US counties by covered employment (QCEW)
Los Angeles County had the highest covered employment (QCEW) of 3132 counties in 2014, at 4,154,640 jobs. Loving County had the lowest, at 45 jobs. The median was 8,060 jobs and the figure for the United States was 136,613,609 jobs. Source: the U.S. Bureau of Labor Statistics.
Map of counties, 2014
Top 40 counties, 2014
Full ranking
| Rank | Counties | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Los Angeles County | 4,154,640 | +2% |
| 2 | New York County | 2,495,683 | +2.6% |
| 3 | Cook County | 2,468,453 | +1.7% |
| 4 | Harris County | 2,257,442 | +3.5% |
| 5 | Maricopa County | 1,755,209 | +2.4% |
| 6 | Dallas County | 1,545,442 | +3.4% |
| 7 | Orange County | 1,472,171 | +2.2% |
| 8 | San Diego County | 1,332,960 | +2.2% |
| 9 | King County | 1,237,586 | +3.2% |
| 10 | Miami-Dade County | 1,046,237 | +2.8% |
| 11 | Santa Clara County | 973,668 | +3.8% |
| 12 | Clark County | 873,804 | +4.2% |
| 13 | Hennepin County | 866,709 | +1.5% |
| 14 | Middlesex County | 854,203 | +2% |
| 15 | Tarrant County | 822,665 | +2% |
| 16 | Bexar County | 793,727 | +3% |
| 17 | Fulton County | 766,233 | +2.8% |
| 18 | Broward County | 740,103 | +3% |
| 19 | Orange County | 732,630 | +3.8% |
| 20 | District of Columbia | 729,349 | +0.7% |
| 21 | Cuyahoga County | 708,513 | +0.1% |
| 22 | Franklin County | 705,790 | +2.3% |
| 23 | Alameda County | 698,536 | +3% |
| 24 | Oakland County | 691,373 | +1.9% |
| 25 | Wayne County | 690,608 | +0.8% |
| 26 | Allegheny County | 683,149 | -0.2% |
| 27 | San Bernardino County | 659,116 | +4.5% |
| 28 | Travis County | 655,305 | +4.3% |
| 29 | Philadelphia County | 641,023 | +1.3% |
| 30 | San Francisco County | 640,378 | +4.7% |
| 31 | Suffolk County | 634,939 | +0.9% |
| 32 | Riverside County | 625,942 | +5.1% |
| 33 | Salt Lake County | 623,528 | +2.4% |
| 34 | Suffolk County | 621,711 | +2.6% |
| 35 | Hillsborough County | 620,402 | +2.8% |
| 36 | Sacramento County | 612,685 | +1.9% |
| 37 | Mecklenburg County | 610,135 | +4% |
| 38 | Nassau County | 604,958 | +1.4% |
| 39 | DuPage County | 600,818 | +2.3% |
| 40 | St. Louis County | 581,407 | +1.7% |
| 41 | Fairfax County | 579,539 | -1.2% |
| 42 | Marion County | 577,413 | +1.2% |
| 43 | Kings County | 568,298 | +5.8% |
| 44 | Queens County | 552,912 | +3.7% |
| 45 | Palm Beach County | 543,731 | +3.8% |
| 46 | Hamilton County | 499,116 | +1.1% |
| 47 | Wake County | 490,404 | +3.5% |
| 48 | Milwaukee County | 476,971 | +0.4% |
| 49 | Shelby County | 476,351 | +0.8% |
| 50 | Montgomery County | 472,655 | +0.9% |
| 51 | Multnomah County | 465,483 | +3% |
| 52 | Denver County | 460,715 | +4.4% |
| 53 | Honolulu County | 457,191 | +1.2% |
| 54 | Erie County | 456,856 | +0.4% |
| 55 | Duval County | 456,264 | +1.6% |
| 56 | Montgomery County | 455,820 | +0.9% |
| 57 | Davidson County | 454,831 | +3.7% |
| 58 | Oklahoma County | 442,648 | +1.5% |
| 59 | Jefferson County | 440,249 | +2.1% |
| 60 | Bergen County | 435,399 | +0.9% |
| 61 | Westchester County | 412,605 | +1.5% |
| 62 | Pinellas County | 396,809 | +1.7% |
| 63 | Middlesex County | 391,130 | +1% |
| 64 | Monroe County | 375,479 | +0.6% |
| 65 | San Mateo County | 372,192 | +4.4% |
| 66 | Baltimore County | 364,651 | +1.1% |
| 67 | Kent County | 356,367 | +2.5% |
