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YEAR-OVER-YEAR CRASH REPORT · FALL RIVER, MA · JUNE 2022
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/june-2022-report
Monthly Traffic Safety Analysis
243 CRASHES IN
FALL RIVER, MA
JUNE 2022
In June 2022, FALL RIVER, MA experienced 243 crashes, a significant increase of 68.75% compared to the 144 crashes recorded in June 2021. The most notable shift was the absence of fatalities in June 2022, down from 3 fatalities in the prior year, despite a substantial rise in total crashes and injuries. Total injuries also increased by 76.47%, from 51 to 90.
243
▲ 68.8%was 144
Total Crash Events
0
▼ -100.0%was 3
Persons Killed
90
▲ 76.5%was 51
Persons Injured
17
▲ 112.5%was 8
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. 6 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash activity in FALL RIVER, MA showed a clear upward trend year-over-year, with total crashes increasing from 144 in June 2021 to 243 in June 2022. This represents a 68.75% rise in crash incidents. While total injuries increased by 76.47%, a positive development was the absence of any fatalities in June 2022, compared to 3 in June 2021.
17
Hit-and-Run Crashes — June 2022
▲ 112.5% vs prior (8)
Hit-and-run crashes increased significantly year-over-year, rising from 8 incidents in June 2021 to 17 incidents in June 2022. This represents a 112.5% increase in the count of hit-and-run crashes. Consequently, the hit-and-run rate also increased from 5.6% of all crashes in June 2021 to 7% in June 2022, indicating an upward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
10
Pedestrians Injured
2
Cyclists Injured
78
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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 June 2022, Wednesday was the peak day for crashes with 45 incidents, replacing Friday which was the peak day in June 2021 with 27 crashes. The peak crash hour also shifted from 3 PM (12 crashes) in June 2021 to 5 PM (27 crashes) in June 2022.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased from 3 in June 2021 to 0 in June 2022, a 100% reduction, meaning the fatal crash rate dropped from 2.08% to 0%. While serious injury crashes (code A) decreased from 5 to 2, minor injury crashes (code B) increased from 19 to 42, and possible injury crashes (code C) increased from 9 to 20, indicating a shift towards a higher proportion of non-fatal injury crashes.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record
Top Contributing Factors
Contributing factors saw increases across the board, reflecting the overall rise in crashes. 'No improper driving' increased by 26 crashes (from 29 to 55), 'Failed to yield right of way' increased by 15 crashes (from 18 to 33), and 'Inattention' increased by 17 crashes (from 15 to 32). The top five contributing factors remained largely consistent in ranking, though 'Inattention' moved from fourth to third most frequent factor.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in clear weather conditions increased from 106 to 158, while those in rainy conditions increased from 7 to 10. The number of crashes on dry road surfaces rose from 133 to 228, and crashes on wet surfaces increased from 10 to 14. Crashes occurring during daylight hours increased from 106 to 190, and those in dark conditions with lighted roadways increased from 23 to 33.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 271 in June 2021 to 471 in June 2022, a 73.8% increase. Toyota remained the top vehicle make involved, increasing from 34 to 65, while Honda moved up to second place with 58 vehicles, surpassing Nissan. All age groups saw an increase in persons involved, with the 26-34 age group remaining the largest, increasing from 68 to 100 persons.
Top Vehicle Makes (471 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records
92 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (463 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 30 mph speed limit zone increased from 88 to 138, and crashes in the 25 mph zone saw a substantial rise from 6 to 41. The 65 mph zone also experienced a slight increase from 18 to 19 crashes. There were no fatalities recorded in any speed zone in June 2022, a decrease from 2 fatalities in the 30 mph zone and 1 fatality in the 55 mph zone in June 2021.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-06-01 through 2022-06-30 (30 days)
- Geographic scope: FALL RIVER, MA
- Total crash records analyzed: 243
- Total persons involved: 576
- Total vehicles involved: 471
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: June 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/fall-river/june-2022-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: 2022-06-01 – 2022-06-30
Generated: June 21, 2026 · All rights reserved