Monthly Traffic Safety Analysis

27 CRASHES IN
MENDON, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

Total crashes in Mendon increased significantly from 12 in March 2025 to 27 in March 2026, representing a 125% increase year-over-year. This notable rise in crash incidents was accompanied by an increase in reported injuries, with 8 injuries in March 2026 compared to 3 in March 2025. There were no fatalities reported in either period.

27

125.0%was 12

Total Crash Events

0

Persons Killed

8

166.7%was 3

Persons Injured

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for Mendon shows a substantial increase in crash activity year-over-year, with total crashes rising by 125% from 12 in March 2025 to 27 in March 2026. This upward trend is also reflected in the number of injuries, which increased from 3 to 8 over the same period. Fatalities remained at zero in both March 2025 and March 2026.

1

Hit-and-Run Crashes — March 2026

3.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 3166.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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, with March 2026 experiencing its peak crash day on Tuesday with 8 crashes, whereas March 2025's peak was Friday with 3 crashes. The peak hour for crashes also changed, moving from 4 p.m. with 3 crashes in March 2025 to 5 p.m. with 5 crashes in March 2026. Crashes in March 2026 were more spread out throughout the day, particularly during morning and evening commute times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes in Mendon increased year-over-year, with March 2026 reporting 8 total injuries compared to 3 in March 2025. March 2026 saw 1 serious injury, 5 minor injuries, and 1 possible injury, while March 2025 only reported 2 possible injuries. The share of crashes with no injury decreased from 83.3% in March 2025 to 70.4% in March 2026.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.7%
Minor Injury5minor injury crashes18.5%
Possible Injury1possible injury crashes3.7%
-50.0%prior 2
No Injury19no injury crashes70.4%
90.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased from 4 crashes in March 2025 to 10 crashes in March 2026. 'Failed to yield right of way' also saw an increase, going from 1 crash to 4 crashes year-over-year. 'Followed too closely' remained constant at 2 crashes in both periods, while 'Inattention' emerged with 3 crashes in March 2026, not being a top factor in March 2025.

Officer-Reported Primary Contributing Cause

No improper driving10 (37%)
Failed to yield right of way4 (14.8%)
Inattention3 (11.1%)
Followed too closely2 (7.4%)
Disregarded traffic signs, signals, road markings2 (7.4%)
Driving too fast for conditions2 (7.4%)
Failure to keep in proper lane or running off road2 (7.4%)
Operating defective equipment1 (3.7%)
Physical impairment1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions significantly increased from 6 in March 2025 to 20 in March 2026. The number of crashes on 'Dry' road surfaces rose from 9 in March 2025 to 18 in March 2026, and on 'Wet' surfaces from 3 to 6. March 2026 also reported crashes under 'Ice', 'Slush', and 'Snow' conditions, which were not present in March 2025.

Weather

Clear/Clear11 (40.7%)
Clear7 (25.9%)
-12.5%prior 8
Cloudy2 (7.4%)
Sleet, hail (freezing rain or drizzle)2 (7.4%)
Rain/Rain1 (3.7%)
Snow/Snow1 (3.7%)
Cloudy/Snow1 (3.7%)
Rain1 (3.7%)
Rain/Clear1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight20 (74.1%)
233.3%prior 6
Dark - roadway not lighted3 (11.1%)
Dark - lighted roadway2 (7.4%)
Dark - unknown roadway lighting1 (3.7%)
Dusk1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry18 (66.7%)
100.0%prior 9
Wet6 (22.2%)
Ice1 (3.7%)
Slush1 (3.7%)
Snow1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
TOYOTA9 (20%)
50.0%prior 6
2
CHEVROLET6 (13.3%)
3
FORD5 (11.1%)
0.0%prior 5
4
HONDA5 (11.1%)
5
SUBARU3 (6.7%)
6
HYUNDAI3 (6.7%)
7
VOLVO3 (6.7%)
8
KIA MOTORS CORP2 (4.4%)
9
ACURA2 (4.4%)
10
RAM2 (4.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Female28 (56.0%)
115.4%prior 13
Male22 (44.0%)
57.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 4 in March 2025 to 10 in March 2026, making it the most frequent speed zone for crashes in the current period. The 45 mph speed zone also saw a notable increase from 1 crash in March 2025 to 6 crashes in March 2026. Crashes in the 35 mph speed zone increased from 2 to 5, and in the 40 mph speed zone from 3 to 4, with no fatalities reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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: 2026-03-01 through 2026-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: MENDON, MA
  • Total crash records analyzed: 27
  • Total persons involved: 53
  • Total vehicles involved: 45

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). "MENDON, MA Crash Intelligence Report: March 2026." Published June 21, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mendon/march-2026-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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Mendon, MA Crash Report — March 2026 | ThatCarHitMe.com