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Food Consumption Scores and Food Consumption Groups

Food Consumption Scores and Food Consumption Groups. Creation and Validation. Data Analysis plan. Create the Food Consumption Score Group foods by category (cereals, pulses, vegetables, fruit, meat & fish, milk, sugar, oil

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Food Consumption Scores and Food Consumption Groups

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  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

  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

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

  6. FCG by Agro-ecological zone

  7. FCG by Urban / Rural

  8. FCG by Main Livelihood Activity

  9. FCG by Household Status *The difference between Poor and Borderline in regards to high dependency was not found to be statistically significant

  10. 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

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