Yearly Traffic Safety Analysis

6,523 CRASHES IN
AKRON, OH
2021

In 2021, Akron experienced a total of 6,523 crashes, resulting in 26 fatalities and 2,100 injuries. A significant finding is that 32.5% of all crashes, totaling 2,117 incidents, were reported as hit-and-run events.

6,523

Total Crash Events

26

Persons Killed

2,100

Persons Injured

32.5%

Hit-and-Run Rate

Note: "Persons Killed" (26) counts individual fatalities across all crash events. "Fatal" in the severity table below (24) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

2,117

Hit-and-Run Crashes — 2021

Hit-and-run incidents accounted for 2,117 crashes in Akron during 2021, representing 32.5% of all reported crashes. This status is based on the initial determination made by the responding officer at the scene of the incident.

Vulnerable Road User Casualties

Motorists constituted the largest group of those killed or injured, with 22 fatalities and 2,024 injuries. Pedestrians, a vulnerable road user group, experienced 4 fatalities and 76 injuries. No cyclist fatalities or injuries were reported in 2021.

4

Pedestrians Killed

22

Motorists Killed

76

Pedestrians Injured

2,024

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes in Akron during 2021 peaked on Fridays, with 1,013 incidents recorded, and the most frequent hour for crashes was 6 PM, with 476 occurrences. Approximately 59.9% of crashes (3,914 incidents) occurred during daytime hours (6 AM to 6 PM), while 40.1% (2,609 incidents) happened during nighttime hours (7 PM to 5 AM).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes in 2021, 77.5% (5,057 incidents), resulted in no reported injuries. Injury-involved crashes, encompassing serious, minor, and possible injuries, collectively accounted for 22.1% (1,442 incidents). There were 24 fatal crashes recorded, which resulted in a total of 26 fatalities.

Severity is per crash event (most severe injury). 24 fatal crash events resulted in 26 persons killed.

Outcome by Severity (Crash Events)

Fatal24fatal crashes0.4%
Serious Injury114serious injury crashes1.7%
Minor Injury592minor injury crashes9.1%
Possible Injury736possible injury crashes11.3%
No Injury5,057no injury crashes77.5%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record

Road & Environmental Conditions

A majority of crashes in 2021 occurred under favorable conditions, with 55.4% happening in clear weather, 76.7% on dry road surfaces, and 64.4% during daylight hours. Conversely, 13.4% of crashes occurred in adverse weather conditions such as rain or snow, 21.6% on wet or icy road surfaces, and 29.6% in dark conditions.

Weather

Clear3,612 (55.4%)
Cloudy1,858 (28.5%)
Rain648 (9.9%)
Snow214 (3.3%)
Other/Unknown180 (2.8%)
Fog; Smog; Smoke5 (0.1%)
Sleet; Hail3 (0.0%)
Freezing Rain or Freezing Drizzle2 (0.0%)
Severe Crosswinds1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight4,200 (64.4%)
Dark - Lighted Roadway1,805 (27.7%)
Dawn/Dusk253 (3.9%)
Other/Unknown136 (2.1%)
Dark - Roadway Not Lighted84 (1.3%)
Dark - Unknown Roadway Lighting45 (0.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry5,002 (76.7%)
Wet1,196 (18.3%)
Ice113 (1.7%)
Other/Unknown113 (1.7%)
Snow96 (1.5%)
Slush2 (0.0%)
Water (Standing; Moving)1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field

Vehicles & Demographics

The age group 26-34 was most represented among persons involved in crashes, with 2,559 individuals. Passenger cars were the most frequently involved vehicle type, and Ford and Chevrolet vehicles were almost equally represented as the top two makes, with 1,754 and 1,753 occurrences respectively.

Top Vehicle Makes (12,593 vehicles)

1
FORD1,754 (13.9%)
2
CHEVROLET1,753 (13.9%)
3
HONDA846 (6.7%)
4
TOYOTA798 (6.3%)
5
DODGE642 (5.1%)
6
HYUNDAI600 (4.8%)
7
NISSAN580 (4.6%)
8
KIA568 (4.5%)
9
JEEP508 (4%)
10
CHRYSLER302 (2.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

2,095 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (13,501 persons with recorded sex)

Male7,181 (53.2%)
Female6,320 (46.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The vast majority of crashes, 5,870 incidents, occurred on the roadway itself. However, 458 crashes, or 7.0% of the total, took place off the primary travel lanes, including on the roadside, shoulder, median, or outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 6 smaller categories (57 records): Other/Unknown (35), In Median (13), On Gore (5), Shared-use paths or trails (2), Crossover (1), Bike Lane (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Traffic Control Device

Traffic control data indicates that 63.2% of crash observations (7,899 units) occurred at locations with no traffic control present. Signalized intersections accounted for 27.0% of crash observations (3,377 units), making 'No Control' the dominant traffic control condition at crash sites.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Driver Contributing Factor

Among contributing factors, 'Other Improper Action' was the most cited, accounting for 33.2% of reported driver actions. 'Following too Close / ACDA' was the second most common factor at 22.7%, followed by 'Failure to Yield' at 8.4%.

