New Methods Can Help Predict Food Security Risk for Smaller Population Groups and at Substate Levels

Both data sets are drawn from the same population and contain information on household income, age, race, household composition, and other characteristics that are known to predict food security. [...]they showed how this approach can provide estimates of geographic variation within States, by aggregating households that live in the same substate area. The map above shows predicted risk for food insecurity in Wisconsin according to Public Use Microdata Area. Because PUMAs are based on population, they variously represent subcounty, singlecounty, or multicounty areas.