Monthly Traffic Safety Analysis

23 CRASHES IN
FREETOWN, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in Freetown decreased by 37.8% from 37 in August 2024 to 23 in August 2025. Despite this overall reduction, DUI-related crashes increased from 0 to 2, marking a significant year-over-year shift. Injuries saw a slight increase, rising from 6 to 7.

23

-37.8%was 37

Total Crash Events

0

Persons Killed

7

16.7%was 6

Persons Injured

2

100.0%was 1

Hit-and-Run Crashes

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Freetown experienced a notable downward trend year-over-year, decreasing by 37.8% from 37 crashes in August 2024 to 23 crashes in August 2025. Total injuries, however, saw a slight increase of 16.7%, from 6 to 7.

2

Hit-and-Run Crashes — August 2025

100.0% vs prior (1)

Hit-and-run crashes increased by 100% year-over-year, rising from 1 crash in August 2024 to 2 crashes in August 2025. The hit-and-run rate also saw an increase, climbing from 2.7% in August 2024 to 8.7% in August 2025.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 616.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with the peak day moving from Thursday in August 2024 (9 crashes) to Friday in August 2025 (9 crashes). The peak crash hour also changed, shifting from 4p with 4 crashes in August 2024 to 9p with 3 crashes in August 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either August 2024 or August 2025. The total number of injured persons increased from 6 in August 2024 to 7 in August 2025. Crashes resulting in a 'Possible Injury' (C) appeared in August 2025 with 2 incidents, whereas none were reported in August 2024.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes13%
-50.0%prior 6
Possible Injury2possible injury crashes8.7%
No Injury16no injury crashes69.6%
-48.4%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Inattention', decreased significantly from 11 crashes in August 2024 to 4 crashes in August 2025, a 63.6% reduction in count. Conversely, 'No improper driving' shifted from the second most frequent factor with 9 crashes in August 2024 to the most frequent with 6 crashes in August 2025, representing a 33.3% decrease in count. 'Followed too closely' crashes decreased by 66.7%, from 3 in August 2024 to 1 in August 2025.

Officer-Reported Primary Contributing Cause

No improper driving6 (26.1%)-33.3%prior 9
Inattention4 (17.4%)-63.6%prior 11
Failed to yield right of way2 (8.7%)
Failure to keep in proper lane or running off road2 (8.7%)
Distracted2 (8.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.3%)
Made an improper turn1 (4.3%)
Followed too closely1 (4.3%)
Exceeded authorized speed limit1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions decreased from 29 in August 2024 to 13 in August 2025. Crashes in 'Dark - roadway not lighted' conditions increased from 5 in August 2024 to 7 in August 2025. Additionally, there was one crash reported in 'Snow' conditions in August 2025, which was not present in August 2024.

Weather

Clear18 (78.3%)
-37.9%prior 29
Clear/Clear3 (13.0%)
Rain1 (4.3%)
Snow1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight13 (59.1%)
-55.2%prior 29
Dark - roadway not lighted7 (31.8%)
40.0%prior 5
Dark - lighted roadway1 (4.5%)
Dawn1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry21 (91.3%)
-38.2%prior 34
Ice1 (4.3%)
Wet1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (32 vehicles)

1
TOYOTA6 (18.8%)
20.0%prior 5
2
CHEVROLET5 (15.6%)
-28.6%prior 7
3
FORD4 (12.5%)
-55.6%prior 9
4
GMC3 (9.4%)
5
SUBARU2 (6.3%)
6
JEEP1 (3.1%)
7
KAWK1 (3.1%)
8
LINC1 (3.1%)
9
MAZDA1 (3.1%)
10
NISSAN1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (34 persons with recorded sex)

Male21 (61.8%)
-46.2%prior 39
Female13 (38.2%)
-50.0%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 20 mph speed limit zone saw a significant increase, rising from 1 crash in August 2024 to 5 crashes in August 2025, a 400% change in count. Conversely, crashes in the 40 mph zone decreased by 83.3%, from 6 in August 2024 to 1 in August 2025, and crashes in the 65 mph zone decreased by 75%, from 8 to 2.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: FREETOWN, MA
  • Total crash records analyzed: 23
  • Total persons involved: 38
  • Total vehicles involved: 32

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/freetown/august-2025-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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Freetown, MA Crash Report — August 2025 | ThatCarHitMe.com