Yearly Traffic Safety Analysis

5,523 CRASHES IN
AKRON, OH
2024

All metrics benchmarked against2023

In 2024, Akron experienced 5523 total crashes, a decrease of 5.0% from 5813 crashes in 2023. Total fatalities also decreased significantly, dropping by 27.3% from 22 in 2023 to 16 in 2024. The most notable year-over-year shift was an 83.3% decrease in pedestrians killed, from 6 in 2023 to 1 in 2024.

5,523

▼ -5.0%was 5,813

Total Crash Events

16

▼ -27.3%was 22

Persons Killed

1,818

▼ -3.0%was 1,875

Persons Injured

1,509

▼ -12.0%was 1,714

Hit-and-Run Crashes

Note: "Persons Killed" (16) counts individual fatalities across all crash events. "Fatal" in the severity table below (16) 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 data for Akron shows a declining trend year-over-year. Total crashes decreased by 5.0%, from 5813 in 2023 to 5523 in 2024. This reduction was accompanied by a 27.3% decrease in total fatalities, from 22 to 16, and a 3.0% decrease in total injuries, from 1875 to 1818.

1,509

Hit-and-Run Crashes — 2024

▼ -12.0% vs prior (1,714)

Hit-and-run crashes decreased from 1714 in 2023 to 1509 in 2024, representing a 12.0% reduction. The hit-and-run rate also saw a decline, moving from 29.5% in 2023 to 27.3% in 2024. This indicates a positive trend with fewer crashes involving a hit-and-run component.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 6↓-83.3%

15

Motorists Killed

Prior: 16↓-6.3%

58

Pedestrians Injured

Prior: 88↓-34.1%

1,760

Motorists Injured

Prior: 1,787↓-1.5%

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 remained Friday in both periods, though the number of crashes on Fridays decreased from 974 in 2023 to 913 in 2024. Similarly, the peak hour for crashes was 4 p.m. in both years, with counts decreasing from 502 in 2023 to 458 in 2024. This indicates a consistent temporal pattern despite an overall reduction in crash incidents.

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

The fatal crash rate decreased from 0.38% in 2023 to 0.29% in 2024. All injury severity categories saw a reduction in count year-over-year, with serious injury crashes decreasing from 95 to 84, minor injury crashes from 630 to 616, and possible injury crashes from 579 to 562. Crashes with no injuries also decreased from 4487 to 4245.

Outcome by Severity (Crash Events)

Fatal16fatal crashes0.3%
↓-27.3%prior 22
Serious Injury84serious injury crashes1.5%
↓-11.6%prior 95
Minor Injury616minor injury crashes11.2%
↓-2.2%prior 630
Possible Injury562possible injury crashes10.2%
↓-2.9%prior 579
No Injury4,245no injury crashes76.9%
↓-5.4%prior 4,487

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 slightly from 3244 in 2023 to 3337 in 2024, while those in 'Cloudy' conditions decreased from 1535 to 1261. Crashes during 'Daylight' decreased from 3778 to 3638, and those on 'Dry' road surfaces decreased from 4357 to 4211. This suggests a slight shift in the distribution of weather and lighting conditions associated with crashes, with fewer crashes occurring in adverse weather.

Weather

Clear3,337 (60.4%)
↑2.9%prior 3,244
Cloudy1,261 (22.8%)
↓-17.9%prior 1,535
Rain638 (11.6%)
↓-7.0%prior 686
Snow169 (3.1%)
↓-10.6%prior 189
Other/Unknown93 (1.7%)
↓-23.1%prior 121
Freezing Rain or Freezing Drizzle12 (0.2%)
Sleet; Hail7 (0.1%)
Fog; Smog; Smoke4 (0.1%)
↓-86.2%prior 29
Blowing Sand; Soil; Dirt; Snow1 (0.0%)
Severe Crosswinds1 (0.0%)

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

Lighting

Daylight3,638 (65.9%)
↓-3.7%prior 3,778
Dark - Lighted Roadway1,354 (24.5%)
↓-8.8%prior 1,485
Dawn/Dusk300 (5.4%)
↓-1.3%prior 304
Dark - Roadway Not Lighted118 (2.1%)
↓-0.8%prior 119
Other/Unknown82 (1.5%)
↓-6.8%prior 88
Dark - Unknown Roadway Lighting31 (0.6%)
↓-20.5%prior 39

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

Road Surface

Dry4,211 (76.2%)
↓-3.4%prior 4,357
Wet1,051 (19.0%)
↓-10.4%prior 1,173
Snow126 (2.3%)
↑7.7%prior 117
Other/Unknown88 (1.6%)
↓-23.5%prior 115
Ice37 (0.7%)
↓-2.6%prior 38
Slush5 (0.1%)
→0.0%prior 5
Water (Standing; Moving)3 (0.1%)
↓-57.1%prior 7
Sand; Mud; Dirt; Oil; Gravel2 (0.0%)

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 11208 in 2023 to 10715 in 2024. Passenger Cars remained the most common vehicle type, though their involvement decreased from 4883 to 4673. Notably, Ford became the top vehicle make involved in crashes in 2024 with 1468 incidents, surpassing Chevrolet which had 1477 incidents in 2023 but decreased to 1376 in 2024.

Top Vehicle Makes (10,715 vehicles)

1
FORD1,468 (13.7%)
↑1.9%prior 1,441
2
CHEVROLET1,376 (12.8%)
↓-6.8%prior 1,477
3
HONDA783 (7.3%)
↑1.8%prior 769
4
TOYOTA691 (6.4%)
↓-6.6%prior 740
5
KIA643 (6%)
↓-5.0%prior 677
6
NISSAN519 (4.8%)
↑1.2%prior 513
7
JEEP490 (4.6%)
→0.0%prior 490
8
DODGE459 (4.3%)
↓-10.7%prior 514
9
HYUNDAI440 (4.1%)
↓-14.4%prior 514
10
OTHER/UNKNOWN275 (2.6%)
↑24.4%prior 221

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

1,544 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (12,031 persons with recorded sex)

Male6,441 (53.5%)
↓-2.4%prior 6,600
Female5,590 (46.5%)
↓-2.4%prior 5,727

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: Akron, OH
  • Total crash records analyzed: 5,523
  • Total persons involved: 13,506
  • Total vehicles involved: 10,715

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: 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/akron/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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Akron, OH Crash Report — 2024 | ThatCarHitMe.com