Updated April 2026 · FBI UCR 2023
Larceny-Theft Rates by City (2023)
Larceny-theft rates per 100,000 residents, the most common property crime
Per-capita larceny-theft rates from FBI Uniform Crime Reporting data, with the U.S. national average of 1,402/100K shown alongside every city. Of 248 U.S. cities tracked here, 88 report rates above the national average and 160 below.
What the FBI Counts as Larceny-Theft
Larceny-theft is the unlawful taking of property without the use of force, violence, or fraud. It is the most common of the FBI Part I offenses by volume — typically the largest single component of any city's property crime rate — and includes shoplifting, pickpocketing, theft from motor vehicles (but not motor vehicle theft itself), and bicycle theft. Larceny-theft rates correlate strongly with retail density and pedestrian traffic patterns.
National Pattern for Larceny-Theft
The U.S. national larceny-theft rate is 1,402 per 100,000 residents — the highest of the FBI Part I offenses by volume. Larceny-theft tracks retail density, pedestrian traffic, and tourist activity. Cities with major shopping districts, dense urban cores, and high day-time populations tend to report higher larceny rates simply because there are more transactions and more opportunities. Per-capita rates can therefore exaggerate the experience of long-term residents.
How to Read Larceny-Theft Rates by City
Read larceny rates alongside retail density. A city with high larceny concentrated in a tourist district or major mall area has a very different read than one where larceny is distributed across residential blocks. The category overlaps with property-crime perceptions but is rarely the source of personal-safety concern in residential settings.
City-level rates always smooth over neighborhood-level variation. A useful complement is your local police department's open-data portal, which usually publishes district- or beat-level offense counts. The FBI Crime Data Explorer is the canonical source for the figures shown below; the Bureau of Justice Statistics publishes additional context on the share of larceny-theft that goes unreported to police.
Cohort Ranked by Larceny-Theft Rate
| # | City | Population | Larceny-Theft/100K | vs National | Safety Score |
|---|---|---|---|---|---|
| 1 | Oklahoma City, OK | 681K | 2,061 | +47% | C |
| 2 | Kansas City, MO | 508K | 2,018 | +44% | C |
| 3 | Norfolk, VA | 238K | 1,961 | +40% | C |
| 4 | Dallas, TX | 1.3M | 1,934 | +38% | D |
| 5 | San Diego, CA | 1.4M | 1,898 | +35% | C |
| 6 | Moreno Valley, CA | 212K | 1,881 | +34% | C |
| 7 | Durham, NC | 284K | 1,881 | +34% | C |
| 8 | Seattle, WA | 749K | 1,857 | +32% | C |
| 9 | San Bernardino, CA | 222K | 1,842 | +31% | C |
| 10 | Denver, CO | 716K | 1,810 | +29% | D |
| 11 | Virginia Beach, VA | 459K | 1,804 | +29% | C |
| 12 | Evansville, IN | 117K | 1,774 | +27% | C |
