Yearly Traffic Safety Analysis

21 CRASHES IN
FLUSHING, OH
2021

In 2021, Flushing experienced 21 crashes with no fatalities and 8 injuries. A significant majority of these incidents, 15 out of 21 crashes (71.4%), resulted in no reported injuries. This indicates a relatively low severity profile for crashes in the area during this period.

21

Total Crash Events

0

Persons Killed

8

Persons Injured

9.5%

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

2

Hit-and-Run Crashes — 2021

Two crashes in Flushing during 2021 were identified as hit-and-run incidents, accounting for 9.5% of all crashes. It is important to note that hit-and-run status is based on the initial determination by the responding officer.

Vulnerable Road User Casualties

During 2021 in Flushing, there were no pedestrians or cyclists killed or injured in crashes. All 8 reported injuries were sustained by motorists. There were no fatalities among any user group in the analyzed period.

0

Motorists Killed

8

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 Flushing occurred most frequently on Thursdays, with 5 incidents reported. The peak hour for crashes was 6 PM, accounting for 3 incidents. The data indicates that 14 crashes occurred during daylight hours, while 6 crashes happened in dark conditions (3 on lighted and 3 on unlighted roadways).

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

Out of 21 crashes, 15 (71.4%) resulted in no injuries, while 6 crashes (28.6%) involved some level of injury. Specifically, there was 1 serious injury crash, 2 minor injury crashes, and 3 possible injury crashes. There were no fatal crashes reported in Flushing during 2021; however, it is important to note that fatalities (persons killed) may differ from fatal crashes because one crash can involve multiple fatalities.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.8%
Minor Injury2minor injury crashes9.5%
Possible Injury3possible injury crashes14.3%
No Injury15no injury crashes71.4%

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

The majority of crashes occurred under clear weather conditions (11 incidents) and on dry road surfaces (15 incidents). Most crashes, 14 out of 21, also took place during daylight hours. Conversely, 4 crashes occurred in rain and 4 on wet road surfaces, while 6 crashes happened in dark conditions.

Weather

Clear11 (52.4%)
Cloudy6 (28.6%)
Rain4 (19.0%)

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

Lighting

Daylight14 (66.7%)
Dark - Lighted Roadway3 (14.3%)
Dark - Roadway Not Lighted3 (14.3%)
Dawn/Dusk1 (4.8%)

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

Road Surface

Dry15 (71.4%)
Wet4 (19.0%)
Sand; Mud; Dirt; Oil; Gravel1 (4.8%)
Snow1 (4.8%)

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 (30 vehicles)

1
FORD9 (30%)
2
GMC3 (10%)
3
CHEVROLET3 (10%)
4
JEEP3 (10%)
5
HONDA2 (6.7%)
6
KIA2 (6.7%)
7
TOYOTA2 (6.7%)
8
DODGE1 (3.3%)
9
FREIGHTLINER1 (3.3%)
10
HYUNDAI1 (3.3%)

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 (38 persons with recorded sex)

Male24 (63.2%)
Female14 (36.8%)

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

Crash Location (First Harmful Event)

A total of 12 crashes occurred on the roadway, while 9 crashes happened on the roadside. This means that 9 out of 21 crashes (42.9%) occurred off the travel lanes, indicating a notable proportion of run-off-road incidents.

Crash Location (First Harmful Event)

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

Traffic Control Device

Among the reported traffic control types, 'No Control' was dominant, associated with 24 units. 'Stop Sign' was present at 6 units. This indicates that 80% of the units involved in crashes had no traffic control present.

Traffic Control Device

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

Driver Contributing Factor

Among the reported contributing factors, 'Drove off Road' was the most frequent with 7 instances, representing 35.0% of identified factors. 'Left of Center' accounted for 4 instances (20.0%), while 'Failure to Yield', 'Swerving to Avoid', and 'Unsafe Speed' each accounted for 2 instances (10.0% each). These five factors represent the most common contributing actions in crashes.

