Fatal crash profile · City
Traffic deaths in Goose Creek, South Carolina
City in Berkeley County · South Carolina · United States
- Deaths, 2024
- 4
- Fatal crashes
- 4
- Population
- 50.7K
In 2024, 4 people died in 4 fatal crashes in Goose Creek, South Carolina. That was 300.0% more than in 2023 (1) and the most since 2020. The death rate was 7.9 per 100,000 residents, compared with 13.9 in Berkeley County, 18.9 in South Carolina and 11.5 in the United States. Between 2020 and 2024, 14 people died, an average of 2.8 a year. That rate is based on fewer than 20 deaths, so it can swing a lot from year to year. Pedestrians accounted for 50% of deaths.
Deaths
Traffic deaths
7.9
deaths per 100,000 residents in 2024
- About 55 percent of the rate in Berkeley County, South Carolina: 13.9
- About 40 percent of the rate in South Carolina: 18.9
- About two-thirds of the rate in the United States: 11.5
+300%
change in deaths from 2023 to 2024
1 death in 2023, 4 in 2024
- Berkeley County, South Carolina: -39%
- South Carolina: -1%
- The United States: -4%
| Category | Deaths | Fatal crashes |
|---|---|---|
| 2020 | 5 | 4 |
| 2021 | 1 | 1 |
| 2022 | 3 | 3 |
| 2023 | 1 | 1 |
| 2024 | 4 | 4 |
People who died within 30 days of a crash. A fatal crash can kill more than one person.
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| Category | Deaths per 100,000 |
|---|---|
| 2020 | 10.8 |
| 2021 | 2.1 |
| 2022 | 6.3 |
| 2023 | 2.0 |
| 2024 | 7.9 |
Uses Census population estimates, available from 2000.
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Road users
Who died
50%
of deaths were pedestrians
- About 1.8 times the share in Berkeley County, South Carolina: 27%
- About 3 times the share in South Carolina: 15%
- About 3 times the share in the United States: 18%
| Category | Deaths |
|---|---|
| Vehicle occupants and others | 1 |
| Pedestrians | 2 |
| Motorcyclists | 0 |
| Cyclists | 1 |
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| Type | Deaths | Share in Goose Creek | Share in Berkeley County |
|---|---|---|---|
| Pedestrians | 2 | 50% | 27% |
| Motorcyclists | 0 | 0% | 11% |
| Cyclists | 1 | 25% | 3% |
| Alcohol-impaired driving crashes | 1 | 25% | 43% |
| Speeding-related crashes | 0 | 0% | 22% |
Alcohol-impaired and speeding-related count everyone killed in those crashes, so a death can appear in more than one row.
Crash factors
Speeding, alcohol, night and weekend crashes
0%
of fatal crashes were speeding-related
- About 5 percent of the share in Berkeley County, South Carolina: 22%
- About 5 percent of the share in South Carolina: 37%
- About 5 percent of the share in the United States: 28%
50%
of fatal crashes involved a drinking driver
- About 1.2 times the share in Berkeley County, South Carolina: 41%
- About 1.6 times the share in South Carolina: 32%
- About double the share in the United States: 25%
| Category | Goose Creek | Berkeley County | South Carolina | United States |
|---|---|---|---|---|
| Speeding-related | 50.0% | 40.5% | 32.2% | 24.8% |
| Alcohol-involved | 0.0% | 21.6% | 36.8% | 28.1% |
| At night | 75.0% | 73.0% | 56.9% | 53.6% |
| At weekends | 75.0% | 48.6% | 35.3% | 32.6% |
Share of fatal crashes. Alcohol-involved means a police-reported drinking driver.
