Economic Growth

Breaking down the South’s economic underperformance: Rooted in Racism and Economic Exploitation: Part Two

Overview

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Summary: States that have embraced the Southern economic development model are underperforming when compared to regions that did not implement this model.

Key findings

  • The South is the region with the lowest per capita GDP relative to other regions in the United States when D.C. is excluded; Southern states are overrepresented among those with the lowest per capita GDP. 

  • Over the past 40 years, job growth across the South has lagged working-age population growth.  

  • The lower levels of unemployment across the South are misleading; the region’s low labor force participation and prime-age employment-to-population ratio (EPOP) indicate that many Southerners have become discouraged because they are unable to find a job or face serious employment obstacles. 

  • Large and intersecting racial and gender disparities in employment for Southerners reflect inequities and policy failures across the region. 

Why this matters

Far from delivering on their promises of shared abundance and economic prosperity, “business-friendly” policies have impoverished the South. The Southern economic development model is a key feature shaping the region’s economic underperformance. 

How to fix it

Instead of funneling resources to wealthy Southerners and corporations, policymakers should strengthen the social safety net, adequately fund schools, provide affordable access to childcare and transportation, and enforce labor laws or safety standards for workers.  

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In speeches and promotional materials—often seeking to lure businesses to relocate to the South—policymakers, chambers of commerce, and corporate leaders across the region boast about their state’s low taxes, anti-union stances, and pro-business regulatory climates. For example, the website for Memphis Moves, an initiative of the greater Memphis Chamber, proudly states:

Tennessee is committed to providing an attractive business climate with a focus on low debt and a pro-business regulatory environment. Tennessee is proud to be a right-to-work state with no personal income tax on wages. Our state and local tax burdens are among the lowest in the country (Memphis Moves n.d.).

These sentiments, especially around unions, are shared by many Southern governors. For example, the governor of Alabama recently wrote:

Alabama has become a national leader in automotive manufacturing, and all this was achieved without a unionized workforce. In other words, our success has been home grown – done the Alabama way (Ivey 2024).

The governor of South Carolina shared a similar sentiment:

One thing we do not need is more labor unions… We have gotten where we are without them, and we do not need them now.

He continued:

We will fight. All the way to the gates of hell. And we will win (Harris 2024).

These statements highlight some of the major components of the Southern economic development model that politicians and business interests across many Southern states advocate for.1 As noted in the Memphis Moves quote, a key component of this model is ensuring the absolute minimal levels of regulation on businesses, including a lack of enforcement of labor laws or safety standards for workers (Cooper and Kroeger 2017; Fleischman and Franklin 2017; FPI 2024).

Each of the quotes underline policymakers and business interests’ hostility toward unions. Unions empower workers to advocate collectively to ensure they are paid livable wages and provided with basic benefits, such as health insurance, paid time off, and retirement benefits. Instead, politicians defend low wages for workers and the lack of regulation on businesses in their states, as well as the threadbare safety net in place across the South (Childers 2023).

Cash payments to help support poor families, for example, are distributed through a program known as Temporary Assistance to Needy Families (TANF). In 13 of 17 Southern states, a single mother with two children would receive a maximum monthly cash benefit of $500 or less. Some of the least generous benefits are in states like Alabama ($215), Arkansas ($204), Georgia ($280), Kentucky ($262), Mississippi ($260), North Carolina ($272), and Oklahoma ($292). This is compared with the $492 maximum monthly benefit in Michigan—the median state for TANF benefits in July 2022—and $1,151 in New Hampshire, the state with the most generous benefit (Thompson, Azevedo-McCaffrey, and Carr 2023).

The unemployment insurance benefit systems across the South are similarly stingy, with maximum weekly benefit amounts across the South being as low as $235 in Mississippi and $275 in Alabama, Florida, Louisiana, and Tennessee (The Century Foundation 2023).

While politicians across the South keep benefit levels for workers and families remarkably low, they further enrich wealthier Southerners and corporations by funneling them money that could be used to build out the social safety net, adequately fund schools, and provide public transportation. States across the South provide corporations with massive subsidies, tax breaks, and other incentives, such as the $1.3 billion South Carolina agreed to spend to attract Scout Motors or Georgia’s $1.8 billion in incentives to Hyundai to build electric vehicles in the state (AP 2022; Bustos and Hughes 2023).

Public officials’ stated goals for these subsidies is that they will attract jobs—good jobs—and drive growth in the region. But as we show in Figure B, Southern states are among the states with the lowest gross domestic product (GDP), whose job growth consistently falls behind population growth, and that have the lowest labor force participation rates of any region.

How we define the South

In this report, we use the U.S. Census Bureau’s definition of the South, which includes Alabama, Arkansas, Delaware, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, West Virginia, and the District of Columbia. Figure A shows the states that make up each of the regions compared in this series. When specific analyses focus on a subset of states, we note which states are included or excluded.

Figure A

The South is made up of 16 states and the District of Columbia: Map of the four regions of the United States and the states that make up those regions

State Region code
Alabama South 1
Alaska West 2
Arizona West 2
Arkansas South 1
California West 2
Colorado West 2
Connecticut Northeast 3
Delaware South 1
Washington D.C. South 1
Florida South 1
Georgia South 1
Hawaii West 2
Idaho West 2
Illinois Midwest 4
Indiana Midwest 4
Iowa Midwest 4
Kansas Midwest 4
Kentucky South 1
Louisiana South 1
Maine Northeast 3
Maryland South 1
Massachusetts Northeast 3
Michigan Midwest 4
Minnesota Midwest 4
Mississippi South 1
Missouri Midwest 4
Montana West 2
Nebraska Midwest 4
Nevada West 2
New Hampshire Northeast 3
New Jersey Northeast 3
New Mexico West 2
New York Northeast 3
North Carolina South 1
North Dakota Midwest 4
Ohio Midwest 4
Oklahoma South 1
Oregon West 2
Pennsylvania Northeast 3
Rhode Island Northeast 3
South Carolina South 1
South Dakota Midwest 4
Tennessee South 1
Texas South 1
Utah West 2
Vermont Northeast 3
Virginia South 1
Washington West 2
West Virginia South 1
Wisconsin Midwest 4
Wyoming West 2

Source: EPI analysis of U.S. Census Bureau 2021.

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Southern states adopting the Southern economic development model have lower GDPs

The first indicator this report examines is the state-level gross domestic product (GDP). The GDP is the total value of goods and services produced in an economy. It is a comprehensive measure that represents overall spending by government, the output of businesses and their workers, investments made by actors in the economy, and the trade conducted with economic actors in other jurisdictions.

GDP grows when governments spend more money, when the demand for goods and services produced by businesses grows, when more resources are invested in the area, and when the productivity of workers and their employers increase. Productivity—the income generated from each hour of work—generally increases when workers, their employers, and their political leaders invest in education and job training; necessary capital investments such as machinery, digital technologies, and public infrastructure; and work supports such as living wages, fair scheduling policies, and paid leave. All these investments can help make workers more productive.