| 68 | Fresno County | 354,646 | +1.6% |
| 69 | Pima County | 351,963 | +0.6% |
| 70 | Jackson County | 350,321 | +0.7% |
| 71 | Collin County | 345,248 | +5.4% |
| 72 | Tulsa County | 343,060 | +1.8% |
| 73 | Contra Costa County | 339,281 | +2% |
| 74 | Jefferson County | 339,026 | +0.3% |
| 75 | Norfolk County | 336,770 | +2% |
| 76 | Baltimore city | 331,750 | +0.2% |
| 77 | Lake County | 330,111 | +1.2% |
| 78 | Essex County | 329,508 | -0.6% |
| 79 | Worcester County | 328,389 | +1.9% |
| 80 | Johnson County | 328,048 | +2.5% |
| 81 | Douglas County | 327,244 | +1.9% |
| 82 | Cobb County | 325,446 | +4.2% |
| 83 | Gwinnett County | 325,273 | +4.3% |
| 84 | Ramsey County | 323,130 | +1% |
| 85 | Bernalillo County | 314,610 | +1% |
| 86 | Dane County | 314,412 | +1.9% |
| 87 | Ventura County | 313,766 | +1.2% |
| 88 | Essex County | 313,446 | +1.3% |
| 89 | Kern County | 311,992 | +2.5% |
| 90 | Macomb County | 306,863 | +2% |
| 91 | Arapahoe County | 305,590 | +3.2% |
| 92 | Prince George's County | 303,015 | +1.1% |
| 93 | Polk County | 285,777 | +2.6% |
| 94 | El Paso County | 284,500 | +1.2% |
| 95 | DeKalb County | 283,482 | +3% |
| 96 | Morris County | 278,611 | +0.9% |
| 97 | New Castle County | 278,216 | +2.7% |
| 98 | Pierce County | 277,890 | +3% |
| 99 | Providence County | 277,158 | +2.4% |
| 100 | Guilford County | 269,260 | +0.9% |
| 101 | East Baton Rouge Parish | 268,466 | +2% |
| 102 | Snohomish County | 267,792 | +1.6% |
| 103 | Washington County | 264,805 | +3.2% |
| 104 | Summit County | 260,173 | +1.4% |
| 105 | Anne Arundel County | 255,373 | +1.3% |
| 106 | Bronx County | 251,499 | +3.4% |
| 107 | Bucks County | 250,909 | +1.3% |
| 108 | El Paso County | 248,671 | +2.2% |
| 109 | Greenville County | 248,095 | +4.5% |
| 110 | Monmouth County | 246,296 | +1.3% |
| 111 | Montgomery County | 245,950 | +1.5% |
| 112 | Sedgwick County | 245,011 | +1.2% |
| 113 | Pulaski County | 242,214 | -0.3% |
| 114 | Onondaga County | 240,867 | +0.1% |
| 115 | Chester County | 240,501 | +0.8% |
| 116 | Hidalgo County | 239,524 | +2.3% |
| 117 | Hudson County | 236,505 | +1% |
| 118 | Mercer County | 235,152 | +1.6% |
| 119 | Waukesha County | 231,283 | +0.8% |
| 120 | Charleston County | 228,699 | +4.8% |
| 121 | Lee County | 226,047 | +6.2% |
| 122 | Lancaster County | 225,725 | +2.1% |
| 123 | Albany County | 225,288 | +1.3% |
| 124 | Knox County | 224,433 | +2% |
| 125 | St. Louis city | 222,716 | +0.1% |
| 126 | Jefferson County | 222,051 | +2.8% |
| 127 | Union County | 218,821 | -0.5% |
| 128 | Bristol County | 218,672 | +2.4% |
| 129 | San Joaquin County | 217,755 | +2.8% |
| 130 | Delaware County | 216,279 | +1.6% |
| 131 | Will County | 215,179 | +1.9% |
| 132 | Ada County | 210,121 | +2.3% |
| 133 | Richland County | 209,778 | +1.6% |
| 134 | Spokane County | 205,671 | +1.7% |
| 135 | Lucas County | 204,692 | +1.3% |
| 136 | Denton County | 204,489 | +5.3% |
| 137 | Kane County | 204,257 | +1.5% |
| 138 | Hampden County | 200,460 | +1% |
| 139 | Washtenaw County | 198,661 | +0.7% |
| 140 | Polk County | 197,921 | +1.5% |
| 141 | Burlington County | 196,573 | +0.5% |
| 142 | Utah County | 195,152 | +4.6% |
| 143 | Camden County | 195,054 | +1.3% |
| 144 | Washoe County | 194,123 | +3.1% |
| 145 | Hillsborough County | 193,564 | +1.6% |