Driver Contributing Factor

1
Other Improper Action2,137 (32%)
2
Following too Close / ACDA1,464 (21.9%)
3
Failure to Yield542 (8.1%)
4
Improper Lane Change457 (6.8%)
5
Improper Turn327 (4.9%)
6
Improper Backing297 (4.4%)
7
Ran Red Light291 (4.4%)
8
Ran Stop Sign277 (4.1%)
9
Not Discernible259 (3.9%)

Showing top 9 of 23 reported. 14 additional (631 total) not shown: Drove off Road, Left of Center, Improper Passing, Unsafe Speed, Swerving to Avoid, Load shifting/Falling/Spilling, Improper Crossing, Operating Defective Equipment, Improper Start From a Parked Position, Stopped or Parked Illegally, Wrong Way, Vision Obstruction, Opening Door into Roadway, Lying in Roadway.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Commercial / Truck Involvement

Commercial vehicles were involved in 362 crashes, representing 5.5% of all incidents. Of these, 195 involved 'Other Commercial Vehicles' and 167 involved 'Semi-Tractor Trailers'.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users included 80 pedestrians and 31 bicyclists, totaling 111 incidents. These pedestrian and bicyclist crashes collectively accounted for 1.7% of all crashes.

Animal-Involved Crashes

Animal-related crashes totaled 37 incidents, making up 0.6% of all crashes. Of these, 32 incidents involved deer, while 5 involved other animals.

Impairment (Alcohol / Drugs)

Impaired driving was a factor in 156 crashes, representing 2.4% of all incidents. Alcohol was cited in 118 cases, drugs in 23 cases, and a combination of both alcohol and drugs in 15 cases.

Driver Condition

While most drivers were reported as 'Apparently Normal,' a total of 242 drivers, or 2.3% of those observed, were noted to have abnormal conditions. These included being under the influence of medications/drugs/alcohol (95), emotional (57), physically impaired (39), fatigued/asleep (35), or ill (16).

Driver Condition

1
Apparently Normal9,260 (89.9%)
2
Other/Unknown799 (7.8%)
3
Under the Influence of Medications / Drugs / Alcohol95 (0.9%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)57 (0.6%)
5
Physical Impairment39 (0.4%)
6
Fell Asleep; Fainted; Fatigued; etc.35 (0.3%)
7
Illness16 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Driver Distraction

Driver distraction was identified in 153 instances, representing 1.5% of all observed drivers. The most frequent specific distractions included 'Other distraction inside the vehicle' (58) and 'Other distraction outside the vehicle' (34).

Driver Distraction

1
Not Distracted9,748 (94.7%)
2
Other/Unknown388 (3.8%)
3
Other distraction inside the vehicle58 (0.6%)
4
Other distraction outside the vehicle34 (0.3%)
5
Other activity with an electronic device30 (0.3%)
6
Talking on hand-held communication device15 (0.1%)
7
Manually operating an electronic communication device (texting; typing; dialing)11 (0.1%)
8
Passenger4
9
Talking on hands-free communication device1

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Road Alignment

Roadway alignment data shows that 8.3% of crashes (540 incidents) occurred on curves, while 25.5% of crashes (1,662 incidents) occurred on grades. The most common alignment was 'Straight Level,' accounting for 4,596 crashes.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Pre-Crash Driver Action

The most common pre-crash action reported was 'Straight Ahead,' accounting for 55.1% of observed actions. 'Slowing or Stopped In Traffic' was the second most frequent at 15.0%, followed by 'Making Left Turn' at 8.0%.

Pre-Crash Driver Action

1
Straight Ahead6,518 (51.8%)
2
Slowing or Stopped In Traffic1,776 (14.1%)
3
Making Left Turn947 (7.5%)
4
Parked845 (6.7%)
5
Other/Unknown640 (5.1%)
6
Changing Lanes449 (3.6%)
7
Making Right Turn390 (3.1%)
8
Backing380 (3%)
9
Negotiating a Curve195 (1.5%)

Showing top 9 of 20 reported. 11 additional (453 total) not shown: Overtaking/Passing, Entering Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Other Non-Motorist, Entering or Crossing Specified Location, Making U-Turn, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Manner of Collision

The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport,' representing 24.9% of all crashes. Rear-end collisions followed closely, accounting for 22.7% of crashes, while angle collisions made up 22.5%.

Manner of Collision

"Other" combines 2 smaller categories (136 records): Sideswipe; opposite direction (122), Rear-to-rear (14).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 5,820 vehicles. Commercial vehicles, including single unit trucks, semi-tractors, and cargo vans, represented 4.3% of all vehicles involved.

Vehicle Type

"Other" combines 13 smaller categories (471 records): Cargo Van (125), Pedestrian/Skater (88), Motorcycle 2 Wheeled (87), Other Vehicle (41), Bus (16+ Passengers) (39), Bicycle (31), Heavy Equipment (29), Van (9-15 Seats) (16), All Terrain Vehicle (ATV/UTV) (6), Moped or Motorized Bicycle (5), Motorhome (2), Autocycle (1), Wheelchair (Any type) (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Person Type

Drivers constituted the largest group of persons involved in crashes, with 11,628 individuals. Occupants accounted for 3,707 persons, while pedestrians represented 103 persons.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Person Injury Severity

Among all persons involved in crashes, 26 individuals sustained fatal injuries, and 2,100 individuals sustained injuries of varying severity (serious, minor, or possible). This means 14.88% of persons had some level of injury, and 0.18% were fatally injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Occupant Safety Equipment

Analysis of safety equipment use shows that 567 persons were not using any safety restraints, representing 4.6% of those for whom safety equipment use was reported. The majority, 11,027 persons, used shoulder and lap belts.

Occupant Safety Equipment

"Other" combines 2 smaller categories (92 records): Lap Belt Only Used (55), Helmet Used (37).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Vehicles Per Crash

The data indicates that 970 crashes, or 14.9% of the total, involved only a single vehicle. A small number of crashes involved four or more vehicles, with 69 such incidents reported, including one crash with 10 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 10 (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

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: 2021-01-01 through 2021-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Akron, OH
  • Total crash records analyzed: 6,523
  • Total persons involved: 15,438
  • Total vehicles involved: 12,593

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: 2021." Published July 6, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/akron/2021-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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