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Unemployment - Women in South Carolina
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South Carolina Value:

3.0%

Percentage of the female civilian workforce that is unemployed

South Carolina Rank:

16

Unemployment - Women in depth:

Additional Measures:

Unemployment - Women by State

Percentage of the female civilian workforce that is unemployed

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Data from U.S. Department of Labor, Bureau of Labor Statistics, 2022

<= 2.7%

2.8% - 3.0%

3.1% - 3.6%

3.7% - 4.1%

>= 4.2%

• Data Unavailable
Top StatesRankValue
Bottom StatesRankValue
484.3%
494.6%
505.4%

Unemployment - Women

32.0%
52.3%
72.4%
82.5%
92.6%
102.7%
102.7%
122.8%
122.8%
142.9%
163.0%
163.0%
163.0%
163.0%
223.3%
253.5%
273.6%
273.6%
273.6%
323.7%
323.7%
343.8%
343.8%
363.9%
363.9%
404.1%
404.1%
434.2%
434.2%
434.2%
434.2%
484.3%
494.6%
505.4%
Data Unavailable
Source:
  • U.S. Department of Labor, Bureau of Labor Statistics, 2022

Unemployment - Women Trends

Percentage of the female civilian workforce that is unemployed

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About Unemployment - Women

US Value: 3.6%

Top State(s): South Dakota: 1.6%

Bottom State(s): Nevada: 5.4%

Definition: Percentage of the female civilian workforce that is unemployed

Data Source and Years(s): U.S. Department of Labor, Bureau of Labor Statistics, 2022

Suggested Citation: America's Health Rankings analysis of U.S. Department of Labor, Bureau of Labor Statistics, United Health Foundation, AmericasHealthRankings.org, accessed 2024.

Unemployment has both direct and indirect impacts on health. A stable, safe and well-paying job makes it easier for people to live in healthier neighborhoods, access health insurance benefits, and afford quality child care, education and nutritious food — all critical factors to maintaining good health that are jeopardized by unemployment. Unemployment can also mean losing access to health insurance — more than half of health insurance coverage in the United States is employment-based.

There is a strong relationship between employment status and mental health. Unemployment may lead to lower self-esteem, higher levels of depression and strained family ties. The effects of job loss are not limited to the individual, as studies have shown a profound effect on impacted families and children. Unemployment is associated with a higher risk of all-cause mortality for those in their early and middle careers

High unemployment rates can put a strain on state economies due to decreased revenue from income taxes and increased demand for unemployment insurance and social welfare programs.

According to the U.S. Department of Labor, the prevalence of unemployment is higher among:

  • Younger women ages 16-19 compared with women age 20 and older.
  • Hispanic and Black women compared with Asian and white women.
  • Women with less than a high school diploma. Unemployment rates decrease as educational attainment increases.

Different strategies exist to reduce the unemployment rate, especially for women. Women are disproportionately burdened with caretaking responsibilities for children and other family members, and the lack of affordable child care or supportive policies, such as paid family and medical leave, can make it difficult to maintain full-time or stable work. Decreasing the unemployment rate and increasing the number of working women requires serious investments in supportive care infrastructure, labor protections and equitable wages and benefits. 

The Department of Labor’s Good Jobs Initiative offers guidance on establishing equitable access to quality employment opportunities for the workforce, free of discrimination.

Healthy People 2030 tracks different measures of economic stability, and has an objective to increase employment among the working-age population ages 16-64.

Boesch, Diana, and Shilpa Phadke. “When Women Lose All the Jobs: Essential Actions for a Gender-Equitable Recovery.” Center for American Progress, February 1, 2021. https://www.americanprogress.org/article/women-lose-jobs-essential-actions-gender-equitable-recovery/.

Brand, Jennie E. “The Far-Reaching Impact of Job Loss and Unemployment.” Annual Review of Sociology 41, no. 1 (August 14, 2015): 359–75. https://doi.org/10.1146/annurev-soc-071913-043237.

Dooley, David. “Unemployment, Underemployment, and Mental Health: Conceptualizing Employment Status as a Continuum.” American Journal of Community Psychology 32, no. 1–2 (2003): 9–20. https://doi.org/10.1023/A:1025634504740.

Dooley, David, Jonathan Fielding, and Lennart Levi. “Health and Unemployment.” Annual Review of Public Health 17, no. 1 (January 1996): 449–65. https://doi.org/10.1146/annurev.pu.17.050196.002313.

“How Does Employment—or Unemployment—Affect Health?” Issue Brief. Health Policy Snapshot: Public Health and Prevention. Robert Wood Johnson Foundation, March 12, 2013. https://www.rwjf.org/en/library/research/2012/12/how-does-employment--or-unemployment--affect-health-.html.

Keisler-Starkey, Katherine, and Lisa N. Bunch. “Health Insurance Coverage in the United States: 2021.” Current Population Reports. U.S. Government Publishing Office, Washington, DC: U.S. Census Bureau, September 2022. https://www.census.gov/content/dam/Census/library/publications/2022/demo/p60-278.pdf.

Krug, Gerhard, Stefan Brandt, Markus Gamper, André Knabe, and Andreas Klärner. “Unemployment, Social Networks, and Health Inequalities.” In Social Networks and Health Inequalities, edited by Andreas Klärner, Markus Gamper, Sylvia Keim-Klärner, Irene Moor, Holger Von Der Lippe, and Nico Vonneilich, 215–29. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-97722-1_12.

Nikolova, Milena, and Boris N. Nikolaev. “Family Matters: The Effects of Parental Unemployment in Early Childhood and Adolescence on Subjective Well-Being Later in Life.” Journal of Economic Behavior & Organization 181 (May 26, 2018): 312–31. https://doi.org/10.1016/j.jebo.2018.05.005.

Roelfs, David J., Eran Shor, Karina W. Davidson, and Joseph E. Schwartz. “Losing Life and Livelihood: A Systematic Review and Meta-Analysis of Unemployment and All-Cause Mortality.” Social Science & Medicine 72, no. 6 (March 2011): 840–54. https://doi.org/10.1016/j.socscimed.2011.01.005.

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