ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FREETOWN, 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/freetown/2024-annual-report
Yearly Traffic Safety Analysis
252 CRASHES IN
FREETOWN, MA
2024
In 2024, Freetown recorded 252 total crashes, an 11.0% increase from the 227 crashes reported in 2023. While total fatalities remained stable at 2 for both years, the number of reported injuries rose by 27.8%, from 72 to 92. A notable shift occurred in contributing factors, where crashes attributed to inattention increased by 77%, from 22 incidents in 2023 to 39 in 2024.
252
▲ 11.0%was 227
Total Crash Events
2
Persons Killed
92
▲ 27.8%was 72
Persons Injured
7
▼ -56.3%was 16
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. 2 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
Overall traffic crash incidents in Freetown show an upward trend year-over-year. Total crashes increased by 11.0%, from 227 in 2023 to 252 in 2024. This increase was accompanied by a 27.8% rise in total injuries, from 72 to 92, while the number of fatalities remained unchanged at two.
7
Hit-and-Run Crashes — 2024
▼ -56.3% vs prior (16)
Hit-and-run incidents saw a significant decrease in 2024 compared to the prior year. The total number of hit-and-run crashes fell by 56%, from 16 in 2023 to 7 in 2024. Consequently, the hit-and-run rate, measured as a percentage of total crashes, dropped from 7.0% to 2.8%, indicating a downward trend for this type of incident.
Vulnerable Road User Casualties
2
Motorists Killed
0
Other Killed
91
Motorists Injured
1
Other 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 temporal patterns of crashes shifted between the two periods. In 2024, the peak day for crashes was Tuesday with 56 incidents, a change from 2023 when Thursday was the peak day with 35 crashes. Similarly, the peak hour for crashes moved from the morning commute at 8 a.m. in 2023 (17 crashes) to the afternoon commute at 4 p.m. in 2024 (19 crashes).
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 shows a mixed trend year-over-year. The fatal crash rate increased from 0.44 per 100 crashes in 2023 to 0.79 in 2024, with fatal crashes doubling from one to two. Conversely, the proportion of crashes resulting in serious injury decreased from 4.0% to 1.2%. The share of crashes involving minor or possible injuries increased, with minor injury crashes rising from a 14.5% share to 16.7% and possible injury crashes from 6.2% to 8.7%.
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
A comparison of contributing factors reveals significant shifts in driver behavior. Crashes attributed to 'Inattention' increased by 77%, from 22 incidents in 2023 to 39 in 2024, making it the most common improper driving factor in the current period. The count of crashes involving 'Failed to yield right of way' also grew by 62%, from 13 to 21. Conversely, incidents due to 'Failure to keep in proper lane or running off road' decreased from a count of 17 in 2023 to 13 in 2024.
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
Environmental conditions for crashes remained broadly consistent year-over-year. In both 2023 and 2024, the majority of crashes occurred on dry roads (82.4% and 80.2% of total crashes, respectively) and in clear weather (71.8% in both periods). There was a slight increase in the proportion of crashes occurring during daylight, which rose from 59.9% of all incidents in 2023 to 64.3% in 2024. The share of crashes under adverse conditions did not change significantly.
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 vehicle makes most frequently involved in crashes remained consistent, with Ford, Honda, and Toyota among the top makes in both years, though their ranking shifted; Ford became the most common make in 2024 with 49 vehicles, up from 42 in 2023. Regarding persons involved, there was a notable increase in the 26-34 age group, which grew from 72 individuals in 2023 to 91 in 2024. The 16-20 age group also saw an increase in involvement, from 58 to 71 persons.
Top Vehicle Makes (379 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
17 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (445 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 different speed zones shows some changes year-over-year. The number of crashes in 65 mph zones remained stable, with 64 in 2023 and 63 in 2024. However, there was an increase in crashes within 40 mph zones, which rose from 37 to 47 incidents. In 2023, the single fatal crash occurred in a 65 mph zone; in 2024, one of the two fatal crashes occurred in a 15 mph zone.
Fatal crashes by zone: 15 mph: 1 of 17 (5.882%)
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: FREETOWN, MA
- Total crash records analyzed: 252
- Total persons involved: 467
- Total vehicles involved: 379
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). "FREETOWN, 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/freetown/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