US cities by unemployed people
New York, NY had the highest unemployed people of 1633 cities in 2019, at 170,179. Somersworth, NH had the lowest, at 148. The median was 857. Source: the U.S. Bureau of Labor Statistics.
Top 40 cities, 2019
Full ranking
| Rank | Cities | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | New York, NY | 170,179 | -4% |
| 2 | Los Angeles, CA | 93,992 | -2.3% |
| 3 | Chicago, IL | 56,009 | -6% |
| 4 | Houston, TX | 42,749 | -12.8% |
| 5 | Philadelphia, PA | 39,767 | -2.8% |
| 6 | Phoenix, AZ | 34,647 | +2.6% |
| 7 | Dallas, TX | 23,280 | -8.1% |
| 8 | San Diego, CA | 22,050 | -4.1% |
| 9 | Detroit, MI | 21,714 | -3.3% |
| 10 | San Antonio, TX | 21,219 | -6.8% |
| 11 | Charlotte, NC | 17,982 | -3% |
| 12 | Columbus, OH | 17,302 | -4.4% |
| 13 | Jacksonville, FL | 16,035 | -7.8% |
| 14 | Fort Worth, TX | 14,934 | -4.5% |
| 15 | Indianapolis, IN | 14,821 | -5.3% |
| 16 | San Jose, CA | 14,798 | -2.8% |
| 17 | Austin, TX | 14,530 | -7.3% |
| 18 | Baltimore, MD | 14,035 | -12.7% |
| 19 | Las Vegas, NV | 13,890 | -5.2% |
| 20 | Fresno, CA | 13,611 | -1.3% |
| 21 | San Francisco, CA | 12,957 | -5.4% |
| 22 | Memphis, TN | 12,708 | -4.1% |
| 23 | Albuquerque, NM | 12,658 | +1.8% |
| 24 | Tucson, AZ | 12,307 | +4.3% |
| 25 | Portland, OR | 11,907 | -8.5% |
| 26 | Seattle, WA | 11,889 | -13.5% |
| 27 | Milwaukee, WI | 11,606 | +5.2% |
| 28 | Long Beach, CA | 11,207 | -2.3% |
| 29 | El Paso, TX | 11,019 | -10% |
| 30 | Boston, MA | 10,779 | -11.2% |
| 31 | Denver, CO | 10,747 | -9.7% |
| 32 | Mesa, AZ | 10,335 | +3.3% |
| 33 | Atlanta, GA | 9,984 | -9.6% |
| 34 | Oklahoma City, OK | 9,713 | -3% |
| 35 | Bakersfield, CA | 9,655 | -2.8% |
| 36 | Kansas City, MO | 9,287 | -0.7% |
| 37 | Sacramento, CA | 9,088 | -3.1% |
| 38 | Raleigh, NC | 9,056 | -1.1% |
| 39 | Stockton, CA | 9,022 | -1.9% |
| 40 | Omaha, NE | 8,532 | +5.4% |
| 41 | New Orleans, LA | 8,410 | -4.9% |
| 42 | Cleveland, OH | 8,389 | -12.3% |
| 43 | Calexico, CA | 8,098 | +39% |
| 44 | Oakland, CA | 7,391 | -2.6% |
| 45 | Colorado Springs, CO | 7,330 | -11.6% |
| 46 | Arlington, TX | 7,208 | -3.2% |
| 47 | Newark, NJ | 7,204 | -11.6% |
| 48 | Minneapolis, MN | 7,027 | +12.1% |
| 49 | Salinas, CA | 6,886 | -0.8% |
| 50 | Wichita, KS | 6,885 | -4.9% |
| 51 | Anchorage, AK | 6,869 | -10.7% |
| 52 | Pittsburgh, PA | 6,684 | -1% |
| 53 | Toledo, OH | 6,661 | -9.9% |
| 54 | Tampa, FL | 6,573 | -8.1% |
| 55 | San Luis, AZ | 6,510 | -1.5% |
| 56 | Henderson, NV | 6,439 | -3.3% |
| 57 | Spokane, WA | 6,386 | +7.5% |
| 58 | Tulsa, OK | 6,365 | -6.8% |
| 59 | Miami, FL | 6,312 | -20.5% |
