US counties by covered employment (QCEW)
Los Angeles County had the highest covered employment (QCEW) of 3132 counties in 2016, at 4,344,132 jobs. Loving County had the lowest, at 74 jobs. The median was 8,074 jobs and the figure for the United States was 141,870,066 jobs. Source: the U.S. Bureau of Labor Statistics.
Map of counties, 2016
Top 40 counties, 2016
Full ranking
| Rank | Counties | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Los Angeles County | 4,344,132 | +2.3% |
| 2 | Cook County | 2,561,922 | +1.2% |
| 3 | New York County | 2,415,773 | +1.7% |
| 4 | Harris County | 2,266,730 | -1.1% |
| 5 | Maricopa County | 1,871,953 | +3% |
| 6 | Dallas County | 1,651,334 | +2.9% |
| 7 | Orange County | 1,559,959 | +2.7% |
| 8 | San Diego County | 1,405,808 | +2.6% |
| 9 | King County | 1,315,662 | +3.3% |
| 10 | Miami-Dade County | 1,107,359 | +2.6% |
| 11 | Santa Clara County | 1,046,049 | +2.8% |
| 12 | Clark County | 936,500 | +3.1% |
| 13 | Hennepin County | 901,095 | +2% |
| 14 | Middlesex County | 888,073 | +1.7% |
| 15 | Tarrant County | 855,756 | +1.8% |
| 16 | Bexar County | 841,335 | +2.8% |
| 17 | Fulton County | 823,703 | +4.1% |
| 18 | Orange County | 793,424 | +4% |
| 19 | Broward County | 782,923 | +2.8% |
| 20 | District of Columbia | 756,646 | +1.8% |
| 21 | Alameda County | 751,599 | +3.1% |
| 22 | Franklin County | 738,559 | +2.4% |
| 23 | Oakland County | 721,461 | +2.2% |
| 24 | Cuyahoga County | 719,480 | +0.8% |
| 25 | Wayne County | 711,606 | +1.8% |
| 26 | San Bernardino County | 706,208 | +2.4% |
| 27 | Travis County | 705,811 | +2.7% |
| 28 | San Francisco County | 703,188 | +4.2% |
| 29 | Riverside County | 689,386 | +4.7% |
| 30 | Allegheny County | 688,600 | +0.5% |
| 31 | Kings County | 687,358 | +3.9% |
| 32 | Salt Lake County | 668,481 | +3.6% |
| 33 | Hillsborough County | 665,072 | +3.3% |
| 34 | Philadelphia County | 663,398 | +2% |
| 35 | Mecklenburg County | 661,927 | +3.9% |
| 36 | Suffolk County | 659,565 | +3.1% |
| 37 | Suffolk County | 650,509 | +1.3% |
| 38 | Queens County | 647,912 | +2.3% |
| 39 | Sacramento County | 638,422 | +1.9% |
| 40 | Nassau County | 622,087 | +1.5% |
| 41 | DuPage County | 612,265 | +1.4% |
| 42 | St. Louis County | 598,815 | +1.3% |
| 43 | Fairfax County | 595,313 | +1.4% |
| 44 | Marion County | 591,186 | +1.4% |
| 45 | Palm Beach County | 584,989 | +3.4% |
| 46 | Wake County | 530,547 | +3.7% |
| 47 | Hamilton County | 509,034 | +0.7% |
| 48 | Denver County | 494,890 | +3.5% |
| 49 | Multnomah County | 492,062 | +2.5% |
| 50 | Shelby County | 491,027 | +1.5% |
| 51 | Duval County | 486,433 | +2.9% |
| 52 | Milwaukee County | 484,344 | +0.5% |
| 53 | Montgomery County | 484,289 | +1.4% |
| 54 | Honolulu County | 471,586 | +1.4% |
| 55 | Davidson County | 470,477 | +3.5% |
| 56 | Erie County | 466,253 | +1% |
| 57 | Montgomery County | 463,967 | +0.9% |
| 58 | Jefferson County | 459,791 | +2.1% |
| 59 | Oklahoma County | 447,610 | -0.6% |
| 60 | Bergen County | 444,086 | +0.7% |
| 61 | Westchester County | 422,288 | +0.8% |
| 62 | Pinellas County | 417,990 | +2.4% |
| 63 | Middlesex County | 413,524 | +2.9% |
| 64 | San Mateo County | 391,640 | +2.1% |
| 65 | Kent County | 388,828 | +5.3% |
| 66 | Monroe County | 383,990 | +1.4% |
| 67 | Collin County | 380,419 | +4.3% |
