Kagera Health and Development Survey 1991-1994 (Wave 1 to 4 Panel)
United Republic of Tanzania, Zanzibar, 1991 - 1994
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Reference ID
TZA_1991-1994_KHDS_v01_EN_M_v01_A_OCS
Producer(s)
World Bank, University of Dar es Salaam
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Metadata
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Oct 19, 2020
Last modified
Nov 08, 2022
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Identification
Survey ID Number
TZA_1991-1994_KHDS_v01_EN_M_v01_A_OCS
Title
Kagera Health and Development Survey 1991-1994 (Wave 1 to 4 Panel)
Country
| Name | Country code |
|---|---|
| United Republic of Tanzania, Zanzibar | TZA |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
This dataset provides waves 1 to 4 (1991-1994) of the panel Kagera Health and Development Survey. A fifth wave was conducted in 2004.
Abstract
The Kagera Health and Development Survey was conducted to estimate the economic impact of the death of prime-age adults on surviving household members. This impact was primarily measured as the difference in well-being between households with and without the death of a prime-age adult (15-50), over time. An additional hypothesis was that households in communities with high mortality rates might be less successful in coping with a prime-age adult death. Thus, the research design called for collecting extensive socioeconomic information from households with and without adult deaths in communities with high and low adult mortality rates. Data collected by the KHDS can be used to estimate the "direct costs” of illness and mortality in terms of out-of-pocket expenditures, the "indirect costs" in terms of foregone earnings of the patient, and the "coping costs” in terms of changes in the well-being of other household members and in the allocation on of time and resources within the household as these events unfold. The KHDS was an economic survey. It did not attempt to measure knowledge, attitudes, behaviours or practices related to HIV infection or AIDS in households or communities. It also did not collect blood samples or attempt to measure HIV seroprevalence; this would have substantially affected the costs and complexity of the research and possibly the willingness of households to participate. Information on the cause of death in the KHDS household survey is based on the reports of surviving household members; the researchers maintained that household coping will respond to the perceived cause of death, irrespective of whether the deceased actually died of AIDS. Lastly, the KHDS did not attempt to measure the psycho-social impact of HIV infection or AIDS deaths.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
(a) HOUSEHOLD LEVEL INFORMATION
- Demographic characteristics
- Health status, symptoms, health-seeking behaviour and medical expenditures
- Nutritional status
- Mortality and related expenditures
- Human capital, enrolments and education expenditures
- Fertility and contraceptive use
- Time use in the labour force, other productive and health-related activities
- Income levels and sources
- Assets and durable goods, including housing, farm and business assets
- Consumption expenditure, by component
- Savings, debts, transfers and receipt of assistance
- Characteristics of non-resident parents and children, including their mortality Community-level information
- Demographic characteristics
- Economy and infrastructure
- Education
- Health
- Agriculture
- Culture Health facility information
- Characteristics of the Facility
- Personnel
- Equipment
- Services
- Immunizations
- Family Planning
- Inpatient Services
- Demand
- Fee Exemption Policies School facility information
- Characteristics, enrolments, and fees
- Number of textbooks (Kiswahili, math, other) available for the students of each grade
- Number of classes, enrolled students, enrolled female students, students who attended last week, and two-parent orphans enrolled for each grade
- Assistance provided to the school (added on second passage)
(b) PRICE DATA
- Prices of key consumption goods
- Demographic characteristics
- Health status, symptoms, health-seeking behaviour and medical expenditures
- Nutritional status
- Mortality and related expenditures
- Human capital, enrolments and education expenditures
- Fertility and contraceptive use
- Time use in the labour force, other productive and health-related activities
- Income levels and sources
- Assets and durable goods, including housing, farm and business assets
- Consumption expenditure, by component
- Savings, debts, transfers and receipt of assistance
- Characteristics of non-resident parents and children, including their mortality Community-level information
- Demographic characteristics
- Economy and infrastructure
- Education
- Health
- Agriculture
- Culture Health facility information
- Characteristics of the Facility
- Personnel
- Equipment
- Services
- Immunizations
- Family Planning
- Inpatient Services
- Demand
- Fee Exemption Policies School facility information
- Characteristics, enrolments, and fees
- Number of textbooks (Kiswahili, math, other) available for the students of each grade
- Number of classes, enrolled students, enrolled female students, students who attended last week, and two-parent orphans enrolled for each grade
- Assistance provided to the school (added on second passage)
(b) PRICE DATA
- Prices of key consumption goods
Topics
| Topic | Vocabulary |
|---|---|
| Health | FAO |
| Nutrition | FAO |
| Population & Reproductive Health | FAO |
| Financial Sector | FAO |
| Access to Finance | FAO |
| Migration & Remittances | FAO |
| Agriculture & Rural Development | FAO |
| Food (production, crisis) | FAO |
| Prices statistics | FAO |
Coverage
Geographic Coverage
Regional
Universe
The KHDS attempts to re-interview all respondents interviewed in the original KHDS 1991-1994, irrespective of whether the respondent had moved out of the original village, region or country or was residing in a new household.
