Monthly Traffic Safety Analysis

19 CRASHES IN
MEDWAY, MA
JANUARY 2026

All metrics benchmarked againstJanuary 2025

Total crashes in MEDWAY increased by 26.67% from 15 in January 2025 to 19 in January 2026. A significant shift was the occurrence of 1 fatality in January 2026, compared to zero fatalities in the prior year.

19

26.7%was 15

Total Crash Events

1

Persons Killed

6

-40.0%was 10

Persons Injured

0

-100.0%was 1

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 2 crashes with unreported severity are not shown in the severity breakdown.

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

Trend Summary

Overall, crashes in MEDWAY showed an upward trend, increasing by 4 crashes, or 26.67%, from 15 in January 2025 to 19 in January 2026.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

6

Motorists Injured

Prior: 8-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-01-01 to 2026-01-31 · 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 Wednesday with 5 crashes in January 2025 to Friday with 5 crashes in January 2026. The peak hour also changed, with January 2025 seeing 3 crashes at 12p, while January 2026 had 2 crashes at 2p.

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

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

Crash Severity Breakdown

Fatal crashes increased from 0 in January 2025 to 1 in January 2026, resulting in a fatal crash rate of 5.3% in the current period. Total injuries decreased from 10 in January 2025 to 6 in January 2026. The proportion of crashes resulting in minor, possible, or serious injuries (severity A, B, and C) decreased from 46.7% (7 crashes) in January 2025 to 21.0% (4 crashes) in January 2026.

Outcome by Severity (Crash Events)

Fatal1fatal crashes5.3%
Minor Injury2minor injury crashes10.5%
-33.3%prior 3
Possible Injury2possible injury crashes10.5%
-33.3%prior 3
No Injury12no injury crashes63.2%
50.0%prior 8

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

Comparing contributing factors, crashes attributed to 'No improper driving' increased from 2 in January 2025 to 6 in January 2026. Crashes due to 'Disregarded traffic signs, signals, road markings' also rose from 2 to 5 crashes year-over-year. Conversely, 'Inattention' as a contributing factor decreased from 4 crashes in January 2025 to 2 crashes in January 2026.

Officer-Reported Primary Contributing Cause

No improper driving6 (31.6%)
Disregarded traffic signs, signals, road markings5 (26.3%)
Followed too closely2 (10.5%)
Inattention2 (10.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5.3%)

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

Road & Environmental Conditions

The proportion of crashes occurring in adverse weather conditions (sleet/hail or snow) increased from 0% in January 2025 to 21.1% (4 crashes) in January 2026. Similarly, crashes on adverse road surfaces (ice, wet, or snow) increased from 13.3% (2 crashes) to 26.3% (5 crashes) year-over-year. Crashes occurring in darkness also rose from 13.3% (2 crashes) to 21.1% (4 crashes) of total crashes.

Weather

Clear/Clear9 (47.4%)
12.5%prior 8
Cloudy3 (15.8%)
Clear2 (10.5%)
Sleet, hail (freezing rain or drizzle)2 (10.5%)
Snow/Cloudy2 (10.5%)
Clear/Cloudy1 (5.3%)

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

Lighting

Daylight15 (78.9%)
25.0%prior 12
Dark - lighted roadway3 (15.8%)
Dark - roadway not lighted1 (5.3%)

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

Road Surface

Dry14 (73.7%)
7.7%prior 13
Ice2 (10.5%)
Wet2 (10.5%)
Snow1 (5.3%)

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

Vehicles & Demographics

Top Vehicle Makes (33 vehicles)

1
TOYOTA6 (18.2%)
2
FORD5 (15.2%)
0.0%prior 5
3
HONDA4 (12.1%)
4
KIA2 (6.1%)
5
VOLKSWAGEN2 (6.1%)
6
JEEP2 (6.1%)
7
LEXUS2 (6.1%)
8
HYUNDAI2 (6.1%)
9
VOLVO1 (3%)
10
FRHT1 (3%)

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

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

Sex Distribution (42 persons with recorded sex)

Female24 (57.1%)
118.2%prior 11
Male18 (42.9%)
-10.0%prior 20

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

Speed Limit Zones

While no fatalities were recorded within specific speed zones in either period, the distribution of crashes across speed limits changed. In January 2025, crashes were recorded across 25 mph, 30 mph, 35 mph, and 40 mph zones, totaling 8 crashes. In January 2026, crashes were observed only in 30 mph and 35 mph zones, totaling 7 crashes.

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

Data Coverage

  • Reporting period: 2026-01-01 through 2026-01-31 (31 days)
  • Geographic scope: MEDWAY, MA
  • Total crash records analyzed: 19
  • Total persons involved: 45
  • Total vehicles involved: 33

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