ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · TAUNTON, MA · FEBRUARY 2026
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/taunton/february-2026-report
Monthly Traffic Safety Analysis
167 CRASHES IN
TAUNTON, MA
FEBRUARY 2026
Total crashes in February 2026 increased to 167, up from 151 in February 2025, representing a 10.6% rise year-over-year. This period saw a notable decrease in fatalities, dropping from 1 in the prior year to 0 in the current year. Injuries also saw a slight decrease, from 44 to 41, a 6.8% reduction.
167
▲ 10.6%was 151
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
41
▼ -6.8%was 44
Persons Injured
11
▼ -35.3%was 17
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. 4 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash incidents in TAUNTON, MA show an upward trend, with total crashes increasing by 10.6% from 151 in February 2025 to 167 in February 2026. Despite this rise in total crashes, there was a positive trend in severe outcomes, with fatalities decreasing from 1 to 0 and total injuries falling by 6.8% from 44 to 41.
11
Hit-and-Run Crashes — February 2026
▼ -35.3% vs prior (17)
Hit-and-run incidents decreased year-over-year, from 17 crashes in February 2025 to 11 crashes in February 2026. This represents a reduction in the hit-and-run rate from 11.3% to 6.6% of all crashes. The trend indicates a positive downward direction for hit-and-run incidents.
Vulnerable Road User Casualties
0
Motorists Killed
0
Other Killed
40
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted year-over-year. In February 2026, the peak day for crashes was Friday with 32 incidents, a change from Tuesday with 34 incidents in February 2025. The peak hour also changed, moving from 8 AM with 13 crashes in February 2025 to 1 PM with 21 crashes in February 2026.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased from 1 in February 2025 to 0 in February 2026, eliminating the 0.66% fatal crash rate from the prior year. Crashes resulting in any injury (Serious, Minor, or Possible) decreased from 32 (21.2% of total crashes) in February 2025 to 30 (18.0% of total crashes) in February 2026. The proportion of 'No Injury' crashes increased from 74.2% to 79.6% year-over-year.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors saw shifts year-over-year. 'No improper driving' incidents increased by 8 crashes, from 31 in February 2025 to 39 in February 2026, making it the top factor in the current period. Conversely, 'Inattention' incidents decreased by 8 crashes, from 38 to 30, and 'Followed too closely' incidents decreased by 5 crashes, from 17 to 12. Notably, 'Exceeded authorized speed limit' incidents increased from 1 to 3 crashes.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in clear weather conditions, including 'Clear' and 'Clear/Clear', increased from 116 in February 2025 to 123 in February 2026. Incidents during snowy conditions also rose, from 13 to 22 crashes. While crashes on dry road surfaces increased from 109 to 114, crashes on snowy surfaces saw a larger increase from 15 to 27, and crashes on wet surfaces decreased from 16 to 12.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Road surface condition field
Vehicles & Demographics
Among top vehicle makes involved in crashes, Toyota maintained its lead with 49 vehicles, up from 44 in the prior year. Jeep saw a substantial increase, rising from 6 vehicles in February 2025 to 23 in February 2026. Regarding person age groups, individuals aged 16-20 and 55-64 each saw an increase of 16 persons involved in crashes, while the 35-44 age group increased by 15 persons. Conversely, the 65+ age group saw a decrease of 7 persons involved.
Top Vehicle Makes (304 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Vehicle unit records
41 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (340 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 30 mph speed zone increased by 9, from 68 in February 2025 to 77 in February 2026. The 65 mph zone also saw a slight increase from 13 to 15 crashes. Notably, the single fatal crash reported in February 2025 occurred in a 65 mph zone, while no fatal crashes were recorded in any speed zone in February 2026. Crashes in the 25 mph zone decreased from 11 to 7, and in the 40 mph zone from 7 to 2.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · 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: 2026-02-01 through 2026-02-28
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2026-02-01 through 2026-02-28 (28 days)
- Geographic scope: TAUNTON, MA
- Total crash records analyzed: 167
- Total persons involved: 381
- Total vehicles involved: 304
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). "TAUNTON, MA Crash Intelligence Report: February 2026." Published June 21, 2026. Reporting period: 2026-02-01 to 2026-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/taunton/february-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2026-02-01 – 2026-02-28
Generated: June 21, 2026 · All rights reserved