Driver Contributing Factor

1
Drove off Road7 (35%)
2
Left of Center4 (20%)
3
Failure to Yield2 (10%)
4
Swerving to Avoid2 (10%)
5
Unsafe Speed2 (10%)
6
Improper Turn1 (5%)
7
Following too Close / ACDA1 (5%)
8
Operating Defective Equipment1 (5%)

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

Driver Condition

Two drivers were reported to have 'Fell Asleep; Fainted; Fatigued; etc.' and two drivers were 'Under the Influence of Medications / Drugs / Alcohol'. These abnormal conditions collectively account for 4 out of 28 reported driver conditions, or 14.3% of drivers with a specified condition.

Driver Condition

1
Apparently Normal24 (82.8%)
2
Fell Asleep; Fainted; Fatigued; etc.2 (6.9%)
3
Under the Influence of Medications / Drugs / Alcohol2 (6.9%)
4
Other/Unknown1 (3.4%)

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

Driver Distraction

Two drivers were identified as distracted at the time of their crash, accounting for 7.4% of drivers with a reported distraction status. One driver experienced 'Other distraction inside the vehicle,' and another experienced 'Other distraction outside the vehicle.'

Driver Distraction

1
Not Distracted25 (89.3%)
2
Other distraction inside the vehicle1 (3.6%)
3
Other distraction outside the vehicle1 (3.6%)
4
Other/Unknown1 (3.6%)

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

Road Alignment

A total of 8 crashes (38.1%) occurred on curves, including 7 on 'Curve Grade' and 1 on 'Curve Level'. Furthermore, 13 crashes (61.9%) occurred on grades, comprising 7 on 'Curve Grade' and 6 on 'Straight Grade'.

Road Alignment

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

Pre-Crash Driver Action

The most common pre-crash action was 'Straight Ahead,' accounting for 17 out of 29 reported actions (58.6%). 'Negotiating a Curve' was the second most frequent action, with 7 instances (24.1%). 'Slowing or Stopped In Traffic' was reported in 2 instances (6.9%).

Pre-Crash Driver Action

1
Straight Ahead17 (56.7%)
2
Negotiating a Curve7 (23.3%)
3
Slowing or Stopped In Traffic2 (6.7%)
4
Parked1 (3.3%)
5
Other/Unknown1 (3.3%)
6
Making Left Turn1 (3.3%)
7
Backing1 (3.3%)

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

Manner of Collision

The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 12 out of 21 crashes (57.1%). Other patterns included 'Sideswipe; opposite direction' with 3 crashes (14.3%), and 'Rear-end' and 'Rear-to-rear' each with 2 crashes (9.5% each).

Manner of Collision

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

Vehicle Type

Sport Utility Vehicles were the most common vehicle type involved, with 11 instances out of 30 vehicles (36.7%). Pick-up trucks accounted for 9 vehicles, and passenger cars for 7 vehicles. Commercial vehicle types, including pick-ups, farm equipment, semi-tractors, and vans, collectively represented 12 out of 30 vehicles (40%).

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 29 out of 39 individuals (74.4%). Occupants accounted for the remaining 10 persons (25.6%). No pedestrians or cyclists were reported in the crash data.

Person Type

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

Person Injury Severity

Out of 38 persons with reported injury severity, 30 individuals (78.9%) sustained no injuries. There were 8 injured persons, with 1 serious injury, 3 minor injuries, and 4 possible injuries. No fatalities were recorded among persons in crashes.

Person Injury Severity

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

Occupant Safety Equipment

Safety equipment use was reported for 37 participants, with 32 individuals (86.5%) using 'Shoulder and Lap Belt Used.' Three individuals (8.1%) were reported to have used 'None Used,' indicating a notable proportion of unrestrained occupants. Additionally, 2 individuals used a 'Child Restraint System - Forward Facing.'

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

Vehicles Per Crash

The data shows that 12 out of 21 crashes (57.1%) were single-vehicle incidents. The remaining 9 crashes (42.9%) involved two vehicles. There were no crashes reported involving more than two vehicles.

Vehicles Per Crash

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

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: Flushing, OH
  • Total crash records analyzed: 21
  • Total persons involved: 39
  • Total vehicles involved: 30

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). "Flushing, 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/flushing/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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Flushing, OH Crash Report — 2021 | ThatCarHitMe.com