ERS Charts of Note
Wednesday, November 8, 2017
Over the last 10 years, the rural veteran population that served during the Iraq and Afghanistan Wars (known as post-9/11 veterans) more than doubled—rising from just under 200,000 in 2006 to over 400,000 in 2016. During the same period, their share of the total rural veteran population grew from about 4 to 13 percent. Despite that growth, the rural veteran population continued its trend of long-term decline, which has accelerated in recent years. This is likely due to the aging of the rural veteran population, the majority of whom last served during the Vietnam War (38 percent of all rural veterans in 2016). Between 2006 and 2016, the pre-9/11 rural veteran population decreased by 1.4 million (33 percent). That means that, even after accounting for the growth in the post-9/11 veteran cohort, the total rural veteran population shrank by 1.1 million people (about 26 percent). Given the relative size of the veteran population that served in prior conflicts—87 percent of nearly 3.2 million rural veterans in 2016—and future losses because of natural decrease (more deaths than births), it’s unlikely that an increase in post-9/11 veterans in the coming years will reverse the trend of rural veteran population decline. This chart updates data found in the ERS report Rural Veterans at a Glance, released November 2013.
Thursday, September 7, 2017
Population change includes two major components: natural change (births minus deaths) and net migration (in-migrants minus out-migrants). While natural change has gradually trended downward over time, net migration rates tend to fluctuate in response to economic conditions. Population growth from natural change (more births than deaths, also known as natural increase) was the norm historically. Between 2010 and 2016, however, the increase in rural population from natural change (270,000 more births than deaths) has not kept pace with the decrease in population from net migration (462,000 more people moved out than moved in). Declining birth rates, increasing mortality rates among working-age adults, and an aging population have led to the emergence of natural decrease (more deaths than births) in hundreds of U.S. counties—most of them rural. This chart appears in the September 2017 Amber Waves data feature, "Rural Areas Show Overall Population Decline and Shifting Regional Patterns of Population Change."
Wednesday, June 28, 2017
The number of people living in rural (nonmetro) counties stood at 46.1 million in July 2016, representing 14 percent of U.S. residents. Population in rural counties continued to decline slightly for a sixth straight year in 2015-16, according to the Census Bureau’s latest estimates. Rural population loss has been relatively small—192,000 fewer people in 2016 compared with 2010, a decline of just 0.4 percent. However, this overall trend masks substantial regional and local variation. Population declined by 790,000 people in the 1,350 rural counties that lost population since 2010. Extensive population-loss regions are evident throughout the Eastern United States. On the other hand, 466 rural counties grew at moderate rates (below the national average of 4.5 percent) and added 245,000 people. Many of these counties are located in recreation or retirement destinations, such as in the Intermountain West or southern Appalachia. The remaining 160 rural counties that increased at rates above 4.5 percent added 353,000 people. The highest rates of growth during 2010-16 occurred in rural counties with booming energy sectors, such as those centered in western North Dakota’s Williston Basin. However, these counties experienced a considerable population slowdown in 2015-16, in line with declines in oil and gas production. This chart appears in the ERS topic page for Population & Migration, updated June 2017.
Monday, September 19, 2016
Between 2010 and 2015, the population of rural and small-town America declined by 0.3 percent, according to Census population estimates. This loss of 137,000 people was a relatively small change that masked larger racial-ethnic trends. The non-Hispanic White population declined by 738,000 in rural (nonmetro) counties, while all other racial-ethnic groups increased by 601,000. The rural Hispanic population alone grew by 376,000 (10 percent) during this time period. The increasing Hispanic population helped nearly 10 percent of rural counties (188 counties) in Texas, New Mexico, and 32 other states maintain population growth, continuing a 30-year trend. Immigration and domestic migration drove this trend early on as Hispanic workers filled jobs in textiles, food processing, and other agricultural-related industries. Today, immigration has slowed and most of the growth in the rural Hispanic population comes from natural increase (more births than deaths). The resulting change in the composition of Hispanic families may lead to new community needs for housing, schools, and family services. Find county-level maps and data on the U.S. Hispanic population in ERS’s Atlas of Rural and Small-Town America.
