Percent of North Carolina 25-44 year-olds in the labor force.
More than eight in every ten—83%—of North Carolina adults ages 25-44 were in the labor force in 2018, the 33rd highest rate among the states. In Virginia, the southern state with the highest rate, this proportion was 85%. Nationally, the District of Columbia had the highest labor force participation rate overall (90%).
MyFutureNC is working with NC Commerce and the NC Works Commission to establish a 2030 goal for this indicator.
Labor force participation rates reflect a combination of factors, including the availability of jobs, an individual’s ability and willingness to work, as well as labor market alignment or barriers between individual skills and available jobs. It is an important measure of the labor market as it “represents the relative amount of labor resources available for the production of goods and services.”
Individuals are in the labor force if they are either employed or unemployed and actively looking for work. Labor force participation rates differ across groups, and there are various factors that relate to participation in the labor force, such as:
Labor force participation rates are historically lower for:
The share of North Carolina adults ages 25-44 participating in the labor force has held steady since 2006 when it was 83%. Over the past eleven years, the labor force participation ranged from a high of 84% in 2008 to a low of 82% in 2015. This rate has held at 83% since 2017.
Urban North Carolina counties had the highest labor force participation rates in 2018 (86%), followed by suburban counties (83%). Labor force participation rates were lower in rural counties: non-metropolitan rural counties had the lowest labor force participation rates (78%) while rates were higher in metropolitan rural counties (80%).
Men are more likely to be in the labor force than women. Nearly nine in every ten North Carolina men ages 25-44 are in the labor force compared to nearly eight in every ten women (88% vs. 78%).
Labor force participation rates were highest among white residents (84%), followed closely by black (83%), multiracial (82%), and Hispanic (81%) residents. Fewer Asian residents were in the labor force (78%). Labor force participation rates were lowest among American Indian (73%) residents.
On average, men are more likely to be in the labor force than women. These differences are most pronounced among Hispanic and Asian adults: in both groups, men are roughly 50% more likely to be in the labor force than women. But this pattern does not hold for all racial/ethnic groups. Black women and American Indian women, for example, are more likely to be in the labor force than black men and American Indian men, respectively.
Hispanic men and Asian men have the highest labor force participation rates—94%—followed by white men (90%). Black women have the next highest labor force participation rates (84%) followed by black men (81%).
Data on labor force participation are from the U.S. Census Bureau’s American Community Survey (ACS). This annual survey of demographic, economic, and social characteristics has been collected for all households and group quarters populations since 2006. The Public Use Microdata Series (PUMS) contains anonymized person-level observations that enable custom tabulations of the data for the state and some counties. Data for all counties is available in the 5-Year ACS in Table B23001: Sex by Age by Employment Status for the Population 16 Years and Over.
Carolina Demography calculated the labor force participation rate using ACS PUMS data retrieved from IPUMS-USA. Individuals were identified as being in the labor force if they reported being employed or unemployed.
The labor force participation rate was calculated by dividing the estimated number of adults ages 25-44 who are in the labor force by the total number of adults ages 25-44.
All residents of North Carolina ages 25-44. Unpaid family workers are classified as in the labor force.
Individuals who are not seeking work for any reason—whether because they are in school, retired, taking care of family members, or because of a disability—are classified as “not in labor force.” Individuals who are currently incarcerated are “not in the labor force.”
Certain types of group quarters facilities are not sampled in the ACS due to difficulties associated with data collection, such as domestic violence shelters, soup kitchens, and living quarters for victims of natural disasters. Full details on the ACS sample and methodology are available here.
The data used in the development of this indicator is derived from a survey and is subject to sampling and non-sampling error.
If you know of an organization that is working on this topic in NC, please let us know on the feedback form.
Berger-Gross, A. (2016, November 3). NC Commerce: Why Are Fewer North Carolinians Participating in the Labor Force? The LEAD Feed. Retrieved December 18, 2019, from https://www.nccommerce.com/blog/2016/11/03/why-are-fewer-north-carolinians-participating-labor-force
Congressional Budget Office. (2018). Factors Affecting the Labor Force Participation of People Ages 25 to 54. Washington, DC: Congressional Budget Office.
Dotsey, M., Fujita, S., & Rudanko, L. (2017). Where Is Everybody? The Shrinking Labor Force Participation Rate. Philadelphia, PA: Federal Reserve Bank of Philadelphia Research Department.
Hipple, Steven F, “Labor force participation: what has happened since the peak?,” Monthly Labor Review, U.S. Bureau of Labor Statistics, September 2016, https://doi.org/10.21916/mlr.2016.43.
Rios-Avila, F. (2015). Losing Ground: Demographic Trends in US Labor Force Participation. Hudson, NY: Levy Economics Institute of Bard College.
No. The “official” measure of labor force participation is based on the Current Population Survey (CPS), not the American Community Survey (ACS). The ACS and CPS measures of labor force participation rate differ due to differences in both methodology and coverage.
We use the ACS for two reasons: First, the myFutureNC goal is focused on 25-44-year-olds and the ACS allows us to examine this population in detail. Second, we are also developing county profiles and the ACS provides insight on labor force participation, by age, at the county level; this level of detail is not available in the CPS.