Session 3.2. Situation Analysis Step 3 Profiling Households at Risk

Advanced EFSA Learning Programme

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 Explain the methodology of profiling an affected

population – through crossing with key population characteristics, and of the Conceptual framework

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Where are we?

3

EFSA Process

Adapt conceptual framework & objectives

Prepare analysis plan: indicators, data, sources

Collect, review secondary data

Collect primary data

Conduct situation analysis

Conduct forecast analysis

Analyse response options

Make response recommendations

Prepare report


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


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

How?How is profiling done?

Advanced EFSA Learning Programme6

Charac-teristic Type of

risk

L=lives

LH=live-lihoods

Loca-tion

Sex HH

Head

Age HH

Head

Age Comp.

Status

Main prod. Activ-

ity

Health access

Mar-ket ac-

cess

Coping strate-gies

HH

1 L URB F 28 F, 3C IDPPetty trade

OK OKSell asset, debt, gifts,

food Q&Q▼

2 LH RUR F 20 F, 2E Res. Farmer Poor Poor Sell asset

3 No URB M 30 M, F, 1C Res. Gov. OK OK -

4 LH RUR F 30 2F, 3C Res. Farmer Poor PoorDebt, food

Q&Q▼

5 LH RUR F 25 F, 1E Res.Animal product

Poor PoorDebt, food

Q&Q▼

6 No URB M 46M, F, 2E,

3CRes.

Business

OK OK -

7 No URB M 25 M, F, 1C Res. Salary OK OK -

8 L URB F 24 F, 1E, 2C IDPCasual labour

OK OK

Sell asset, debt, gifts,

food Q&Q▼, skip days, begging

9 No URB M 60 M Res. Retired OK OK -

10 LH RUR F 32 F, 1E, 2C Res. Farmer Poor PoorSell asset,

food Q&Q▼


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

Why are people food insecure and why are their lives or livelihoods at risk?


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.

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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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Session 3.2. Situation Analysis Step 3 Profiling Households at Risk

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