Overall GDP trends are heavily driven by national and often global macroeconomic forces, and regional or state GDP trends can differ significantly depending on how a particular state or region’s economy is implicated by those macroeconomic forces. For example, states with heavy tourism industries were particularly exposed to the effects of the COVID-19 pandemic, as the drop in travel and face-to-face services meant these states were more likely to experience a sharper drop in overall economic activity than states where tourism is less prominent.

Still, state and local policymakers have enormous power to shape the public services, educational opportunities, infrastructure, and other investments being made in regional economies. Similarly, policymakers and employers can powerfully influence both productivity and consumer demand through the choices they make governing job quality and investments in workers. As a result, GDP trends do vary by region and by state within regions.

Figure B shows the per capita GDP for the United States and for each region of the country in 2019, before the COVID-19 recession, and in 2022.2 If we look at the regions as the Census Bureau defines them, the South has the lowest per capita GDP in both 2019 ($67,220) and 2022 ($69,811).

The South, however, includes the District of Columbia (D.C.), which has the highest per capita GDP of any state. But D.C.’s unique position as a city-state and the seat of the federal government artificially raises the overall per capita GDP for the region. Notably, D.C. does not conform to the Southern economic development model. If we exclude D.C. from the analysis, Figure B shows that the GDP across the South is even lower. The GDP across the South falls even further if Maryland and Delaware—two more states that do not follow the Southern economic development model—are also excluded.

Figure B

The South has the lowest per capita GDP of all regions and the Southern GDP declines further without D.C., Delaware, and Maryland: GDP per capita by region, 2019 and 2022

Region 2019 2022
USA $73,858 $77,178
Northeast $86,942 $88,211
West $79,072 $84,341
Midwest $70,231 $71,816
South $67,220 $69,811
South w/o DC $66,327 $68,888
South w/o DC, MD, and DE $65,550 $68,263
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Note: GDP per capita is state GDP divided by resident population. Regional GDP is state average weighted by population. GDP in 2022 dollars. 

Source: EPI analysis of state GDP data from the Bureau of Econoimic Analysis and U.S. Census Bureau Resident Population data, retrieved from FRED, Federal Reserve Bank of St. Louis.

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While this report uses the Census Bureau’s definition of the South, one could argue that D.C., Maryland, and Delaware should not be included in the region, since they were not part of the Confederacy and have not followed the Southern economic development model with their relatively higher wages, higher minimum wages, and greater protections for workers. For example, most states across the South either have no state minimum wage or have the minimum wage set at the federal rate of $7.25 per hour. D.C., however, has a minimum wage of $17, Maryland’s is $15, and Delaware’s is $13.25 (EPI 2024; Hickey 2023). None of these are so-called right-to-work states and all three have passed paid family and medical leave laws for workers (Williamson 2023). Including these states in the analysis, however, allows the data to show how taking a different policy path can bring ample benefits to workers and families.

Next, we examine GDP trends for individual states. Figure C shows the 2022 per capita GDP for the 10 states with the highest per capita GDPs. Just one Southern state—Delaware—is included among the top 10. The District of Columbia would also be among the 10 jurisdictions with the highest GDP but was omitted from these rankings for the reasons mentioned above.

Figure C

Of the 10 states with the highest per capita GDP, just one—Delaware—is in the South: Ten states with the highest GDP per capita, 2022

State GDP per capita
New York $104,121 
Massachusetts $99,024 
Washington $94,817 
California $93,278 
North Dakota $93,273 
Alaska $89,596 
Connecticut $88,493 
Delaware $88,486 
Wyoming $84,385 
Colorado $84,110 
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Note: GDP per capita is state GDP divided by resident population. The District of Columbia was omitted from the ranking of state GDPs but if it were included, it would have the highest GDP. Values are in 2022 dollars.

Source: EPI analysis of state GDP data from the Bureau of Economic Analysis and U.S. Census Bureau Resident Population data, retrieved from FRED, Federal Reserve Bank of St. Louis.

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Figure D shows the 10 states with the lowest per capita GDP. Seven of these 10 states are in the South—Alabama, Arkansas, Kentucky, Mississippi, Oklahoma, South Carolina, and West Virginia. Mississippi has the lowest GDP of all states. These Southern states follow the Southern economic development model, as opposed to states like Delaware and Maryland or the District of Columbia, which do not.

Figure D

Seven of the 10 states with the lowest per capita GDP are in the South, Mississippi has the lowest of all states: Ten states with the lowest GDP per capita, 2022

State GDP per capita
Oklahoma $60,394 
Montana $59,732 
New Mexico $59,400 
Kentucky $57,404 
Idaho $57,180 
South Carolina $56,322 
Alabama $55,494 
West Virginia $54,913 
Arkansas $54,487 
Mississippi $47,628 
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Note: GDP per capita is state GDP divided by resident population. GDP in 2022 dollars.

Source: EPI analysis of state GDP data from the Bureau of Econoimic Analysis and U.S. Census Bureau Resident Population data, retrieved from FRED, Federal Reserve Bank of St. Louis.

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GDP is an important measure of overall economic trends, but it is limited in its ability to provide an understanding of the experiences and living standards of average workers and their families. Only in the theoretical scenario where inequality is low and overall economic growth is equally shared do changes in GDP necessarily reflect the experience of the average individual or household. When economic gains go to fewer and fewer people, as has increasingly been the case in the South and across the country, changes in GDP disproportionately reflect the experiences of those at the top (Boushey and Clemens 2018; Clemens 2023).

To better understand the living conditions and experiences of average households in the South, we need to look at a variety of economic measures, particularly those describing households’ engagement with the labor market. Most households get the bulk, if not all, of their income through work. Thus, economic outcomes of workers in the South are key to understanding how the Southern model has impacted people in the region. Next, we examine various additional components of the Southern labor market to gain a more comprehensive understanding of work and workers across the South.

Before getting into labor market indicators, however, it’s important to emphasize how large the Southern population is, and how much it has grown. Population growth or decline is an important factor impacting a region’s GDP. And how the Southern population grows relative to other regions has consequential implications for the economic health of the country as a whole. The 17 states that make up the South were home to almost four in 10 Americans (38.1%) in 2020. Figure E shows how the share of the U.S. population that resides in each region has shifted between 1910 and 2020. The South not only has the largest population of any region in the nation, but also its population is the fastest growing.