Wednesday, August 24, 2016
For nearly 4 out of 10 rural counties in the U.S., 20 percent or more of the population was 65 years or older in 2015, compared with about 1 in 10 urban counties. Two long-term demographic trends help explain the concentration of older population in some of these rural “older-age” counties. First, retirees and near-retirees tend to migrate to more scenic destinations; about a third of older-age rural counties are classified by ERS as being retirement destinations, having recreation-based economies, or both. Second, young-adults tend to migrate away from more remote and less scenic rural counties, while older residents stay; another third of older-age rural counties are classified as persistent population loss counties. Many of the remaining third of older-age counties combine retiree attraction with young-adult out-migration, such as in the Ozarks in northern Arkansas or along the Virginia-North Carolina border. While these two trends create similar county age profiles, population growth and population decline generate different challenges for the communities involved. This map is based on data found in the Atlas of Rural and Small Town America.
Wednesday, June 29, 2016
Population loss in nonmetro counties reached nearly 150,000 between July 2010 and July 2015, but this overall net loss of just -0.3 percent masks significant regional and local demographic diversity. First, the number of individual nonmetro counties losing population in a 5-year period reached a 50-year high of 1,320, with a net population loss of nearly 650,000. Since the Great Recession (which ended in mid-2009), new areas of population loss have emerged throughout the eastern United States, especially in manufacturing-dependent regions. Second, the 501 nonmetro counties with moderate population growth (less than 4 percent during 2010-15) together added just over 200,000 people. Many of these moderate-growth counties are located in rural parts of the Mountain West, southern Appalachia, and other scenic areas where population growth slowed considerably for the first time in decades. Third, most nonmetro population growth was concentrated in just 154 counties that grew by 4 percent or more, adding close to 300,000 people. Workers attracted to the oil and gas boom caused rapid growth in the northern Great Plains, western and southern Texas, and southeastern New Mexico. However, recent production cutbacks in these regions slowed population growth in mining-dependent counties in the past year (2014-15). At the same time, modest population recovery can be seen in nonmetro counties adjacent to metropolitan areas (in the path of renewed suburbanization) and in scenic counties with recreation-based economies. This map is based on the ERS topic page on rural Population and Migration and the June 2016 Amber Waves finding, "Five Years of Population Loss in Rural and Small-Town America May Be Ending.”
Tuesday, June 7, 2016
Racial and ethnic minorities made up 21 percent of rural residents in 2014. Hispanics (who may be of any race) and Asians are the fastest growing minority groups in the United States as a whole and in rural areas. Over 2010-14, the rural Hispanic population increased 9.2 percent, and their share of the total rural population rose from 7.5 to 8.2 percent. Asians and Pacific Islanders represent a small share of the rural population—about 1 percent—but their population grew by 18 percent between 2010 and 2014, while rural Native American and Black populations grew at more modest rates. This is in contrast to the rural non-Hispanic White population, which declined by 1.7 percent between 2010 and 2014. Overall rural population loss (which was -0.2 percent for the period) would have been much higher if not for the growth in the rural racial and ethnic minority groups. Rural minorities tend to be younger on average and have larger families than non-Hispanic Whites, and this, along with net migration, is reflected in the varying growth rates. This chart updates one found in the ERS publication, An Illustrated Guide to Research Findings from USDA's Economic Research Service.
Friday, May 27, 2016
The number of veterans living in rural areas has been falling at an increasing rate, dropping from about 4.5 million in 2007 to 3.4 million in 2014, despite an influx of more than 100,000 post-9/11 veterans over the same period. This overall decline was largely due to natural decrease in the pre-Vietnam era population. The World War II rural veteran cohort alone declined by more than 400,000, with additional losses among all other service cohorts. Despite these declines, veterans continue to be overrepresented in rural America. In 2014, rural areas accounted for 17.5 percent of the total veteran population but only 14.7 percent of the U.S. civilian adult population. However, the rural share of the veteran population has been declining and is likely to decline further in the near future, as the newest veteran cohorts have overwhelmingly returned to urban areas and the current rural veteran population ages. Find county-level maps and data on the U.S. veteran population in ERS’s Atlas of Rural and Small-Town America.
