Monthly Traffic Safety Analysis

27 CRASHES IN
UXBRIDGE, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, UXBRIDGE recorded 27 total crashes, marking a 25% decrease compared to the 36 crashes reported in December 2024. The most notable shift was a 53.8% reduction in total injuries, falling from 13 to 6 year-over-year. Fatalities remained at 0 in both periods.

27

▼ -25.0%was 36

Total Crash Events

0

Persons Killed

6

▼ -53.8%was 13

Persons Injured

4

▼ -20.0%was 5

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.

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

The overall trend indicates a significant decrease in crash activity year-over-year, with total crashes falling by 25% from 36 to 27. Correspondingly, total injuries also saw a substantial reduction, decreasing by 53.8% from 13 to 6.

4

Hit-and-Run Crashes — December 2025

▼ -20.0% vs prior (5)

The number of hit-and-run crashes decreased from 5 in December 2024 to 4 in December 2025. However, the hit-and-run rate, as a percentage of total crashes, slightly increased from 13.9% in the prior period to 14.8% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

6

Motorists Injured

Prior: 13↓-53.8%

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 peak day for crashes shifted from Tuesday with 9 crashes in December 2024 to Friday with 6 crashes in December 2025. Similarly, the peak crash hour moved from 4 PM with 5 crashes in the prior period to 11 PM with 3 crashes in the current period.

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

There were no fatal crashes or fatalities reported in either December 2024 or December 2025. The proportion of 'No Injury' crashes increased from 72.2% in the prior period to 77.8% in the current period, while 'Possible Injury' crashes decreased from 8.3% to 3.7%.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes18.5%
↓-16.7%prior 6
Possible Injury1possible injury crashes3.7%
↓-66.7%prior 3
No Injury21no injury crashes77.8%
↓-19.2%prior 26

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 leading contributing factor, 'No improper driving,' remained at 14 crashes in both periods, though its share of total crashes increased from 38.9% to 51.9%. Crashes attributed to 'Driving too fast for conditions' decreased by 1, from 3 in the prior period to 2 in the current period, while 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' increased by 1 crash, from 1 to 2.

Officer-Reported Primary Contributing Cause

No improper driving14 (51.9%)→0.0%prior 14
Driving too fast for conditions2 (7.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (7.4%)
Other improper action1 (3.7%)
Inattention1 (3.7%)
Failed to yield right of way1 (3.7%)
Glare1 (3.7%)
Disregarded traffic signs, signals, road markings1 (3.7%)

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

Crashes occurring in 'Clear' weather conditions decreased from 17 to 14 year-over-year, and those on 'Wet' road surfaces decreased from 10 to 5. Conversely, crashes in 'Dark - lighted roadway' conditions increased from 2 to 6, while crashes in 'Daylight' conditions decreased from 15 to 9.

Weather

Clear14 (51.9%)
↓-17.6%prior 17
Clear/Clear2 (7.4%)
Cloudy2 (7.4%)
Rain2 (7.4%)
Rain/Other2 (7.4%)
Clear/Cloudy1 (3.7%)
Sleet, hail (freezing rain or drizzle)/Cloudy1 (3.7%)
Sleet, hail (freezing rain or drizzle)/Snow1 (3.7%)
Snow/Rain1 (3.7%)
Snow/Sleet, hail (freezing rain or drizzle)1 (3.7%)

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

Lighting

Daylight9 (36.0%)
↓-40.0%prior 15
Dark - roadway not lighted7 (28.0%)
↓-46.2%prior 13
Dark - lighted roadway6 (24.0%)
Dusk2 (8.0%)
Dawn1 (4.0%)

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

Road Surface

Dry17 (63.0%)
↓-10.5%prior 19
Wet5 (18.5%)
↓-50.0%prior 10
Snow3 (11.1%)
Ice2 (7.4%)

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 (47 vehicles)

1
TOYOTA9 (19.1%)
↓-18.2%prior 11
2
CHEVROLET8 (17%)
3
HONDA5 (10.6%)
4
FORD5 (10.6%)
↓-37.5%prior 8
5
HYUNDAI3 (6.4%)
6
VOLVO2 (4.3%)
7
JEEP2 (4.3%)
8
SUBARU2 (4.3%)
↓-66.7%prior 6
9
NISSAN1 (2.1%)
↓-83.3%prior 6
10
GMC1 (2.1%)

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

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

Sex Distribution (47 persons with recorded sex)

Male27 (57.4%)
↓-27.0%prior 37
Female20 (42.6%)
↓-42.9%prior 35

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 increased from 1 in December 2024 to 4 in December 2025, while those in the 45 mph zone decreased from 6 to 1. The 35 mph zone, which had the highest crash count in the current period (6 crashes), experienced a decrease from 8 crashes in the prior period. Fatal crash rates remained 0 in all speed zones for both periods.

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: UXBRIDGE, MA
  • Total crash records analyzed: 27
  • Total persons involved: 57
  • Total vehicles involved: 47

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). "UXBRIDGE, 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/uxbridge/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

ThatCarHitMe.com · An Injuria.ai Company

Uxbridge, MA Crash Report — December 2025 | ThatCarHitMe.com