Yearly Traffic Safety Analysis

440 CRASHES IN
BROOKLYN, OH
2021

In Brooklyn, Ohio, during 2021, there were 440 reported crashes, resulting in 1 fatality and 128 injuries. A notable finding from this period is that 77 crashes, or 17.5% of the total, were categorized as hit-and-run incidents.

440

Total Crash Events

1

Persons Killed

128

Persons Injured

17.5%

Hit-and-Run Rate

Note: "Persons Killed" (1) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

77

Hit-and-Run Crashes — 2021

Of the 440 crashes in Brooklyn during 2021, 77 were identified as hit-and-run incidents, representing 17.5% of all crashes. This classification is based on the initial determination made by the responding officer at the scene.

Vulnerable Road User Casualties

In 2021, 1 pedestrian was killed and 3 pedestrians were injured in crashes. There were no cyclists killed or injured. Motorists accounted for 0 fatalities and 125 injuries during the same period.

1

Pedestrians Killed

0

Motorists Killed

3

Pedestrians Injured

125

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 Brooklyn during 2021 peaked on Wednesdays, with 72 incidents reported. The peak hour for crashes was 1 PM, recording 40 incidents. A majority of crashes, 300 out of 440 (68.2%), occurred during daylight hours, while 118 crashes (26.8%) occurred in dark conditions.

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 440 total crashes, 1 was fatal, 3 resulted in serious injuries, 36 in minor injuries, and 58 in possible injuries. Crashes with no reported injuries accounted for 342 incidents, representing 77.7% of the total. The single fatal crash contributed to 1 fatality among all persons involved.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Serious Injury3serious injury crashes0.7%
Minor Injury36minor injury crashes8.2%
Possible Injury58possible injury crashes13.2%
No Injury342no injury crashes77.7%

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

The majority of crashes occurred under clear weather conditions (283 incidents, 64.3%), on dry road surfaces (325 incidents, 73.9%), and during daylight hours (300 incidents, 68.2%). Conversely, 81 crashes occurred during rain, snow, or sleet, and 114 crashes happened on wet, snowy, icy, or slushy road surfaces. There were 118 crashes that occurred in dark conditions.

Weather

Clear283 (64.3%)
Cloudy75 (17.0%)
Rain58 (13.2%)
Snow21 (4.8%)
Sleet; Hail2 (0.5%)
Other/Unknown1 (0.2%)

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

Lighting

Daylight300 (68.2%)
Dark - Lighted Roadway117 (26.6%)
Dawn/Dusk22 (5.0%)
Dark - Roadway Not Lighted1 (0.2%)

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

Road Surface

Dry325 (73.9%)
Wet98 (22.3%)
Snow13 (3.0%)
Ice2 (0.5%)
Other/Unknown1 (0.2%)
Slush1 (0.2%)

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

Vehicles & Demographics

Among all persons involved in crashes, the 26-34 age group was most represented with 207 individuals, followed by the 35-44 age group with 159 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 506 vehicles out of 849 total vehicles. Ford (106 vehicles) and Chevrolet (94 vehicles) were the most common vehicle makes involved, excluding those classified as 'OTHER/UNKNOWN'.

Top Vehicle Makes (849 vehicles)

1
OTHER/UNKNOWN192 (22.6%)
2
FORD106 (12.5%)
3
CHEVROLET94 (11.1%)
4
TOYOTA69 (8.1%)
5
NISSAN41 (4.8%)
6
KIA40 (4.7%)
7
HYUNDAI35 (4.1%)
8
HONDA33 (3.9%)
9
VOLKSWAGEN29 (3.4%)
10
JEEP27 (3.2%)

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

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

Sex Distribution (1,061 persons with recorded sex)

Male566 (53.3%)
Female495 (46.7%)

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)

Most crashes occurred on the roadway, accounting for 401 incidents. A total of 34 crashes, representing 7.7% of all incidents, occurred off the travel lanes, including 12 outside the trafficway, 12 on the shoulder, 7 on the roadside, and 3 in the median.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): Off ramp (1).

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

Traffic Control Device

Among locations where vehicles were involved in crashes, 'No Control' was the dominant traffic control type, present for 464 units. Locations with signalized control (Signal or Flasher) accounted for 335 units (39.9%), while uncontrolled locations (No Control, Stop Sign, or Yield Sign) accounted for 505 units (60.1%).

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

The most frequent contributing factors were 'Following too Close / ACDA' (121 instances), 'Failure to Yield' (112 instances), and 'Improper Lane Change' (39 instances). These three factors collectively represent 272 instances of contributing driver actions.

Driver Contributing Factor

1
Following too Close / ACDA121 (27.9%)
2
Failure to Yield112 (25.8%)
3
Improper Lane Change39 (9%)
4
Other Improper Action35 (8.1%)
5
Not Discernible31 (7.1%)
6
Drove off Road21 (4.8%)
7
Unsafe Speed16 (3.7%)
8
Ran Red Light15 (3.5%)
9
Improper Turn13 (3%)

Showing top 9 of 17 reported. 8 additional (31 total) not shown: Improper Backing, Swerving to Avoid, Improper Passing, Operating Defective Equipment, Lying in Roadway, Left of Center, Improper Start From a Parked Position, Load shifting/Falling/Spilling.

