Skip to main content
You have permission to edit this article.
Pandemic affects rural-county stability

Pandemic affects rural-county stability

The U.S. population in rural or nonmetro counties stood at 46.1 million in July 2019, essentially unchanged from 46.2 million in 2010.

Rural areas are defined here using nonmetropolitan counties. The terms “rural” and “nonmetro” are used interchangeably as are the terms “urban” and “metro.” Statistics are calculated from county-level data using the 2013 nonmetro definition provided by the Office of Management and Budget.

Prior to the onset of the COVID-19 pandemic, rural America showed modest signs of a strengthening economy but had underperformed compared with urban areas. Rural population grew by 0.02 percent in 2018-2019, a small increase after six prior years of population decline. But it was still well less than the urban increase rate of 0.6 percent. Rural counties added jobs every year during the past decade but at less than half the rate of urban counties during most years, including 2018-2019 – 0.6 percent growth in rural counties compared with 1.4 percent growth in urban counties. Rural poverty rates decreased from a 2013 rate of 18.4 percent to 16.1 percent in 2018, still well more than the urban rate of 12.6 percent.

The coronavirus COVID-19 pandemic currently besetting the United States, with more than 9 million confirmed cases and 230,000 deaths as of Nov. 1, 2020, has displayed an uneven and constantly evolving geography across the rural-urban continuum. The virus arrived in the United States in early winter and spread quickly in major metro areas. Despite some spread beyond major metro locations, cases remained centered on urban areas during the next several months.

In May and June the rate of new COVID-19 cases declined in large metro areas and stabilized in smaller cities and rural areas, only to surge again in July. That time the surge involved rural areas as well as large metro areas. More notably when the weekly case rate subsequently declined in large metro areas in August and September, the decline was echoed only partially in rural areas. In the most recent surge beginning in late September, the greatest incidence rate for new infections was in completely rural counties, while the least was in major metro areas.

Comparing COVID-19 case rates across time and space is sometimes problematic because infection with the coronavirus can result in a wide range of outcomes, ranging from no symptoms to serious illness and death. Deaths per county adult – because children have so far rarely died from COVID-19 – may provide a better gauge of the extent to which serious COVID-19 infections are affecting the population and the likely demand on rural health-care resources.

Through time and across urban and rural areas, three COVID-19 death flare-ups are evident.

  • The first flare-up occurred primarily in large metropolitan counties, like the pattern with case rates. The pandemic centered on those areas during the next several months before declining as the health-care system learned more about the virus, how to treat it and how to prevent its spread.
  • The second flare-up, which began with an increase in cases in early July and an increase in deaths two weeks later, was different in two respects. First it fully involved both rural and urban areas as the virus spread from major urban areas. Second, while the increase in the weekly rate of infections was larger than in the initial flare-up, the spike in deaths was much smaller because testing was more widespread, the infected population was younger and less vulnerable, and treatments were more effective.
  • The third flare-up, ongoing as of this writing, presents an urban-rural geography exactly the opposite of the initial flare-up, being worse the more-rural is the type of area across the urban-rural scale. Rural rates of COVID-19 mortality were never previously greater than they were in late October, and the increase in cases during that period suggests that rural mortality is likely to continue increasing. In contrast rates in large metro areas were the most reduced since the beginning of the pandemic, although their recent increase in case rates suggests that the situation may change.

COVID-19 infects health-care resources

Several factors likely help explain recent increased rural COVID-19 adult death rates in late October. The first is that rural areas had more cases of infection per 100,000 adults than urban areas in early September. But that’s not the whole story because there were two average weekly rural deaths per 100 cases of infection two weeks prior – to account for lag between infections and deaths – in late October. That was 40 percent greater than the corresponding urban death rate of 1.4.

The rural population appears to be more vulnerable to serious infection in several ways. The Centers for Disease Control and Prevention identified two personal characteristics of people extremely vulnerable to the coronavirus.

  • old age, especially very old age of more than 75
  • the presence of underlying health problems

People may also be more vulnerable when they have difficulty accessing health care, measured here as lacking health insurance and residing far from hospitals. In each case rural residents are much more likely to live in a greater-vulnerability county – the worst 20 percent of all counties – than are metro residents.

Not all counties have medical-care facilities. In 2016-2017, 116 counties or 4 percent in the United States were without a clinic, a Health Maintenance Organization medical center, a Rural Health Clinic or a hospital to provide basic medical care to residents. Ninety-seven of those counties – 83 percent – are nonmetro, and most of them – 73 counties or 63 percent – are without a town or city larger than 2,500 people. Additionally residents in 22 percent of counties must drive outside the county to receive hospital care, and only 60 percent of counties with hospitals also have an intensive care unit. The majority of counties without a hospital or an ICU are also nonmetro – 67 percent and 77 percent, respectively.

Some COVID-19 patients can quickly develop serious symptoms, and rural residents who are remote from intensive-care hospitals may have difficulty receiving care in a timely manner. The map shows nonmetro counties in the 20 percent of counties with the longest average distance to an intensive-care hospital. On average the residents of those counties are more than 32 miles from such a hospital. People living in those counties, particularly the elderly and those with underlying health conditions, may have worse outcomes for severe cases of COVID-19 due to the difficulty of accessing medical care quickly.

Rural average weekly COVID-19 mortality rates in the last three weeks of October were much less than those of major metro areas during the first COVID-19 flare-up in March. But that doesn’t mean rural health services are not under pressure. The average weekly number of nonmetro COVID-19 deaths in the last three weeks in October was equivalent to 14 percent of weekly overall nonmetro deaths during the same period in 2018 – the last year of available data. COVID-19 deaths are spread very unevenly, especially across rural areas. For instance, taken together the populations in the two most rural categories had an average weekly number of COVID-19 deaths in the last three weeks of October equivalent to 15 percent of their overall weekly average number of deaths in October 2018.

