Yearly Traffic Safety Analysis

3,416 CRASHES IN
OHIO, OH
2022

All metrics benchmarked against2021

In 2022, Portage County recorded 3,416 total crashes, a 1.5% increase from the 3,367 crashes reported in 2021. While total crashes and fatalities saw slight increases, the most notable year-over-year shift was a 27.8% rise in hit-and-run crashes, which grew from 299 to 382. Total injuries also increased by 9.6%, from 1,226 in 2021 to 1,344 in 2022.

3,416

1.5%was 3,367

Total Crash Events

18

5.9%was 17

Persons Killed

1,344

9.6%was 1,226

Persons Injured

382

27.8%was 299

Hit-and-Run Crashes

Note: "Persons Killed" (18) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for Portage County indicates a slight upward trend from 2021 to 2022, with total collisions increasing by 1.5% from 3,367 to 3,416. This was accompanied by a more pronounced rise in negative outcomes, as total injuries grew by 9.6% and fatalities increased from 17 to 18 year-over-year. The number of fatal crashes remained stable at 16 in both years.

382

Hit-and-Run Crashes — 2022

27.8% vs prior (299)

Hit-and-run incidents in Portage County showed a significant upward trend from 2021 to 2022. The total number of hit-and-run crashes increased by 27.8%, rising from 299 to 382. This corresponded to an increase in the hit-and-run rate, which grew from 8.9% of all crashes in 2021 to 11.2% in 2022.

Vulnerable Road User Casualties

4

Pedestrians Killed

Prior: 333.3%

14

Motorists Killed

Prior: 140.0%

25

Pedestrians Injured

Prior: 1566.7%

1,319

Motorists Injured

Prior: 1,2118.9%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes in Portage County remained largely consistent year-over-year, with Friday being the peak day for crashes in both 2022 (567 crashes) and 2021 (542 crashes). The peak hour for collisions shifted slightly later in the day, moving from the 3 p.m. hour in 2021 (284 crashes) to the 4 p.m. hour in 2022 (303 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes shifted slightly towards more injuries in 2022 compared to 2021. The proportion of crashes resulting in a serious injury increased from 1.9% to 2.4%, while the share of no-injury crashes decreased from 74.0% to 72.4%. The fatal crash rate remained stable, moving from 0.48 to 0.47 fatal crashes per 100 total crashes.

Severity is per crash event (most severe injury). 16 fatal crash events resulted in 18 persons killed.

Outcome by Severity (Crash Events)

Fatal16fatal crashes0.5%
0.0%prior 16
Serious Injury82serious injury crashes2.4%
30.2%prior 63
Minor Injury538minor injury crashes15.7%
6.5%prior 505
Possible Injury307possible injury crashes9%
5.9%prior 290
No Injury2,473no injury crashes72.4%
-0.8%prior 2,493

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions in Portage County were broadly similar between 2021 and 2022, with most incidents occurring in clear weather and during daylight hours in both periods. The proportion of crashes on dry roads decreased from 76.0% in 2021 to 73.4% in 2022. A notable change was observed in winter conditions, as crashes occurring in snow increased from 201 to 276, and those on snowy road surfaces rose from 123 to 235.

Weather

Clear1,823 (53.4%)
4.4%prior 1,747
Cloudy979 (28.7%)
-7.2%prior 1,055
Rain277 (8.1%)
-8.9%prior 304
Snow276 (8.1%)
37.3%prior 201
Fog; Smog; Smoke19 (0.6%)
46.2%prior 13
Other/Unknown11 (0.3%)
-8.3%prior 12
Sleet; Hail11 (0.3%)
0.0%prior 11
Freezing Rain or Freezing Drizzle8 (0.2%)
-38.5%prior 13
Blowing Sand; Soil; Dirt; Snow7 (0.2%)
Severe Crosswinds5 (0.1%)
-50.0%prior 10

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight2,231 (65.3%)
1.2%prior 2,204
Dark - Roadway Not Lighted646 (18.9%)
-6.9%prior 694
Dark - Lighted Roadway344 (10.1%)
16.2%prior 296
Dawn/Dusk182 (5.3%)
13.8%prior 160
Dark - Unknown Roadway Lighting8 (0.2%)
14.3%prior 7
Other/Unknown5 (0.1%)
-16.7%prior 6

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry2,508 (73.4%)
-1.9%prior 2,557
Wet591 (17.3%)
-5.4%prior 625
Snow235 (6.9%)
91.1%prior 123
Ice62 (1.8%)
87.9%prior 33
Slush13 (0.4%)
-38.1%prior 21
Other/Unknown5 (0.1%)
-16.7%prior 6
Sand; Mud; Dirt; Oil; Gravel1 (0.0%)
Water (Standing; Moving)1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The composition of vehicles involved in crashes remained stable year-over-year, with Passenger Cars, Sport Utility Vehicles, and Pick-ups being the three most common types in both 2021 and 2022. Chevrolet (861 vehicles) and Ford (851 vehicles) continued to be the top two makes involved in collisions, though both saw a slight decrease in total count from the prior year. The age demographics of individuals in crashes were also consistent, with persons aged 16-34 comprising the largest segment in both periods.

Top Vehicle Makes (5,854 vehicles)

1
CHEVROLET861 (14.7%)
-8.1%prior 937
2
FORD851 (14.5%)
-1.2%prior 861
3
TOYOTA467 (8%)
4.2%prior 448
4
HONDA463 (7.9%)
10.2%prior 420
5
DODGE347 (5.9%)
3.3%prior 336
6
JEEP336 (5.7%)
5.3%prior 319
7
KIA272 (4.6%)
19.8%prior 227
8
HYUNDAI261 (4.5%)
10.1%prior 237
9
NISSAN254 (4.3%)
6.3%prior 239
10
GMC146 (2.5%)
18.7%prior 123

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (7,564 persons with recorded sex)

Male4,201 (55.5%)
3.0%prior 4,079
Female3,363 (44.5%)
4.8%prior 3,208

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: July 7, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 3,416
  • Total persons involved: 7,772
  • Total vehicles involved: 5,854

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). "ohio, OH Crash Intelligence Report: 2022." Published July 7, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2022-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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Portage County, OH Crash Report — 2022 | ThatCarHitMe.com