Food Consumption Scores and Food Consumption

GroupsCreation and Validation

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)

Validating the FCSCorrelations with FCS

Reduced CSI Correlation Coefficient -0.329

Sig (2-tailed) 0.00

Wealth Index Correlation Coefficient 0.546

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

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 – 42Acceptable >42.5

FCG by Governate

Rayma, Ad Daleh, Amran and Al Marha show the highest proportion of poor food consumption group

FCG by Agro-ecological zone

FCG by Urban / Rural

FCG by Main Livelihood Activity

FCG by Household Status

Literacy RateHigh Dependency

FCG Poor 39.1% 30.1%*

Borderline 50.3% 26.9%*

Acceptable 62.2% 18.0%

*The difference between Poor and Borderline in regards to high dependency was not found to be statistically significant

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