Monthly Traffic Safety Analysis

39 CRASHES IN
WESTON, MA
JULY 2022

All metrics benchmarked againstJuly 2021

Total crashes in Weston decreased from 67 in July 2021 to 39 in July 2022, marking a 41.8% reduction. This notable decrease was accompanied by a significant drop in crashes attributed to "Driving too fast for conditions" and a shift in the primary contributing factor. Injuries also saw a substantial decline year-over-year.

39

-41.8%was 67

Total Crash Events

0

Persons Killed

10

-61.5%was 26

Persons Injured

2

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 · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Weston saw a substantial decrease year-over-year. The total number of crashes fell by 28, from 67 in July 2021 to 39 in July 2022, representing a 41.8% decline. This indicates a positive trend in crash reduction for the period.

2

Hit-and-Run Crashes — July 2022

100.0% vs prior (1)

Hit-and-run crashes increased from 1 incident in July 2021 to 2 incidents in July 2022. Consequently, the hit-and-run rate rose from 1.5% of all crashes in July 2021 to 5.1% in July 2022. This indicates an upward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 25-60.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In July 2021, the peak day for crashes was Friday with 23 incidents, and the peak hour was 6 p.m. with 7 incidents. In contrast, July 2022 saw Wednesday as the peak day with 9 crashes, and 4 p.m. as the peak hour with 8 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While there were no fatal crashes in either period, total injuries decreased from 26 in July 2021 to 10 in July 2022. The proportion of crashes resulting in minor injuries (Severity B) decreased from 17.9% to 5.1%, and possible injuries (Severity C) decreased from 13.4% to 10.3%. Conversely, the share of no-injury crashes (Severity O) increased from 68.7% to 82.1%.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.6%
Minor Injury2minor injury crashes5.1%
-83.3%prior 12
Possible Injury4possible injury crashes10.3%
-55.6%prior 9
No Injury32no injury crashes82.1%
-30.4%prior 46

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor "Driving too fast for conditions" saw a significant decrease from 17 crashes in July 2021 to 1 crash in July 2022. "Followed too closely" also decreased from 17 crashes to 11 crashes, becoming the most frequent factor in July 2022. "Inattention" increased from 6 crashes to 9 crashes, while "Failed to yield right of way" decreased from 6 crashes to 2 crashes.

Officer-Reported Primary Contributing Cause

Followed too closely11 (28.2%)-35.3%prior 17
Inattention9 (23.1%)50.0%prior 6
No improper driving4 (10.3%)
Failure to keep in proper lane or running off road4 (10.3%)-20.0%prior 5
Disregarded traffic signs, signals, road markings2 (5.1%)
Failed to yield right of way2 (5.1%)-66.7%prior 6
Fatigued/asleep1 (2.6%)
Driving too fast for conditions1 (2.6%)-94.1%prior 17
Other improper action1 (2.6%)
Physical impairment1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on "Wet" road surfaces saw a substantial decrease, falling from 31 incidents in July 2021 to 3 in July 2022. Crashes during "Daylight" conditions also decreased from 55 to 36. The number of crashes during "Rain" weather decreased from 9 to 1.

Weather

Clear31 (79.5%)
6.9%prior 29
Cloudy4 (10.3%)
-55.6%prior 9
Clear/Cloudy3 (7.7%)
Rain1 (2.6%)
-88.9%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

Daylight36 (92.3%)
-34.5%prior 55
Dark - roadway not lighted3 (7.7%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Road Surface

Dry36 (92.3%)
2.9%prior 35
Wet3 (7.7%)
-90.3%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 124 in July 2021 to 78 in July 2022. Toyota remained the most frequent vehicle make involved, though its count dropped from 30 to 10. The peak age group for persons involved shifted from 26-34 years old (29 persons) in July 2021 to 35-44 years old (15 persons) in July 2022.

Top Vehicle Makes (78 vehicles)

1
TOYOTA10 (12.8%)
-66.7%prior 30
2
FORD8 (10.3%)
14.3%prior 7
3
HONDA7 (9%)
-53.3%prior 15
4
CHEVROLET6 (7.7%)
-40.0%prior 10
5
VOLVO5 (6.4%)
6
MERCEDES-BENZ4 (5.1%)
-42.9%prior 7
7
SUBARU4 (5.1%)
8
BMW3 (3.8%)
9
HYUNDAI3 (3.8%)
10
KIA2 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

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

Sex Distribution (82 persons with recorded sex)

Male52 (63.4%)
-40.9%prior 88
Female30 (36.6%)
-59.5%prior 74

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones decreased from 17 incidents in July 2021 to 7 in July 2022, and those in 65 mph zones decreased from 14 to 3. Crashes in 55 mph zones also saw a reduction from 13 to 7. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: WESTON, MA
  • Total crash records analyzed: 39
  • Total persons involved: 86
  • Total vehicles involved: 78

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: July 2022." Published June 21, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weston/july-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

ThatCarHitMe.com · An Injuria.ai Company

Weston, MA Crash Report — July 2022 | ThatCarHitMe.com