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Session 3.2. Situation Analysis Step 3 Profiling Households at Risk

Session 3.2. Situation Analysis Step 3 Profiling Households at Risk. Learning Objectives. After this session, participants should be able to: Identify the aims of and reasons for profiling the food insecure and those at risk

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Session 3.2. Situation Analysis Step 3 Profiling Households at Risk

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  1. Session 3.2.Situation Analysis Step 3Profiling Households at Risk

  2. Learning Objectives After this session, participants should be able to: • Identify the aims of and reasons for profiling the food insecure and those at risk • Explain the methodology of profiling an affected population – through crossing with key population characteristics, and of the Conceptual framework

  3. Where are we?

  4. Why?Why do we profile food (in)secure HHs? • Describe livelihood assets, strategies and outcomes of food (in)secure HHs • Understand factors associated with food insecurity and with risks to lives and livelihoods • Define easily recognisable characteristics that can be used to target those at-risk

  5. How? How is profiling done? Cross (-tabulating) food (in)secure HHs against: • location • sex & age of head of HH • HH size • dependency ratio • education level • status (e.g. resident, IDP etc.) • main livelihood activity (livelihood groups) • main coping strategies • assets owned • other key characteristics relevant to context

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  7. Why are people food insecure and why are their lives or livelihoods at risk? Analysis of factors associated with food insecurity and with risks to lives or livelihoods: • use contextual analysis (secondary data + primary data) and HH profiling • use Conceptual Framework - adapted to local context to understand linkages

  8. Exercise 3.2.a. Drought in Southern Province With your partners: • Analyse the table and determine which factors appear to be associated with risk. • Be prepared to provide your reasoning.

  9. Exercise 3.2.bIdentifying characteristics of food-insecure HHs & individuals whose lives & livelihoods are at risk • What other information should be analyzed to profile HHs in this country? • Which information would help in targeting?

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