| 13 | Lakewood, CO | 156K | 1,774 | +27% | C |
| 14 | Las Vegas, NV | 647K | 1,770 | +26% | B |
| 15 | San Antonio, TX | 1.5M | 1,770 | +26% | C |
| 16 | Boise, ID | 236K | 1,765 | +26% | C |
| 17 | Wichita, KS | 398K | 1,765 | +26% | D |
| 18 | Corpus Christi, TX | 318K | 1,765 | +26% | D |
| 19 | Washington, DC | 690K | 1,738 | +24% | C |
| 20 | Salt Lake City, UT | 200K | 1,738 | +24% | C |
| 21 | Gainesville, FL | 141K | 1,738 | +24% | C |
| 22 | Salem, OR | 179K | 1,738 | +24% | D |
| 23 | Murrieta, CA | 113K | 1,738 | +24% | D |
| 24 | Scottsdale, AZ | 241K | 1,733 | +24% | B |
| 25 | Montgomery, AL | 201K | 1,728 | +23% | D |
| 26 | Torrance, CA | 144K | 1,702 | +21% | C |
| 27 | Corona, CA | 157K | 1,702 | +21% | D |
| 28 | Simi Valley, CA | 127K | 1,702 | +21% | D |
| 29 | Toledo, OH | 271K | 1,696 | +21% | C |
| 30 | Jacksonville, FL | 955K | 1,691 | +21% | D |
| 31 | Mesa, AZ | 504K | 1,691 | +21% | D |
| 32 | Miramar, FL | 135K | 1,667 | +19% | C |
| 33 | Aurora, CO | 386K | 1,653 | +18% | B |
| 34 | Nashville, TN | 689K | 1,648 | +18% | B |
| 35 | Fort Worth, TX | 919K | 1,648 | +18% | D |
| 36 | Clearwater, FL | 117K | 1,632 | +16% | C |
| 37 | Columbia, MO | 126K | 1,632 | +16% | D |
| 38 | Paterson, NJ | 160K | 1,632 | +16% | D |
| 39 | Hampton, VA | 137K | 1,632 | +16% | D |
| 40 | Los Angeles, CA | 4.0M | 1,623 | +16% | C |
| 41 | Oakland, CA | 433K | 1,623 | +16% | C |
| 42 | Frisco, TX | 201K | 1,623 | +16% | C |
| 43 | Cincinnati, OH | 309K | 1,616 | +15% | B |
| 44 | Huntsville, AL | 215K | 1,616 | +15% | B |
| 45 | Fresno, CA | 542K | 1,611 | +15% | D |
| 46 | Charleston, SC | 150K | 1,597 | +14% | B |
| 47 | Thousand Oaks, CA | 127K | 1,597 | +14% | D |
| 48 | Omaha, NE | 486K | 1,587 | +13% | B |
| 49 | Boston, MA | 676K | 1,586 | +13% | C |
| 50 | Oxnard, CA | 202K | 1,580 | +13% | D |
| 51 | San Jose, CA | 1.0M | 1,574 | +12% | B |
| 52 | Hartford, CT | 121K | 1,568 | +12% | B |
| 53 | League City, TX | 115K | 1,568 | +12% | B |
| 54 | Rancho Cucamonga, CA | 178K | 1,563 | +11% | B |
| 55 | Lakeland, FL | 113K | 1,563 | +11% | B |
| 56 | Lewisville, TX | 112K | 1,563 | +11% | B |
| 57 | Concord, CA | 129K | 1,563 | +11% | D |
| 58 | Lansing, MI | 113K | 1,563 | +11% | D |
| 59 | Independence, MO | 123K | 1,563 | +11% | D |
| 60 | Buffalo, NY | 278K | 1,552 | +11% | D |
| 61 | Riverside, CA | 315K | 1,544 | +10% | B |
| 62 | Irvine, CA | 308K | 1,544 | +10% | B |
| 63 | Chicago, IL | 2.7M | 1,537 | +10% | B |
| 64 | Sioux Falls, SD | 193K | 1,534 | +9% | C |
| 65 | Bellevue, WA | 152K | 1,534 | +9% | C |
| 66 | Tampa, FL | 400K | 1,517 | +8% | C |
| 67 | Charlotte, NC | 875K | 1,512 | +8% | C |
| 68 | Baton Rouge, LA | 228K | 1,508 | +8% | B |
| 69 | Winston-Salem, NC | 250K | 1,505 | +7% | C |
| 70 | Phoenix, AZ | 1.7M | 1,501 | +7% | C |
| 71 | Midland, TX | 138K | 1,501 | +7% | C |
| 72 | Knoxville, TN | 191K | 1,495 | +7% | B |
