Monthly Traffic Safety Analysis

25 CRASHES IN
PLAINVILLE, MA
JUNE 2025

All metrics benchmarked againstJune 2024

June 2025 saw 25 crashes, an increase from 21 crashes in June 2024, representing a 19.05% rise. The most notable shift was in single vehicle crashes, which increased from 1 in the prior period to 8 in the current period.

25

19.0%was 21

Total Crash Events

0

Persons Killed

12

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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in PLAINVILLE increased by 19.05% year-over-year, rising from 21 crashes in June 2024 to 25 crashes in June 2025. This indicates an upward trend in crash incidents for the specified month.

2

Hit-and-Run Crashes — June 2025

100.0% vs prior (1)

Hit-and-run crashes increased by 100%, rising from 1 incident in June 2024 to 2 incidents in June 2025. The hit-and-run rate also increased from 4.8% to 8% year-over-year, indicating an upward trend in these types of incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

11

Motorists Injured

Prior: 110.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 Saturday in June 2024 (4 crashes) to Friday in June 2025 (6 crashes). While 3 PM remained the peak hour for both periods, the number of crashes at this hour decreased from 7 in June 2024 to 5 in June 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both June 2024 and June 2025 reported no fatal crashes and 12 total injuries. The proportion of minor injury crashes slightly increased from 19% (4 crashes) in June 2024 to 20% (5 crashes) in June 2025, while possible injury crashes increased from 23.8% (5 crashes) to 24% (6 crashes). The share of no-injury crashes remained relatively stable, decreasing slightly from 57.1% (12 crashes) to 56% (14 crashes).

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes20%
25.0%prior 4
Possible Injury6possible injury crashes24%
20.0%prior 5
No Injury14no injury crashes56%
16.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to "Failed to yield right of way" decreased by 25%, from 8 in June 2024 to 6 in June 2025. Conversely, "No improper driving" crashes increased by 200%, rising from 1 to 3 incidents. "Followed too closely" crashes decreased by 66.7%, from 3 to 1, while "Disregarded traffic signs, signals, road markings" emerged as a top factor in June 2025 with 3 crashes, not being listed among the top factors in June 2024.

Officer-Reported Primary Contributing Cause

Failed to yield right of way6 (24%)-25.0%prior 8
No improper driving3 (12%)
Disregarded traffic signs, signals, road markings3 (12%)
Inattention2 (8%)
Visibility obstructed2 (8%)
Followed too closely1 (4%)
History heart/epilepsy/fainting1 (4%)
Driving too fast for conditions1 (4%)
Distracted1 (4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In June 2025, 22 crashes occurred in clear or cloudy weather conditions, compared to 19 crashes in similar conditions in June 2024. Notably, 1 crash in June 2025 occurred during rain, a condition not listed among the top weather conditions in June 2024. The lighting and road surface conditions sections for June 2024 are empty, preventing a year-over-year comparison for these categories.

Weather

Clear17 (77.3%)
41.7%prior 12
Clear/Clear3 (13.6%)
-40.0%prior 5
Cloudy1 (4.5%)
Rain1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight20 (80.0%)
Dark - lighted roadway3 (12.0%)
Dark - roadway not lighted2 (8.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry20 (95.2%)
Wet1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (44 vehicles)

1
TOYOTA11 (25%)
120.0%prior 5
2
JEEP6 (13.6%)
3
SUBARU5 (11.4%)
4
HONDA4 (9.1%)
-20.0%prior 5
5
KIA3 (6.8%)
-50.0%prior 6
6
CHEVROLET2 (4.5%)
-60.0%prior 5
7
HYUNDAI1 (2.3%)
8
KAWK1 (2.3%)
9
KENWORTH1 (2.3%)
10
LEXUS1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (51 persons with recorded sex)

Female27 (52.9%)
-12.9%prior 31
Male24 (47.1%)
-4.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

The number of crashes with recorded speed limits decreased from 13 in June 2024 to 11 in June 2025. Crashes in 30 mph zones increased by 200% from 1 to 3, and in 35 mph zones by 100% from 1 to 2. Conversely, crashes in 65 mph zones decreased by 75%, from 4 to 1. There were no fatal crashes reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: PLAINVILLE, MA
  • Total crash records analyzed: 25
  • Total persons involved: 52
  • Total vehicles involved: 44

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). "PLAINVILLE, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/plainville/june-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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Plainville, MA Crash Report — June 2025 | ThatCarHitMe.com