Monthly Traffic Safety Analysis

21 CRASHES IN
MEDWAY, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, Medway recorded 21 total crashes, a decrease of 19.23% compared to the 26 crashes reported in December 2022. Total injuries also saw a significant reduction, falling by 50% from 8 injuries in the prior year to 4 injuries in the current period. This represents a notable improvement in overall crash and injury outcomes year-over-year.

21

-19.2%was 26

Total Crash Events

0

Persons Killed

4

-50.0%was 8

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. 4 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash activity in Medway, with total crashes falling by 19.23% from 26 in December 2022 to 21 in December 2023. Concurrently, total injuries decreased by 50%, from 8 to 4, suggesting a positive shift towards fewer and less severe incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 8-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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 Saturday with 5 crashes in December 2022 to Wednesday with 7 crashes in December 2023. While the peak hour remained 5p in both periods, the number of crashes during this hour decreased from 7 in December 2022 to 3 in December 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both December 2022 and December 2023. Total injuries decreased by 50%, from 8 in the prior period to 4 in the current period. December 2023 reported 1 serious injury crash (Severity A), which was not present in December 2022, while minor injury crashes (Severity B) decreased from 5 to 1.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.8%
Minor Injury1minor injury crashes4.8%
-80.0%prior 5
Possible Injury2possible injury crashes9.5%
0.0%prior 2
No Injury13no injury crashes61.9%
-23.5%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', remained constant at 7 crashes in both December 2022 and December 2023. 'Failed to yield right of way' also maintained 3 crashes in both periods. 'Inattention' crashes decreased by 50% in count, from 4 in December 2022 to 2 in December 2023.

Officer-Reported Primary Contributing Cause

No improper driving7 (33.3%)0.0%prior 7
Failed to yield right of way3 (14.3%)
Inattention2 (9.5%)
Other improper action2 (9.5%)
Made an improper turn1 (4.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under 'Clear/Clear' weather conditions decreased from 13 in December 2022 to 8 in December 2023. Similarly, crashes in 'Dark - lighted roadway' conditions decreased from 14 to 10 year-over-year. Crashes on 'Dry' road surfaces also saw a decrease, from 16 in December 2022 to 14 in December 2023.

Weather

Clear/Clear8 (38.1%)
-38.5%prior 13
Clear7 (33.3%)
16.7%prior 6
Rain3 (14.3%)
Clear/Cloudy1 (4.8%)
Rain/Cloudy1 (4.8%)
Rain/Severe crosswinds1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Dark - lighted roadway10 (47.6%)
-28.6%prior 14
Daylight9 (42.9%)
0.0%prior 9
Dark - roadway not lighted1 (4.8%)
Dusk1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry14 (66.7%)
-12.5%prior 16
Wet6 (28.6%)
-14.3%prior 7
Ice1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
TOYOTA10 (28.6%)
-16.7%prior 12
2
CHEVROLET5 (14.3%)
3
HONDA4 (11.4%)
4
GMC3 (8.6%)
5
HYUNDAI2 (5.7%)
6
NISSAN2 (5.7%)
7
FORD2 (5.7%)
-77.8%prior 9
8
MERCEDES-BENZ1 (2.9%)
9
STRN1 (2.9%)
10
LINC1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (34 persons with recorded sex)

Female17 (50.0%)
-5.6%prior 18
Male17 (50.0%)
-43.3%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 3 in December 2022 to 5 in December 2023. Conversely, crashes in the 35 mph speed zone decreased significantly from 8 to 3 year-over-year. The 40 mph speed zone maintained 2 crashes in both periods, with no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: MEDWAY, MA
  • Total crash records analyzed: 21
  • Total persons involved: 43
  • Total vehicles involved: 35

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: December 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/medway/december-2023-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

ThatCarHitMe.com · An Injuria.ai Company

Medway, MA Crash Report — December 2023 | ThatCarHitMe.com