| 73 | Denton, TX | 148K | 1,495 | +7% | B |
| 74 | Newark, NJ | 312K | 1,482 | +6% | C |
| 75 | Miami, FL | 442K | 1,473 | +5% | B |
| 76 | Cleveland, OH | 373K | 1,471 | +5% | C |
| 77 | New York, NY | 8.3M | 1,466 | +5% | C |
| 78 | Beaumont, TX | 115K | 1,462 | +4% | B |
| 79 | Memphis, TN | 633K | 1,440 | +3% | B |
| 80 | Vallejo, CA | 122K | 1,436 | +2% | A |
| 81 | Visalia, CA | 141K | 1,436 | +2% | A |
| 82 | Norman, OK | 128K | 1,436 | +2% | C |
| 83 | Sunnyvale, CA | 156K | 1,436 | +2% | C |
| 84 | Cary, NC | 175K | 1,429 | +2% | B |
| 85 | Ontario, CA | 175K | 1,429 | +2% | C |
| 86 | Manchester, NH | 116K | 1,429 | +2% | C |
| 87 | Providence, RI | 191K | 1,404 | +0% | C |
| 88 | Orlando, FL | 308K | 1,404 | +0% | B |
| 89 | Tucson, AZ | 543K | 1,398 | -0% | B |
| 90 | Fargo, ND | 126K | 1,397 | -0% | B |
| 91 | Cape Coral, FL | 194K | 1,397 | -0% | C |
| 92 | Sacramento, CA | 525K | 1,396 | -0% | C |
| 93 | Casper, WY | 59K | 1,373 | -2% | C |
| 94 | Tallahassee, FL | 196K | 1,372 | -2% | C |
| 95 | Centennial, CO | 108K | 1,372 | -2% | C |
| 96 | Reno, NV | 264K | 1,371 | -2% | C |
| 97 | El Paso, TX | 679K | 1,370 | -2% | B |
| 98 | Columbus, OH | 906K | 1,370 | -2% | B |
| 99 | Albuquerque, NM | 565K | 1,370 | -2% | D |
| 100 | Killeen, TX | 153K | 1,365 | -3% | B |
| 101 | Joliet, IL | 150K | 1,365 | -3% | C |
| 102 | Philadelphia, PA | 1.6M | 1,364 | -3% | B |
| 103 | Houston, TX | 2.3M | 1,361 | -3% | B |
| 104 | Savannah, GA | 148K | 1,361 | -3% | B |
| 105 | Surprise, AZ | 142K | 1,361 | -3% | B |
| 106 | Louisville, KY | 629K | 1,361 | -3% | C |
| 107 | Baltimore, MD | 586K | 1,361 | -3% | C |
| 108 | Palmdale, CA | 169K | 1,361 | -3% | C |
| 109 | New Orleans, LA | 384K | 1,348 | -4% | D |
| 110 | Gilbert, AZ | 268K | 1,348 | -4% | D |
| 111 | Elk Grove, CA | 176K | 1,341 | -4% | C |
| 112 | Overland Park, KS | 197K | 1,341 | -4% | C |
| 113 | Sparks, NV | 108K | 1,341 | -4% | D |
| 114 | Pittsburgh, PA | 303K | 1,338 | -5% | C |
| 115 | Sterling Heights, MI | 134K | 1,333 | -5% | B |
| 116 | Shreveport, LA | 188K | 1,333 | -5% | C |
| 117 | Portland, OR | 653K | 1,328 | -5% | B |
| 118 | Murfreesboro, TN | 153K | 1,310 | -7% | B |
| 119 | Bridgeport, CT | 149K | 1,310 | -7% | B |
| 120 | Fishers, IN | 101K | 1,310 | -7% | B |
| 121 | Long Beach, CA | 467K | 1,306 | -7% | C |
| 122 | St. Louis, MO | 302K | 1,306 | -7% | C |
| 123 | College Station, TX | 121K | 1,300 | -7% | B |
| 124 | Colorado Springs, CO | 479K | 1,283 | -9% | D |
| 125 | Santa Ana, CA | 309K | 1,283 | -9% | D |
| 126 | Chandler, AZ | 276K | 1,283 | -9% | D |
| 127 | Santa Clarita, CA | 229K | 1,283 | -9% | D |
| 128 | Akron, OH | 190K | 1,279 | -9% | B |
| 129 | McKinney, TX | 195K | 1,279 | -9% | D |
| 130 | Alexandria, VA | 159K | 1,279 | -9% | D |
| 131 | Garland, TX | 246K | 1,277 | -9% | D |
| 132 | Little Rock, AR | 203K | 1,277 | -9% | D |
| 133 | North Las Vegas, NV | 263K | 1,274 | -9% | C |
