Yearly Traffic Safety Analysis

47 CRASHES IN
BROOKVILLE, OH
2024

All metrics benchmarked against2023

Current year (2024) saw 47 total crashes, a slight increase from 46 crashes in the prior year (2023), representing a 2.17% rise. Total injuries decreased significantly by 58.33%, from 12 in the prior year to 5 in the current year. Notably, DUI-related crashes dropped from 5 in the prior year to 0 in the current year, a 100% reduction.

47

2.2%was 46

Total Crash Events

0

Persons Killed

5

-58.3%was 12

Persons Injured

5

-44.4%was 9

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, total crashes in Brookville remained relatively stable, with a minor increase of 2.17% from 46 crashes in the prior year to 47 crashes in the current year. Despite this slight rise in crash frequency, total injuries saw a substantial decrease of 58.33%, falling from 12 injuries in the prior year to 5 in the current year. Fatalities remained at zero in both periods.

5

Hit-and-Run Crashes — 2024

-44.4% vs prior (9)

Hit-and-run crashes decreased from 9 incidents in the prior year to 5 in the current year. This change resulted in the hit-and-run crash rate falling from 19.6% of total crashes in the prior year to 10.6% in the current year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

4

Motorists Injured

Prior: 12-66.7%

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 Friday in the prior year (10 crashes) to Thursday in the current year (10 crashes). The peak hour for crashes also shifted, with 5 PM being the peak in the prior year (5 crashes) and 6 PM becoming the peak in the current year (7 crashes). Crashes on Mondays increased from 5 to 9, while crashes on Fridays decreased from 10 to 6.

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

Fatal crashes remained at zero for both the current and prior periods. Total injuries saw a significant decrease of 58.33%, falling from 12 injuries in the prior year to 5 in the current year. Minor injuries (Severity B) decreased from 8 to 4, and possible injuries (Severity C) decreased from 2 to 1. The proportion of "No Injury" crashes increased from 78.3% in the prior year to 89.4% in the current year.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes8.5%
-50.0%prior 8
Possible Injury1possible injury crashes2.1%
-50.0%prior 2
No Injury42no injury crashes89.4%
16.7%prior 36

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 from 32 in the prior year to 36 in the current year, while those in rainy conditions decreased from 8 to 2. Crashes during daylight hours increased from 26 to 32, and crashes on dry road surfaces increased from 37 to 40. Conversely, crashes on wet road surfaces decreased from 9 to 5.

Weather

Clear36 (76.6%)
12.5%prior 32
Cloudy8 (17.0%)
60.0%prior 5
Rain2 (4.3%)
-75.0%prior 8
Snow1 (2.1%)

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

Lighting

Daylight32 (68.1%)
23.1%prior 26
Dark - Roadway Not Lighted6 (12.8%)
-33.3%prior 9
Dark - Lighted Roadway4 (8.5%)
-55.6%prior 9
Dawn/Dusk4 (8.5%)
Dark - Unknown Roadway Lighting1 (2.1%)

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

Road Surface

Dry40 (85.1%)
8.1%prior 37
Wet5 (10.6%)
-44.4%prior 9
Snow2 (4.3%)

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 from 82 in the prior year to 86 in the current year. There was a notable increase in Semi-Tractor involvement, rising from 3 vehicles in the prior year to 7 in the current year. Passenger Car involvement decreased slightly from 33 to 31, while Sport Utility Vehicle involvement increased from 17 to 20. The age group 0-15 saw a significant increase in persons involved, from 20 to 42.

Top Vehicle Makes (86 vehicles)

1
FORD14 (16.3%)
-26.3%prior 19
2
CHEVROLET14 (16.3%)
7.7%prior 13
3
TOYOTA12 (14%)
71.4%prior 7
4
DODGE8 (9.3%)
5
JEEP4 (4.7%)
6
FREIGHTLINER4 (4.7%)
7
GMC4 (4.7%)
8
NISSAN4 (4.7%)
9
HONDA4 (4.7%)
-20.0%prior 5
10
KIA2 (2.3%)

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

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

Sex Distribution (133 persons with recorded sex)

Male69 (51.9%)
30.2%prior 53
Female64 (48.1%)
52.4%prior 42

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: Brookville, OH
  • Total crash records analyzed: 47
  • Total persons involved: 136
  • Total vehicles involved: 86

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). "Brookville, 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/brookville/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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Brookville, OH Crash Report — 2024 | ThatCarHitMe.com