ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WORCESTER, MA · APRIL 2025
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/worcester/april-2025-report
Monthly Traffic Safety Analysis
443 CRASHES IN
WORCESTER, MA
APRIL 2025
In April 2025, WORCESTER experienced 443 crashes, a 4.11% decrease from the 462 crashes reported in April 2024. A significant positive shift was observed in fatalities, which decreased by 100% from 1 in the prior period to 0 in the current period, despite a 33.33% increase in total injuries from 102 to 136.
443
▼ -4.1%was 462
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
136
▲ 33.3%was 102
Persons Injured
70
▼ -23.1%was 91
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. 34 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the total number of crashes in WORCESTER saw a slight decrease year-over-year, falling by 4.11% from 462 crashes in April 2024 to 443 crashes in April 2025. This indicates a downward trend in overall crash frequency for the period.
70
Hit-and-Run Crashes — April 2025
▼ -23.1% vs prior (91)
The number of hit-and-run crashes decreased by 23.08%, falling from 91 incidents in April 2024 to 70 incidents in April 2025. This reduction also led to a decrease in the hit-and-run rate, which dropped from 19.7% of all crashes in the prior period to 15.8% in the current period, indicating a positive trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
10
Pedestrians Injured
2
Cyclists Injured
123
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 slightly year-over-year. In April 2025, the peak day for crashes was Wednesday with 87 incidents, differing from April 2024 where Tuesday saw the most crashes with 88 incidents. Similarly, the peak hour for crashes moved from 3 PM with 42 crashes in the prior period to 4 PM with 38 crashes in the current period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes decreased by 100%, with 0 fatal crashes in April 2025 compared to 1 in April 2024. However, the proportion of crashes resulting in serious injuries (Severity A) increased from 0.9% (4 crashes) to 2.9% (13 crashes) year-over-year. Minor injuries (Severity B) also saw an increase from 10.0% (46 crashes) to 12.9% (57 crashes), and possible injuries (Severity C) rose from 6.5% (30 crashes) to 8.1% (36 crashes).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record
Top Contributing Factors
Contributing factors saw notable shifts, with 'No improper driving' decreasing by 22 crashes from 157 to 135, a 14.0% reduction. 'Followed too closely' increased significantly by 18 crashes, from 14 to 32, and its rank among contributing factors rose from fourth to second. Conversely, 'Inattention' decreased by 15 crashes, from 25 to 10, dropping from the second most common factor to the sixth.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring in clear weather conditions increased from 65.4% (302 crashes) in April 2024 to 70.4% (312 crashes) in April 2025. Crashes on snowy road surfaces more than doubled, rising from 9 incidents (1.9%) to 19 incidents (4.3%). Concurrently, the number of crashes occurring in daylight conditions remained relatively stable at 335 in April 2025 compared to 342 in April 2024, while the proportion increased slightly from 74.0% to 75.6%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased by 4.36%, from 918 in April 2024 to 878 in April 2025. Among top vehicle makes, Honda saw an increase of 11 vehicles involved, rising from 96 to 107, which shifted its rank from third to second. Conversely, Ford saw a decrease of 21 vehicles involved, dropping from 99 to 78, moving its rank from second to third.
Top Vehicle Makes (878 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records
177 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (924 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events
Speed Limit Zones
A notable shift occurred in the distribution of crashes across speed zones, with crashes in the 25 mph zone dramatically increasing from 11 in April 2024 to 289 in April 2025. Conversely, crashes in the 30 mph zone saw a significant decrease, falling from 309 to 50. Furthermore, the 50 mph zone, which recorded 1 fatal crash in April 2024, had 0 fatal crashes in April 2025, despite an increase in total crashes in that zone from 26 to 35.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-04-01 through 2025-04-30 (30 days)
- Geographic scope: WORCESTER, MA
- Total crash records analyzed: 443
- Total persons involved: 1,107
- Total vehicles involved: 878
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). "WORCESTER, MA Crash Intelligence Report: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/worcester/april-2025-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: 2025-04-01 – 2025-04-30
Generated: June 21, 2026 · All rights reserved