Yearly Traffic Safety Analysis

5,813 CRASHES IN
AKRON, OH
2023

All metrics benchmarked against2022

In Akron, total crashes decreased by 15.0%, from 6,835 in 2022 to 5,813 in 2023. Despite this overall reduction, total fatalities increased by 4.8%, rising from 21 in 2022 to 22 in 2023. The most notable shift was a 46.2% increase in the fatal crash rate, which rose from 0.26% to 0.38%.

5,813

▼ -15.0%was 6,835

Total Crash Events

22

▲ 4.8%was 21

Persons Killed

1,875

▼ -6.6%was 2,008

Persons Injured

1,714

▼ -16.5%was 2,053

Hit-and-Run Crashes

Note: "Persons Killed" (22) counts individual fatalities across all crash events. "Fatal" in the severity table below (22) 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 data for Akron shows a downward trend year-over-year, with total crashes decreasing by 15.0% from 6,835 in 2022 to 5,813 in 2023. Total injuries also decreased by 6.6%, from 2,008 in 2022 to 1,875 in 2023. However, total fatalities saw a slight increase of 4.8% during this period.

1,714

Hit-and-Run Crashes — 2023

▼ -16.5% vs prior (2,053)

The number of hit-and-run crashes decreased by 16.5%, from 2,053 in 2022 to 1,714 in 2023. The hit-and-run rate also saw a slight decrease, moving from 30.0% of all crashes in 2022 to 29.5% in 2023. This indicates a proportional reduction in hit-and-run incidents relative to the overall decline in crashes.

Vulnerable Road User Casualties

6

Pedestrians Killed

Prior: 4↑50.0%

16

Motorists Killed

Prior: 17↓-5.9%

88

Pedestrians Injured

Prior: 71↑23.9%

1,787

Motorists Injured

Prior: 1,937↓-7.7%

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

The temporal patterns for crashes remained consistent, with Friday being the peak day for crashes in both 2022 (1,203 crashes) and 2023 (974 crashes). The peak hour also remained 4 PM in both years, although the number of crashes at this hour decreased from 575 in 2022 to 502 in 2023. All days of the week and hours of the day experienced a decrease in crash counts year-over-year.

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 in Akron increased by 46.2%, from 0.26% in 2022 to 0.38% in 2023. While total injuries decreased by 6.6%, the number of serious injury crashes (severity A) increased by 39.7%, from 68 in 2022 to 95 in 2023. Minor injury crashes (severity B) decreased by 3.1%, and possible injury crashes (severity C) decreased by 17.4%.

Outcome by Severity (Crash Events)

Fatal22fatal crashes0.4%
↑22.2%prior 18
Serious Injury95serious injury crashes1.6%
↑39.7%prior 68
Minor Injury630minor injury crashes10.8%
↓-3.1%prior 650
Possible Injury579possible injury crashes10%
↓-17.4%prior 701
No Injury4,487no injury crashes77.2%
↓-16.9%prior 5,398

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

Crashes occurring in clear weather conditions decreased by 15.3%, from 3,828 in 2022 to 3,244 in 2023, aligning with the overall decrease in crashes. Crashes during snow conditions saw a significant decrease of 47.5%, from 360 in 2022 to 189 in 2023. Conversely, crashes during rain conditions increased by 9.9%, from 624 in 2022 to 686 in 2023.

Weather

Clear3,244 (55.8%)
↓-15.3%prior 3,828
Cloudy1,535 (26.4%)
↓-16.1%prior 1,829
Rain686 (11.8%)
↑9.9%prior 624
Snow189 (3.3%)
↓-47.5%prior 360
Other/Unknown121 (2.1%)
↓-21.9%prior 155
Fog; Smog; Smoke29 (0.5%)
↑45.0%prior 20
Freezing Rain or Freezing Drizzle4 (0.1%)
↓-20.0%prior 5
Severe Crosswinds3 (0.1%)
Sleet; Hail2 (0.0%)
↓-66.7%prior 6

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

Lighting

Daylight3,778 (65.0%)
↓-15.1%prior 4,450
Dark - Lighted Roadway1,485 (25.5%)
↓-18.6%prior 1,824
Dawn/Dusk304 (5.2%)
↑2.4%prior 297
Dark - Roadway Not Lighted119 (2.0%)
↑7.2%prior 111
Other/Unknown88 (1.5%)
↓-19.3%prior 109
Dark - Unknown Roadway Lighting39 (0.7%)
↓-11.4%prior 44

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

Road Surface

Dry4,357 (75.0%)
↓-13.1%prior 5,014
Wet1,173 (20.2%)
↓-7.5%prior 1,268
Snow117 (2.0%)
↓-65.1%prior 335
Other/Unknown115 (2.0%)
↓-15.4%prior 136
Ice38 (0.7%)
↓-33.3%prior 57
Water (Standing; Moving)7 (0.1%)
Slush5 (0.1%)
↓-77.3%prior 22
Sand; Mud; Dirt; Oil; Gravel1 (0.0%)

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 14.3%, from 13,084 in 2022 to 11,208 in 2023. Passenger cars involved in crashes decreased by 15.0%, and sport utility vehicles decreased by 14.1%. Among specific makes, Chevrolet vehicles involved in crashes decreased by 19.6%, and Ford vehicles decreased by 17.7% year-over-year.

Top Vehicle Makes (11,208 vehicles)

1
CHEVROLET1,477 (13.2%)
↓-19.6%prior 1,838
2
FORD1,441 (12.9%)
↓-17.7%prior 1,751
3
HONDA769 (6.9%)
↓-16.2%prior 918
4
TOYOTA740 (6.6%)
↓-8.1%prior 805
5
KIA677 (6%)
↑0.9%prior 671
6
DODGE514 (4.6%)
↓-29.2%prior 726
7
HYUNDAI514 (4.6%)
↓-14.5%prior 601
8
NISSAN513 (4.6%)
↓-19.1%prior 634
9
JEEP490 (4.4%)
↓-12.8%prior 562
10
GMC251 (2.2%)
↓-18.2%prior 307

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

1,708 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (12,327 persons with recorded sex)

Male6,600 (53.5%)
↓-12.5%prior 7,543
Female5,727 (46.5%)
↓-13.5%prior 6,624

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 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Akron, OH
  • Total crash records analyzed: 5,813
  • Total persons involved: 13,966
  • Total vehicles involved: 11,208

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). "Akron, OH Crash Intelligence Report: 2023." Published July 5, 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/akron/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

Akron, OH Crash Report — 2023 | ThatCarHitMe.com