ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · METHUEN, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/methuen/2025-annual-report
Yearly Traffic Safety Analysis
1,231 CRASHES IN
METHUEN, MA
2025
In 2025, Methuen recorded 1,231 total traffic crashes, an increase of 7.1% from the 1,149 crashes reported in 2024. Despite the rise in total incidents, the number of fatalities saw a significant decrease, falling from 7 in the prior year to 2 in the current year. The total number of injuries also declined from 451 to 380.
1,231
▲ 7.1%was 1,149
Total Crash Events
2
▼ -71.4%was 7
Persons Killed
380
▼ -15.7%was 451
Persons Injured
65
▼ -1.5%was 66
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 11 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Methuen increased by 7.1% year-over-year, from 1,149 in 2024 to 1,231 in 2025. However, the severity of these incidents decreased, with total injuries falling by 15.7% and total fatalities dropping by 71.4% over the same period. This indicates a trend of more frequent but less severe collisions.
65
Hit-and-Run Crashes — 2025
▼ -1.5% vs prior (66)
The number of hit-and-run crashes remained nearly stable, with 65 incidents in 2025 compared to 66 in 2024. As a percentage of total crashes, the hit-and-run rate saw a slight decrease, falling from 5.7% in the prior year to 5.3% in the current year. This indicates a minor downward trend in the rate of drivers leaving the scene of a crash.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
6
Pedestrians Injured
1
Cyclists Injured
367
Motorists Injured
6
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between the two years. The peak time for crashes remained the 3 p.m. hour in both 2024 and 2025, with an increase in incidents during that hour from 106 to 114. However, the day with the most crashes changed from Friday (203 crashes) in the prior year to Tuesday (197 crashes) in the current year. Crashes on Wednesdays also saw a notable increase from 162 to 194.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased from 2024 to 2025. The number of fatal crashes fell from 5 to 2, and the proportion of crashes resulting in minor or possible injuries also declined. Specifically, minor injury crashes dropped from constituting 17.3% of all incidents to 13.5%. Correspondingly, the share of crashes with no reported injuries increased from 69.4% in the prior year to 75.5% in the current year.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The ranking of top contributing factors shifted between the two years. While 'Followed too closely' was the leading factor in 2024 with 220 incidents, its count decreased to 193 in 2025. Conversely, crashes attributed to 'Failed to yield right of way' increased by 21.7%, from 161 to 196 incidents. The number of crashes where 'No improper driving' was cited as a factor grew from 174 to 243, making it the most common primary factor listed in 2025.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
In both periods, the majority of crashes occurred during daylight hours (66.4% in 2025 vs. 68.4% in 2024) and on dry road surfaces (74.7% vs. 72.5%). There was a slight increase in the proportion of crashes occurring on wet roads, which accounted for 13.9% of incidents in 2025 compared to 11.7% in 2024. Similarly, crashes during rainy conditions rose from 8.8% to 10.5% of the total.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained consistent year-over-year, with Honda, Toyota, and Ford being the top three in both 2024 and 2025. Analysis of persons involved shows shifts in age demographics; the number of individuals in the 26-34 age group increased from 484 to 556, and the 65+ group grew from 250 to 297. Conversely, the 45-54 age group saw a decrease in involvement from 353 individuals to 334.
Top Vehicle Makes (2,415 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
261 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,795 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones saw some changes. Crashes in 35 mph zones decreased from 192 to 155, and incidents in 55 mph zones fell from 81 to 60. The number of crashes in the highest speed zone (65 mph) remained unchanged at 192. Fatalities in the 65 mph zone dropped from 3 in 2024 to 1 in 2025, while a new fatality was recorded in a 30 mph zone where none had occurred in the prior year.
Fatal crashes by zone: 30 mph: 1 of 291 (0.344%) · 65 mph: 1 of 192 (0.521%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: METHUEN, MA
- Total crash records analyzed: 1,231
- Total persons involved: 3,147
- Total vehicles involved: 2,415
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). "METHUEN, MA Crash Intelligence Report: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/methuen/2025-annual-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved