US counties by covered employment (QCEW)
Los Angeles County had the highest covered employment (QCEW) of 3131 counties in 2018, at 4,445,762 jobs. McPherson County had the lowest, at 69 jobs. The median was 8,159 jobs and the figure for the United States was 146,131,754 jobs. Source: the U.S. Bureau of Labor Statistics.
Map of counties, 2018
Top 40 counties, 2018
Full ranking
| Rank | Counties | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Los Angeles County | 4,445,762 | +1.5% |
| 2 | Cook County | 2,592,847 | +0.8% |
| 3 | New York County | 2,464,186 | +0.1% |
| 4 | Harris County | 2,307,039 | +1.5% |
| 5 | Maricopa County | 1,993,417 | +3.4% |
| 6 | Dallas County | 1,708,032 | +1.3% |
| 7 | Orange County | 1,627,009 | +2.1% |
| 8 | San Diego County | 1,464,125 | +2% |
| 9 | King County | 1,393,411 | +2.7% |
| 10 | Miami-Dade County | 1,144,432 | +1.9% |
| 11 | Santa Clara County | 1,098,089 | +2.5% |
| 12 | Clark County | 995,906 | +3.3% |
| 13 | Hennepin County | 929,690 | +1.5% |
| 14 | Middlesex County | 924,133 | +2.6% |
| 15 | Tarrant County | 897,988 | +2.8% |
| 16 | Fulton County | 875,091 | +2.8% |
| 17 | Bexar County | 866,345 | +1.4% |
| 18 | Orange County | 848,915 | +3.4% |
| 19 | Broward County | 812,164 | +1.8% |
| 20 | Alameda County | 786,038 | +1.9% |
| 21 | District of Columbia | 771,742 | +1% |
| 22 | Kings County | 767,261 | +7.8% |
| 23 | Franklin County | 756,883 | +1% |
| 24 | San Bernardino County | 752,120 | +3% |
| 25 | Travis County | 749,932 | +3.3% |
| 26 | San Francisco County | 740,879 | +3.3% |
| 27 | Riverside County | 738,092 | +3.5% |
| 28 | Oakland County | 736,982 | +1.2% |
| 29 | Cuyahoga County | 726,917 | +0.9% |
| 30 | Wayne County | 725,302 | +0.9% |
| 31 | Queens County | 704,073 | +6.3% |
| 32 | Salt Lake County | 701,784 | +2.5% |
| 33 | Allegheny County | 701,729 | +1% |
| 34 | Mecklenburg County | 695,619 | +2.3% |
| 35 | Philadelphia County | 687,903 | +2.2% |
| 36 | Hillsborough County | 686,050 | +1.9% |
| 37 | Suffolk County | 680,021 | +1.1% |
| 38 | Sacramento County | 664,745 | +2.7% |
| 39 | Suffolk County | 661,066 | +0.1% |
| 40 | Nassau County | 633,147 | +0.7% |
| 41 | DuPage County | 616,701 | -0.6% |
| 42 | Fairfax County | 612,537 | +1.8% |
| 43 | St. Louis County | 608,602 | +0.5% |
| 44 | Palm Beach County | 606,403 | +1.6% |
| 45 | Marion County | 598,427 | +0.7% |
| 46 | Wake County | 560,465 | +3% |
| 47 | Denver County | 519,092 | +2.6% |
| 48 | Hamilton County | 518,172 | +0.6% |
| 49 | Duval County | 514,380 | +2.4% |
| 50 | Multnomah County | 512,206 | +1.8% |
| 51 | Shelby County | 499,276 | +1.3% |
| 52 | Montgomery County | 496,676 | +0.8% |
| 53 | Davidson County | 495,791 | +2.5% |
| 54 | Milwaukee County | 488,998 | +0.9% |
| 55 | Honolulu County | 475,007 | +0.3% |
| 56 | Montgomery County | 470,884 | +0.3% |
| 57 | Erie County | 470,229 | +0.6% |
