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The purpose of this study is to examine how US farm sector performed in 2020, the first year of the pandemic. There were significant supply and demand shocks due to the pandemic. Furthermore, there was significant fluctuation in commodity prices and record high government payments in 2020. This study aims to examine the performance and position of US farm sector (financially) to system (and global economy) wide shocks.

The authors examine 2020 values for farm sector financial ratios before and after the onset of the Coronavirus (COVID-19) pandemic using the data from the United States Department of Agriculture to understand the financial position and performance of the US farm sector.

The authors find solvency ratios (which are indicators of the sector's ability to repay financial liabilities via the sale of assets) worsened in 2020 relative to pre-pandemic expectations. Efficiency ratios (which evaluate the conversion of assets into production and revenue) and liquidity ratios (which are indicators of the availability of cash to cover debt payments) showed mixed outcomes for the realized results in 2020 relative to the pre-pandemic forecasts. Four profitability ratios were stronger in 2020 relative to pre-pandemic expectations. All solvency, liquidity and profitability ratios plus 2 out of 5 efficiency ratios for 2020 were weaker than their respective average ratios obtained from 2000 to 2019 data.

This research is one of the first papers to use financial ratios to examine how the US farm sector performed in 2020 compared to expectations prior to the pandemic.

In recent years, socially disadvantaged farmers and ranchers have increased their usage of nontraditional lending nearly converging to levels of usage observed for nonsocially disadvantaged groups. The purpose of this research is to explore explanations for this trend in lending utilization by socially disadvantaged farmers and ranchers by examining factors that influence credit usage and credit choice.

A multinomial logit is used to estimate the probability of loan choice given characteristics of the producer and farm.

While not a causal analysis, the results suggest that farm characteristics, which differ between socially disadvantaged and nonsocially disadvantaged producers, are associated with a lower likelihood of credit usage by an average socially disadvantaged farmer. For those that have loans, socially disadvantaged producers exhibit higher debt-to-asset ratios and lower current ratios, characteristics that are typically associated with higher than observed probability of usage of loans other than nontraditional. Socially disadvantaged producers also have lower value of assets which is associated with a higher probability of nontraditional loan usage.

This research is among the first to examine loan usage of socially disadvantaged producers using nationally representative data.