Monday, May 23, 2016
The ERS county economic typology codes are a classification system that provide a tool to analyze and characterize the economic dependence of U.S. counties. This typology reveals that rural (nonmetropolitan) counties have diverse industrial specializations. Where farming was once almost synonymous with rural, the predominance of farming as an industry in rural areas of the United States is now largely confined to the Plains States, and only 6 percent of the rural population in 2015 lived in the 391 rural farming-dependent counties. In contrast, although also declining in number, manufacturing predominated in the economies of a similar number of rural counties (351)—concentrated mainly east of the Mississippi but also including a scattering of counties further west—and these account for about 22 percent of the rural population. The 183 rural mining dependent counties accounted for 7 percent of rural population in 2015, and were the only economic type among rural counties to see strong population growth (1.6 percent) in 2010-15. A version of this map is found in the Amber Waves article, “ERS County Economic Types Show a Changing Rural Landscape,” and the underlying codes may be found in the ERS data product, County Typology Codes.
Thursday, April 28, 2016
The total number of people living in rural (nonmetropolitan) counties remained essentially unchanged between July 2014 and July 2015, after 4 years of modest population losses. The 2014-15 improvement in rural population change coincides with an improvement in rural employment growth and suggests that this first-ever period of overall population decline (from 2010 to 2015) may be ending. Rural population change is the result of two components: net migration (the difference between the number of people moving into and out of rural counties) and natural increase (the difference between the number of births and deaths). Both components have contributed to the loss in rural population since 2010. A sharp, cyclical downturn in net migration, beginning with the housing market collapse in 2007, appears to have bottomed out in 2012. The Great Recession (December 2007-June 2009) also contributed to a downturn in natural increase, as fewer births occur during times of economic uncertainty. Falling birth rates and an aging population have steadily reduced population growth from natural increase in rural counties over time, increasing the chances of overall rural population decline in the future. This chart appears in ERS’s Ag and Food Statistics: Charting the Essentials data product, updated March 24, 2016.
Monday, January 11, 2016
ERS determined that farming was an important part of the local economy in 391 nonmetro counties and 53 metro counties, based on data on farming employment and earnings from the period 2010-12. These farming-dependent counties had at least 25 percent of average annual employee and self-proprietor personal earnings attributable to farming during 2010-12, or 16 percent or more of county jobs in farming in the same period, according to data from the Bureau of Economic Analysis. The proportion of earnings derived from farming ranged up to 83 percent of total employee and self-proprietor personal earnings and farming employment ranged up to 49 percent of total jobs among farming-dependent counties. Farming-dependent counties were primarily located in sparsely populated areas remote from major urban centers and are geographically concentrated in the Midwest and Great Plains. ERS analysis reveals the total number of farming-dependent counties fell from 511 in 2001 to 444 in 2010-12, continuing its long-term decline. A version of this map is found in the Amber Waves article, “ERS County Economic Types Show a Changing Rural Landscape,” and the underlying codes may be found in the ERS data product, County Typology Codes, updated December 7, 2015.
Tuesday, November 10, 2015
In 2008, more than 2.4 million—8.2 percent—of the rural working-age population (18 to 64 years old) were veterans. That number declined to 1.5 million (5.9 percent) in 2014. During that period, however, the share of working-age rural veterans with a disability increased (from 20.3 percent to 22.6 percent), as did their poverty rate (from 8.9 percent to 11.0 percent). The disabled are more likely to live in poverty, particularly when the disability is work limiting, and veterans are more likely to report a work-limiting disability than comparable nonveterans. Limited labor force participation and economic constraints often persist for persons with disabilities; however, vocational services and policy initiatives aim to support work among them. Disabled working-age veterans were less likely to be in poverty (18.8 percent) than their nonveteran counterparts (32.8 percent) in 2014. This chart is based on data found in the Atlas of Rural and Small Town America.
