Yearly Traffic Safety Analysis

515 CRASHES IN
BLUE ASH, OH
2024

All metrics benchmarked against2023

Total crashes in Blue Ash decreased by 4.80%, from 541 in 2023 to 515 in 2024. While overall crashes declined, a significant shift was observed in fatalities, increasing from 0 in 2023 to 1 in 2024. Total injuries also saw a decrease, falling from 152 to 141.

515

-4.8%was 541

Total Crash Events

1

Persons Killed

141

-7.2%was 152

Persons Injured

62

-17.3%was 75

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

Trend Summary

Overall crash incidents in Blue Ash experienced a slight decline year-over-year, decreasing by 4.80% from 541 crashes in 2023 to 515 in 2024. Despite this reduction in total crashes, fatalities increased from 0 in 2023 to 1 in 2024, indicating a worsening outcome for some incidents. Total injuries decreased by 7.24%, from 152 to 141.

62

Hit-and-Run Crashes — 2024

-17.3% vs prior (75)

Hit-and-run crashes decreased from 75 incidents in 2023 to 62 incidents in 2024. This change also led to a reduction in the hit-and-run rate, which fell from 13.9% of all crashes in 2023 to 12% in 2024.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

2

Pedestrians Injured

Prior: 3-33.3%

139

Motorists Injured

Prior: 149-6.7%

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 Wednesday with 105 incidents in 2023 to Tuesday with 107 incidents in 2024. The peak hour for crashes remained consistently at 5 PM in both years, with 54 crashes recorded during this hour in both 2023 and 2024. Notably, Friday crashes increased from 82 to 97, while Thursday crashes decreased from 98 to 78.

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

A notable change in crash severity was the increase in total fatalities from 0 in 2023 to 1 in 2024, resulting in a fatal crash rate of 0.19% in 2024 compared to 0% in 2023. Crashes resulting in serious injuries remained constant at 5 incidents in both years, though their proportion slightly increased from 0.9% to 1% of all crashes. Minor injury crashes decreased from 52 to 51, and possible injury crashes decreased from 46 to 40.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Serious Injury5serious injury crashes1%
0.0%prior 5
Minor Injury51minor injury crashes9.9%
-1.9%prior 52
Possible Injury40possible injury crashes7.8%
-13.0%prior 46
No Injury418no injury crashes81.2%
-4.6%prior 438

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 349 in 2023 to 315 in 2024, while crashes during rain increased from 59 to 86 incidents. On dry road surfaces, crashes decreased from 439 to 381, but wet road crashes increased from 100 to 122. Crashes during daylight hours decreased from 419 to 396, while those during dawn/dusk increased from 27 to 30.

Weather

Clear315 (61.2%)
-9.7%prior 349
Cloudy97 (18.8%)
-17.8%prior 118
Rain86 (16.7%)
45.8%prior 59
Snow14 (2.7%)
16.7%prior 12
Other/Unknown2 (0.4%)
Fog; Smog; Smoke1 (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

Daylight396 (76.9%)
-5.5%prior 419
Dark - Lighted Roadway71 (13.8%)
-2.7%prior 73
Dawn/Dusk30 (5.8%)
11.1%prior 27
Dark - Roadway Not Lighted13 (2.5%)
-35.0%prior 20
Other/Unknown4 (0.8%)
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

Dry381 (74.0%)
-13.2%prior 439
Wet122 (23.7%)
22.0%prior 100
Snow5 (1.0%)
Ice3 (0.6%)
Other/Unknown3 (0.6%)
Slush1 (0.2%)

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 decreased from 1085 in 2023 to 1024 in 2024. While Passenger Car involvement decreased from 679 to 654 and Sport Utility Vehicle involvement decreased from 221 to 210, Pick up involvement increased from 60 to 77. Among age groups, persons aged 26-34 and 35-44 saw an increase in their representation in crash data, from 194 to 213 and 174 to 199 respectively, while most other age groups experienced decreases.

Top Vehicle Makes (1,024 vehicles)

1
TOYOTA141 (13.8%)
2.2%prior 138
2
HONDA133 (13%)
0.0%prior 133
3
FORD126 (12.3%)
-1.6%prior 128
4
CHEVROLET119 (11.6%)
4.4%prior 114
5
NISSAN56 (5.5%)
3.7%prior 54
6
KIA44 (4.3%)
-13.7%prior 51
7
HYUNDAI39 (3.8%)
-7.1%prior 42
8
SUBARU31 (3%)
24.0%prior 25
9
VOLKSWAGEN28 (2.7%)
64.7%prior 17
10
MAZDA28 (2.7%)
12.0%prior 25

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

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

Sex Distribution (1,241 persons with recorded sex)

Male661 (53.3%)
-0.2%prior 662
Female580 (46.7%)
-4.4%prior 607

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 6, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Blue Ash, OH
  • Total crash records analyzed: 515
  • Total persons involved: 1,280
  • Total vehicles involved: 1,024

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). "Blue Ash, OH Crash Intelligence Report: 2024." Published July 6, 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/blue-ash/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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Blue Ash, OH Crash Report — 2024 | ThatCarHitMe.com