Monthly Traffic Safety Analysis

18 CRASHES IN
SOUTH HADLEY, MA
OCTOBER 2025

All metrics benchmarked againstOctober 2024

In October 2025, South Hadley experienced 18 crashes, a 14.3% decrease from the 21 crashes recorded in October 2024. Despite the decrease in total crashes, the number of injuries increased substantially from 3 in the prior period to 9 in the current period, representing a 200% rise.

18

-14.3%was 21

Total Crash Events

0

Persons Killed

9

200.0%was 3

Persons Injured

2

-33.3%was 3

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 · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in South Hadley decreased by 14.3% year-over-year, falling from 21 crashes in October 2024 to 18 crashes in October 2025. This indicates a downward trend in the total number of crashes for the period.

2

Hit-and-Run Crashes — October 2025

-33.3% vs prior (3)

The number of hit-and-run crashes decreased from 3 in October 2024 to 2 in October 2025. Concurrently, the hit-and-run rate declined from 14.3% in the prior period to 11.1% in the current period, indicating a downward trend.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

8

Motorists Injured

Prior: 1700.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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 2024, with 6 crashes, to Friday in October 2025, also with 6 crashes. The peak crash hour also changed, moving from 12p with 4 crashes in the prior period to 8a with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either October 2024 or October 2025. However, total injuries saw a significant increase of 200%, rising from 3 injured persons in October 2024 to 9 injured persons in October 2025. While crashes resulting in 'Minor Injury' decreased from 3 in the prior period to 2 in the current period, 'Possible Injury' crashes, which were not present in October 2024, accounted for 3 incidents in October 2025.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes11.1%
-33.3%prior 3
Possible Injury3possible injury crashes16.7%
No Injury13no injury crashes72.2%
-13.3%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record

Top Contributing Factors

Among common contributing factors, 'Inattention' crashes increased by 2, rising from 3 in October 2024 to 5 in October 2025. Conversely, crashes attributed to 'Failed to yield right of way' decreased by 2, from 3 crashes in the prior period to 1 crash in the current period. 'Followed too closely' incidents increased by 1, from 1 crash to 2 crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving5 (27.8%)0.0%prior 5
Inattention5 (27.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (11.1%)
Followed too closely2 (11.1%)
Disregarded traffic signs, signals, road markings2 (11.1%)
Glare1 (5.6%)
Failed to yield right of way1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in 'Clear' weather conditions decreased from 20 in October 2024 to 13 in October 2025, while 'Cloudy' weather crashes increased from 1 to 4 during the same period. For lighting conditions, crashes during 'Daylight' increased from 13 in the prior period to 17 in the current period, while crashes in 'Dark - lighted roadway' conditions, which accounted for 5 incidents in October 2024, were not reported in October 2025.

Weather

Clear13 (72.2%)
-35.0%prior 20
Cloudy4 (22.2%)
Cloudy/Rain1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash

Lighting

Daylight17 (94.4%)
30.8%prior 13
Dusk1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field

Road Surface

Dry15 (83.3%)
Wet3 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (32 vehicles)

1
FORD4 (12.5%)
2
HYUNDAI4 (12.5%)
3
TOYOTA4 (12.5%)
4
NISSAN3 (9.4%)
5
HONDA3 (9.4%)
-50.0%prior 6
6
JEEP3 (9.4%)
7
CHEVROLET2 (6.3%)
8
SUBARU1 (3.1%)
9
ALCM1 (3.1%)
10
BUIC1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Vehicle unit records

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

Sex Distribution (40 persons with recorded sex)

Female21 (52.5%)
50.0%prior 14
Male19 (47.5%)
-5.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones decreased from 10 in October 2024 to 5 in October 2025, representing a drop of 5 incidents. Similarly, crashes in 40 mph zones decreased from 4 to 2, and in 50 mph zones from 2 to 1. Notably, October 2025 saw 5 crashes occur in 25 mph zones and 1 crash in a 5 mph zone, categories not present in the prior year's data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-10-01 to 2025-10-31 · 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: 2025-10-01 through 2025-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-10-01 through 2025-10-31 (31 days)
  • Geographic scope: SOUTH HADLEY, MA
  • Total crash records analyzed: 18
  • Total persons involved: 43
  • Total vehicles involved: 32

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). "SOUTH HADLEY, MA Crash Intelligence Report: October 2025." Published June 21, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/south-hadley/october-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

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South Hadley, MA Crash Report — October 2025 | ThatCarHitMe.com