| 60 | Cincinnati, OH | 6,301 | -4.3% |
| 61 | Greensboro, NC | 6,273 | -2.4% |
| 62 | Virginia Beach, VA | 6,265 | -6.7% |
| 63 | Corpus Christi, TX | 6,069 | -12.7% |
| 64 | Buffalo, NY | 5,982 | -6.3% |
| 65 | St. Louis, MO | 5,862 | -1.3% |
| 66 | Chandler, AZ | 5,682 | +2.2% |
| 67 | Aurora, CO | 5,679 | -12.2% |
| 68 | Riverside, CA | 5,561 | -4.1% |
| 69 | Lexington, KY | 5,487 | -1.3% |
| 70 | North Las Vegas, NV | 5,473 | -5.4% |
| 71 | Baton Rouge, LA | 5,401 | -1% |
| 72 | Glendale, AZ | 5,383 | +2% |
| 73 | Modesto, CA | 5,254 | -6.5% |
| 74 | Rochester, NY | 5,165 | -5.5% |
| 75 | Durham, NC | 5,135 | -2.2% |
| 76 | Anaheim, CA | 5,120 | -3.7% |
| 77 | Delano, CA | 5,104 | +2.5% |
| 78 | Gilbert, AZ | 5,078 | +4% |
| 79 | Jersey City, NJ | 5,064 | -13% |
| 80 | Santa Clarita, CA | 5,030 | -4% |
| 81 | Yuma, AZ | 5,023 | +4.4% |
| 82 | St. Paul, MN | 5,020 | +10.6% |
| 83 | Orlando, FL | 4,997 | -8.3% |
| 84 | Plano, TX | 4,986 | -7.5% |
| 85 | Scottsdale, AZ | 4,937 | +3.8% |
| 86 | Vancouver, WA | 4,827 | +6.3% |
| 87 | Reno, NV | 4,771 | +0.7% |
| 88 | Winston-Salem, NC | 4,731 | -3.8% |
| 89 | Oxnard, CA | 4,581 | -5.3% |
| 90 | Lincoln, NE | 4,538 | +8.6% |
| 91 | Lancaster, CA | 4,477 | -0.1% |
| 92 | Santa Ana, CA | 4,447 | -2.6% |
| 93 | Akron, OH | 4,398 | -6.2% |
| 94 | Rockford, IL | 4,397 | -4.4% |
| 95 | Chula Vista, CA | 4,391 | -2.1% |
| 96 | Brownsville, TX | 4,379 | -7.8% |
| 97 | Irving, TX | 4,325 | -8.3% |
| 98 | Yonkers, NY | 4,324 | -3.4% |
| 99 | Tempe, AZ | 4,315 | +6% |
| 100 | Glendale, CA | 4,268 | -6.3% |
| 101 | Garland, TX | 4,222 | -7.9% |
| 102 | Palmdale, CA | 4,187 | -2.2% |
| 103 | Fort Wayne, IN | 4,183 | +1.2% |
| 104 | Moreno Valley, CA | 4,174 | -1.9% |
| 105 | Irvine, CA | 4,173 | -3% |
| 106 | San Bernardino, CA | 4,172 | -6.9% |
| 107 | Shreveport, LA | 4,147 | -7.6% |
| 108 | Tacoma, WA | 4,141 | -13.6% |
| 109 | St. Petersburg, FL | 4,109 | -8.5% |
| 110 | Paterson, NJ | 4,070 | -12.5% |
| 111 | Laredo, TX | 4,068 | -0.8% |
| 112 | Fayetteville, NC | 4,044 | -3.7% |
| 113 | Aurora, IL | 3,981 | -10.8% |
| 114 | Providence, RI | 3,949 | -13.4% |
| 115 | Grand Rapids, MI | 3,941 | -1.9% |
| 116 | Peoria, AZ | 3,880 | +4.9% |
| 117 | Mobile, AL | 3,855 | -15.6% |
| 118 | Columbus, GA | 3,842 | -8.4% |
| 119 | Des Moines, IA | 3,832 | +8.3% |
| 120 | Jackson, MS | 3,823 | +8.6% |
| 121 | Springfield, MA | 3,821 | -10.8% |
| 121 | Warren, MI | 3,821 | +3.1% |
| 123 | Norfolk, VA | 3,808 | -6.4% |
| 124 | Richmond, VA | 3,799 | -7.9% |
| 125 | Madison, WI | 3,745 | +5.2% |