Figure E

The South has a larger population than any other region and the share is growing: Share of the United States population in each regions, 1910 to 2020

Year South Region Northeast Region Midwest Region West Region
1910 31.9% 28.0% 32.4% 7.7%
1920 31.2% 28.0% 32.1% 8.7%
1930 30.7% 27.9% 31.3% 10.0%
1940 31.5% 27.2% 30.4% 10.9%
1950 31.2% 26.1% 29.4% 13.3%
1960 30.7% 24.9% 28.8% 15.6%
1970 30.9% 24.1% 27.8% 17.1%
1980 33.3% 21.7% 26.0% 19.1%
1990 34.4% 20.4% 24.0% 21.2%
2000 35.6% 19.0% 22.9% 22.5%
2010 37.1% 17.9% 21.7% 23.3%
2020 38.1% 17.4% 20.8% 23.7%
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Source: Author's analysis of U.S. Census Bureau’s Historical Population Change Data.

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This growth in the share of the population living in the South reflects several factors, including natural increases—i.e., more births than deaths—as well as international immigration (especially across the Southern border, from South America and the Caribbean) and domestic migration to the region.

Politicians point to population growth across the South as evidence of the positive impacts of their policies, but strong population growth has not occurred uniformly across the region—despite the widespread adoption of the Southern model—and growth tends to be concentrated in specific states and cities. For example, Texas and Florida are two of the largest states in the nation and they had the highest population growth from 2021 to 2022, but Louisiana, West Virginia, Maryland, and Mississippi all saw their populations decline during the same period (U.S. Census Bureau 2022).

Many of those moving to the South from other regions are seeking cheaper housing (Henderson 2016). Land generally tends to be cheaper across the South, contributing to housing that is much more affordable than in places like California and New York. Texas and Florida’s populations also had some of the largest gains in international migration between 2021 and 2022 (U.S. Census Bureau 2022).

Another contributor that is largely ignored in discussions of population growth in the South is the fact that, beginning in the 1960s and 1970s, the use of air conditioning became more widespread across the region. Prior to that time, the oppressive heat during summer months along with high humidity left many Southerners in misery. This was fundamentally changed, however, by air conditioning in cars, homes, and businesses (Arsenault 1984). As Figure D shows, before 1970, the share of the population living in the South fluctuated between 30–32%. Since 1970, it has continued to increase in each subsequent decade.

Job growth across the South lags other regions

Many Southern politicians argue that the policies associated with the Southern economic development model that is common across Southern states—low wages, lax business regulations, zealous defense of so-called right-to-work laws—produce stronger job growth. When we examine the data, however, we find that job growth across the South has not outpaced population growth and, in most instances, it has failed to keep up with population growth.

The region’s underwhelming job growth is very likely a direct result of some of the Southern model’s intentional aims. Low wages and a weak safety net undermine workers and households’ spending power, reducing the overall demand for goods and services that might lead to stronger GDP and job growth. Similarly, with little union presence in the region, workers lack what has traditionally been a key vehicle for increasing workers’ share of overall income in the economy. Because low- and middle-income households tend to spend a larger share of their income than corporations and high-income households, if more income is captured by businesses and corporate shareholders, it can further depress overall demand for goods and services that could drive up GDP and spur faster job growth.

In Figure F, we compare job growth with the growth in the working-age population across each region. While the share of the U.S. population living in the Midwest and Northeast has declined since the late 1970s, the number of working-aged people in all regions increased. The data show that since the early 2000s, job growth has lagged population growth across the South. Figure F shows that between 1976 and the mid-2000s, Southern job growth had generally moved in tandem with population growth but never exceeded growth in the working-age population. Over the last decade and a half since the 2007–2009 Great Recession, job growth has failed to even keep up, indicating that job growth resulting from the Southern economic development model has not been particularly impressive. Indeed, compared with other regions, the Southern model fared no better than the rest of the country over the same period.

Figure F

Job growth across the South fails to keep up with growth in the working-age population: Cumulative job growth and population growth across the South, 1977–2019

Population growth Job growth
1977 1,267,416   1,284,911 
1978 2,532,334   2,935,998 
1979 3,867,584   4,059,991 
1980 5,201,833   4,751,510 
1981 6,433,496   5,518,831 
1982 7,630,166   5,620,934 
1983 8,669,414   6,176,813 
1984 9,630,667   7,952,282 
1985 10,623,832   9,113,601 
1986 11,513,750   9,748,660 
1987 12,306,080   10,824,988 
1988 12,978,833   12,122,672 
1989 13,662,914   13,061,495 
1990 14,926,611   13,969,456 
1991 15,920,162   13,933,847 
1992 16,877,144   14,444,984 
1993 17,950,796   15,813,687 
1994 19,038,362   17,142,019 
1995 20,133,601   18,720,949 
1996 21,271,247   19,937,982 
1997 22,401,896   21,446,810 
1998 23,498,718   22,905,917 
1999 24,564,534   24,028,049 
2000 25,532,544   25,459,512 
2001 26,581,086   25,589,803 
2002 27,645,876   25,662,589 
2003 28,668,719   26,159,567 
2004 29,824,155   27,453,926 
2005 31,083,266   29,067,334 
2006 32,408,346   30,734,429 
2007 33,769,067   32,297,997 
2008 34,952,955   32,349,656 
2009 36,004,988   30,545,345 
2010 37,706,291   30,436,865 
2011 39,020,863   31,779,969 
2012 40,139,552   32,850,120 
2013 41,230,256   34,116,058 
2014 42,395,433   35,728,792 
2015 43,656,009   37,341,321 
2016 44,927,358   38,576,692 
2017 45,833,735   40,002,604 
2018 46,817,141   41,765,484 
2019 47,814,181   43,215,009 
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Note: Population growth refers to growth of the working-age population aged 16 and older.  

Source: Population growth based on EPI analysis of population data from the state-level “Employment status of the civilian noninstitutional population, annual averages” from the Bureau of Labor Statistics. Job growth based on analysis of Regional Economic Information System employment data from the Bureau of Economic Analysis, U.S. Department of Commerce

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Figure G shows the same data for the remaining regions. While all regions experienced a decline in the number of jobs in the region during the 2007–2009 recession, Figure G shows that in the Northeast and Midwest, job growth consistently exceeded population growth although neither region grew as quickly as the South. Population and job growth in the West region was similar to that in the South.

