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Comprehensive Food Security and Vulnerability Analysis 2009

Mozambique, 2009
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Reference ID
MOZ_2009_CFSVA_v01_M
Producer(s)
Vulnerability Assessment Group (VAG), United Nations World Food Programme
Metadata
DDI/XML JSON
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
Page views
6673
Downloads
495
  • Study Description
  • Data Dictionary
  • Downloads
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
MOZ_2009_CFSVA_v01_M
Title
Comprehensive Food Security and Vulnerability Analysis 2009
Country
Name Country code
Mozambique MOZ
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 a 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 indicators being collected and reported determine the shelf life of CFSVAs. In most situations, CFSVA findings are valid for three to five years, unless there are drastic food security changes in the meantime.
Abstract
WFP Mozambique is currently designing its Country Strategy Document (CSD) which outlines WFP’s contribution to the Government efforts to reduce hunger, food insecurity and malnutrition. This CFSVA report aims at providing more specific information on food security and vulnerability to facilitate the CSD preparation. The report builds on the Relatorio da Monitoria da Situacao de Segurança Alimentar e Nutricional em Mocambique (2009), and include specific data on:
1. The number of food insecure and vulnerable people in the country (how many are they?)
2. The geographical distribution of the food insecure and vulnerable people (where are they?)
3. The characteristics of the food insecure and vulnerable groups (who are they?)
4. Driving forces of food insecurity and vulnerability (why are they food insecure?)
5. Their capacity to absorb shocks (resiliency)
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household

Version

Version Date
2012-05-22

Scope

Notes
- HOUSEHOLD: Demographics; housing and facilities; agricultural production and management; maize storage, household market behaviours, livelihood activities, productive/non-productive assets; expenditures; food sources and consumption; and shocks and coping strategies; education; health; nutrition and access to improved water; population, natural disaster and land access, vulnerable groups/assistance, poverty and food insecurity, agriculture, market and prices, health and nutrition, infrastructures (water, electric network).

Coverage

Geographic Coverage
National coverage (execpt for the provincial capitals and all large towns).
Universe
The survey covered all household heads and women (15-49 years of age) in each sampled household.

Household is defined as a "group of individuals sharing same budget for basic expenses, including food, housing, health and sanitation".

Producers and sponsors

Primary investigators
Name Affiliation
Vulnerability Assessment Group (VAG) National Secretariat for Food Security and Nutrition
United Nations World Food Programme United Nations
Funding Agency/Sponsor
Name Abbreviation Role
Bill and Melinda Gates Foundation Gates Foundation Financial Support

Sampling

Sampling Procedure
The sampling was drawn to provide estimates on a set of food and nutritional security indicators at national, peri-urban/rural and provincial levels, with the exemption of the provincial capitals and all large towns which were excluded from the survey. The survey was based on a stratified and multi-stage sample. It was done in two stages: i) in each province (except in Nampula and Zambézia), 40 census enumeration areas were selected with probability proportional to population size (PPS). In Nampula and Zambézia, 60 census enumeration areas were selected, owing to the greater contribution of their populations to the country’s total; ii) subsequently a list of households (AFs) was made in each selected enumeration areas, and a systematic sampling of 12 AFs in peri-urban areas and of 9 AFs in rural areas was made. The list of the enumeration areas and of cartographic material was provided by the General Population and Habitation Census III (III RGPH).
Response Rate
91%
Weighting
Given that the major source of sample error is linked to the enumeration areas covered, it was necessary to adjust the final weights, especially for the provinces of the southern region. There was a final weight adjustment of 9.8% for Inhambane, 6.2% for Gaza and 3.5% for Maputo Province. In the other provinces adjustments remained below 1.7%. In each province, the sample was stratified at urban / rural level and is self-weighed. For the computation of national level estimates, adjustment weights were used.

Data Collection

Dates of Data Collection
Start End
2009-08 2009-09
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Data collection began at the end of August / beginning of September, and took approximately 20 days to be completed. For some teams the field work took longer due to access constraints. Data was collected with PDAs and imported in SPSS (Statistical Package for Social Science) for data analysis.

Questionnaires

Questionnaires
The household questionnaire was composed mainly of questions with response options provided by enumerators.The instrument focused on: (1) demographics; (2) housing and facilities; (3) agricultural production and management; (4) maize storage, (5) household market behaviours, (6) livelihood activities, (7) productive/non-productive assets; (8) expenditures; (9) food sources and consumption; and (10) shocks and coping strategies. The demographic section included an individual roster to better explore the food security and vulnerability of chronically ill individuals and orphans.

The Community questionnaire focused on population, natural disaster and land access, vulnerable groups/assistance, poverty and food insecurity, agriculture, market and prices, health and nutrition, infrastructures (water, electric network, etc.), education and priorities for the community.

Focus group discussions collected information on household perception on socio-economic change; availability and utilization of community funds; education; health; nutrition and access to improved water.

All the questionnaires were developed in Portuguese.

Access policy

Contacts
Name Affiliation Email 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:

Vulnerability Assessment Group (VAG). Mozambique Comprehensive Food Security and Vulnerability Analysis 2009. Ref. MOZ_2009_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_MOZ_2009_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
2012-05-22
DDI Document version
Version 02 (February 2014). Edited version, the initial version (Version 01 - May 2012, DDI-MOZ-WFP-CFSVA-2009-v1.0) DDI was done by Souleika Abdillahi (WFP).

Following DDI elements are edited, DDI ID, Study ID, and Abbreviation. External resources (questionnaire and report) are attached to the DDI.
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