Yearly Traffic Safety Analysis

24,156 CRASHES IN
OHIO, OH
2024

All metrics benchmarked against2023

In 2024, Franklin County recorded 24,156 total crashes, a 2.6% increase from the 23,553 crashes reported in 2023. While total crashes and injuries saw a slight rise, the most significant year-over-year change was a substantial decrease in traffic-related fatalities. The number of fatalities fell from 130 in 2023 to 89 in 2024, a reduction of 31.5%.

24,156

2.6%was 23,553

Total Crash Events

89

-31.5%was 130

Persons Killed

10,571

0.4%was 10,524

Persons Injured

7,953

-4.8%was 8,350

Hit-and-Run Crashes

Note: "Persons Killed" (89) counts individual fatalities across all crash events. "Fatal" in the severity table below (83) 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

Overall, the total number of crashes in Franklin County trended slightly upward in 2024, increasing by 2.6% from 23,553 to 24,156 compared to the prior year. This rise in collisions was accompanied by a marginal 0.4% increase in total injuries, from 10,524 to 10,571. However, this period saw a notable counter-trend in crash lethality, with total fatalities decreasing by 31.5%.

7,953

Hit-and-Run Crashes — 2024

-4.8% vs prior (8,350)

The incidence of hit-and-run crashes in Franklin County showed a downward trend in 2024. The total number of hit-and-run incidents decreased from 8,350 in 2023 to 7,953 in 2024. This represents a drop in the hit-and-run rate from 35.5% of all crashes in the prior year to 32.9% in the current year, marking a 2.6 percentage point decrease.

Vulnerable Road User Casualties

20

Pedestrians Killed

Prior: 30-33.3%

69

Motorists Killed

Prior: 100-31.0%

552

Pedestrians Injured

Prior: 5186.6%

10,019

Motorists Injured

Prior: 10,0060.1%

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 temporal patterns of crashes remained largely consistent year-over-year, with Friday being the peak day for crashes in both 2024 (3,942 crashes) and 2023 (3,981 crashes). The 5 PM hour was also the peak hour in both periods, with crash counts in that hour increasing from 1,836 to 1,995. The most notable temporal shift occurred in the peak month for collisions, which moved from October in 2023 (2,230 crashes) to May in 2024 (2,231 crashes).

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

In 2024, there was a significant reduction in the most severe crashes compared to the previous year. The number of fatal crashes dropped from 119 to 83, causing the fatal crash rate to fall from 0.5% to 0.3% of all collisions. Crashes resulting in serious injuries also saw a decrease from 547 to 508. Conversely, crashes involving possible injuries increased from 2,665 to 2,929, while the proportion of non-injury crashes remained stable at 68.3% in both periods.

Severity is per crash event (most severe injury). 83 fatal crash events resulted in 89 persons killed.

Outcome by Severity (Crash Events)

Fatal83fatal crashes0.3%
-30.3%prior 119
Serious Injury508serious injury crashes2.1%
-7.1%prior 547
Minor Injury4,127minor injury crashes17.1%
-0.0%prior 4,129
Possible Injury2,929possible injury crashes12.1%
9.9%prior 2,665
No Injury16,509no injury crashes68.3%
2.6%prior 16,093

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

The distribution of crashes across different environmental conditions remained largely unchanged year-over-year, with the majority of crashes in both 2024 (65.8%) and 2023 (65.2%) occurring in clear weather. There was a notable increase in the number of crashes occurring in snow, rising from 323 to 482, which represents a proportional increase from 1.4% to 2.0% of all crashes. Crashes in daylight conditions increased in count but their proportion of the total remained steady, accounting for 63.4% of crashes in 2024 versus 62.5% in 2023.

Weather

Clear15,902 (65.8%)
3.6%prior 15,346
Cloudy4,361 (18.1%)
-4.2%prior 4,552
Rain2,900 (12.0%)
3.2%prior 2,809
Snow482 (2.0%)
49.2%prior 323
Other/Unknown413 (1.7%)
-9.2%prior 455
Fog; Smog; Smoke52 (0.2%)
30.0%prior 40
Freezing Rain or Freezing Drizzle20 (0.1%)
185.7%prior 7
Sleet; Hail19 (0.1%)
58.3%prior 12
Severe Crosswinds4 (0.0%)
-42.9%prior 7
Blowing Sand; Soil; Dirt; Snow3 (0.0%)

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

Lighting

Daylight15,318 (63.4%)
4.1%prior 14,716
Dark - Lighted Roadway5,557 (23.0%)
-2.2%prior 5,680
Dawn/Dusk1,380 (5.7%)
11.1%prior 1,242
Dark - Roadway Not Lighted1,337 (5.5%)
0.4%prior 1,332
Other/Unknown337 (1.4%)
-5.6%prior 357
Dark - Unknown Roadway Lighting227 (0.9%)
0.4%prior 226

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

Road Surface

Dry18,847 (78.0%)
0.9%prior 18,682
Wet4,453 (18.4%)
6.2%prior 4,195
Snow380 (1.6%)
82.7%prior 208
Other/Unknown352 (1.5%)
-3.3%prior 364
Ice87 (0.4%)
8.8%prior 80
Slush15 (0.1%)
114.3%prior 7
Sand; Mud; Dirt; Oil; Gravel12 (0.0%)
71.4%prior 7
Water (Standing; Moving)10 (0.0%)
0.0%prior 10

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

Vehicles & Demographics

The top vehicle makes involved in crashes remained consistent, with Honda, Ford, Chevrolet, and Toyota leading in both years. In 2024, Ford (5,129 vehicles) surpassed Chevrolet (5,123) to become the second most frequently involved make, while Honda's involvement increased from 5,792 to 6,387 vehicles. The age distribution of persons involved in crashes was also stable, although the 26-34 age group saw a slight increase in representation, accounting for 17.0% of all persons in 2024 compared to 16.3% in 2023.

Top Vehicle Makes (47,768 vehicles)

1
HONDA6,387 (13.4%)
10.3%prior 5,792
2
FORD5,129 (10.7%)
2.2%prior 5,017
3
CHEVROLET5,123 (10.7%)
-1.6%prior 5,207
4
TOYOTA5,026 (10.5%)
7.3%prior 4,683
5
NISSAN2,534 (5.3%)
5.1%prior 2,412
6
HYUNDAI2,232 (4.7%)
2.2%prior 2,183
7
KIA1,746 (3.7%)
-1.1%prior 1,766
8
DODGE1,578 (3.3%)
-5.6%prior 1,671
9
JEEP1,408 (2.9%)
3.3%prior 1,363
10
GMC994 (2.1%)
7.1%prior 928

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

7,581 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (54,207 persons with recorded sex)

Male30,652 (56.5%)
3.9%prior 29,508
Female23,555 (43.5%)
2.1%prior 23,075

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: ohio, OH
  • Total crash records analyzed: 24,156
  • Total persons involved: 59,839
  • Total vehicles involved: 47,768

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). "ohio, 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/statewide/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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Franklin County, OH Crash Report — 2024 | ThatCarHitMe.com