Yearly Traffic Safety Analysis

209 CRASHES IN
CIRCLEVILLE, OH
2024

All metrics benchmarked against2023

In the current year, Circleville experienced 209 total crashes, an 18.36% decrease compared to the 256 crashes in the prior year. Despite this overall reduction, total fatalities increased by 50%, rising from 2 in the prior year to 3 in the current year. This marks a significant shift in the severity outcome of crashes.

209

-18.4%was 256

Total Crash Events

3

50.0%was 2

Persons Killed

77

-9.4%was 85

Persons Injured

21

-8.7%was 23

Hit-and-Run Crashes

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in Circleville decreased by 18.36% year-over-year, falling from 256 in the prior year to 209 in the current year. Conversely, total fatalities saw a 50% increase, rising from 2 to 3, indicating a concerning trend in crash severity. Total injuries also decreased, from 85 to 77, representing a 9.41% reduction.

21

Hit-and-Run Crashes — 2024

-8.7% vs prior (23)

Hit-and-run crashes decreased in absolute numbers from 23 in the prior year to 21 in the current year. However, the hit-and-run rate, calculated as a percentage of total crashes, increased from 9% in the prior year to 10% in the current year. This indicates that hit-and-run incidents represent a slightly larger proportion of overall crashes despite the reduction in their count.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 1100.0%

1

Motorists Killed

Prior: 10.0%

2

Pedestrians Injured

Prior: 1100.0%

75

Motorists Injured

Prior: 84-10.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Thursday with 47 crashes in the prior year to Wednesday with 45 crashes in the current year. While the peak hour remained 4p, the number of crashes at this hour decreased from 27 in the prior year to 20 in the current year. Overall, monthly crash counts were generally lower in the current year compared to the prior year, with the highest count in October (29) for the current year, versus May (34) in the prior year.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0.78% in the prior year to 1.44% in the current year, corresponding to a 50% rise in total fatalities from 2 to 3. While total injuries decreased from 85 to 77, the number of serious injuries (code 'A') slightly increased from 6 to 7. Minor injuries (code 'B') and possible injuries (code 'C') both saw reductions, from 25 to 21 and 34 to 17 respectively.

Outcome by Severity (Crash Events)

Fatal3fatal crashes1.4%
50.0%prior 2
Serious Injury7serious injury crashes3.3%
16.7%prior 6
Minor Injury21minor injury crashes10%
-16.0%prior 25
Possible Injury17possible injury crashes8.1%
-50.0%prior 34
No Injury161no injury crashes77%
-14.8%prior 189

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in Clear weather conditions decreased from 177 in the prior year to 138 in the current year, aligning with the overall reduction in total crashes. However, crashes on Wet road surfaces increased from 40 to 46, and crashes in Snow conditions doubled from 2 to 4. Crashes during Daylight hours decreased from 172 to 140, while those in Dark - Roadway Not Lighted conditions also fell from 45 to 32.

Weather

Clear138 (66.0%)
-22.0%prior 177
Cloudy40 (19.1%)
-18.4%prior 49
Rain24 (11.5%)
-4.0%prior 25
Snow4 (1.9%)
Fog; Smog; Smoke3 (1.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight140 (67.0%)
-18.6%prior 172
Dark - Roadway Not Lighted32 (15.3%)
-28.9%prior 45
Dark - Lighted Roadway16 (7.7%)
-11.1%prior 18
Dawn/Dusk15 (7.2%)
7.1%prior 14
Dark - Unknown Roadway Lighting6 (2.9%)
-14.3%prior 7

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry161 (77.0%)
-25.1%prior 215
Wet46 (22.0%)
15.0%prior 40
Snow2 (1.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 473 in the prior year to 363 in the current year. While Passenger Cars, SUVs, and Pickups all saw fewer involvements, pedestrian/skater involvements increased from 2 to 4. The top vehicle makes like Ford, Chevrolet, and Honda also showed fewer involvements year-over-year. The number of persons aged 0-15 involved in crashes significantly decreased from 89 to 29, while those aged 16-20 increased from 48 to 52.

Top Vehicle Makes (363 vehicles)

1
FORD61 (16.8%)
-36.5%prior 96
2
CHEVROLET54 (14.9%)
-27.0%prior 74
3
HONDA34 (9.4%)
-29.2%prior 48
4
TOYOTA29 (8%)
-3.3%prior 30
5
HYUNDAI23 (6.3%)
-25.8%prior 31
6
DODGE19 (5.2%)
-13.6%prior 22
7
NISSAN16 (4.4%)
60.0%prior 10
8
BUICK15 (4.1%)
200.0%prior 5
9
GMC14 (3.9%)
-26.3%prior 19
10
JEEP12 (3.3%)
-33.3%prior 18

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

14 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (442 persons with recorded sex)

Male236 (53.4%)
-28.0%prior 328
Female206 (46.6%)
-19.5%prior 256

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2024-01-01 through 2024-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Circleville, OH
  • Total crash records analyzed: 209
  • Total persons involved: 458
  • Total vehicles involved: 363

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "Circleville, OH Crash Intelligence Report: 2024." Published July 6, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/circleville/2024-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Circleville, OH Crash Report — 2024 | ThatCarHitMe.com