ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WORCESTER, MA · 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/worcester/2024-annual-report
Yearly Traffic Safety Analysis
5,662 CRASHES IN
WORCESTER, MA
2024
In Worcester, total vehicle crashes increased by 9.4%, from 5,175 in 2023 to 5,662 in 2024. This rise was accompanied by an increase in both total injuries, from 1,470 to 1,677, and fatalities, which rose from 7 to 9. The most notable shift was a 38.7% increase in the count of crashes attributed to inattention.
5,662
▲ 9.4%was 5,175
Total Crash Events
9
▲ 28.6%was 7
Persons Killed
1,677
▲ 14.1%was 1,470
Persons Injured
1,100
▲ 1.7%was 1,082
Hit-and-Run Crashes
Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 691 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Worcester indicates a rising trend in both the frequency and severity of incidents year-over-year. Total crashes increased by 9.4% from 2023 to 2024. Concurrently, the number of people injured rose by 14.1%, and the number of fatalities increased from 7 to 9.
1,100
Hit-and-Run Crashes — 2024
▲ 1.7% vs prior (1,082)
The absolute number of hit-and-run crashes saw a slight increase from 1,082 in 2023 to 1,100 in 2024. However, due to the overall increase in total crashes, the hit-and-run rate trended downward. These incidents represented 19.4% of all crashes in 2024, a decrease from 20.9% in the prior year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
7
Motorists Killed
0
Other Killed
104
Pedestrians Injured
42
Cyclists Injured
1,516
Motorists Injured
15
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The daily and hourly patterns of crashes remained consistent between the two periods. Friday was the busiest day for crashes in both 2024 (914 incidents) and 2023 (823 incidents). Similarly, the 5 PM hour remained the peak time for collisions in both years, accounting for 504 crashes in 2024 and 461 in 2023.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes increased from 2023 to 2024, with fatal crashes rising from 7 to 9 and their share of all crashes increasing from 0.1% to 0.2%. While the count of serious injury crashes saw a slight decrease from 106 to 101, crashes resulting in minor injuries (561 to 629) and possible injuries (410 to 499) both increased. The proportion of crashes resulting in no injury also grew from 63.5% to 65.9%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
While "No improper driving" remained the most frequent finding in both periods, its count increased from 1,708 to 1,979. "Failed to yield right of way" was the second-most cited factor in both years with a stable count (310 in 2023 vs. 313 in 2024). Notably, crashes attributed to "Inattention" increased by 38.7% in count, from 168 to 233 incidents, moving it from the fifth to the third most common factor. Conversely, crashes involving "Followed too closely" decreased in count from 243 to 224.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in daylight and on dry roads increased in count but their proportion of total crashes remained similar year-over-year. In 2024, 65.6% of crashes occurred in daylight, compared to 62.8% in 2023. A notable shift occurred in crashes on adverse road surfaces; incidents on snowy roads increased from 92 to 233, and crashes on icy roads rose from 38 to 101.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes—Toyota, Honda, Ford, Nissan, and Chevrolet—were the same in both 2023 and 2024, with their rankings remaining consistent. The number of people involved in crashes increased across all reported age groups. The 26-34 age group remained the largest cohort in both periods, growing from 2,184 individuals in 2023 to 2,389 in 2024.
Top Vehicle Makes (11,166 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
2,417 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (11,158 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
A significant increase in the number of crashes with recorded speed limits was observed, from approximately 1,700 in 2023 to over 4,800 in 2024, suggesting a change in data collection practices. The majority of crashes in 2024 (2,930) occurred in 30 mph zones, which accounted for 5 fatalities, up from 4 fatalities in that zone in 2023. Fatalities in 50 mph zones also increased, from 1 in 2023 to 3 in 2024.
Fatal crashes by zone: 30 mph: 5 of 2,930 (0.171%) · 35 mph: 1 of 330 (0.303%) · 50 mph: 3 of 306 (0.98%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: WORCESTER, MA
- Total crash records analyzed: 5,662
- Total persons involved: 13,764
- Total vehicles involved: 11,166
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/worcester/2024-annual-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: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved