Monthly Traffic Safety Analysis

417 CRASHES IN
WORCESTER, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, WORCESTER, MA experienced 417 total crashes, a decrease of 2.57% compared to the 428 crashes reported in July 2024. A notable shift is the reduction in total fatalities from 1 in the prior period to 0 in the current period. Despite the overall decrease in crashes, total injuries increased by 18.7%, from 139 to 165.

417

-2.6%was 428

Total Crash Events

0

-100.0%was 1

Persons Killed

165

18.7%was 139

Persons Injured

77

-6.1%was 82

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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in WORCESTER, MA saw a slight decline year-over-year, decreasing from 428 crashes in July 2024 to 417 crashes in July 2025, representing a 2.57% reduction. This period also saw a positive trend in fatality reduction, moving from 1 fatality in the prior year to 0 in the current year. However, total injuries increased by 18.7%, from 139 to 165, indicating a rise in injury-involved incidents.

77

Hit-and-Run Crashes — July 2025

-6.1% vs prior (82)

Hit-and-run crashes decreased from 82 incidents in July 2024 to 77 incidents in July 2025, a reduction of 5 crashes. The hit-and-run rate also saw a slight decrease, moving from 19.2% in the prior period to 18.5% in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

0

Other Killed

Prior: 00.0%

9

Pedestrians Injured

Prior: 580.0%

5

Cyclists Injured

Prior: 50.0%

148

Motorists Injured

Prior: 12716.5%

3

Other Injured

Prior: 250.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Tuesday in both periods, with 73 crashes recorded on that day in both July 2024 and July 2025. The peak hour also remained consistent at 5 PM, with crashes increasing slightly from 38 in July 2024 to 40 in July 2025. Notably, crashes on Fridays decreased from 60 to 40, while crashes on Thursdays increased from 49 to 69.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in July 2024 to 0 in July 2025, a positive change for traffic safety. However, total injuries rose from 139 to 165, an 18.7% increase year-over-year. Specifically, serious injuries (A) increased from 8 (1.9% share) to 9 (2.2% share), minor injuries (B) increased from 51 (11.9% share) to 64 (15.3% share), and possible injuries (C) increased from 32 (7.5% share) to 42 (10.1% share).

Outcome by Severity (Crash Events)

Serious Injury9serious injury crashes2.2%
12.5%prior 8
Minor Injury64minor injury crashes15.3%
25.5%prior 51
Possible Injury42possible injury crashes10.1%
31.3%prior 32
No Injury268no injury crashes64.3%
-4.3%prior 280

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' saw a significant increase in crash count, rising from 9 crashes in July 2024 to 29 crashes in July 2025, a 222.2% change. Conversely, 'No improper driving' decreased by 9 crashes, from 142 to 133, a 6.3% reduction. 'Disregarded traffic signs, signals, road markings' also saw a decrease of 6 crashes, from 23 to 17, a 26.1% reduction.

Officer-Reported Primary Contributing Cause

No improper driving133 (31.9%)-6.3%prior 142
Failed to yield right of way33 (7.9%)10.0%prior 30
Followed too closely29 (7%)222.2%prior 9
Disregarded traffic signs, signals, road markings17 (4.1%)-26.1%prior 23
Inattention14 (3.4%)-26.3%prior 19
Other improper action10 (2.4%)
Made an improper turn10 (2.4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner7 (1.7%)-12.5%prior 8
Failure to keep in proper lane or running off road5 (1.2%)-58.3%prior 12
Distracted4 (1%)-33.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions (including 'Clear/Clear') increased from 318 in July 2024 to 340 in July 2025, an increase of 22 crashes. Conversely, crashes in 'Cloudy' conditions (including 'Cloudy/Cloudy') decreased from 41 to 24, a reduction of 17 crashes. Crashes on 'Wet' road surfaces increased from 31 to 38, while those on 'Dry' surfaces decreased from 371 to 362.

Weather

Clear217 (53.3%)
-14.6%prior 254
Clear/Clear123 (30.2%)
92.2%prior 64
Cloudy21 (5.2%)
-44.7%prior 38
Cloudy/Rain11 (2.7%)
57.1%prior 7
Rain9 (2.2%)
12.5%prior 8
Rain/Cloudy9 (2.2%)
Unknown/Unknown4 (1.0%)
-20.0%prior 5
Clear/Cloudy4 (1.0%)
-60.0%prior 10
Rain/Rain4 (1.0%)
-20.0%prior 5
Cloudy/Cloudy3 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight322 (80.1%)
-3.9%prior 335
Dark - lighted roadway59 (14.7%)
1.7%prior 58
Dusk10 (2.5%)
100.0%prior 5
Dawn4 (1.0%)
Dark - roadway not lighted4 (1.0%)
Dark - unknown roadway lighting3 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry362 (90.0%)
-2.4%prior 371
Wet38 (9.5%)
22.6%prior 31
Sand, mud, dirt, oil, gravel1 (0.2%)
Snow1 (0.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased slightly from 845 in July 2024 to 833 in July 2025. Toyota remained the top make involved, though its count decreased from 171 to 157. Honda saw a notable increase in involvement, from 76 vehicles in July 2024 to 100 in July 2025. The age group 21-25 saw the largest increase in persons involved, rising from 112 to 131, while the 35-44 age group saw the largest decrease, from 165 to 147.

Top Vehicle Makes (833 vehicles)

1
TOYOTA157 (18.8%)
-8.2%prior 171
2
HONDA100 (12%)
31.6%prior 76
3
FORD70 (8.4%)
-4.1%prior 73
4
CHEVROLET55 (6.6%)
17.0%prior 47
5
NISSAN53 (6.4%)
12.8%prior 47
6
SUBARU42 (5%)
5.0%prior 40
7
JEEP40 (4.8%)
29.0%prior 31
8
HYUNDAI28 (3.4%)
0.0%prior 28
9
GMC24 (2.9%)
-4.0%prior 25
10
KIA19 (2.3%)
18.8%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

180 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (909 persons with recorded sex)

Male505 (55.6%)
-1.2%prior 511
Female404 (44.4%)
11.6%prior 362

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

There was a significant shift in crashes between speed zones; crashes in 25 mph zones increased from 28 in July 2024 to 302 in July 2025. Conversely, crashes in 30 mph zones decreased substantially from 312 to 41. The 30 mph zone had 1 fatal crash in the prior period (0.321% fatal rate), while no fatal crashes were recorded in any speed zone in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: WORCESTER, MA
  • Total crash records analyzed: 417
  • Total persons involved: 1,089
  • Total vehicles involved: 833

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 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/worcester/july-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

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Worcester, MA Crash Report — July 2025 | ThatCarHitMe.com