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Debt Use By U.S Farm Businesses, 1992-2011

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  • Ifft, Jennifer
  • Patrick, Kevin
  • Novini, Amirdara

Abstract

This report is a primer on the use of debt by U.S. farm businesses for policymakers, researchers, and others interested in the financial well-being of U.S. agriculture. It presents data on basic debt-use patterns by farm businesses (in 2011, over 900,000 farms operated as farm businesses based on their size, organizational structure, or the occupation of their principal operator) and explores key trends over 20 years. U.S. farm debt use varies widely by farm size, specialization, operator age, and other farm characteristics. Largescale farm businesses, farm businesses with younger operators, and dairy and poultry farm businesses all have higher levels of debt use. Both average debt-to-asset ratios and the share of farm businesses with high debt-to-asset ratios have declined over time.

Suggested Citation

  • Ifft, Jennifer & Patrick, Kevin & Novini, Amirdara, 2014. "Debt Use By U.S Farm Businesses, 1992-2011," Economic Information Bulletin 165912, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uersib:165912
    DOI: 10.22004/ag.econ.165912
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    References listed on IDEAS

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    Cited by:

    1. Frederick Murdoch Quaye & Denis Nadolnyak & Valentina Hartarska, 2017. "Factors Affecting Farm Loan Delinquency in the Southeast," Research in Applied Economics, Macrothink Institute, vol. 9(4), pages 75-92, December.
    2. Bretford Griffin & Valentina Hartarska & Denis Nadolnyak, 2020. "Credit Constraints and Beginning Farmers’ Production in the U.S.: Evidence from Propensity Score Matching with Principal Component Clustering," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    3. MacDonald, James M. & Cessna, Jerry & Mosheim, Roberto, 2016. "Changing Structure, Financial Risks, and Government Policy for the U.S. Dairy Industry," Economic Research Report 262200, United States Department of Agriculture, Economic Research Service.
    4. Ifft, Jennifer E. & Kuhns, Ryan & Patrick, Kevin T., 2017. "Predicting Credit Demand with ARMS: A Machine Learning Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258134, Agricultural and Applied Economics Association.
    5. MacDonald, James M., 2014. "Technology, Organization, and Financial Performance in U.S. Broiler Production," Economic Information Bulletin 262121, United States Department of Agriculture, Economic Research Service.
    6. Chandio, Rabail & Katchova, Ani & Giri, Anil K. & Subedi, Dipak, 2023. "Impact of interest rate changes and government payments on farm operation's debt," 2023 Annual Meeting, July 23-25, Washington D.C. 335958, Agricultural and Applied Economics Association.

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    Keywords

    Agricultural Finance; Farm Management;

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