ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FRANKLIN, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/franklin/2024-annual-report
Yearly Traffic Safety Analysis
330 CRASHES IN
FRANKLIN, MA
2024
In 2024, Franklin recorded 330 total crashes, an 18.7% increase from the 278 crashes reported in 2023. While overall collisions rose, the most notable year-over-year shift was a sharp increase in speed-related incidents. Crashes attributed to 'Driving too fast for conditions' rose from 6 in 2023 to 20 in 2024, and total speeding-related crashes increased from 13 to 31.
330
▲ 18.7%was 278
Total Crash Events
2
▲ 100.0%was 1
Persons Killed
100
▼ -5.7%was 106
Persons Injured
14
▲ 16.7%was 12
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 13 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Franklin show a notable increase year-over-year, with total collisions rising from 278 in 2023 to 330 in 2024, an 18.7% increase. Despite the rise in collisions, the total number of people injured saw a slight decrease from 106 to 100. Fatalities, however, increased from one person in 2023 to two in 2024.
14
Hit-and-Run Crashes — 2024
▲ 16.7% vs prior (12)
The number of hit-and-run incidents increased from 12 in 2023 to 14 in 2024. However, because total crashes increased at a faster pace, the hit-and-run rate as a percentage of all crashes saw a marginal decrease. The rate fell from 4.3% in the prior period to 4.2% in the current period.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
1
Cyclists Injured
99
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly 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 times for crashes remained consistent between 2023 and 2024, with Thursday being the most frequent day and the 3 p.m. hour being the most common time for collisions in both years. However, the volume of crashes during these peak periods increased. In 2024, crashes on Thursday rose to 67 from 47 the prior year, and crashes during the 3 p.m. hour increased from 29 to 35.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted slightly between the two periods. The fatal crash rate increased from 0.36% in 2023 to 0.61% in 2024, with fatal crashes rising from one to two. While the overall proportion of crashes involving any injury decreased from 25.2% to 22.7%, the share of crashes resulting in a serious injury rose from 1.8% (5 crashes) to 2.4% (8 crashes).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained broadly consistent, with 'Inattention' becoming the second most-cited factor in 2024, increasing from 37 to 42 incidents. The most significant change was in speed-related factors; crashes attributed to 'Driving too fast for conditions' rose from 6 in 2023 to 20 in 2024, a 233% increase in count. Similarly, crashes citing 'Exceeded authorized speed limit' increased from 5 to 8 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Most crashes in both years occurred in daylight and on dry roads. However, there was a noticeable increase in crashes under adverse winter conditions, with the number of crashes on snowy road surfaces rising from 5 in 2023 to 21 in 2024. The proportion of total crashes occurring on dry roads decreased from 79.9% in 2023 to 72.7% in 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Toyota, Honda, and Ford in both years, with counts increasing for all three. An analysis of persons involved in crashes shows an increase in numbers across most age groups, corresponding with the overall rise in collisions. For instance, the number of individuals in the 16-20 age group involved in crashes grew from 90 to 103, and those in the 65+ group increased from 64 to 78.
Top Vehicle Makes (607 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
44 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (657 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted towards higher speeds in 2024. The proportion of recorded crashes occurring in zones with speed limits over 40 mph increased from 25.3% in 2023 to 33.3% in 2024, including a rise in crashes in 65 mph zones from 36 to 48. The two fatal crashes in 2024 occurred in 40 mph and 65 mph zones, whereas the single fatal crash in 2023 was in a 30 mph zone.
Fatal crashes by zone: 40 mph: 1 of 36 (2.778%) · 65 mph: 1 of 48 (2.083%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly 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: Arcgis_yearly 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: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: FRANKLIN, MA
- Total crash records analyzed: 330
- Total persons involved: 724
- Total vehicles involved: 607
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, MA Crash Intelligence Report: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved