The COVID-19 Pandemic and Rural America
Recent county-level evidence on the prevalence of COVID-19 and local unemployment and employment rates, while no means a complete picture, provides indication of the spread of the virus and ensuing economic recession across the United States (see the note on data sources). The analysis of COVID-19 prevalence presented below focuses on cumulative COVID-19 case rates and not on recent or active cases.
COVID-19 has spread to nearly every nation in the world, and to every State and almost every inhabited county in the United States. The virus initially spread most rapidly to large metro areas, and most confirmed cases have been in metro areas with populations of at least 1 million. This is consistent with most of the U.S. population living in large metro areas. In per capita terms, the prevalence of cumulative COVID-19 cases was greater in metro than in nonmetro areas until late October 2020. The prevalence of cumulative COVID-19 cases is now greater in nonmetro areas. 14.7 percent of all cumulative COVID-19 cases were in nonmetro areas on February 2, 2021, slightly larger than the share of the U.S. population residing in nonmetro areas (14.0 percent). The rate of increase of cumulative COVID-19 cases peaked in early January 2021 and has since declined in both metro and nonmetro areas.
By February 2, the regions with the highest prevalence of COVID-19 cases included much of the Great Plains and parts of the Mountain West, the upper Midwest, the South, Southeast and Southwest. Less affected areas include much of the Northeast, the West Coast, and Hawaii—though many exceptions are evident in these regions.
Higher COVID-19 case rates and death rates have been observed in certain subpopulations, such as people confined to prisons and nursing homes, and in many minority populations, including Native Hawaiians/Pacific Islanders, American Indian/Alaska Natives, Hispanics/Latinos, and Blacks/African Americans, according to the COVID Tracking Project.
Higher COVID-19 prevalence is also associated with some industries, particularly in nonmetro counties. The Economic Research Service (ERS) classifies counties by economic type, based primarily on the dependence of employment and earnings on specific types of industries. Among nonmetro counties, the highest cumulative COVID-19 case rates are found in manufacturing-dependent and farming-dependent counties. The high prevalence of COVID-19 in nonmetro manufacturing-dependent counties is due partly to higher cumulative COVID-19 case rates in meatpacking-dependent counties (those in which 20 percent or more of employment is in the meatpacking industry), almost all of which are manufacturing-dependent counties. However, even excluding meatpacking-dependent counties, COVID-19 case rates are highest in nonmetro manufacturing-dependent counties. Nonmetro recreation counties have the lowest COVID-19 case rates.
After the pandemic started, U.S. unemployment surged to levels not seen since the Great Depression in the 1930s. In March, the unemployment rate began to rise. Monthly unemployment estimates reported by the Bureau of Labor Statistics (BLS) refer to the week that includes the 12th day of each calendar month. By the week including April 12, U.S. unemployment peaked at a seasonally adjusted rate of 14.7 percent. This surge resulted from government restrictions on non-essential economic activity, social distancing requirements, temporary closures of some facilities due to infection concerns, effects of illness on availability of some essential workers, and voluntary decisions by consumers to limit travel and other activities.
The unemployment rate began to decline after April as the Coronavirus Aid, Relief, and Economic Security (CARES) Act, other new Federal laws, and the Federal Reserve made trillions of dollars in funds available as part of efforts to address the recession. Additionally, States relaxed restrictions put in place to control the pandemic. All these resulted in consumers starting to increase spending again. By the week of November 12, the national unemployment rate had fallen to 6.7 percent and remained unchanged in December. In January 2021, the national unemployment rate fell again, to 6.3 percent.
Based on BLS estimates of county-level employment and unemployment, the unemployment rate rose rapidly in both metro and nonmetro areas in March and April. The (not seasonally adjusted) rate reached almost 14.6 percent in metro areas and about 13.6 percent in nonmetro areas by the week of April 12. After April, the unemployment rate declined in both metro and nonmetro areas. By the week of November 12, the unemployment rate had fallen to 6.6 percent in metro areas and 5.3 percent in nonmetro areas. The unemployment rate remained at 6.6 percent in metro areas but increased to 5.5 percent in nonmetro areas by the week of December 12.
Note: The BLS county-level estimates of employment and unemployment are not seasonally adjusted.
