ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · GROVE CITY, OH · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/grove-city/2025-annual-report
Yearly Traffic Safety Analysis
1,247 CRASHES IN
GROVE CITY, OH
2025
In 2025, Grove City experienced a total of 1247 crashes, marking a 13.47% increase from the 1099 crashes reported in 2024. The most significant year-over-year shift was an 80% decrease in total fatalities, falling from 5 in 2024 to 1 in 2025.
1,247
▲ 13.5%was 1,099
Total Crash Events
1
▼ -80.0%was 5
Persons Killed
487
▲ 13.5%was 429
Persons Injured
227
▲ 29.7%was 175
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 crash incidents in Grove City increased by 13.47% year-over-year, with 1247 crashes in 2025 compared to 1099 in 2024. Despite this rise in total crashes, total fatalities significantly decreased by 80%, from 5 in 2024 to 1 in 2025. Concurrently, the number of injured persons also saw an increase of 13.52%, rising from 429 to 487.
227
Hit-and-Run Crashes — 2025
▲ 29.7% vs prior (175)
Hit-and-run crashes increased by 29.71% year-over-year, rising from 175 incidents in 2024 to 227 in 2025. This increase also led to a rise in the hit-and-run rate, which climbed from 15.9% of all crashes in 2024 to 18.2% in 2025, indicating an upward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
9
Pedestrians Injured
478
Motorists Injured
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 temporal distribution of crashes in Grove City remained consistent year-over-year, with Friday continuing to be the peak day for crashes, increasing from 187 in 2024 to 217 in 2025. Similarly, 4 p.m. remained the peak hour for crash occurrences in both periods, rising from 117 crashes in 2024 to 127 crashes in 2025. Overall, crash counts increased across most days and hours compared to the prior year.
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
Fatal crashes significantly decreased by 80% year-over-year, dropping from 5 in 2024 to 1 in 2025, resulting in a lower fatal crash rate of 0.1% compared to 0.5% previously. While serious injury crashes increased from 17 to 31, their proportion of total crashes rose from 1.5% to 2.5%. Minor and possible injury crashes also saw increases in counts, from 154 to 160 and 127 to 146 respectively, with their overall proportions remaining relatively stable.
Outcome by Severity (Crash Events)
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 conditions increased significantly, rising from 14 in 2024 to 43 in 2025, with its proportion of total crashes increasing from 1.3% to 3.5%. This is reflected in road surface conditions, where crashes on snowy surfaces increased from 9 to 41, and on icy surfaces from 3 to 9. The proportion of crashes occurring in daylight remained stable at around 70%, while crashes in dark, unlighted conditions increased from 66 to 92, and their proportion rose from 6.0% to 7.4%.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 2079 in 2024 to 2355 in 2025. While Passenger Cars, SUVs, and Pickups remained the most frequently involved vehicle types, the ranking of top makes shifted, with Chevrolet rising to the top spot with 312 vehicles, surpassing Honda which decreased from 287 to 277. All age groups, except for 16-20 year olds, saw an increase in the number of persons involved in crashes, with the 0-15 and 65+ age groups showing notable increases.
Top Vehicle Makes (2,355 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
195 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,914 persons with recorded sex)
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: Grove City, OH
- Total crash records analyzed: 1,247
- Total persons involved: 3,079
- Total vehicles involved: 2,355
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). "Grove City, 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/grove-city/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2025-01-01 – 2025-12-31
Generated: July 5, 2026 · All rights reserved