Yearly Traffic Safety Analysis

57 CRASHES IN
ARCHBOLD, OH
2021

In 2021, Archbold, Ohio recorded a total of 57 crashes, resulting in 0 fatalities and 16 injuries. The majority of these crashes, 75.4%, resulted in no injuries.

57

Total Crash Events

0

Persons Killed

16

Persons Injured

8.8%

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

5

Hit-and-Run Crashes — 2021

There were 5 hit-and-run crashes in Archbold in 2021, accounting for 8.8% of all crashes. This hit-and-run status is based on the responding officer's initial determination.

Vulnerable Road User Casualties

In Archbold during 2021, no fatalities were recorded for pedestrians, cyclists, or motorists. There were 13 motorists injured in crashes. Additionally, 3 pedestrians sustained injuries, while no cyclists were injured.

0

Pedestrians Killed

0

Motorists Killed

3

Pedestrians Injured

13

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 Archbold in 2021 most frequently occurred on Tuesdays, with 11 incidents, and Mondays, with 10 incidents. The peak hour for crashes was 3 PM, recording 7 incidents, followed by 6 AM and 8 AM, each with 6 incidents. October saw the highest number of crashes with 8, while May and November had the fewest, with 1 crash each.

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

In Archbold, 75.4% of the 57 crashes in 2021 resulted in no injuries. Injury crashes accounted for 24.6% of incidents, with 5.3% classified as serious injuries, 10.5% as minor injuries, and 8.8% as possible injuries. There were no fatal crashes recorded in Archbold during this period, meaning no fatalities occurred.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes5.3%
Minor Injury6minor injury crashes10.5%
Possible Injury5possible injury crashes8.8%
No Injury43no injury crashes75.4%

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 in Archbold during 2021 occurred under clear weather conditions (33 incidents), on dry road surfaces (41 incidents), and during daylight hours (42 incidents). However, 4 crashes occurred during rain and 3 during snow, while 10 crashes happened on wet roads and 2 on icy roads. Additionally, 11 crashes took place in dark conditions.

Weather

Clear33 (57.9%)
Cloudy16 (28.1%)
Rain4 (7.0%)
Snow3 (5.3%)
Other/Unknown1 (1.8%)

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

Lighting

Daylight42 (73.7%)
Dark - Roadway Not Lighted7 (12.3%)
Dark - Lighted Roadway4 (7.0%)
Dawn/Dusk3 (5.3%)
Other/Unknown1 (1.8%)

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

Road Surface

Dry41 (71.9%)
Wet10 (17.5%)
Snow3 (5.3%)
Ice2 (3.5%)
Other/Unknown1 (1.8%)

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

Vehicles & Demographics

Among the 102 vehicles involved in crashes, Chevrolet was the most frequent make with 21 vehicles, followed by Ford with 16 and Dodge with 11. Regarding persons involved, the 65+ age group was most represented with 22 individuals, closely followed by the 35-44 age group with 21 individuals.

Top Vehicle Makes (102 vehicles)

1
CHEVROLET21 (20.6%)
2
FORD16 (15.7%)
3
DODGE11 (10.8%)
4
JEEP8 (7.8%)
5
TOYOTA6 (5.9%)
6
BUICK5 (4.9%)
7
GMC4 (3.9%)
8
CHRYSLER4 (3.9%)
9
HONDA4 (3.9%)
10
PONTIAC3 (2.9%)

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

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

Sex Distribution (123 persons with recorded sex)

Male71 (57.7%)
Female52 (42.3%)

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)

The vast majority of crashes, 54 out of 57, occurred on the roadway in Archbold during 2021. A smaller proportion, 3 incidents, occurred off the main travel lanes, with 2 on the roadside and 1 outside the trafficway, indicating a minor presence 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

The most common traffic control environment associated with crashes was 'No Control', accounting for 64 instances. Locations with traffic signals were involved in 22 incidents, while stop signs were present in 15 incidents. This indicates that a significant majority of crashes occurred at uncontrolled or stop-sign-controlled locations rather than signalized intersections.

