Yearly Traffic Safety Analysis

1,229 CRASHES IN
ELYRIA, OH
2024

All metrics benchmarked against2023

Elyria experienced a decrease in total crashes from 1299 in the prior year to 1229 in the current year, marking a 5.39% reduction. However, fatalities saw a significant increase of 250%, rising from 2 in the prior year to 7 in the current year. Total injuries also increased by 14.85%, from 404 to 464.

1,229

-5.4%was 1,299

Total Crash Events

7

250.0%was 2

Persons Killed

464

14.9%was 404

Persons Injured

202

-17.9%was 246

Hit-and-Run Crashes

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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, the total number of crashes decreased by 5.39% year-over-year, from 1299 crashes in the prior year to 1229 crashes in the current year. Despite this reduction in total crashes, fatalities increased by 250%, rising from 2 to 7. Concurrently, total injuries increased by 14.85%, from 404 to 464.

202

Hit-and-Run Crashes — 2024

-17.9% vs prior (246)

Hit-and-run crashes decreased from 246 in the prior year to 202 in the current year, a reduction of 44 incidents. The hit-and-run rate also decreased by 2.5 percentage points, from 18.9% of all crashes in the prior year to 16.4% in the current year.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

6

Motorists Killed

Prior: 2200.0%

14

Pedestrians Injured

Prior: 1127.3%

450

Motorists Injured

Prior: 39314.5%

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 shifted from Tuesday with 216 crashes in the prior year to Thursday with 208 crashes in the current year. The peak hour for crashes remained at 3 PM for both periods, though the count decreased from 136 in the prior year to 125 in the current year.

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

Fatal crashes increased by 200%, rising from 2 in the prior year to 6 in the current year, with the fatal rate increasing from 0.15% to 0.49%. Serious injuries (code A) increased from 33 to 40, and possible injuries (code C) increased from 139 to 163. The proportion of all injury crashes (fatal, serious, minor, possible) increased from 31.10% of total crashes in the prior year to 37.75% in the current year.

Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 persons killed.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.5%
200.0%prior 2
Serious Injury40serious injury crashes3.3%
21.2%prior 33
Minor Injury120minor injury crashes9.8%
-6.3%prior 128
Possible Injury163possible injury crashes13.3%
17.3%prior 139
No Injury900no injury crashes73.2%
-9.7%prior 997

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

The proportion of crashes occurring in clear weather decreased from 59.12% to 55.74% year-over-year, while crashes in rainy conditions increased from 10.70% to 12.61%. Regarding road surface, crashes on dry roads decreased from 76.83% to 74.69%, with crashes on wet roads increasing from 18.40% to 20.34%. Crashes occurring during daylight hours saw a slight increase in proportion, from 69.82% to 71.36% of all crashes.

Weather

Clear685 (55.7%)
-10.8%prior 768
Cloudy321 (26.1%)
0.6%prior 319
Rain155 (12.6%)
11.5%prior 139
Snow57 (4.6%)
1.8%prior 56
Other/Unknown6 (0.5%)
-40.0%prior 10
Fog; Smog; Smoke3 (0.2%)
Sleet; Hail2 (0.2%)

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

Lighting

Daylight877 (71.4%)
-3.3%prior 907
Dark - Lighted Roadway205 (16.7%)
-8.5%prior 224
Dark - Roadway Not Lighted70 (5.7%)
-15.7%prior 83
Dawn/Dusk66 (5.4%)
-2.9%prior 68
Other/Unknown7 (0.6%)
-36.4%prior 11
Dark - Unknown Roadway Lighting4 (0.3%)
-33.3%prior 6

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

Road Surface

Dry918 (74.7%)
-8.0%prior 998
Wet250 (20.3%)
4.6%prior 239
Snow45 (3.7%)
28.6%prior 35
Ice10 (0.8%)
-41.2%prior 17
Other/Unknown3 (0.2%)
-57.1%prior 7
Slush3 (0.2%)

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 by 4.88%, from 2440 to 2321. While passenger cars and SUVs involved in crashes decreased, pickup trucks involved in crashes increased from 252 to 261. The number of motorcyclists involved decreased from 24 to 15, while pedestrians involved increased from 11 to 13.

Top Vehicle Makes (2,321 vehicles)

1
FORD467 (20.1%)
-7.9%prior 507
2
CHEVROLET332 (14.3%)
-12.4%prior 379
3
HONDA168 (7.2%)
-5.1%prior 177
4
KIA133 (5.7%)
6.4%prior 125
5
TOYOTA124 (5.3%)
-8.8%prior 136
6
DODGE103 (4.4%)
-12.0%prior 117
7
JEEP102 (4.4%)
7.4%prior 95
8
NISSAN102 (4.4%)
17.2%prior 87
9
HYUNDAI66 (2.8%)
-18.5%prior 81
10
GMC64 (2.8%)
-8.6%prior 70

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

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

Sex Distribution (2,902 persons with recorded sex)

Male1,509 (52.0%)
-5.0%prior 1,588
Female1,393 (48.0%)
-2.5%prior 1,428

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 6, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Elyria, OH
  • Total crash records analyzed: 1,229
  • Total persons involved: 3,040
  • Total vehicles involved: 2,321

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). "Elyria, OH Crash Intelligence Report: 2024." Published July 6, 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/elyria/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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Elyria, OH Crash Report — 2024 | ThatCarHitMe.com