Yearly Traffic Safety Analysis

7 CRASHES IN
GLOUSTER, OH
2021

In Glouster, Ohio, during 2021, a total of 7 crashes were reported, resulting in 0 fatalities and 1 injury. The most notable statistical finding is that 85.7% of these crashes resulted in no injuries, with only one crash involving a minor injury.

7

Total Crash Events

0

Persons Killed

1

Persons Injured

14.3%

Hit-and-Run Rate

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.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

1

Hit-and-Run Crashes — 2021

One hit-and-run crash was reported in Glouster during 2021, representing 14.3% of all crashes. Hit-and-run status is based on the responding officer's initial determination.

Vulnerable Road User Casualties

In Glouster during 2021, there were no pedestrians killed or injured, and no cyclists killed or injured. One motorist was injured, while no motorists were killed.

0

Motorists Killed

1

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 Glouster during 2021 most frequently occurred on Thursdays, with 3 incidents reported. The peak hour for crashes was 8 AM, accounting for 2 incidents. A majority of crashes, 57.1%, occurred during daylight hours, while 28.6% occurred in dark-lighted roadway conditions and 14.3% during dawn/dusk.

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

Of the 7 crashes in Glouster during 2021, 85.7% (6 crashes) resulted in no injuries, categorized as 'No Injury'. One crash, representing 14.3%, involved a minor injury. There were no fatal crashes reported, and no fatalities (persons killed) occurred.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes14.3%
No Injury6no injury crashes85.7%

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

During 2021 in Glouster, 28.6% of crashes occurred in clear weather, while 42.9% occurred in cloudy conditions and 28.6% in rain. The road surface was dry for 57.1% of crashes and wet for 42.9%. Daylight was the lighting condition for 57.1% of incidents.

Weather

Cloudy3 (42.9%)
Clear2 (28.6%)
Rain2 (28.6%)

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

Lighting

Daylight4 (57.1%)
Dark - Lighted Roadway2 (28.6%)
Dawn/Dusk1 (14.3%)

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

Road Surface

Dry4 (57.1%)
Wet3 (42.9%)

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

Vehicles & Demographics

Top Vehicle Makes (13 vehicles)

1
FORD3 (23.1%)
2
GMC2 (15.4%)
3
HONDA1 (7.7%)
4
JEEP1 (7.7%)
5
MAZDA1 (7.7%)
6
SATURN1 (7.7%)
7
TOYOTA1 (7.7%)
8
CHEVROLET1 (7.7%)
9
CHRYSLER1 (7.7%)

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

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

Sex Distribution (9 persons with recorded sex)

Male5 (55.6%)
Female4 (44.4%)

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

Traffic Control Device

Among the traffic control types reported for crash locations in Glouster, 'No Control' was the most frequent, with 9 instances. 'Stop Sign' was reported 3 times, and 'Yield Sign' once, indicating a higher prevalence of uncontrolled locations.

Traffic Control Device

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

Pre-Crash Driver Action

The most common pre-crash action reported was 'Straight Ahead', accounting for 6 instances. 'Parked' was the second most frequent action, with 4 instances, followed by 'Making Right Turn', 'Negotiating a Curve', and 'Slowing or Stopped In Traffic' each occurring once.

Pre-Crash Driver Action

1
Straight Ahead6 (46.2%)
2
Parked4 (30.8%)
3
Making Right Turn1 (7.7%)
4
Negotiating a Curve1 (7.7%)
5
Slowing or Stopped In Traffic1 (7.7%)

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

Vehicle Type

Passenger cars were the most frequently involved vehicle type, accounting for 5 out of 13 vehicles. Pick-up trucks were involved in 4 instances, and Sport Utility Vehicles in 2. One single unit truck was also involved.

Vehicle Type

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

Person Type

Drivers constituted the majority of persons involved in crashes, with 9 out of 10 total persons. One person was recorded as an occupant.

Person Type

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

Occupant Safety Equipment

For persons involved in crashes, 4 instances reported 'Shoulder and Lap Belt Used'. Notably, 'None Used' was reported for 2 persons, representing 20% of the instances with known safety equipment use. 'Shoulder Belt Only Used' was also reported twice.

Occupant Safety Equipment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · 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: 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: Glouster, OH
  • Total crash records analyzed: 7
  • Total persons involved: 10
  • Total vehicles involved: 13

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). "Glouster, 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/glouster/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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Glouster, OH Crash Report — 2021 | ThatCarHitMe.com