Monthly Traffic Safety Analysis

7 CRASHES IN
MIDDLETON, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

Total crashes in Middleton decreased by 30% year-over-year, from 10 crashes in March 2025 to 7 crashes in March 2026. While total fatalities remained at zero, the overall reduction in crash incidents is the most notable shift. Injuries remained stable at one person injured in both periods.

7

-30.0%was 10

Total Crash Events

0

Persons Killed

1

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Middleton show a significant downward trend, decreasing by 30% from 10 crashes in March 2025 to 7 crashes in March 2026. Fatalities remained stable at zero, and the total number of injured persons also remained unchanged at one in both periods. This indicates a general improvement in traffic safety metrics for the period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 10.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year. The peak day for crashes moved from Thursday, with 6 incidents in March 2025, to Tuesday, with 3 incidents in March 2026. Similarly, the peak crash hour shifted from 7 PM in the prior period to 2 PM in the current period, both recording 2 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities and fatal crashes remained at zero in both March 2025 and March 2026. The total number of injured persons also remained stable at one in both periods. However, the type of injury reported shifted from one minor injury in the prior period to one possible injury in the current period.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes14.3%
No Injury6no injury crashes85.7%
-33.3%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Inattention' remained constant at 4 crashes in both periods, though its share of total crashes increased from 40% in March 2025 to 57.1% in March 2026. 'No improper driving' increased from 2 crashes in the prior period to 3 crashes in the current period, with its share rising from 20% to 42.9%. Factors such as 'Failure to keep in proper lane or running off road' and 'Other improper action', each accounting for 1 crash in the prior period, were not observed in the current period.

Officer-Reported Primary Contributing Cause

Inattention4 (57.1%)
No improper driving3 (42.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather decreased from 7 in March 2025 to 4 in March 2026. 'Snow' conditions, including 'Snow/Blowing sand, snow', accounted for 2 crashes in the current period, which were not present in the prior period, while 'Rain' conditions (1 crash) from the prior period were not observed in the current period. Crashes on 'Dry' road surfaces decreased from 8 in the prior period to 3 in the current period, and crashes on 'Snow' surfaces appeared in the current period with 2 incidents, not present previously, while 'Wet' road crashes remained constant at 2 in both periods. Data for lighting conditions is unavailable for the current period, preventing a year-over-year comparison.

Weather

Clear4 (57.1%)
-33.3%prior 6
Cloudy1 (14.3%)
Snow1 (14.3%)
Snow/Blowing sand, snow1 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Road Surface

Dry3 (42.9%)
-62.5%prior 8
Snow2 (28.6%)
Wet2 (28.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (14 vehicles)

1
HONDA3 (21.4%)
-40.0%prior 5
2
NISSAN2 (14.3%)
3
FORD1 (7.1%)
4
LEXUS1 (7.1%)
5
LINC1 (7.1%)
6
MITS1 (7.1%)
7
SUBARU1 (7.1%)
8
TOYOTA1 (7.1%)
9
ACURA1 (7.1%)
10
VOLKSWAGEN1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

Sex Distribution (14 persons with recorded sex)

Female8 (57.1%)
-20.0%prior 10
Male6 (42.9%)
-60.0%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes at 30 mph remained stable at 2 in both March 2025 and March 2026. Crashes at 40 mph decreased from 4 in the prior period to 3 in the current period. The current period introduced 1 crash at 25 mph and 1 crash at 45 mph, which were not present in the prior period, while the prior period had 3 crashes at 35 mph and 1 crash at 65 mph that were not observed in the current period. All speed zones reported zero fatal crashes in both periods.

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

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: MIDDLETON, MA
  • Total crash records analyzed: 7
  • Total persons involved: 15
  • Total vehicles involved: 14

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