| 146 | Jefferson Parish | 193,207 | +0.2% |
| 147 | Sonoma County | 191,686 | +4% |
| 148 | Santa Barbara County | 190,544 | +2.7% |
| 149 | Brevard County | 189,748 | +1.2% |
| 150 | Durham County | 189,039 | +2.7% |
| 151 | Orleans Parish | 187,554 | +4% |
| 152 | Hamilton County | 186,133 | -0.3% |
| 153 | Lake County | 186,082 | -0.8% |
| 154 | Fayette County | 184,389 | +1.5% |
| 155 | Adams County | 182,840 | +5.8% |
| 156 | Madison County | 182,630 | +0.6% |
| 157 | Plymouth County | 182,095 | +1.6% |
| 158 | Lehigh County | 180,841 | +1.3% |
| 159 | Dakota County | 180,335 | +1.5% |
| 160 | Monterey County | 180,247 | +3.3% |
| 161 | Henrico County | 179,377 | -0% |
| 162 | Somerset County | 178,761 | +1.8% |
| 163 | Forsyth County | 177,865 | +1.5% |
| 164 | Allen County | 177,116 | +1.2% |
| 165 | Dauphin County | 176,005 | -0.1% |
| 166 | Cumberland County | 173,349 | +0.8% |
| 167 | Stanislaus County | 172,907 | +2.6% |
| 168 | York County | 172,182 | +0.7% |
| 169 | Virginia Beach city | 171,026 | +0.9% |
| 170 | Boulder County | 169,023 | +2.7% |
| 171 | Seminole County | 167,681 | +3.8% |
| 172 | Berks County | 166,811 | +1.4% |
| 173 | Mobile County | 165,758 | +1.1% |
| 174 | Passaic County | 164,793 | -1.6% |
| 175 | Arlington County | 164,576 | -0.3% |
| 176 | Nueces County | 163,150 | +2.1% |
| 177 | Fort Bend County | 163,123 | +3.9% |
| 178 | Lancaster County | 162,804 | +1.5% |
| 179 | Howard County | 159,886 | +0.3% |
| 180 | Stark County | 158,336 | +1.5% |
| 181 | Montgomery County | 157,888 | +5.5% |
| 182 | Greene County | 157,841 | +2.3% |
| 183 | Ocean County | 156,608 | +2.6% |
| 184 | Volusia County | 155,707 | +2.3% |
| 185 | Anchorage Municipality | 152,814 | -0.4% |
| 186 | Sarasota County | 152,582 | +6.2% |
| 187 | Ingham County | 149,788 | -0.4% |
| 188 | Brown County | 148,779 | +0.6% |
| 189 | Loudoun County | 148,593 | +1.5% |
| 190 | Tulare County | 148,560 | +0.5% |
| 191 | Richmond city | 148,477 | +0.6% |
| 192 | Clackamas County | 145,861 | +2% |
| 193 | Williamson County | 145,135 | +4.3% |
| 194 | Butler County | 142,924 | +2.8% |
| 195 | Placer County | 142,126 | +3.5% |
| 196 | Lane County | 141,998 | +2.4% |
| 197 | Larimer County | 141,746 | +3.4% |
| 198 | Lafayette Parish | 141,722 | +1.1% |
| 199 | Leon County | 141,186 | +2.4% |
| 200 | Luzerne County | 140,883 | +1.3% |
| 201 | Rockingham County | 139,969 | +1.8% |
| 202 | Clark County | 139,704 | +4.3% |
| 203 | Marion County | 139,687 | +3.5% |
| 204 | Chatham County | 139,326 | +2.4% |
| 205 | Orange County | 136,153 | +3.1% |
| 206 | Norfolk city | 134,423 | -1.5% |
| 207 | Cameron County | 134,059 | +1.6% |
| 208 | Genesee County | 132,773 | +0.9% |
| 209 | St. Charles County | 132,673 | +1.6% |
| 210 | Westmoreland County | 132,300 | +0.2% |
| 211 | Lubbock County | 131,194 | +1.8% |
| 212 | Collier County | 128,883 | +4.9% |
| 213 | Sangamon County | 128,706 | +2.5% |
| 214 | Montgomery County | 128,537 | +0.1% |
| 215 | Atlantic County | 128,443 | -2.9% |
| 216 | Linn County | 127,927 | +1% |
| 217 | Solano County | 127,175 | +1.8% |
| 218 | Cumberland County | 126,947 | +1.8% |
| 219 | Winnebago County | 126,130 | +2.2% |
| 220 | Hamilton County | 125,527 | +4.8% |
| 221 | Chesterfield County | 124,399 | +1.6% |
| 222 | Erie County | 124,110 | +0.1% |