| 68 | Fresno County | 374,939 | +2.8% |
| 69 | Baltimore County | 373,523 | +0.8% |
| 70 | Jackson County | 363,137 | +1.4% |
| 71 | Contra Costa County | 359,242 | +3.6% |
| 72 | Pima County | 358,682 | +1.3% |
| 73 | Norfolk County | 349,730 | +2.1% |
| 74 | Tulsa County | 349,471 | 0% |
| 75 | Cobb County | 345,651 | +3.9% |
| 76 | Gwinnett County | 342,828 | +2.5% |
| 77 | Jefferson County | 340,512 | +0.7% |
| 78 | Worcester County | 340,503 | +1.9% |
| 79 | Johnson County | 337,859 | +0.9% |
| 80 | Baltimore city | 337,194 | +0.9% |
| 81 | Douglas County | 336,971 | +1.4% |
| 82 | Essex County | 336,420 | +0.9% |
| 83 | Lake County | 332,564 | +0.4% |
| 84 | Dane County | 329,751 | +2.3% |
| 85 | Ramsey County | 327,317 | +0.1% |
| 86 | Bernalillo County | 324,566 | +1.8% |
| 87 | Essex County | 322,726 | +1.1% |
| 88 | Arapahoe County | 321,758 | +1.7% |
| 89 | Macomb County | 320,677 | +1.9% |
| 90 | Ventura County | 319,053 | +1% |
| 91 | Kern County | 314,213 | +0.7% |
| 92 | Prince George's County | 312,033 | +1.9% |
| 93 | Bronx County | 299,438 | +0.2% |
| 94 | El Paso County | 296,977 | +2.1% |
| 95 | Pierce County | 295,451 | +3.5% |
| 96 | Polk County | 294,984 | +2.2% |
| 97 | DeKalb County | 294,582 | +1.2% |
| 98 | New Castle County | 286,566 | +0.4% |
| 99 | Morris County | 285,590 | +0.6% |
| 100 | Providence County | 283,429 | +0.7% |
| 101 | Snohomish County | 283,295 | +2.8% |
| 102 | Washington County | 283,114 | +3% |
| 103 | Guilford County | 278,182 | +1% |
| 104 | East Baton Rouge Parish | 268,133 | -0.3% |
| 105 | Anne Arundel County | 267,653 | +2.8% |
| 106 | Summit County | 266,282 | +0.8% |
| 107 | El Paso County | 263,521 | +2.7% |
| 108 | Greenville County | 262,325 | +2.2% |
| 109 | Bucks County | 259,721 | +1.8% |
| 110 | Monmouth County | 256,634 | +2% |
| 111 | Montgomery County | 252,750 | +1.4% |
| 112 | Hudson County | 252,557 | +4% |
| 113 | Lee County | 250,630 | +4.4% |
| 114 | Hidalgo County | 249,614 | +1.7% |
| 115 | Sedgwick County | 248,772 | +0.2% |
| 116 | Chester County | 248,027 | +1.7% |
| 117 | Pulaski County | 247,493 | +1% |
| 118 | Mercer County | 245,383 | +3.1% |
| 119 | Onondaga County | 243,700 | +0.8% |
| 120 | Charleston County | 241,962 | +2.8% |
| 121 | San Joaquin County | 239,314 | +3.3% |
| 122 | Waukesha County | 238,806 | +1.3% |
| 123 | Knox County | 235,681 | +2% |
| 124 | Lancaster County | 234,156 | +2.1% |
| 125 | Jefferson County | 233,337 | +2.2% |
| 126 | Albany County | 232,495 | +1.2% |
| 127 | Will County | 230,559 | +4.4% |
| 128 | Denton County | 227,819 | +4.2% |
| 129 | Ada County | 226,196 | +4.4% |
| 130 | St. Louis city | 225,643 | -0.1% |
| 131 | Bristol County | 223,466 | +1.7% |
| 132 | Utah County | 219,775 | +5.7% |
| 133 | Delaware County | 219,145 | +1% |
| 134 | Richland County | 217,303 | +1.9% |
| 135 | Union County | 217,047 | +0.6% |
| 136 | Spokane County | 215,023 | +2.7% |
| 137 | Washoe County | 209,985 | +4.2% |
| 138 | Lucas County | 209,850 | +1% |
| 139 | Polk County | 209,550 | +2.8% |
| 140 | Kane County | 207,883 | +0.7% |
| 141 | Hampden County | 207,091 | +2% |
| 142 | Washtenaw County | 206,162 | +1.8% |
| 143 | Sonoma County | 201,875 | +2.4% |
| 144 | Camden County | 201,214 | +2.9% |
| 145 | Brevard County | 201,065 | +3.4% |
