Monthly Traffic Safety Analysis

17 CRASHES IN
MEDWAY, MA
FEBRUARY 2026

All metrics benchmarked againstFebruary 2025

In February 2026, MEDWAY, MA recorded 17 total crashes, marking a 30.8% increase from the 13 crashes reported in February 2025. A notable shift includes the increase in hit-and-run crashes, which rose from 0 in the prior period to 2 in the current period.

17

30.8%was 13

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

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.

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, crashes in MEDWAY, MA showed an upward trend year-over-year, increasing by 4 crashes from 13 in February 2025 to 17 in February 2026. This represents a 30.8% rise in total crash incidents for the month.

2

Hit-and-Run Crashes — February 2026

11.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 30.0%

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 temporal distribution of crashes shifted year-over-year, with Saturday becoming the peak day in February 2026 with 4 crashes, compared to Friday being the peak day in February 2025 with 3 crashes. While the peak crash count per hour remained at 2, the peak hour shifted from 2 PM in February 2025 to 7 PM in February 2026.

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 or fatalities reported in either February 2025 or February 2026. Total injuries decreased from 4 in February 2025 to 3 in February 2026. The number of minor injury crashes remained stable at 3 in both periods, though their share of total crashes decreased from 23.1% in the prior period to 17.6% in the current period.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes17.6%
0.0%prior 3
No Injury14no injury crashes82.4%
55.6%prior 9

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

Among contributing factors, crashes where 'No improper driving' was noted increased from 1 in February 2025 to 5 in February 2026, a rise of 4 crashes. Conversely, 'Failed to yield right of way' crashes decreased by 2, from 4 in the prior period to 2 in the current period. 'Inattention' and 'Followed too closely' each increased by 1 crash, from 1 to 2 incidents year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving5 (29.4%)
Inattention2 (11.8%)
Failed to yield right of way2 (11.8%)
Followed too closely2 (11.8%)
Made an improper turn1 (5.9%)
Distracted1 (5.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5.9%)
Driving too fast for conditions1 (5.9%)
Failure to keep in proper lane or running off road1 (5.9%)
Fatigued/asleep1 (5.9%)

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 in 'Daylight' conditions increased from 6 in February 2025 to 11 in February 2026, while those on 'Dry' road surfaces increased from 7 to 9. Crashes under 'Snow' weather conditions also increased from 1 to 3 incidents year-over-year. Conversely, crashes on 'Dark - roadway not lighted' decreased from 2 in the prior period to 0 in the current period.

Weather

Clear/Clear5 (29.4%)
0.0%prior 5
Clear4 (23.5%)
Snow3 (17.6%)
Snow/Clear1 (5.9%)
Blowing sand, snow1 (5.9%)
Snow/Rain1 (5.9%)
Clear/Cloudy1 (5.9%)
Sleet, hail (freezing rain or drizzle)/Snow1 (5.9%)

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

Lighting

Daylight11 (64.7%)
83.3%prior 6
Dark - lighted roadway5 (29.4%)
Dusk1 (5.9%)

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

Road Surface

Dry9 (52.9%)
28.6%prior 7
Wet4 (23.5%)
Snow2 (11.8%)
Ice1 (5.9%)
Slush1 (5.9%)

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

Vehicles & Demographics

Top Vehicle Makes (30 vehicles)

1
FORD5 (16.7%)
2
TOYOTA4 (13.3%)
3
JEEP4 (13.3%)
4
HYUNDAI3 (10%)
5
HONDA3 (10%)
6
CHEVROLET2 (6.7%)
7
NISSAN2 (6.7%)
8
TESL2 (6.7%)
9
GMC2 (6.7%)
10
AUDI1 (3.3%)

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

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

Sex Distribution (41 persons with recorded sex)

Male22 (53.7%)
37.5%prior 16
Female19 (46.3%)
171.4%prior 7

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 zones decreased from 2 in February 2025 to 0 in February 2026, while crashes in 30 mph zones decreased from 2 to 1. Conversely, crashes in 35 mph zones increased from 1 in the prior period to 2 in the current period. No fatal crashes were reported in any listed speed zone for 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: MEDWAY, MA
  • Total crash records analyzed: 17
  • Total persons involved: 41
  • Total vehicles involved: 30

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). "MEDWAY, 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/medway/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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Medway, MA Crash Report — February 2026 | ThatCarHitMe.com