Monthly Traffic Safety Analysis

140 CRASHES IN
METHUEN, MA
JANUARY 2024

All metrics benchmarked againstJanuary 2023

In January 2024, METHUEN experienced 140 total crashes, an increase from 114 crashes in January 2023, representing a 22.8% rise year-over-year. A notable shift was the significant increase in total injuries, which more than doubled from 29 to 62 during the same period. Fatalities remained at zero for both periods.

140

22.8%was 114

Total Crash Events

0

Persons Killed

62

113.8%was 29

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in METHUEN increased year-over-year, with total crashes rising from 114 in January 2023 to 140 in January 2024, an increase of 22.8%. This indicates an upward trend in crash incidents for the month.

9

Hit-and-Run Crashes — January 2024

28.6% vs prior (7)

Hit-and-run crashes increased from 7 in January 2023 to 9 in January 2024. The hit-and-run rate also saw a slight increase, moving from 6.1% to 6.4% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

61

Motorists Injured

Prior: 29110.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · 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 Monday and Friday (22 crashes each) in January 2023 to Tuesday (30 crashes) in January 2024. The peak hour for crashes also changed significantly, moving from 12 AM (65 crashes) in the prior period to 3 PM (14 crashes) in the current period, suggesting a shift in high-frequency crash times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either January 2023 or January 2024. However, total injuries increased substantially from 29 to 62, representing a 113.8% rise. Crashes resulting in any injury (serious, minor, or possible) also increased, accounting for 35% of all crashes in the current period compared to 19.3% in the prior period.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes1.4%
0.0%prior 2
Minor Injury27minor injury crashes19.3%
285.7%prior 7
Possible Injury20possible injury crashes14.3%
53.8%prior 13
No Injury90no injury crashes64.3%
-2.2%prior 92

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', increased by 9 crashes, from 19 to 28. 'Failure to keep in proper lane or running off road' saw a 100% increase in count, rising from 7 to 14 crashes. Conversely, 'Driving too fast for conditions' decreased by 5 crashes, from 15 to 10.

Officer-Reported Primary Contributing Cause

No improper driving28 (20%)47.4%prior 19
Failed to yield right of way21 (15%)40.0%prior 15
Followed too closely19 (13.6%)11.8%prior 17
Failure to keep in proper lane or running off road14 (10%)100.0%prior 7
Driving too fast for conditions10 (7.1%)-33.3%prior 15
Inattention9 (6.4%)50.0%prior 6
Disregarded traffic signs, signals, road markings7 (5%)
Other improper action5 (3.6%)
Exceeded authorized speed limit5 (3.6%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 21 to 51, while crashes during 'Snow' conditions rose from 7 to 21. Regarding road surface, crashes on 'Dry' roads increased from 51 to 69, but crashes on 'Wet' roads decreased from 43 to 19. Crashes during 'Daylight' hours increased from 57 to 79.

Weather

Clear51 (40.2%)
142.9%prior 21
Snow21 (16.5%)
200.0%prior 7
Clear/Clear13 (10.2%)
-59.4%prior 32
Cloudy13 (10.2%)
116.7%prior 6
Snow/Snow6 (4.7%)
-40.0%prior 10
Rain6 (4.7%)
-14.3%prior 7
Snow/Sleet, hail (freezing rain or drizzle)5 (3.9%)
Rain/Snow2 (1.6%)
Rain/Cloudy2 (1.6%)
Cloudy/Cloudy2 (1.6%)
-75.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Weather condition at time of crash

Lighting

Daylight79 (56.4%)
38.6%prior 57
Dark - lighted roadway38 (27.1%)
-7.3%prior 41
Dark - roadway not lighted19 (13.6%)
26.7%prior 15
Dawn3 (2.1%)
Dusk1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Lighting condition field

Road Surface

Dry69 (57.5%)
35.3%prior 51
Snow26 (21.7%)
73.3%prior 15
Wet19 (15.8%)
-55.8%prior 43
Ice4 (3.3%)
Sand, mud, dirt, oil, gravel1 (0.8%)
Slush1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 206 to 262, a 27.2% rise year-over-year. While Honda was the top make in the prior period, Toyota became the most frequently involved make in the current period, increasing from 27 to 43 vehicles. The age group 45-54 saw a significant increase in persons involved, rising from 23 to 45.

Top Vehicle Makes (262 vehicles)

1
TOYOTA43 (16.4%)
59.3%prior 27
2
HONDA41 (15.6%)
-4.7%prior 43
3
FORD28 (10.7%)
40.0%prior 20
4
CHEVROLET18 (6.9%)
38.5%prior 13
5
NISSAN15 (5.7%)
36.4%prior 11
6
JEEP12 (4.6%)
20.0%prior 10
7
ACURA10 (3.8%)
25.0%prior 8
8
SUBARU9 (3.4%)
9
KIA7 (2.7%)
10
MERCEDES-BENZ7 (2.7%)
40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Vehicle unit records

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

Sex Distribution (287 persons with recorded sex)

Male172 (59.9%)
30.3%prior 132
Female115 (40.1%)
13.9%prior 101

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones increased from 29 to 38, and those in 65 mph zones rose from 13 to 19. Conversely, crashes in 40 mph zones decreased from 9 to 1. There were no fatal crashes reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · 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: 2024-01-01 through 2024-01-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-01-31 (31 days)
  • Geographic scope: METHUEN, MA
  • Total crash records analyzed: 140
  • Total persons involved: 332
  • Total vehicles involved: 262

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: January 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/methuen/january-2024-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 — January 2024 | ThatCarHitMe.com