Monthly Traffic Safety Analysis

11 CRASHES IN
WINCHESTER, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

WINCHESTER experienced a slight decrease in total crashes, from 12 in February 2023 to 11 in February 2024, representing an 8.3% reduction. However, total injuries significantly increased by 150%, rising from 2 injuries in the prior period to 5 injuries in the current period, marking the most notable year-over-year shift.

11

-8.3%was 12

Total Crash Events

0

Persons Killed

5

150.0%was 2

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 · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight decrease in the number of crashes, with total crashes falling by 8.3% from 12 to 11. Conversely, total injuries saw a substantial increase of 150%, rising from 2 in February 2023 to 5 in February 2024.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

4

Motorists Injured

Prior: 2100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Wednesday in both periods, with 4 crashes each. However, the peak hour shifted from 3 PM with 4 crashes in February 2023 to 4 PM with 2 crashes in February 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either February 2023 or February 2024. The number of minor injury crashes increased from 1 in the prior period to 2 in the current period, and possible injury crashes also increased from 1 to 2. Overall, total injuries rose from 2 to 5, an increase of 150%.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes18.2%
100.0%prior 1
Possible Injury2possible injury crashes18.2%
100.0%prior 1
No Injury7no injury crashes63.6%
-30.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failed to yield right of way' decreased significantly, from 3 crashes in February 2023 to 1 crash in February 2024. 'No improper driving' increased from 1 crash to 2 crashes. Factors like 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' (2 crashes), 'Exceeded authorized speed limit' (1 crash), and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' (1 crash) were present in the prior period but not in the current period.

Officer-Reported Primary Contributing Cause

No improper driving2 (18.2%)
Failure to keep in proper lane or running off road1 (9.1%)
Followed too closely1 (9.1%)
Disregarded traffic signs, signals, road markings1 (9.1%)
Made an improper turn1 (9.1%)
Visibility obstructed1 (9.1%)
Glare1 (9.1%)
Failed to yield right of way1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions remained dominant, with 9 crashes occurring in 'Clear/Clear' conditions in the current period compared to 6 in the prior period. The number of crashes on wet road surfaces remained constant at 1 in both periods. Crashes during daylight hours slightly decreased from 10 to 9.

Weather

Clear/Clear9 (81.8%)
50.0%prior 6
Clear/Cloudy1 (9.1%)
Rain/Rain1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight9 (81.8%)
-10.0%prior 10
Dark - lighted roadway1 (9.1%)
Dusk1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry10 (90.9%)
-9.1%prior 11
Wet1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (21 vehicles)

1
TOYOTA4 (19%)
2
NISSAN3 (14.3%)
3
HONDA2 (9.5%)
4
ACURA2 (9.5%)
5
FORD2 (9.5%)
6
LINC1 (4.8%)
7
MAZDA1 (4.8%)
8
MERCURY1 (4.8%)
9
MNNI1 (4.8%)
10
JEEP1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

Sex Distribution (23 persons with recorded sex)

Female12 (52.2%)
71.4%prior 7
Male11 (47.8%)
-15.4%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones remained stable at 3 crashes in both periods. Crashes in 30 mph speed zones increased from 6 in February 2023 to 8 in February 2024. There were 3 crashes in 35 mph speed zones in the prior period, but none were recorded in this speed zone in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: WINCHESTER, MA
  • Total crash records analyzed: 11
  • Total persons involved: 23
  • Total vehicles involved: 21

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). "WINCHESTER, MA Crash Intelligence Report: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/winchester/february-2024-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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Winchester, MA Crash Report — February 2024 | ThatCarHitMe.com