Yearly Traffic Safety Analysis

15 CRASHES IN
ENON, OH
2022

All metrics benchmarked against2021

In 2022, Enon experienced 15 total crashes, a decrease of 16.67% compared to the 18 crashes recorded in 2021. A significant year-over-year shift is observed in total injuries, which dropped by 100% from 6 injuries in 2021 to 0 injuries in 2022.

15

-16.7%was 18

Total Crash Events

0

Persons Killed

0

-100.0%was 6

Persons Injured

2

-50.0%was 4

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 15 crashes with unreported severity are not shown in the severity breakdown.

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 data for Enon shows a declining trend in 2022 compared to 2021. Total crashes decreased by 16.67%, from 18 crashes in 2021 to 15 crashes in 2022. This decline is further reflected in total injuries, which saw a 100% reduction from 6 to 0.

2

Hit-and-Run Crashes — 2022

-50.0% vs prior (4)

Hit-and-run crashes decreased from 4 incidents in 2021 to 2 incidents in 2022. This represents a decline in the hit-and-run rate from 22.2% of total crashes in 2021 to 13.3% in 2022, indicating a downward trend.

When Crashes Happen

The temporal patterns for crashes remained consistent, with Friday being the peak day for crashes in both 2021 and 2022, recording 5 and 4 crashes respectively. Similarly, 3 p.m. remained the peak hour for crashes in both years, with 4 crashes in 2021 and 3 crashes in 2022.

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)

Road & Environmental Conditions

The proportion of crashes occurring in rainy conditions increased, with 3 crashes (20%) in 2022 compared to 1 crash (5.56%) in 2021. Concurrently, the percentage of crashes on wet road surfaces also saw a slight increase, from 16.67% (3 crashes) in 2021 to 20% (3 crashes) in 2022. Crashes occurring in daylight decreased from 83.3% (15 crashes) in 2021 to 66.7% (10 crashes) in 2022, while crashes in dark conditions (lighted or unlighted roadway) increased from 1 crash (5.56%) to 4 crashes (26.7%) over the same period.

Weather

Clear12 (80.0%)
-14.3%prior 14
Rain3 (20.0%)

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

Lighting

Daylight10 (66.7%)
-33.3%prior 15
Dark - Lighted Roadway2 (13.3%)
Dark - Roadway Not Lighted2 (13.3%)
Dawn/Dusk1 (6.7%)

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

Road Surface

Dry12 (80.0%)
-20.0%prior 15
Wet3 (20.0%)

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

Vehicles & Demographics

Top Vehicle Makes (27 vehicles)

1
FORD5 (18.5%)
2
CHEVROLET4 (14.8%)
-50.0%prior 8
3
NISSAN3 (11.1%)
4
KIA2 (7.4%)
5
HYUNDAI2 (7.4%)
6
DODGE2 (7.4%)
7
HONDA2 (7.4%)
8
YAMAHA1 (3.7%)
9
FREIGHTLINER1 (3.7%)
10
GMC1 (3.7%)

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

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

Sex Distribution (29 persons with recorded sex)

Male17 (58.6%)
-37.0%prior 27
Female12 (41.4%)
-36.8%prior 19

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: Enon, OH
  • Total crash records analyzed: 15
  • Total persons involved: 30
  • Total vehicles involved: 27

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). "Enon, 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/enon/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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Enon, OH Crash Report — 2022 | ThatCarHitMe.com