Figure G

Job growth exceeds growth in the working-age population across the Northeast and the Midwest: Job growth and working-age population growth in the Northeast, Midwest, and West, 1977–2019

Midwest

Cumulative population growth Cumulative job growth
1977 561,002   835,704 
1978 1,081,584   1,813,172 
1979 1,521,166   2,393,300 
1980 1,898,665   1,875,964 
1981 2,170,500   1,644,785 
1982 2,287,085   968,459 
1983 2,349,835   1,098,890 
1984 2,523,334   2,168,187 
1985 2,680,416   2,774,166 
1986 2,970,750   3,305,687 
1987 3,329,916   4,135,027 
1988 3,652,667   4,896,430 
1989 3,844,001   5,583,191 
1990 3,470,007   6,142,720 
1991 3,889,290   6,112,862 
1992 4,289,818   6,349,528 
1993 4,733,427   6,963,787 
1994 5,122,040   7,960,062 
1995 5,534,234   8,921,049 
1996 5,958,930   9,536,491 
1997 6,282,790   10,163,573 
1998 6,579,400   10,863,329 
1999 6,897,678   11,413,574 
2000 7,207,812   12,104,673 
2001 7,558,560   11,826,122 
2002 7,890,482   11,462,053 
2003 8,205,664   11,411,266 
2004 8,499,267   11,784,466 
2005 8,821,137   12,215,113 
2006 9,178,117   12,606,555 
2007 9,507,140   13,086,421 
2008 9,800,189   12,840,347 
2009 10,070,862   11,435,412 
2010 10,295,249   11,247,783 
2011 10,558,826   11,897,743 
2012 10,830,835   12,349,477 
2013 11,102,890   12,848,484 
2014 11,355,746   13,408,073 
2015 11,553,299   13,986,591 
2016 11,760,714   14,349,753 
2017 12,256,532   14,626,495 
2018 12,459,014   15,084,556 
2019 12,656,723   15,536,381 
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Northeast

Cumulative population growth Cumulative job growth
1977 276,082   422,204 
1978 529,499   1,148,365 
1979 788,751   1,760,831 
1980 1,012,084   1,912,979 
1981 1,317,416   2,008,549 
1982 1,557,666   1,914,197 
1983 1,811,251   2,162,643 
1984 2,063,417   3,114,721 
1985 2,243,583   3,794,339 
1986 2,485,333   4,418,142 
1987 2,737,417   4,881,080 
1988 2,933,666   5,601,253 
1989 3,004,751   5,786,778 
1990 3,312,218   5,644,832 
1991 3,406,538   4,854,629 
1992 3,454,512   4,824,665 
1993 3,581,985   5,035,361 
1994 3,694,873   5,264,244 
1995 3,837,681   5,567,799 
1996 4,035,820   5,891,059 
1997 4,237,876   6,356,642 
1998 4,467,515   6,882,609 
1999 4,712,572   7,474,755 
2000 4,931,019   8,280,281 
2001 5,202,122   8,359,551 
2002 5,478,548   8,201,931 
2003 5,734,418   8,237,511 
2004 5,955,742   8,645,927 
2005 6,180,024   9,062,673 
2006 6,436,047   9,480,184 
2007 6,691,971   10,108,142 
2008 6,954,025   10,235,631 
2009 7,217,799   9,476,141 
2010 7,525,380   9,440,562 
2011 7,831,076   9,995,304 
2012 8,079,448   10,346,035 
2013 8,285,356   10,831,335 
2014 8,463,328   11,379,946 
2015 8,580,227   12,031,171 
2016 8,678,966   12,482,870 
2017 9,689,991   12,833,107 
2018 9,876,022   13,422,552 
2019 10,017,315   13,972,918 
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West

Cumulative population growth Cumulative job growth
1977 904,332   908,181 
1978 1,875,417   2,197,865 
1979 2,842,750   3,341,778 
1980 3,774,998   3,851,547 
1981 4,498,916   4,150,635 
1982 5,164,500   4,068,510 
1983 5,763,666   4,616,154 
1984 6,458,165   5,701,710 
1985 7,168,249   6,523,394 
1986 7,874,917   7,168,611 
1987 8,598,584   8,116,105 
1988 9,315,082   9,352,345 
1989 10,056,333   10,155,136 
1990 11,738,841   10,982,692 
1991 12,372,253   11,120,262 
1992 13,150,428   10,955,723 
1993 13,809,853   11,370,365 
1994 14,435,776   12,239,075 
1995 15,065,619   13,114,803 
1996 15,762,044   14,099,468 
1997 16,622,385   14,982,975 
1998 17,484,563   16,238,145 
1999 18,316,568   17,023,722 
2000 19,086,338   17,935,134 
2001 19,932,891   18,155,524 
2002 20,725,595   18,177,327 
2003 21,457,733   18,521,956 
2004 22,216,178   19,364,181 
2005 23,008,526   20,402,080 
2006 23,862,658   21,456,232 
2007 24,653,887   22,459,940 
2008 25,446,337   22,197,066 
2009 26,188,500   20,588,602 
2010 27,046,378   20,185,290 
2011 27,788,208   20,827,484 
2012 28,498,237   21,842,868 
2013 29,186,275   22,938,023 
2014 29,923,226   24,125,789 
2015 30,708,957   25,375,517 
2016 31,520,160   26,378,385 
2017 32,115,153   27,283,694 
2018 32,725,780   28,420,408 
2019 33,272,323   29,493,992 
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Notes: Population growth refers to growth of the working-age population ages 16 and older. The composition of each region follows the census definitions.

Population growth refers to growth of the working-age population ages 16 and older. The composition of each region follows the census definitions. The South includes Alabama, Arkansas, Delaware, the District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia. The Midwest includes Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. The Northeast includes Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont. The West includes Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

Sources: Population growth based on EPI analysis of population data from the state-level “Employment status of the civilian noninstitutional population, annual averages” from the Bureau of Labor Statistics. Data on job growth based on analysis of Regional Economic Information System data from the Bureau of Economic Analysis, U.S. Department of Commerce.

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Figure H shows that this regional pattern is not being driven by just a few large states such as Florida and Texas, which experienced large increases in their populations. In most states in the region, whether the population was growing or declining, job growth lagged population growth. Mississippi is one example of a state that has had its overall population as well as its working-age population decline over the past few years but still has been unable to generate enough jobs to match the size of the working-age population (St. Louis Federal Reserve 2023).3

Figure H

States across the South struggle with job growth that consistently lags population growth: Job growth relative to population growth for select Southern states, 1977–2019

Mississippi

Year Population growth Job growth
1977 33,416  31,926 
1978 64,833  61,723 
1979 91,166  75,548 
1980 113,833  72,486 
1981 137,416  67,769 
1982 156,916  40,391 
1983 168,583  48,754 
1984 183,250  78,213 
1985 207,416  85,103 
1986 211,416  91,926 
1987 220,000  102,516 
1988 228,500  130,210 
1989 236,416  150,064 
1990 237,079  163,776 
1991 257,968  172,121 
1992 271,774  194,874 
1993 293,580  248,092 
1994 318,636  295,873 
1995 345,025  326,610 
1996 368,248  350,410 
1997 389,721  376,503 
1998 410,527  406,602 
1999 427,500  430,880 
2000 439,214  437,468 
2001 447,023  417,165 
2002 454,787  415,947 
2003 463,475  414,077 
2004 478,072  424,817 
2005 486,157  434,889 
2006 491,479  469,487 
2007 514,481  499,975 
2008 529,739  498,604 
2009 542,529  453,463 
2010 570,965  451,904 
2011 587,961  471,114 
2012 596,844  480,892 
2013 606,956  493,756 
2014 615,322  517,926 
2015 621,786  529,391 
2016 628,009  541,046 
2017 627,177  551,134 
2018 623,146  562,901 
2019 622,978  578,603 
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South Carolina

