Yearly Traffic Safety Analysis

379 CRASHES IN
WESTPORT, MA
2022

All metrics benchmarked against2021

In 2022, Westport recorded 379 total traffic crashes, a 3.3% decrease from the 392 crashes reported in 2021. Despite the overall reduction in crashes, the most significant year-over-year change was the occurrence of two fatal crashes resulting in two fatalities in 2022, whereas no fatalities were recorded in the prior year.

379

-3.3%was 392

Total Crash Events

2

Persons Killed

119

-1.7%was 121

Persons Injured

5

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 10 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crashes in Westport saw a slight downward trend, decreasing by 3.3% from 392 incidents in 2021 to 379 in 2022. The total number of injuries remained relatively stable, with a minor decrease from 121 in 2021 to 119 in 2022. However, this period saw the emergence of two fatalities, a category that had zero incidents in the prior year.

5

Hit-and-Run Crashes — 2022

1.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

2

Motorists Killed

Prior: 0%

1

Cyclists Injured

Prior: 0%

118

Motorists Injured

Prior: 121-2.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed some shifts between 2021 and 2022. The peak day for crashes moved from Monday (70 crashes) in 2021 to Friday (71 crashes) in 2022. The peak hour for collisions remained consistent at 4 PM in both years, though the number of crashes during this hour increased from 34 to 38. Crashes on Mondays and Tuesdays saw a decrease, while Wednesday and Friday experienced an increase in incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity saw a significant shift in 2022. While 2021 recorded no fatal crashes, 2022 saw two fatal incidents, accounting for 0.5% of all crashes. The proportion of crashes resulting in serious or minor injuries decreased, with serious injury crashes falling from a 4.1% share to 3.4% and minor injury crashes from 13.8% to 12.9%. Conversely, the share of non-injury crashes increased from 70.9% in 2021 to 74.4% in 2022.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.5%
Serious Injury13serious injury crashes3.4%
-18.8%prior 16
Minor Injury49minor injury crashes12.9%
-9.3%prior 54
Possible Injury23possible injury crashes6.1%
15.0%prior 20
No Injury282no injury crashes74.4%
1.4%prior 278

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors remained similar year-over-year, with 'Inattention' being the top cited driver action after 'No improper driving'. The count for crashes attributed to 'Inattention' decreased from 57 in 2021 to 51 in 2022. Notably, crashes involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' fell by nearly half, from 27 incidents to 14. In contrast, crashes citing 'Distracted' as a factor more than doubled in count, increasing from 5 in 2021 to 11 in 2022.

Officer-Reported Primary Contributing Cause

No improper driving137 (36.1%)7.9%prior 127
Inattention51 (13.5%)-10.5%prior 57
Failed to yield right of way26 (6.9%)4.0%prior 25
Failure to keep in proper lane or running off road16 (4.2%)-15.8%prior 19
Driving too fast for conditions15 (4%)7.1%prior 14
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner14 (3.7%)-48.1%prior 27
Followed too closely14 (3.7%)-39.1%prior 23
Distracted11 (2.9%)120.0%prior 5
Other improper action11 (2.9%)-31.3%prior 16
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway9 (2.4%)28.6%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions remained broadly consistent between the two years, with the majority of incidents occurring in clear weather on dry roads during daylight hours. In 2022, 81.3% of crashes happened on dry surfaces, up slightly from a 79.6% share in 2021. Crashes during daylight hours accounted for 62.3% of the total in 2022, nearly identical to the 61.2% in 2021. There was a small decrease in the count of crashes on wet, snowy, or icy roads, from a combined 75 incidents in 2021 to 64 in 2022.

Weather

Clear250 (67.4%)
5.0%prior 238
Cloudy28 (7.5%)
-20.0%prior 35
Rain21 (5.7%)
16.7%prior 18
Clear/Unknown17 (4.6%)
30.8%prior 13
Clear/Cloudy12 (3.2%)
-36.8%prior 19
Clear/Other11 (3.0%)
-42.1%prior 19
Snow9 (2.4%)
-35.7%prior 14
Cloudy/Rain4 (1.1%)
-33.3%prior 6
Sleet, hail (freezing rain or drizzle)4 (1.1%)
Rain/Severe crosswinds3 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight236 (62.6%)
-1.7%prior 240
Dark - roadway not lighted89 (23.6%)
-8.2%prior 97
Dark - lighted roadway34 (9.0%)
13.3%prior 30
Dawn6 (1.6%)
-33.3%prior 9
Dark - unknown roadway lighting6 (1.6%)
Dusk6 (1.6%)
-50.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry308 (81.9%)
-1.3%prior 312
Wet45 (12.0%)
-6.3%prior 48
Snow11 (2.9%)
-26.7%prior 15
Ice8 (2.1%)
-11.1%prior 9
Slush4 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The vehicle and demographic data shows some notable changes year-over-year. While Toyota remained the most common vehicle make involved in crashes in both periods, the number of Fords involved dropped significantly from 80 in 2021 to 43 in 2022, causing it to fall from second to fourth place in the rankings. The top three age groups of people involved in crashes (65+, 26-34, and 35-44) remained the same, but all saw a reduction in count from the prior year. The 65+ age group, while still the most represented, saw its involvement decrease from 126 individuals to 105.

Top Vehicle Makes (572 vehicles)

1
TOYOTA87 (15.2%)
-6.5%prior 93
2
HONDA55 (9.6%)
7.8%prior 51
3
CHEVROLET54 (9.4%)
5.9%prior 51
4
FORD43 (7.5%)
-46.3%prior 80
5
NISSAN38 (6.6%)
-2.6%prior 39
6
JEEP25 (4.4%)
0.0%prior 25
7
HYUNDAI23 (4%)
-23.3%prior 30
8
KIA20 (3.5%)
66.7%prior 12
9
SUBARU18 (3.1%)
-10.0%prior 20
10
VOLVO18 (3.1%)
157.1%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (649 persons with recorded sex)

Male361 (55.6%)
-10.9%prior 405
Female288 (44.4%)
-9.7%prior 319

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

Analysis of crashes by posted speed limit shows a notable increase in incidents within 30 mph zones, which rose from 76 crashes in 2021 to 91 in 2022. The number of crashes in 65 mph zones remained constant at 55 for both years. Significantly, the two fatal crashes recorded in 2022 occurred in different speed environments: one in a 30 mph zone and the other in a 65 mph zone, whereas no fatal crashes were recorded in any speed zone in 2021.

Fatal crashes by zone: 30 mph: 1 of 91 (1.099%) · 65 mph: 1 of 55 (1.818%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: WESTPORT, MA
  • Total crash records analyzed: 379
  • Total persons involved: 698
  • Total vehicles involved: 572

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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westport/2022-annual-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 — 2022 | ThatCarHitMe.com