Monthly Traffic Safety Analysis

19 CRASHES IN
TOWNSEND, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

Total crashes in Townsend for December increased by 5.56%, from 18 crashes in 2024 to 19 crashes in 2025. A notable shift was the emergence of DUI-related crashes, which increased from 0 in December 2024 to 2 in December 2025.

19

5.6%was 18

Total Crash Events

0

Persons Killed

2

-50.0%was 4

Persons Injured

0

Fatal Crash Events

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in Townsend showed a slight upward trend year-over-year, with a 5.56% increase from 18 crashes in December 2024 to 19 crashes in December 2025. Fatalities remained stable at 0 in both periods, while total injuries decreased from 4 to 2.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 4-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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 December 2025, the peak day for crashes was Tuesday with 6 incidents, whereas in December 2024, Saturday was the peak day, also with 6 incidents. The peak crash hour also shifted, with December 2025 experiencing a peak at 9 PM with 3 crashes, compared to 6 PM with 3 crashes in December 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both December 2024 and December 2025. Total injuries decreased from 4 in December 2024 to 2 in December 2025. Minor injury crashes accounted for 10.5% of crashes (2 incidents) in December 2025, a decrease from 16.7% (3 incidents) in December 2024, and possible injury crashes (1 incident) present in December 2024 were absent in December 2025.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes10.5%
-33.3%prior 3
No Injury17no injury crashes89.5%
21.4%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, "No improper driving," decreased from 6 incidents in December 2024 to 4 incidents in December 2025. "Failed to yield right of way" incidents decreased from 3 to 2, while "Inattention" remained stable with 2 incidents in both periods. There was an increase in "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" and "Fatigued/asleep" incidents, both rising from 0 in December 2024 to 2 in December 2025.

Officer-Reported Primary Contributing Cause

No improper driving4 (21.1%)-33.3%prior 6
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (10.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (10.5%)
Inattention2 (10.5%)
Failed to yield right of way2 (10.5%)
Fatigued/asleep2 (10.5%)
Made an improper turn1 (5.3%)
Driving too fast for conditions1 (5.3%)
Disregarded traffic signs, signals, road markings1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather conditions remained consistent for "Clear" and "Cloudy" conditions, both reporting 10 and 4 crashes respectively in both periods, and "Snow" also remained stable at 2 crashes. Crashes occurring in "Dark - roadway not lighted" and "Daylight" conditions each increased by 2 incidents, from 7 to 9. Road surface conditions saw an increase in crashes on "Snow" surfaces, rising from 3 to 5 incidents, while crashes on "Dry" surfaces decreased by 1, from 13 to 12.

Weather

Clear10 (52.6%)
0.0%prior 10
Cloudy4 (21.1%)
Snow2 (10.5%)
Sleet, hail (freezing rain or drizzle)1 (5.3%)
Snow/Cloudy1 (5.3%)
Snow/Sleet, hail (freezing rain or drizzle)1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Dark - roadway not lighted9 (47.4%)
28.6%prior 7
Daylight9 (47.4%)
28.6%prior 7
Dark - lighted roadway1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry12 (63.2%)
-7.7%prior 13
Snow5 (26.3%)
Ice1 (5.3%)
Slush1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (27 vehicles)

1
TOYOTA9 (33.3%)
12.5%prior 8
2
FORD7 (25.9%)
3
HONDA4 (14.8%)
4
GMC3 (11.1%)
5
VOLKSWAGEN1 (3.7%)
6
HYUNDAI1 (3.7%)
7
JEEP1 (3.7%)
8
MACK1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records

Sex Distribution (30 persons with recorded sex)

Male18 (60.0%)
12.5%prior 16
Female12 (40.0%)
-25.0%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone decreased by 1, from 4 in December 2024 to 3 in December 2025. Conversely, crashes in the 30 mph, 35 mph, and 40 mph speed zones increased, with 30 mph rising from 4 to 5, 35 mph from 3 to 5, and 40 mph from 2 to 5. Additionally, crashes in the 10 mph, 15 mph, and 20 mph speed zones, which accounted for 1 crash each in December 2024, were not reported in December 2025. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: TOWNSEND, MA
  • Total crash records analyzed: 19
  • Total persons involved: 30
  • Total vehicles involved: 27

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). "TOWNSEND, MA Crash Intelligence Report: December 2025." Published June 21, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/townsend/december-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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Townsend, MA Crash Report — December 2025 | ThatCarHitMe.com