| 58 | Jefferson County | 467,983 | +0.7% |
| 59 | Oklahoma County | 456,678 | +1.8% |
| 60 | Bergen County | 444,513 | +0.2% |
| 61 | Pinellas County | 434,582 | +2.2% |
| 62 | Middlesex County | 430,193 | +1.8% |
| 63 | Westchester County | 429,127 | +0.7% |
| 64 | Collin County | 416,028 | +4.4% |
| 65 | San Mateo County | 404,242 | +0.9% |
| 66 | Kent County | 402,300 | +2% |
| 67 | Fresno County | 390,344 | +2.2% |
| 68 | Monroe County | 388,737 | +0.9% |
| 69 | Baltimore County | 380,537 | +1.5% |
| 70 | Jackson County | 370,836 | +0.9% |
| 71 | Contra Costa County | 368,450 | +0.5% |
| 72 | Pima County | 368,438 | +1.2% |
| 73 | Cobb County | 364,589 | +2.1% |
| 74 | Tulsa County | 356,691 | +1.5% |
| 75 | Norfolk County | 354,053 | +0.6% |
| 76 | Gwinnett County | 354,014 | +0.5% |
| 77 | Worcester County | 350,313 | +1% |
| 78 | Jefferson County | 349,955 | +1.6% |
| 79 | Johnson County | 349,302 | +2% |
| 80 | Baltimore city | 343,996 | +1.1% |
| 81 | Essex County | 341,663 | +0.3% |
| 82 | Douglas County | 339,604 | +0.2% |
| 83 | Lake County | 338,901 | +1% |
| 84 | Dane County | 336,407 | +1.1% |
| 85 | Ramsey County | 333,453 | +0.5% |
| 86 | Arapahoe County | 331,829 | +1.1% |
| 87 | Bernalillo County | 329,965 | +1% |
| 88 | Macomb County | 329,713 | +0.9% |
| 89 | Ventura County | 326,879 | +1.4% |
| 90 | Essex County | 325,671 | +0.1% |
| 91 | Kern County | 324,971 | +2.6% |
| 92 | Bronx County | 320,597 | +6.4% |
| 93 | Prince George's County | 320,443 | +0.5% |
| 94 | Pierce County | 310,879 | +2.8% |
| 95 | El Paso County | 306,358 | +1.8% |
| 96 | Polk County | 301,968 | +1.1% |
| 97 | DeKalb County | 301,013 | +1.2% |
| 98 | Washington County | 295,495 | +1.9% |
| 99 | Morris County | 291,402 | +1.1% |
| 100 | New Castle County | 290,391 | +0.8% |
| 101 | Providence County | 287,533 | +0.7% |
| 102 | Snohomish County | 287,468 | +1.2% |
| 103 | Guilford County | 281,564 | +0.7% |
| 104 | El Paso County | 276,458 | +2.1% |
| 105 | Greenville County | 275,231 | +3.2% |
| 106 | Anne Arundel County | 273,601 | +1% |
| 107 | East Baton Rouge Parish | 267,593 | +0.8% |
| 108 | Summit County | 266,964 | -0% |
| 109 | Bucks County | 266,495 | +1.1% |
| 110 | Hudson County | 263,998 | +1.5% |
| 111 | Lee County | 261,782 | +2.6% |
| 112 | Monmouth County | 261,326 | +0.9% |
| 113 | Hidalgo County | 261,227 | +2.4% |
| 114 | Montgomery County | 254,513 | -0.1% |
| 115 | Charleston County | 254,079 | +3.1% |
| 116 | San Joaquin County | 253,099 | +2% |
| 117 | Mercer County | 252,507 | +2% |
| 118 | Pulaski County | 251,108 | +0.5% |
| 119 | Chester County | 251,021 | +0.6% |
| 120 | Sedgwick County | 250,769 | +1.5% |
| 121 | Denton County | 246,363 | +3% |
| 122 | Onondaga County | 245,982 | +1% |
| 123 | Will County | 245,803 | +2.4% |
| 124 | Ada County | 244,681 | +4.7% |
| 125 | Waukesha County | 243,966 | +0.7% |
| 126 | Utah County | 243,379 | +5.6% |