Tuesday, October 13, 2015
Hispanic population growth has slowed in both rural (nonmetro) and urban (metro) areas of the United States since the Great Recession, due to lower fertility rates and a decline in immigration, especially from Mexico. These demographic trends, along with shifts in the location of job opportunities, shifted geographic patterns of Hispanic population growth and decline across rural counties. According to the latest U.S. Census estimates, rural population growth remains above 2 percent per year for Hispanics, higher than for the non-Hispanic population (which is declining), but less than half the rate of growth seen during the 1990s and early 2000s. This downturn is most visible in farming and ranching counties in the American Southwest and in the Rio Grande Valley of Texas, areas that have for centuries had large Hispanic concentrations. Lower immigration contributed to this decrease, as did migration to new energy-sector jobs, most noticeable in the northern Great Plains in response to the shale oil and gas boom. Growth rates over 75 percent occurred in 79 rural counties, generally areas with few Hispanics in 2010 that added fewer than 10,000 new Hispanic residents as a whole. This map is based on the Atlas of Rural and Small Town America.
Monday, September 28, 2015
Nonmetro America is likely to become more ethnically diverse in the coming years; the proportion of Hispanics will increase due to their younger age structure and higher birth rates compared with non-Hispanic Whites. In nonmetro counties as a whole, 48 percent of the Hispanic population is under the age of 25, compared with 29 percent of non-Hispanic Whites. According to data from the American Community Survey, in 2014, the median age for nonmetro Hispanics was 26.0 years, much lower than the median of 44.3 years for non-Hispanic Whites. For the country as a whole, 2013 data from the National Center for Health Statistics show that there were 72.9 births per every 1,000 Hispanic women ages 15-44, compared with 58.7 births per 1,000 non-Hispanic White women of the same age. During 2010-14, the nonmetro Hispanic population increased by 8.6 percent, while the nonmetro non-Hispanic White population declined by 1.6 percent. The overall nonmetro population loss of -0.25 percent between 2010 and 2014 would have been much larger had it not been for the growth in the Hispanic population. This chart updates one found in Rural Hispanics At A Glance, EIB-8.
Tuesday, August 4, 2015
The number of rural (nonmetropolitan) counties that lost population in 2010-14 reached a historic high of 1,310. The recent economic recession, increased global competition, and technological changes led to widespread job losses in rural manufacturing. Population loss occurred throughout the eastern United States, especially in manufacturing-dependent regions such as along the North Carolina-Virginia border and southern Ohio. Population growth did occur in 666 nonmetro counties. Large sections of the northern Great Plains started to gain population after decades of persistent decline, due largely to the inmigration of workers capitalizing on the shale oil and gas production boom. Nonmetro counties in southeastern New Mexico and parts of eastern Texas also gained population from energy-related job growth. This chart appears in the August 2015 Amber Waves finding, “Population Loss in Nonmetro Counties Continues.”
Monday, June 29, 2015
During 2010-14, the number of nonmetro counties that lost population reached a historic high of 1,310. County population loss stems from two possible sources: more people leaving a county than moving into it (net outmigration) and/or more people dying than are being born (natural decrease). Historically, the vast majority of counties that lost population still continued to experience natural increase, just not enough to offset losses from net outmigration (this scenario describes less than half of the 2010-14 population loss counties). The number of nonmetro counties with population loss from both net out-migration and natural decrease grew from 387 before the recession (2003-07) to 622 during 2010-14. Clusters of counties experiencing this demographic ‘double-jeopardy’ have expanded, especially in Alabama, southern Appalachia, along the Virginia-North Carolina border, and in New England. The rising number of double-jeopardy counties signals new challenges in maintaining future population growth and sustained economic development. This map is based on information found in the Population & Migration topic page, updated June 2015.
