Monthly Traffic Safety Analysis

24 CRASHES IN
EASTHAMPTON, MA
MARCH 2022

All metrics benchmarked againstMarch 2021

Total crashes in EASTHAMPTON, MA increased by 41.2% year-over-year, rising from 17 in March 2021 to 24 in March 2022. This increase in overall incidents was accompanied by a significant rise in hit-and-run crashes, which tripled from 1 to 3 over the same period. Despite the increase in total crashes, overall injuries slightly decreased from 9 to 8.

24

41.2%was 17

Total Crash Events

0

Persons Killed

8

-11.1%was 9

Persons Injured

3

200.0%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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash incidents in EASTHAMPTON, MA showed an upward trend, increasing by 41.2% from 17 crashes in March 2021 to 24 crashes in March 2022. This indicates a notable rise in vehicular incidents year-over-year.

3

Hit-and-Run Crashes — March 2022

200.0% vs prior (1)

Hit-and-run crashes increased significantly from 1 incident in March 2021 to 3 incidents in March 2022. This resulted in the hit-and-run rate more than doubling, rising from 5.9% of total crashes in March 2021 to 12.5% in March 2022, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 714.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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 Thursday in March 2021, which had 4 crashes, to Friday in March 2022, with 7 crashes. The peak hour also saw a change, moving from 3 PM with 4 crashes in March 2021 to 4 PM with 3 crashes in March 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either March 2021 or March 2022. Total injuries decreased from 9 in March 2021 to 8 in March 2022, even as total crashes increased. The proportion of possible injury crashes significantly decreased from 29.4% in March 2021 to 4.2% in March 2022.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes16.7%
33.3%prior 3
Possible Injury1possible injury crashes4.2%
-80.0%prior 5
No Injury17no injury crashes70.8%
142.9%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor in March 2022 was 'No improper driving' with 9 crashes, a substantial increase from 2 crashes in March 2021. 'Inattention' also rose, contributing to 5 crashes in March 2022 compared to 2 in March 2021. Factors such as 'Illness' (2 crashes), 'Glare' (1 crash), and 'Distracted' (1 crash) were noted in March 2022 but not explicitly listed in March 2021's top factors.

Officer-Reported Primary Contributing Cause

No improper driving9 (37.5%)
Inattention5 (20.8%)
Illness2 (8.3%)
Glare1 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.2%)
Other improper action1 (4.2%)
Distracted1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Both periods predominantly experienced crashes under clear weather and daylight conditions. In March 2022, 19 crashes occurred in clear weather compared to 16 in March 2021, and 20 crashes occurred in daylight compared to 15 in March 2021. Road surface data was only available for March 2022, showing 21 crashes on dry surfaces and 3 on wet surfaces.

Weather

Clear19 (79.2%)
18.8%prior 16
Cloudy3 (12.5%)
Clear/Cloudy1 (4.2%)
Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Weather condition at time of crash

Lighting

Daylight20 (83.3%)
33.3%prior 15
Dark - lighted roadway4 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Lighting condition field

Road Surface

Dry21 (87.5%)
Wet3 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (41 vehicles)

1
TOYOTA6 (14.6%)
2
HONDA5 (12.2%)
-16.7%prior 6
3
FORD5 (12.2%)
4
HYUNDAI4 (9.8%)
5
CHEVROLET3 (7.3%)
6
JEEP3 (7.3%)
7
NISSAN3 (7.3%)
-40.0%prior 5
8
DODGE2 (4.9%)
9
SUBARU2 (4.9%)
10
ACURA1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records

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

Sex Distribution (39 persons with recorded sex)

Male25 (64.1%)
25.0%prior 20
Female14 (35.9%)
40.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 20 mph zone increased from 1 in March 2021 to 4 in March 2022, and in the 25 mph zone from 3 to 6. Crashes in the 35 mph zone also saw a notable increase from 2 to 7. Conversely, crashes in the 30 mph zone decreased from 6 to 4, and the 65 mph zone, which had 2 crashes in March 2021, had none in March 2022. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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: 2022-03-01 through 2022-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-03-01 through 2022-03-31 (31 days)
  • Geographic scope: EASTHAMPTON, MA
  • Total crash records analyzed: 24
  • Total persons involved: 48
  • Total vehicles involved: 41

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: March 2022." Published June 21, 2026. Reporting period: 2022-03-01 to 2022-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easthampton/march-2022-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 — March 2022 | ThatCarHitMe.com