| 126 | Bridgeport, CT | 3,741 | -9.1% |
| 127 | Lubbock, TX | 3,712 | -7.1% |
| 128 | Joliet, IL | 3,648 | -5.6% |
| 129 | Grand Prairie, TX | 3,605 | -4.3% |
| 130 | Allentown, PA | 3,591 | -8.5% |
| 131 | Flint, MI | 3,523 | +1.6% |
| 132 | Fontana, CA | 3,518 | -6.3% |
| 133 | Chesapeake, VA | 3,515 | -5.7% |
| 133 | Worcester, MA | 3,515 | -10.7% |
| 135 | Tallahassee, FL | 3,459 | -6.7% |
| 136 | Birmingham, AL | 3,412 | -17.7% |
| 137 | Hartford, CT | 3,397 | -4.3% |
| 138 | Pomona, CA | 3,389 | -2% |
| 139 | Port St. Lucie, FL | 3,370 | -5.6% |
| 140 | Pasadena, TX | 3,323 | -14.1% |
| 141 | Boise City, ID | 3,220 | +2.8% |
| 142 | Little Rock, AR | 3,214 | -3.8% |
| 143 | Visalia, CA | 3,199 | +2.3% |
| 144 | McKinney, TX | 3,197 | -6.6% |
| 145 | Hialeah, FL | 3,191 | -22.7% |
| 146 | Salem, OR | 3,178 | -7.6% |
| 147 | Fort Lauderdale, FL | 3,161 | -9.1% |
| 148 | Eugene, OR | 3,157 | -8.3% |
| 149 | Porterville, CA | 3,152 | +1.6% |
| 150 | Pasadena, CA | 3,139 | 0% |
| 151 | Kansas City, KS | 3,137 | -8.5% |
| 152 | Montgomery, AL | 3,111 | -18% |
| 153 | Yakima, WA | 3,102 | +11.9% |
| 154 | Overland Park, KS | 3,099 | -1.3% |
| 155 | Newport News, VA | 3,087 | -5.5% |
| 156 | Burbank, CA | 3,082 | -3.3% |
| 157 | Huntington Beach, CA | 3,075 | -2.7% |
| 158 | Sterling Heights, MI | 3,062 | +3.2% |
| 159 | Chattanooga, TN | 3,052 | -2.5% |
| 160 | Fremont, CA | 3,035 | -4.9% |
| 161 | Frisco, TX | 3,032 | -3.3% |
| 162 | Syracuse, NY | 3,021 | -3.3% |
| 163 | Santa Maria, CA | 3,019 | -4.4% |
| 164 | Knoxville, TN | 2,996 | -0.2% |
| 165 | Huntsville, AL | 2,984 | -19.4% |
| 166 | Ontario, CA | 2,973 | -3.6% |
| 167 | Cape Coral, FL | 2,972 | -3.8% |
| 168 | Dayton, OH | 2,966 | -4.1% |
| 169 | Elgin, IL | 2,952 | -7.4% |
| 170 | Waterbury, CT | 2,921 | -9.5% |
| 171 | Torrance, CA | 2,892 | -4.7% |
| 172 | Cary, NC | 2,874 | -1.2% |
| 173 | Inglewood, CA | 2,850 | -3.2% |
| 174 | Spokane Valley, WA | 2,830 | +4.5% |
| 175 | Macon, GA | 2,827 | -11.8% |
| 176 | Elizabeth, NJ | 2,818 | -10.8% |
| 177 | McAllen, TX | 2,808 | -8.9% |
| 178 | Watsonville, CA | 2,800 | +1.2% |
| 179 | New Haven, CT | 2,789 | -11.1% |
| 179 | Oceanside, CA | 2,789 | -2% |
| 181 | Rancho Cucamonga, CA | 2,785 | -6.5% |
| 182 | Lansing, MI | 2,777 | -2% |
| 183 | Mesquite, TX | 2,758 | -8% |
| 184 | Salt Lake City, UT | 2,753 | -10.7% |
| 185 | Surprise, AZ | 2,706 | +3.2% |
| 186 | Peoria, IL | 2,687 | -11.8% |
| 187 | Pembroke Pines, FL | 2,684 | -7.3% |
| 188 | Victorville, CA | 2,647 | -2.6% |
| 189 | Elk Grove, CA | 2,645 | -2.4% |