Monday, June 8, 2015
Rural population loss is generally characterized as young people leaving. A typical nonmetropolitan county (based on the 50th percentile, or median, statistic) lost 28 percent of their 20-24 year olds to net out-migration during 2000-10, compared to just an 8-percent decline in the typical metropolitan county. However, stemming rural population loss may depend less on retaining young adults after high school than on attracting them back as they settle down to start careers and raise children. Median net migration rates in nonmetropolitan counties are highest among adults 30-34 and children 5-9. Interviews with rural return migrants showed that most came home with spouses and brought young children with them or soon started families. Conversations about returning centered on the value of family connections for child-raising in a small town environment. Return migrants described other aspects of home that bolstered their decision to move back, including schools with smaller class sizes, access to outdoor recreation, and shorter trips for work and shopping. This chart is found in the ERS report, Factors Affecting Former Residents' Returning to Rural Communities, ERR-185, May 2015.
Friday, May 22, 2015
The demographics of rural veterans are shifting as newly separated cohorts of younger veterans replace older veterans, and an increasing number of women serve and retire from the military. Since the change from a conscription-based military to an all-volunteer force in 1973, the presence of women in the military has grown from less than 2 percent of active duty personnel to more than 14 percent; as a result, the share of female veterans has steadily increased. In rural (nonmetro) counties, their share more than doubled from the end of Gulf War I (1990-1991) to the present, rising from 3.0 percent in 1992 to 6.3 percent in 2013. Over 40 percent of rural female veterans served during Gulf Wars I and II (2003-2011), compared with less than 5 percent of rural male veterans, reflecting a more youthful rural female veteran population. In 2013, 55 percent of rural female veterans were under the age of 55 compared to 26 percent of rural male veterans. This chart is based on information found in Rural Veterans at a Glance, EB-25, November 2013.
Thursday, May 14, 2015
Small population size and geographic remoteness provide benefits for residents and visitors alike, but those same characteristics often create economic and social challenges. Job creation, population retention, and provision of goods/services (such as groceries, health care, clothing, household appliances, and other consumer items) require increased efforts in very rural, remote communities. The newly updated ERS Frontier and Remote area (FAR) codes identify remote areas of the United States using travel times to nearby cities. Results for level one FAR codes (which include ZIP code areas with majority of their population living 60 minutes or more from urban areas of 50,000 or more people) show that 12.2 million Americans reside more than a one-hour drive from any city of 50,000 or more people. They constitute just 3.9 percent of the U.S. population living in territory covering 52 percent of U.S. land area. Wyoming has the highest share of its population living in FAR level one ZIP code areas (57 percent), followed by Montana, North Dakota, South Dakota, and Alaska. This map, along with the full detail of FAR codes levels 1-4 may be found in the ERS data product, Frontier and Remote Area Codes, updated April 2015.
Thursday, April 16, 2015
ERS Rural Urban Continuum (RUC) codes subdivide the broad metro/nonmetro categories into three metro and six nonmetro groupings. Recently released county-level estimates show that population change within the RUC ranged from over 4-percent growth in metro areas with 1 million or more people to 1-percent declines in the two rural, nonmetro categories. Overall population growth occurred in nonmetro counties with sizeable towns (more than 20,000 urban residents) despite net out-migration. In these counties, employment opportunities often attract younger populations, which in turn imparts higher rates of natural increase (more births than deaths) compared with other nonmetro counties. Conversely, long-term out-migration of younger people results in an older average population in the most rural counties, creating a pattern of natural decrease (more deaths than births). For decades, nonmetro counties that were physically adjacent to metro areas grew rapidly from suburbanization. This is no longer happening, due to the effects of the housing crisis, changing residential preferences that favor urban centers, and reclassification of fast-growing suburban counties from nonmetro to metro. This chart is found in the ERS topic page on Population and Migration, updated April 2015.