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Timing
When crashes happen
75%
of fatal crashes happened at night
- About the same as the share in Berkeley County, South Carolina: 73%
- About 1.3 times the share in South Carolina: 57%
- About 1.4 times the share in the United States: 54%
75%
of fatal crashes happened at weekends
- About 1.5 times the share in Berkeley County, South Carolina: 49%
- About double the share in South Carolina: 35%
- About double the share in the United States: 33%
| Category | Fatal crashes |
|---|---|
| 12am | 0 |
| 1am | 0 |
| 2am | 0 |
| 3am | 1 |
| 4am | 0 |
| 5am | 1 |
| 6am | 1 |
| 7am | 0 |
| 8am | 0 |
| 9am | 1 |
| 10am | 0 |
| 11am | 1 |
| 12pm | 1 |
| 1pm | 1 |
| 2pm | 0 |
| 3pm | 0 |
| 4pm | 0 |
| 5pm | 0 |
| 6pm | 2 |
| 7pm | 3 |
| 8pm | 0 |
| 9pm | 0 |
| 10pm | 1 |
| 11pm | 0 |
All crashes 2020–2024.
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| Category | Fatal crashes |
|---|---|
| Sun | 2 |
| Mon | 2 |
| Tue | 1 |
| Wed | 2 |
| Thu | 3 |
| Fri | 0 |
| Sat | 3 |
All crashes 2020–2024.
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| Category | Fatal crashes |
|---|---|
| Jan | 0 |
| Feb | 0 |
| Mar | 1 |
| Apr | 2 |
| May | 1 |
| Jun | 1 |
| Jul | 0 |
| Aug | 1 |
| Sep | 4 |
| Oct | 1 |
| Nov | 1 |
| Dec | 1 |
All crashes 2020–2024.
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Conditions
Weather and light
| Category | Fatal crashes |
|---|---|
| Clear | 12 |
| Cloudy | 1 |
All crashes 2020–2024. Crashes where conditions were not reported are left out.
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| Category | Fatal crashes |
|---|---|
| Daylight | 7 |
| Dark - Not Lighted | 3 |
| Dark - Unknown Lighting | 2 |
| Dark - Lighted | 1 |
All crashes 2020–2024. Crashes where conditions were not reported are left out.
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Roads and vehicles
Where and what, 2020–2024
Roads with the most fatal crashes
- US-523
- US-176 ST JAMES AVE2
- US-52 N GOOSE CREEK BLVD2
- US-171
- US-52 NORTH GOOSE CREEK BLVD1
- US-1761
- SSR- GOOSE CREEK RD1
- SR-1093 CROWFIELD BLVD1
- US-52 S GOOSE CREEK BLVD1
Road names as recorded in police reports.
| Category | Vehicles |
|---|---|
| Cars | 8 |
| SUVs | 7 |
| Pickup trucks | 4 |
| Motorcycles | 2 |
| Other vehicles | 1 |
All crashes 2020–2024.
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Vehicles most often involved
- Toyota RAV41
- Toyota PRIUS1
- Toyota Camry1
- Toyota 4-Runner1
- Suzuki GSX-R7501
- Ram 15001
- Nissan Pathfinder1
- Nissan Cube1
- Nissan Altima1
- Kia Sorento1
Reflects how common a vehicle is as well as crash involvement; not a safety rating.
Crashes
Fatal crashes
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Fatal crashes in 2024. Crashes without reported coordinates are not shown.
Filter crashes
| Date | Road | Deaths |
|---|---|---|
| Sep 1, 2024 | SSR- GOOSE CREEK RD | 1 |
| Aug 1, 2024 | US-52 N GOOSE CREEK BLVD | 1 |
| May 4, 2024 | US-176 ST JAMES AVE | 1 |
| Mar 23, 2024 | US-52 N GOOSE CREEK BLVD | 1 |
| Oct 25, 2023 | US-52 S GOOSE CREEK BLVD | 1 |
| Nov 14, 2022 | US-52 NORTH GOOSE CREEK BLVD | 1 |
| Sep 22, 2022 | SR-1093 CROWFIELD BLVD | 1 |
| Apr 24, 2022 | US-176 ST JAMES AVE | 1 |
| Apr 7, 2021 | US-52 | 1 |
| Dec 22, 2020 | US-176 | 1 |
| Sep 21, 2020 | US-52 | 1 |
| Sep 19, 2020 | US-17 | 2 |
| Jun 25, 2020 | US-52 | 1 |
Explore
Nearby and related
Source: NHTSA Fatality Analysis Reporting System (FARS), 2020–2024. A fatal crash is one in which at least one person died within 30 days. Population: US Census Bureau estimates.