All Cities in Maryland
Every one of the 72 Maryland cities that reported to the FBI Uniform Crime Reporting program in 2024, ranked by population with its violent and property crime rate per 100,000 and a safety grade. Open any city for the full breakdown, trend, and methodology.
| City | Population | Violent / 100K | Property / 100K | Grade |
|---|---|---|---|---|
| Baltimore | 566,632 | 1,606.2 | 4,157 | F |
| Frederick | 88,428 | 406 | 1,673.7 | C |
| Gaithersburg | 69,590 | 252.9 | 1,312 | B |
| Rockville | 67,285 | 150.1 | 1,523.4 | B |
| Bowie | 56,929 | 193.2 | 2,280 | B |
| Hagerstown | 43,563 | 713.9 | 2,463.1 | F |
| Annapolis | 40,446 | 808.5 | 2,094.2 | F |
| Salisbury | 33,205 | 954.7 | 3,005.6 | F |
| Laurel | 29,209 | 393.7 | 4,861.5 | D |
| Greenbelt | 24,193 | 648.9 | 4,377.3 | F |
| Westminster | 20,671 | 241.9 | 2,041.5 | C |
| Hyattsville | 20,506 | 687.6 | 3,340.5 | F |
| Cumberland | 18,661 | 460.9 | 3,928 | F |
| Aberdeen | 18,635 | 595.7 | 2,033.8 | F |
| Takoma Park | 17,418 | 539.7 | 7,073.1 | F |
| Easton | 17,268 | 399.6 | 1,980.5 | C |
| Elkton | 16,017 | 1,080.1 | 5,231.9 | F |
| Havre de Grace | 15,099 | 139.1 | 1,265 | A |
| New Carrollton | 13,312 | 293 | 1,645.1 | C |
| Cambridge | 13,205 | 545.2 | 3,188.2 | F |
| Ocean Pines | 12,233 | 32.7 | 327 | A+ |
| La Plata | 11,114 | 215.9 | 1,754.5 | B |
| Bel Air | 10,422 | 239.9 | 2,005.4 | C |
| Mount Airy | 9,966 | 321.1 | 1,023.5 | C |
| Bladensburg | 9,382 | 969.9 | 3,517.4 | F |
| Brunswick | 8,488 | 129.6 | 494.8 | A |
| Mount Rainier | 8,055 | 782.1 | 2,631.9 | F |
| Riverdale Park | 7,109 | 984.7 | 2,911.8 | F |
| Frostburg | 6,946 | 14.4 | 100.8 | A+ |
| Ocean City | 6,938 | 980.1 | 8,806.6 | F |
| Thurmont | 6,832 | 87.8 | 570.8 | A |
| Hampstead | 6,445 | 155.2 | 822.3 | A |
| Glenarden | 6,230 | 208.7 | 882.8 | B |
| Fruitland | 5,987 | 200.4 | 2,188.1 | B |
| Cheverly | 5,970 | 217.8 | 2,864.3 | C |
| District Heights | 5,769 | 780 | 1,681.4 | F |
| Chestertown | 5,616 | 231.5 | 1,851.9 | B |
| Manchester | 5,567 | 179.6 | 107.8 | A |
| Berlin | 5,443 | 73.5 | 900.2 | A |
| Denton | 5,025 | 358.2 | 3,024.9 | D |
| Centreville | 4,753 | 210.4 | 841.6 | B |
| Perryville | 4,509 | 354.8 | 2,217.8 | C |
| Sykesville | 4,444 | 67.5 | 540.1 | A |
| Pocomoke City | 4,433 | 541.4 | 2,864.9 | F |
| Seat Pleasant | 4,425 | 994.4 | 3,570.6 | F |
| North East | 4,189 | 477.4 | 1,909.8 | D |
| Capitol Heights | 3,926 | 458.5 | 1,044.3 | C |
| Boonsboro | 3,831 | 0 | 287.1 | A+ |
| Brentwood | 3,696 | 351.7 | 919.9 | C |
| Princess Anne | 3,568 | 1,597.5 | 5,241 | F |
| Berwyn Heights | 3,241 | 401.1 | 1,450.2 | C |
| Smithsburg | 3,205 | 62.4 | 468 | A+ |
| Federalsburg | 2,797 | 178.8 | 858.1 | A |
| Rising Sun | 2,780 | 107.9 | 647.5 | A |
| Forest Heights | 2,573 | 466.4 | 1,282.5 | C |
| Crisfield | 2,494 | 0 | 80.2 | A+ |
| University Park | 2,359 | 42.4 | 1,059.8 | A |
| Snow Hill | 2,315 | 216 | 907.1 | B |
| Hurlock | 2,090 | 191.4 | 1,387.6 | B |
| Chevy Chase Village | 2,020 | 0 | 2,722.8 | A |
| Greensboro | 1,928 | 207.5 | 778 | B |
| Oakland | 1,810 | 0 | 386.7 | A+ |
| Landover Hills | 1,751 | 799.5 | 7,481.4 | F |
| Pittsville | 1,638 | 61.1 | 183.2 | A+ |
| Edmonston | 1,561 | 384.4 | 2,626.5 | D |
| Hancock | 1,558 | 64.2 | 770.2 | A |
| Colmar Manor | 1,543 | 388.9 | 3,953.3 | D |
| Fairmount Heights | 1,479 | 1,284.7 | 3,854 | F |
| Morningside | 1,203 | 1,080.6 | 2,078.1 | F |
| Rock Hall | 1,188 | 0 | 505.1 | A+ |
| St. Michaels | 1,066 | 0 | 1,407.1 | A |
| Oxford | 597 | 0 | 1,005 | A+ |
How These City Grades Are Calculated
Each grade weighs a city's violent crime rate (70%) and property crime rate (30%) against the national averages, drawn from FBI Uniform Crime Reporting (UCR) Program, Crime in the United States, Table 8 for 2024. Rates use (offenses ÷ population) × 100,000.
UCR participation is voluntary, so not every Maryland city reports every year, and small-population cities can show volatile rates where a single incident moves the per-capita figure sharply. Read the full methodology for the scoring formula and limitations.