Year Population growth Job growth
1977 53,833   34,763 
1978 110,250   89,901 
1979 162,000   130,560 
1980 213,833   147,048 
1981 259,166   159,803 
1982 299,916   137,414 
1983 333,666   171,055 
1984 371,083   248,551 
1985 419,083   278,670 
1986 447,916   320,745 
1987 487,916   361,681 
1988 525,583   432,572 
1989 558,583   481,867 
1990 604,426   536,306 
1991 656,342   509,729 
1992 692,328   521,024 
1993 732,063   555,018 
1994 767,632   602,542 
1995 806,535   661,612 
1996 843,687   703,908 
1997 890,422   764,346 
1998 938,408   814,999 
1999 982,143   864,249 
2000 1,019,950   903,378 
2001 1,056,774   880,130 
2002 1,091,322   871,600 
2003 1,126,498   887,330 
2004 1,171,228   929,223 
2005 1,226,632   979,850 
2006 1,298,020   1,042,185 
2007 1,367,131   1,105,884 
2008 1,432,557   1,095,982 
2009 1,483,031   991,445 
2010 1,557,202   981,186 
2011 1,604,631   1,050,968 
2012 1,648,098   1,076,841 
2013 1,696,864   1,124,351 
2014 1,751,585   1,188,007 
2015 1,814,992   1,260,297 
2016 1,880,588   1,323,594 
2017 1,890,228   1,383,725 
2018 1,941,031   1,469,947 
2019 1,995,184   1,525,095 
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Georgia

Year Population growth Job growth
1977 88,583   103,190 
1978 174,417   221,326 
1979 270,917   300,579 
1980 362,583   341,184 
1981 452,333   376,504 
1982 526,917   393,511 
1983 592,083   477,293 
1984 683,333   668,082 
1985 801,833   807,258 
1986 892,167   935,327 
1987 995,417   1,033,364 
1988 1,077,083   1,145,260 
1989 1,142,083   1,208,702 
1990 1,315,395   1,264,486 
1991 1,418,868   1,222,533 
1992 1,527,748   1,298,544 
1993 1,643,712   1,466,661 
1994 1,774,259   1,620,419 
1995 1,902,223   1,788,538 
1996 2,034,020   1,933,865 
1997 2,169,567   2,049,199 
1998 2,295,115   2,208,457 
1999 2,416,995   2,329,248 
2000 2,536,659   2,461,308 
2001 2,668,816   2,472,312 
2002 2,792,966   2,458,786 
2003 2,908,028   2,495,745 
2004 3,031,948   2,622,188 
2005 3,190,050   2,796,331 
2006 3,357,049   2,958,536 
2007 3,514,919   3,091,186 
2008 3,639,659   3,051,385 
2009 3,742,839   2,847,520 
2010 3,764,605   2,811,850 
2011 3,823,287   2,926,114 
2012 3,918,893   2,985,070 
2013 4,001,652   3,097,281 
2014 4,095,112   3,271,233 
2015 4,204,361   3,433,083 
2016 4,327,343   3,572,465 
2017 4,437,794   3,725,056 
2018 4,539,511   3,885,105 
2019 4,646,061   4,019,250 
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Florida

Year Population growth Job growth
1977 211,167   199,132 
1978 461,583   509,157 
1979 770,417   724,404 
1980 1,100,583   957,678 
1981 1,396,583   1,135,531 
1982 1,647,667   1,223,723 
1983 1,889,083   1,437,100 
1984 2,145,750   1,771,815 
1985 2,401,917   2,042,100 
1986 2,656,917   2,285,383 
1987 2,917,000   2,363,780 
1988 3,151,583   2,660,441 
1989 3,381,833   2,866,444 
1990 3,752,029   3,010,446 
1991 3,976,655   2,987,738 
1992 4,180,834   3,032,972 
1993 4,377,513   3,272,608 
1994 4,598,359   3,504,494 
1995 4,826,039   3,764,327 
1996 5,065,135   4,009,886 
1997 5,312,564   4,275,293 
1998 5,547,827   4,587,358 
1999 5,772,589   4,848,041 
2000 5,980,280   5,151,436 
2001 6,221,444   5,209,104 
2002 6,485,202   5,325,872 
2003 6,738,147   5,553,554 
2004 7,049,863   5,914,483 
2005 7,385,684   6,337,346 
2006 7,654,723   6,654,023 
2007 7,830,230   6,801,417 
2008 7,968,369   6,539,656 
2009 8,080,442   6,112,040 
2010 8,431,260   6,075,311 
2011 8,700,663   6,306,791 
2012 8,929,001   6,519,181 
2013 9,163,642   6,809,412 
2014 9,438,214   7,207,323 
2015 9,757,345   7,637,317 
2016 10,107,129   7,943,639 
2017 10,309,377   8,355,479 
2018 10,552,122   8,817,742 
2019 10,764,996   9,127,205 
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Note: Population growth refers to growth of the working-age population aged 16 and older.  

Source: Population growth based on EPI analysis of population data from the state-level “Employment status of the civilian noninstitutional population, annual averages” from the Bureau of Labor Statistics. Job growth based on analysis of Regional Economic Information System employment data from the Bureau of Economic Analysis, U.S. Department of Commerce.

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Labor force participation

The fact that job growth lags growth in the working-age population across the South indicates that labor force participation across the South may also lag other regions. The labor force participation rate is a key indicator used to convey the health of the labor market, as it shows the share of the population ages 16 and older that is either employed or unemployed but actively looking for work.

Figure I shows trends in the labor force participation rate for workers 16 and older from 1979 through 2022 for each region of the country. The South had the second lowest labor force participation rate of any region from 1979 until the 2007–2009 Great Recession. Since the Great Recession, the South has had the lowest labor force participation rate of all regions. The Midwest has had the highest labor force participation rates since the 1990s, followed by Western states.4

Figure I

Labor force participation in the South is the lowest of any region: Labor force participation rates by region, 1979–2022

