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, analyses 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.
Efforts to improve Madagascar’s food security and nutrition over the last two years have been thwarted by political instability which has disrupted data collection. With up-to-date critical information needed to contribute to evidence based decision making, UNICEF and WFP agreed to carry out a joint Comprehensive Food and Nutrition Security and Vulnerability Analysis (CFSVA+N) in 2010. The survey’s primary objectives are to:
• Provide an accurate and detailed assessment of the current food and nutrition security situation
• Assess the causes and risk factors for food and nutrition insecurity
• Identify potential ways to mitigate food and nutrition insecurity
• Reveal pockets of vulnerability where special assistance may be required.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household: Demographics, housing and facilities, assets, expenditure, migration, land and agricultural production, livestock ownership, food sources and consumption, food assistance, shocks and food security, coping mechanisms, HIV Aids, maternal and children health and nutrition.
Rural areas of Madagascar
The survey covered household heads and women of reproductive age (15-49 years) in each sampled household. Household is defined as one (or more) people living under the same roof or different roofs, but sharing the main meals and respecting the authority of the same person (the head of the household).
Producers and sponsors
United Nations Children's Fund
United Nations World Food Programme
Bill and Melinda Gates Foundation
International Fund for Agricultural Development
United Nations Development Programme
In order to have a representative sample by region and livelihood zone, a two-stage cluster sampling was applied.
First stage, the number of clusters per region was calculated based on the required sample size to determine malnutrition and food security by region (details on sample size calculation are reported below). A minimum of 25 clusters per region was set. Since the Fokontany is the smallest administrative unit with population data available, this was established as the administrative unit from which clusters were selected. A list of all Fokontany and their estimated population was obtained from INSTAT.Urban communities as defined by the latest DHS-IV were not included in the sampling frame. Using this list and the livelihood zones, 176 segments were defined corresponding to both the regions and the livelihood zones. The number of clusters in each of the 176 segments was determined based on the population per segment weighted from the total regional population. For each segment, the Fokontany and their population were introduced into ENA and the required number of cluster per segment was selected using "probability proportional to population size" (PPS) sampling technique. This process was repeated for each of the 176 segments. In total, 606 clusters were selected across the 22 regions and distributed in the 8 Livelihood zones.
Second stage: the secondary sample unit was the household as defined by INSTAT. Within the selected clusters, households were selected from an exhaustive of households using systematic random sampling.
For the anthropometric data, the households' number (as defined by the sample size calculation) was selected using a calculated interval sampling (i.e. from a Fokontany with 200 households, 20 households were selected using a sample interval of 10). The households for the food security survey were sampled from the larger list of households already selected for the anthropometric survey. This was done using an independently calculated interval sampling (i.e. from the 20 households selected for anthropometric data, 5 households were selected for food security and health data using a sample interval of 4).
Deviations from the Sample Design
Thirty-three clusters out of the 606 selected were not visited due to bad weather or insecurity.
Household weights are calculated by population per region.
Dates of Data Collection
Data Collection Mode
Household questionnaires, community questionnaires and nutrition questionnaires (which included anthropometric measurements) were used to collect the data.
Vulnerability Analysis and Mapping
World Food Programme
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 and United Nations Children's Fund. Madagascar Comprehensive Food Security, Nutrition and Vulnerability Survey 2010. Ref. MDG_2010_CFSVA_v01_M. Dataset downloaded from http://nada.vam.wfp.org/index.php/catalog 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.
DDI Document ID
World Bank, Development Data Group
The World Bank
Reviewed the DDI
Date of Metadata Production
DDI Document version
Version 02 (February 2014). Edited version, the initial version (Version 01 - June 2012, DDI-MDG-WFP-CFSVA-2010-v1.0) DDI was done by Souleika Abdillahi (WFP).
Following DDI elements are edited, DDI ID, Study ID, Abbreviation, and Title. External resources (questionnaires and report) are attached to the DDI.