solutions that
support families,
farmers & local
economies.
At Your Fingertips
We launched two new websites for Double Up Food Bucks this winter, helping shoppers learn about the program nationally and in Michigan more easily than ever before.
Growing better access
to better food.
Fair Food Network’s Double Up Food Bucks program matches SNAP, or food stamps, dollars spent on fruits and vegetables. It’s a win/win/win in communities from coast to coast: More healthy food for families, better business for farmers, and a boost for local economies.
resources Double Up Food Bucks 2020 Annual Impact Report
resources Michigan Double Up 2020 Overview
news How the American Diet Turbocharges COVID-19 // Mother Jones
FROM THE FIELD BLOG At Your Fingertips
FROM THE FIELD BLOG What is Essential? A Profile of a Detroit Grocer
Growing the
good food economy.
As a national fund that works locally, we partner with communities to build solutions that catalyze not just entrepreneur success, but broader systems change. This includes weaving together community voice, entrepreneur vision, local strengths, and national assets so that food entrepreneurs can be the engine of a more equitable future.
Great ideas,
put to the test.
Our home state is a proving ground for innovation, creating opportunities to knit together our work in healthy food incentives, fair food financing, and public policy for greater impact.
news Why This Midtown Detroit Liquor Hotspot Is Adding Produce to the Menu // Hour Detroit
news While food supply chains snap, a solution is on the table // The Hill's Changing America
news Michigan Healthy Food Loan Fund Passes $10M in Investments // Associated Press
news Detroit community crowd-funds the only Black-owned grocery store in the city // CNN
News & Resources
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Who We Are
Where some see problems, we see opportunities
At Fair Food Network, we believe no system is as important to our future as our food system. We are committed to pushing boundaries and identifying catalytic opportunities that create on-the-ground impact and can serve as replicable models to move the field forward faster.
