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Post Harvest Seasonal Food Security Assessment (SFSA)

Subject/Objective: 

1. Understand the status of Food Security by Province and Household Type
2. Understand the causes of Food Insecurity (Shocks vs Poverty)
3. Understand livelihood opportunities for the most vulnerable households, including returnees, IDPs, and host communities.

Methodology: 

Methodology
Differently from the previous assessments, the Seasonal Food Security Assessment 2017 took place in the post-harvest period. This is a deliberate choice aiming at identifying the level of food insecurity at its weakest level, presumably just after harvest. The resulting food insecure population can therefore be considered as mostly chronically food insecure, irrespective of food availability of food. Consequently, the report will have a strong emphasis on the factors that prevent access to food security, in order to make recommendations focused on increasing access to food, through livelihoods opportunities.
The sample was improved to increase accuracy and representativeness with respect to other years – with some major changes were made with respect to the previous sample.

Sample Design
- First, the sample was designed to be more accurate than previous SFSA rounds, reaching 11% accuracy level instead of 15% in the SFSA 2016, if all clusters are reached, and accounting for a 10% non-response rate. This increases accuracy and the likelihood of identifying significant differences between groups, thus improving targeting recommendations. 40 clusters of 6 households each were drawn in each province with probability equal to Estimated Population Size (PPES). This sampling strategy was also designed to limit the bias resulting from replacing out-of-reach clusters (due to physical insecurity) setting a limited amount of replacements and allowing for the potential reduction of the sample size up to 50% of the inaccessible clusters (although only 10% were inaccessible in 2016), while still reaching a precision level similar to the 2016 assessment (15%). Excluding highly insecure areas still results in a bias, but this bias can be acknowledged and alternative survey strategy can be used to understand food security in these areas (for example mVAM).

- The sample was stratified by province, with a total sample size of 240 households in 40 clusters in each province. The data should therefore be analysed applying provincial weights.

Key findings: 

Initial findings indicate that overall 7.3% people are severally, 29.6%moderately and 56.7 % are marginally food insecure in Afghanistan.
• Agriculture based livelihoods is major source of income and food as 66.4%are directly involved in agriculture cultivation, 69% with livestock and 33%with poultry.
• Main income source: 41% HHs reported that agriculture are their mainincome source, cash for work (10%), education services (10%).
• FCS and rCSI: Poor food consumption (6%), borderline (24%) whereas onrCSI (17%), high coping and (24.5%) medium coping.
• Household experiencing shocks in past 12 months: 46% experiencingshocks in the last 12 months loss of employment (38%), reduced income(18%), sever sickness of family members (17%) livestock diseases (14%),increase in food price (13%).

Sample size: 
240 households in 40 clusters in each province
Assessment Report: 
Publicly Available
Assessment Questionnaire: 
Publicly Available
Assessment Data: 
Publicly Available
Operations(s)/Webspace(s): 
Assessment Date(s): 
De 01 Jun 2017 hasta 30 Sep 2017

Level of Representation

Village
Status: 
Draft / Preliminary Results
Unit(s) of Measurement: 
Households
Collection Method(s): 
Mixed
Population Type(s): 
Todas las poblaciones afectadas
Leading/Coordinating Organization(s): 
Organización de las Naciones Unidas para la Alimentación y la Agricultura
Participating Organization(s): 
Programa Mundial de Alimentos
Location(s): 
Afghanistan