Monthly Traffic Safety Analysis

7 CRASHES IN
ORANGE, MA
NOVEMBER 2025

All metrics benchmarked againstNovember 2024

Total crashes in November 2025 decreased significantly by 61.1% compared to November 2024, falling from 18 to 7 incidents. This period also saw a notable shift in collision types, with single-vehicle crashes increasing from 38.9% of all crashes in November 2024 to 85.7% in November 2025.

7

-61.1%was 18

Total Crash Events

0

Persons Killed

1

-66.7%was 3

Persons Injured

0

-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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in November 2025 showed a substantial downward trend, with total incidents decreasing by 61.1% from 18 crashes in November 2024 to 7 crashes. Total injuries also decreased, from 3 in November 2024 to 1 in November 2025, while fatalities remained at 0 in both periods.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · 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; November 2024 saw peak crash activity on Friday and Sunday with 4 crashes each, while November 2025 reported an even distribution of 2 crashes each on Monday, Wednesday, and Saturday. The peak crash hour also changed from 3 PM with 3 crashes in November 2024 to 6 PM with 2 crashes in November 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either November 2024 or November 2025. Total injuries decreased from 3 in November 2024 to 1 in November 2025. In November 2024, injuries included one serious, one minor, and one possible injury, whereas November 2025 recorded only one minor injury.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes14.3%
0.0%prior 1
No Injury6no injury crashes85.7%
-60.0%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record

Top Contributing Factors

Comparing contributing factors, crashes attributed to 'No improper driving' decreased by 2, from 5 in November 2024 to 3 in November 2025. 'Inattention' related crashes also decreased by 3, from 4 in November 2024 to 1 in November 2025. Factors like 'Followed too closely' (3 crashes) and 'Driving too fast for conditions' (1 crash) were present in November 2024 but not in November 2025.

Officer-Reported Primary Contributing Cause

No improper driving3 (42.9%)-40.0%prior 5
Failed to yield right of way1 (14.3%)
Inattention1 (14.3%)
Physical impairment1 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 12 in November 2024 to 3 in November 2025, while 'Clear/Other' conditions increased from 1 to 3 crashes. Regarding lighting, crashes in 'Daylight' conditions decreased significantly from 11 in November 2024 to 1 in November 2025, and crashes in 'Dark - roadway not lighted' conditions decreased from 5 to 2. 'Dusk' conditions, accounting for 2 crashes, were reported in November 2025 but not in November 2024.

Weather

Clear3 (42.9%)
-75.0%prior 12
Clear/Other3 (42.9%)
Cloudy/Cloudy1 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Weather condition at time of crash

Lighting

Dark - lighted roadway2 (28.6%)
Dark - roadway not lighted2 (28.6%)
-60.0%prior 5
Dusk2 (28.6%)
Daylight1 (14.3%)
-90.9%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Lighting condition field

Road Surface

Dry5 (71.4%)
Wet2 (28.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (7 vehicles)

1
FORD2 (28.6%)
2
BMW1 (14.3%)
3
HONDA1 (14.3%)
4
PTRB1 (14.3%)
5
SUBARU1 (14.3%)
-80.0%prior 5
6
VOLVO1 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records

Sex Distribution (8 persons with recorded sex)

Male6 (75.0%)
-64.7%prior 17
Female2 (25.0%)
-85.7%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph zones decreased by 3, from 4 in November 2024 to 1 in November 2025. Similarly, crashes in 40 mph zones decreased by 1, and 55 mph zones decreased by 2. The 45 mph zone maintained 1 crash in both periods, while 10 mph and 25 mph zones, each with 1 crash in November 2024, had no reported crashes in November 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · 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: 2025-11-01 through 2025-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-11-01 through 2025-11-30 (30 days)
  • Geographic scope: ORANGE, MA
  • Total crash records analyzed: 7
  • Total persons involved: 8
  • Total vehicles involved: 7

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). "ORANGE, MA Crash Intelligence Report: November 2025." Published June 21, 2026. Reporting period: 2025-11-01 to 2025-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/orange/november-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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Orange, MA Crash Report — November 2025 | ThatCarHitMe.com