Monthly Traffic Safety Analysis

34 CRASHES IN
WILBRAHAM, MA
FEBRUARY 2026

All metrics benchmarked againstFebruary 2025

In February 2026, Wilbraham experienced 34 total crashes, a slight increase from the 33 crashes recorded in February 2025. While total crashes saw a modest 3.03% rise, total injuries decreased significantly by 44.44%, from 9 injuries in the prior period to 5 in the current period.

34

3.0%was 33

Total Crash Events

0

Persons Killed

5

-44.4%was 9

Persons Injured

0

-100.0%was 2

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Wilbraham saw a slight increase of 3.03% year-over-year, with 34 crashes in February 2026 compared to 33 in February 2025. Fatalities remained at zero in both periods, but total injuries decreased by 44.44%, from 9 to 5.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 9-44.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · 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 Friday in February 2025, with 6 crashes, to Wednesday in February 2026, with 8 crashes. The peak hour for crashes remained 3p in both periods, with 4 crashes in the prior period and 5 crashes in the current period. Notably, crashes on Thursday decreased from 5 in the prior period to 1 in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either February 2025 or February 2026. Total injuries decreased from 9 in the prior period to 5 in the current period, representing a 44.44% reduction. The current period saw no serious injuries (severity A), compared to 1 serious injury in the prior period, while minor injuries (severity B) increased from 1 to 3.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes8.8%
200.0%prior 1
Possible Injury2possible injury crashes5.9%
0.0%prior 2
No Injury28no injury crashes82.4%
-3.4%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving,' decreased by 1 crash, from 13 in February 2025 to 12 in February 2026. Conversely, 'Inattention' increased by 3 crashes, rising from 7 in the prior period to 10 in the current period. 'Followed too closely' decreased from 2 crashes to 1 crash year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving12 (35.3%)-7.7%prior 13
Inattention10 (29.4%)42.9%prior 7
Failed to yield right of way2 (5.9%)
Disregarded traffic signs, signals, road markings2 (5.9%)
Driving too fast for conditions2 (5.9%)
Followed too closely1 (2.9%)
Made an improper turn1 (2.9%)
Distracted1 (2.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.9%)
Visibility obstructed1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on 'Snow' road surfaces increased significantly from 5 in February 2025 to 11 in February 2026, while crashes on 'Ice' road surfaces decreased from 6 to 3. Similarly, crashes under 'Snow/Sleet, hail (freezing rain or drizzle)' weather conditions increased from 2 to 5. Crashes on 'Wet' road surfaces decreased from 8 to 3.

Weather

Clear19 (55.9%)
5.6%prior 18
Snow/Sleet, hail (freezing rain or drizzle)5 (14.7%)
Snow3 (8.8%)
-40.0%prior 5
Snow/Blowing sand, snow2 (5.9%)
Rain/Snow1 (2.9%)
Sleet, hail (freezing rain or drizzle)1 (2.9%)
Rain1 (2.9%)
Snow/Cloudy1 (2.9%)
Cloudy1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Weather condition at time of crash

Lighting

Daylight25 (73.5%)
8.7%prior 23
Dark - lighted roadway6 (17.6%)
20.0%prior 5
Dark - roadway not lighted1 (2.9%)
Dawn1 (2.9%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Lighting condition field

Road Surface

Dry17 (50.0%)
21.4%prior 14
Snow11 (32.4%)
120.0%prior 5
Ice3 (8.8%)
-50.0%prior 6
Wet3 (8.8%)
-62.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 51 in February 2025 to 55 in February 2026. Among top vehicle makes, VOLKSWAGEN and CHEVROLET saw increases of 4 vehicles each, while HYUNDAI and HONDA saw decreases of 4 and 3 vehicles, respectively. In terms of persons involved, the '21-25' and '65+' age groups each saw an increase of 6 persons, while the '16-20' age group decreased by 4 persons.

Top Vehicle Makes (55 vehicles)

1
FORD8 (14.5%)
33.3%prior 6
2
TOYOTA7 (12.7%)
-22.2%prior 9
3
VOLKSWAGEN6 (10.9%)
4
CHEVROLET5 (9.1%)
5
NISSAN4 (7.3%)
6
LEXUS4 (7.3%)
7
HONDA4 (7.3%)
-42.9%prior 7
8
BMW2 (3.6%)
9
HYUNDAI2 (3.6%)
-66.7%prior 6
10
SUBARU2 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Vehicle unit records

Sex Distribution (59 persons with recorded sex)

Male32 (54.2%)
23.1%prior 26
Female27 (45.8%)
-6.9%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones increased from 1 in February 2025 to 4 in February 2026, and crashes in 35 mph zones increased from 15 to 17. Conversely, crashes in 40 mph speed zones decreased from 10 to 7. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · 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: 2026-02-01 through 2026-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-02-01 through 2026-02-28 (28 days)
  • Geographic scope: WILBRAHAM, MA
  • Total crash records analyzed: 34
  • Total persons involved: 60
  • Total vehicles involved: 55

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). "WILBRAHAM, MA Crash Intelligence Report: February 2026." Published June 21, 2026. Reporting period: 2026-02-01 to 2026-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wilbraham/february-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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Wilbraham, MA Crash Report — February 2026 | ThatCarHitMe.com