Monthly Traffic Safety Analysis

22 CRASHES IN
WARE, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, Ware experienced 22 total crashes, marking a 37.5% increase compared to the 16 crashes recorded in December 2022. The most notable year-over-year shift was in hit-and-run crashes, which increased from 0 in December 2022 to 2 in December 2023.

22

37.5%was 16

Total Crash Events

0

Persons Killed

2

100.0%was 1

Persons Injured

2

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Ware showed an upward trend, increasing from 16 in December 2022 to 22 in December 2023. This represents a 37.5% rise in total crash incidents year-over-year.

2

Hit-and-Run Crashes — December 2023

9.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 1100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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 Friday (4 crashes each) in December 2022 to Saturday, Monday, and Thursday (4 crashes each) in December 2023. The peak hour also shifted, with 3 crashes at 3 PM in December 2022, while December 2023 saw 4 crashes at 4 PM.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both December 2022 and December 2023. Total injuries increased from 1 in December 2022 to 2 in December 2023. The proportion of crashes with possible injuries decreased slightly from 6.3% (1 of 16 crashes) in the prior period to 4.5% (1 of 22 crashes) in the current period.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes4.5%
0.0%prior 1
No Injury19no injury crashes86.4%
35.7%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased from 5 in December 2022 to 8 in December 2023. 'Inattention' crashes also rose from 1 to 2, and 'Failed to yield right of way' crashes increased from 1 to 2. Conversely, crashes involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased from 3 to 1.

Officer-Reported Primary Contributing Cause

No improper driving8 (36.4%)60.0%prior 5
Inattention2 (9.1%)
Failed to yield right of way2 (9.1%)
Failure to keep in proper lane or running off road1 (4.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.5%)
Over-correcting/over-steering1 (4.5%)
Emotional1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 11 in December 2022 to 14 in December 2023. For road surface conditions, crashes on 'Dry' roads increased from 11 to 15, while crashes on 'Wet' roads increased from 3 to 7. 'Daylight' crashes saw an increase from 10 to 11, and crashes in 'Dark - lighted roadway' conditions increased from 2 to 7.

Weather

Clear14 (63.6%)
27.3%prior 11
Cloudy/Rain3 (13.6%)
Rain2 (9.1%)
Clear/Other1 (4.5%)
Clear/Unknown1 (4.5%)
Cloudy1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight11 (50.0%)
10.0%prior 10
Dark - lighted roadway7 (31.8%)
Dusk3 (13.6%)
Dark - roadway not lighted1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry15 (68.2%)
36.4%prior 11
Wet7 (31.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (44 vehicles)

1
HONDA9 (20.5%)
2
FORD7 (15.9%)
3
CHEVROLET6 (13.6%)
4
JEEP4 (9.1%)
-20.0%prior 5
5
TOYOTA3 (6.8%)
6
BMW2 (4.5%)
7
NISSAN2 (4.5%)
8
RAM2 (4.5%)
9
HD1 (2.3%)
10
KIA1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (51 persons with recorded sex)

Male27 (52.9%)
80.0%prior 15
Female24 (47.1%)
41.2%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 20 mph zones increased from 1 in December 2022 to 3 in December 2023, and 25 mph zones increased from 3 to 4. Conversely, crashes in 35 mph zones decreased from 6 to 3. The current period also reported crashes in 40 mph and 45 mph zones, which were not present in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: WARE, MA
  • Total crash records analyzed: 22
  • Total persons involved: 54
  • Total vehicles involved: 44

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: December 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/ware/december-2023-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 — December 2023 | ThatCarHitMe.com