Yearly Traffic Safety Analysis

512 CRASHES IN
FOREST PARK, OH
2025

All metrics benchmarked against2024

In 2025, Forest Park recorded 512 crashes, a 6.91% decrease from the 550 crashes reported in 2024. Total injuries increased by 8.33% from 156 in 2024 to 169 in 2025. A notable shift was the increase in motorcycle crashes from 0 in 2024 to 3 in 2025.

512

▼ -6.9%was 550

Total Crash Events

0

Persons Killed

169

▲ 8.3%was 156

Persons Injured

131

▼ -14.4%was 153

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in Forest Park decreased by 6.91%, from 550 in 2024 to 512 in 2025. Despite this reduction in total crashes, the number of injuries rose by 8.33%, from 156 in 2024 to 169 in 2025. Fatalities remained at zero in both years.

131

Hit-and-Run Crashes — 2025

▼ -14.4% vs prior (153)

The number of hit-and-run crashes decreased from 153 in 2024 to 131 in 2025, a reduction of 22 incidents. Concurrently, the hit-and-run rate decreased by 2.2 percentage points, from 27.8% in 2024 to 25.6% in 2025. This indicates a downward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

4

Pedestrians Injured

Prior: 3↑33.3%

165

Motorists Injured

Prior: 153↑7.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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 Friday in 2024, with 89 crashes, to Wednesday in 2025, with 77 crashes. Similarly, the peak crash hour moved from 5 p.m. in 2024, which saw 48 crashes, to 4 p.m. in 2025, with 40 crashes. This indicates a shift in when the highest concentration of crashes occurred.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While fatal crashes remained at zero in both 2024 and 2025, total injuries increased by 8.33% from 156 to 169. The proportion of crashes resulting in serious injuries (Severity A) decreased from 1.3% in 2024 to 1% in 2025. Conversely, crashes with possible injuries (Severity C) saw an increase in their proportion, rising from 11.8% in 2024 to 13.7% in 2025.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes1%
↓-28.6%prior 7
Minor Injury35minor injury crashes6.8%
→0.0%prior 35
Possible Injury70possible injury crashes13.7%
↑7.7%prior 65
No Injury402no injury crashes78.5%
↓-9.3%prior 443

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in snowy weather significantly increased from 8 in 2024 to 20 in 2025, representing a 150% rise. Correspondingly, crashes on snowy road surfaces also rose from 8 to 20, and on icy surfaces from 1 to 6. Crashes during dawn/dusk hours increased by 40%, from 25 in 2024 to 35 in 2025.

Weather

Clear302 (59.0%)
↓-13.2%prior 348
Cloudy110 (21.5%)
↓-7.6%prior 119
Rain66 (12.9%)
↓-8.3%prior 72
Snow20 (3.9%)
↑150.0%prior 8
Other/Unknown13 (2.5%)
Fog; Smog; Smoke1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight322 (62.9%)
↓-4.7%prior 338
Dark - Lighted Roadway110 (21.5%)
↓-21.4%prior 140
Dawn/Dusk35 (6.8%)
↑40.0%prior 25
Dark - Roadway Not Lighted28 (5.5%)
↓-31.7%prior 41
Other/Unknown10 (2.0%)
↑100.0%prior 5
Dark - Unknown Roadway Lighting7 (1.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry381 (74.4%)
↓-12.6%prior 436
Wet97 (18.9%)
↓-6.7%prior 104
Snow20 (3.9%)
↑150.0%prior 8
Other/Unknown8 (1.6%)
Ice6 (1.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The age group 45-54 saw the largest increase in persons involved in crashes, rising by 26.26% from 99 in 2024 to 125 in 2025. Conversely, the 35-44 age group experienced a decrease of 12.37% in persons involved, from 186 to 163. While Chevrolet remained the top vehicle make involved in crashes, its count decreased from 167 to 134, and Toyota rose from the fourth to the second most common make, increasing from 111 to 126.

Top Vehicle Makes (1,014 vehicles)

1
CHEVROLET134 (13.2%)
↓-19.8%prior 167
2
TOYOTA126 (12.4%)
↑13.5%prior 111
3
HONDA113 (11.1%)
↓-7.4%prior 122
4
FORD104 (10.3%)
↓-19.4%prior 129
5
NISSAN70 (6.9%)
↓-4.1%prior 73
6
KIA51 (5%)
↑8.5%prior 47
7
HYUNDAI47 (4.6%)
↑17.5%prior 40
8
DODGE30 (3%)
↓-21.1%prior 38
9
JEEP27 (2.7%)
↑22.7%prior 22
10
SUBARU21 (2.1%)
↑50.0%prior 14

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (995 persons with recorded sex)

Male560 (56.3%)
↓-6.7%prior 600
Female435 (43.7%)
↑1.6%prior 428

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Forest Park, OH
  • Total crash records analyzed: 512
  • Total persons involved: 1,100
  • Total vehicles involved: 1,014

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). "Forest Park, OH Crash Intelligence Report: 2025." Published July 5, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/forest-park/2025-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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Forest Park, OH Crash Report — 2025 | ThatCarHitMe.com