CrashRate

Fatal crash rate · South Carolina

Fatal crash rate in Sumter County, South Carolina

Fatal crashes recorded by NHTSA in Sumter County, South Carolina, 2020 to 2024, divided by the people who live there. Fatal crashes only: not injuries, not all crashes, not traffic in general.

Sumter County, South Carolina2024 · fatal crashes recorded by NHTSA

21.9fatal crashes per 100,000 residents in 2024

In 2024, NHTSA recorded 23 fatal crashes in Sumter County, South Carolina, where 104,788 people lived. That is 21.9 fatal crashes for every 100,000 residents, and 23 people died in those crashes. Over 2020 to 2024 the average was 25.8.

The road is a scale of fatal crashes per 100,000 residents in 2024, 0 to 40. The yellow post is Sumter County; the white posts are South Carolina and the United States.

Per 100,000
23 fatal crashes ÷ 104,788 residents × 100,000 = 21.9
Five-year
135 crashes (2020 to 2024) ÷ 523,186 resident-years × 100,000 = 25.8
Same year
South Carolina: 948 ÷ 5,490,316 = 17.3 · United States: 36,297 ÷ 340,003,797 = 10.7

Every year, 2020 to 2024

YearFatal crashesDeathsPopulationPer 100,000
20202325105,40921.8
20212931104,70327.7
20223030103,89028.9
20233030104,39628.7
20242323104,78821.9

2024 is NHTSA’s Annual Report File and will be revised when the final file replaces it. Populations are July 1 estimates, Census Vintage 2025.

What the record says about those crashes, 2020 to 2024

Every figure is a count of the 135 fatal crashes NHTSA coded to Sumter County, South Carolina over five years, from the fields FARS records. Nothing is estimated or inferred.

Road typeCrashesShare
Interstate32%
Other freeway or expressway64%
Other principal arterial5641%
Minor arterial2519%
Major collector2821%
Minor collector43%
Local road1310%
Unknown or not reported00%
Rural6649%
Urban6951%
Time of dayCrashesShare
Midnight to 5:59 am2519%
6 am to 11:59 am2418%
Noon to 5:59 pm4231%
6 pm to 11:59 pm4433%
Hour unknown00%
LightCrashesShare
Daylight6347%
Dark, not lighted (or lighting unknown)5641%
Dark, lighted118%
Dawn or dusk54%
Unknown or not reported00%
WeatherCrashesShare
Clear11283%
Cloudy97%
Rain129%
Snow, sleet or freezing rain00%
Fog, smog or smoke21%
Severe wind, blowing sand or other00%
Unknown or not reported00%
InvolvingCrashesShare
A pedestrian1914%
A bicyclist or other cyclist32%
A speeding-related vehicle4634%
A driver police reported as drinking4433%
Most-named roadsCrashes
US-76 BROAD STREET6
US-378 MYRTLE BEACH HWY6
US-765
US-3785
US-155

Road type is FARS FUNC_SYS; speeding is any vehicle coded SPEEDREL 2 to 5; drinking is any driver coded DRINKING = 1 (police-reported, not a blood-alcohol test). Road names are the trafficway strings as the police coded them, counted as written, so the same road can appear under two spellings.

How this is counted

  • Fatal crashes are rows in NHTSA’s Fatality Analysis Reporting System (FARS) file FARS2024NationalCSV.zip, accident.csv, one row per crash on a public road in which someone died within 30 days. Deaths are the FATALS field. Counties are the FARS STATE and COUNTY codes joined to Census FIPS codes.
  • Population is the Census Bureau’s July 1 estimate for the same year, county totals, Vintage 2025. Rate per 100,000 = crashes ÷ population × 100,000.
  • The five-year average is total crashes over the years with both inputs ÷ total population over those years × 100,000, the rolling form in 23 CFR 490.207.
  • What it cannot say. FARS has no injury-only or property-damage crashes, no congestion, and nothing about any one driver, trip or road’s risk. A crash is counted where it happened, not where the people lived. Rates are not ranked here; comparing two places means comparing both sets of inputs.

Informational only, not professional advice. Last reviewed: October 2026. Data snapshot built 2026-10-28.