ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · FALL RIVER, MA · JUNE 2024
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-2024-report
Monthly Traffic Safety Analysis
240 CRASHES IN
FALL RIVER, MA
JUNE 2024
Current period (June 2024) recorded 240 total crashes, a slight decrease from the 241 crashes reported in the prior period (June 2023). This represents a minor 0.41% reduction in total crashes year-over-year. The most notable shift was a 200% increase in speeding-related crashes, rising from 3 in the prior period to 9 in the current period.
240
▼ -0.4%was 241
Total Crash Events
0
Persons Killed
71
▼ -27.6%was 98
Persons Injured
26
▼ -23.5%was 34
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. 13 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the total number of crashes remained relatively stable year-over-year, with a minor decrease of 1 crash, from 241 in June 2023 to 240 in June 2024, representing a 0.41% reduction. However, total injuries saw a more significant decline, decreasing by 27.55% from 98 in the prior period to 71 in the current period. Fatalities remained at zero in both periods.
26
Hit-and-Run Crashes — June 2024
▼ -23.5% vs prior (34)
Hit-and-run crashes decreased year-over-year, falling from 34 crashes in the prior period to 26 crashes in the current period, a reduction of 8 incidents. Consequently, the hit-and-run rate also decreased from 14.1% of total crashes in the prior period to 10.8% in the current period, a decline of 3.3 percentage points.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
0
Other Killed
5
Pedestrians Injured
65
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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, with Sunday becoming the peak day for crashes in the current period (40 crashes), compared to Thursday (48 crashes) in the prior period. Crashes on Thursday significantly decreased by 19, while Sunday crashes increased by 12. The peak hour for crashes remained consistent at 3 PM in both periods, with 27 crashes in the current period and 28 in the prior period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While no fatalities were recorded in either period, the overall number of injured persons decreased from 98 in the prior period to 71 in the current period, a 27.55% reduction. Specifically, minor injuries decreased from 77 persons to 49 persons, a 36.4% reduction. Serious injuries saw a slight increase from 6 persons to 7 persons, and possible injuries remained stable at 15 persons in the current period compared to 14 in the prior period.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record
Top Contributing Factors
The factor 'No improper driving' increased by 11 crashes, from 50 in the prior period to 61 in the current period, representing a 22.0% increase. Factors such as 'Failed to yield right of way' and 'Failure to keep in proper lane or running off road' saw notable decreases, falling by 11 crashes (from 25 to 14) and 8 crashes (from 17 to 9) respectively. 'Driving too fast for conditions' increased by 2 crashes, from 3 to 5, a 66.7% increase.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased from 145 in the prior period to 172 in the current period, while crashes in 'Rain' decreased from 12 to 7. There was also a notable shift in road surface conditions, with crashes on 'Dry' roads increasing by 19 (from 209 to 228) and crashes on 'Wet' roads decreasing by 19 (from 30 to 11). Crashes during 'Daylight' decreased by 10, while those in 'Dark - lighted roadway' increased by 6.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased slightly from 482 in the prior period to 469 in the current period. Honda surpassed Toyota as the most frequently involved vehicle make, with Honda crashes increasing from 53 to 67 (+14) and Toyota crashes decreasing from 75 to 60 (-15). The age distribution of persons involved in crashes shifted, with increases in younger age groups (e.g., 16-20 year-olds increased from 42 to 64) and decreases in older age groups (e.g., 55-64 year-olds decreased from 56 to 34).
Top Vehicle Makes (469 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records
96 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (440 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events
Speed Limit Zones
There were no fatal crashes reported in any speed zone during either period. Crashes occurring in 25 mph zones increased significantly from 60 in the prior period to 95 in the current period, an increase of 35 crashes. Conversely, crashes in 30 mph zones decreased from 125 to 79, a reduction of 46 crashes. Crashes in 65 mph zones also decreased from 19 to 14.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-06-01 through 2024-06-30 (30 days)
- Geographic scope: FALL RIVER, MA
- Total crash records analyzed: 240
- Total persons involved: 572
- Total vehicles involved: 469
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 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/fall-river/june-2024-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: 2024-06-01 – 2024-06-30
Generated: June 21, 2026 · All rights reserved