Monthly Traffic Safety Analysis

21 CRASHES IN
EASTHAMPTON, MA
APRIL 2024

All metrics benchmarked againstApril 2023

In April 2024, Easthampton experienced 21 crashes, a 12.5% decrease compared to the 24 crashes reported in April 2023. Total injuries also decreased by 33.3%, from 9 to 6. A notable shift is the increase in DUI crashes, which rose from 0 in April 2023 to 3 in April 2024.

21

▼ -12.5%was 24

Total Crash Events

0

Persons Killed

6

▼ -33.3%was 9

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Easthampton showed a downward trend year-over-year. Total crashes decreased by 12.5%, from 24 in April 2023 to 21 in April 2024. Similarly, total injuries declined by 33.3%, from 9 to 6 during the same period, with no fatalities reported in either month.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

6

Motorists Injured

Prior: 7↓-14.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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 Monday in April 2023 (5 crashes) to Thursday in April 2024 (5 crashes). While the peak hour remained 2p in both periods, the number of crashes at that hour decreased from 6 in April 2023 to 3 in April 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities or fatal crashes in either April 2023 or April 2024. Total injuries decreased from 9 in April 2023 to 6 in April 2024. In April 2023, there was 1 serious injury crash (4.2% of total crashes), which was not present in April 2024, where only minor injuries and no-injury crashes were reported.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes19%
→0.0%prior 4
No Injury16no injury crashes76.2%
↓-5.9%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased from 8 crashes in April 2023 to 5 crashes in April 2024. Conversely, 'Inattention' crashes increased from 2 to 4 year-over-year. 'Failed to yield right of way' crashes decreased from 4 to 3, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' remained at 1 crash in both periods.

Officer-Reported Primary Contributing Cause

No improper driving5 (23.8%)↓-37.5%prior 8
Inattention4 (19%)
Failed to yield right of way3 (14.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (9.5%)
Fatigued/asleep2 (9.5%)
Other improper action2 (9.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.8%)
Physical impairment1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions significantly decreased from 20 in April 2023 to 8 in April 2024, while cloudy conditions saw an increase from 2 to 8 crashes. Correspondingly, crashes on dry road surfaces decreased from 20 to 13, and crashes on wet surfaces increased from 4 to 7. There was also a notable shift in lighting conditions, with daylight crashes decreasing from 20 to 14, and crashes in dark-lighted roadway conditions increasing from 2 to 6.

Weather

Clear8 (38.1%)
↓-60.0%prior 20
Cloudy8 (38.1%)
Rain2 (9.5%)
Clear/Other1 (4.8%)
Cloudy/Rain1 (4.8%)
Sleet, hail (freezing rain or drizzle)1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash

Lighting

Daylight14 (66.7%)
↓-30.0%prior 20
Dark - lighted roadway6 (28.6%)
Dark - roadway not lighted1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field

Road Surface

Dry13 (61.9%)
↓-35.0%prior 20
Wet7 (33.3%)
Slush1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (40 vehicles)

1
HONDA7 (17.5%)
2
FORD7 (17.5%)
3
TOYOTA5 (12.5%)
↓-54.5%prior 11
4
HYUNDAI4 (10%)
5
NISSAN3 (7.5%)
6
JEEP3 (7.5%)
7
CHEVROLET3 (7.5%)
8
BUIC1 (2.5%)
9
VOLKSWAGEN1 (2.5%)
10
DODGE1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records

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

Sex Distribution (33 persons with recorded sex)

Male18 (54.5%)
↓-37.9%prior 29
Female15 (45.5%)
↓-44.4%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones remained stable at 6 crashes in both April 2023 and April 2024. There was an increase in crashes within 30 mph zones, rising from 4 to 5, and in 35 mph zones, increasing from 5 to 7. No fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-04-01 through 2024-04-30 (30 days)
  • Geographic scope: EASTHAMPTON, MA
  • Total crash records analyzed: 21
  • Total persons involved: 42
  • Total vehicles involved: 40

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: April 2024." Published June 21, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easthampton/april-2024-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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Easthampton, MA Crash Report — April 2024 | ThatCarHitMe.com