| 190 | Beaumont, TX | 2,625 | -8.8% |
| 191 | Savannah, GA | 2,621 | -8.3% |
| 192 | Sioux Falls, SD | 2,616 | +2.4% |
| 193 | Baytown, TX | 2,608 | -17.4% |
| 194 | New Bedford, MA | 2,585 | -12.8% |
| 195 | Las Cruces, NM | 2,576 | +7.3% |
| 196 | Clarksville, TN | 2,571 | +0.5% |
| 196 | Hayward, CA | 2,571 | -1.1% |
| 198 | Santa Rosa, CA | 2,540 | -3.9% |
| 199 | Corona, CA | 2,539 | -6.8% |
| 200 | Waukegan, IL | 2,535 | -6.9% |
| 201 | Hollywood, FL | 2,529 | -9% |
| 202 | Garden Grove, CA | 2,527 | -5.9% |
| 203 | Amarillo, TX | 2,524 | -7.5% |
| 204 | Lafayette, LA | 2,519 | -4.9% |
| 205 | Reading, PA | 2,500 | +3.8% |
| 206 | Killeen, TX | 2,499 | -8.8% |
| 207 | Santa Monica, CA | 2,497 | -2.2% |
| 208 | El Centro, CA | 2,468 | -5.1% |
| 209 | Vallejo, CA | 2,430 | -5.6% |
| 210 | Downey, CA | 2,429 | -7.2% |
| 211 | Compton, CA | 2,426 | -3.2% |
| 211 | Yuba City, CA | 2,426 | +0.4% |
| 213 | Springfield, MO | 2,425 | +4.8% |
| 214 | West Covina, CA | 2,412 | -2.9% |
| 215 | Gainesville, FL | 2,410 | -8.5% |
| 215 | Hampton, VA | 2,410 | -7.7% |
| 217 | Carrollton, TX | 2,374 | -7.4% |
| 218 | Springfield, IL | 2,369 | -12.9% |
| 219 | Pasco, WA | 2,334 | +9.2% |
| 220 | Carson, CA | 2,333 | +0.3% |
| 221 | Kennewick, WA | 2,314 | +7.7% |
| 222 | High Point, NC | 2,310 | -3.9% |
| 223 | Rio Rancho, NM | 2,309 | +2.1% |
| 224 | Lakewood, CO | 2,308 | -9.9% |
| 225 | Naperville, IL | 2,306 | -4.9% |
| 226 | Bellingham, WA | 2,305 | +6.6% |
| 227 | Merced, CA | 2,300 | -0.8% |
| 228 | Fall River, MA | 2,292 | -9.1% |
| 229 | Independence, MO | 2,285 | -6.5% |
| 230 | Kent, WA | 2,282 | -13.9% |
| 230 | Miramar, FL | 2,282 | -7.6% |
| 232 | Norwalk, CA | 2,281 | -1.6% |
| 233 | Cedar Rapids, IA | 2,267 | +2.3% |
| 234 | Stamford, CT | 2,256 | -7.4% |
| 235 | Pontiac, MI | 2,255 | +0.3% |
| 236 | Fort Collins, CO | 2,245 | -9.9% |
| 237 | Topeka, KS | 2,243 | -4.1% |
| 238 | Wilmington, NC | 2,238 | -8% |
| 239 | Erie, PA | 2,218 | -6% |
| 240 | Trenton, NJ | 2,211 | -8.9% |
| 241 | Coral Springs, FL | 2,190 | -12.3% |
| 242 | Murfreesboro, TN | 2,189 | +0.2% |
| 243 | Madera, CA | 2,184 | +1.3% |
| 244 | El Monte, CA | 2,180 | -7.4% |
| 245 | Waco, TX | 2,176 | -6.7% |
| 246 | Denton, TX | 2,164 | -4.8% |
| 247 | Escondido, CA | 2,162 | -2.5% |
| 248 | Indio, CA | 2,161 | -3.7% |
| 249 | Lewisville, TX | 2,149 | -4.6% |
| 250 | Clovis, CA | 2,135 | -1.9% |
Other periods
About this ranking
Residents with no job who were available for work and had looked for work in the previous four weeks, or were waiting to be recalled from a layoff, annual average.
