Monthly Traffic Safety Analysis

39 CRASHES IN
WAREHAM, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

In March 2026, Wareham experienced 39 total crashes, an increase from 36 crashes in March 2025, representing an 8.33% rise. The most notable year-over-year shift was the absence of traffic fatalities in March 2026, compared to one fatality recorded in March 2025.

39

8.3%was 36

Total Crash Events

0

-100.0%was 1

Persons Killed

19

26.7%was 15

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 · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in crash activity, with total crashes rising by 8.33% from 36 to 39. Total injuries also increased by 26.67%, from 15 to 19. However, fatal crashes decreased from one in the prior period to zero in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

19

Motorists Injured

Prior: 1526.7%

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 peak day for crashes shifted from Friday with 9 crashes in March 2025 to Tuesday with 15 crashes in March 2026. The peak hour remained 3 PM for both periods, increasing from 4 crashes in March 2025 to 6 crashes in March 2026.

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

Fatal crashes decreased from 1 in March 2025 to 0 in March 2026. The number of minor injury crashes increased from 7 to 8, while serious injury crashes remained at 2 for both periods. The proportion of crashes resulting in no injury increased slightly from 63.9% to 66.7% year-over-year.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes5.1%
0.0%prior 2
Minor Injury8minor injury crashes20.5%
14.3%prior 7
Possible Injury3possible injury crashes7.7%
0.0%prior 3
No Injury26no injury crashes66.7%
13.0%prior 23

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 count of crashes attributed to 'No improper driving' decreased significantly from 13 in March 2025 to 6 in March 2026. Conversely, crashes due to 'Driving too fast for conditions' increased from 0 to 3, and 'Followed too closely' increased from 1 to 3. 'Inattention' also saw a slight increase from 4 to 5 crashes.

Officer-Reported Primary Contributing Cause

No improper driving6 (15.4%)-53.8%prior 13
Inattention5 (12.8%)
Driving too fast for conditions3 (7.7%)
Followed too closely3 (7.7%)
Distracted3 (7.7%)
Disregarded traffic signs, signals, road markings3 (7.7%)
Fatigued/asleep2 (5.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5.1%)
Other improper action2 (5.1%)
Operating defective equipment1 (2.6%)

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 'Clear' weather conditions decreased from 25 in March 2025 to 20 in March 2026, while 'Rain' conditions also saw a decrease from 6 to 3 crashes. The number of crashes in 'Dark - lighted roadway' conditions doubled from 3 to 6. Crashes on 'Ice' road surfaces appeared in March 2026 with 2 incidents, where none were recorded in March 2025.

Weather

Clear20 (51.3%)
-20.0%prior 25
Clear/Unknown5 (12.8%)
Clear/Clear3 (7.7%)
Rain3 (7.7%)
-50.0%prior 6
Clear/Cloudy2 (5.1%)
Rain/Rain2 (5.1%)
Rain/Cloudy2 (5.1%)
Rain/Severe crosswinds1 (2.6%)
Fog, smog, smoke1 (2.6%)

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

Lighting

Daylight28 (71.8%)
-3.4%prior 29
Dark - lighted roadway6 (15.4%)
Dark - roadway not lighted4 (10.3%)
Dark - unknown roadway lighting1 (2.6%)

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

Road Surface

Dry30 (76.9%)
0.0%prior 30
Wet6 (15.4%)
0.0%prior 6
Ice2 (5.1%)
Sand, mud, dirt, oil, gravel1 (2.6%)

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

Vehicles & Demographics

The number of persons aged 0-15 involved in crashes increased from 2 to 5, and those aged 16-20 increased from 3 to 7. Conversely, persons aged 21-25 decreased from 9 to 6. Honda vehicles saw a notable increase in involvement from 4 to 10, while Toyota involvement decreased from 10 to 7.

Top Vehicle Makes (70 vehicles)

1
HONDA10 (14.3%)
2
FORD7 (10%)
0.0%prior 7
3
TOYOTA7 (10%)
-30.0%prior 10
4
NISSAN7 (10%)
5
CHEVROLET7 (10%)
16.7%prior 6
6
VOLKSWAGEN3 (4.3%)
7
GMC3 (4.3%)
8
HYUNDAI3 (4.3%)
9
JEEP3 (4.3%)
-40.0%prior 5
10
KIA3 (4.3%)

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

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

Sex Distribution (77 persons with recorded sex)

Male40 (51.9%)
-9.1%prior 44
Female37 (48.1%)
60.9%prior 23

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 35 mph speed zone saw a significant increase from 9 in March 2025 to 17 in March 2026. Conversely, crashes in the 40 mph zone decreased from 6 to 0. There were no fatal crashes in any speed zone in March 2026, compared to one fatal crash in the 45 mph zone in March 2025.

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: WAREHAM, MA
  • Total crash records analyzed: 39
  • Total persons involved: 84
  • Total vehicles involved: 70

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). "WAREHAM, 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/wareham/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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Wareham, MA Crash Report — March 2026 | ThatCarHitMe.com