Monthly Traffic Safety Analysis

11 CRASHES IN
WARE, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, WARE experienced 11 total crashes, an 8.3% decrease from the 12 crashes recorded in August 2024. Despite this reduction in overall crash volume, total injuries significantly increased by 200%, rising from 1 in the prior period to 3 in the current period. This shift towards more injurious outcomes marks a critical change in the crash landscape.

11

-8.3%was 12

Total Crash Events

0

Persons Killed

3

200.0%was 1

Persons Injured

0

Fatal Crash Events

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 · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash volume in WARE decreased by 8.3%, from 12 crashes in August 2024 to 11 in August 2025. Fatalities remained unchanged at 0 for both periods. However, total injuries rose substantially by 200%, from 1 injury in August 2024 to 3 injuries in August 2025, indicating a concerning increase in injury severity despite fewer overall incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 1200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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 Thursday (3 incidents) in August 2024 to Saturday (3 incidents) in August 2025. Similarly, the peak hour for crashes in August 2025 was 3 p.m. with 3 incidents, whereas August 2024 had peak activity at both 1 p.m. and 4 p.m., each with 3 incidents. This indicates a shift in the timing and day of the week for peak crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2024 and August 2025. Total injuries increased from 1 in the prior period to 3 in the current period, a 200% rise. August 2025 recorded 1 serious injury crash (9.1% of crashes) and 1 minor injury crash (9.1% of crashes), a change from August 2024 which reported 1 possible injury crash (8.3% of crashes) but no serious or minor injury crashes.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes9.1%
Minor Injury1minor injury crashes9.1%
No Injury8no injury crashes72.7%
-27.3%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

The factor "No improper driving" and "Inattention" remained consistent, each contributing to 3 and 2 crashes respectively across both periods. Notably, "Failed to yield right of way" decreased from 3 crashes in August 2024 to 0 in August 2025. Conversely, "Made an improper turn" and "Exceeded authorized speed limit" emerged in August 2025 with 2 and 1 crashes respectively, having been absent in the prior year.

Officer-Reported Primary Contributing Cause

No improper driving3 (27.3%)
Inattention2 (18.2%)
Made an improper turn2 (18.2%)
Exceeded authorized speed limit1 (9.1%)
Followed too closely1 (9.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (9.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions remained dominant, accounting for 9 crashes in both August 2024 and August 2025. Crashes occurring in dark conditions saw an increase in August 2025, with 2 incidents in "Dark - lighted roadway" and 2 in "Dark - roadway not lighted." This contrasts with August 2024, which reported only 1 crash in "Dark - lighted roadway."

Weather

Clear9 (81.8%)
0.0%prior 9
Clear/Clear2 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight7 (63.6%)
-36.4%prior 11
Dark - lighted roadway2 (18.2%)
Dark - roadway not lighted2 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (18 vehicles)

1
TOYOTA4 (22.2%)
2
FORD3 (16.7%)
3
JEEP2 (11.1%)
4
KIA2 (11.1%)
5
MAZDA1 (5.6%)
6
YAMA1 (5.6%)
7
CHEVROLET1 (5.6%)
8
YAMAHA MOTOR CO1 (5.6%)
9
CHRYSLER1 (5.6%)
10
HONDA1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

Sex Distribution (26 persons with recorded sex)

Male14 (53.8%)
16.7%prior 12
Female12 (46.2%)
-7.7%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph zones decreased from 6 in August 2024 to 3 in August 2025. The current period introduced crashes in 5 mph (1), 20 mph (1), and 40 mph (1) zones, which were not present in the prior year. Conversely, crashes in 30 mph (2), 35 mph (1), and 50 mph (1) zones from August 2024 were absent in August 2025, indicating a shift in crash distribution to different speed limit areas.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: WARE, MA
  • Total crash records analyzed: 11
  • Total persons involved: 26
  • Total vehicles involved: 18

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). "WARE, MA Crash Intelligence Report: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/ware/august-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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Ware, MA Crash Report — August 2025 | ThatCarHitMe.com