rates for 4 different strata: Dar es Salaam, other urban areas on mainland Tanzania, rural mainland Tanzania, and Zanzibar. Alternatively, estimates of most key indicators can be produced at the zone level, as used for the Demographic and Health Survey (DHS) reports and other surveys. There are 7 of these zones in total on the mainland: North, Central, Eastern, South, Southern Highlands, West and Lake. As with any survey though, the confidence of the estimates declines as statistics are disaggregated into smaller zones.
Due to the limits of the sample size it is not possible to produce reliable statistics at the regional or district level. The guiding principle in the choice of sample size, following standard practice for NBS surveys, was to produce estimates with a 95% confidence interval no larger than 5% of the mean for key indicators. In this case, household consumption and maize yields were used as the basis for those calculations. The NPS was based on a stratified, multi-stage cluster sample design. The principle strata were Mainland versus Zanzibar, and within these, rural versus urban areas, with a special stratum set aside for Dar es Salaam. Within each stratum, clusters were chosen at random, with the probability of selection proportional to their population size. In urban areas a 'cluster' was defined as a census enumeration area (from the 2002 Population and Housing Census), while in rural areas an entire village was taken as a cluster. This primary motivation for using an entire village in rural areas was for consistency with the HBS 2007 sample which did likewise. Based on the 2002 Population and Housing Census, rural residents comprise roughly 77% of the population, compared with 63% of the NPS sample. The NPS sample gives slighter greater weight to urban areas due to the higher levels of inequality in these areas and added difficulty in estimating poverty rates and other statistics. Similarly, Zanzibar comprised roughly 3% of the Tanzanian population in the 2002 census, but constitutes nearly 15% of the NPS sample, so as to allow separate Zanzibar-specific estimates to be presented for most indicators.
Finally, although it has been stressed that the 2008/09 round is the first year of the NPS, the sample design for year 1 was deliberately linked to the 2007 HBS to facilitate comparison between the surveys. On mainland Tanzania, 200 of the 350 in the NPS were drawn from the 2007 HBS sample (this included all 140 rural HBS clusters). Within these 200 HBS clusters, a portion of the (8) households sampled for the NPS were taken from the sample of (24) HBS households in the cluster. (The number of HBS households sampled varied from cluster to cluster, in proportion to the share of the population, as measured through a comprehensive household listing, that had remained stationary in the cluster since the time of the HBS. This was done to ensure that the NPS sample remained nationally representative despite possible non-random attrition of HBS households.) This design created a panel of approximately 1,200 HBS households - interviewed in both the HBS and NPS - within the total sample of 3,280 NPS households.
Due to the limits of the sample size it is not possible to produce reliable statistics at the regional or district level. The guiding principle in the choice of sample size, following standard practice for NBS surveys, was to produce estimates with a 95% confidence interval no larger than 5% of the mean for key indicators. In this case, household consumption and maize yields were used as the basis for those calculations. The NPS was based on a stratified, multi-stage cluster sample design. The principle strata were Mainland versus Zanzibar, and within these, rural versus urban areas, with a special stratum set aside for Dar es Salaam. Within each stratum, clusters were chosen at random, with the probability of selection proportional to their population size. In urban areas a 'cluster' was defined as a census enumeration area (from the 2002 Population and Housing Census), while in rural areas an entire village was taken as a cluster. This primary motivation for using an entire village in rural areas was for consistency with the HBS 2007 sample which did likewise. Based on the 2002 Population and Housing Census, rural residents comprise roughly 77% of the population, compared with 63% of the NPS sample. The NPS sample gives slighter greater weight to urban areas due to the higher levels of inequality in these areas and added difficulty in estimating poverty rates and other statistics. Similarly, Zanzibar comprised roughly 3% of the Tanzanian population in the 2002 census, but constitutes nearly 15% of the NPS sample, so as to allow separate Zanzibar-specific estimates to be presented for most indicators.
Finally, although it has been stressed that the 2008/09 round is the first year of the NPS, the sample design for year 1 was deliberately linked to the 2007 HBS to facilitate comparison between the surveys. On mainland Tanzania, 200 of the 350 in the NPS were drawn from the 2007 HBS sample (this included all 140 rural HBS clusters). Within these 200 HBS clusters, a portion of the (8) households sampled for the NPS were taken from the sample of (24) HBS households in the cluster. (The number of HBS households sampled varied from cluster to cluster, in proportion to the share of the population, as measured through a comprehensive household listing, that had remained stationary in the cluster since the time of the HBS. This was done to ensure that the NPS sample remained nationally representative despite possible non-random attrition of HBS households.) This design created a panel of approximately 1,200 HBS households - interviewed in both the HBS and NPS - within the total sample of 3,280 NPS households.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2008-10 | 2009-09 |
Data Collection Mode
Face-to-face [f2f]
Access policy
Confidentiality
https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
The Primary Data Investigator, the Other Investigators, and the Representative of the Receiving Organization agree to comply with the following:
- The data will only be processed for the stated statistical purpose. They will be used solely for reporting of aggregated information and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
- The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the NBS. The identification will not be revealed to any other person not included in the Data Access Agreement.
- Any books, articles, conference papers, thesis, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
- An electronic copy of all reports and publications based on the requested data will be sent to the NBS.
- The original collector of the data, the NBS, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
- Any changes to the project specification, security arrangements, personnel or organization detailed in this application form, shall be made upon approval by NBS. Where there is a change to the employer organization of the Primary Data Investigator this will involve a fresh application being made and termination of the original project.
Failure to comply with the NBS directives will amount to a breach of the agreement and will result into legal proceedings.
- The data will only be processed for the stated statistical purpose. They will be used solely for reporting of aggregated information and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
- The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the NBS. The identification will not be revealed to any other person not included in the Data Access Agreement.
- Any books, articles, conference papers, thesis, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
- An electronic copy of all reports and publications based on the requested data will be sent to the NBS.
- The original collector of the data, the NBS, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
- Any changes to the project specification, security arrangements, personnel or organization detailed in this application form, shall be made upon approval by NBS. Where there is a change to the employer organization of the Primary Data Investigator this will involve a fresh application being made and termination of the original project.
Failure to comply with the NBS directives will amount to a breach of the agreement and will result into legal proceedings.
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:
National Bureau of Statistics. Tanzania National Panel Survey 2008-2009 (Round 1). Ref. TZA_2008_NPS-R1_v03_M. Dataset downloaded from http://microdata.worldbank.org on [date].
- 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:
National Bureau of Statistics. Tanzania National Panel Survey 2008-2009 (Round 1). Ref. TZA_2008_NPS-R1_v03_M. Dataset downloaded from http://microdata.worldbank.org on [date].
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
Metadata production
DDI Document ID
DDI_TZA_2008-2009_NPS-W1_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Development Economics Data Group | DECDG | World Bank | Documentation of the DDI |
DDI Document version
TZA_2008-2009_NPS-W1_v01_EN_M_v01_A_OCS_v01