Monthly Traffic Safety Analysis

16 CRASHES IN
SOUTH HADLEY, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

Total crashes in South Hadley increased by 33.3% from 12 in March 2024 to 16 in March 2025. This period also saw a significant increase in total injuries, rising by 133.3% from 3 to 7. The most notable year-over-year shift was the doubling of single vehicle crashes, from 3 to 6.

16

33.3%was 12

Total Crash Events

0

Persons Killed

7

133.3%was 3

Persons Injured

0

Fatal Crash Events

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 · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for March 2025 indicates an upward trend compared to March 2024. Total crashes increased by 4, representing a 33.3% rise year-over-year. Concurrently, total injuries saw a substantial increase from 3 to 7, marking a 133.3% rise.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 2250.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Wednesday, with an increase from 4 crashes in March 2024 to 5 crashes in March 2025. Similarly, the peak hour stayed at 5 PM, with crashes increasing from 2 to 3. There was a notable shift in crashes on Saturdays, which increased from 1 to 4, and on Mondays, which increased from 0 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both March 2024 and March 2025. Crashes resulting in serious injury remained stable at 1 in both periods, though their share of total crashes decreased from 8.3% to 6.3%. Minor injury crashes increased in count from 2 to 3, while crashes with no injury increased from 9 to 12.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes6.3%
0.0%prior 1
Minor Injury3minor injury crashes18.8%
50.0%prior 2
No Injury12no injury crashes75%
33.3%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased by 1 crash, from 2 in the prior period to 3 in the current period. Factors such as 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner,' 'Followed too closely,' and 'Inattention' maintained their counts of 3, 3, and 2 crashes respectively, but their share of total crashes decreased. New contributing factors appearing in the current period include 'Failure to keep in proper lane or running off road' (2 crashes) and 'Exceeded authorized speed limit' (1 crash).

Officer-Reported Primary Contributing Cause

No improper driving3 (18.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (18.8%)
Followed too closely3 (18.8%)
Failure to keep in proper lane or running off road2 (12.5%)
Inattention2 (12.5%)
Visibility obstructed1 (6.3%)
Exceeded authorized speed limit1 (6.3%)
Disregarded traffic signs, signals, road markings1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under 'Clear' weather conditions increased by 3, from 8 to 11, while 'Dry' road surface conditions saw a 2-crash increase, from 10 to 12. Crashes during 'Daylight' hours increased by 1, from 9 to 10, and 'Dark - lighted roadway' crashes also increased by 1, from 3 to 4. Additionally, 'Ice' as a road surface condition appeared in the current period with 1 crash, where it was absent previously.

Weather

Clear11 (68.8%)
37.5%prior 8
Cloudy2 (12.5%)
Cloudy/Rain2 (12.5%)
Clear/Severe crosswinds1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight10 (62.5%)
11.1%prior 9
Dark - lighted roadway4 (25.0%)
Dark - roadway not lighted1 (6.3%)
Dusk1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry12 (75.0%)
20.0%prior 10
Wet3 (18.8%)
Ice1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (26 vehicles)

1
CHEVROLET4 (15.4%)
2
NISSAN3 (11.5%)
3
HONDA3 (11.5%)
4
TOYOTA3 (11.5%)
5
FORD2 (7.7%)
6
JAGU1 (3.8%)
7
LEXUS1 (3.8%)
8
MAZDA1 (3.8%)
9
MERCEDES-BENZ1 (3.8%)
10
SUBARU1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (32 persons with recorded sex)

Female18 (56.3%)
50.0%prior 12
Male14 (43.8%)
16.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 40 mph speed zone decreased by 2, from 4 to 2, while crashes in the 25 mph and 30 mph zones each increased by 1 crash. New crash occurrences were observed in the 20 mph (1 crash), 35 mph (3 crashes), and 45 mph (1 crash) speed zones in the current period, which had no crashes in these zones in the prior period. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: SOUTH HADLEY, MA
  • Total crash records analyzed: 16
  • Total persons involved: 33
  • Total vehicles involved: 26

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: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/south-hadley/march-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 — March 2025 | ThatCarHitMe.com