blog

Counties With Highest and Lowest Labor Force Participation

Written by Adelle Wood | Apr 20, 2026 7:59:49 AM

In Teton County, Wyoming, 77.5% of residents are in the civilian labor force. In Sumter County, Florida, the same figure is 25.0%, a spread of 52.5 percentage points across the country. The national county median sits near 58.4%, a reminder that labor force participation varies sharply by place, not just by state. That single percentage summarizes a lot of local life at once, from the age of a county's population to the mix of its employers, the availability of child care, and how far residents travel to earn a living. Looking at the national spread, rather than any one state, makes those forces easier to see.

Only counties with at least twenty thousand residents are included in the rankings below. That cutoff trims out places where a single employer or a small college can swing the participation rate by several points. Even with that filter in place, the country still contains counties where nearly four in five adults are working or looking for work, and counties where barely one in three are. That range is wider than most state-level statistics suggest.

Top ten counties by civilian labor force participation

  1. Teton County, Wyoming: 77.5%
  2. Arlington County, Virginia: 76.3%
  3. Cass County, North Dakota: 75.8%
  4. Alexandria city, Virginia: 75.7%
  5. Lincoln County, South Dakota: 75.4%
  6. Scott County, Minnesota: 75.2%
  7. Dallas County, Iowa: 75.1%
  8. Summit County, Colorado: 74.9%
  9. Eagle County, Colorado: 74.3%
  10. Minnehaha County, South Dakota: 74.2%

Ten counties with the lowest participation

Low participation usually reflects older populations, school-age students, or counties where retirement and disability income replace wages. These are the ten counties with populations above twenty thousand where fewer than half of residents are in the civilian labor force.

  1. Sumter County, Florida: 25.0%
  2. San Germán Municipio, Puerto Rico: 31.5%
  3. Guayama Municipio, Puerto Rico: 35.2%
  4. Mingo County, West Virginia: 36.7%
  5. Yabucoa Municipio, Puerto Rico: 36.7%
  6. Isabela Municipio, Puerto Rico: 37.8%
  7. Orocovis Municipio, Puerto Rico: 37.9%
  8. Aguada Municipio, Puerto Rico: 38.0%
  9. Humacao Municipio, Puerto Rico: 38.1%
  10. Aibonito Municipio, Puerto Rico: 38.2%

Where women are most active in the labor force

Nationally, the county median for female labor force participation is 50.4%. A handful of counties sit well above that mark.

  1. Arlington County, Virginia: 70.6%
  2. Cass County, North Dakota: 69.2%
  3. Alexandria city, Virginia: 68.6%
  4. Dodge County, Minnesota: 68.3%
  5. Scott County, Minnesota: 68.2%

Commute times, long and short

Mean one-way commute time also tracks labor market geography. The national county median is 24.4 minutes. These five counties have the longest commutes.

  1. Bronx County, New York: 43.9 minutes
  2. Pike County, Pennsylvania: 43.6 minutes
  3. Richmond County, New York: 43.5 minutes
  4. Queens County, New York: 43.1 minutes
  5. Charles County, Maryland: 43.1 minutes

And these five have the shortest, a mix of small towns, tribal lands, and remote areas where work is close or scarce.

  1. Sioux County, Iowa: 12.7 minutes
  2. Ford County, Kansas: 12.9 minutes
  3. Ellis County, Kansas: 13.0 minutes
  4. Jackson County, Oklahoma: 13.3 minutes
  5. Brown County, South Dakota: 13.4 minutes

What the spread tells us

Labor force participation is one of the most revealing figures in county data. It compresses age structure, industry mix, commuting patterns, and household economics into a single percentage. Counties near the top of the list tend to be young, exurban, and service or tech oriented, with strong tourism or professional services anchoring year round work. Counties near the bottom skew older, more rural, or more dependent on non-wage income such as Social Security, pensions, and disability benefits. Retirement-heavy areas in Florida and Arizona almost always appear near the bottom of any national participation ranking, not because work is scarce, but because most residents have already left the workforce by design.

The commute picture tells a related story. Very short mean commutes often signal that people are working close to home, sometimes because they live on tribal lands, in small self-contained towns, or in rural areas where jobs are limited and the few that exist are nearby. Very long commutes tend to show up in exurban counties within reach of a major metro, where workers trade travel time for lower housing costs. Pair the commute data with the participation ranking and you can start to map where the country's labor market is tight, where it is thin, and where it has effectively aged out.

For reporters, economic developers, and local planners, the county level view is useful precisely because state averages hide it. A state with a moderate participation rate can contain both a high participation exurb and a low participation retirement region within a two hour drive. Neither pattern is good or bad on its own, but together they sketch the working shape of the country in a way state totals never will.

Data source: U.S. Census Bureau, American Community Survey (ACS) 5-Year Estimates