Comprehensive Food Security and Vulnerability Analysis 2005
Timor-Leste, 2005
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Reference ID
TLS_2005_CFSVA_v01_M
Producer(s)
World Food Programme
Created on
Feb 19, 2014
Last modified
Mar 29, 2019
Page views
15054
Downloads
812
Identification
Survey ID Number
TLS_2005_CFSVA_v01_M
Title
Comprehensive Food Security and Vulnerability Analysis 2005
Country
| Name | Country code |
|---|---|
| Timor-Leste | TLS |
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
Most of Timor Leste suffers from food shortages for about four months each year: October-November and February-March. Availability, access and utilization all combine to severely limit the country’s food security. The overall objective of the comprehensive food security and vulnerability analysis is to strengthen the knowledge base on issues related to food security and vulnerability in Timor Leste. In order to achieve this goal, the following questions needed to be answered:
• Who are the food insecure?
• How many are they?
• Where do they live?
• Why are they food insecure?
• Does food aid have a role to play?
In answering these questions, it is hoped that this report can provide WFP and its partners in government, civil society and the UN system guidance and criteria upon which aid resources, both food and non-food, can be targeted.
• Who are the food insecure?
• How many are they?
• Where do they live?
• Why are they food insecure?
• Does food aid have a role to play?
In answering these questions, it is hoped that this report can provide WFP and its partners in government, civil society and the UN system guidance and criteria upon which aid resources, both food and non-food, can be targeted.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Household
- Community/ Village
- Community/ Village
Version
Version Date
2012-05-22
Scope
Notes
The household questionnaire included modules on household demography, education, health, housing, income activities, household expenditures, household asset ownership, risk exposure and response, agricultural activities, livestock ownership, and food consumption (7-day food frequency). Furthermore, it collected information on maternal and child health and nutrition. For child anthropometry, height and weight/length were measured.
The key-informant interviews provided an overview of the community access to schools, markets and health facilities.
The key-informant interviews provided an overview of the community access to schools, markets and health facilities.
Coverage
Geographic Coverage
National coverage
Universe
The survey covered all household heads and women (with anthropometric measurements taken on both women 14-49 years of age and children 6 and 59 months old) 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 |
|---|---|
| World Food Programme | United Nations |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Humanitarian Aid Department of the European Commission | ECHO | Financial Assistance |
Sampling
Sampling Procedure
The sample was drawn to be statistically representative at both district cluster level (VAM Zone, describe below) and Regional level (Regions 1 to 5). Data from the 2004 National Census allowed the use of 10 indicators plus land cover and elevation (Figure 1-a) to find homogeneous zones through Principal Component Analysis (PCA) and non-hierarchical clustering using ADDATI software.
Homogeneous zones share a higher degree of similarity with respect to the selected indicators. The results where classified into 5 Vulnerability Assessment Mapping (VAM) Zones as detailed below.
Sucos are commonly identified as villages but often are sparsely dispersed in a cluster of hamlets (Aldeias) often spaced at several kilometers from each other. Households were randomized systematically from the updated census list of occupied households at the Suco administrative level. All Sucos had a sample of 10 households each, except 2 Sucos with a sample of 20 and one with 30. The CFSVA was the first survey to benefit from the updated census list and household recognition which was made possible by the use of geographic waypoints and GPSs.
Homogeneous zones share a higher degree of similarity with respect to the selected indicators. The results where classified into 5 Vulnerability Assessment Mapping (VAM) Zones as detailed below.
Sucos are commonly identified as villages but often are sparsely dispersed in a cluster of hamlets (Aldeias) often spaced at several kilometers from each other. Households were randomized systematically from the updated census list of occupied households at the Suco administrative level. All Sucos had a sample of 10 households each, except 2 Sucos with a sample of 20 and one with 30. The CFSVA was the first survey to benefit from the updated census list and household recognition which was made possible by the use of geographic waypoints and GPSs.
Deviations from the Sample Design
Two Sucos were not safely accessible because of landslides and were replaced by pre- selected alternative Sucos in the same Region. Six households were found to be in areas not safely accessible during the rainy season, 5 houses were found to be not occupied and 13 households refused to participate in the survey. In all occasions the team chose an accessible household as close as possible to the original selection.
Weighting
Household weights are calculated by population per region.
Malnutrition results at the national level have been weighted to adjust for sampling, and should be a good representation of the nutritional status in the country.
Malnutrition results at the national level have been weighted to adjust for sampling, and should be a good representation of the nutritional status in the country.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2005-11-14 | 2005-12-16 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Two 5-day training sessions, including training on anthropometric measurements, were held with 27 enumerators.
Questionnaires
Questionnaires
The household questionnaire included modules on household demography, education, health, housing, income activities, household expenditures, household asset ownership, risk exposure and response, agricultural activities, livestock ownership, and food consumption (7-day food frequency). Furthermore, it collected information on maternal and child health and nutrition. For child anthropometry, height and weight/length were measured of all children from 6-59 months of age found within sampled households.
The key-informant questionnaire was used to collect information from key informants, such as local community leaders, teachers, nurses, religious leaders, etc. Usually three knowledgeable community members were gathered for one interview, preferably at least one of them female. The key-informant interviews provided an overview of the community access to schools, markets and health facilities.
All instruments were prepared in English, but then were translated into Tetun for data collection purposes.
The key-informant questionnaire was used to collect information from key informants, such as local community leaders, teachers, nurses, religious leaders, etc. Usually three knowledgeable community members were gathered for one interview, preferably at least one of them female. The key-informant interviews provided an overview of the community access to schools, markets and health facilities.
All instruments were prepared in English, but then were translated into Tetun for data collection purposes.
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:
World Food Programme. Timor Leste Comprehensive Food Security and Vulnerability Analysis 2005. Ref.TLS_2005_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:
World Food Programme. Timor Leste Comprehensive Food Security and Vulnerability Analysis 2005. Ref.TLS_2005_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_TLS_2005_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 metadata |
Date of Metadata Production
2012-05-22
DDI Document version
Version 02 (February 2014). Edited version, the initial version (Version 01 - May 2012, DDI-TLS-WFP-CFSVA-2005-v1.0) DDI was done by Souleika Abdillahi (WFP).
Following DDI elements are edited, DDI ID, Study ID, and Abbreviation. External resources (questionnaires and report) are attached to the DDI.
Following DDI elements are edited, DDI ID, Study ID, and Abbreviation. External resources (questionnaires and report) are attached to the DDI.