Monthly Traffic Safety Analysis

40 CRASHES IN
SOUTHBRIDGE, MA
FEBRUARY 2025

All metrics benchmarked againstFebruary 2024

In February 2025, SOUTHBRIDGE, MA experienced 40 crashes, a substantial increase from the 2 crashes reported in February 2024. This represents a 1900% increase in total crash incidents year-over-year. The most significant shift was this overall rise in crash volume, although fatalities decreased from 1 to 0.

40

1900.0%was 2

Total Crash Events

0

-100.0%was 1

Persons Killed

3

Persons Injured

4

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash incidents in SOUTHBRIDGE, MA show a significant upward trend, increasing by 1900% from 2 crashes in February 2024 to 40 crashes in February 2025. This indicates a substantial rise in traffic safety incidents year-over-year for the month.

4

Hit-and-Run Crashes — February 2025

10.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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. In February 2025, the peak day for crashes was Saturday with 9 incidents, compared to Thursday with 1 incident in February 2024. The peak hour also changed from 5 PM with 1 crash in the prior period to 2 PM with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in February 2024 to 0 in February 2025. Conversely, total injuries rose from 0 in February 2024 to 3 in February 2025, including 1 serious injury and 2 minor injuries. While the overall number of crashes increased significantly, the most severe outcomes became less frequent.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.5%
Minor Injury2minor injury crashes5%
No Injury32no injury crashes80%
3100.0%prior 1

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record

Top Contributing Factors

Officer-Reported Primary Contributing Cause

No improper driving17 (42.5%)
Failed to yield right of way4 (10%)
Inattention3 (7.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5%)
Over-correcting/over-steering1 (2.5%)
Physical impairment1 (2.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.5%)
Distracted1 (2.5%)
Driving too fast for conditions1 (2.5%)
Disregarded traffic signs, signals, road markings1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In February 2025, 17.5% of crashes (7 out of 40) occurred during adverse weather conditions, compared to 0% in February 2024. Crashes on non-dry road surfaces decreased proportionally, accounting for 37.5% of incidents (15 out of 40) in the current period versus 50% (1 out of 2) in the prior period. Similarly, crashes during non-daylight conditions also saw a proportional decrease, representing 37.5% of crashes (15 out of 40) in February 2025 compared to 50% (1 out of 2) in February 2024.

Weather

Clear26 (68.4%)
Cloudy3 (7.9%)
Snow/Sleet, hail (freezing rain or drizzle)3 (7.9%)
Sleet, hail (freezing rain or drizzle)2 (5.3%)
Rain2 (5.3%)
Snow2 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash

Lighting

Daylight24 (61.5%)
Dark - lighted roadway10 (25.6%)
Dark - roadway not lighted2 (5.1%)
Dawn2 (5.1%)
Dark - unknown roadway lighting1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field

Road Surface

Dry24 (61.5%)
Ice6 (15.4%)
Wet4 (10.3%)
Snow3 (7.7%)
Slush2 (5.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (64 vehicles)

1
TOYOTA12 (18.8%)
2
FORD9 (14.1%)
3
CHEVROLET7 (10.9%)
4
HONDA7 (10.9%)
5
JEEP4 (6.3%)
6
RAM3 (4.7%)
7
NISSAN2 (3.1%)
8
SUBARU2 (3.1%)
9
SUZI2 (3.1%)
10
CADI2 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records

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

Sex Distribution (59 persons with recorded sex)

Male32 (54.2%)
Female27 (45.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events

Speed Limit Zones

In February 2025, 34 crashes occurred in 25 mph zones, 1 crash in a 30 mph zone, 1 crash in a 35 mph zone, 1 crash in a 40 mph zone, and 3 crashes in 45 mph zones, with no fatalities across all zones. This contrasts with February 2024, where both crashes occurred in 25 mph zones, with one resulting in a fatality. The fatal crash rate in 25 mph zones decreased from 50% in the prior period to 0% in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-02-01 through 2025-02-28 (28 days)
  • Geographic scope: SOUTHBRIDGE, MA
  • Total crash records analyzed: 40
  • Total persons involved: 76
  • Total vehicles involved: 64

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). "SOUTHBRIDGE, MA Crash Intelligence Report: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/southbridge/february-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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Southbridge, MA Crash Report — February 2025 | ThatCarHitMe.com