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Food-Security

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
Collections
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 11, 2020
Last modified
Nov 11, 2020
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999
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  • Study Description
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • 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.

    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

    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
    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 Role
    Citigroup Foundation Financial support
    UK Department for International Development 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).

    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 Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes 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.

    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.

    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    National Institute of Statistics [email protected] www.ins-cameroun.cm
    Vulnerability Analysis and Mapping World Food Program [email protected] http://www.wfp.org/food-security

    Metadata production

    DDI Document ID

    DDI_CMR_2007_GFSVA_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Adoption of metadata for FAM
    Souleika Abdillahi World Food Programme Data Archivist
    Development Economics Data Group World Bank Revision
    National Institute of Statistics MINEPAT Documentation

    Metadata version

    DDI Document version

    CMR_2007_GFSVA_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
    Food and Agriculture Organization of the United Nations

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