| 146 | Burlington County | 200,809 | +2.1% |
| 147 | Hillsborough County | 199,731 | +1.5% |
| 148 | Adams County | 198,368 | +3.4% |
| 149 | Hamilton County | 196,794 | +2.2% |
| 150 | Durham County | 195,657 | +2.3% |
| 151 | Santa Barbara County | 194,999 | +0.6% |
| 152 | Orleans Parish | 193,474 | +0.7% |
| 153 | Jefferson Parish | 193,457 | -0.6% |
| 154 | Fayette County | 192,405 | +1.4% |
| 155 | Madison County | 191,678 | +2.7% |
| 156 | Henrico County | 189,377 | +1.3% |
| 157 | Plymouth County | 189,237 | +1.6% |
| 158 | Monterey County | 188,586 | +2% |
| 159 | Dakota County | 186,981 | +1.7% |
| 160 | Lake County | 186,812 | +0.5% |
| 161 | Lehigh County | 186,616 | +1.6% |
| 162 | Somerset County | 184,061 | +1.7% |
| 163 | Stanislaus County | 183,977 | +2.7% |
| 164 | Allen County | 183,107 | +0.7% |
| 165 | Seminole County | 183,001 | +5.1% |
| 166 | Forsyth County | 182,389 | +1.1% |
| 167 | Dauphin County | 179,997 | +1.3% |
| 168 | Cumberland County | 178,895 | +1.7% |
| 169 | Boulder County | 176,652 | +2.3% |
| 170 | Virginia Beach city | 176,470 | +1.6% |
| 171 | York County | 176,421 | +1.5% |
| 172 | Fort Bend County | 173,591 | +2.2% |
| 173 | Arlington County | 172,888 | +1.5% |
| 174 | Berks County | 170,657 | +0.7% |
| 175 | Mobile County | 169,094 | +1% |
| 176 | Montgomery County | 168,572 | +2.1% |
| 177 | Lancaster County | 168,495 | +1.5% |
| 178 | Howard County | 168,168 | +1.8% |
| 179 | Volusia County | 167,484 | +4.3% |
| 180 | Passaic County | 165,631 | +1% |
| 181 | Sarasota County | 163,533 | +2.8% |
| 182 | Greene County | 162,887 | +1% |
| 183 | Ocean County | 162,187 | +1.9% |
| 184 | Nueces County | 161,769 | -0.8% |
| 185 | Tulare County | 160,995 | +3.2% |
| 186 | Loudoun County | 159,753 | +3.4% |
| 187 | Williamson County | 158,526 | +5% |
| 188 | Stark County | 158,204 | +0.1% |
| 189 | Clackamas County | 157,789 | +4.4% |
| 190 | Placer County | 156,271 | +5.2% |
| 191 | Brown County | 153,891 | +1.4% |
| 192 | Richmond city | 153,128 | +2.3% |
| 193 | Larimer County | 153,102 | +3.8% |
| 194 | Lane County | 151,396 | +3.1% |
| 195 | Anchorage Municipality | 151,070 | -1.8% |
| 196 | Butler County | 150,345 | +3.5% |
| 197 | Ingham County | 149,623 | +2.1% |
| 198 | Marion County | 149,278 | +2.8% |
| 199 | Chatham County | 149,090 | +2.5% |
| 200 | Clark County | 149,070 | +3.3% |
| 201 | Rockingham County | 146,932 | +2.3% |
| 202 | Leon County | 146,254 | +2.5% |
| 203 | St. Charles County | 143,850 | +3.1% |
| 204 | Luzerne County | 143,619 | +0.9% |
| 205 | Collier County | 140,728 | +4.7% |
| 206 | Orange County | 140,467 | +1.1% |
| 207 | Norfolk city | 140,246 | +0.3% |
| 208 | Cameron County | 138,490 | +1.5% |
| 209 | Lubbock County | 137,296 | +2.4% |
| 210 | Hamilton County | 136,859 | +3.3% |
| 211 | Solano County | 135,792 | +3.7% |
| 212 | Chesterfield County | 134,066 | +2.2% |
| 213 | Genesee County | 133,469 | +0.8% |
| 214 | Westmoreland County | 132,976 | -0% |
| 215 | Cumberland County | 132,087 | +1.1% |
| 216 | Spartanburg County | 131,655 | +3.7% |
| 217 | Montgomery County | 131,172 | +1.7% |
| 218 | Lafayette Parish | 130,217 | -5.4% |
| 219 | Escambia County | 130,114 | +3.2% |
| 220 | Linn County | 129,649 | +0.4% |
| 221 | Sangamon County | 128,646 | -0.7% |