| 223 | Escambia County | 124,053 | +2% |
| 224 | Spartanburg County | 123,466 | +3.4% |
| 225 | Jefferson County | 123,412 | +4.1% |
| 226 | Minnehaha County | 120,987 | +2.5% |
| 227 | Alachua County | 120,314 | +2.1% |
| 228 | Elkhart County | 120,143 | +4.2% |
| 229 | Prince William County | 119,463 | +2.4% |
| 230 | Hinds County | 119,322 | -0.4% |
| 231 | Buncombe County | 119,125 | +2.3% |
| 232 | St. Joseph County | 117,280 | +1.8% |
| 233 | Cumberland County | 117,153 | -0.4% |
| 234 | Anoka County | 116,729 | +1.8% |
| 235 | Rockland County | 116,258 | +0.2% |
| 236 | Ottawa County | 115,679 | +4.5% |
| 237 | Horry County | 115,476 | +3.3% |
| 238 | Caddo Parish | 115,435 | -0.4% |
| 239 | Davis County | 113,935 | +3.3% |
| 240 | Cass County | 113,789 | +3.9% |
| 241 | Clayton County | 113,469 | +2.2% |
| 242 | Kalamazoo County | 112,686 | +1.2% |
| 243 | Rutherford County | 111,773 | +3.7% |
| 244 | Bell County | 111,368 | +0.9% |
| 245 | Marin County | 110,424 | +1.4% |
| 246 | San Luis Obispo County | 110,345 | +2.9% |
| 247 | Manatee County | 109,945 | +2.8% |
| 248 | Dutchess County | 108,983 | -0.9% |
| 249 | Lexington County | 108,309 | +5.6% |
| 250 | Williamson County | 108,125 | +5.4% |
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. 11 counties with data in other periods have no value for 2014 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/2014/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), 2014) [Data set]. Retrieved October 12, 2026, from https://data.bls.gov/cew/data/api/2014/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), 2014. U.S. Bureau of Labor Statistics, 21 Aug. 2026, https://data.bls.gov/cew/data/api/2014/a/industry/10.csv. Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2014. 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), 2014. Dataset. Accessed October 12, 2026. https://data.bls.gov/cew/data/api/2014/a/industry/10.csv. Also distributed by Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2014.
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), 2014 [Dataset]. Available at: https://data.bls.gov/cew/data/api/2014/a/industry/10.csv, via Invokely: https://invokely.ai/rankings/covered-employment/us-counties?period=2014 (Accessed: 12 October 2026).
BibTeX
@misc{bureau_us_counties_by_covered_2014,
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), 2014}},
year = {2026},
howpublished = {Data set},
url = {https://data.bls.gov/cew/data/api/2014/a/industry/10.csv},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2014. 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/2014/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), 2014
PY - 2026
DA - 2026/08/21
PB - U.S. Bureau of Labor Statistics
DB - Invokely
UR - https://data.bls.gov/cew/data/api/2014/a/industry/10.csv
L2 - https://invokely.ai/rankings/covered-employment/us-counties?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2014.
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/2014/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 4,154,640 jobs in 2014, according to the U.S. Bureau of Labor Statistics.
Which county has the lowest covered employment (QCEW)?
Loving County, with 45 jobs in 2014.
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. 11 counties have no value for 2014 and are not ranked.