South Midwest Northeast West
1979 62.7% 65.5% 62.2% 65.7%
1980 62.8% 65.4% 62.2% 65.6%
1981 63.2% 65.4% 62.2% 65.8%
1982 63.3% 65.3% 62.1% 66.3%
1983 63.6% 65.3% 62.1% 66.3%
1984 64.2% 65.4% 62.6% 66.2%
1985 64.4% 65.9% 63.1% 66.3%
1986 64.8% 66.2% 63.6% 66.9%
1987 65.2% 66.6% 63.9% 67.1%
1988 65.4% 67.1% 64.2% 67.3%
1989 65.6% 67.9% 65.0% 67.8%
1990 65.7% 67.8% 65.3% 67.6%
1991 65.5% 67.6% 65.0% 66.9%
1992 65.8% 68.3% 64.9% 67.2%
1993 65.6% 68.5% 64.6% 66.8%
1994 66.1% 69.1% 64.2% 67.3%
1995 66.0% 69.5% 64.1% 67.2%
1996 66.0% 69.7% 64.7% 67.2%
1997 66.1% 69.8% 65.7% 67.6%
1998 66.0% 69.6% 65.3% 67.8%
1999 65.9% 69.7% 65.4% 67.6%
2000 65.9% 69.7% 65.2% 67.9%
2001 65.6% 69.6% 65.0% 67.6%
2002 65.2% 68.8% 65.6% 67.4%
2003 65.1% 68.7% 64.9% 66.8%
2004 64.7% 68.4% 64.9% 66.6%
2005 65.0% 68.2% 65.0% 66.5%
2006 65.2% 68.4% 65.2% 66.4%
2007 64.9% 68.2% 65.0% 66.6%
2008 64.7% 67.9% 65.4% 66.7%
2009 63.9% 67.3% 65.2% 66.0%
2010 63.4% 66.5% 64.5% 65.2%
2011 63.1% 65.9% 63.9% 64.2%
2012 62.8% 65.3% 63.9% 63.5%
2013 62.1% 65.2% 63.5% 63.1%
2014 61.7% 65.1% 62.9% 62.8%
2015 61.2% 65.0% 63.1% 62.6%
2016 61.2% 65.4% 63.0% 62.8%
2017 61.5% 65.0% 63.0% 63.0%
2018 61.6% 64.9% 63.0% 63.0%
2019 61.8% 65.2% 63.3% 63.2%
2020 60.3% 63.9% 62.1% 61.9%
2021 60.4% 63.4% 61.6% 62.2%
2022 61.0% 63.9% 62.3% 62.8%
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Source: Economic Policy Institute analysis of Current Population Survey microdata from the U.S. Census Bureau.

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Notably, Figure J shows that this lower labor force participation rate across the South is driven by white Southerners who make up the largest share of the population (U.S. Census Bureau 2023). The labor force participation rate for white Southerners is below 60%, lower than for white workers in any other region. It is also in contrast to the labor force participation rates of other racial and ethnic groups in the region. Black Southerners have a labor force participation rate of 62%, higher than Black Americans in any other region except those living in Western states, where it stands at 63.3%. Hispanic Southerners have a labor force participation rate of 66% and their labor force participation rate is only higher in the Midwest, where it is 70.8%. Asian Southerners have a labor force participation rate of 65.7%, the second highest of all groups.

Figure J

Across regional racial and ethnic groups, white Southerners have the lowest labor force participation rate of all groups: Labor force participation rates by region, race, and ethnicity

White Black Hispanic Asian
South 59.2% 62.0% 66.0% 65.7%
Northeast 62.5% 61.3% 64.2% 63.7%
West 61.2% 63.3% 65.7% 62.5%
Midwest 64.4% 60.7% 70.8% 66.5%
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Note: Hispanic workers may be of any race.

Source:  EPI analysis of 2017–2021 Current Population Survey data

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The labor force participation rate provides a good overview of the health of the region’s economy but is also limited in the amount of information it provides when considered in isolation. It cannot tell us, for example, what shares of people are unemployed or actually have a job. In the next two sections, we examine unemployment, and employment as a share of the prime-age population. While these measures provide limited information in isolation, together, they offer a better understanding of how well the economic development model in place across the South is utilizing labor.

Unemployment

We begin with the unemployment rate, which is one of the most frequently referenced statistics to describe labor market conditions. Generally, an unemployment rate lower than 5% is considered a sign of a relatively healthy labor market (Wolla n.d.). However, changes in the unemployment rate can occur for a variety of reasons—some good and some bad—so it is important to understand what this indicator actually measures.

Individuals are counted as unemployed if they do not have a job but are actively looking for and are available for work (BLS 2015). When workers become discouraged and stop looking for work, they are no longer considered unemployed and are no longer counted as part of the labor force. This can cause the unemployment rate to fall even though large segments of the population who would like to work still do not have a job. It is also the case that when discouraged workers believe the economy is tightening or improving, they often reenter the labor market to actively look for work. This can cause the unemployment rate to increase as the labor force grows, even though the economy is recovering.

Figure K shows the unemployment rate by region for 2019, 2020, and 2021. Except for the Midwest in 2021, the South consistently has the lowest rates of unemployment, both before and after the pandemic. In 2019, unemployment rates were well below 5% for all regions. Data for 2020 and 2021 are provided to show how regions were impacted by the pandemic. While unemployment rates increased in all regions, they remained lower in the South than in other regions of the country with the exception of the Midwest in 2021.

The lower unemployment rate for the South might be seen as an indicator of the success of the Southern economic development model, but this is unlikely given the lower labor force participation rates above. Their lower unemployment rate, rather, masks a lot of discouraged job seekers and economic hardship as the data in Figure K will show. While unemployment rates fell further by 2021, they remained much higher than their pre-pandemic levels across regions.

Figure K

Unemployment rates are consistently lower across the South than in other regions, even during the pandemic: Unemployment rates by region, 2019–2021

2019 2020 2021
Northeast 3.7% 9.2% 6.4%
West 3.9% 9.1% 6.2%
Midwest 3.6% 7.5% 4.6%
South 3.5% 7.2% 4.8%
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While pre-pandemic unemployment rates were low nationally and across the South, it is important to note that they were not equally low for all groups of workers. In fact, whether unemployment rates are high or low, Black workers have historically had unemployment rates twice that of their white counterparts nationally and across every region of the country, including the South (Williams and Wilson 2019).

Figure L shows the unemployment rate for workers across the South by race and ethnicity for the largest racial and ethnic groups in the region. Consistent with national data, Black workers across the South have unemployment rates at least twice that of their white counterparts across the last four decades. While Hispanic workers have lower unemployment rates than Black workers, their rates are also consistently higher than that of their white counterparts.

