Yearly Traffic Safety Analysis

77 CRASHES IN
GRANDVIEW HEIGHTS, OH
2024

All metrics benchmarked against2023

In 2024, Grandview Heights recorded 77 crashes, a 10.47% decrease compared to 86 crashes in 2023. Total injuries also decreased from 16 to 13. A notable shift was the 100% increase in serious injury crashes, rising from 2 in 2023 to 4 in 2024.

77

-10.5%was 86

Total Crash Events

0

Persons Killed

13

-18.8%was 16

Persons Injured

19

-20.8%was 24

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, Grandview Heights experienced a decrease in crash activity year-over-year. Total crashes fell by 10.47%, from 86 crashes in 2023 to 77 crashes in 2024. Similarly, total injuries decreased by 18.75%, from 16 in 2023 to 13 in 2024.

19

Hit-and-Run Crashes — 2024

-20.8% vs prior (24)

The number of hit-and-run crashes decreased from 24 in 2023 to 19 in 2024. This represents a decrease in the hit-and-run rate from 27.9% in 2023 to 24.7% in 2024. Overall, the hit-and-run rate is trending downwards.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 30.0%

10

Motorists Injured

Prior: 13-23.1%

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 temporal patterns of crashes shifted year-over-year. The peak day for crashes changed from Thursday in 2023, with 15 incidents, to Tuesday in 2024, which recorded 17 crashes. The peak hour also moved from 12 p.m. in 2023 (11 crashes) to 6 p.m. in 2024 (10 crashes).

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

While total fatalities remained at zero for both periods, there was a notable shift in injury severity. Serious injury crashes (Severity A) increased by 100%, from 2 crashes in 2023 to 4 crashes in 2024. Conversely, minor injury crashes (Severity B) decreased significantly from 8 to 3, and total injuries fell from 16 to 13.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes5.2%
100.0%prior 2
Minor Injury3minor injury crashes3.9%
-62.5%prior 8
Possible Injury5possible injury crashes6.5%
0.0%prior 5
No Injury65no injury crashes84.4%
-8.5%prior 71

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 decreased from 52 in 2023 to 51 in 2024, while crashes during rainy conditions increased from 6 to 8. Similarly, crashes on dry road surfaces decreased from 70 to 64 year-over-year. Crashes in daylight conditions also saw a slight decrease, from 59 in 2023 to 56 in 2024.

Weather

Clear51 (66.2%)
-1.9%prior 52
Cloudy13 (16.9%)
-38.1%prior 21
Rain8 (10.4%)
33.3%prior 6
Other/Unknown3 (3.9%)
-50.0%prior 6
Snow2 (2.6%)

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

Lighting

Daylight56 (72.7%)
-5.1%prior 59
Dark - Lighted Roadway12 (15.6%)
-14.3%prior 14
Other/Unknown3 (3.9%)
-50.0%prior 6
Dark - Roadway Not Lighted2 (2.6%)
Dark - Unknown Roadway Lighting2 (2.6%)
Dawn/Dusk2 (2.6%)

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

Road Surface

Dry64 (83.1%)
-8.6%prior 70
Wet11 (14.3%)
-8.3%prior 12
Other/Unknown1 (1.3%)
Snow1 (1.3%)

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

Vehicles & Demographics

The types of vehicles involved in crashes saw some shifts; passenger cars decreased from 78 to 73, while sport utility vehicles increased from 42 to 48. Among top makes, HONDA-involved crashes increased from 22 to 27, while CHEVROLET-involved crashes decreased from 18 to 10. Regarding persons involved, the 16-20 age group saw a significant decrease from 23 to 6, while the 65+ age group increased from 9 to 17.

Top Vehicle Makes (149 vehicles)

1
HONDA27 (18.1%)
22.7%prior 22
2
FORD16 (10.7%)
33.3%prior 12
3
TOYOTA14 (9.4%)
7.7%prior 13
4
CHEVROLET10 (6.7%)
-44.4%prior 18
5
HYUNDAI8 (5.4%)
33.3%prior 6
6
SUBARU6 (4%)
-14.3%prior 7
7
JEEP6 (4%)
-14.3%prior 7
8
BMW5 (3.4%)
0.0%prior 5
9
NISSAN5 (3.4%)
-44.4%prior 9
10
KIA4 (2.7%)
-33.3%prior 6

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

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

Sex Distribution (130 persons with recorded sex)

Male78 (60.0%)
-11.4%prior 88
Female52 (40.0%)
8.3%prior 48

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: Grandview Heights, OH
  • Total crash records analyzed: 77
  • Total persons involved: 144
  • Total vehicles involved: 149

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). "Grandview Heights, 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/grandview-heights/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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Grandview Heights, OH Crash Report — 2024 | ThatCarHitMe.com