ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WORCESTER, MA · JULY 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/july-2024-report
Monthly Traffic Safety Analysis
428 CRASHES IN
WORCESTER, MA
JULY 2024
Worcester experienced a notable increase in total crashes in July 2024 compared to July 2023, rising from 379 to 428 crashes, an increase of 12.9%. This period also saw one fatality, whereas no fatalities were recorded in the same month last year. The most significant year-over-year shift is the occurrence of a fatal crash in July 2024.
428
▲ 12.9%was 379
Total Crash Events
1
Persons Killed
139
▼ -2.1%was 142
Persons Injured
82
▲ 2.5%was 80
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 56 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash activity in Worcester increased year-over-year, with total crashes rising by 12.9% from 379 to 428. A significant change was the increase in total fatalities from 0 in July 2023 to 1 in July 2024. Total injuries saw a slight decrease of 2.1%, from 142 to 139.
82
Hit-and-Run Crashes — July 2024
▲ 2.5% vs prior (80)
The number of hit-and-run crashes saw a slight increase of 2.5%, rising from 80 in July 2023 to 82 in July 2024. Despite this increase in count, the overall hit-and-run rate decreased from 21.1% of total crashes in the prior period to 19.2% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
5
Pedestrians Injured
5
Cyclists Injured
127
Motorists Injured
2
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Monday and Wednesday (63 crashes each) in July 2023 to Monday and Tuesday (73 crashes each) in July 2024. The peak hour for crashes also changed, moving from 12 PM and 3 PM (30 crashes each) in the prior period to 5 PM (38 crashes) in the current period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The most significant change in crash severity was the increase in fatal crashes from 0 in July 2023 to 1 in July 2024. While total injuries decreased slightly, the share of serious injury crashes (severity 'A') decreased from 3.7% (14 crashes) to 1.9% (8 crashes). Minor injury crashes (severity 'B') also saw a decrease in share, from 15.3% (58 crashes) to 11.9% (51 crashes).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record
Top Contributing Factors
Among contributing factors, 'No improper driving' increased from 130 to 142 crashes, a 9.2% increase in count. 'Failed to yield right of way' saw a substantial increase of 66.7%, rising from 18 crashes to 30 crashes. 'Inattention' also increased significantly, nearly doubling from 10 crashes to 19 crashes, a 90% increase in count.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased from 227 to 254 year-over-year. Crashes during 'Rain' decreased from 29 to 8, while crashes on 'Wet' road surfaces decreased from 63 to 31. The proportion of crashes occurring in 'Daylight' conditions increased, with counts rising from 260 to 335.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field
Vehicles & Demographics
The total number of persons involved in crashes increased from 892 to 1046 year-over-year. The 26-34 age group remained the most represented, with 188 persons in July 2023 and 182 in July 2024. Toyota continued to be the most frequently involved vehicle make in both periods, with its count increasing from 135 to 171.
Top Vehicle Makes (845 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records
156 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (873 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events
Speed Limit Zones
The 30 mph speed limit zone continued to have the highest number of crashes in both periods, increasing from 79 crashes in July 2023 to 312 crashes in July 2024. Notably, the single fatal crash in July 2024 occurred within a 30 mph speed zone, whereas no fatal crashes were recorded in any speed zone in July 2023.
Fatal crashes by zone: 30 mph: 1 of 312 (0.321%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-07-01 through 2024-07-31 (31 days)
- Geographic scope: WORCESTER, MA
- Total crash records analyzed: 428
- Total persons involved: 1,046
- Total vehicles involved: 845
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: July 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/worcester/july-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: 2024-07-01 – 2024-07-31
Generated: June 21, 2026 · All rights reserved