More on how it is measured
- People aged 16 and over by place of residence, from the Local Area Unemployment Statistics (LAUS) program of the U.S. Bureau of Labor Statistics.
- Active-duty military personnel and people living in institutions are excluded.
United States cities only for now. The survey definition, not a count of benefit claimants. BLS estimates cities by splitting county estimates with Census Bureau employment and population data and unemployment insurance claims, so city figures are less precise than state ones. BLS publishes cities of 25,000 or more, and smaller cities in New England.
Every value in the ranking comes from the same publisher and the same period, so the cities are compared on one definition. 73 cities with data in other periods have no value for 2019 and are left out rather than filled from another source. Equal values share a rank.
How to cite
U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average. https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19. Retrieved 2026-10-12.Citation styles
APA 7
U.S. Bureau of Labor Statistics. (2026). Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average (US cities by unemployed people, 2019) [Data set]. Retrieved October 12, 2026, from https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19
MLA 9
Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average, US cities by unemployed people, 2019. U.S. Bureau of Labor Statistics, 30 Sept. 2026, https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19. Invokely, https://invokely.ai/rankings/unemployed-people/us-cities?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
U.S. Bureau of Labor Statistics. 2026. Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average. US cities by unemployed people, 2019. Dataset. Accessed October 12, 2026. https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19. Also distributed by Invokely, https://invokely.ai/rankings/unemployed-people/us-cities?period=2019.
Harvard
U.S. Bureau of Labor Statistics (2026) Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average, US cities by unemployed people, 2019 [Dataset]. Available at: https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19, via Invokely: https://invokely.ai/rankings/unemployed-people/us-cities?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{bureau_us_cities_by_unemployed_2019,
author = {{U.S. Bureau of Labor Statistics}},
title = {{Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average: US cities by unemployed people, 2019}},
year = {2026},
howpublished = {Data set},
url = {https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/unemployed-people/us-cities?period=2019. Publisher attribution: U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average. https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - U.S. Bureau of Labor Statistics
TI - Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average: US cities by unemployed people, 2019
PY - 2026
DA - 2026/09/30
PB - U.S. Bureau of Labor Statistics
DB - Invokely
UR - https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19
L2 - https://invokely.ai/rankings/unemployed-people/us-cities?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/unemployed-people/us-cities?period=2019.
N1 - Publisher attribution: U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average. https://download.bls.gov/pub/time.series/la/la.data.0.CurrentU15-19. 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 cities by unemployed people using official data, and cite the source.
rank_places {"indicator":"unemployed_persons","level":"municipality","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=unemployed_persons&level=municipality&within=United%20States&limit=10Questions
Which city has the highest unemployed people?
New York, NY, with 170,179 in 2019, according to the U.S. Bureau of Labor Statistics.
Which city has the lowest unemployed people?
Somersworth, NH, with 148 in 2019.
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, Local Area Unemployment Statistics, cities and towns, not seasonally adjusted: unemployment (measure 04), annual average. Retrieved 2026-10-12. 73 cities have no value for 2019 and are not ranked.