Monthly Traffic Safety Analysis

38 CRASHES IN
WESTWOOD, MA
JUNE 2024

All metrics benchmarked againstJune 2023

Total crashes decreased slightly from 39 in June 2023 to 38 in June 2024, representing a 2.6% reduction. Despite this, total injuries rose by 50%, from 8 injuries in June 2023 to 12 injuries in June 2024, marking a notable shift in crash outcomes.

38

-2.6%was 39

Total Crash Events

0

Persons Killed

12

50.0%was 8

Persons Injured

3

50.0%was 2

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the total number of crashes in Westwood decreased slightly year-over-year, from 39 crashes in June 2023 to 38 crashes in June 2024, a 2.6% reduction. However, total injuries increased by 50%, from 8 injuries in June 2023 to 12 injuries in June 2024.

3

Hit-and-Run Crashes — June 2024

50.0% vs prior (2)

The number of hit-and-run crashes increased from 2 in June 2023 to 3 in June 2024. This change resulted in the hit-and-run rate rising from 5.1% to 7.9% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

12

Motorists Injured

Prior: 850.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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 Thursday and Friday (9 crashes each) in June 2023 to Tuesday (7 crashes) in June 2024. The peak crash hour also changed, moving from 4 p.m. (6 crashes) in June 2023 to 3 p.m. and 6 p.m. (5 crashes each) in June 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both June 2023 and June 2024. Crashes resulting in minor injuries increased from 2 in June 2023 to 6 in June 2024, while crashes with possible injuries rose from 3 to 4. A serious injury crash was reported in June 2023 but not in June 2024.

Outcome by Severity (Crash Events)

Minor Injury6minor injury crashes15.8%
200.0%prior 2
Possible Injury4possible injury crashes10.5%
33.3%prior 3
No Injury27no injury crashes71.1%
-18.2%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

“Followed too closely” remained the leading contributing factor, with its count increasing from 12 crashes in June 2023 to 16 crashes in June 2024. “Inattention” crashes decreased significantly from 10 to 3, while “Failure to keep in proper lane or running off road” crashes increased from 0 to 4. The count of “No improper driving” crashes decreased from 5 to 1.

Officer-Reported Primary Contributing Cause

Followed too closely16 (42.1%)33.3%prior 12
Failure to keep in proper lane or running off road4 (10.5%)
Other improper action3 (7.9%)
Inattention3 (7.9%)-70.0%prior 10
Made an improper turn2 (5.3%)
Physical impairment2 (5.3%)
Disregarded traffic signs, signals, road markings1 (2.6%)
Over-correcting/over-steering1 (2.6%)
Failed to yield right of way1 (2.6%)
No improper driving1 (2.6%)-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes on “Dry” road surfaces decreased from 36 in June 2023 to 32 in June 2024, while crashes on “Wet” road surfaces increased from 2 to 6. Crashes in “Clear/Clear” weather decreased from 21 to 18, and “Rain” conditions, not listed in the prior period’s top conditions, accounted for 4 crashes in the current period.

Weather

Clear/Clear18 (47.4%)
-14.3%prior 21
Clear14 (36.8%)
16.7%prior 12
Rain4 (10.5%)
Cloudy/Cloudy1 (2.6%)
Rain/Rain1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight34 (89.5%)
-2.9%prior 35
Dark - lighted roadway2 (5.3%)
Dark - roadway not lighted1 (2.6%)
Dusk1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry32 (84.2%)
-11.1%prior 36
Wet6 (15.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

TOYOTA remained the most frequently involved vehicle make with 11 vehicles in both periods. The number of FORD vehicles involved decreased from 10 to 6, while SUBARU vehicles increased from 5 to 7. The 55-64 age group saw a decrease in persons involved from 17 to 11, and the number of females involved increased from 45 to 49.

Top Vehicle Makes (73 vehicles)

1
TOYOTA11 (15.1%)
0.0%prior 11
2
HONDA8 (11%)
14.3%prior 7
3
SUBARU7 (9.6%)
40.0%prior 5
4
FORD6 (8.2%)
-40.0%prior 10
5
VOLKSWAGEN5 (6.8%)
6
JEEP3 (4.1%)
-50.0%prior 6
7
LEXUS3 (4.1%)
8
AUDI3 (4.1%)
9
CHEVROLET3 (4.1%)
-57.1%prior 7
10
NISSAN3 (4.1%)
-50.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (87 persons with recorded sex)

Female49 (56.3%)
8.9%prior 45
Male38 (43.7%)
-11.6%prior 43

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in Speed Limit 30 zones decreased from 17 in June 2023 to 13 in June 2024. Conversely, crashes in Speed Limit 1 zones saw a notable increase from 1 to 8. Crashes in Speed Limit 55 zones also increased from 7 to 9.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: WESTWOOD, MA
  • Total crash records analyzed: 38
  • Total persons involved: 91
  • Total vehicles involved: 73

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). "WESTWOOD, MA Crash Intelligence Report: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westwood/june-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

ThatCarHitMe.com · An Injuria.ai Company

Westwood, MA Crash Report — June 2024 | ThatCarHitMe.com