Monthly Traffic Safety Analysis

40 CRASHES IN
HADLEY, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, Hadley experienced 40 crashes, marking a 53.85% increase compared to the 26 crashes recorded in May 2024. Despite this rise in crash incidents, total injuries decreased by 40%, from 5 injuries in the prior period to 3 injuries in the current period.

40

53.8%was 26

Total Crash Events

0

Persons Killed

3

-40.0%was 5

Persons Injured

0

-100.0%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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Hadley increased significantly year-over-year, with total crashes rising by 53.85% from 26 in May 2024 to 40 in May 2025. Fatalities remained at zero in both periods, while total injuries decreased by 40%, from 5 to 3.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 5-40.0%

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 temporal distribution of crashes shifted year-over-year. In May 2024, the peak day for crashes was Sunday with 7 incidents, and the peak hour was 4 PM with 6 incidents. In contrast, May 2025 saw Monday and Saturday as peak days, both with 8 crashes, and the peak hour shifted to 2 PM with 7 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

Fatal crashes remained at zero in both May 2024 and May 2025. The number of minor injuries stayed consistent at 1 for both periods, while possible injuries decreased from 4 to 2. Consequently, crashes resulting in no injuries rose from 21 to 37.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes2.5%
0.0%prior 1
Possible Injury2possible injury crashes5%
0.0%prior 2
No Injury37no injury crashes92.5%
76.2%prior 21

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 leading contributing factors shifted, with 'No improper driving' increasing by 7 crashes, from 2 in May 2024 to 9 in May 2025. Conversely, 'Inattention' decreased by 3 crashes, from 11 to 8. Factors such as 'Followed too closely', 'Failed to yield right of way', 'Visibility obstructed', 'Disregarded traffic signs, signals, road markings', and 'Failure to keep in proper lane or running off road' all saw increases in their crash counts.

Officer-Reported Primary Contributing Cause

No improper driving9 (22.5%)
Inattention8 (20%)-27.3%prior 11
Followed too closely4 (10%)
Failed to yield right of way4 (10%)
Visibility obstructed3 (7.5%)
Disregarded traffic signs, signals, road markings2 (5%)
Failure to keep in proper lane or running off road2 (5%)
Over-correcting/over-steering2 (5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5%)
Distracted1 (2.5%)

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

Crashes occurring under clear weather conditions increased from 17 to 22 year-over-year, while those on wet road surfaces also rose from 5 to 12. Similarly, crashes during daylight hours increased from 24 to 35. This indicates a general increase in crashes across various conditions, with a notable rise in wet road incidents.

Weather

Clear22 (55.0%)
29.4%prior 17
Cloudy8 (20.0%)
33.3%prior 6
Rain5 (12.5%)
Clear/Cloudy2 (5.0%)
Cloudy/Rain2 (5.0%)
Rain/Cloudy1 (2.5%)

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

Lighting

Daylight35 (87.5%)
45.8%prior 24
Dark - lighted roadway2 (5.0%)
Dusk2 (5.0%)
Dark - roadway not lighted1 (2.5%)

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

Road Surface

Dry28 (70.0%)
33.3%prior 21
Wet12 (30.0%)
140.0%prior 5

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 51 to 79. Toyota and Honda remained the top two vehicle makes involved, both seeing an increase in their crash counts. There was a notable increase in crashes involving younger age groups, with those aged 16-20 increasing from 2 to 10, and those aged 26-34 increasing from 10 to 18, while crashes involving individuals aged 65 and older decreased from 10 to 6.

Top Vehicle Makes (79 vehicles)

1
TOYOTA21 (26.6%)
61.5%prior 13
2
HONDA11 (13.9%)
37.5%prior 8
3
FORD8 (10.1%)
4
HYUNDAI7 (8.9%)
5
SUBARU6 (7.6%)
6
VOLVO4 (5.1%)
7
CHEVROLET3 (3.8%)
8
LEXUS2 (2.5%)
9
JEEP2 (2.5%)
10
KIA2 (2.5%)

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

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

Sex Distribution (82 persons with recorded sex)

Male45 (54.9%)
66.7%prior 27
Female37 (45.1%)
37.0%prior 27

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

Crashes in 35 mph zones saw the largest increase, rising from 8 to 13, while 40 mph zones also experienced an increase from 8 to 10 crashes. There was a notable rise in crashes in lower speed zones, with 10 mph zones increasing from 4 to 5 and 15 mph zones from 2 to 4. The current period also recorded 2 crashes in 25 mph zones, a speed limit not present in the prior period's data.

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: HADLEY, MA
  • Total crash records analyzed: 40
  • Total persons involved: 90
  • Total vehicles involved: 79

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). "HADLEY, 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/hadley/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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Hadley, MA Crash Report — May 2025 | ThatCarHitMe.com