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank |
| University of Dar es Salaam |
Sampling
Sampling Procedure
(a) SAMPLE DESIGN AND SELECTION
Qualitative studies of small samples of households can point to hypotheses about the ways in which fatal adult illness affects households. However, policymakers need to know which households are suffering the most, the size of the impact, the extent to which they suffer more than other households in a poor country, and the potential costs and effects of assistance programs. For this purpose, the sample of households must be representative of the population, a random sample for which the probability of selecting each household from the whole population is known. The KHDS used a random sample that was stratified geographically and according to several measures of adult mortality risk. This strategy allowed the team to ensure an adequate number of households with an adult death in the sample while retaining the ability to extrapolate the results to the entire population. The results from the household survey show that stratification of the sample on mortality risk at both the community and household level proved to be worthwhile. Among the 816 households in the original sample that began the survey in the first passage, 91 had an adult death in the course of the survey-more than three times the expected number (25) had the households been drawn at random with no stratification. The 816 households that began the survey in the first passage were observed, on average, for 1.6 years, generating a total of 1,322.7 years of observation. The average probability of an adult death per household per year, according to the 1988 Tanzania Census, is 0.0188. Thus, the expected number of deaths from a random sample of 816 households observed for 1.6 years is 25. Because households were added to the sample to compensate for attrition, a total of 918 households were eventually interviewed at least once. Between the first and last interview, 102 of these households had an adult death, compared to 27 households that would have been expected to have a death from a non-stratified sample.
(b) SAMPLING PROCEDURE
The KHDS household sample was drawn in two stages, with stratification based on geography in the first stage and mortality risk in both stages. It used a two-stage stratified random sampling procedure.
Qualitative studies of small samples of households can point to hypotheses about the ways in which fatal adult illness affects households. However, policymakers need to know which households are suffering the most, the size of the impact, the extent to which they suffer more than other households in a poor country, and the potential costs and effects of assistance programs. For this purpose, the sample of households must be representative of the population, a random sample for which the probability of selecting each household from the whole population is known. The KHDS used a random sample that was stratified geographically and according to several measures of adult mortality risk. This strategy allowed the team to ensure an adequate number of households with an adult death in the sample while retaining the ability to extrapolate the results to the entire population. The results from the household survey show that stratification of the sample on mortality risk at both the community and household level proved to be worthwhile. Among the 816 households in the original sample that began the survey in the first passage, 91 had an adult death in the course of the survey-more than three times the expected number (25) had the households been drawn at random with no stratification. The 816 households that began the survey in the first passage were observed, on average, for 1.6 years, generating a total of 1,322.7 years of observation. The average probability of an adult death per household per year, according to the 1988 Tanzania Census, is 0.0188. Thus, the expected number of deaths from a random sample of 816 households observed for 1.6 years is 25. Because households were added to the sample to compensate for attrition, a total of 918 households were eventually interviewed at least once. Between the first and last interview, 102 of these households had an adult death, compared to 27 households that would have been expected to have a death from a non-stratified sample.
