Area Safety Data

State hub ยท SC

South Carolina property crime city data

Validated city-level FBI NIBRS selected property-offense pages for South Carolina. This page summarizes candidate cities in the dataset; it is not a statewide crime-rate claim.

Candidate-city rate 28.09 per 1,000 residents across listed cities; not a statewide risk score
Validated cities60Current candidate pages
Candidate population1,708,788Sum of listed city estimates
Selected offenses48,003FBI NIBRS offense records

Highest-rate city candidates

Use the city pages for source notes, trend handling, and offense mix. Small or ambiguous places remain outside automatic publication.

6,280 residents Dillon 68.47 selected property offenses per 1,000 residents 8,037 residents Union 66.32 selected property offenses per 1,000 residents 13,407 residents Orangeburg 62.36 selected property offenses per 1,000 residents 9,346 residents Lancaster 62.06 selected property offenses per 1,000 residents 6,093 residents Darlington 58.43 selected property offenses per 1,000 residents 40,669 residents Myrtle Beach 57.81 selected property offenses per 1,000 residents

South Carolina city candidates

City Population Selected offenses Rate per 1,000 Trend
Dillon 6,280 430 68.47 Decreasing
Union 8,037 533 66.32 Increasing
Orangeburg 13,407 836 62.36 Roughly stable
Lancaster 9,346 580 62.06 Increasing
Darlington 6,093 356 58.43 Increasing
Myrtle Beach 40,669 2,351 57.81 Decreasing
Anderson 31,074 1,750 56.32 Roughly stable
Walterboro 5,509 301 54.64 Decreasing
Marion 6,120 331 54.08 Roughly stable
Spartanburg 39,741 2,097 52.77 Decreasing
Hartsville 7,392 379 51.27 Decreasing
West Columbia 18,440 831 45.07 Decreasing
Gaffney 12,542 535 42.66 Increasing
Aiken 32,544 1,329 40.84 Roughly stable
Clinton 7,847 320 40.78 Decreasing
Florence 40,927 1,628 39.78 Decreasing
North Charleston 126,551 4,907 38.77 Decreasing
Camden 8,952 339 37.87 Mixed
Sumter 43,058 1,596 37.07 Increasing
Georgetown 8,854 327 36.93 Mixed
Columbia 144,133 5,121 35.53 Decreasing
Beaufort 14,517 507 34.92 Roughly stable
Greenville 74,948 2,605 34.76 Roughly stable
Forest Acres 10,462 354 33.84 Decreasing
Greenwood 22,709 761 33.51 Decreasing
Chester 5,263 174 33.06 Increasing
North Myrtle Beach 20,862 679 32.55 Decreasing
Newberry 10,919 346 31.69 Increasing
Laurens 9,339 289 30.95 Decreasing
York 9,833 292 29.70 Decreasing
Batesburg-Leesville 5,343 150 28.07 Decreasing
Cayce 13,715 379 27.63 Decreasing
Simpsonville 28,247 767 27.15 Decreasing
Travelers Rest 8,993 232 25.80 Decreasing
Rock Hill 75,797 1,829 24.13 Roughly stable
Charleston 158,791 3,238 20.39 Roughly stable
Woodruff 5,158 101 19.58 Decreasing
Conway 29,780 579 19.44 Decreasing
Easley 26,972 518 19.21 Decreasing
Clemson 18,591 355 19.10 Decreasing
Moncks Corner 18,494 335 18.11 Decreasing
Summerville 52,731 950 18.02 Mixed
Seneca 9,217 166 18.01 Mixed
Greer 46,595 835 17.92 Decreasing
Irmo 12,110 193 15.94 Mixed
Lexington 25,425 404 15.89 Decreasing
Hardeeville 14,179 211 14.88 Decreasing
Hanahan 22,168 329 14.84 Roughly stable
Goose Creek 50,730 719 14.17 Decreasing
Mauldin 29,904 416 13.91 Mixed
Central 5,344 68 12.72 Increasing
Port Royal 16,748 210 12.54 Roughly stable
Mount Pleasant 95,987 1,145 11.93 Roughly stable
Clover 7,560 86 11.38 Roughly stable
Fountain Inn 13,828 136 9.84 Decreasing
Bluffton 36,372 316 8.69 Mixed
Lyman 6,912 57 8.25 Roughly stable
Fort Mill 36,207 242 6.68 Increasing
North Augusta 26,263 109 4.15 Decreasing
Tega Cay 14,259 44 3.09 Decreasing

Important context

These figures are based on reported selected property offenses and Census population context for validated city candidates. Agency reporting boundaries can differ from municipal boundaries, so the methodology page explains why ambiguous or tiny-denominator rows stay out of automatic publication.

Read methodology