Yearly Traffic Safety Analysis

297 CRASHES IN
ALLIANCE, OH
2023

All metrics benchmarked against2022

Total crashes decreased from 389 in 2022 to 297 in 2023, representing a 23.65% reduction. The most notable shift was the increase in total fatalities, from 0 in 2022 to 1 in 2023. This indicates a decrease in overall crash volume but a concerning rise in fatal outcomes.

297

▼ -23.7%was 389

Total Crash Events

1

Persons Killed

80

▼ -25.2%was 107

Persons Injured

27

▼ -42.6%was 47

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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends show a significant decrease, with total crashes falling by 23.65% from 389 in 2022 to 297 in 2023. Despite this reduction in crash volume, total fatalities increased from 0 in 2022 to 1 in 2023. Total injuries also saw a notable decline, decreasing by 25.23% from 107 in 2022 to 80 in 2023.

27

Hit-and-Run Crashes — 2023

▼ -42.6% vs prior (47)

Hit-and-run crashes decreased significantly by 42.55%, from 47 incidents in 2022 to 27 in 2023. Consequently, the hit-and-run crash rate also decreased from 12.1% of all crashes in 2022 to 9.1% in 2023. This represents a 3 percentage point reduction in the overall hit-and-run rate.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

1

Motorists Killed

Prior: 0→%

2

Pedestrians Injured

Prior: 6↓-66.7%

78

Motorists Injured

Prior: 101↓-22.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Friday remained the peak day for crashes in both years, though the number of crashes on Fridays decreased from 85 in 2022 to 55 in 2023. The peak hour for crashes shifted from 4 p.m. with 42 crashes in 2022 to 5 p.m. with 36 crashes in 2023. While the peak day remained consistent, crash counts were lower across most days of the week in 2023 compared to 2022.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0% in 2022 to 0.34% in 2023, corresponding to an increase from 0 to 1 total fatality. Serious injury crashes (severity A) increased slightly from 7 in 2022 to 8 in 2023, representing a 14.3% rise. Conversely, minor injury crashes (severity B) decreased by 27.8% (from 36 to 26), and possible injury crashes (severity C) decreased by 52.5% (from 40 to 19).

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
Serious Injury8serious injury crashes2.7%
↑14.3%prior 7
Minor Injury26minor injury crashes8.8%
↓-27.8%prior 36
Possible Injury19possible injury crashes6.4%
↓-52.5%prior 40
No Injury243no injury crashes81.8%
↓-20.6%prior 306

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring on dry road surfaces increased from 75.8% in 2022 to 82.5% in 2023, while crashes on snowy and icy roads significantly decreased by 75% each. Crashes during clear weather conditions maintained a similar proportion (54.5% to 55.6%), but crashes during rain increased in proportion from 6.4% to 10.8%. The proportion of crashes occurring in daylight slightly increased from 70.4% in 2022 to 72.7% in 2023.

Weather

Clear165 (55.6%)
↓-22.2%prior 212
Cloudy84 (28.3%)
↓-35.4%prior 130
Rain32 (10.8%)
↑28.0%prior 25
Snow11 (3.7%)
↓-31.3%prior 16
Other/Unknown5 (1.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight216 (72.7%)
↓-21.2%prior 274
Dark - Lighted Roadway44 (14.8%)
↓-34.3%prior 67
Dark - Roadway Not Lighted17 (5.7%)
↓-5.6%prior 18
Dawn/Dusk11 (3.7%)
↓-47.6%prior 21
Other/Unknown8 (2.7%)
Dark - Unknown Roadway Lighting1 (0.3%)
↓-80.0%prior 5

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry245 (82.5%)
↓-16.9%prior 295
Wet38 (12.8%)
↓-22.4%prior 49
Snow6 (2.0%)
↓-75.0%prior 24
Other/Unknown3 (1.0%)
↓-50.0%prior 6
Ice2 (0.7%)
↓-75.0%prior 8
Water (Standing; Moving)2 (0.7%)
↓-60.0%prior 5
Slush1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 22.8%, from 754 in 2022 to 582 in 2023. Passenger cars and SUVs continued to be the most frequently involved vehicle types, with passenger car involvement decreasing by 28.9% (from 450 to 320). Notably, motorcycle involvement dropped from 8 in 2022 to 0 in 2023, and pedestrian involvement decreased by 66.7% from 6 to 2. Chevrolet and Ford remained the top two vehicle makes involved in crashes for both years, experiencing decreases of 20.7% and 23.8% respectively.

Top Vehicle Makes (582 vehicles)

1
CHEVROLET115 (19.8%)
↓-20.7%prior 145
2
FORD96 (16.5%)
↓-23.8%prior 126
3
DODGE48 (8.2%)
↓-11.1%prior 54
4
OTHER/UNKNOWN38 (6.5%)
↑5.6%prior 36
5
HONDA33 (5.7%)
↓-17.5%prior 40
6
KIA32 (5.5%)
↓-27.3%prior 44
7
TOYOTA31 (5.3%)
↓-11.4%prior 35
8
JEEP30 (5.2%)
↓-33.3%prior 45
9
BUICK26 (4.5%)
↑85.7%prior 14
10
NISSAN20 (3.4%)
↓-9.1%prior 22

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (691 persons with recorded sex)

Female374 (54.1%)
↓-12.8%prior 429
Male317 (45.9%)
↓-23.4%prior 414

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Alliance, OH
  • Total crash records analyzed: 297
  • Total persons involved: 714
  • Total vehicles involved: 582

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). "Alliance, OH Crash Intelligence Report: 2023." Published July 6, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/alliance/2023-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

Alliance, OH Crash Report — 2023 | ThatCarHitMe.com