Monthly Traffic Safety Analysis

24 CRASHES IN
EASTHAMPTON, MA
APRIL 2023

All metrics benchmarked againstApril 2022

Total crashes in EASTHAMPTON decreased by 4% year-over-year, from 25 in April 2022 to 24 in April 2023. A notable shift is the absence of pedestrian crashes in April 2023, down from 2 in the prior year, while bicycle crashes increased from 0 to 1.

24

-4.0%was 25

Total Crash Events

0

Persons Killed

9

Persons Injured

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 · 2023-04-01 to 2023-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend shows a slight decrease in total crashes, with a 4% reduction from 25 crashes in April 2022 to 24 crashes in April 2023. Total injuries remained stable at 9 in both periods, and no fatalities were reported in either year.

1

Hit-and-Run Crashes — April 2023

4.2% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

7

Motorists Injured

Prior: 8-12.5%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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 Saturday in April 2022, which had 7 crashes, to Monday in April 2023, with 5 crashes. The peak hour for crashes also changed from 1 PM in April 2022 (5 crashes) to 2 PM in April 2023 (6 crashes). Crashes on Saturdays decreased by 3, from 7 to 4, while crashes on Mondays increased by 3, from 2 to 5.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either April 2022 or April 2023. The total number of injuries remained constant at 9 across both periods. However, the distribution of injury severity shifted, with 1 serious injury (A) crash reported in April 2023 (4.2% of crashes) compared to none in April 2022, while minor injury (B) crashes decreased from 6 (24%) to 4 (16.7%).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.2%
Minor Injury4minor injury crashes16.7%
-33.3%prior 6
Possible Injury2possible injury crashes8.3%
0.0%prior 2
No Injury17no injury crashes70.8%
6.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Most severe injury per crash record

Top Contributing Factors

The most frequently cited contributing factor in both periods was 'No improper driving,' though its count decreased from 9 in April 2022 to 8 in April 2023. 'Failed to yield right of way' emerged as a factor in April 2023 with 4 crashes, not appearing among the top factors in April 2022. Crashes attributed to 'Inattention' increased from 1 in April 2022 to 2 in April 2023.

Officer-Reported Primary Contributing Cause

No improper driving8 (33.3%)-11.1%prior 9
Failed to yield right of way4 (16.7%)
Inattention2 (8.3%)
Followed too closely1 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.2%)
Visibility obstructed1 (4.2%)
Distracted1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 18 in April 2022 to 20 in April 2023, while those in cloudy or rainy conditions decreased from a combined total of 7 to 4. Crashes on wet road surfaces remained constant at 4 in both periods. The number of crashes occurring in daylight decreased slightly from 21 to 20, while crashes in dark conditions remained at 4 for both periods.

Weather

Clear20 (83.3%)
11.1%prior 18
Cloudy2 (8.3%)
Cloudy/Rain1 (4.2%)
Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Weather condition at time of crash

Lighting

Daylight20 (83.3%)
-4.8%prior 21
Dark - lighted roadway2 (8.3%)
Dark - roadway not lighted1 (4.2%)
Dark - unknown roadway lighting1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Lighting condition field

Road Surface

Dry20 (83.3%)
-4.8%prior 21
Wet4 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (47 vehicles)

1
TOYOTA11 (23.4%)
83.3%prior 6
2
CHEVROLET4 (8.5%)
-20.0%prior 5
3
FORD4 (8.5%)
-33.3%prior 6
4
ACURA3 (6.4%)
5
NISSAN3 (6.4%)
6
HONDA3 (6.4%)
7
HYUNDAI2 (4.3%)
8
JEEP2 (4.3%)
-60.0%prior 5
9
CHRYSLER2 (4.3%)
10
DODGE2 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Vehicle unit records

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

Sex Distribution (56 persons with recorded sex)

Male29 (51.8%)
16.0%prior 25
Female27 (48.2%)
17.4%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph and 35 mph speed zones remained stable with 6 and 5 crashes, respectively, in both periods. Crashes in the 20 mph zone decreased from 4 in April 2022 to 1 in April 2023, and in the 30 mph zone, they decreased from 6 to 4. New crashes were reported in 10 mph, 40 mph, and 55 mph zones in April 2023, which had no crashes in April 2022, while 5 mph and 65 mph zones, present in April 2022, had no crashes in April 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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: 2023-04-01 through 2023-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-04-01 through 2023-04-30 (30 days)
  • Geographic scope: EASTHAMPTON, MA
  • Total crash records analyzed: 24
  • Total persons involved: 61
  • Total vehicles involved: 47

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 2023." Published June 21, 2026. Reporting period: 2023-04-01 to 2023-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easthampton/april-2023-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 2023 | ThatCarHitMe.com