1. Food Consumption Scores and Food Consumption Groups Creation and Validation

2. Data Analysis plan Create the Food Consumption Score Group foods by category (cereals, pulses, vegetables, fruit, meat & fish, milk, sugar, oil Create the score based on frequency of consumption by group times weight of each group and summing each group Validate the FCS as a Food Security Indicator Correlation with various other indicators Create Food Consumption Groups to answer: Who are the food insecure? How many are they? Where are they? Why are they insecure? Create basic statistics on how many in each group Explore further who they are by various strata (agro-ecological zone, governate, urban vs. rural, etc)

3. Validating the FCS Correlations with FCS Reduced CSICorrelation Coefficient-0.329 Sig (2-tailed)0.00 Wealth IndexCorrelation Coefficient0.546 Sig (2-tailed)0.00 Percent of total expenditure on food Correlation Coefficient-0.124 Sig (2-tailed)0.00 How many times In the past 7 days did not have enough food or money to buy food Correlation Coefficient-0.321 Sig (2-tailed)0.00

4. FCG Thresholds An FCS of 21 in Yemen is composed of oil, sugar and cereals (staple) Because the value of sugar and oil consumption was daily (7 times a week), we have used a higher threshold for grouping. In order to properly evaluate this high sugar and oil diet as poor, we have changed our thresholds as follows: Poor < 28 Borderline 28.5 – 42 Acceptable >42.5

6. FCG by Governate Rayma, Ad Daleh, Amran and Al Marha show the highest proportion of poor food consumption group

7. FCG by Agro-ecological zone

8. FCG by Urban / Rural

9. FCG by Main Livelihood Activity

10. FCG by Household Status Literacy Rate High Dependency FCGPoor39.1%30.1%* Borderline50.3%26.9%* Acceptable62.2%18.0% *The difference between Poor and Borderline in regards to high dependency was not found to be statistically significant

11. Conclusions FCS is strongly correlated with other key food security indicators The dietary patterns of the poorest households (in terms of food consumption) are highly reliant on sugars and oil Generally, rural households are worse off as are households in the North Highlands More analysis is needed to further profile the most food insecure