Monthly Traffic Safety Analysis

32 CRASHES IN
WESTPORT, MA
MAY 2022

All metrics benchmarked againstMay 2021

Total crashes in Westport decreased by 21.95% from 41 in May 2021 to 32 in May 2022. The most significant year-over-year shift was the increase in total fatalities, rising from 0 in May 2021 to 1 in May 2022.

32

-22.0%was 41

Total Crash Events

1

Persons Killed

9

-64.0%was 25

Persons Injured

1

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Westport saw a decline in May 2022 compared to the previous year. Total crashes decreased by 21.95%, from 41 to 32, and total injuries fell from 25 to 9. However, a fatal crash occurred in May 2022, whereas no fatalities were recorded in May 2021.

1

Hit-and-Run Crashes — May 2022

3.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

9

Motorists Injured

Prior: 25-64.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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 Monday in May 2021 (12 crashes) to Sunday in May 2022 (11 crashes). While both periods recorded a peak of 5 crashes in a single hour, the peak hour shifted from 4 PM in May 2021 to 2 PM in May 2022. Crashes on Wednesday decreased from 3 to 0.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

May 2022 recorded 1 fatal crash and 1 fatality, compared to no fatal crashes or fatalities in May 2021. Total injuries decreased significantly by 64% from 25 in May 2021 to 9 in May 2022. Serious injuries (A) decreased from 3 to 1, and possible injuries (C) decreased from 5 to 1, while minor injuries (B) remained stable at 4.

Outcome by Severity (Crash Events)

Fatal1fatal crashes3.1%
Serious Injury1serious injury crashes3.1%
-66.7%prior 3
Minor Injury4minor injury crashes12.5%
0.0%prior 4
Possible Injury1possible injury crashes3.1%
-80.0%prior 5
No Injury25no injury crashes78.1%
-10.7%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record

Top Contributing Factors

No improper driving remained the most frequent contributing factor, decreasing from 15 crashes in May 2021 to 12 in May 2022. Factors such as driving too fast for conditions decreased notably from 4 crashes to 1, and operating vehicle in an erratic, reckless, careless, negligent or aggressive manner decreased from 3 crashes to 2. Conversely, inattention increased slightly from 4 crashes to 5, and failed to yield right of way increased from 2 crashes to 3.

Officer-Reported Primary Contributing Cause

No improper driving12 (37.5%)-20.0%prior 15
Inattention5 (15.6%)
Failed to yield right of way3 (9.4%)
Failure to keep in proper lane or running off road2 (6.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.3%)
Visibility obstructed2 (6.3%)
Driving too fast for conditions1 (3.1%)
Over-correcting/over-steering1 (3.1%)
Illness1 (3.1%)
Exceeded authorized speed limit1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Fewer crashes occurred in adverse weather conditions in May 2022 compared to May 2021. Crashes in rainy conditions decreased from 7 to 3, and in cloudy conditions from 6 to 1. Similarly, crashes on wet road surfaces decreased from 10 to 3, while crashes on dry surfaces decreased slightly from 30 to 28.

Weather

Clear22 (73.3%)
10.0%prior 20
Clear/Unknown3 (10.0%)
Rain3 (10.0%)
-57.1%prior 7
Cloudy1 (3.3%)
-83.3%prior 6
Clear/Other1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash

Lighting

Daylight26 (81.3%)
-7.1%prior 28
Dark - roadway not lighted6 (18.8%)
-25.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field

Road Surface

Dry28 (90.3%)
-6.7%prior 30
Wet3 (9.7%)
-70.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 63 in May 2021 to 52 in May 2022. There was a notable decrease in persons involved from younger age groups, with those aged 0-15 decreasing from 6 to 1 and 16-20 from 10 to 4. Conversely, the 55-64 age group saw an increase in involved persons from 8 to 16.

Top Vehicle Makes (52 vehicles)

1
FORD8 (15.4%)
-11.1%prior 9
2
BMW4 (7.7%)
3
NISSAN4 (7.7%)
4
TOYOTA4 (7.7%)
-50.0%prior 8
5
CHEVROLET4 (7.7%)
-50.0%prior 8
6
GMC3 (5.8%)
7
HONDA3 (5.8%)
-40.0%prior 5
8
AUDI2 (3.8%)
9
JEEP2 (3.8%)
10
HD2 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records

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

Sex Distribution (54 persons with recorded sex)

Female27 (50.0%)
-10.0%prior 30
Male27 (50.0%)
-47.1%prior 51

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones increased from 7 in May 2021 to 12 in May 2022, and this zone recorded the only fatal crash in the current period. Conversely, crashes in 65 mph zones decreased from 9 to 7, and crashes in 35 mph, 40 mph, 45 mph, 50 mph, and 55 mph zones also saw decreases.

Fatal crashes by zone: 30 mph: 1 of 12 (8.333%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-05-01 through 2022-05-31 (31 days)
  • Geographic scope: WESTPORT, MA
  • Total crash records analyzed: 32
  • Total persons involved: 59
  • Total vehicles involved: 52

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: May 2022." Published June 21, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westport/may-2022-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 — May 2022 | ThatCarHitMe.com