Monthly Traffic Safety Analysis

17 CRASHES IN
EASTHAMPTON, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, EASTHAMPTON experienced 17 crashes, marking a 29.2% decrease from the 24 crashes recorded in May 2024. This period also saw a 33.3% reduction in total injuries, falling from 6 to 4 year-over-year.

17

-29.2%was 24

Total Crash Events

0

Persons Killed

4

-33.3%was 6

Persons Injured

0

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

Trend Summary

Overall, crash activity in EASTHAMPTON showed a declining trend year-over-year. Total crashes decreased by 29.2%, from 24 in May 2024 to 17 in May 2025. Similarly, total injuries decreased from 6 to 4, representing a 33.3% reduction.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 6-33.3%

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 patterns of crashes shifted between the two periods. The peak day for crashes moved from Friday with 6 incidents in May 2024 to Tuesday with 4 incidents in May 2025. Additionally, the peak crash hour shifted from 9 PM with 3 crashes in the prior year to 5 PM with 4 crashes in the current year.

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. A notable change was the absence of serious injury crashes (Severity A) in May 2025, down from 1 such crash in May 2024. Crashes resulting in minor injuries (Severity B) and possible injuries (Severity C) each maintained their counts of 2 and 1 respectively across both periods.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes11.8%
0.0%prior 2
Possible Injury1possible injury crashes5.9%
0.0%prior 1
No Injury14no injury crashes82.4%
-30.0%prior 20

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 most frequent contributing factor, 'No improper driving,' decreased from 11 crashes in May 2024 to 8 crashes in May 2025. Conversely, crashes attributed to 'Inattention' doubled, rising from 3 in May 2024 to 6 in May 2025. While 'Distracted' was a factor in 1 crash in May 2024, it was not listed among the top factors in May 2025.

Officer-Reported Primary Contributing Cause

No improper driving8 (47.1%)-27.3%prior 11
Inattention6 (35.3%)
Failure to keep in proper lane or running off road1 (5.9%)
Visibility obstructed1 (5.9%)

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 in 'Clear' weather conditions decreased from 21 in May 2024 to 10 in May 2025. In contrast, crashes during 'Rain' conditions increased from 0 to 3, and 'Cloudy/Rain' conditions, with 1 crash, were reported in May 2025 but not the prior year.

Weather

Clear10 (58.8%)
-52.4%prior 21
Rain3 (17.6%)
Cloudy2 (11.8%)
Clear/Cloudy1 (5.9%)
Cloudy/Rain1 (5.9%)

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

Road Surface

Dry12 (70.6%)
Wet5 (29.4%)

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

Vehicles & Demographics

Top Vehicle Makes (33 vehicles)

1
HONDA7 (21.2%)
40.0%prior 5
2
SUBARU5 (15.2%)
3
FORD4 (12.1%)
-42.9%prior 7
4
NISSAN3 (9.1%)
-50.0%prior 6
5
TOYOTA3 (9.1%)
6
JEEP2 (6.1%)
7
GMC2 (6.1%)
8
VOLKSWAGEN1 (3%)
9
KIA1 (3%)
10
LEX1 (3%)

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

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

Sex Distribution (37 persons with recorded sex)

Female21 (56.8%)
-19.2%prior 26
Male16 (43.2%)
-30.4%prior 23

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

No fatal crashes were reported across any speed zones in either May 2024 or May 2025. Crashes occurring in the 35 mph speed zone decreased from 9 in May 2024 to 5 in May 2025. Conversely, crashes in the 25 mph speed zone doubled, increasing from 2 to 4 incidents year-over-year.

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: EASTHAMPTON, MA
  • Total crash records analyzed: 17
  • Total persons involved: 39
  • Total vehicles involved: 33

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). "EASTHAMPTON, 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/easthampton/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

ThatCarHitMe.com · An Injuria.ai Company

Easthampton, MA Crash Report — May 2025 | ThatCarHitMe.com