Monthly Traffic Safety Analysis

13 CRASHES IN
WARE, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in Ware decreased by 23.5% year-over-year, from 17 crashes in April 2024 to 13 crashes in April 2025. While overall crashes declined, hit-and-run incidents saw a notable shift, increasing from 0 in April 2024 to 3 in April 2025. Fatalities remained at 0 in both periods.

13

-23.5%was 17

Total Crash Events

0

Persons Killed

5

25.0%was 4

Persons Injured

3

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Ware decreased by 23.5% year-over-year, with 13 crashes reported in April 2025 compared to 17 in April 2024. Despite this reduction in total incidents, the number of injured persons increased by 25%, from 4 in April 2024 to 5 in April 2025.

3

Hit-and-Run Crashes — April 2025

23.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 425.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 in April 2024, which saw 5 crashes, to Friday in April 2025, with 4 crashes. The peak hour remained consistent at 4 PM in both periods, with 3 crashes recorded at this time in both April 2024 and April 2025. While Monday and Saturday had 0 crashes in April 2025, they had 1 and 2 crashes respectively in April 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both April 2024 and April 2025. The total number of injuries increased from 4 in April 2024 to 5 in April 2025. Serious injuries, coded as 'A', increased from 0 in April 2024 to 1 in April 2025, while minor injuries ('B') increased from 1 to 2. Possible injuries ('C') decreased from 2 in April 2024 to 0 in April 2025.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes7.7%
Minor Injury2minor injury crashes15.4%
100.0%prior 1
No Injury9no injury crashes69.2%
-30.8%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor, 'No improper driving', decreased in count from 7 crashes in April 2024 to 4 crashes in April 2025, and its share decreased from 41.2% to 30.8%. 'Failed to yield right of way' crashes increased from 1 in April 2024 to 3 in April 2025, moving from the fourth most common factor to the second. Conversely, 'Inattention' and 'Distracted' crashes each decreased by 1, from 2 crashes in April 2024 to 1 crash in April 2025.

Officer-Reported Primary Contributing Cause

No improper driving4 (30.8%)-42.9%prior 7
Failed to yield right of way3 (23.1%)
Distracted1 (7.7%)
Followed too closely1 (7.7%)
Inattention1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 11 in April 2024 to 7 in April 2025. The number of crashes under 'Cloudy' conditions remained stable at 2 for both periods. Crashes occurring in 'Dark - roadway not lighted' conditions decreased from 4 in April 2024 to 1 in April 2025, while 'Daylight' crashes increased from 9 to 11.

Weather

Clear7 (53.8%)
-36.4%prior 11
Clear/Unknown2 (15.4%)
Cloudy2 (15.4%)
Clear/Clear1 (7.7%)
Clear/Other1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight11 (84.6%)
22.2%prior 9
Dark - lighted roadway1 (7.7%)
Dark - roadway not lighted1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (24 vehicles)

1
FORD6 (25%)
0.0%prior 6
2
HONDA2 (8.3%)
3
CHEVROLET2 (8.3%)
4
TOYOTA2 (8.3%)
5
MAZDA1 (4.2%)
6
NISSAN1 (4.2%)
7
PONT1 (4.2%)
8
SUBARU1 (4.2%)
9
MACK1 (4.2%)
10
DODGE1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

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

Sex Distribution (25 persons with recorded sex)

Male13 (52.0%)
-23.5%prior 17
Female12 (48.0%)
-14.3%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph zones decreased from 5 in April 2024 to 2 in April 2025, while crashes in 30 mph zones increased from 2 to 4. There were 2 crashes in 20 mph zones in April 2024, with none reported in April 2025. Conversely, 1 crash occurred in a 55 mph zone in April 2025, where none were reported in April 2024. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: WARE, MA
  • Total crash records analyzed: 13
  • Total persons involved: 32
  • Total vehicles involved: 24

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: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/ware/april-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 — April 2025 | ThatCarHitMe.com