| 127 | Lancaster County | 242,383 | +2.1% |
| 128 | Knox County | 239,190 | +0.9% |
| 129 | Jefferson County | 238,873 | +2.5% |
| 130 | Albany County | 233,634 | -0.1% |
| 131 | St. Louis city | 229,646 | +1.5% |
| 132 | Bristol County | 228,565 | +1% |
| 133 | Union County | 226,708 | +3.4% |
| 134 | Delaware County | 224,808 | +1% |
| 135 | Spokane County | 223,698 | +2.4% |
| 136 | Richland County | 223,016 | +1.7% |
| 137 | Washoe County | 221,790 | +2.4% |
| 138 | Polk County | 220,809 | +2.6% |
| 139 | Brevard County | 215,206 | +4.1% |
| 140 | Adams County | 213,341 | +4.1% |
| 141 | Washtenaw County | 213,252 | +1.4% |
| 142 | Kane County | 213,005 | +1.5% |
| 143 | Sonoma County | 210,146 | +2.3% |
| 144 | Lucas County | 209,708 | +1.5% |
| 145 | Hampden County | 209,706 | +0.6% |
| 146 | Hamilton County | 205,565 | +2.5% |
| 147 | Durham County | 205,004 | +2.8% |
| 148 | Camden County | 204,761 | +0.5% |
| 149 | Hillsborough County | 203,979 | +1.1% |
| 150 | Burlington County | 201,537 | -1.5% |
| 151 | Madison County | 200,339 | +2.4% |
| 152 | Santa Barbara County | 199,915 | +1.2% |
| 153 | Orleans Parish | 196,659 | +1.4% |
| 154 | Monterey County | 195,650 | +2.7% |
| 155 | Seminole County | 194,887 | +3.6% |
| 156 | Plymouth County | 194,800 | +0.9% |
| 157 | Fayette County | 193,467 | -0.9% |
| 158 | Lehigh County | 193,040 | +2.2% |
| 159 | Henrico County | 191,595 | -0.7% |
| 160 | Stanislaus County | 190,801 | +2% |
| 161 | Jefferson Parish | 189,665 | -0.7% |
| 162 | Dakota County | 189,606 | +0.7% |
| 163 | Fort Bend County | 189,321 | +5.9% |
| 164 | Allen County | 188,032 | +1.7% |
| 165 | Lake County | 187,819 | +0.1% |
| 166 | Somerset County | 187,733 | +0.3% |
| 167 | Montgomery County | 186,706 | +6.1% |
| 168 | Forsyth County | 186,592 | +1.6% |
| 169 | Cumberland County | 185,438 | +1.5% |
| 170 | Dauphin County | 184,687 | +1.5% |
| 171 | Boulder County | 183,538 | +2.1% |
| 172 | York County | 179,411 | +0.8% |
| 173 | Virginia Beach city | 178,196 | -0.1% |
| 174 | Arlington County | 178,158 | +0.8% |
| 175 | Berks County | 173,551 | +1.3% |
| 176 | Volusia County | 173,345 | +2.1% |
| 177 | Williamson County | 173,143 | +4.8% |
| 178 | Howard County | 172,273 | +1.1% |
| 179 | Lancaster County | 171,353 | +1.7% |
| 180 | Sarasota County | 171,108 | +2.8% |
| 181 | Mobile County | 171,077 | +0.6% |
| 182 | Loudoun County | 169,077 | +2.8% |
| 183 | Ocean County | 168,878 | +2% |
| 184 | Placer County | 168,419 | +4.5% |
| 185 | Greene County | 167,262 | +1.5% |
| 186 | Clackamas County | 166,077 | +2.2% |
| 187 | Passaic County | 165,808 | -0.2% |
| 188 | Tulare County | 164,037 | +1.2% |
| 189 | Nueces County | 164,019 | +1.1% |
| 190 | Larimer County | 162,297 | +2.9% |
| 191 | Clark County | 161,261 | +3.6% |
| 192 | Stark County | 160,016 | +0.5% |
| 193 | Brown County | 159,100 | +1.9% |
