ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · RAYNHAM, MA · APRIL 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/raynham/april-2026-report
Monthly Traffic Safety Analysis
34 CRASHES IN
RAYNHAM, MA
APRIL 2026
In April 2026, RAYNHAM, MA recorded 34 crashes, a decrease from 38 crashes in April 2025, representing a 10.5% reduction. Despite fewer total crashes, total injuries increased by 33.3%, from 12 to 16. A significant shift was observed in collision types, with rear-end crashes increasing from 10 to 18, becoming the most frequent manner of collision.
34
▼ -10.5%was 38
Total Crash Events
0
Persons Killed
16
▲ 33.3%was 12
Persons Injured
2
▲ 100.0%was 1
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. 1 crash with unreported severity is not shown in the severity breakdown.
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
Total crashes decreased from 38 in April 2025 to 34 in April 2026, a reduction of 4 crashes or 10.5%. This indicates a downward trend in the total number of crashes year-over-year for the month of April.
2
Hit-and-Run Crashes — April 2026
▲ 100.0% vs prior (1)
Hit-and-run crashes increased from 1 in April 2025 to 2 in April 2026, representing a 100% increase in count. The hit-and-run rate consequently rose from 2.6% of all crashes in April 2025 to 5.9% in April 2026. This indicates an upward trend in hit-and-run incidents year-over-year.
Vulnerable Road User Casualties
0
Motorists Killed
16
Motorists Injured
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
In April 2026, the peak day for crashes shifted to Saturday with 9 incidents, compared to Sunday with 9 incidents in April 2025. The peak hour for crashes also shifted slightly, occurring at 4 PM with 5 crashes in April 2026, versus 3 PM with 5 crashes in April 2025. Notably, crashes on Sundays decreased from 9 to 1, while crashes on Tuesdays increased from 3 to 8 year-over-year.
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
There were no fatal crashes or fatalities reported in either April 2025 or April 2026. However, total injuries increased from 12 in April 2025 to 16 in April 2026, a 33.3% rise. A notable shift in severity is the presence of 1 crash with serious injury (affecting 2 persons) in April 2026, which was not observed in April 2025. The proportion of crashes resulting in no injury decreased from 76.3% to 67.6% year-over-year.
Outcome by Severity (Crash Events)
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
Inattention became the leading contributing factor in April 2026, increasing from 6 crashes in April 2025 to 9 crashes, a 50% rise in count. Conversely, Failed to yield right of way decreased from 8 crashes to 7 crashes, a 12.5% reduction. Followed too closely remained consistent at 5 crashes in both periods, while No improper driving increased by one incident, from 4 to 5 crashes. Factors such as Driving too fast for conditions and Disregarded traffic signs, signals, road markings, which had 2 crashes each in April 2025, were not reported in April 2026.
Officer-Reported Primary Contributing Cause
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 clear weather conditions increased from 23 in April 2025 to 28 in April 2026. Conversely, crashes during rainy conditions saw a substantial decrease, from 9 incidents in April 2025 to 3 in April 2026. This is reflected in a decrease of crashes on wet road surfaces, which dropped from 12 to 3 year-over-year. Crashes occurring in daylight decreased slightly from 33 to 30, while those in dark conditions (excluding dusk/dawn) decreased from 5 to 1.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 72 in April 2025 to 75 in April 2026. HONDA vehicles were involved in 16 crashes in April 2026, up from 10 in April 2025, making it the most frequent make. Concurrently, TOYOTA involvement decreased slightly from 11 to 10, and JEEP involvement dropped from 9 to 3. Regarding persons involved, the 16-20 age group saw a decrease from 15 to 8, while the 35-44 age group increased from 10 to 13, and the 65+ age group increased from 5 to 8.
Top Vehicle Makes (75 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records
3 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (88 persons with recorded sex)
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 30 mph speed zones increased from 3 incidents in April 2025 to 8 incidents in April 2026. Conversely, crashes in 45 mph zones decreased from 7 to 2, and in 50 mph zones from 5 to 3. The number of crashes in 65 mph zones remained constant at 11 in both periods. There were no crashes reported in 10 mph or 35 mph zones in April 2026, which had 1 and 3 crashes respectively in April 2025.
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: RAYNHAM, MA
- Total crash records analyzed: 34
- Total persons involved: 94
- Total vehicles involved: 75
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). "RAYNHAM, 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/raynham/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2026-04-01 – 2026-04-30
Generated: June 21, 2026 · All rights reserved