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Updating the ERS Farm Typology

Author

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  • Hoppe, Robert A.
  • MacDonald, James M.
Abstract
The USDA’s Economic Research Service (ERS) farm typology was originally developed to classify farms into relatively homogeneous groups based on their gross farm sales, the primary occupation of their operators, and whether the farms are family farms. Nearly 15 years have passed since ERS first released its farm typology; in this report, we update it to reflect commodity price inflation and the shift of production to larger farms. We also make a technical change, switching the measure of farm size from gross farm sales to gross cash farm income (GCFI), the total revenue received by a farm business in a given year. After the price adjustment, small farms are defined as those with GCFI less than $350,000, up from the original $250,000 cutoff. To adjust for the upward shift in production, two groups are added to the typology for farms with GCFI of $1 million or more, and a midsize group is added for farms with GCFI between $350,000 and $999,999.

Suggested Citation

  • Hoppe, Robert A. & MacDonald, James M., 2013. "Updating the ERS Farm Typology," Economic Information Bulletin 147120, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uersib:147120
    DOI: 10.22004/ag.econ.147120
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    References listed on IDEAS

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    Cited by:

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    8. Ukolova, Anna & Dashieva, Bayarma, 2016. "Statistical research of labor resources of agriculture in the USA (according to the 2012 Census of agriculture)," MPRA Paper 71663, University Library of Munich, Germany, revised 31 May 2016.
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    15. Prager, Daniel & Tulman, Sarah & Durst, Ron, 2017. "How do tax loss benefits and asset appreciation affect the returns to farming for U.S. farm households?," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266304, Agricultural and Applied Economics Association.
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    19. Jason H. Grant & Kathryn A. Boys & Chaoping Xie, 2021. "A new president in the White House: implications for Canadian agricultural trade," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 45-58, March.
    20. Sant'Anna, Ana Claudia & Katchova, Ani L., 2022. "How Economic Conditions Changed the Number of U.S. Farms, 1960-88: A Replication and Extension of Gale (1990) to Midsize Farms in the U.S. and Abroad," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321202, Agricultural Economics Society - AES.
    21. Wang, Sun Ling & Newton, Doris J., 2015. "Productivity and Efficiency of U.S. Field Crop Farms: A Look at Farm Size and Operator’s Gender," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205344, Agricultural and Applied Economics Association.
    22. Wade, Tara & Claassen, Roger, 2015. "Modeling No-Tillage Adoption by Corn and Soybean Producers: Insights into Sustained Adoption," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204957, Agricultural and Applied Economics Association.
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    25. Matthew C. LaFevor, 2022. "Characterizing Agricultural Diversity with Policy-Relevant Farm Typologies in Mexico," Agriculture, MDPI, vol. 12(9), pages 1-19, August.

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