Comprehensive Food Security, Nutrition and Vulnerability Survey 2010
Madagascar, 2010
Get Microdata
Reference ID
MDG_2010_CFSVA_v01_M
Producer(s)
United Nations Children's Fund, United Nations World Food Programme
Created on
Feb 19, 2014
Last modified
Mar 29, 2019
Page views
29404
Downloads
633
Identification
Survey ID Number
MDG_2010_CFSVA_v01_M
Title
Comprehensive Food Security, Nutrition and Vulnerability Survey 2010
Country
| Name | Country code |
|---|---|
| Madagascar | MDG |
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, 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.
Abstract
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.
• 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
- Community
- Community
Version
Version Date
2012-06-26
Scope
Notes
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.
Coverage
Geographic Coverage
Rural areas of Madagascar
Universe
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
Primary investigators
| Name | Affiliation |
|---|---|
| United Nations Children's Fund | United Nations |
| United Nations World Food Programme | United Nations |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bill and Melinda Gates Foundation | Gates Foundation | Financial support |
| International Fund for Agricultural Development | IFAD | Financial support |
| United Nations Development Programme | UNDP | Financial support |
Sampling
Sampling Procedure
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).
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.
Weighting
Household weights are calculated by population per region.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2010-08-23 | 2010-10-08 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
Household questionnaires, community questionnaires and nutrition questionnaires (which included anthropometric measurements) were used to collect the data.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Vulnerability Analysis and Mapping | World Food Programme | wfp.vaminfo@wfp.org | Link |
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
Exemple:
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].
- 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
Exemple:
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
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_MDG_2010_CFSVA_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Souleika Abdillahi | SA | WFP | Data Archivist |
| World Bank, Development Data Group | DECDG | The World Bank | Reviewed the DDI |
Date of Metadata Production
2012-06-26
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.
Following DDI elements are edited, DDI ID, Study ID, Abbreviation, and Title. External resources (questionnaires and report) are attached to the DDI.