Monthly Traffic Safety Analysis

21,743 CRASHES IN
OHIO, OH
JANUARY 2024

All metrics benchmarked againstJanuary 2023

In January 2024, Ohio recorded 21,743 total vehicle crashes, a 2.5% decrease from the 22,290 crashes reported in January 2023. This overall downward trend was accompanied by a significant year-over-year reduction in crash severity. The most notable change was a 25% drop in total fatalities, which fell from 88 in the prior period to 66 in the current period.

21,743

-2.5%was 22,290

Total Crash Events

66

-25.0%was 88

Persons Killed

6,761

-3.8%was 7,030

Persons Injured

3,618

-6.7%was 3,877

Hit-and-Run Crashes

Note: "Persons Killed" (66) counts individual fatalities across all crash events. "Fatal" in the severity table below (62) 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 2024-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Statewide crash data indicates a downward trend in January 2024 compared to the same month in the previous year. Total crashes fell by 2.5%, from 22,290 to 21,743. This decrease was also reflected in crash outcomes, with total injuries declining by 3.8% from 7,030 to 6,761 and total fatalities seeing a more substantial drop of 25% from 88 to 66.

3,618

Hit-and-Run Crashes — January 2024

-6.7% vs prior (3,877)

Hit-and-run incidents showed a downward trend in January 2024 compared to the previous year. The total number of hit-and-run crashes decreased from 3,877 to 3,618. Correspondingly, the hit-and-run rate, or the proportion of total crashes that were hit-and-runs, also fell from 17.4% in January 2023 to 16.6% in January 2024.

Vulnerable Road User Casualties

11

Pedestrians Killed

Prior: 14-21.4%

55

Motorists Killed

Prior: 74-25.7%

196

Pedestrians Injured

Prior: 198-1.0%

6,565

Motorists Injured

Prior: 6,832-3.9%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-01-31 · 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 broadly consistent year-over-year, with the peak day for collisions being Tuesday and the peak hour being 6 p.m. in both January 2024 and January 2023. However, the daily distribution of crashes shifted; the current period showed a stronger concentration of incidents on Tuesday (4,044 crashes) and Friday (4,023 crashes). In the prior year, crash volumes were more evenly distributed throughout the week, with Tuesday being the highest day at 3,697 crashes.

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

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

Crash Severity Breakdown

Crash severity decreased in January 2024 compared to the prior year. The number of fatal crashes fell from 80 to 62, and the fatal crash rate declined from 0.36% to 0.29% of all crashes. Similarly, crashes resulting in serious injuries decreased from 394 to 367. While the overall proportion of crashes involving any type of injury remained stable at approximately 22%, the distribution shifted toward less severe outcomes.

Severity is per crash event (most severe injury). 62 fatal crash events resulted in 66 persons killed.

Outcome by Severity (Crash Events)

Fatal62fatal crashes0.3%
-22.5%prior 80
Serious Injury367serious injury crashes1.7%
-6.9%prior 394
Minor Injury2,464minor injury crashes11.3%
0.0%prior 2,464
Possible Injury2,037possible injury crashes9.4%
-6.9%prior 2,189
No Injury16,813no injury crashes77.3%
-2.0%prior 17,163

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

Severity Distribution (Crash Events)

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

Road & Environmental Conditions

A comparison of conditions reveals a notable shift in weather-related incidents between the two periods. In January 2024, crashes occurring in rain increased from 2,960 to 4,162, while collisions in clear, cloudy, and snowy conditions all decreased. This corresponds with an increase in crashes on wet road surfaces (from 7,412 to 7,918) and a decrease on dry surfaces (from 10,557 to 9,154). The distribution of crashes by lighting conditions remained largely unchanged year-over-year.

Weather

Clear6,787 (31.2%)
-11.0%prior 7,622
Cloudy6,121 (28.2%)
-8.5%prior 6,688
Rain4,162 (19.1%)
40.6%prior 2,960
Snow3,630 (16.7%)
-13.8%prior 4,213
Fog; Smog; Smoke313 (1.4%)
42.9%prior 219
Freezing Rain or Freezing Drizzle261 (1.2%)
110.5%prior 124
Other/Unknown203 (0.9%)
-11.4%prior 229
Sleet; Hail192 (0.9%)
31.5%prior 146
Blowing Sand; Soil; Dirt; Snow40 (0.2%)
-42.9%prior 70
Severe Crosswinds34 (0.2%)
78.9%prior 19

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

Lighting

Daylight11,017 (50.7%)
-3.9%prior 11,469
Dark - Lighted Roadway4,872 (22.4%)
-3.0%prior 5,025
Dark - Roadway Not Lighted3,826 (17.6%)
-1.7%prior 3,891
Dawn/Dusk1,669 (7.7%)
7.5%prior 1,553
Other/Unknown194 (0.9%)
1.0%prior 192
Dark - Unknown Roadway Lighting165 (0.8%)
3.1%prior 160

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

Road Surface

Dry9,154 (42.1%)
-13.3%prior 10,557
Wet7,918 (36.4%)
6.8%prior 7,412
Snow3,287 (15.1%)
11.7%prior 2,942
Ice899 (4.1%)
-4.1%prior 937
Slush304 (1.4%)
33.3%prior 228
Other/Unknown153 (0.7%)
-17.3%prior 185
Water (Standing; Moving)16 (0.1%)
-36.0%prior 25
Sand; Mud; Dirt; Oil; Gravel12 (0.1%)

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

Vehicles & Demographics

The ranking of the top four vehicle makes involved in crashes remained consistent, led by Chevrolet, Ford, Honda, and Toyota in both periods. However, Nissan-made vehicles (1,759) replaced Dodge (1,641) as the fifth most common make in January 2024. When analyzing the age of persons involved in crashes, most age groups saw a decrease in line with the overall trend. The 16-20 age group was an outlier, showing a slight increase in involved persons from 5,423 to 5,638 year-over-year.

Top Vehicle Makes (37,353 vehicles)

1
CHEVROLET5,432 (14.5%)
-4.9%prior 5,710
2
FORD5,026 (13.5%)
-6.8%prior 5,394
3
HONDA3,500 (9.4%)
4.5%prior 3,350
4
TOYOTA3,037 (8.1%)
0.9%prior 3,011
5
NISSAN1,759 (4.7%)
2.0%prior 1,724
6
DODGE1,641 (4.4%)
-12.7%prior 1,880
7
JEEP1,637 (4.4%)
-2.1%prior 1,672
8
KIA1,493 (4%)
3.0%prior 1,450
9
HYUNDAI1,454 (3.9%)
-1.2%prior 1,471
10
OTHER/UNKNOWN1,152 (3.1%)
19.8%prior 962

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

3,252 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (43,350 persons with recorded sex)

Male24,350 (56.2%)
-1.7%prior 24,772
Female19,000 (43.8%)
-6.1%prior 20,237

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-01-31 · 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 2024-01-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-01-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 21,743
  • Total persons involved: 46,116
  • Total vehicles involved: 37,353

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: January 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-2024-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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Ohio (Statewide) Crash Report — January 2024 | ThatCarHitMe.com