Monthly Traffic Safety Analysis

23 CRASHES IN
WESTPORT, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

In March 2024, WESTPORT experienced 23 total crashes, an increase from the 15 crashes reported in March 2023. This represents a 53.3% rise in total crashes year-over-year. The most notable shift was the substantial increase in total injuries, which rose from 3 in the prior period to 10 in the current period.

23

53.3%was 15

Total Crash Events

0

Persons Killed

10

233.3%was 3

Persons Injured

0

Fatal Crash Events

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 · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for WESTPORT indicates a significant upward trend year-over-year, with total crashes increasing by 53.3% from 15 in March 2023 to 23 in March 2024. Concurrently, the number of total injuries rose sharply by 233.3%, from 3 to 10. Fatalities remained stable at zero in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 3233.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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. In March 2024, the peak day for crashes was Friday with 5 incidents, whereas in March 2023, Thursday was the peak day, also with 5 incidents. The peak crash hour also changed, moving from 5 AM with 3 crashes in the prior period to 7 AM with 3 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes reported in either March 2023 or March 2024. However, the number of crashes resulting in minor injuries (Severity B) increased from 2 to 5, and crashes with possible injuries (Severity C) rose from 1 to 3. Consequently, the proportion of crashes involving minor injuries increased from 13.3% to 21.7%, and possible injuries from 6.7% to 13%.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes21.7%
150.0%prior 2
Possible Injury3possible injury crashes13%
200.0%prior 1
No Injury15no injury crashes65.2%
50.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factors to crashes showed several changes year-over-year. Crashes attributed to 'No improper driving' increased by 1, from 6 in March 2023 to 7 in March 2024, though its share decreased from 40% to 30.4%. 'Inattention' also saw an increase of 1 crash, rising from 2 to 3 incidents. Notably, 'Exceeded authorized speed limit' emerged as a factor in March 2024 with 2 crashes, up from 0 in the prior period, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased by 1 crash, from 2 to 1.

Officer-Reported Primary Contributing Cause

No improper driving7 (30.4%)16.7%prior 6
Inattention3 (13%)
Exceeded authorized speed limit2 (8.7%)
Failure to keep in proper lane or running off road2 (8.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (8.7%)
Other improper action1 (4.3%)
Disregarded traffic signs, signals, road markings1 (4.3%)
Visibility obstructed1 (4.3%)
Driving too fast for conditions1 (4.3%)
Followed too closely1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 8 to 15, with the proportion of such crashes rising from 53.3% to 65.2%. Similarly, incidents during daylight hours nearly doubled from 7 to 16, increasing their share from 46.7% to 69.6%. While wet road crashes remained constant at 7, their proportion decreased from 46.7% to 30.4% as dry road crashes increased from 7 to 16.

Weather

Clear15 (65.2%)
87.5%prior 8
Cloudy/Rain2 (8.7%)
Sleet, hail (freezing rain or drizzle)2 (8.7%)
Clear/Cloudy1 (4.3%)
Rain1 (4.3%)
Rain/Fog, smog, smoke1 (4.3%)
Cloudy1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight16 (69.6%)
128.6%prior 7
Dark - roadway not lighted4 (17.4%)
Dark - lighted roadway1 (4.3%)
Dawn1 (4.3%)
Dusk1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry16 (69.6%)
128.6%prior 7
Wet7 (30.4%)
0.0%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (30 vehicles)

1
NISSAN5 (16.7%)
2
TOYOTA4 (13.3%)
3
HONDA4 (13.3%)
4
CHEVROLET3 (10%)
5
BMW3 (10%)
6
FORD2 (6.7%)
7
SUBARU2 (6.7%)
8
CADI1 (3.3%)
9
DODGE1 (3.3%)
10
HYUNDAI1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

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

Sex Distribution (34 persons with recorded sex)

Male23 (67.6%)
64.3%prior 14
Female11 (32.4%)
-8.3%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

Fatal crash rates remained at zero across all speed zones in both periods. Crashes in 30 MPH zones decreased from 7 to 3, and in 45 MPH zones from 5 to 4. Conversely, crashes in 40 MPH zones increased from 1 to 3. Notably, the current period saw 11 crashes occurring in speed zones of 50 MPH or higher, specifically 5 crashes in 50 MPH zones and 5 crashes in 65 MPH zones, categories not present in the prior period's data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: WESTPORT, MA
  • Total crash records analyzed: 23
  • Total persons involved: 36
  • Total vehicles involved: 30

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). "WESTPORT, MA Crash Intelligence Report: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westport/march-2024-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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Westport, MA Crash Report — March 2024 | ThatCarHitMe.com