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. This is the second CFSVA produced for Burundi.
The overall objective of the Comprehensive Food Security and Vulnerability Analyses (CFSVA) is to analyze the food security and vulnerability conditions of population groups and communities, and to provide baseline information to WFP decision makers and other actors focusing on food insecurity.
- Who are the people at risk of food insecurity?
- How many are they?
- Where do they live?
- Why are they food insecure?
- How can food assistance and other interventions make a difference in reducing poverty, hunger and supporting livelihoods?
The specific objectives of the Burundi CFSVA were to:
- Identify geographic and socio-economic groups that are food insecure or vulnerable to food insecurity;
- Identify the nature and causes of food insecurity among each group;
- Identify the major risks and constraints to improving food security;
- Evaluate assistance needs at the short, medium and long range;
- Support the development of an appropriate targeting system;
- Better define the role of WFP and its partners in promoting food security strengthening programs.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household: demographics, assets, land and agricultural production, household expenditures, food consumption.
- Community: community demographics, education infrastructure and access, health and market infrastructure and access.
Residents of rural households in Burundi.
Producers and sponsors
World Food Programme
Institut de Statistiques et d'Etudes Economiques du Burundi
Technical assistance in data collection, data entry and data cleaning
A stratified two-stage cluster sampling strategy was used, with a minimum target sample size of 300 households by province. The primary sampling unit (cluster) was the sous-colline. There are 9,915 sous-collines in Burundi, the lowest administrative unit. A minimum of 25 sous-collines were sampled in each province, with at least one sous-colline per commune. In larger provinces the number of clusters was increased to ensure a good spatial distribution. Sous-collines were selected using a systematic random procedure adjusting for population size within the cluster. A total of 433 sous-collines were sampled. Within each sous-colline, a sample of 12 households was randomly selected from list of all the households in the sous-colline. The final expected sample size was 5,196 households.
Deviations from the Sample Design
A total of 5,011 interviews were conducted in 11 provinces, 114 communes, 422 collines and 422 sous-collines. Data collection had to be put on hold in 11 sous-collines of Bujumbura rural due to insecurity at the time of the survey. Only 19 sous-collines were surveyed in that province instead of the planned 30.
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.
Dates of Data Collection
Data Collection Mode
Data collection for the surveys was conducted by the Institut de Statistiques et d'Etudes Economiques du Burundi (ISTEEBU) under the supervision of the World Food Programme (WFP).
Data Collection Notes
A total of 10 teams, each composed of four enumerators and one team leader, conducted the field work. The teams participated in a four day training course prior to data collection, including field testing. An additional two-days training course was organized after the first week to correct any systematic errors in completing the questionnaires.
The community questionnaire was not able to be fully implemented. Therefore, the community dataset has not been included.
Institute des Statistiques et des Etudes Economiques du Burundi
National Institute of Statistics
The questionnaires were developed in French and administered in French and/or Kirundi. Careful training was conducted to reduce individual variations on how enumerators interpreted the questionnaire and understood the questions.
Household Questionnaire: The household questionnaire is composed of 11 sections: (1) demographics, (2) circumstances of the household, (3) housing structure and amenities, (4) assets, (5) land and agricultural production, (6) livelihood activities, (7) household expenditures, (8) food consumption, (9) exposure to shocks, (10) coping mechanisms, and (11) maternal health and nutrition. The last section included anthropometric data and was only administered to women of reproductive age (15-49) and children less than five years, in the sampled households.
Community Questionnaire: The community questionnaire covered questions on (1) community demographics, (2) roads and transportation, (3) education infrastructure and access, (4) health infrastructure and access, (5) market infrastructures and access, (6) agricultural calendar, (7) impact of the conflicts, and (8) exposure to shocks.
All the analysis and final cleaning of the survey data were performed using SPSS.
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
United Nations World Food Programme. Burundi Comprehensive Food Security and Vulnerability Analysis (CFSVA) 2008. Ref. BDI_2008_CFSVA_v01_M. Dataset downloaded from [url] on [date].
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.