Monthly Traffic Safety Analysis

107 CRASHES IN
FRAMINGHAM, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, Framingham experienced a notable decrease in overall crash incidents compared to October 2024. Total crashes fell from 141 to 107, representing a 24.1% reduction. Crucially, there were no fatalities reported in October 2025, a decrease from one fatality in October 2024, marking the most significant year-over-year shift in safety outcomes.

107

-24.1%was 141

Total Crash Events

0

-100.0%was 1

Persons Killed

37

-11.9%was 42

Persons Injured

14

-30.0%was 20

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant decline in crash incidents year-over-year in Framingham. Total crashes decreased by 24.1%, from 141 in October 2024 to 107 in October 2025. This period also saw a reduction in total injuries, from 42 to 37, and a positive shift from one fatal crash to zero.

14

Hit-and-Run Crashes — October 2025

-30.0% vs prior (20)

Hit-and-run incidents decreased in October 2025 compared to the prior year. The number of hit-and-run crashes fell from 20 to 14, a 30% reduction. Consequently, the hit-and-run rate also saw a slight decrease, moving from 14.2% of all crashes in October 2024 to 13.1% in October 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

0

Other Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 1100.0%

1

Cyclists Injured

Prior: 4-75.0%

32

Motorists Injured

Prior: 35-8.6%

2

Other Injured

Prior: 20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed shifts in both peak day and peak hour. While October 2024 saw the highest crash count on Fridays with 26 incidents, October 2025 shifted to Tuesdays as the peak day with 20 crashes. The peak hour for crashes also moved, with 5 PM being the peak in October 2024 (13 crashes) and 3 PM becoming the peak in October 2025, also with 13 crashes, representing a 116.7% increase for that specific hour.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes improved, with no fatal crashes in October 2025 compared to one fatal crash in October 2024. Serious injuries decreased from 3 in October 2024 to 2 in October 2025, a 33.3% reduction. The proportion of crashes resulting in any injury (serious, minor, or possible) increased slightly from 23.4% (33 of 141 crashes) in October 2024 to 28.0% (30 of 107 crashes) in October 2025.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes1.9%
-33.3%prior 3
Minor Injury21minor injury crashes19.6%
10.5%prior 19
Possible Injury7possible injury crashes6.5%
-36.4%prior 11
No Injury73no injury crashes68.2%
-25.5%prior 98

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' decreased by 42.1% in count, from 38 in October 2024 to 22 in October 2025. Conversely, 'Failed to yield right of way' increased by 11.1% in count, from 18 to 20 incidents. 'Followed too closely' remained constant at 18 incidents, but its share of total crashes increased from 14.2% to 16.8% due to the overall decrease in crash volume.

Officer-Reported Primary Contributing Cause

No improper driving22 (20.6%)-42.1%prior 38
Failed to yield right of way20 (18.7%)11.1%prior 18
Followed too closely18 (16.8%)-10.0%prior 20
Failure to keep in proper lane or running off road10 (9.3%)100.0%prior 5
Disregarded traffic signs, signals, road markings8 (7.5%)0.0%prior 8
Inattention5 (4.7%)-16.7%prior 6
Made an improper turn3 (2.8%)-50.0%prior 6
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (1.9%)
Exceeded authorized speed limit1 (0.9%)
Distracted1 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

There was a notable shift in crash conditions, with a higher proportion of crashes occurring in adverse weather and road conditions in October 2025. The percentage of crashes on wet road surfaces significantly increased from 3.5% (5 crashes) in October 2024 to 21.5% (23 crashes) in October 2025. Similarly, crashes occurring during rain conditions rose from 2.8% (4 crashes) to 19.6% (21 crashes) year-over-year.

Weather

Clear/Clear46 (43.4%)
-38.7%prior 75
Clear33 (31.1%)
-32.7%prior 49
Rain/Rain10 (9.4%)
Rain7 (6.6%)
Cloudy/Cloudy4 (3.8%)
-33.3%prior 6
Rain/Cloudy3 (2.8%)
Clear/Cloudy1 (0.9%)
Cloudy1 (0.9%)
Cloudy/Rain1 (0.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash

Lighting

Daylight76 (71.7%)
-15.6%prior 90
Dark - lighted roadway21 (19.8%)
-40.0%prior 35
Dawn4 (3.8%)
Dark - roadway not lighted3 (2.8%)
-40.0%prior 5
Dark - unknown roadway lighting1 (0.9%)
Dusk1 (0.9%)
-83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field

Road Surface

Dry84 (78.5%)
-37.8%prior 135
Wet23 (21.5%)
360.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 275 in October 2024 to 207 in October 2025, a 24.7% reduction. The ranking of top vehicle makes shifted, with Toyota decreasing by 49.2% in count from 63 to 32, moving from the top spot to second. Honda increased its count by 16.1%, from 31 to 36, becoming the most frequently involved make.

Top Vehicle Makes (207 vehicles)

1
HONDA36 (17.4%)
16.1%prior 31
2
TOYOTA32 (15.5%)
-49.2%prior 63
3
FORD18 (8.7%)
-18.2%prior 22
4
NISSAN12 (5.8%)
-42.9%prior 21
5
CHEVROLET12 (5.8%)
-25.0%prior 16
6
SUBARU10 (4.8%)
66.7%prior 6
7
HYUNDAI8 (3.9%)
0.0%prior 8
8
JEEP8 (3.9%)
-46.7%prior 15
9
MAZDA7 (3.4%)
40.0%prior 5
10
GMC7 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Vehicle unit records

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

Sex Distribution (207 persons with recorded sex)

Male109 (52.7%)
-43.2%prior 192
Female98 (47.3%)
-17.6%prior 119

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in speed limit zones saw a general decrease year-over-year. Crashes in 25 mph zones decreased from 4 to 3, a 25% reduction, while those in 65 mph zones dropped from 13 to 8, a 38.5% decrease. The number of crashes in 30 mph and 40 mph zones remained consistent at 8 and 3, respectively, across both periods, and no fatalities were recorded in any listed speed zone in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-10-01 through 2025-10-31 (31 days)
  • Geographic scope: FRAMINGHAM, MA
  • Total crash records analyzed: 107
  • Total persons involved: 247
  • Total vehicles involved: 207

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). "FRAMINGHAM, MA Crash Intelligence Report: October 2025." Published June 21, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/framingham/october-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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Framingham, MA Crash Report — October 2025 | ThatCarHitMe.com