Monthly Traffic Safety Analysis

20 CRASHES IN
PLAINVILLE, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, PLAINVILLE, MA experienced 20 total crashes, marking a 42.86% increase from the 14 crashes recorded in July 2024. The most significant year-over-year change was a 166.67% rise in total injuries, from 3 in the prior period to 8 in the current period. Fatalities remained at zero in both periods.

20

42.9%was 14

Total Crash Events

0

Persons Killed

8

166.7%was 3

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for PLAINVILLE, MA shows an upward trend year-over-year, with total crashes increasing from 14 to 20, a 42.86% rise. Concurrently, the number of injured persons saw a substantial increase, rising from 3 to 8, representing a 166.67% increase. Fatalities remained consistent at zero in both July 2024 and July 2025.

3

Hit-and-Run Crashes — July 2025

50.0% vs prior (2)

Hit-and-run crashes increased from 2 in July 2024 to 3 in July 2025. The hit-and-run crash rate saw a slight increase, moving from 14.3% of total crashes in the prior period to 15% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 3166.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 from Wednesday with 4 crashes in July 2024 to Tuesday with 6 crashes in July 2025. The peak hour also changed, moving from 3 PM with 4 crashes in the prior period to 5 PM with 3 crashes in the current period. Overall, there was an increase in crash counts across most days of the week, with Saturday remaining at zero crashes in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes reported in either July 2024 or July 2025. Crashes resulting in injury increased from 2 in the prior period to 6 in the current period. The proportion of crashes with injuries rose from 14.3% of total crashes in July 2024 to 30% in July 2025, and included one serious injury in the current period where none were reported previously.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes5%
Minor Injury2minor injury crashes10%
0.0%prior 2
Possible Injury3possible injury crashes15%
No Injury14no injury crashes70%
27.3%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes where 'Failed to yield right of way' was a contributing factor increased from 4 to 6, while 'Inattention' increased from 2 to 6. 'Followed too closely' also saw an increase, rising from 1 to 3 crashes year-over-year. Conversely, crashes attributed to 'Disregarded traffic signs, signals, road markings' decreased from 2 to 1.

Officer-Reported Primary Contributing Cause

Failed to yield right of way6 (30%)
Inattention6 (30%)
Followed too closely3 (15%)
No improper driving2 (10%)
Disregarded traffic signs, signals, road markings1 (5%)
Distracted1 (5%)
Other improper action1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 13 in July 2024 to 15 in July 2025. Crashes in adverse weather conditions (Rain/Cloudy, Cloudy, Rain) increased from 1 to 4. Crashes on dry road surfaces rose from 11 to 16, while crashes on wet surfaces increased from 1 to 3.

Weather

Clear12 (63.2%)
9.1%prior 11
Clear/Clear3 (15.8%)
Rain/Cloudy2 (10.5%)
Cloudy1 (5.3%)
Rain1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight19 (95.0%)
46.2%prior 13
Dusk1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry16 (84.2%)
45.5%prior 11
Wet3 (15.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (41 vehicles)

1
TOYOTA5 (12.2%)
-16.7%prior 6
2
HYUNDAI5 (12.2%)
3
VOLKSWAGEN4 (9.8%)
4
SUBARU4 (9.8%)
5
NISSAN4 (9.8%)
6
CHEVROLET3 (7.3%)
7
JEEP2 (4.9%)
8
FORD2 (4.9%)
9
HONDA2 (4.9%)
-60.0%prior 5
10
MAZDA1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (46 persons with recorded sex)

Female23 (50.0%)
91.7%prior 12
Male23 (50.0%)
27.8%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

The number of crashes with recorded speed limits increased from 6 in July 2024 to 9 in July 2025. There were no fatal crashes reported in any speed zone during either period. Crashes in the 40 mph zone decreased from 2 to 1, while new crash counts appeared in the 30 mph (2 crashes) and 35 mph (3 crashes) zones in the current period, which were not present in the prior period's data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: PLAINVILLE, MA
  • Total crash records analyzed: 20
  • Total persons involved: 54
  • Total vehicles involved: 41

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/plainville/july-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 — July 2025 | ThatCarHitMe.com