| 134 | Fremont, CA | 231K | 1,274 | -9% | C |
| 135 | Lancaster, CA | 174K | 1,270 | -9% | B |
| 136 | Chula Vista, CA | 275K | 1,251 | -11% | B |
| 137 | Laredo, TX | 255K | 1,251 | -11% | B |
| 138 | Glendale, AZ | 248K | 1,251 | -11% | B |
| 139 | Fontana, CA | 215K | 1,251 | -11% | D |
| 140 | Bakersfield, CA | 403K | 1,246 | -11% | B |
| 141 | Green Bay, WI | 107K | 1,240 | -12% | B |
| 142 | Warwick, RI | 83K | 1,228 | -12% | B |
| 143 | Tulsa, OK | 413K | 1,215 | -13% | B |
| 144 | Raleigh, NC | 468K | 1,215 | -13% | D |
| 145 | Greensboro, NC | 299K | 1,215 | -13% | D |
| 146 | Birmingham, AL | 201K | 1,212 | -14% | A |
| 147 | Spokane, WA | 229K | 1,212 | -14% | C |
| 148 | Jackson, MS | 154K | 1,211 | -14% | B |
| 149 | Peoria, IL | 113K | 1,211 | -14% | B |
| 150 | San Francisco, CA | 874K | 1,196 | -15% | C |
| 151 | Brownsville, TX | 187K | 1,190 | -15% | B |
| 152 | Pembroke Pines, FL | 171K | 1,190 | -15% | C |
| 153 | Henderson, NV | 320K | 1,184 | -16% | B |
| 154 | New Haven, CT | 134K | 1,182 | -16% | C |
| 155 | Ann Arbor, MI | 124K | 1,182 | -16% | C |
| 156 | Abilene, TX | 124K | 1,182 | -16% | C |
| 157 | Macon, GA | 157K | 1,182 | -16% | C |
| 158 | Lakewood, NJ | 135K | 1,182 | -16% | C |
| 159 | Clovis, CA | 120K | 1,182 | -16% | C |
| 160 | Plano, TX | 285K | 1,182 | -16% | C |
| 161 | Austin, TX | 979K | 1,164 | -17% | C |
| 162 | Topeka, KS | 127K | 1,160 | -17% | B |
| 163 | Oceanside, CA | 176K | 1,153 | -18% | C |
| 164 | West Jordan, UT | 117K | 1,153 | -18% | C |
| 165 | Tacoma, WA | 219K | 1,151 | -18% | C |
| 166 | Cheyenne, WY | 65K | 1,136 | -19% | C |
| 167 | Pasadena, TX | 152K | 1,132 | -19% | B |
| 168 | Mobile, AL | 187K | 1,132 | -19% | B |
| 169 | Round Rock, TX | 133K | 1,127 | -20% | C |
| 170 | Minneapolis, MN | 430K | 1,125 | -20% | B |
| 171 | Worcester, MA | 207K | 1,125 | -20% | B |
| 172 | Lubbock, TX | 264K | 1,121 | -20% | C |
| 173 | Edmond, OK | 100K | 1,118 | -20% | B |
| 174 | Milwaukee, WI | 577K | 1,106 | -21% | B |
| 175 | Naperville, IL | 150K | 1,099 | -22% | B |
| 176 | Palm Bay, FL | 120K | 1,099 | -22% | B |
| 177 | Billings, MT | 117K | 1,099 | -22% | B |
| 178 | Pasadena, CA | 139K | 1,097 | -22% | A |
| 179 | Richmond, VA | 227K | 1,092 | -22% | B |
| 180 | Atlanta, GA | 499K | 1,092 | -22% | D |
| 181 | Pomona, CA | 151K | 1,072 | -24% | B |
| 182 | Clarksville, TN | 167K | 1,072 | -24% | C |
| 183 | Grand Rapids, MI | 199K | 1,069 | -24% | C |
| 184 | Carrollton, TX | 133K | 1,069 | -24% | C |
| 185 | Port St. Lucie, FL | 205K | 1,067 | -24% | B |
| 186 | Hialeah, FL | 223K | 1,067 | -24% | B |
| 187 | Jersey City, NJ | 292K | 1,067 | -24% | C |
| 188 | Arlington, TX | 394K | 1,063 | -24% | B |
| 189 | Indianapolis, IN | 888K | 1,046 | -25% | C |
| 190 | Peoria, AZ | 191K | 1,042 | -26% | B |
| 191 | Provo, UT | 115K | 1,042 | -26% | B |
| 192 | Stockton, CA | 321K | 1,038 | -26% | B |