Figure L

Black workers across the South consistently have unemployment rates twice that of their white counterparts: Unemployment rates across the South by race and ethnicity, 1979–2022

White Black  Hispanic
1979 4.2% 11.0% 7.1%
1980 5.2% 12.7% 8.4%
1981 5.5% 14.1% 8.0%
1982 7.1% 17.2% 11.0%
1983 7.1% 18.2% 11.8%
1984 5.4% 14.7% 8.9%
1985 5.4% 14.1% 9.1%
1986 5.8% 13.9% 10.3%
1987 5.2% 12.7% 9.3%
1988 4.6% 11.5% 9.4%
1989 4.2% 10.7% 8.8%
1990 4.2% 11.0% 8.2%
1991 5.4% 11.6% 8.6%
1992 5.5% 13.1% 9.6%
1993 4.9% 12.1% 8.7%
1994 4.4% 10.6% 8.3%
1995 4.1% 9.6% 8.6%
1996 3.8% 9.9% 7.5%
1997 3.5% 9.4% 7.0%
1998 3.1% 8.4% 6.0%
1999 3.0% 7.5% 5.6%
2000 2.9% 7.2% 4.8%
2001 3.5% 8.5% 5.7%
2002 4.3% 9.6% 6.8%
2003 4.3% 9.9% 7.1%
2004 4.0% 9.6% 5.8%
2005 3.7% 9.5% 5.1%
2006 3.5% 8.4% 4.1%
2007 3.4% 7.5% 4.6%
2008 4.4% 9.1% 6.1%
2009 7.4% 13.9% 10.0%
2010 7.5% 15.2% 10.4%
2011 6.9% 15.2% 9.4%
2012 6.1% 13.0% 8.1%
2013 5.5% 12.2% 7.3%
2014 4.7% 10.5% 5.9%
2015 4.1% 9.1% 5.4%
2016 3.9% 8.1% 4.7%
2017 3.4% 7.2% 4.4%
2018 2.9% 6.3% 4.1%
2019 2.8% 5.8% 3.7%
2020 5.6% 10.2% 8.8%
2021 3.6% 7.4% 5.8%
2022 2.7% 5.3% 3.6%
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Black workers in particular have higher rates of unemployment overall and higher rates when compared with white workers of the same age and with the same levels of education (Ajilore 2020; Williams and Wilson 2019; Wilson and Darity Jr. 2022). This reflects the discrimination that Black workers face when looking for jobs. Black men without a criminal record, for example, are less likely to receive a call back from employers than White workers with a criminal record (Pager 2003).

Black workers in the U.S. and across the South also face much higher rates of criminalization and incarceration which further disadvantages them in the labor market (Childers 2024; Mast forthcoming). In 2021, the U.S. imprisoned 664 per 100,000 people. This is much higher than our peer nations including the United Kingdom (129) and Canada (104).

Despite the U.S. having an exceedingly high incarceration rate internationally, 13 of the 17 Southern states have incarceration rates that are even higher, with the highest rates in Louisiana (1094), Mississippi (1031), and Oklahoma (993). Black Americans are disproportionately represented among these prison populations, with Black Americans being just over 32% of the population in Louisiana but accounting for 66% of the state’s incarcerated population in prisons (PPI 2021a). In Mississippi, Black Americans are 37% of the population, but 61% of the prison population (PPI 2021b). And in Oklahoma, Black Americans are just over 7% of the population, but they are 27% of the incarcerated population (PPI 2021c).

Prime-age (25–54) employment-to-population ratio (EPOP) 

Finally, the prime-age employment-to-population ratio (EPOP) is arguably the best individual measure of the health of the labor market. The prime-age EPOP refers to the share of the population ages 25–54 that is currently employed. One strength of this measure is that the EPOP does not fluctuate based on the movement of workers into or out of the labor market—be it due to dissatisfaction with job prospects or more innocuous movements typical at different life stages. For instance, by focusing on just workers ages 25 through 54, this measure is unaffected by young people finishing their education and older workers moving into retirement. This is particularly important for states like Florida, with large retiree populations. Figure M shows the EPOP for each region of the country. Consistent with the data on labor force participation, the South lags much of the country in the share of the prime-age population that is employed.

Differences across regions were negligible in the late 1970s and early 1980s, but in the late 1980s, the regions began to show a significant divergence. The South and West fell behind the Northeast and Midwest in the early 2000s. The South continues to have one of the lowest EPOPs of all regions since the early 2000s.

Figure M

The South trails much of the nation in the share of its available workforce with a job: Prime-age employment-to-population ratio (EPOP) by region, 1979–2022

South West Northeast Midwest
1979 74.8% 75.4% 73.0% 75.4%
1980 74.7% 75.3% 73.1% 74.1%
1981 75.1% 75.3% 73.7% 74.7%
1982 73.8% 74.3% 73.1% 73.1%
1983 74.0% 74.3% 73.3% 73.5%
1984 76.3% 76.1% 75.3% 75.7%
1985 77.1% 76.9% 76.3% 76.5%
1986 76.9% 77.4% 77.6% 77.7%
1987 78.0% 78.2% 78.8% 78.8%
1988 78.7% 79.2% 79.2% 79.9%
1989 79.4% 79.8% 79.7% 80.9%
1990 79.4% 79.1% 79.3% 80.9%
1991 78.6% 77.8% 77.7% 80.3%
1992 78.3% 77.0% 76.9% 80.7%
1993 78.6% 76.9% 77.5% 81.0%
1994 79.2% 77.9% 77.6% 82.0%
1995 79.6% 78.2% 78.2% 82.9%
1996 79.9% 78.4% 79.3% 83.2%
1997 80.3% 79.3% 80.1% 83.9%
1998 80.6% 79.5% 80.5% 83.9%
1999 81.0% 79.7% 80.9% 84.3%
2000 81.1% 80.1% 80.9% 83.8%
2001 79.9% 79.4% 80.2% 82.9%
2002 78.5% 78.1% 79.5% 81.6%
2003 78.2% 77.6% 78.8% 81.0%
2004 78.3% 78.1% 79.2% 80.8%
2005 78.9% 78.4% 79.4% 81.1%
2006 79.1% 79.3% 79.8% 81.6%
2007 79.3% 79.5% 79.9% 81.4%
2008 78.3% 78.4% 79.8% 80.5%
2009 75.1% 74.8% 77.0% 77.0%
2010 74.5% 73.6% 76.4% 76.7%
2011 74.6% 73.5% 76.0% 77.1%
2012 75.3% 74.1% 76.1% 77.9%
2013 75.1% 74.8% 76.4% 78.0%
2014 75.8% 75.4% 76.9% 79.5%
2015 76.0% 76.0% 78.0% 80.3%
2016 76.8% 76.9% 78.5% 80.8%
2017 77.6% 77.8% 79.3% 80.9%
2018 78.3% 78.5% 80.3% 81.6%
2019 79.0% 79.3% 80.7% 82.0%
2020 75.2% 74.0% 75.6% 78.4%
2021 77.0% 76.4% 77.7% 80.0%
2022 78.9% 79.2% 80.6% 81.9%
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As with other indicators, there are substantial differences across Southern states in the share of the prime-age population that has a job. Nationally, 78.2% of residents aged 25 through 54 are employed. This percentage is pulled down by the much lower rates across many Southern states. Of the 10 states with the highest prime-age employment-to-population ratios, none are in the South. Among states with an EPOP of 80% or higher, only 4 of 21 are in the South: D.C., Delaware, Maryland, and Virginia (data not shown in Figure M).

Figure N shows the 10 states with the smallest shares of their prime-age population employed. Seven of these states are in the South, and all have lower employment rates than the national rate. In West Virginia, Mississippi, Alabama, and Louisiana, along with the Western state of New Mexico, more than one in every four prime-age residents are without a job. This means that the economy created with the Southern economic development model has left many Southerners out of the labor market either because they can’t find a job or because they face barriers to pursuing employment.

