Monthly Traffic Safety Analysis

16 CRASHES IN
WARE, MA
JANUARY 2025

All metrics benchmarked againstJanuary 2024

In January 2025, WARE experienced 16 crashes, a decrease from the 22 crashes recorded in January 2024. This represents a 27.3% reduction in total crashes year-over-year. The most significant shift observed is the overall reduction in crash incidents, accompanied by a notable decrease in injuries from 9 to 4.

16

▼ -27.3%was 22

Total Crash Events

0

Persons Killed

4

▼ -55.6%was 9

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend for January indicates a significant decline in traffic safety incidents in WARE. Total crashes decreased by 27.3% from 22 in January 2024 to 16 in January 2025. Concurrently, total injuries saw an even steeper reduction, falling by 55.6% from 9 to 4 over the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

4

Motorists Injured

Prior: 8↓-50.0%

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

When Crashes Happen

Temporal patterns for crashes in WARE show a shift year-over-year. In January 2025, the peak day for crashes was Friday with 4 incidents, whereas in January 2024, Monday had the highest count with 6 crashes. The peak hour for crashes also shifted from 4 PM with 4 crashes in the prior period to 5 PM with 3 crashes in the current period, indicating a slight delay in peak crash times.

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

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

Crash Severity Breakdown

There were no fatal crashes reported in either January 2024 or January 2025. Total injuries decreased significantly from 9 in January 2024 to 4 in January 2025, a 55.6% reduction. The distribution of injury severities also shifted, with January 2025 recording one serious injury crash, which was not present in the prior year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes6.3%
Minor Injury1minor injury crashes6.3%
↓-66.7%prior 3
Possible Injury1possible injury crashes6.3%
→0.0%prior 1
No Injury13no injury crashes81.3%
↓-27.8%prior 18

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

A notable shift occurred in contributing factors year-over-year. 'No improper driving' crashes decreased significantly from 10 in January 2024 to 2 in January 2025, an 80% reduction in count. Conversely, 'Driving too fast for conditions' crashes increased by 50% in count, from 2 to 3, and 'Followed too closely' appeared as a factor in 2 crashes in January 2025, not being present in the prior period's top factors.

Officer-Reported Primary Contributing Cause

Driving too fast for conditions3 (18.8%)
No improper driving2 (12.5%)↓-80.0%prior 10
Followed too closely2 (12.5%)
Inattention2 (12.5%)
Failed to yield right of way1 (6.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (6.3%)
Other improper action1 (6.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (6.3%)
Failure to keep in proper lane or running off road1 (6.3%)
Visibility obstructed1 (6.3%)

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

Road & Environmental Conditions

Crash conditions saw a shift towards less severe weather and road conditions in January 2025 compared to the prior year. Snow-related road surface conditions decreased significantly from 11 crashes in January 2024 to 4 crashes in January 2025. Correspondingly, crashes on dry roads increased from 7 to 9, while crashes during dusk hours were eliminated, down from 3 in the prior period.

Weather

Clear12 (75.0%)
↑20.0%prior 10
Cloudy/Snow2 (12.5%)
Clear/Unknown1 (6.3%)
Snow1 (6.3%)
↓-80.0%prior 5

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

Lighting

Daylight10 (62.5%)
↓-16.7%prior 12
Dark - lighted roadway5 (31.3%)
↓-16.7%prior 6
Dark - roadway not lighted1 (6.3%)

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

Road Surface

Dry9 (56.3%)
↑28.6%prior 7
Snow4 (25.0%)
↓-63.6%prior 11
Wet2 (12.5%)
Slush1 (6.3%)

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

Vehicles & Demographics

Top Vehicle Makes (27 vehicles)

1
CHEVROLET4 (14.8%)
↓-33.3%prior 6
2
HONDA3 (11.1%)
3
NISSAN3 (11.1%)
4
JEEP3 (11.1%)
5
SUBARU3 (11.1%)
6
TOYOTA2 (7.4%)
↓-60.0%prior 5
7
FORD2 (7.4%)
↓-71.4%prior 7
8
DODGE2 (7.4%)
9
HYUNDAI1 (3.7%)
↓-80.0%prior 5
10
GMC1 (3.7%)

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

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

Sex Distribution (28 persons with recorded sex)

Female16 (57.1%)
↓-30.4%prior 23
Male12 (42.9%)
↓-57.1%prior 28

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

Speed Limit Zones

There were no fatal crashes reported in any speed zone during either January 2024 or January 2025. While the total number of crashes with recorded speed limits decreased from 12 to 10, a slight shift in crash distribution was observed. Crashes in the 35 mph zone increased from 2 to 3, and a crash occurred in the 40 mph zone in January 2025, which was not present in the prior year, indicating a potential shift to slightly higher speed limit zones.

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

Data Coverage

  • Reporting period: 2025-01-01 through 2025-01-31 (31 days)
  • Geographic scope: WARE, MA
  • Total crash records analyzed: 16
  • Total persons involved: 31
  • Total vehicles involved: 27

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

Ware, MA Crash Report — January 2025 | ThatCarHitMe.com