Monthly Traffic Safety Analysis

131 CRASHES IN
METHUEN, MA
NOVEMBER 2022

All metrics benchmarked againstNovember 2021

In November 2022, METHUEN, MA experienced 131 total crashes, marking a 22.4% increase compared to the 107 crashes recorded in November 2021. Total injuries also rose from 36 to 44, a 22.2% increase. The most notable shift was the significant increase in crashes occurring in the 65 mph speed zone, which doubled from 14 to 28.

131

22.4%was 107

Total Crash Events

0

Persons Killed

44

22.2%was 36

Persons Injured

9

28.6%was 7

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 · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for November in METHUEN, MA indicates an increase in crash activity year-over-year. Total crashes rose by 22.4%, from 107 in November 2021 to 131 in November 2022. Similarly, total injuries increased by 22.2%, from 36 to 44, while total fatalities remained at 0 in both periods.

9

Hit-and-Run Crashes — November 2022

28.6% vs prior (7)

Hit-and-run crashes increased from 7 in November 2021 to 9 in November 2022, a 28.6% increase in count. The hit-and-run rate also saw a slight increase, rising from 6.5% to 6.9% of total crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

44

Motorists Injured

Prior: 3622.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes shifted between the two periods. In November 2021, the peak crash days were Saturday, Monday, and Friday, each with 17 crashes, while in November 2022, Tuesday became the peak day with 26 crashes. The peak hour also shifted from 3 p.m. with 14 crashes in 2021 to 5 p.m. with 16 crashes in 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities remained at 0 in both November 2021 and November 2022. Total injuries increased from 36 to 44 year-over-year. Serious injuries remained constant at 2 in both periods, while minor injuries more than doubled from 7 to 15, and possible injuries remained at 17.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes1.5%
0.0%prior 2
Minor Injury15minor injury crashes11.5%
114.3%prior 7
Possible Injury17possible injury crashes13%
0.0%prior 17
No Injury94no injury crashes71.8%
16.0%prior 81

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' crashes increased from 14 to 18, a 28.6% increase in count. 'Failed to yield right of way' crashes increased from 13 to 14, a 7.7% increase in count. Conversely, 'Failure to keep in proper lane or running off road' crashes decreased from 12 to 7, a 41.7% decrease in count.

Officer-Reported Primary Contributing Cause

Followed too closely19 (14.5%)-9.5%prior 21
No improper driving18 (13.7%)28.6%prior 14
Inattention16 (12.2%)-5.9%prior 17
Failed to yield right of way14 (10.7%)7.7%prior 13
Failure to keep in proper lane or running off road7 (5.3%)-41.7%prior 12
Driving too fast for conditions7 (5.3%)16.7%prior 6
Fatigued/asleep6 (4.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (3.8%)
Made an improper turn4 (3.1%)
Distracted4 (3.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear/Clear' weather conditions increased from 46 in November 2021 to 54 in November 2022. Crashes on 'Dry' road surfaces also increased from 90 to 102 year-over-year. Notably, crashes occurring in 'Dark - lighted roadway' conditions saw a substantial increase, rising from 29 to 48.

Weather

Clear/Clear54 (41.2%)
17.4%prior 46
Clear43 (32.8%)
22.9%prior 35
Rain11 (8.4%)
Cloudy8 (6.1%)
33.3%prior 6
Rain/Rain5 (3.8%)
Cloudy/Cloudy5 (3.8%)
0.0%prior 5
Cloudy/Rain4 (3.1%)
Rain/Cloudy1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash

Lighting

Daylight64 (48.9%)
1.6%prior 63
Dark - lighted roadway48 (36.6%)
65.5%prior 29
Dark - roadway not lighted9 (6.9%)
-25.0%prior 12
Dusk5 (3.8%)
Dark - unknown roadway lighting3 (2.3%)
Dawn2 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field

Road Surface

Dry102 (77.9%)
13.3%prior 90
Wet29 (22.1%)
123.1%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 200 to 248 year-over-year. Honda remained the top vehicle make involved, increasing from 42 to 51, and Toyota remained second, increasing from 29 to 38. The 26-34 and 35-44 age groups consistently had the highest number of persons involved in crashes in both periods.

Top Vehicle Makes (248 vehicles)

1
HONDA51 (20.6%)
21.4%prior 42
2
TOYOTA38 (15.3%)
31.0%prior 29
3
CHEVROLET28 (11.3%)
133.3%prior 12
4
FORD26 (10.5%)
52.9%prior 17
5
NISSAN19 (7.7%)
46.2%prior 13
6
JEEP11 (4.4%)
7
KIA10 (4%)
66.7%prior 6
8
BMW8 (3.2%)
9
DODGE6 (2.4%)
10
SUBARU6 (2.4%)
-14.3%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records

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

Sex Distribution (292 persons with recorded sex)

Male169 (57.9%)
37.4%prior 123
Female123 (42.1%)
8.8%prior 113

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed zone doubled from 14 in November 2021 to 28 in November 2022. Crashes in the 30 mph speed zone also increased from 25 to 31. No fatal crashes were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-11-01 through 2022-11-30 (30 days)
  • Geographic scope: METHUEN, MA
  • Total crash records analyzed: 131
  • Total persons involved: 311
  • Total vehicles involved: 248

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: November 2022." Published June 21, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/methuen/november-2022-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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Methuen, MA Crash Report — November 2022 | ThatCarHitMe.com