ThatCarHitMe.com
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YEAR-OVER-YEAR CRASH REPORT · FALL RIVER, MA · MARCH 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/fall-river/march-2026-report
Monthly Traffic Safety Analysis
227 CRASHES IN
FALL RIVER, MA
MARCH 2026
In March 2026, FALL RIVER experienced 227 total crashes, a decrease of 2.6% compared to the 233 crashes recorded in March 2025. The most notable year-over-year shift was a 75% reduction in serious injury crashes, which decreased from 4 to 1. Total injuries also saw a significant decline of 21.7%, from 69 to 54.
227
▼ -2.6%was 233
Total Crash Events
0
Persons Killed
54
▼ -21.7%was 69
Persons Injured
36
▼ -5.3%was 38
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. 14 crashes with unreported severity are not shown in the severity breakdown.
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
The overall trend indicates a slight decrease in total crashes, falling by 2.6% from 233 in March 2025 to 227 in March 2026. Concurrently, total injuries decreased by 21.7%, from 69 to 54, suggesting a positive trend in injury reduction. Fatalities remained at zero in both periods.
36
Hit-and-Run Crashes — March 2026
▼ -5.3% vs prior (38)
Hit-and-run crashes decreased from 38 in March 2025 to 36 in March 2026, a drop of 2 crashes or 5.3%. The hit-and-run rate also saw a slight decrease, falling from 16.3% to 15.9% year-over-year.
Vulnerable Road User Casualties
0
Motorists Killed
54
Motorists Injured
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 peak day for crashes remained Monday, with an increase from 49 crashes in March 2025 to 53 crashes in March 2026. The peak hour shifted from 4 p.m. (23 crashes) in the prior period to 3 p.m. (26 crashes) in the current period, while crashes at 4 p.m. decreased by 34.8% from 23 to 15.
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
The number of serious injury crashes (Severity A) decreased significantly from 4 in March 2025 to 1 in March 2026, a 75% reduction. Minor injury crashes (Severity B) also decreased from 37 to 31, a 16.2% drop, and possible injury crashes (Severity C) were halved from 12 to 6. Conversely, crashes with no injury (Severity O) increased by 4.2%, from 168 to 175.
Outcome by Severity (Crash Events)
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
Crashes attributed to 'No improper driving' increased by 19 counts (30.2%) from 63 to 82, and 'Inattention' increased by 9 counts (42.9%) from 21 to 30. Conversely, 'Failed to yield right of way' decreased by 6 counts (30%) from 20 to 14, and 'Failure to keep in proper lane or running off road' decreased by 2 counts (8.7%) from 23 to 21. The ranking of 'Inattention' rose from 3rd to 2nd, while 'Failure to keep in proper lane or running off road' dropped from 2nd to 3rd.
Officer-Reported Primary Contributing Cause
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 'Rain' conditions decreased by 6 counts (26.1%) from 23 to 17, and those in 'Clear/Cloudy' conditions decreased by 7 counts (31.8%) from 22 to 15. Crashes on 'Dry' road surfaces decreased by 36 counts (19.1%) from 188 to 152, while crashes on 'Wet' surfaces increased by 11 counts (27.5%) from 40 to 51. Notably, crashes on 'Ice' surfaces, which were not reported in the prior period, accounted for 14 crashes in the current period.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field
Vehicles & Demographics
The 26-34 age group saw a decrease of 20 persons (20%) involved in crashes, from 100 to 80. The 55-64 age group experienced a significant drop of 29 persons (46.8%), from 62 to 33, while the 65+ age group increased by 9 persons (20.5%), from 44 to 53. Among vehicle makes, TOYOTA increased by 18 vehicles (26.9%) from 67 to 85, and HONDA increased by 13 vehicles (32.5%) from 40 to 53, causing HONDA to overtake FORD in the top makes ranking.
Top Vehicle Makes (460 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records
130 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (413 persons with recorded sex)
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 in the 25 mph speed zone decreased by 9 counts (7.6%) from 119 to 110, while crashes in the 30 mph zone remained constant at 60. Crashes in the 65 mph zone increased by 2 counts (20%) from 10 to 12. There were no fatal crashes reported in any speed zone for either period.
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: FALL RIVER, MA
- Total crash records analyzed: 227
- Total persons involved: 561
- Total vehicles involved: 460
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). "FALL RIVER, 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/fall-river/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2026-03-01 – 2026-03-31
Generated: June 21, 2026 · All rights reserved