Global Food Security and Vulnerability Analysis, 2007
Cameroon, 2007
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Reference ID
CMR_2007_GFSVA_v01_EN_M_v01_A_OCS
Producer(s)
World Food Program
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Metadata
Created on
Nov 11, 2020
Last modified
Nov 11, 2020
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Identification
Survey ID Number
CMR_2007_GFSVA_v01_EN_M_v01_A_OCS
Title
Global Food Security and Vulnerability Analysis, 2007
Country
| Name | Country code |
|---|---|
| Cameroon | CMR |
Study type
Other Household Survey [hh/oth]
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
As part of the Strengthening Emergency Needs Assessment Capacity project, the World Food Program (WFP) conducted a Comprehensive Food Security and Vulnerability Analysis (CFSVA). This CFVSA survey aims to:
- provide a better understanding of the vulnerability and food security of rural households, with a view to better targeting of the most vulnerable areas and populations;
- strengthen basic knowledge on food security in the country, as well as the monitoring and alert system by improving capacities for assessment, monitoring of food security and local planning of interventions if there is location ;
- determine more precisely the profiles of vulnerability to food insecurity in the various agroecological zones throughout the territory.
To do this, secondary and primary data were collected on key aspects related to food security such as demography, health, migration, physical accessibility of villages, income, agricultural expenditure, livestock, food consumption, shocks and strategies developed by food insecure households.
- provide a better understanding of the vulnerability and food security of rural households, with a view to better targeting of the most vulnerable areas and populations;
- strengthen basic knowledge on food security in the country, as well as the monitoring and alert system by improving capacities for assessment, monitoring of food security and local planning of interventions if there is location ;
- determine more precisely the profiles of vulnerability to food insecurity in the various agroecological zones throughout the territory.
To do this, secondary and primary data were collected on key aspects related to food security such as demography, health, migration, physical accessibility of villages, income, agricultural expenditure, livestock, food consumption, shocks and strategies developed by food insecure households.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The scope of the study covered following aspects:
(a) Household:
Demography
Health
Education
Migration
Housing and equipment
Agriculture
Livestock
Sources of income and lifestyle
Credit and expenditure
(b) Village:
Transport and communication
Agricultural market
Food assistance and aid
Shocks and food security
(a) Household:
Demography
Health
Education
Migration
Housing and equipment
Agriculture
Livestock
Sources of income and lifestyle
Credit and expenditure
(b) Village:
Transport and communication
Agricultural market
Food assistance and aid
Shocks and food security
Topics
| Topic | Vocabulary |
|---|---|
| Agriculture & Rural Development | FAO |
| Health | FAO |
| Livestock | FAO |
| Access to Finance | FAO |
| Migration & Remittances | FAO |
| Aid effectiveness | FAO |
| Disaster Risk Management | FAO |
| Community Driven Development | FAO |
| Logistics/Trade Facilitation | FAO |
Keywords
| Keyword |
|---|
| Demography |
| Health |
| Education |
| Migration |
Coverage
Geographic Coverage
Regional coverage
Universe
The survey covered heads of household, as well as women of childbearing age (15 to 49 years).
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| World Food Program | United Nations |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture and Rural Development | Government of Cameroon | Technical support |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Citigroup Foundation | ISIC | Financial support |
| UK Department for International Development | DFID | Financial support |
Sampling
Sampling Procedure
(a) Sampling method
The survey was conducted in the 10 provinces of Cameroon (Adamaoua, Center, East, South, Far-North, North, Littoral, South-West, North-West, West) but excludes urban areas such as Douala and Yaoundé to focus mainly on rural areas. The methodology used during this study is based on a two-stage probabilistic survey, with villages as primary unit and households as secondary unit. In each province, 25 clusters were selected. The selection of the villages to contain the clusters was carried out using the method of the Proportional Probability to Size. In each province, a maximum of 25 villages were selected, a village possibly containing one or more clusters and 8 households per village were surveyed. Replacement villages have also been planned (5 per province) in the event that access to certain villages is not possible. Within each village, the method known as systematic sampling 26 was used to select the households to be surveyed. The sample was produced in order to be representative at the administrative level (province).
