Monthly Traffic Safety Analysis

38 CRASHES IN
HANOVER, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, HANOVER experienced 38 crashes, a 5.6% increase compared to the 36 crashes recorded in March 2024. Total injuries also increased from 7 to 9. A notable shift was observed in contributing factors, with 'Failed to yield right of way' crashes increasing by 55.6% year-over-year.

38

5.6%was 36

Total Crash Events

0

Persons Killed

9

28.6%was 7

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for HANOVER indicates a slight upward trend year-over-year, with total crashes increasing from 36 in March 2024 to 38 in March 2025. This represents a 5.6% rise in crash incidents. Concurrently, the total number of injuries increased by 28.6%, from 7 to 9.

1

Hit-and-Run Crashes — March 2025

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 in both March 2024 and March 2025. The hit-and-run rate slightly decreased from 2.8% of total crashes in the prior period to 2.6% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 728.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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 Friday in March 2024, with 9 crashes, to Tuesday in March 2025, also with 9 crashes. The peak hour for crashes also changed, moving from 4 p.m. with 5 crashes in March 2024 to 3 p.m. with 8 crashes in March 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both March 2024 and March 2025. While there were no minor injuries reported in March 2024, the current period recorded 2 minor injury crashes. Possible injury crashes decreased from 6 (16.7% share) in March 2024 to 4 (10.5% share) in March 2025, but total injuries still increased from 7 to 9.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes5.3%
Possible Injury4possible injury crashes10.5%
-33.3%prior 6
No Injury32no injury crashes84.2%
6.7%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failed to yield right of way' saw a substantial increase, rising from 9 crashes in March 2024 to 14 crashes in March 2025, a 55.6% increase in count. Conversely, 'Followed too closely' crashes decreased by 62.5% in count, from 8 in March 2024 to 3 in March 2025. 'No improper driving' also increased from 1 crash to 4 crashes, a 300% increase in count.

Officer-Reported Primary Contributing Cause

Failed to yield right of way14 (36.8%)55.6%prior 9
No improper driving4 (10.5%)
Failure to keep in proper lane or running off road4 (10.5%)
Inattention3 (7.9%)
Followed too closely3 (7.9%)-62.5%prior 8
Over-correcting/over-steering2 (5.3%)
Disregarded traffic signs, signals, road markings1 (2.6%)
Operating defective equipment1 (2.6%)
Visibility obstructed1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on dry road surfaces increased from 23 in March 2024 to 30 in March 2025, while crashes on wet road surfaces decreased from 13 to 7. Crashes during clear weather conditions increased from 19 to 23 year-over-year. Crashes during rainy conditions (including combined categories) decreased from 11 in March 2024 to 6 in March 2025.

Weather

Clear23 (62.2%)
21.1%prior 19
Cloudy7 (18.9%)
16.7%prior 6
Rain6 (16.2%)
Clear/Cloudy1 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight29 (76.3%)
3.6%prior 28
Dark - lighted roadway7 (18.4%)
16.7%prior 6
Dark - roadway not lighted1 (2.6%)
Dusk1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry30 (81.1%)
30.4%prior 23
Wet7 (18.9%)
-46.2%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes slightly increased from 71 in March 2024 to 73 in March 2025. Among vehicle makes, Toyota crashes decreased from 16 to 10, while Chevrolet crashes increased from 6 to 9, and Nissan crashes increased from 4 to 8. The number of persons aged 65 and older involved in crashes increased from 12 to 20, representing a 66.7% rise, while persons aged 21-25 involved in crashes decreased from 12 to 9.

Top Vehicle Makes (73 vehicles)

1
TOYOTA10 (13.7%)
-37.5%prior 16
2
CHEVROLET9 (12.3%)
50.0%prior 6
3
NISSAN8 (11%)
4
FORD8 (11%)
14.3%prior 7
5
HONDA7 (9.6%)
-12.5%prior 8
6
VOLKSWAGEN5 (6.8%)
7
LEXUS4 (5.5%)
8
JEEP4 (5.5%)
9
GMC3 (4.1%)
10
HYUNDAI2 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (92 persons with recorded sex)

Female50 (54.3%)
28.2%prior 39
Male42 (45.7%)
0.0%prior 42

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph zones increased from 12 in March 2024 to 14 in March 2025. Similarly, crashes in 40 mph zones also increased from 12 to 14 year-over-year. No fatal crashes were recorded in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: HANOVER, MA
  • Total crash records analyzed: 38
  • Total persons involved: 97
  • Total vehicles involved: 73

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). "HANOVER, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hanover/march-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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Hanover, MA Crash Report — March 2025 | ThatCarHitMe.com