Monthly Traffic Safety Analysis

32 CRASHES IN
HADLEY, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

Total crashes in Hadley increased from 20 in March 2025 to 32 in March 2026, marking a 60% rise year-over-year. This period also saw a substantial increase in total injuries, from 1 to 7, while fatal crashes remained at zero for both periods. The most notable shift was the 60% increase in total crashes.

32

60.0%was 20

Total Crash Events

0

Persons Killed

7

600.0%was 1

Persons Injured

0

-100.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Hadley showed a significant increase year-over-year, with total crashes rising by 60% from 20 in March 2025 to 32 in March 2026. Concurrently, total injuries increased sevenfold, from 1 to 7, indicating a worsening trend in crash outcomes. Fatalities remained stable at zero in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 1600.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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 Tuesday, with 7 crashes in March 2025, to Friday and Wednesday, both recording 6 crashes in March 2026. The peak hour for crashes also changed, moving from 3 PM with 6 crashes in the prior period to 4 PM with 5 crashes in the current period. Notably, crashes on Wednesdays increased from 0 in the prior period to 6 in the current period, while crashes on Saturdays decreased from 4 to 2.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes reported in either March 2025 or March 2026. However, total injuries increased significantly from 1 in the prior period to 7 in the current period. Minor injury crashes increased from 1 (5% of total crashes) to 4 (12.5% of total crashes), and 2 possible injury crashes (6.3% of total crashes) were reported in March 2026, a category not present in March 2025.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes12.5%
300.0%prior 1
Possible Injury2possible injury crashes6.3%
No Injury26no injury crashes81.3%
52.9%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

Among common contributing factors, "No improper driving" increased by 3 crashes, from 3 to 6, while "Inattention" decreased by 3 crashes, from 9 to 6. "Driving too fast for conditions" saw an increase of 4 crashes, from 0 to 4, and "Failed to yield right of way" increased by 3 crashes, from 0 to 3. Conversely, "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" decreased by 2 crashes, from 3 to 1.

Officer-Reported Primary Contributing Cause

No improper driving6 (18.8%)
Inattention6 (18.8%)-33.3%prior 9
Driving too fast for conditions4 (12.5%)
Failed to yield right of way3 (9.4%)
Distracted3 (9.4%)
Visibility obstructed2 (6.3%)
Failure to keep in proper lane or running off road2 (6.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.1%)
Other improper action1 (3.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions increased by 7, from 13 in March 2025 to 20 in March 2026. Regarding road surface conditions, crashes on "Dry" surfaces increased by 2 (from 19 to 21), and on "Wet" surfaces by 2 (from 1 to 3). The current period also reported 5 crashes on "Slush" and 2 on "Snow" surfaces, which were not recorded in the prior period. Crashes during "Daylight" increased by 7, from 16 to 23.

Weather

Clear20 (62.5%)
53.8%prior 13
Cloudy6 (18.8%)
Sleet, hail (freezing rain or drizzle)4 (12.5%)
Fog, smog, smoke1 (3.1%)
Snow/Sleet, hail (freezing rain or drizzle)1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight23 (71.9%)
43.8%prior 16
Dark - lighted roadway4 (12.5%)
Dark - roadway not lighted2 (6.3%)
Dawn1 (3.1%)
Dusk1 (3.1%)
Other1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry21 (65.6%)
10.5%prior 19
Slush5 (15.6%)
Wet3 (9.4%)
Snow2 (6.3%)
Ice1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (58 vehicles)

1
HONDA11 (19%)
83.3%prior 6
2
TOYOTA8 (13.8%)
-27.3%prior 11
3
HYUNDAI5 (8.6%)
4
JEEP5 (8.6%)
5
MAZDA4 (6.9%)
6
SUBARU3 (5.2%)
7
FORD3 (5.2%)
8
NISSAN3 (5.2%)
9
CHEVROLET2 (3.4%)
10
VOLVO2 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

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

Sex Distribution (59 persons with recorded sex)

Male31 (52.5%)
40.9%prior 22
Female28 (47.5%)
55.6%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 10 mph speed zone increased by 1, from 3 to 4, while those in the 35 mph speed zone increased by 5, from 8 to 13. Crashes in the 40 mph speed zone saw the largest increase, rising by 6 from 4 to 10. No fatal crashes were recorded in any speed zone during either period. The current period reported crashes in 5 mph (1), 30 mph (2), and 55 mph (2) zones, which were not present in the prior period.

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

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: HADLEY, MA
  • Total crash records analyzed: 32
  • Total persons involved: 63
  • Total vehicles involved: 58

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