| 193 | Fayetteville, NC | 209K | 1,038 | -26% | B |
| 194 | Anaheim, CA | 350K | 1,038 | -26% | C |
| 195 | Fort Wayne, IN | 264K | 1,038 | -26% | C |
| 196 | Charleston, WV | 47K | 1,038 | -26% | C |
| 197 | West Palm Beach, FL | 117K | 1,018 | -27% | B |
| 198 | Springfield, IL | 114K | 1,018 | -27% | B |
| 199 | Hayward, CA | 163K | 1,018 | -27% | C |
| 200 | Escondido, CA | 151K | 1,015 | -28% | B |
| 201 | Meridian, ID | 118K | 1,015 | -28% | B |
| 202 | Yonkers, NY | 212K | 1,010 | -28% | C |
| 203 | Roseville, CA | 148K | 991.1 | -29% | C |
| 204 | Victorville, CA | 135K | 991.1 | -29% | C |
| 205 | Westminster, CO | 116K | 988 | -30% | B |
| 206 | Arvada, CO | 124K | 988 | -30% | B |
| 207 | Boulder, CO | 106K | 988 | -30% | B |
| 208 | Broken Arrow, OK | 114K | 988 | -30% | D |
| 209 | Cedar Rapids, IA | 138K | 988 | -30% | D |
| 210 | Springfield, MA | 156K | 988 | -30% | D |
| 211 | Chesapeake, VA | 249K | 982.4 | -30% | C |
| 212 | St. Petersburg, FL | 258K | 982.4 | -30% | C |
| 213 | Tempe, AZ | 181K | 965 | -31% | B |
| 214 | Waco, TX | 138K | 965 | -31% | B |
| 215 | Coral Springs, FL | 134K | 965 | -31% | B |
| 216 | Dayton, OH | 138K | 961.7 | -31% | B |
| 217 | Thornton, CO | 142K | 961.7 | -31% | D |
| 218 | Bismarck, ND | 74K | 958.7 | -32% | B |
| 219 | Anchorage, AK | 291K | 955.1 | -32% | B |
| 220 | Des Moines, IA | 214K | 955.1 | -32% | B |
| 221 | Rochester, NY | 211K | 955.1 | -32% | B |
| 222 | Lexington, KY | 323K | 955.1 | -32% | C |
| 223 | Lincoln, NE | 291K | 955.1 | -32% | C |
| 224 | Rapid City, SD | 78K | 932 | -34% | B |
| 225 | Bangor, ME | 32K | 932 | -34% | D |
| 226 | Madison, WI | 270K | 928.1 | -34% | C |
| 227 | Amarillo, TX | 200K | 928.1 | -34% | C |
| 228 | Nampa, ID | 100K | 913.9 | -35% | B |
| 229 | Newport News, VA | 186K | 913.9 | -35% | C |
| 230 | Eugene, OR | 177K | 913.9 | -35% | C |
| 231 | Bend, OR | 99K | 907.9 | -35% | B |
| 232 | Augusta, GA | 202K | 901.6 | -36% | C |
| 233 | Federal Way, WA | 101K | 888.8 | -37% | C |
| 234 | Rockford, IL | 149K | 888.8 | -37% | C |
| 235 | Modesto, CA | 218K | 875.4 | -38% | A |
| 236 | Honolulu, HI | 351K | 875.4 | -38% | C |
| 237 | Irving, TX | 257K | 875.4 | -38% | C |
| 238 | Tyler, TX | 106K | 864.1 | -38% | C |
| 239 | Burlington, VT | 45K | 863.4 | -38% | B |
| 240 | Tuscaloosa, AL | 100K | 840.4 | -40% | C |
| 241 | Wilmington, NC | 115K | 839.7 | -40% | A |
| 242 | Springfield, MO | 169K | 839.7 | -40% | C |
| 243 | Columbia, SC | 137K | 815.7 | -42% | C |
| 244 | Pueblo, CO | 112K | 792 | -44% | A |
| 245 | Chattanooga, TN | 181K | 792 | -44% | B |
| 246 | Garden Grove, CA | 173K | 792 | -44% | B |
| 247 | Pearland, TX | 126K | 792 | -44% | B |
| 248 | Santa Rosa, CA | 178K | 792 | -44% | B |
All rates per 100,000 residents. National average: 1,402/100K. Source: FBI UCR 2023, accessed via the FBI Crime Data Explorer.