The survey was conducted in the 10 provinces of Cameroon (Adamaoua, Center, East, South, Far-North, North, Littoral, South-West, North-West, West) but excludes urban areas such as Douala and Yaoundé to focus mainly on rural areas. The methodology used during this study is based on a two-stage probabilistic survey, with villages as primary unit and households as secondary unit. In each province, 25 clusters were selected. The selection of the villages to contain the clusters was carried out using the method of the Proportional Probability to Size. In each province, a maximum of 25 villages were selected, a village possibly containing one or more clusters and 8 households per village were surveyed. Replacement villages have also been planned (5 per province) in the event that access to certain villages is not possible. Within each village, the method known as systematic sampling 26 was used to select the households to be surveyed. The sample was produced in order to be representative at the administrative level (province).
Deviations from the Sample Design
Data collection took place under particularly difficult conditions due to the state of the roads and the remoteness of the villages. In some provinces, investigators had to reach villages by canoe, mototaxis or on foot. The isolation of certain villages pushed the investigators to work in substitution villages.
Response Rate
99 percent response rate
Weighting
In each province, a maximum of 25 villages were selected, a village possibly containing one or more clusters and 8 households per village were surveyed. Weights were then calculated and assigned to each province for the representativeness of the sample over the entire population.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2007-05-10 | 2007-06-05 |
Data Collection Mode
Face-to-face [f2f]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics | [email protected] | www.ins-cameroun.cm | |
| Vulnerability Analysis and Mapping | World Food Program | [email protected] | Link |
Confidentiality
Cameroon's survey and census data constitute an important component of the information heritage. To constitute it, significant public resources have been committed. The management of these resources is the responsibility of the National Institute of Statistics (INS) which coordinates the National Statistical Information System. They are intended for the use of public authorities, donors, the private sector and civil society for their own activities and / or their contribution to the development of the country.
In view of their cost, certain users will be asked to participate in making this data available to them. It is for this reason that the financial resources of the INS include, in addition to State subsidies, non-reimbursable donations and loans, a component of the sale of publications.
Access conditions
The request for access to the data of this survey must be made through the site http://nada.stat.cm or at the email address [email protected]
Any partial or total reproduction of this document requires authorization.
Any partial or total reproduction of this document requires authorization.
Citation requirements
The use of the data must be mentioned by the inclusion of a bibliographical reference containing at least:
- the identification of the principal investigator (agency or person having assumed the responsibility for the production of the data)
- the exact title of the 'survey (including country, survey year and survey title abbreviation when available)
- survey reference number as listed in our catalog
- source and date downloading data files for data obtained online
Example:
United Nations World Food Program. Cameroon Global Food Security and Vulnerability Analysis (CFSVA) 2007. Ref. CMR_2007_CFSVA_v01_M.
- the identification of the principal investigator (agency or person having assumed the responsibility for the production of the data)
- the exact title of the 'survey (including country, survey year and survey title abbreviation when available)
- survey reference number as listed in our catalog
- source and date downloading data files for data obtained online
Example:
United Nations World Food Program. Cameroon Global Food Security and Vulnerability Analysis (CFSVA) 2007. Ref. CMR_2007_CFSVA_v01_M.
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the producer of the data, the authorized distributor, as well as the donors who have contributed to the financing of the production of this data, are in no way responsible for the use which will be made of this data, nor for the interpretations and conclusions derived from their analysis and use.
Metadata production
DDI Document ID
DDI_CMR_2007_GFSVA_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 |
| Souleika Abdillahi | World Food Programme | Data Archivist | |
| Development Economics Data Group | DECDG | World Bank | Revision |
| National Institute of Statistics | INS | MINEPAT | Documentation |
DDI Document version
CMR_2007_GFSVA_v01_EN_M_v01_A_OCS_v01