Monthly Traffic Safety Analysis

3 CRASHES IN
LINCOLN, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

In March 2025, LINCOLN, MA experienced 3 total crashes, a significant decrease of 76.9% compared to the 13 crashes reported in March 2024. The most notable year-over-year shift is the absence of any injuries in the current period, down from 3 injuries in the prior period.

3

-76.9%was 13

Total Crash Events

0

Persons Killed

0

-100.0%was 3

Persons Injured

0

-100.0%was 1

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

Overall crash data for March shows a substantial downward trend in LINCOLN, MA. Total crashes decreased by 76.9%, from 13 in March 2024 to 3 in March 2025. Concurrently, total injuries fell from 3 to 0, representing a 100% reduction.

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In March 2025, the peak day for crashes was Friday with 2 incidents, whereas in March 2024, both Friday and Saturday saw the highest number of crashes, each with 3 incidents. The peak hour for crashes also changed, with March 2025 showing 1 crash at 4 PM, while March 2024 recorded 3 crashes at 3 PM.

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)

Top Contributing Factors

The contributing factors observed in March 2025 differed from the prior year. Factors such as 'Distracted' (1 crash) and 'Driving too fast for conditions' (1 crash) appeared in the current period, while they were not listed as top factors in March 2024. Conversely, factors like 'Failed to yield right of way' (5 crashes) and 'Followed too closely' (2 crashes) were prominent in March 2024 but absent in March 2025. The factor 'No improper driving' remained constant with 1 crash in both periods.

Officer-Reported Primary Contributing Cause

Distracted1 (33.3%)
Driving too fast for conditions1 (33.3%)
No improper driving1 (33.3%)

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

Regarding weather conditions, crashes occurring during 'Cloudy/Rain' or 'Rain' conditions remained stable at 2 crashes in both March 2024 and March 2025. However, the proportion of crashes on wet road surfaces increased significantly, accounting for 2 out of 3 crashes (66.7% share) in March 2025, compared to 2 out of 13 crashes (15.4% share) in March 2024. Data for lighting conditions in March 2024 is unavailable, preventing a year-over-year comparison for this category.

Weather

Clear/Severe crosswinds1 (33.3%)
Cloudy/Rain1 (33.3%)
Rain1 (33.3%)

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

Lighting

Daylight2 (66.7%)
Dark - lighted roadway1 (33.3%)

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

Road Surface

Wet2 (66.7%)
Dry1 (33.3%)
-90.0%prior 10

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 (4 vehicles)

1
FORD2 (50%)
2
CHEVROLET1 (25%)
3
MAZDA1 (25%)

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

Sex Distribution (6 persons with recorded sex)

Female3 (50.0%)
-75.0%prior 12
Male3 (50.0%)
-83.3%prior 18

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

The distribution of crashes across speed zones saw some changes year-over-year. Crashes in 25 mph zones decreased from 2 in March 2024 to 1 in March 2025, while crashes in 45 mph zones increased from 1 to 2 during the same period. Notably, no crashes were recorded in 30 mph, 35 mph, or 55 mph zones in March 2025, which collectively accounted for 8 crashes in March 2024.

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: LINCOLN, MA
  • Total crash records analyzed: 3
  • Total persons involved: 6
  • Total vehicles involved: 4

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). "LINCOLN, 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/lincoln/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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Lincoln, MA Crash Report — March 2025 | ThatCarHitMe.com