Monthly Traffic Safety Analysis

31 CRASHES IN
EASTHAMPTON, MA
OCTOBER 2022

All metrics benchmarked againstOctober 2021

Total crashes in October 2022 increased to 31, up 19.23% from 26 crashes in October 2021. Despite this rise in overall incidents, total injuries decreased by 37.5%, falling from 8 to 5. Fatalities remained at zero in both periods, indicating no change in the most severe crash outcomes.

31

19.2%was 26

Total Crash Events

0

Persons Killed

5

-37.5%was 8

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents show an upward trend, with total crashes increasing by 19.23% from 26 in October 2021 to 31 in October 2022. Conversely, total injuries experienced a notable decline of 37.5% year-over-year, decreasing from 8 to 5. Fatalities remained stable at zero in both periods.

1

Hit-and-Run Crashes — October 2022

3.2% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 2-50.0%

3

Motorists Injured

Prior: 6-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · 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 Saturday in October 2021, with 7 crashes, to Monday in October 2022, also with 7 crashes. The peak hour for crashes also changed, moving from 5 p.m. with 3 crashes in the prior period to 6 p.m. with 4 crashes in the current period. Crashes on Saturday decreased from 7 to 5, while crashes on Monday increased from 5 to 7.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both October 2021 and October 2022. Total injuries decreased from 8 in the prior period to 5 in the current period, representing a 37.5% reduction. The current period saw 1 serious injury crash (3.2% of crashes) and 4 minor injury crashes (12.9% of crashes), while the prior period reported 2 minor injury crashes (7.7% of crashes) and 2 possible injury crashes (7.7% of crashes).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.2%
Minor Injury4minor injury crashes12.9%
100.0%prior 2
No Injury23no injury crashes74.2%
15.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased in count from 6 in October 2021 to 8 in October 2022. 'Inattention' remained stable at 6 crashes in both periods, while 'Distracted' crashes increased from 1 to 2. Conversely, 'Failed to yield right of way' decreased from 3 crashes to 1, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also decreased from 3 crashes to 2.

Officer-Reported Primary Contributing Cause

No improper driving8 (25.8%)33.3%prior 6
Inattention6 (19.4%)0.0%prior 6
Distracted2 (6.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.5%)
Visibility obstructed2 (6.5%)
Failure to keep in proper lane or running off road1 (3.2%)
Physical impairment1 (3.2%)
Illness1 (3.2%)
Failed to yield right of way1 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 16 to 21 year-over-year. Incidents during 'Rain' decreased from 4 to 3, while crashes on 'Wet' road surfaces increased from 5 to 9. Crashes during 'Daylight' conditions increased from 19 to 21, and those in 'Dark - lighted roadway' conditions increased from 5 to 6.

Weather

Clear21 (67.7%)
31.3%prior 16
Cloudy5 (16.1%)
Rain3 (9.7%)
Cloudy/Rain2 (6.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Weather condition at time of crash

Lighting

Daylight21 (70.0%)
10.5%prior 19
Dark - lighted roadway6 (20.0%)
20.0%prior 5
Dark - roadway not lighted2 (6.7%)
Dark - unknown roadway lighting1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Lighting condition field

Road Surface

Dry22 (71.0%)
4.8%prior 21
Wet9 (29.0%)
80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (56 vehicles)

1
FORD11 (19.6%)
57.1%prior 7
2
TOYOTA8 (14.3%)
33.3%prior 6
3
HYUNDAI5 (8.9%)
4
HONDA4 (7.1%)
-55.6%prior 9
5
NISSAN4 (7.1%)
6
JEEP3 (5.4%)
7
CHEVROLET3 (5.4%)
-50.0%prior 6
8
RAM3 (5.4%)
9
CHRYSLER2 (3.6%)
10
SUBARU2 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records

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

Sex Distribution (56 persons with recorded sex)

Male29 (51.8%)
11.5%prior 26
Female27 (48.2%)
-12.9%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Person-level records linked to crash events

Speed Limit Zones

The highest number of crashes shifted from the 35 mph zone in October 2021 (9 crashes) to the 25 mph zone in October 2022 (11 crashes). Crashes in the 25 mph zone increased from 6 to 11, while those in the 35 mph zone decreased from 9 to 7. The 30 mph zone maintained 7 crashes in both periods, and no fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-10-01 through 2022-10-31 (31 days)
  • Geographic scope: EASTHAMPTON, MA
  • Total crash records analyzed: 31
  • Total persons involved: 67
  • Total vehicles involved: 56

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: October 2022." Published June 21, 2026. Reporting period: 2022-10-01 to 2022-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/easthampton/october-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

ThatCarHitMe.com · An Injuria.ai Company

Easthampton, MA Crash Report — October 2022 | ThatCarHitMe.com