Figure N

Seven of the 10 states with the lowest prime-age EPOP are in the South: Prime-age EPOP by state and for the U.S.

State EPOP
United States  78.2%
Oklahoma 75.9%
California 75.6%
Kentucky 75.3%
Alaska 75.3%
Arkansas  75.2%
Louisiana 74.6%
Alabama 74.4%
New Mexico 73.0%
Mississippi 73.0%
West Virginia  72.7%
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Source: EPI analysis of 2017–2021 Current Population Survey from the U.S. Census Bureau.   

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Beyond the lower overall EPOP across the South, the large and intersecting racial and gender disparities in employment are indicative of both inequities across the region and policy failures in the Southern economy. Figure O shows that across racial and ethnic groups, prime-age men are much more likely to be employed than are women. The smallest gender gap is between Black men and women as prime-age Black men are employed at a rate 3.4 percentage points higher than Black women. White men are 12.9 percentage points and Asian men are 19.7 percentage points more likely to be employed than their same-race female counterparts. The largest gap, however, is among Hispanic workers, with Hispanic men 24.3 percentage points more likely to be employed than Hispanic women.

Figure O

Men are more likely than women to be employed across racial and ethnic groups and among women, Black women most likely to be employed: Prime-age EPOP ratios for workers across the South by sex, race, and ethnicity

Prime-age EPOP for men Prime-age EPOP for women
White 85.7% 72.8%
Black 76.7% 73.3%
Hispanic 87.6% 63.3%
Asian 88.2% 68.5%
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Note: Data are for prime-age population aged 25–54

Source: EPI analysis of 2017–2021 Current Population Survey from the U.S. Census Bureau.   

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Figure O also shows that among men, only Black men have an EPOP below 80%. Asian and Hispanic men have the highest EPOP among men, followed by white men. Among women, however, Black women have the highest EPOP followed by white women. Hispanic and Asian women have the lowest EPOPs.

The smaller gap between Black men and women reflects, at least in part, the fact that historically Black women have been more likely than women of other racial and ethnic groups to be in the labor force because they often had few alternatives (see Frye 2016). Since slavery, Black women have been viewed as workers rather than mothers or wives (Frye 2016). Fewer employment opportunities for Black men also meant that Black women’s labor was even more important to the economic well-being of Black households. This continues today as Black women are more likely than women from other racial and ethnic groups to have their earnings be essential to household income, since they are more likely to be either breadwinners or co-breadwinners providing a substantial source of total household income (Banks 2019; Frye 2016; Glynn 2019).

Conclusion

In this report we have shown that Southern states are overrepresented among states with the lowest per capita GDP; that job growth across the South has failed to keep up with growth in the working-age population; and that the South lags in labor force participation and prime-age EPOP. The apparent lower levels of unemployment across the region are misleading, because the low labor force participation rate and the prime-age employment-to-population ratio show that smaller shares of the available workforce are employed in the South relative to other regions. Together, they indicate that many Southerners have become discouraged either because they have been unable to find a job, or because they face serious obstacles to paid employment—such as the need to care for a child or family member that prevents them from seeking employment, or an illness or a disability that prevents them from working.

The relationship between race, ethnicity, gender, employment, and unemployment are no doubt complex. But the fact that, on indicator after indicator, specific states and regions consistently underperform points to systemic factors shaping these outcomes across states, race, ethnicity, and gender. The Southern economic development model is a key factor shaping the results we see.

For example, Figure O showed that Black women have higher employment-to-population ratios across the South than women from other racial and ethnic groups. There are several reasons for this, including the greater need for their incomes as breadwinners and co-breadwinners relative to women of other racial and ethnic backgrounds. The fact that Black women’s earnings are so central to their households means it is critical that they have access to resources like affordable childcare and eldercare to enable them to participate in the labor market. This is not limited to Black women, however, as families across the South—and the nation—need access to these resources to fully participate in the labor market.

Access to affordable, reliable transportation is also critical to the ability of Southerners to participate in the labor market. Research shows that cities and metro areas across the South tend to provide less access to public transportation than cities in the Northeast and West. For example, McCann (2019) ranked 100 cities’ public transit systems on criteria including accessibility, convenience, safety, and reliability. The resulting ranking showed that the District of Columbia was the only Southern jurisdiction among the 10 highest ranking cities, but eight of the 10 lowest ranking cities were Southern cities.5

The lack of access to public transportation is made worse by other policies that further reduce workers’ geographic mobility. For instance, when states suspend workers’ driver’s licenses when they have unpaid fees and fines (Khalfani 2021). Khalfani (2021) reports that, of the 430,000 Georgians who were on the probation rolls in 2018, almost four in 10 were on probation for misdemeanors related to the inability to pay traffic fines, including minor traffic or parking violations. In many jurisdictions, driver’s licenses are revoked or suspended for the inability to pay for these tickets or court costs, or for a failure to attend a court hearing, which sometimes occurs simply because the relevant individuals are incarcerated. These court costs are a key way that some county and local jurisdictions fund their criminal legal systems, increasing the incentive to abuse them and further depriving Southerners of access to the very transportation they need to participate in the labor market.

In addition to lacking access to workforce supports, Black and brown men and women are more likely to face discrimination in hiring and job assignment. Research shows that simply having a name that “sounds Black” results in a lower likelihood of getting a job interview (Bertrand and Mullainathan 2003). And, as noted above, Pager (2003) showed that Black men who did not have a criminal record were less likely than white men who did have a criminal record to be called for a job interview. Discrimination is particularly salient when trying to understand why Black men have the lowest employment-to-population ratio among men in the principal racial and ethnic groups across the South.

The Southern economic development model has not produced the good jobs or prosperity it promised. Instead, workers across the South face lower rates of labor force participation and employment, with substantial racial and gender disparities in employment rates. States across the South have lower per capita GDPs, and job growth across the region has failed to keep up with population growth. Further, the inability to provide jobs for the working-age population may exacerbate the exodus of people from states like Louisiana and Mississippi that are already losing population.

Notes

1. For a more detailed description of the Southern economic development model, see Childers 2023 and Childers 2024, which provide a more in-depth description of the model, along with a description of its historical development.

2. This is the per capita GDP in 2019 and 2022, both in 2022 dollars.

3. While population growth exceeded job growth in most Southern states, two states with highly variable population growth over the past 40 years—Louisiana and West Virginia—had greater job growth than population growth over the most recent time periods. The District of Columbia also had greater job growth than population growth. Job growth and population growth occurred at similar rates in Maryland, Kentucky, and Oklahoma.

4. Midwestern states include Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin. Western states include Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

5. Southern cities with the lowest ranking on public transit are Baton Rouge, LA, Arlington, TX, Oklahoma City, OK, Tulsa, OK, New Orleans, LA, Charlotte, NC, Tampa, FL, and St. Petersburg, FL.

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