Monthly Traffic Safety Analysis

17 CRASHES IN
MIDDLETON, MA
FEBRUARY 2025

All metrics benchmarked againstFebruary 2024

MIDDLETON experienced a significant increase in crash activity in February 2025 compared to February 2024, with total crashes rising from 7 to 17, a 142.86% increase. Despite this rise in crash volume, fatalities remained at 0 in both periods. The most notable year-over-year shift is the substantial increase in the total number of crashes.

17

142.9%was 7

Total Crash Events

0

Persons Killed

2

-33.3%was 3

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in MIDDLETON showed a substantial upward trend, increasing by 142.86% from 7 crashes in February 2024 to 17 crashes in February 2025. This indicates a significant rise in traffic incidents year-over-year for the month.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 3-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted notably year-over-year. In February 2024, the peak day for crashes was Thursday with 3 incidents, while in February 2025, Sunday became the peak day with 4 crashes. The peak hour for crashes also shifted from 4 PM with 2 incidents in the prior period to 3 PM with 3 incidents in the current period, indicating a change in the busiest times for crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both February 2024 and February 2025. Despite a significant increase in total crashes, the number of total injuries decreased from 3 in February 2024 to 2 in February 2025. The proportion of crashes resulting in any injury decreased from 28.6% (2 out of 7 crashes) in the prior period to 11.8% (2 out of 17 crashes) in the current period, indicating a lower injury rate per crash this year.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes11.8%
100.0%prior 1
No Injury15no injury crashes88.2%
200.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record

Top Contributing Factors

The contributing factors show some shifts year-over-year. Crashes attributed to 'Inattention' increased from 1 in February 2024 to 4 in February 2025, while 'No improper driving' also saw an increase from 2 to 4 crashes. 'Followed too closely' remained consistent with 1 crash in both periods. The factor 'Distracted' was present in the prior period with 1 crash but did not appear among the top factors in the current period.

Officer-Reported Primary Contributing Cause

Inattention4 (23.5%)
No improper driving4 (23.5%)
Followed too closely1 (5.9%)
Other improper action1 (5.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5.9%)
Made an improper turn1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Data for weather and road surface conditions were not available for comparison across both periods. For lighting conditions, crashes occurring in 'Daylight' increased from 6 in February 2024 to 13 in February 2025. Incidents in 'Dark - lighted roadway' also rose from 1 to 3 crashes year-over-year.

Weather

Clear10 (58.8%)
Cloudy2 (11.8%)
Snow2 (11.8%)
Clear/Cloudy1 (5.9%)
Rain1 (5.9%)
Snow/Blowing sand, snow1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash

Lighting

Daylight13 (76.5%)
116.7%prior 6
Dark - lighted roadway3 (17.6%)
Dawn1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field

Road Surface

Dry9 (52.9%)
Snow4 (23.5%)
Wet4 (23.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (32 vehicles)

1
JEEP7 (21.9%)
2
TOYOTA5 (15.6%)
3
HONDA3 (9.4%)
4
CHEVROLET3 (9.4%)
5
RAM3 (9.4%)
6
VOLKSWAGEN2 (6.3%)
7
NISSAN2 (6.3%)
8
DODGE1 (3.1%)
9
KIA1 (3.1%)
10
MITS1 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records

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

Sex Distribution (33 persons with recorded sex)

Male19 (57.6%)
171.4%prior 7
Female14 (42.4%)
100.0%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crash distribution across speed zones shifted year-over-year, with incidents in the 40 mph zone seeing a notable increase from 2 crashes in February 2024 to 7 crashes in February 2025. Crashes in the 35 mph zone also rose from 2 to 4, while the 30 mph zone saw a decrease from 3 to 2 crashes. Additionally, crashes were reported in the 25 mph (1 crash) and 45 mph (3 crashes) zones in February 2025, which were not present in the prior period's data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-02-01 through 2025-02-28 (28 days)
  • Geographic scope: MIDDLETON, MA
  • Total crash records analyzed: 17
  • Total persons involved: 34
  • Total vehicles involved: 32

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). "MIDDLETON, MA Crash Intelligence Report: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/middleton/february-2025-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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Middleton, MA Crash Report — February 2025 | ThatCarHitMe.com