Monthly Traffic Safety Analysis

8 CRASHES IN
CLINTON, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, CLINTON, MA experienced 8 crashes, a 20% decrease from the 10 crashes reported in May 2024. Despite fewer crashes, total injuries increased by 66.7%, rising from 3 to 5. A notable shift occurred in traffic control, with crashes at stop signs becoming the most frequent in the current period.

8

-20.0%was 10

Total Crash Events

0

Persons Killed

5

66.7%was 3

Persons Injured

0

Fatal Crash Events

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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in CLINTON, MA decreased by 20%, from 10 crashes in May 2024 to 8 crashes in May 2025. Conversely, the total number of injuries increased by 66.7%, rising from 3 to 5 over the same period, while fatalities remained at zero.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

4

Motorists Injured

Prior: 333.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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 slightly, with May 2025 seeing crashes peaking on both Monday and Friday with 2 crashes each, whereas May 2024's peak was Friday with 3 crashes. The peak hour for crashes in May 2025 was 4 p.m. with 3 crashes, a shift from May 2024 which saw multiple hours, including 5 p.m., with 2 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both May 2024 and May 2025. However, total injuries increased by 66.7%, from 3 injuries in May 2024 to 5 injuries in May 2025. The proportion of crashes resulting in no injury decreased from 70% (7 crashes) in May 2024 to 37.5% (3 crashes) in May 2025, while crashes with possible injuries increased from 1 (10% share) to 2 (25% share).

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes25%
0.0%prior 2
Possible Injury2possible injury crashes25%
100.0%prior 1
No Injury3no injury crashes37.5%
-57.1%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' remained stable at 3 in both periods. 'Failure to keep in proper lane or running off road' decreased from 2 crashes in May 2024 to 0 crashes in May 2025, while 'Exceeded authorized speed limit' also dropped from 1 crash to 0. In May 2025, 'Failed to yield right of way' and 'Inattention' each emerged as factors, each contributing to 1 crash.

Officer-Reported Primary Contributing Cause

No improper driving3 (37.5%)
Disregarded traffic signs, signals, road markings1 (12.5%)
Distracted1 (12.5%)
Failed to yield right of way1 (12.5%)
Inattention1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Clear/Clear' weather decreased from 9 in May 2024 to 7 in May 2025, while 'Wet' road surface conditions remained constant at 1 crash in both periods. The 'lighting' conditions data for May 2025 is not available for comparison.

Weather

Clear/Clear7 (87.5%)
-22.2%prior 9
Cloudy/Cloudy1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Road Surface

Dry7 (87.5%)
-22.2%prior 9
Wet1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
CHEVROLET4 (26.7%)
2
TOYOTA3 (20%)
3
FORD2 (13.3%)
-60.0%prior 5
4
GMC1 (6.7%)
5
HONDA1 (6.7%)
6
HYUNDAI1 (6.7%)
7
KIA1 (6.7%)
8
NISSAN1 (6.7%)
9
CHRYSLER1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (18 persons with recorded sex)

Female11 (61.1%)
22.2%prior 9
Male7 (38.9%)
-50.0%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

All crashes in both May 2024 and May 2025 occurred within the 30 MPH speed limit zone. The total number of crashes in this zone decreased from 10 in May 2024 to 8 in May 2025. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: CLINTON, MA
  • Total crash records analyzed: 8
  • Total persons involved: 19
  • Total vehicles involved: 15

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). "CLINTON, MA Crash Intelligence Report: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/clinton/may-2025-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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Clinton, MA Crash Report — May 2025 | ThatCarHitMe.com