Yearly Traffic Safety Analysis

1,785 CRASHES IN
FRANKLIN, OH
2024

All metrics benchmarked against2023

In the current period, Franklin experienced 1,785 crashes, a 2.3% decrease from the 1,827 crashes recorded in the prior year. Despite the decrease in total crashes, fatalities significantly increased by 69.2%, rising from 13 to 22. Total injuries also saw an increase, climbing 10.0% from 650 to 715.

1,785

-2.3%was 1,827

Total Crash Events

22

69.2%was 13

Persons Killed

715

10.0%was 650

Persons Injured

188

1.1%was 186

Hit-and-Run Crashes

Note: "Persons Killed" (22) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) 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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Franklin decreased by 2.3% year-over-year, from 1,827 to 1,785. However, this period saw a concerning increase in crash severity, with total fatalities rising by 69.2% and total injuries increasing by 10.0%.

188

Hit-and-Run Crashes — 2024

1.1% vs prior (186)

Hit-and-run crashes increased slightly from 186 in the prior period to 188 in the current period. Concurrently, the hit-and-run rate also saw a modest increase, rising from 10.2% to 10.5% of all crashes.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

21

Motorists Killed

Prior: 1361.5%

16

Pedestrians Injured

Prior: 7128.6%

699

Motorists Injured

Prior: 6438.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, with a slight increase from 310 crashes in the prior year to 313 crashes in the current year. The peak hour for crashes shifted from 4 p.m. in the prior period, which had 131 crashes, to 3 p.m. in the current period, which recorded 139 crashes.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0.6% in the prior period to 1.01% in the current period. The number of fatal crashes rose from 11 to 18, and total fatalities increased from 13 to 22. Injury crashes also saw increases across all severity levels, with serious injury crashes rising from 45 to 47, minor injury crashes from 265 to 277, and possible injury crashes from 172 to 182.

Severity is per crash event (most severe injury). 18 fatal crash events resulted in 22 persons killed.

Outcome by Severity (Crash Events)

Fatal18fatal crashes1%
63.6%prior 11
Serious Injury47serious injury crashes2.6%
4.4%prior 45
Minor Injury277minor injury crashes15.5%
4.5%prior 265
Possible Injury182possible injury crashes10.2%
5.8%prior 172
No Injury1,261no injury crashes70.6%
-5.5%prior 1,334

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 1,109 to 1,043, while crashes during rainy conditions increased from 197 to 218. Similarly, crashes on wet road surfaces rose from 347 to 372, and those on snowy road surfaces increased from 28 to 45. Crashes in 'Dark - Roadway Not Lighted' conditions decreased from 493 to 462.

Weather

Clear1,043 (58.4%)
-6.0%prior 1,109
Cloudy435 (24.4%)
-0.5%prior 437
Rain218 (12.2%)
10.7%prior 197
Snow60 (3.4%)
7.1%prior 56
Fog; Smog; Smoke15 (0.8%)
-16.7%prior 18
Other/Unknown5 (0.3%)
Freezing Rain or Freezing Drizzle4 (0.2%)
Severe Crosswinds3 (0.2%)
Blowing Sand; Soil; Dirt; Snow1 (0.1%)
Sleet; Hail1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight1,087 (60.9%)
1.8%prior 1,068
Dark - Roadway Not Lighted462 (25.9%)
-6.3%prior 493
Dark - Lighted Roadway120 (6.7%)
-19.5%prior 149
Dawn/Dusk103 (5.8%)
-6.4%prior 110
Other/Unknown8 (0.4%)
60.0%prior 5
Dark - Unknown Roadway Lighting5 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry1,328 (74.4%)
-6.5%prior 1,420
Wet372 (20.8%)
7.2%prior 347
Snow45 (2.5%)
60.7%prior 28
Ice28 (1.6%)
40.0%prior 20
Other/Unknown5 (0.3%)
Slush4 (0.2%)
-33.3%prior 6
Sand; Mud; Dirt; Oil; Gravel2 (0.1%)
Water (Standing; Moving)1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

The age distribution of persons involved in crashes showed shifts, with increases in the 0-15 (291 to 393), 21-25 (418 to 455), 35-44 (583 to 618), 55-64 (405 to 430), and 65+ (383 to 444) age groups. Among top vehicle makes, Chevrolet crashes decreased from 515 to 460, while Honda crashes increased from 264 to 302.

Top Vehicle Makes (2,972 vehicles)

1
CHEVROLET460 (15.5%)
-10.7%prior 515
2
FORD451 (15.2%)
0.2%prior 450
3
HONDA302 (10.2%)
14.4%prior 264
4
TOYOTA231 (7.8%)
9.0%prior 212
5
JEEP147 (4.9%)
18.5%prior 124
6
DODGE140 (4.7%)
0.7%prior 139
7
NISSAN127 (4.3%)
-3.8%prior 132
8
KIA123 (4.1%)
7.0%prior 115
9
HYUNDAI119 (4%)
12.3%prior 106
10
GMC76 (2.6%)
-19.1%prior 94

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

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

Sex Distribution (3,820 persons with recorded sex)

Male2,217 (58.0%)
0.7%prior 2,202
Female1,603 (42.0%)
7.9%prior 1,485

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Franklin, OH
  • Total crash records analyzed: 1,785
  • Total persons involved: 3,942
  • Total vehicles involved: 2,972

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). "Franklin, OH Crash Intelligence Report: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/franklin/2024-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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Franklin, OH Crash Report — 2024 | ThatCarHitMe.com