Monthly Traffic Safety Analysis

12 CRASHES IN
ADAMS, MA
JUNE 2025

All metrics benchmarked againstJune 2024

In June 2025, ADAMS experienced 12 total crashes, mirroring the 12 crashes recorded in June 2024. While total crashes remained stable, total injuries increased by 100%, rising from 1 to 2. The most notable shift was in hit-and-run incidents, which doubled from 1 to 2, causing the hit-and-run rate to increase from 8.3% to 16.7% year-over-year.

12

Total Crash Events

0

Persons Killed

2

100.0%was 1

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

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

The overall trend for total crashes in ADAMS remained stable year-over-year, with 12 incidents recorded in both June 2025 and June 2024. However, total injuries saw an upward trend, increasing by 100% from 1 injury in June 2024 to 2 injuries in June 2025.

2

Hit-and-Run Crashes — June 2025

100.0% vs prior (1)

Hit-and-run crashes increased by 100% year-over-year, rising from 1 incident in June 2024 to 2 incidents in June 2025. This increase resulted in the hit-and-run rate climbing from 8.3% of total crashes in the prior period to 16.7% in the current period, indicating an upward trend in such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 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 Sunday, with 4 incidents in June 2024, to Saturday, also with 4 incidents, in June 2025. Similarly, the peak hour for crashes changed from 4 PM, with 3 incidents in June 2024, to 5 PM, with 2 incidents, in June 2025. Monday consistently recorded 3 crashes in both periods.

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

Fatalities remained at 0 in both June 2025 and June 2024, indicating no change in fatal crash outcomes. Total injuries increased by 100%, from 1 injury in June 2024 to 2 injuries in June 2025. Minor injury crashes, which constituted 8.3% of total crashes in the prior period, increased to 16.7% of total crashes in the current period.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes16.7%
100.0%prior 1
No Injury9no injury crashes75%
-18.2%prior 11

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 crashes attributed to "No improper driving" increased by 100%, rising from 3 in June 2024 to 6 in June 2025. Crashes due to "Inattention" decreased by 50%, from 2 in the prior period to 1 in the current period. "Followed too closely" was a factor in 2 crashes in June 2024 but was not present in June 2025, while "Made an improper turn," "Operating defective equipment," and "Wrong side or wrong way" each appeared as factors in 1 crash in June 2025 but not in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving6 (50%)
Inattention1 (8.3%)
Made an improper turn1 (8.3%)
Distracted1 (8.3%)
Operating defective equipment1 (8.3%)
Visibility obstructed1 (8.3%)
Wrong side or wrong way1 (8.3%)

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 Clear weather conditions remained stable at 10 incidents for both June 2025 and June 2024. Cloudy conditions saw a decrease from 2 crashes in June 2024 to 1 crash in June 2025, while 1 crash occurred in Rain conditions in June 2025, which was not observed in the prior period. Lighting and road surface conditions showed no significant year-over-year shifts, with Daylight and Dry road surfaces remaining the most common conditions for crashes in both periods.

Weather

Clear10 (83.3%)
0.0%prior 10
Cloudy1 (8.3%)
Rain1 (8.3%)

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

Lighting

Daylight10 (83.3%)
0.0%prior 10
Dark - lighted roadway1 (8.3%)
Dusk1 (8.3%)

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

Road Surface

Dry10 (83.3%)
0.0%prior 10
Wet2 (16.7%)

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 (22 vehicles)

1
CHEVROLET5 (22.7%)
2
TOYOTA4 (18.2%)
3
SUBARU3 (13.6%)
4
NISSAN2 (9.1%)
5
FORD2 (9.1%)
6
HONDA2 (9.1%)
7
VOLVO1 (4.5%)
8
DODGE1 (4.5%)

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

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

Sex Distribution (20 persons with recorded sex)

Male13 (65.0%)
30.0%prior 10
Female7 (35.0%)
-30.0%prior 10

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 25 mph zone remained stable at 3 incidents in both June 2024 and June 2025. Crashes in the 30 mph zone decreased from 3 to 2, and in the 35 mph zone from 4 to 2. Conversely, crashes in the 45 mph zone increased from 2 in June 2024 to 3 in June 2025, and new crash incidents were recorded in the 10 mph and 20 mph zones in June 2025, which were not present in the prior period. No fatal crashes were reported in any speed zone during 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: ADAMS, MA
  • Total crash records analyzed: 12
  • Total persons involved: 26
  • Total vehicles involved: 22

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). "ADAMS, 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/adams/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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Adams, MA Crash Report — June 2025 | ThatCarHitMe.com