Yearly Traffic Safety Analysis

849 CRASHES IN
GARFIELD HEIGHTS, OH
2022

All metrics benchmarked against2021

In 2022, Garfield Heights experienced 849 total crashes, a decrease of 2.19% compared to 868 crashes in 2021. While total fatalities remained stable at 2, total injuries decreased by 10.68% from 365 to 326. The most notable shift was a 17.62% increase in hit-and-run crashes, rising from 210 in 2021 to 247 in 2022.

849

▼ -2.2%was 868

Total Crash Events

2

Persons Killed

326

▼ -10.7%was 365

Persons Injured

247

▲ 17.6%was 210

Hit-and-Run Crashes

Note: "Persons Killed" (2) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in Garfield Heights show a slight decrease in total incidents, with crashes falling by 2.19% from 868 in 2021 to 849 in 2022. Concurrently, total injuries decreased by 10.68%, from 365 to 326, while total fatalities remained unchanged at 2 in both years. This indicates a general downward trend in overall crash and injury numbers, despite the stability in fatalities.

247

Hit-and-Run Crashes — 2022

▲ 17.6% vs prior (210)

Hit-and-run crashes increased significantly year-over-year, rising from 210 incidents in 2021 to 247 in 2022. This represents an increase in the hit-and-run rate from 24.2% of total crashes in 2021 to 29.1% in 2022, indicating an upward trend in these types of incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

2

Motorists Killed

Prior: 2→0.0%

10

Pedestrians Injured

Prior: 12↓-16.7%

316

Motorists Injured

Prior: 353↓-10.5%

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 peak day for crashes remained Friday in both 2021 and 2022, although the number of crashes on Fridays decreased from 154 to 134. The peak crash hour shifted from 3 PM in 2021 (79 crashes) to 4 PM in 2022 (72 crashes). While October maintained 81 crashes in both years, 2022 saw the highest monthly crash count in July with 82 crashes, differing from 2021 where May recorded the highest with 91 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 fatal crash rate decreased from 0.2% in 2021 to 0.1% in 2022, with the number of fatal crashes dropping from 2 to 1. Crashes resulting in serious injuries (Severity A) saw a notable decrease from 2.8% (24 crashes) in 2021 to 1.4% (12 crashes) in 2022. Minor injury crashes also slightly decreased from 13.1% to 11.9%, and possible injury crashes from 13.5% to 13.3%.

Severity is per crash event (most severe injury). 1 fatal crash events resulted in 2 persons killed.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
↓-50.0%prior 2
Serious Injury12serious injury crashes1.4%
↓-50.0%prior 24
Minor Injury101minor injury crashes11.9%
↓-11.4%prior 114
Possible Injury113possible injury crashes13.3%
↓-3.4%prior 117
No Injury622no injury crashes73.3%
↑1.8%prior 611

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

In 2022, crashes under clear weather conditions decreased to 410 from 442 in 2021, while crashes in snowy conditions nearly doubled, rising from 29 to 53. Regarding road surface, crashes on dry roads decreased from 656 to 624, and crashes on wet roads decreased from 181 to 168, but crashes on snowy roads significantly increased from 17 to 47. Crashes during daylight hours saw a slight reduction from 552 to 546, while crashes in dark-lighted roadway conditions decreased from 271 to 235.

Weather

Clear410 (48.3%)
↓-7.2%prior 442
Cloudy298 (35.1%)
↑6.4%prior 280
Rain68 (8.0%)
↓-32.7%prior 101
Snow53 (6.2%)
↑82.8%prior 29
Other/Unknown9 (1.1%)
↓-18.2%prior 11
Sleet; Hail5 (0.6%)
Freezing Rain or Freezing Drizzle5 (0.6%)
Blowing Sand; Soil; Dirt; Snow1 (0.1%)

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

Lighting

Daylight546 (64.3%)
↓-1.1%prior 552
Dark - Lighted Roadway235 (27.7%)
↓-13.3%prior 271
Dawn/Dusk44 (5.2%)
↑37.5%prior 32
Dark - Roadway Not Lighted14 (1.6%)
↑40.0%prior 10
Other/Unknown8 (0.9%)
Dark - Unknown Roadway Lighting2 (0.2%)

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

Road Surface

Dry624 (73.5%)
↓-4.9%prior 656
Wet168 (19.8%)
↓-7.2%prior 181
Snow47 (5.5%)
↑176.5%prior 17
Ice7 (0.8%)
→0.0%prior 7
Slush2 (0.2%)
Sand; Mud; Dirt; Oil; Gravel1 (0.1%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 1686 in 2021 to 1629 in 2022. While crashes involving passenger cars decreased from 942 to 804, those involving Sport Utility Vehicles increased from 441 to 479. In terms of persons involved, the 0-15 age group saw an increase from 183 to 211, contrasting with decreases in the 16-20 age group (from 201 to 170) and the 21-25 age group (from 225 to 207).

Top Vehicle Makes (1,629 vehicles)

1
CHEVROLET214 (13.1%)
↓-15.1%prior 252
2
FORD189 (11.6%)
↓-13.3%prior 218
3
HONDA111 (6.8%)
↑6.7%prior 104
4
KIA107 (6.6%)
↓-7.8%prior 116
5
TOYOTA102 (6.3%)
↓-10.5%prior 114
6
DODGE89 (5.5%)
↑14.1%prior 78
7
NISSAN87 (5.3%)
→0.0%prior 87
8
HYUNDAI83 (5.1%)
↓-8.8%prior 91
9
JEEP83 (5.1%)
↑45.6%prior 57
10
GMC44 (2.7%)
↑4.8%prior 42

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

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

Sex Distribution (1,848 persons with recorded sex)

Male998 (54.0%)
↓-4.2%prior 1,042
Female850 (46.0%)
↓-7.5%prior 919

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 6, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: Garfield Heights, OH
  • Total crash records analyzed: 849
  • Total persons involved: 1,982
  • Total vehicles involved: 1,629

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). "Garfield Heights, OH Crash Intelligence Report: 2022." Published July 6, 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/garfield-heights/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

ThatCarHitMe.com · An Injuria.ai Company

Garfield Heights, OH Crash Report — 2022 | ThatCarHitMe.com