(b) SAMPLING PROCEDURE
The KHDS household sample was drawn in two stages, with stratification based on geography in the first stage and mortality risk in both stages. It used a two-stage stratified random sampling procedure.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 1991-09 | 1992-05 | Wave 1 |
| 1992-11 | 1992-11 | Wave 2 |
| 1993-05 | 1993-06 | Wave 3 |
| 1994-01 | Wave 4 |
Data Collection Mode
Face-to-face [f2f]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | [email protected] | surveys.worldbank.org/lsms |
Confidentiality
Public Use Files (PUFs) are available to anyone agreeing to respect a core set of easy-to-meet conditions. These data are made easily accessible because the risk of identifying individual respondents or data providers is considered to be low. Before gaining access to these data, users are asked to register and to read and agree on the following conditions.
- Data and other material provided by the Microdata Library will be used solely by the user, and shall not be redistributed or sold to other individuals, institutions or organizations without the Microdata Library's prior written agreement, and only subject to such conditions as may accompany such consent.
- The data will be used for statistical and scientific research purposes only. They will be used solely for generating, and perhaps reporting, aggregated information and not for investigations into specific individuals or organizations. In other words, the data shall be treated as a finished product - it may be used as a foundation for further work, but no reverse engineering or "upstream research" into the sources of the data itself will be permitted.
- No attempt will be made to identify respondents or microdata providers, and no use will be made of the identity of any person, facility or establishment discovered inadvertently. Any such discovery would immediately be reported to the Microdata Library, to allow us to evaluate further use, apply further statistical disclosure control methods, impose further restrictions on access, or appropriately re-classify the data.
- No attempt will be made to create links between datasets provided by the Microdata Library, or between Microdata Library data and other datasets that could identify individuals or organizations.
- Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from the Microdata Library will cite the source, in line with the citation requirement provided with the dataset.
- The original collector of the data, the Microdata Library, and the relevant funding agencies bear no responsibility for any use of the data or for interpretations or inferences based upon such uses.
Access conditions
In receiving these data it is recognized that the data are supplied for use within my organization, and I agree to the following stipulations as conditions for the use of the data:
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: [email protected]
3. The researcher will refer to the 2004 Kagera, Tanzania Health and Development Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
1. The data are supplied solely for the use described in this form and will not be made available to other organizations or individuals. Other organizations or individuals may request the data directly.
2. Three copies of all publications, conference papers, or other research reports based entirely or in part upon the requested data will be supplied to:
The World Bank
Development Economics Research Group
LSMS Database Administrator
MSN MC3-306
1818 H Street, NW
Washington, DC 20433, USA
tel: (202) 473-9041
fax: (202) 522-1153
e-mail: [email protected]
3. The researcher will refer to the 2004 Kagera, Tanzania Health and Development Survey as the source of the information in all publications, conference papers, and manuscripts. At the same time, the World Bank is not responsable for the estimations reported by the analyst(s).
4. Users who download the data may not pass the data to third parties.
5. The database cannot be used for commercial ends, nor can it be sold.
Citation requirements
Use of the dataset must be acknowledged by including a citation which would include:
- Identification of the Primary Investigator
- Title of the survey (including the country name and year of implementation)
- Survey reference number
- Source and date of download
Example: World Bank and University of Dar es Salaam.Tanzania, Kagera Health and Development Survey 1991-1994 (Wave 1 to 4 Panel). Ref. TZA_1991_KHDS_v01_M. Dataset downloaded from the World Bank Microdata Library (www.microdata.worldbank.org) on [date]
- Identification of the Primary Investigator
- Title of the survey (including the country name and year of implementation)
- Survey reference number
- Source and date of download
Example: World Bank and University of Dar es Salaam.Tanzania, Kagera Health and Development Survey 1991-1994 (Wave 1 to 4 Panel). Ref. TZA_1991_KHDS_v01_M. Dataset downloaded from the World Bank Microdata Library (www.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_1991-1994_KHDS_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 | The World Bank | Documentation of the DDI |
DDI Document version
TZA_1991-1994_KHDS_v01_EN_M_v01_A_OCS_v01