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 leading contributing factor in Archbold crashes was 'Following too Close / ACDA' with 17 occurrences. Other significant factors included 'Failure to Yield' and 'Improper Backing', each accounting for 8 instances. 'Other Improper Action' was noted in 5 instances, and 'Improper Turn' in 4 instances.

Driver Contributing Factor

1
Following too Close / ACDA17 (34.7%)
2
Failure to Yield8 (16.3%)
3
Improper Backing8 (16.3%)
4
Other Improper Action5 (10.2%)
5
Improper Turn4 (8.2%)
6
Improper Crossing2 (4.1%)
7
Ran Stop Sign2 (4.1%)
8
Operating Defective Equipment1 (2%)
9
Ran Red Light1 (2%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Swerving to Avoid.

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

Driver Condition

Among reported driver conditions, one driver was noted as 'Emotional (E.G.; Depressed; Angry; Disturbed)'. The remaining drivers were predominantly reported as 'Apparently Normal' or 'Other/Unknown'.

Driver Condition

1
Apparently Normal89 (95.7%)
2
Other/Unknown3 (3.2%)
3
Emotional (E.G.; Depressed; Angry; Disturbed)1 (1.1%)

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 5 instances, with 2 drivers manually operating an electronic communication device and 2 drivers distracted by something outside the vehicle. Additionally, one driver was distracted by a passenger.

Driver Distraction

1
Not Distracted84 (89.4%)
2
Other/Unknown5 (5.3%)
3
Manually operating an electronic communication device (texting; typing; dialing)2 (2.1%)
4
Other distraction outside the vehicle2 (2.1%)
5
Passenger1 (1.1%)

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

Pre-Crash Driver Action

The most frequent pre-crash action was 'Straight Ahead', observed in 45 instances. 'Slowing or Stopped In Traffic' was the second most common action with 20 occurrences, followed by 'Backing' with 12 occurrences.

Pre-Crash Driver Action

1
Straight Ahead45 (44.1%)
2
Slowing or Stopped In Traffic20 (19.6%)
3
Backing12 (11.8%)
4
Making Left Turn9 (8.8%)
5
Parked5 (4.9%)
6
Making Right Turn5 (4.9%)
7
Walking; Running; Jogging; Playing2 (2%)
8
Other/Unknown2 (2%)
9
Entering Traffic Lane1 (1%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Entering or Crossing Specified Location.

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

Manner of Collision

The most common manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 35.1% of crashes with 20 incidents. 'Rear-end' collisions were the second most frequent, making up 29.8% of crashes with 17 incidents, followed by 'Angle' collisions at 19.3% with 11 incidents.

Manner of Collision

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 frequently involved vehicle type, accounting for 34 instances. Sport Utility Vehicles followed with 25 involvements, and Pickups with 21. Commercial vehicles, including Single Unit Trucks, Semi-Tractors, and Cargo Vans, collectively accounted for 5 involvements.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Unknown or Hit/Skip (1), Moped or Motorized Bicycle (1), Motorcycle 2 Wheeled (1), Other Vehicle (1), Cargo Van (1).

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

Person Type

Drivers represented the largest group of persons involved in crashes, with 94 individuals. Occupants accounted for 29 individuals, while pedestrians were involved in 3 incidents.

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 persons involved in crashes, 108 individuals sustained no injuries. A total of 16 individuals sustained injuries, comprising 3 serious injuries, 7 minor injuries, and 6 possible injuries. No fatalities were recorded among persons involved 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

The majority of participants, 97 individuals, used a shoulder and lap belt. However, 6 individuals were reported to have used no safety equipment. Additionally, 5 individuals used a lap belt only, and 8 children used child restraint systems or booster seats.

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 majority of crashes, 43 out of 57, involved two vehicles. Single-vehicle crashes accounted for 13 incidents, representing 22.8% of all crashes. Only one crash involved three 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Archbold, OH
  • Total crash records analyzed: 57
  • Total persons involved: 126
  • Total vehicles involved: 102

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). "Archbold, OH Crash Intelligence Report: 2021." Published July 5, 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/archbold/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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Archbold, OH Crash Report — 2021 | ThatCarHitMe.com