Monthly Traffic Safety Analysis

6 CRASHES IN
TEWKSBURY, MA
APRIL 2026

All metrics benchmarked againstApril 2025

Total crashes in TEWKSBURY for April 2026 decreased significantly to 6, down from 40 crashes in April 2025, representing an 85% reduction. The most notable year-over-year shift is the absence of fatalities in April 2026, compared to 1 fatality in April 2025.

6

-85.0%was 40

Total Crash Events

0

-100.0%was 1

Persons Killed

1

-87.5%was 8

Persons Injured

1

-50.0%was 2

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 · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in TEWKSBURY showed a substantial downward trend year-over-year, decreasing from 40 crashes in April 2025 to 6 crashes in April 2026, an 85% decline. Total injuries also decreased from 8 to 1, and total fatalities dropped from 1 to 0 during the same period.

1

Hit-and-Run Crashes — April 2026

-50.0% vs prior (2)

The number of hit-and-run crashes decreased from 2 in April 2025 to 1 in April 2026. Despite this decrease in count, the hit-and-run rate increased from 5% of all crashes in April 2025 to 16.7% in April 2026 due to the overall reduction in total crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

1

Motorists Injured

Prior: 8-87.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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 significantly, with April 2026 having very few crashes distributed throughout the week and day. In April 2025, the peak day for crashes was Thursday with 7 incidents, and the peak hour was 1 PM with 5 incidents, whereas in April 2026, the peak day was Friday with 2 crashes and the peak hour was 9 PM with 1 crash.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution changed notably year-over-year, with no fatal crashes reported in April 2026 compared to 1 fatal crash in April 2025. The total number of injured persons decreased from 8 in April 2025 to 1 in April 2026, with the injury in the current period being classified as 'Possible Injury' (16.7% of crashes) compared to a mix of serious, minor, and possible injuries in the prior period.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes16.7%
No Injury5no injury crashes83.3%
-84.4%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased from 9 in April 2025 to 2 in April 2026. Crashes related to 'Followed too closely' also saw a reduction from 2 to 1, while 'Driving too fast for conditions' remained at 1 crash in both periods. Several factors prominent in April 2025, such as 'Inattention' (7 crashes) and 'Failed to yield right of way' (7 crashes), were not reported in April 2026.

Officer-Reported Primary Contributing Cause

No improper driving2 (33.3%)-77.8%prior 9
Driving too fast for conditions1 (16.7%)
Followed too closely1 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions decreased from 30 in April 2025 to 3 in April 2026. Similarly, crashes on 'Dry' road surfaces decreased from 31 to 5, and crashes in 'Clear' or 'Clear/Clear' weather conditions decreased from 26 to 5. Crashes in 'Dark - lighted roadway' conditions also decreased from 6 to 1 year-over-year.

Weather

Clear/Clear4 (66.7%)
Clear1 (16.7%)
-95.8%prior 24
Rain/Rain1 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight3 (50.0%)
-90.0%prior 30
Dark - lighted roadway1 (16.7%)
-83.3%prior 6
Dark - roadway not lighted1 (16.7%)
Dusk1 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Road Surface

Dry5 (83.3%)
-83.9%prior 31
Wet1 (16.7%)
-87.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (10 vehicles)

1
BUIC1 (10%)
2
FORD1 (10%)
-87.5%prior 8
3
FRHT1 (10%)
4
HONDA1 (10%)
-90.9%prior 11
5
JEEP1 (10%)
6
KIA MOTORS CORP1 (10%)
7
MAZDA1 (10%)
8
NISSAN1 (10%)
9
TOYOTA1 (10%)
-92.3%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (9 persons with recorded sex)

Male7 (77.8%)
-87.7%prior 57
Female2 (22.2%)
-91.3%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed zone remained constant at 6 incidents in both April 2025 and April 2026, with no fatalities reported in this zone during either period. However, crashes previously occurring in 5 mph, 25 mph, 30 mph, 35 mph, and 40 mph speed zones in April 2025 were not reported in April 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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: 2026-04-01 through 2026-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: TEWKSBURY, MA
  • Total crash records analyzed: 6
  • Total persons involved: 12
  • Total vehicles involved: 10

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). "TEWKSBURY, MA Crash Intelligence Report: April 2026." Published June 21, 2026. Reporting period: 2026-04-01 to 2026-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/tewksbury/april-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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Tewksbury, MA Crash Report — April 2026 | ThatCarHitMe.com