Federal Reserve Economic Data

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Real GDP by county: 2024

On February 5, 2026, the Bureau of Economic Analysis released their 2024 real GDP breakdown at the county level. Here are some highlights from the data set, some of which are shown in the FRED map above:

  • In 2024, real GDP growth was positive in three-quarters of all counties.
  • Nationally, real GDP increased by 2.8%. However, the median county experienced growth of 2.3%. About two-thirds of counties experienced growth ranging from -1.6% to 6.0%.
  • The county with the fastest growth was Carter County, Montana, at 76.6%.
  • The county with sharpest decline was Baca County, Colorado, at -46.3%.
  • There was a positive relationship between real GDP growth and the size of the county. Among the largest 10% of counties, growth averaged 3%; whereas, among the smallest 10% of counties, growth averaged -1.5%.
  • The county with the fastest growth here in the St. Louis, Missouri-Illinois metro area was Madison County, Illinois, with 8.3% growth. Jersey County, Illinois experienced the slowest growth in the metro area, at -1.2%.

As noted above, there are some large numbers for growth and contraction of real GDP at the county level. This is because many counties are very small. Therefore, GDP can fluctuate greatly from one year to the next: Economic shocks such as a business openings or closings in a small town can have a significant impact on the community and, thus, the economic data. There are many reasons why some counties grow while others contract. For example, the industrial composition can amplify the degree of expansion or contraction in relation to the national overall business cycle. Demographic makeup and migration patterns of a county can also be a factor. These reasons are explored in more detail in this St. Louis Fed essay.

How this map was created: Search FRED for and select “Real GDP County” and click on the first choice. Click on the “View Map” and then “Edit Map” buttons. Change units to “Percent Change from Year Ago.” Then switch the number of color groups to 3 and “data grouped by” to “User Defined Method”; then define the scales at 0, 3, and the highest value (which is 77). For values less than 0, choose red to show contraction; for values less than 3, choose light green to show slow to moderate expansion; for values less than 77, choose dark green to show rapid expansion.

Suggested by John Fuller and Charles Gascon.



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