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Feeding America Data Commons provides access to data from Map the Meal Gap, overlayed with data from a wide range of additional sources into a single portal under a common scheme.
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Explore the data

Whoever you are - journalist, citizen scientist, student or researcher - here are a few starter examples to explore food security in the United States and its relationship to climate data and health indicators.

Climate change and food insecurity in California

Max projected summer temperatures (RCP 4.5) vs. Food Insecurity for US counties (source: FA, NASA) While there are significant urban populations in California with food insecurity challenges today e.g. Los Angeles County, when food insecurity numbers are mapped with anticipated temperature rises, the people of Kern County, the heart of California’s agricultural ecosystem that serves the world, will likely experience the greatest strife in the years to come.

Cardiac Health and food insecurity across the United States

Heart condition vs. Food insecure for US counties (source: CDC, FA) Combining datasets from the CDC and Map the Meal gap, the correlation between heart health and food insecurity is clear. With Data Commons, it is possible for any food bank or pantry on the ground to explore these correlations and other health conditions in their city and county without a significant investment of technical resources, and months of research.

Food insecure individuals with low income and no health insurance

Population of low income without health insurance vs. Food insecure, for US counties (source: CDC, FA, NASA) Combining data from the US Census and Map the Meal gap, it is immediately apparent that large parts of middle America are struggling from these interrelated challenges. Instead of per capita numbers, one could also view the actual counts of food insecure residents without health insurance and making less than $25,000/year. Los Angeles County stands out immediately.