Monthly Traffic Safety Analysis

18,959 CRASHES IN
OHIO, OH
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Ohio recorded 18,959 traffic crashes, a 5.4% decrease from the 20,033 crashes reported in July 2023. This downward trend was also reflected in crash outcomes, with total fatalities declining by 13.3% from 120 to 104 year-over-year. The number of persons injured also fell by 4.8% during the same period, from 8,170 to 7,779.

18,959

-5.4%was 20,033

Total Crash Events

104

-13.3%was 120

Persons Killed

7,779

-4.8%was 8,170

Persons Injured

3,345

-13.4%was 3,863

Hit-and-Run Crashes

Note: "Persons Killed" (104) counts individual fatalities across all crash events. "Fatal" in the severity table below (98) 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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Statewide crash data indicates a general downward trend in July 2024 compared to the same month in the prior year. Total crashes decreased by 5.4%, from 20,033 to 18,959. Similarly, the number of fatalities dropped from 120 to 104, and total injuries declined from 8,170 to 7,779.

3,345

Hit-and-Run Crashes — July 2024

-13.4% vs prior (3,863)

Incidents of hit-and-run crashes saw a notable decline in both volume and rate compared to the previous year. The total number of hit-and-run crashes fell by 13.4%, from 3,863 in July 2023 to 3,345 in July 2024. Consequently, the hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, decreased from 19.3% to 17.6%.

Vulnerable Road User Casualties

17

Pedestrians Killed

Prior: 1421.4%

87

Motorists Killed

Prior: 106-17.9%

196

Pedestrians Injured

Prior: 1808.9%

7,583

Motorists Injured

Prior: 7,990-5.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed a notable shift between July 2023 and July 2024. The most frequent day for crashes moved from Monday (3,319 incidents) in the prior year to Wednesday (3,498 incidents) in the current period. The peak hour for collisions also shifted two hours earlier, from 5 p.m. in 2023 to 3 p.m. in 2024, which recorded 1,636 crashes.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes saw a slight decrease in fatal outcomes year-over-year. The fatal crash rate fell from 0.57% of all crashes in July 2023 to 0.52% in July 2024. The proportion of crashes resulting in any type of injury remained relatively stable, accounting for 28.2% of all incidents in the current period compared to 27.8% in the prior period. Specifically, serious injury crashes made up 3.2% of the total, a slight increase from 3.1% a year ago.

Severity is per crash event (most severe injury). 98 fatal crash events resulted in 104 persons killed.

Outcome by Severity (Crash Events)

Fatal98fatal crashes0.5%
-14.0%prior 114
Serious Injury603serious injury crashes3.2%
-4.3%prior 630
Minor Injury2,879minor injury crashes15.2%
-1.8%prior 2,931
Possible Injury1,852possible injury crashes9.8%
-8.5%prior 2,024
No Injury13,527no injury crashes71.3%
-5.6%prior 14,334

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes in July 2024 occurred more frequently under favorable conditions compared to the previous year. The proportion of collisions on dry roads increased from 84.7% to 87.9%, while crashes in rainy conditions decreased from 9.3% to 7.5% of the total. Similarly, a larger share of crashes happened in daylight, rising from 75.3% in July 2023 to 77.4% in July 2024.

Weather

Clear13,747 (72.5%)
1.3%prior 13,569
Cloudy3,560 (18.8%)
-14.6%prior 4,168
Rain1,424 (7.5%)
-23.9%prior 1,872
Other/Unknown179 (0.9%)
-22.8%prior 232
Fog; Smog; Smoke42 (0.2%)
-74.2%prior 163
Freezing Rain or Freezing Drizzle2 (0.0%)
-81.8%prior 11
Severe Crosswinds2 (0.0%)
-75.0%prior 8
Snow2 (0.0%)
-60.0%prior 5
Sleet; Hail1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight14,666 (77.4%)
-2.8%prior 15,092
Dark - Lighted Roadway1,863 (9.8%)
-17.5%prior 2,257
Dark - Roadway Not Lighted1,435 (7.6%)
-8.2%prior 1,564
Dawn/Dusk768 (4.1%)
-8.5%prior 839
Other/Unknown155 (0.8%)
-20.9%prior 196
Dark - Unknown Roadway Lighting72 (0.4%)
-15.3%prior 85

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry16,672 (87.9%)
-1.7%prior 16,960
Wet2,150 (11.3%)
-24.3%prior 2,840
Other/Unknown117 (0.6%)
-39.4%prior 193
Sand; Mud; Dirt; Oil; Gravel12 (0.1%)
50.0%prior 8
Water (Standing; Moving)6 (0.0%)
-76.0%prior 25
Snow2 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

The composition of vehicles and persons involved in crashes remained largely consistent year-over-year. The top three vehicle makes involved in collisions were unchanged: Chevrolet (4,843), Ford (4,648), and Honda (3,159), all showing slight decreases in total numbers from July 2023. The age distribution of individuals involved in crashes also showed little change, with the 26-34 age group representing the largest share in both periods (15.5% in 2024 vs. 15.7% in 2023).

Top Vehicle Makes (34,524 vehicles)

1
CHEVROLET4,843 (14%)
-5.6%prior 5,133
2
FORD4,648 (13.5%)
-3.5%prior 4,819
3
HONDA3,159 (9.2%)
0.1%prior 3,156
4
TOYOTA2,772 (8%)
-2.1%prior 2,831
5
DODGE1,569 (4.5%)
-8.5%prior 1,715
6
NISSAN1,543 (4.5%)
-6.3%prior 1,646
7
JEEP1,394 (4%)
-1.8%prior 1,419
8
HYUNDAI1,379 (4%)
0.6%prior 1,371
9
KIA1,349 (3.9%)
-9.2%prior 1,486
10
OTHER/UNKNOWN1,040 (3%)
15.0%prior 904

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

2,910 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (41,484 persons with recorded sex)

Male23,126 (55.7%)
-3.5%prior 23,961
Female18,358 (44.3%)
-5.3%prior 19,381

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 18,959
  • Total persons involved: 43,781
  • Total vehicles involved: 34,524

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: July 2024." Published July 5, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-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 — July 2024 | ThatCarHitMe.com