| 222 | Elkhart County | 127,535 | +2.9% |
| 223 | Buncombe County | 127,316 | +2.8% |
| 224 | Winnebago County | 127,007 | -0.3% |
| 225 | Alachua County | 126,846 | +2.8% |
| 226 | Prince William County | 126,283 | +3% |
| 227 | Atlantic County | 124,840 | -0.1% |
| 228 | Minnehaha County | 124,333 | +1.2% |
| 229 | Williamson County | 123,592 | +7.3% |
| 230 | St. Joseph County | 122,570 | +2.1% |
| 231 | Erie County | 122,533 | -1.7% |
| 232 | Jefferson County | 122,507 | -1.1% |
| 233 | Ottawa County | 122,467 | +2.2% |
| 234 | Horry County | 122,156 | +3.3% |
| 235 | Rockland County | 121,227 | +2.6% |
| 236 | Anoka County | 121,026 | +2.1% |
| 237 | Hinds County | 121,018 | +0.5% |
| 238 | Davis County | 120,916 | +2.2% |
| 239 | Clayton County | 120,544 | +2.7% |
| 240 | Cumberland County | 119,025 | +1.7% |
| 241 | Rutherford County | 118,753 | +2.6% |
| 242 | Manatee County | 118,423 | +2.8% |
| 243 | Kalamazoo County | 117,002 | +2.1% |
| 244 | Cass County | 116,890 | +1% |
| 245 | Douglas County | 116,821 | +3.5% |
| 246 | Bell County | 116,479 | +1.1% |
| 247 | Lexington County | 116,084 | +2.6% |
| 248 | Richmond County | 115,173 | +1.6% |
| 249 | Benton County | 114,646 | +4.7% |
| 250 | San Luis Obispo County | 114,421 | +0.2% |
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 2016 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/2016/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), 2016) [Data set]. Retrieved October 12, 2026, from https://data.bls.gov/cew/data/api/2016/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), 2016. U.S. Bureau of Labor Statistics, 21 Aug. 2026, https://data.bls.gov/cew/data/api/2016/a/industry/10.csv. Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2016. 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), 2016. Dataset. Accessed October 12, 2026. https://data.bls.gov/cew/data/api/2016/a/industry/10.csv. Also distributed by Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2016.
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), 2016 [Dataset]. Available at: https://data.bls.gov/cew/data/api/2016/a/industry/10.csv, via Invokely: https://invokely.ai/rankings/covered-employment/us-counties?period=2016 (Accessed: 12 October 2026).
BibTeX
@misc{bureau_us_counties_by_covered_2016,
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), 2016}},
year = {2026},
howpublished = {Data set},
url = {https://data.bls.gov/cew/data/api/2016/a/industry/10.csv},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2016. 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/2016/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), 2016
PY - 2026
DA - 2026/08/21
PB - U.S. Bureau of Labor Statistics
DB - Invokely
UR - https://data.bls.gov/cew/data/api/2016/a/industry/10.csv
L2 - https://invokely.ai/rankings/covered-employment/us-counties?period=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/covered-employment/us-counties?period=2016.
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/2016/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 4,344,132 jobs in 2016, according to the U.S. Bureau of Labor Statistics.
Which county has the lowest covered employment (QCEW)?
Loving County, with 74 jobs in 2016.
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 2016 and are not ranked.