Monthly Traffic Safety Analysis

24 CRASHES IN
MELROSE, MA
JANUARY 2025

All metrics benchmarked againstJanuary 2024

In January 2025, Melrose experienced 24 crashes, marking a 26.3% increase from the 19 crashes reported in January 2024. The most significant shift was the rise in fatalities, from 0 in the prior year to 1 in the current period.

24

26.3%was 19

Total Crash Events

1

Persons Killed

4

-20.0%was 5

Persons Injured

2

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Melrose increased by 26.3% year-over-year, rising from 19 crashes in January 2024 to 24 crashes in January 2025. This period also saw a notable increase in fatalities, from 0 to 1, despite a 20% decrease in total injuries, from 5 to 4.

2

Hit-and-Run Crashes — January 2025

100.0% vs prior (1)

Hit-and-run crashes increased from 1 in January 2024 to 2 in January 2025. This resulted in the hit-and-run rate rising from 5.3% of all crashes in the prior period to 8.3% in the current period, indicating an upward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Pedestrians Injured

Prior: 0%

3

Motorists Injured

Prior: 5-40.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · 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 Thursday in January 2024, with 5 crashes, to Wednesday in January 2025, with 8 crashes. Similarly, the peak crash hour moved from 2 PM with 3 crashes in the prior period to 9 AM with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in January 2024 to 1 in January 2025, leading to a fatal crash rate of 4.2% in the current period compared to 0% previously. While the total number of crashes with injuries or fatalities remained stable at 4, the distribution shifted from 1 serious injury crash and 3 minor injury crashes in the prior year to 1 fatal crash, 2 minor injury crashes, and 1 possible injury crash in the current year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.2%
Minor Injury2minor injury crashes8.3%
-33.3%prior 3
Possible Injury1possible injury crashes4.2%
No Injury19no injury crashes79.2%
26.7%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' significantly increased from 5 in January 2024 to 10 in January 2025. 'Failed to yield right of way' also saw an increase, rising from 1 crash to 3 crashes year-over-year. Conversely, 'Inattention' decreased from 2 crashes in the prior period to 1 crash in the current period.

Officer-Reported Primary Contributing Cause

No improper driving10 (41.7%)100.0%prior 5
Other improper action4 (16.7%)
Failed to yield right of way3 (12.5%)
Followed too closely2 (8.3%)
Inattention1 (4.2%)
Disregarded traffic signs, signals, road markings1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The distribution of crash conditions showed several shifts: crashes on dry road surfaces increased from 11 to 15, and those on snow-covered roads rose from 2 to 7. In terms of lighting, crashes occurring in 'Dark - lighted roadway' conditions saw a substantial increase from 2 in January 2024 to 8 in January 2025, while crashes in daylight conditions slightly decreased from 14 to 13.

Weather

Clear13 (54.2%)
30.0%prior 10
Snow2 (8.3%)
Clear/Cloudy2 (8.3%)
Snow/Clear2 (8.3%)
Snow/Blowing sand, snow1 (4.2%)
Snow/Unknown1 (4.2%)
Clear/Severe crosswinds1 (4.2%)
Cloudy1 (4.2%)
-80.0%prior 5
Cloudy/Snow1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Weather condition at time of crash

Lighting

Daylight13 (54.2%)
-7.1%prior 14
Dark - lighted roadway8 (33.3%)
Dusk3 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Lighting condition field

Road Surface

Dry15 (62.5%)
36.4%prior 11
Snow7 (29.2%)
Wet2 (8.3%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (41 vehicles)

1
HONDA9 (22%)
50.0%prior 6
2
FORD7 (17.1%)
3
JEEP4 (9.8%)
-20.0%prior 5
4
CADI3 (7.3%)
5
SUBARU3 (7.3%)
6
HYUNDAI2 (4.9%)
7
TOYOTA2 (4.9%)
-75.0%prior 8
8
MAZDA2 (4.9%)
9
VOLKSWAGEN1 (2.4%)
10
CHEVROLET1 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Vehicle unit records

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

Sex Distribution (45 persons with recorded sex)

Male27 (60.0%)
17.4%prior 23
Female18 (40.0%)
0.0%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones increased from 17 in January 2024 to 19 in January 2025. While the number of crashes in 35 mph zones remained at 1 for both periods, the current period recorded 1 fatal crash in a 35 mph zone, whereas no fatalities occurred in this zone in the prior year. A new crash was also recorded in a 10 mph zone in January 2025, which had no crashes in the prior period.

Fatal crashes by zone: 35 mph: 1 of 1 (100%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · 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: 2025-01-01 through 2025-01-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-01-31 (31 days)
  • Geographic scope: MELROSE, MA
  • Total crash records analyzed: 24
  • Total persons involved: 51
  • Total vehicles involved: 41

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). "MELROSE, MA Crash Intelligence Report: January 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/melrose/january-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

ThatCarHitMe.com · An Injuria.ai Company

Melrose, MA Crash Report — January 2025 | ThatCarHitMe.com