But almost half or 48 percent of those counties had no COVID-19 deaths during the last three weeks in October. Considering only the population in those rural counties that had any COVID-19 deaths, the ratio of COVID-19 deaths to total 2018 deaths in that period was 25 percent. That ratio suggests there may be increased stress on health-care resources in many of those counties, particularly when other counties in their hospital service areas were also experiencing flare-ups.

Rural unemployment varies

Prior to the COVID-19 outbreak the unemployment rate in nonmetro areas had followed a 10-year decline, from a peak of 11.5 percent in January 2010 to 3.5 percent in September 2019. After the beginning of the pandemic U.S. unemployment surged to levels not seen since the Great Depression in the 1930s. The nonmetro unemployment rate began to increase in March and peaked at a rate of 13.6 percent in mid-April, not seasonally adjusted

Nonmetro unemployment rates tracked slightly more than in metro areas during the Great Recession of 2008-2009 and throughout the 2010s, but have been less during the pandemic. Metro unemployment peaked at 14.6 percent in mid-April, 1 percentage point more than in nonmetro areas. An even wider metro-nonmetro unemployment gap during the early months of the pandemic might have been expected given the almost exclusively urban initial outbreaks.

But the unemployment surge resulted largely from government restrictions on non-essential economic activity, social-distancing requirements, voluntary decisions by consumers to limit travel, and other measures applied well beyond initial outbreak sites to help limit the spread of the virus. Some of those restrictions and consumer decisions appear to have had less impact in nonmetro areas. By the week of Sept. 12, the unemployment rate had decreased to 7.9 percent in metro areas and 6 percent in nonmetro areas.

Declining unemployment occurred as the Coronavirus Aid, Relief, and Economic Security or 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. Several states also relaxed restrictions put in place to control the pandemic and consumers began to increase spending. On any given date the impact of the pandemic on unemployment rates varied across different county types and was in part tied to the dominant economic sector in local economies.

In mid-August nonmetro unemployment rates were greatest in mining-dependent counties at 7.8 percent and the least in farming counties at 5 percent. Nonmetro-county economic types dependent on other industries experienced unemployment rates ranging from 6.4 to 7 percent. That pattern is consistent with national industry trends. The leisure and hospitality sector declined 42 percent between February and April, the largest percentage decline in employment in any major sector during the period. Employment in agriculture declined only 1.2 percent during the same period, helping to explain the smaller unemployment rate in farming-dependent counties. Extreme rates of COVID-19 cases in many nonmetro areas were associated with economic activities that did not shed jobs – most notably farming and meatpacking.

Meatpacking-dependent counties suffer

About 500,000 people work in the meatpacking industry in the United States. Many plants are in cities such as Sioux Falls, South Dakota, where meatpacking is just one of many major employers. But several other plants are in much-smaller municipalities such as Dakota City, Nebraska, and Worthington, Minnesota, where meatpacking is the primary employer in the county. In 56 counties in the United States – 49 nonmetro counties and 7 metro counties – meatpacking is estimated to account for more than 20 percent of all county employment.

While those counties comprise 2.5 percent of all rural counties and 0.6 percent of urban counties, they represent 19 percent and 2.9 percent, respectively, of all meatpacking employment in the United States. The employment dependence of those counties on a single industry makes meatpacking a unique manufacturing industry in the United States. A manufacturing industry accounts for at least 20 percent of county employment in only 91 other counties. Motor-vehicle-parts manufacturing, for example, employs at least 20 percent of the workforce in 12 counties compared with meatpacking’s 56 counties; other industries have even less geographic concentration. Beginning in mid-April the confirmed number of cases of COVID-19 in meatpacking-dependent counties began to outpace those seen in all other counties across the country.

The two-week moving-average number of new daily cases rose in meatpacking-dependent counties through the remainder of April, reaching a peak of almost 50 cases per 100,000 population by the end of the month – more than 10 times the prevalence seen in other rural counties. Even though cases in meatpacking-dependent counties started to decline in May, they remained significantly inflated compared to other rural counties, decreasing to just about seven times the number of average daily cases per 100,000 population by the end of May. Partial plant closures and increased social-distancing protocols were implemented at meatpacking plants across the country starting in late May. Those measures appear to have slowed infection rates; June saw a sharp reduction in cases in meatpacking-dependent counties.

As the pandemic began to spread more widely throughout rural America in July, rates in meatpacking-dependent counties leveled off and then declined slightly in August. Both meatpacking-dependent and other rural counties saw modest declines in the two-week moving-average number of new daily cases per 100,000 through mid-September. Since Sept. 15 all rural counties have seen a surge in average new cases per 100,000. That surge in rural new cases doesn’t appear to be driven by new outbreaks in the meatpacking industry. Meatpacking-dependent counties have maintained an almost identical pattern to other rural counties for the four most-recent months of data.

Visit for more information.

Agri-View Weekly Update

* I understand and agree that registration on or use of this site constitutes agreement to its user agreement and privacy policy.

Related to this story

Most Popular

“Darkness cannot drive out darkness; only light can do that. Hate cannot drive out hate; only love can do that.” -- Martin Luther King Jr.

The bleak days of January may not seem like a time for celebration but my ancestors knew how to break the winter blues. About Jan. 25 was the …

Treat the family to homemade doughnuts. They’re best when they’re fresh ... crisp and sugary on the outside, soft and spongy on the inside. It…

Time happens in the mind’s eye, says Adrian Bejan, Duke University mechanical-engineering professor. The idea is related to the number of ment…

Find the equipment you're looking for

Get up-to-the-minute news sent straight to your device.


Breaking News