| 194 | Lane County | 156,774 | +1.4% |
| 195 | Marion County | 156,036 | +2.5% |
| 196 | Richmond city | 155,753 | +0.8% |
| 197 | Chatham County | 155,386 | +2.5% |
| 198 | Butler County | 155,213 | +0.8% |
| 199 | Ingham County | 151,451 | -0.4% |
| 200 | Leon County | 151,280 | +2.2% |
| 201 | Rockingham County | 149,837 | +0.5% |
| 202 | Anchorage Municipality | 148,160 | -0.5% |
| 203 | St. Charles County | 147,805 | +0.9% |
| 204 | Collier County | 147,505 | +3.2% |
| 205 | Orange County | 145,122 | +1.8% |
| 206 | Luzerne County | 144,969 | +0.1% |
| 207 | Norfolk city | 142,754 | +0.6% |
| 208 | Spartanburg County | 141,952 | +3.5% |
| 209 | Hamilton County | 141,940 | +1.4% |
| 210 | Solano County | 141,574 | +2.3% |
| 211 | Lubbock County | 139,727 | +0.3% |
| 212 | Cameron County | 139,199 | +0.2% |
| 213 | Chesterfield County | 138,428 | +1.9% |
| 214 | Elkhart County | 137,512 | +2.9% |
| 215 | Escambia County | 135,555 | +1.4% |
| 216 | Williamson County | 135,127 | +4.6% |
| 217 | Genesee County | 134,488 | +0.3% |
| 218 | Cumberland County | 134,480 | +0.9% |
| 219 | Westmoreland County | 133,713 | +0.3% |
| 220 | Buncombe County | 132,579 | +2.2% |
| 221 | Alachua County | 132,008 | +2.2% |
| 222 | Horry County | 131,240 | +3.3% |
| 223 | Montgomery County | 131,023 | -0.8% |
| 224 | Linn County | 130,637 | +0.8% |
| 225 | Lafayette Parish | 130,603 | +1.2% |
| 226 | Prince William County | 130,335 | +1.9% |
| 227 | Rutherford County | 130,010 | +4.3% |
| 228 | Sangamon County | 129,914 | +0.6% |
| 229 | Davis County | 129,895 | +3.1% |
| 230 | Atlantic County | 126,911 | +2.8% |
| 231 | Ottawa County | 126,890 | +1.6% |
| 232 | Minnehaha County | 126,800 | +1.1% |
| 233 | Winnebago County | 126,796 | +0.6% |
| 234 | Rockland County | 126,330 | +2% |
| 235 | Douglas County | 125,679 | +3.7% |
| 236 | Anoka County | 125,589 | +2.7% |
| 237 | Manatee County | 124,279 | +2.4% |
| 238 | St. Joseph County | 123,222 | +0.5% |
| 239 | Jefferson County | 123,013 | +0.7% |
| 240 | Richmond County | 122,908 | +6.1% |
| 241 | Erie County | 122,028 | +0.4% |
| 242 | Clayton County | 121,924 | -0.9% |
| 243 | Hinds County | 120,145 | -1% |
| 244 | Kalamazoo County | 119,847 | +1.4% |
| 245 | Benton County | 119,780 | +1.9% |
| 246 | Lexington County | 119,766 | +1.7% |
| 247 | Cumberland County | 119,653 | +0.7% |
| 248 | Pasco County | 119,364 | +3.3% |
| 249 | Bell County | 118,632 | +0.4% |
| 250 | San Luis Obispo County | 118,320 | +0.8% |
Other periods
About this ranking
Average number of jobs covered by unemployment insurance during the year, all industries, private and government, from the Quarterly Census of Employment and Wages (QCEW) of the U.S. Bureau of Labor Statistics. Counted where the job is located, from the reports employers file each quarter; monthly employment counts the jobs in the pay period that includes the 12th.
