Yearly Traffic Safety Analysis

550 CRASHES IN
FOREST PARK, OH
2024

All metrics benchmarked against2023

Total crashes in Forest Park saw a minimal increase of 0.18%, rising from 549 in the prior year to 550 in the current year. A notable positive shift was observed in speeding-related crashes, which decreased by 47.3% from 74 to 39. Conversely, crashes occurring in "Dark - Lighted Roadway" conditions increased by 34.62%, from 104 to 140.

550

▲ 0.2%was 549

Total Crash Events

0

Persons Killed

156

▼ -2.5%was 160

Persons Injured

153

▲ 2.0%was 150

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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Forest Park remained relatively stable year-over-year, with total crashes increasing by a marginal 0.18% from 549 to 550. Total injuries experienced a slight decrease of 2.5%, falling from 160 to 156. Both periods reported zero fatalities, indicating no change in the most severe crash outcome.

153

Hit-and-Run Crashes — 2024

▲ 2.0% vs prior (150)

Hit-and-run crashes increased by 2.0%, rising from 150 in the prior year to 153 in the current year. The hit-and-run rate also saw a slight increase of 0.5 percentage points, moving from 27.3% to 27.8% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

3

Pedestrians Injured

Prior: 5↓-40.0%

153

Motorists Injured

Prior: 155↓-1.3%

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 Saturday, which had 93 crashes in the prior year, to Friday, with 89 crashes in the current year. The peak hour for crashes shifted from 1 PM in the prior year to 5 PM in the current year, though both hours recorded 48 crashes. Monthly crash counts varied, with the current year showing 60 crashes in October as its highest, while the prior year's highest was 63 crashes in May.

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 number of serious injury crashes (Severity A) remained consistent at 7 for both periods, and no fatalities were reported in either year. Minor injury crashes (Severity B) decreased by 20.45%, from 44 to 35, while possible injury crashes (Severity C) also saw a reduction of 7.14%, from 70 to 65. Conversely, crashes resulting in no injuries (Severity O) increased by 3.50%, from 428 to 443.

Outcome by Severity (Crash Events)

Serious Injury7serious injury crashes1.3%
→0.0%prior 7
Minor Injury35minor injury crashes6.4%
↓-20.5%prior 44
Possible Injury65possible injury crashes11.8%
↓-7.1%prior 70
No Injury443no injury crashes80.5%
↑3.5%prior 428

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 increased by 5.78% (from 329 to 348), while cloudy conditions saw an 11.19% decrease (from 134 to 119). Crashes during daylight decreased by 12.66% (from 387 to 338), but those in "Dark - Lighted Roadway" conditions increased significantly by 34.62% (from 104 to 140). Crashes on dry road surfaces increased by 2.35% (from 426 to 436), and snow-related road surface crashes quadrupled from 2 to 8.

Weather

Clear348 (63.3%)
↑5.8%prior 329
Cloudy119 (21.6%)
↓-11.2%prior 134
Rain72 (13.1%)
↓-2.7%prior 74
Snow8 (1.5%)
Other/Unknown2 (0.4%)
↓-71.4%prior 7
Freezing Rain or Freezing Drizzle1 (0.2%)

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

Lighting

Daylight338 (61.5%)
↓-12.7%prior 387
Dark - Lighted Roadway140 (25.5%)
↑34.6%prior 104
Dark - Roadway Not Lighted41 (7.5%)
↑24.2%prior 33
Dawn/Dusk25 (4.5%)
↑78.6%prior 14
Other/Unknown5 (0.9%)
↓-50.0%prior 10
Dark - Unknown Roadway Lighting1 (0.2%)

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

Road Surface

Dry436 (79.3%)
↑2.3%prior 426
Wet104 (18.9%)
↓-5.5%prior 110
Snow8 (1.5%)
Ice1 (0.2%)
Other/Unknown1 (0.2%)
↓-87.5%prior 8

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 increased slightly by 0.28%, from 1069 to 1072. Passenger car involvement decreased by 6.82% (from 777 to 724), while Sport Utility Vehicle involvement increased substantially by 43.41% (from 129 to 185). Chevrolet became the most frequently involved make, increasing its count by 24.63% (from 134 to 167), while Honda, previously the top make, saw a 10.29% decrease (from 136 to 122).

Top Vehicle Makes (1,072 vehicles)

1
CHEVROLET167 (15.6%)
↑24.6%prior 134
2
FORD129 (12%)
↓-5.1%prior 136
3
HONDA122 (11.4%)
↓-10.3%prior 136
4
TOYOTA111 (10.4%)
↓-4.3%prior 116
5
NISSAN73 (6.8%)
↑37.7%prior 53
6
KIA47 (4.4%)
↑20.5%prior 39
7
HYUNDAI40 (3.7%)
↓-2.4%prior 41
8
DODGE38 (3.5%)
↓-5.0%prior 40
9
GMC22 (2.1%)
↓-4.3%prior 23
10
JEEP22 (2.1%)
↓-38.9%prior 36

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

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

Sex Distribution (1,028 persons with recorded sex)

Male600 (58.4%)
↓-1.3%prior 608
Female428 (41.6%)
↓-14.6%prior 501

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 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Forest Park, OH
  • Total crash records analyzed: 550
  • Total persons involved: 1,140
  • Total vehicles involved: 1,072

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: 2024." Published July 5, 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/forest-park/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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Forest Park, OH Crash Report — 2024 | ThatCarHitMe.com