Monthly Traffic Safety Analysis

11 CRASHES IN
TEMPLETON, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, Templeton experienced 11 crashes, an increase from 7 crashes reported in June 2024, representing a 57.14% rise. Total injuries also increased from 3 to 5. Notably, there were no DUI-related crashes in June 2025, compared to 1 in June 2024.

11

57.1%was 7

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.

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, crash incidents in Templeton show an upward trend year-over-year, with total crashes increasing from 7 in June 2024 to 11 in June 2025. This represents a 57.14% increase in crash volume. Total injuries also rose by 66.67%, from 3 to 5.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 366.7%

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 distribution of crashes across the week shifted, with peak crash days in June 2025 occurring on Tuesday and Thursday, each with 3 crashes, compared to June 2024 where Wednesday, Friday, and Saturday each recorded 2 crashes. The peak crash hour in June 2025 was 10p with 1 crash, a slight shift from June 2024's peak at 9p, also with 1 crash.

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 2025 and June 2024 recorded 0 fatalities. However, total injuries increased from 3 in June 2024 to 5 in June 2025. The proportion of crashes resulting in minor injury remained relatively stable, with 28.6% in June 2024 (2 crashes) and 27.3% in June 2025 (3 crashes).

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes27.3%
50.0%prior 2
Possible Injury1possible injury crashes9.1%
No Injury7no injury crashes63.6%
40.0%prior 5

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

The count of 'No improper driving' crashes increased from 3 in June 2024 to 4 in June 2025. Similarly, 'Failure to keep in proper lane or running off road' and 'Followed too closely' each saw an increase of 1 crash, rising from 1 to 2 crashes year-over-year. 'Fatigued/asleep' was a contributing factor in 1 crash in June 2024 but was not present in June 2025, while 'Inattention' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' each contributed to 1 crash in June 2025 but not in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving4 (36.4%)
Failure to keep in proper lane or running off road2 (18.2%)
Followed too closely2 (18.2%)
Inattention1 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (9.1%)

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

Crashes occurring in 'Rain' conditions increased from 1 in June 2024 to 2 in June 2025. There was a notable increase in crashes during 'Dark - roadway not lighted' conditions, rising from 1 in June 2024 to 4 in June 2025. Crashes on 'Dry' road surfaces also increased from 6 to 9 year-over-year, while those on wet surfaces increased from 1 to 2.

Weather

Clear4 (36.4%)
-33.3%prior 6
Clear/Clear4 (36.4%)
Rain2 (18.2%)
Clear/Other1 (9.1%)

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

Lighting

Daylight5 (45.5%)
Dark - roadway not lighted4 (36.4%)
Dark - lighted roadway1 (9.1%)
Dawn1 (9.1%)

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

Road Surface

Dry9 (81.8%)
50.0%prior 6
Wet2 (18.2%)

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 (14 vehicles)

1
HYUNDAI2 (14.3%)
2
TOYOTA2 (14.3%)
3
HONDA2 (14.3%)
4
INFI1 (7.1%)
5
MAZDA1 (7.1%)
6
RAM1 (7.1%)
7
SUBARU1 (7.1%)
8
CHEVROLET1 (7.1%)
9
DODGE1 (7.1%)
10
HONDA MOTOCYCLE1 (7.1%)

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

Sex Distribution (14 persons with recorded sex)

Female8 (57.1%)
166.7%prior 3
Male6 (42.9%)
0.0%prior 6

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

Crashes in the 45 mph and 55 mph speed zones remained consistent year-over-year, with 1 crash at 45 mph and 4 crashes at 55 mph in both periods. June 2025 saw 3 crashes in 30 mph zones and 2 crashes in 35 mph zones, categories not present in June 2024 data. Conversely, the 65 mph zone, which recorded 1 crash in June 2024, had no crashes in June 2025.

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: TEMPLETON, MA
  • Total crash records analyzed: 11
  • Total persons involved: 15
  • Total vehicles involved: 14

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). "TEMPLETON, 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/templeton/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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Templeton, MA Crash Report — June 2025 | ThatCarHitMe.com