How Larceny-Theft Fits Into the Safety Context Score
The Safety Context Score combines three FBI UCR signals: per-capita violent crime versus the U.S. average (40%), per-capita property crime versus the U.S. average (30%), and the direction of the 5-year trend (30%). Larceny-Theft is part of the property crime composite, so a city's larceny-theft rate flows into one of the two crime-rate components alongside the other offenses in that group. Read the full methodology.
Frequently Asked Questions
What does the FBI count as larceny-theft?
Larceny-theft is the unlawful taking of property without the use of force, violence, or fraud. It is the most common of the FBI Part I offenses by volume — typically the largest single component of any city's property crime rate — and includes shoplifting, pickpocketing, theft from motor vehicles (but not motor vehicle theft itself), and bicycle theft. Larceny-theft rates correlate strongly with retail density and pedestrian traffic patterns.
What is the national average larceny-theft rate?
The U.S. national larceny-theft rate is 1,402 per 100,000 residents according to the most recent FBI UCR estimates. 88 of the 248 cities tracked here report rates above that average; 160 report rates below it. The U.S. rate itself is computed from the FBI's annual estimates that adjust for non-reporting agencies.
Why use per-capita rates instead of total larceny-theft counts?
Total counts unfairly penalize larger cities. A city of two million residents reporting more total larceny-theft incidents than a city of 50,000 is almost always safer per resident, but the raw count makes the larger city look worse. Per 100,000 residents — the FBI's standard unit — is the only fair basis for cross-city comparison.
How does larceny-theft fit into the Safety Context Score?
Larceny-Theft is part of the property crime composite, which contributes 30% of the Safety Context Score. Property crime — burglary, larceny-theft, and motor vehicle theft combined — is weighted less than violent crime because the per-incident impact is lower, even though it's far more common in absolute terms. The 5-year trend direction contributes another 30%.
Where can I verify these numbers?
Every figure traces back to the FBI Uniform Crime Reporting program, accessible at the FBI Crime Data Explorer (cde.ucr.cjis.gov). Population denominators come from U.S. Census Bureau estimates. The Bureau of Justice Statistics (bjs.ojp.gov) publishes complementary unreported-crime context through the National Crime Victimization Survey. The data is public domain.
Source: Federal Bureau of Investigation, Uniform Crime Reporting Program (2023), accessed via the FBI Crime Data Explorer. Population denominators from the U.S. Census Bureau Population Estimates Program. Reporting context from the Bureau of Justice Statistics. Public domain.
Last refreshed 2026-04-06 · All rates per 100,000 residents.