Identification
Survey ID Number
BDI_2004_CFSVA_v01_M
Title
Comprehensive Food Security and Vulnerability Analysis 2004
Country
| Name | Country code |
|---|---|
| Burundi | BDI |
Study type
Comprehensive Food Security & Vulnerability Analysis [hh/cfsva]
Series Information
The CFSVA process generates a document that describes the food security status of various segments of a population over various parts of a country or region, analyzes the underlying causes of vulnerability, and recommends appropriate interventions to deal with the problems. CFSVAs are undertaken in all crisis-prone food-insecure countries. The shelf life of CFSVAs is determined by the indicators being collected and reported. In most situations, CFSVA findings are valid for three to five years, unless there are drastic food security changes in the meantime.
Abstract
The overall objective of the assessment was to collect baseline information to inform policy, guide in the formulation of food and non-food based safety net programs and decision making that would lead to improved household food and livelihood security for households in rural Burundi. Specific objectives of the study include:
- To determine who are the hungry, poor, and vulnerable people of rural Burundi
- To know where they live
- To understand the causes of vulnerability and food insecurity
- To identify areas of intervention where food aid has an advantage in addressing the problems of food security and vulnerability
- To provide a basis for developing and improving existing food security monitoring systems
- To determine who are the hungry, poor, and vulnerable people of rural Burundi
- To know where they live
- To understand the causes of vulnerability and food insecurity
- To identify areas of intervention where food aid has an advantage in addressing the problems of food security and vulnerability
- To provide a basis for developing and improving existing food security monitoring systems
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Community
- Individual
- Community
- Individual
Version
Version Date
2012-07-30
Scope
Notes
- Household: household demography and circumstances, asset and land ownership, income and expenditure data.
- Community: demography, economy and infrastructure, education, health, agriculture.
- Provincial: current status and causes of food insecurity in the province.
- Market: staple foods and their prices.
- Community: demography, economy and infrastructure, education, health, agriculture.
- Provincial: current status and causes of food insecurity in the province.
- Market: staple foods and their prices.
Coverage
Geographic Coverage
National coverage (except Bujumbura Marie)
Universe
The survey covered household (group of individuals sharing same budget for basic expenses, including food, housing, health and sanitation) heads, women between 15-49 years plus their pre-school children (0-59 months) resident of that household.
A household is defined as a group of people currently living and eating together "under the same roof" (or in same compound if the household has 2 structures).
A household is defined as a group of people currently living and eating together "under the same roof" (or in same compound if the household has 2 structures).
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| United Nations World Food Programme | United Nations |
Producers
| Name | Role |
|---|---|
| Institut de Statistiques et d'Etudes Economiques du Burundi | Technical assistance in data collection, data entry and data cleaning |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United Nations World Food Programme | WFP | Financial Support |
Sampling
Sampling Procedure
Sampling of communities and households was done using the latest data of number of households by colline provided by ISTEEBU. A systematic random sample of collines was chosen, with their probability of being chosen proportional to the number of households in the colline. Once this was done, one sous-colline was chosen at random within the colline. Population data was not available at the sous-colline level; however, sous-collines within a colline are generally similar in size, so the simple random selection of one sous-colline in each selected colline was estimated not to have a significant biasing effect on the sample.
Within each selected sous-colline, enumerators conducted one community key informant interview and 10 household interviews. Households were randomly selected from a list of all households in the sous colline. When the household members were not present, the household was revisited later in the day. If no one was available, a replacement household was chosen at random from the list of households in the community.
For the maternal and child health and nutrition sections of the household survey, only women of reproductive age (15 to 49 years) and their children were eligible for inclusion in the sample. If there was more than one eligible woman in a household, only one was chosen at random, and all her children 0-59 months of age were included in the survey. Although this method may produce slightly biased results, the resources were not available to include all eligible women and children in a household. Additionally, the purpose of the study was not to produce precise national or sub-national estimates of the nutritional status of children, but rather to produce estimates that would provide information on the utilization aspect of household food security.
This method of household and sous-colline sampling produces a self-weighting sample, which facilitates analysis in that results can be produced nationally, provincially, by natural region, and where sample size allows, by commune. The overall sample size gives sufficient numbers in all natural zones, provinces, and many communes.
Although commune level results give the most information for programming within a province, providing accurate estimates for all the communes in the country (approx. 120) would require an extremely large overall sample size. This sampling methodology provides 10 to 70 household interviews per commune. In some communes, there were sufficient household interviews conducted to produce commune level estimates. However, where the sample size per commune was less than 40, groups of communes were clustered together to produce cluster-level estimates. Despite the clustering, the sample size per commune/commune cluster is still too small to produce statistically representative results and thus the findings should be interpreted with caution and should be used as general and comparative estimates rather than precise figures.
Within each selected sous-colline, enumerators conducted one community key informant interview and 10 household interviews. Households were randomly selected from a list of all households in the sous colline. When the household members were not present, the household was revisited later in the day. If no one was available, a replacement household was chosen at random from the list of households in the community.
