Yearly Traffic Safety Analysis

762 CRASHES IN
WESTON, MA
2023

All metrics benchmarked against2022

In Weston, total traffic crashes increased from 742 in 2022 to 762 in 2023, a 2.7% rise. The most significant year-over-year change was the occurrence of one fatal crash in 2023, whereas there were none in the prior year. Total injuries also rose from 173 to 221, an increase of 27.7%.

762

2.7%was 742

Total Crash Events

1

Persons Killed

221

27.7%was 173

Persons Injured

29

31.8%was 22

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic crashes in Weston showed a slight upward trend in 2023. The total number of crashes rose by 20 incidents, from 742 to 762 (+2.7%). This increase was accompanied by a more substantial rise in the number of people injured, which climbed from 173 in 2022 to 221 in 2023.

29

Hit-and-Run Crashes — 2023

31.8% vs prior (22)

Hit-and-run incidents increased in 2023 compared to the prior year. The total count of hit-and-run crashes rose from 22 to 29. The hit-and-run rate, as a percentage of total crashes, also trended upward, increasing from 3.0% in 2022 to 3.8% in 2023.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

2

Pedestrians Injured

Prior: 1100.0%

4

Cyclists Injured

Prior: 1300.0%

215

Motorists Injured

Prior: 17125.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The timing of crashes shifted between the two periods. In 2023, the peak day for crashes was Monday with 126 incidents, a change from 2022 when Friday was the peak day with 141 crashes. The peak hour also shifted slightly earlier, from 5 p.m. (88 crashes) in 2022 to 4 p.m. (69 crashes) in 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity increased in 2023 compared to the previous year. The city recorded one fatal crash in 2023, after having none in 2022. The number of serious injury crashes more than doubled, rising from 6 to 13, and their share of all crashes increased from 0.8% to 1.7%. Similarly, minor injury crashes grew from 80 to 96.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
Serious Injury13serious injury crashes1.7%
116.7%prior 6
Minor Injury96minor injury crashes12.6%
20.0%prior 80
Possible Injury56possible injury crashes7.3%
3.7%prior 54
No Injury593no injury crashes77.8%
-0.7%prior 597

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

While "Followed too closely" remained the top contributing factor in both years, its count decreased from 236 in 2022 to 209 in 2023. In contrast, crashes attributed to "Driving too fast for conditions" increased in count from 67 to 83, and those involving "Failed to yield right of way" rose from 53 to 65. The count for crashes involving "Inattention" dropped from 78 to 59.

Officer-Reported Primary Contributing Cause

Followed too closely209 (27.4%)-11.4%prior 236
No improper driving111 (14.6%)-4.3%prior 116
Driving too fast for conditions83 (10.9%)23.9%prior 67
Failed to yield right of way65 (8.5%)22.6%prior 53
Inattention59 (7.7%)-24.4%prior 78
Failure to keep in proper lane or running off road56 (7.3%)43.6%prior 39
Distracted20 (2.6%)33.3%prior 15
Exceeded authorized speed limit18 (2.4%)100.0%prior 9
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner18 (2.4%)100.0%prior 9
Other improper action17 (2.2%)54.5%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

There was a notable shift in crash conditions year-over-year. Crashes occurring in rain increased from 49 in 2022 to 120 in 2023. Correspondingly, collisions on wet road surfaces rose from 130 to 220. Crashes during daylight hours remained relatively stable, accounting for 541 incidents in 2022 and 545 in 2023.

Weather

Clear407 (54.0%)
-12.5%prior 465
Rain120 (15.9%)
144.9%prior 49
Cloudy106 (14.1%)
11.6%prior 95
Cloudy/Rain46 (6.1%)
58.6%prior 29
Clear/Cloudy34 (4.5%)
-26.1%prior 46
Snow17 (2.3%)
-32.0%prior 25
Snow/Sleet, hail (freezing rain or drizzle)7 (0.9%)
Sleet, hail (freezing rain or drizzle)3 (0.4%)
-40.0%prior 5
Rain/Severe crosswinds3 (0.4%)
Rain/Snow2 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight545 (71.6%)
0.7%prior 541
Dark - lighted roadway101 (13.3%)
16.1%prior 87
Dark - roadway not lighted69 (9.1%)
-6.8%prior 74
Dusk26 (3.4%)
23.8%prior 21
Dawn17 (2.2%)
70.0%prior 10
Dark - unknown roadway lighting3 (0.4%)
-66.7%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry515 (67.7%)
-7.0%prior 554
Wet220 (28.9%)
69.2%prior 130
Snow20 (2.6%)
-44.4%prior 36
Ice5 (0.7%)
-70.6%prior 17
Slush1 (0.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The top three vehicle makes involved in crashes remained Toyota, Honda, and Ford in both years, with their relative ranking unchanged. The number of Fords involved in crashes saw a notable increase from 118 in 2022 to 147 in 2023. Analysis of person age groups shows a stable distribution, with the 26-34 age group being the largest in both periods, increasing slightly from 327 individuals in 2022 to 348 in 2023.

Top Vehicle Makes (1,420 vehicles)

1
TOYOTA252 (17.7%)
5.9%prior 238
2
HONDA166 (11.7%)
-3.5%prior 172
3
FORD147 (10.4%)
24.6%prior 118
4
CHEVROLET78 (5.5%)
-13.3%prior 90
5
JEEP73 (5.1%)
78.0%prior 41
6
NISSAN70 (4.9%)
-6.7%prior 75
7
SUBARU64 (4.5%)
-30.4%prior 92
8
BMW45 (3.2%)
-8.2%prior 49
9
HYUNDAI42 (3%)
13.5%prior 37
10
MAZDA34 (2.4%)
36.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (1,643 persons with recorded sex)

Male980 (59.6%)
4.1%prior 941
Female663 (40.4%)
3.1%prior 643

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crash distribution across speed zones saw some changes in 2023. The number of crashes in 35 mph zones increased from 188 to 231, and this zone was where the year's single fatal crash occurred. Crashes in 65 mph zones also rose from 106 to 148. Conversely, incidents in 55 mph zones decreased from 154 to 138.

Fatal crashes by zone: 35 mph: 1 of 231 (0.433%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: WESTON, MA
  • Total crash records analyzed: 762
  • Total persons involved: 1,737
  • Total vehicles involved: 1,420

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). "WESTON, MA Crash Intelligence Report: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/2023-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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Weston, MA Crash Report — 2023 | ThatCarHitMe.com