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

Commercial / Truck Involvement

Crashes involved 31 commercial vehicles, comprising 20 'Other Commercial Vehicle' types and 11 'Semi-Tractor Trailer' types. Commercial trucks were involved in 7.0% of all 440 crashes.

Vulnerable Road Users & Motorcycles

Crashes involved 6 pedestrians and 7 motorcyclists, totaling 13 vulnerable road users. Pedestrians and bicyclists combined were involved in 6 crashes, representing 1.36% of all 440 crashes.

Impairment (Alcohol / Drugs)

There were 18 instances of impaired driving reported, with 11 involving alcohol, 5 involving both alcohol and drugs, and 2 involving drugs alone. These impaired driving incidents account for 4.1% of all 440 crashes.

Driver Condition

Abnormal driver conditions were reported in 22 instances, representing 2.76% of all drivers with reported conditions. This included 17 instances of drivers 'Under the Influence of Medications / Drugs / Alcohol', 2 instances of drivers who 'Fell Asleep; Fainted; Fatigued; etc.', 2 instances of 'Physical Impairment', and 1 instance of an 'Emotional' condition.

Driver Condition

1
Apparently Normal747 (93.6%)
2
Other/Unknown29 (3.6%)
3
Under the Influence of Medications / Drugs / Alcohol17 (2.1%)
4
Fell Asleep; Fainted; Fatigued; etc.2 (0.3%)
5
Physical Impairment2 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.1%)

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

Driver distraction was noted in 31 instances, representing 3.94% of all drivers with reported distraction status. The most common specific distractions included 'Other distraction inside the vehicle' (13 instances) and 'Other distraction outside the vehicle' (10 instances).

Driver Distraction

1
Not Distracted700 (89.1%)
2
Other/Unknown55 (7%)
3
Other distraction inside the vehicle13 (1.7%)
4
Other distraction outside the vehicle10 (1.3%)
5
Manually operating an electronic communication device (texting; typing; dialing)5 (0.6%)
6
Other activity with an electronic device2 (0.3%)
7
Talking on hand-held communication device1 (0.1%)

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

Of the 440 crashes, 40 occurred on curves, representing 9.1% of all crashes. Additionally, 35 crashes occurred on road grades, accounting for 8.0% of the total.

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 actions by drivers were 'Straight Ahead' (453 instances), 'Slowing or Stopped In Traffic' (131 instances), and 'Making Left Turn' (109 instances). These three actions account for 748 instances out of 840 total reported pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead453 (53.4%)
2
Slowing or Stopped In Traffic131 (15.4%)
3
Making Left Turn109 (12.8%)
4
Changing Lanes55 (6.5%)
5
Making Right Turn28 (3.3%)
6
Backing16 (1.9%)
7
Parked15 (1.8%)
8
Entering Traffic Lane11 (1.3%)
9
Other/Unknown9 (1.1%)

Showing top 9 of 16 reported. 7 additional (22 total) not shown: Negotiating a Curve, Leaving Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, Other Non-Motorist, Entering or Crossing Specified Location, Driverless.

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

Manner of Collision

The most frequent manner of collision was 'Angle', accounting for 135 crashes or 30.7% of the total. 'Rear-end' collisions were nearly as common, with 132 incidents representing 30.0% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (6 records): Head-on (4), Rear-to-rear (2).

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

Vehicle Type

Passenger cars were the most common vehicle type involved, accounting for 506 of the 849 total vehicles. Pickups, cargo vans, single unit trucks, and semi-tractors collectively represented 105 vehicles, or 12.4% of all vehicles involved.

Vehicle Type

"Other" combines 7 smaller categories (29 records): Unknown or Hit/Skip (8), Motorcycle 2 Wheeled (7), Pedestrian/Skater (6), Bus (16+ Passengers) (3), Other Vehicle (2), All Terrain Vehicle (ATV/UTV) (2), Heavy Equipment (1).

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

Person Type

Drivers constituted the largest group of persons involved in crashes, with 827 individuals, representing 75.2% of the total 1099 persons. Occupants accounted for 266 individuals, while pedestrians accounted for 6 individuals.

Person Type

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

Person Injury Severity

Among all 1099 persons involved in crashes, 1 individual sustained a fatal injury, representing 0.09% of persons. A total of 128 persons sustained injuries (A, B, or C severity), accounting for 11.6% of all persons. The majority, 924 persons (84.1%), sustained no injuries.

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

Out of 1093 persons with reported safety equipment status, 928 individuals (84.9%) used both shoulder and lap belts. 'None Used' was reported for 38 individuals, representing 3.48% of those with reported safety equipment status.

Occupant Safety Equipment

"Other" combines 2 smaller categories (6 records): Lap Belt Only Used (4), Helmet Used (2).

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 majority of crashes involved two vehicles, accounting for 348 incidents or 79.1% of the total 440 crashes. Single-vehicle crashes represented 64 incidents (14.5%), while multi-vehicle crashes (three or more vehicles) totaled 28 incidents (6.4%).

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: Brooklyn, OH
  • Total crash records analyzed: 440
  • Total persons involved: 1,099
  • Total vehicles involved: 849

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). "Brooklyn, 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/brooklyn/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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Brooklyn, OH Crash Report — 2021 | ThatCarHitMe.com