Monthly Traffic Safety Analysis

57 CRASHES IN
REVERE, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, REVERE experienced 57 crashes, a substantial increase from 21 crashes in March 2024. This represents a 171.43% rise in total crashes year-over-year. While total crashes and injuries increased significantly, total fatalities decreased from 1 in the prior period to 0 in the current period.

57

171.4%was 21

Total Crash Events

0

-100.0%was 1

Persons Killed

20

400.0%was 4

Persons Injured

3

50.0%was 2

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant increase in crash activity, with total crashes rising from 21 in March 2024 to 57 in March 2025, a 171.43% increase. Total injuries also saw a substantial increase, from 4 to 20, representing a 400% rise year-over-year.

3

Hit-and-Run Crashes — March 2025

50.0% vs prior (2)

The number of hit-and-run crashes increased from 2 in March 2024 to 3 in March 2025. However, the hit-and-run rate relative to total crashes decreased from 9.5% in the prior period to 5.3% in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

5

Pedestrians Injured

Prior: 0%

14

Motorists Injured

Prior: 4250.0%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Saturday in both periods, increasing from 5 crashes in March 2024 to 13 crashes in March 2025. The peak hour for crashes shifted from 5 PM with 4 crashes in the prior period to 12 PM with 6 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in March 2024 to 0 in March 2025. Crashes resulting in minor injuries increased from 2 to 15, while serious injury crashes rose from 0 to 1 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.8%
Minor Injury15minor injury crashes26.3%
650.0%prior 2
Possible Injury1possible injury crashes1.8%
-50.0%prior 2
No Injury37no injury crashes64.9%
131.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes where 'No improper driving' was a factor saw a significant increase, rising from 1 in March 2024 to 12 in March 2025, an 1100% change. Conversely, crashes attributed to 'Followed too closely' decreased from 7 to 4, a 42.86% reduction in count. Factors like 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 to 4 crashes, while 'Driving too fast for conditions' and 'Exceeded authorized speed limit' were reported with 1 crash each in March 2024 but were not present in March 2025.

Officer-Reported Primary Contributing Cause

No improper driving12 (21.1%)
Followed too closely4 (7%)-42.9%prior 7
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (7%)
Disregarded traffic signs, signals, road markings3 (5.3%)
Distracted2 (3.5%)
Inattention2 (3.5%)
Made an improper turn2 (3.5%)
Failure to keep in proper lane or running off road2 (3.5%)
Failed to yield right of way2 (3.5%)
Other improper action2 (3.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 12 in March 2024 to 31 in March 2025, with combined 'Clear' and 'Clear/Clear' conditions totaling 41 crashes in the current period. Crashes on 'Dry' road surfaces increased from 15 to 45, and those in 'Daylight' conditions rose from 16 to 33 year-over-year.

Weather

Clear31 (55.4%)
158.3%prior 12
Clear/Clear10 (17.9%)
Cloudy/Rain2 (3.6%)
Clear/Other2 (3.6%)
Rain2 (3.6%)
Rain/Cloudy2 (3.6%)
Rain/Fog, smog, smoke2 (3.6%)
Fog, smog, smoke1 (1.8%)
Rain/Rain1 (1.8%)
Clear/Rain1 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight33 (58.9%)
106.3%prior 16
Dark - lighted roadway17 (30.4%)
Dawn2 (3.6%)
Dark - roadway not lighted2 (3.6%)
Dark - unknown roadway lighting1 (1.8%)
Dusk1 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry45 (80.4%)
200.0%prior 15
Wet11 (19.6%)
83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (108 vehicles)

1
HONDA15 (13.9%)
200.0%prior 5
2
NISSAN14 (13%)
3
TOYOTA12 (11.1%)
33.3%prior 9
4
FORD11 (10.2%)
57.1%prior 7
5
HYUNDAI8 (7.4%)
6
CHEVROLET6 (5.6%)
7
KIA5 (4.6%)
8
VOLKSWAGEN4 (3.7%)
9
MERCEDES-BENZ4 (3.7%)
10
ACURA3 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

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

Sex Distribution (133 persons with recorded sex)

Male78 (58.6%)
178.6%prior 28
Female55 (41.4%)
189.5%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones saw a substantial increase, rising from 1 in March 2024 to 26 in March 2025. Conversely, crashes in 35 mph zones decreased from 6 to 4, and the single fatal crash previously reported in a 35 mph zone was not observed in the current period. Crashes in 50 mph zones also decreased from 4 to 1.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: REVERE, MA
  • Total crash records analyzed: 57
  • Total persons involved: 151
  • Total vehicles involved: 108

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). "REVERE, MA Crash Intelligence Report: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/revere/march-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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Revere, MA Crash Report — March 2025 | ThatCarHitMe.com