CVA SECONDARY DATA ANALYSIS

Given the large demand for scarce development resources, it is important that WFP focus on the most vulnerable areas and groups in a country. Secondary data analysis is a cost-efficient way to geographically target the right people in the right place.

A Secondary Data Analysis (SDA) helps to verify and refine WFP's understanding of the problems identified in the Situation Analysis. The SDA uses a variety of available data and indicators - including population and household censuses, statistical databases, poverty & nutrition surveys, spatial data sets - to map the spatial patterns of food insecurity and identify its underlying causes.

For any given country, the SDA's main objectives are threefold:

• Provide an overview of the locations, characteristics, and levels of food insecurity that exist in different parts of any given country.
  
  
• Identify the most food insecure and vulnerable socio-economic population groups in those areas, to help WFP's geographic and preliminary beneficiary targeting.
  
  
• Confirm that food aid has a role in addressing these problems, and suggest potential sectors for a WFP response.