For the maternal and child health and nutrition sections of the household survey, only women of reproductive age (15 to 49 years) and their children were eligible for inclusion in the sample. If there was more than one eligible woman in a household, only one was chosen at random, and all her children 0-59 months of age were included in the survey. Although this method may produce slightly biased results, the resources were not available to include all eligible women and children in a household. Additionally, the purpose of the study was not to produce precise national or sub-national estimates of the nutritional status of children, but rather to produce estimates that would provide information on the utilization aspect of household food security.
This method of household and sous-colline sampling produces a self-weighting sample, which facilitates analysis in that results can be produced nationally, provincially, by natural region, and where sample size allows, by commune. The overall sample size gives sufficient numbers in all natural zones, provinces, and many communes.
Although commune level results give the most information for programming within a province, providing accurate estimates for all the communes in the country (approx. 120) would require an extremely large overall sample size. This sampling methodology provides 10 to 70 household interviews per commune. In some communes, there were sufficient household interviews conducted to produce commune level estimates. However, where the sample size per commune was less than 40, groups of communes were clustered together to produce cluster-level estimates. Despite the clustering, the sample size per commune/commune cluster is still too small to produce statistically representative results and thus the findings should be interpreted with caution and should be used as general and comparative estimates rather than precise figures.
Deviations from the Sample Design
With a sample size of 43 households, one can be 95% sure that reported prevalences are within a maximum of 15 percentage points of the true value. A sample size of 68 gives 95% confidence that the reported prevalence is at least within 12 percentage points of the true value. This does not account for the design effect.
Response Rate
94%
Weighting
Weights were computed as 1/probability of selection. The probability of selection was equal to the probability of selection of the cluster multiplied by the probability of selection within the cluster. The weights were normalized using the national probability of sampling of a household.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2004-07-26 | 2004-08-23 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name | Abbreviation |
|---|---|
| Institut de Statistiques et d'Etudes Economiques du Burundi | ISTEEBU |
Questionnaires
Questionnaires
The household questionnaire was designed using examples from previous WFP VAM surveys from Central African Republic and Sierra Leone, and emergency food needs assessments done in Uganda, along with substantial inputs from the country office staff, partners, ISTEEBU, and Enumerators. It also incorporated the Coping Strategies Index developed by WFP and CARE. It consisted of modules regarding household demography and circumstances, housing and household facilities, asset ownership, land ownership and use, income and expenditure data, food consumption, risks and shocks, coping strategies, and maternal and child health and nutrition.
The community questionnaire was patterned after one used for the Central African Republic Vulnerability and Food Security survey conducted in 2004 by WFP. A combination of open, semi-closed, and closed questions were used to gather information on demographics, economy and infrastructure, education, health, agriculture, shocks and coping strategies, and program participation and preferences.
The provincial questionnaire was designed using examples from previous WFP Burundi surveys. It includes mainly open questions regarding the current status and causes of food insecurity in the province, a categorization of Communes in the province by food security status, with main causes and affected groups, as well as questions about current and potential food aid or other programs in the province.
The market price questionnaire was designed using the WFP Burundi market monitoring questionnaire. The current prices of 20 staple foods was included, as well as the prices three months prior to the survey. A minimum of two main markets per province were surveyed.
The community questionnaire was patterned after one used for the Central African Republic Vulnerability and Food Security survey conducted in 2004 by WFP. A combination of open, semi-closed, and closed questions were used to gather information on demographics, economy and infrastructure, education, health, agriculture, shocks and coping strategies, and program participation and preferences.
The provincial questionnaire was designed using examples from previous WFP Burundi surveys. It includes mainly open questions regarding the current status and causes of food insecurity in the province, a categorization of Communes in the province by food security status, with main causes and affected groups, as well as questions about current and potential food aid or other programs in the province.
The market price questionnaire was designed using the WFP Burundi market monitoring questionnaire. The current prices of 20 staple foods was included, as well as the prices three months prior to the survey. A minimum of two main markets per province were surveyed.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Vulnerability Analysis and Mapping | World Food Programme | wfp.vaminfo@wfp.org | http://www.wfp.org/food-security |
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 acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
United Nations World Food Programme. Burundi Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2004. Ref. BDI_2004_CFSVA_v01_M. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
United Nations World Food Programme. Burundi Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2004. Ref. BDI_2004_CFSVA_v01_M. Dataset downloaded from [url] 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.
Copyright
© United Nations World Food Programme, Food Security Analysis (VAM)
Metadata production
DDI Document ID
DDI_BDI_2004_CFSVA_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Souleika Abdillahi | United Nations World Food Programme | Data Archivist | |
| Development Economics Data Group | DECDG | The World Bank | Revision |
Date of Metadata Production
2012-07-30
DDI Document version
Version 02 (January 2014). Version 1.0 (30 July 2012)