Counts jobs, not people: someone with two jobs counts twice. Covers about 95 percent of US wage and salary jobs. Excludes the self-employed, most agricultural workers on small farms, the armed forces, elected officials in most states, most railroad employees, some domestic workers and most student workers at schools. A count of employer reports, not a survey estimate like oews_employment.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. 12 counties with data in other periods have no value for 2018 and are left out rather than filled from another source. Equal values share a rank.
How to cite
U.S. Bureau of Labor Statistics. Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties. https://data.bls.gov/cew/data/api/2018/a/industry/10.csv. Retrieved 2026-10-12.
Citation styles
APA 7
U.S. Bureau of Labor Statistics. (2026). Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties (US counties by covered employment (QCEW), 2018) [Data set]. Retrieved October 12, 2026, from https://data.bls.gov/cew/data/api/2018/a/industry/10.csv
MLA 9
Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties, US counties by covered employment (QCEW), 2018. U.S. Bureau of Labor Statistics, 21 Aug. 2026, https://data.bls.gov/cew/data/api/2018/a/industry/10.csv. Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2018. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Bureau of Labor Statistics. 2026. Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties. US counties by covered employment (QCEW), 2018. Dataset. Accessed October 12, 2026. https://data.bls.gov/cew/data/api/2018/a/industry/10.csv. Also distributed by Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2018.
Harvard
U.S. Bureau of Labor Statistics (2026) Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties, US counties by covered employment (QCEW), 2018 [Dataset]. Available at: https://data.bls.gov/cew/data/api/2018/a/industry/10.csv, via Invokely: https://invokely.ai/rankings/covered-employment/us-counties?period=2018 (Accessed: 12 October 2026).
BibTeX
@misc{bureau_us_counties_by_covered_2018,
author = {{U.S. Bureau of Labor Statistics}},
title = {{Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties: US counties by covered employment (QCEW), 2018}},
year = {2026},
howpublished = {Data set},
url = {https://data.bls.gov/cew/data/api/2018/a/industry/10.csv},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2018. Publisher attribution: U.S. Bureau of Labor Statistics. Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties. https://data.bls.gov/cew/data/api/2018/a/industry/10.csv. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - U.S. Bureau of Labor Statistics
TI - Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties: US counties by covered employment (QCEW), 2018
PY - 2026
DA - 2026/08/21
PB - U.S. Bureau of Labor Statistics
DB - Invokely
UR - https://data.bls.gov/cew/data/api/2018/a/industry/10.csv
L2 - https://invokely.ai/rankings/covered-employment/us-counties?period=2018
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2018.
N1 - Publisher attribution: U.S. Bureau of Labor Statistics. Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties. https://data.bls.gov/cew/data/api/2018/a/industry/10.csv. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by covered employment (QCEW) using official data, and cite the source.
rank_places {"indicator":"covered_employment","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=covered_employment&level=province&within=United%20States&limit=10
Questions
Which county has the highest covered employment (QCEW)?
Los Angeles County, with 4,445,762 jobs in 2018, according to the U.S. Bureau of Labor Statistics.
Which county has the lowest covered employment (QCEW)?
McPherson County, with 69 jobs in 2018.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: U.S. Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW): annual average employment, total covered, all industries (NAICS 10), nation, states and counties. Retrieved 2026-10-12. 12 counties have no value for 2018 and are not ranked.