Changes in the unemployment rate do not tell the entire story of labor market changes during the COVID-19 pandemic. Coinciding with the rise in unemployment at the beginning of the pandemic and recession, the national civilian labor force participation rate of adults aged 16 and older dropped from 63.3 percent in February to 60.2 percent in April, according to BLS data (labor force participation in metro and nonmetro areas during this period are not available). Labor force participation partially recovered by June but has remained in the range of 61.4 to 61.7 percent since June; below the level of labor force participation prior to the pandemic.
Percent changes in employment compared to the levels seen 12 months earlier are inversely related to changes in the unemployment rate. However, because labor force participation has declined, percent employment changes show less recovery than changes in the unemployment rate. For example, although the unemployment rate in nonmetro areas had declined almost to the pre-pandemic level by November 2020, employment in nonmetro areas remained 3.0 percent below the nonmetro employment level from 12 months earlier. Considering that nonmetro employment grew 0.6 percent in the 12 months prior to November 2019, nonmetro employment in November 2020 was about 3.6 percent less than it would have been if the employment growth from November 2019 to November 2020 had continued at the same rate as the growth from November 2018 to November 2019. The net decline in metro employment in the same period was even greater, changing from growth of 1.5 percent between November 2018 and November 2019 to a decline of 5.5 percent between November 2019 and November 2020.
Unemployment rates in November varied substantially across counties in the United States, ranging from a low of 0.4 percent to a high of 19.0 percent. Generally, the highest unemployment rates were evident in parts of the East Coast region, central Appalachia, the lower Mississippi Delta, Texas, the Southwest, the West Coast, Hawaii and Alaska. The lowest unemployment rates were evident in the Great Plains and much of the Midwest and Mountain West, though high unemployment rates occurred in some counties in these regions as well.
The unemployment rate in November was higher in metro than in nonmetro counties for all county economic types. Farming-dependent counties had the lowest unemployment rate in both metro and nonmetro counties (4.2 percent in nonmetro and 4.4 percent in metro farming-dependent counties), and manufacturing-dependent counties also had relatively low unemployment (4.6 percent in nonmetro and 5.2 percent in metro manufacturing-dependent counties). The highest unemployment rate occurred in metro mining-dependent counties (8.3 percent). Among nonmetro counties, the highest unemployment rate also occurred in mining-dependent counties (6.9 percent).
In general, nonmetro counties have lower unemployment rates than metro counties but somewhat higher prevalence of COVID-19 cases per 100,000 residents. This inverse relationship appears to be most evident in farming-dependent and manufacturing-dependent nonmetro counties, which have the highest prevalence of COVID-19 but the lowest unemployment rates in the most recent data.
The county-level data on COVID-19 cases are from the Johns Hopkins University Center for Systems Science and Engineering (JHU-CSSE). The number of cases in each county are divided by the 2019 population of the county to compute case rates, using the 2019 U.S. Department of Commerce, Bureau of the Census population estimates. The JHU-CSSE case data are based on case reports provided by the U.S. Centers for Disease Control and Prevention (CDC) and by State and local health departments. Not all cases are assigned to specific counties in the JHU-CSSE data (1.5 percent of total cases were not assigned to specific counties on February 2, 2021); these unassigned cases are not included in the analysis of case rates by metro status or county economic types.
The county-level data on unemployment rates are from the BLS Local Area Unemployment Statistics (LAUS) program. These data are model-based estimates based mainly on the monthly Current Population Survey employment and unemployment estimates, and unemployment insurance claims data from State workforce agencies. The county estimates are controlled to sum to State-level estimates, which are controlled to sum to national estimates.
The LAUS estimates are considered preliminary in the first month after release, as additional information is incorporated into subsequent estimates. Significant changes in estimated county-level unemployment rates can occur between the initial preliminary estimate and subsequent revised estimates. For example, the maximum change in the unemployment rate for a single county between the preliminary estimate for March 2020 provided in the LAUS data released on April 29, 2020, and the revised estimate for March 2020 provided in the LAUS data released on June 5, 2020, is 1.94 percentage points. Across all counties, the mean difference in the March 2020 unemployment rate between the preliminary and revised estimate was -0.06 percentage points (i.e., the mean rate was 0.06 percentage points lower in the revised LAUS estimates), and the median difference was -0.08 percentage points.
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