Yearly Traffic Safety Analysis

569 CRASHES IN
BATAVIA, OH
2023

All metrics benchmarked against2022

The jurisdiction of Batavia saw a decrease in overall crash activity in 2023 compared to 2022, with total crashes falling by 13.79% from 660 to 569. The most notable year-over-year shift was a significant reduction in total fatalities, which decreased by 57.14% from 7 in 2022 to 3 in 2023. This decline in fatalities represents a substantial improvement in safety outcomes.

569

-13.8%was 660

Total Crash Events

3

-57.1%was 7

Persons Killed

201

-13.4%was 232

Persons Injured

48

-22.6%was 62

Hit-and-Run Crashes

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Batavia showed a decline across key metrics from 2022 to 2023. Total crashes decreased by 13.79%, falling from 660 to 569 incidents. Concurrently, total fatalities saw a substantial decrease of 57.14%, moving from 7 to 3, and total injuries also dropped by 13.36%, from 232 to 201.

48

Hit-and-Run Crashes — 2023

-22.6% vs prior (62)

Hit-and-run incidents showed a downward trend, with the count decreasing by 14 crashes, from 62 in 2022 to 48 in 2023. Consequently, the hit-and-run crash rate decreased by 1.0 percentage point, from 9.4% in 2022 to 8.4% in 2023. This indicates an improvement in the proportion of crashes where drivers remained at the scene.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

2

Motorists Killed

Prior: 7-71.4%

2

Pedestrians Injured

Prior: 5-60.0%

199

Motorists Injured

Prior: 227-12.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two years. In 2023, the peak day for crashes was Wednesday with 102 incidents, a change from Friday which had 120 crashes in 2022. The peak hour for crashes also shifted from 4 PM in 2022 (55 crashes) to 5 PM in 2023 (45 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes improved, with the fatal crash rate decreasing from 0.76% in 2022 to 0.53% in 2023. This change reflects a 57.14% reduction in total fatalities, from 7 to 3. The proportion of crashes resulting in any injury (A, B, or C severity) remained relatively stable, accounting for 23.7% of crashes in 2023 compared to 24.0% in 2022.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.5%
-40.0%prior 5
Serious Injury12serious injury crashes2.1%
-14.3%prior 14
Minor Injury81minor injury crashes14.2%
-23.6%prior 106
Possible Injury42possible injury crashes7.4%
10.5%prior 38
No Injury431no injury crashes75.7%
-13.3%prior 497

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Notable shifts were observed in crashes occurring under specific conditions. Crashes in snowy conditions decreased by 51.61%, from 31 in 2022 to 15 in 2023. Conversely, crashes on wet road surfaces experienced an 8.0% increase, rising from 125 in 2022 to 135 in 2023.

Weather

Clear316 (55.5%)
-16.8%prior 380
Cloudy158 (27.8%)
-7.6%prior 171
Rain72 (12.7%)
9.1%prior 66
Snow15 (2.6%)
-51.6%prior 31
Other/Unknown3 (0.5%)
Fog; Smog; Smoke3 (0.5%)
Severe Crosswinds1 (0.2%)
Sleet; Hail1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight391 (68.7%)
-15.0%prior 460
Dark - Roadway Not Lighted105 (18.5%)
-13.2%prior 121
Dark - Lighted Roadway38 (6.7%)
0.0%prior 38
Dawn/Dusk30 (5.3%)
-16.7%prior 36
Other/Unknown3 (0.5%)
-40.0%prior 5
Dark - Unknown Roadway Lighting2 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry415 (72.9%)
-14.6%prior 486
Wet135 (23.7%)
8.0%prior 125
Snow10 (1.8%)
-71.4%prior 35
Other/Unknown4 (0.7%)
Ice3 (0.5%)
-62.5%prior 8
Sand; Mud; Dirt; Oil; Gravel1 (0.2%)
Water (Standing; Moving)1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 16.32%, from 1146 in 2022 to 959 in 2023. All age groups experienced a reduction in persons involved in crashes, with the 0-15 age group showing the largest percentage decrease of 37.49% (from 176 to 110 persons). The top vehicle makes involved, Ford, Chevrolet, and Honda, all saw fewer vehicles involved in 2023 compared to 2022.

Top Vehicle Makes (959 vehicles)

1
FORD179 (18.7%)
-20.1%prior 224
2
CHEVROLET144 (15%)
-20.9%prior 182
3
HONDA92 (9.6%)
-5.2%prior 97
4
TOYOTA81 (8.4%)
-12.9%prior 93
5
DODGE62 (6.5%)
-8.8%prior 68
6
KIA55 (5.7%)
14.6%prior 48
7
NISSAN50 (5.2%)
-3.8%prior 52
8
JEEP33 (3.4%)
-29.8%prior 47
9
HYUNDAI26 (2.7%)
-23.5%prior 34
10
GMC23 (2.4%)
-39.5%prior 38

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (1,198 persons with recorded sex)

Male684 (57.1%)
-14.0%prior 795
Female514 (42.9%)
-30.1%prior 735

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Batavia, OH
  • Total crash records analyzed: 569
  • Total persons involved: 1,230
  • Total vehicles involved: 959

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). "Batavia, OH Crash Intelligence Report: 2023." Published July 6, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/batavia/2023-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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Batavia, OH Crash Report — 2023 | ThatCarHitMe.com