Monthly Traffic Safety Analysis

54 CRASHES IN
WAREHAM, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

Total crashes in WAREHAM, MA increased from 39 in December 2021 to 54 in December 2022, representing a 38.5% rise. This increase was accompanied by a significant 400% increase in total injuries, from 6 to 30. The most notable shift was the substantial increase in crashes resulting in injuries.

54

38.5%was 39

Total Crash Events

0

Persons Killed

30

400.0%was 6

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in WAREHAM, MA shows an upward trend year-over-year. Total crashes increased by 38.5%, from 39 in December 2021 to 54 in December 2022. Concurrently, total injuries saw a substantial rise of 400%, increasing from 6 to 30.

2

Hit-and-Run Crashes — December 2022

0.0% vs prior (2)

The number of hit-and-run crashes remained constant at 2 in both December 2021 and December 2022. However, the hit-and-run rate decreased from 5.1% of total crashes in December 2021 to 3.7% in December 2022.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

29

Motorists Injured

Prior: 6383.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In December 2021, Friday was the peak day with 13 crashes, while in December 2022, Thursday became the peak day with 14 crashes. The peak crash hour also shifted from 12p with 6 crashes in December 2021 to 4p with 8 crashes in December 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both December 2021 and December 2022. The proportion of crashes resulting in 'No Injury' decreased from 82.1% in December 2021 to 64.8% in December 2022. Serious injuries (Severity A) increased from 1 crash to 3 crashes, and minor injuries (Severity B) increased from 2 crashes to 8 crashes.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes5.6%
200.0%prior 1
Minor Injury8minor injury crashes14.8%
300.0%prior 2
Possible Injury8possible injury crashes14.8%
No Injury35no injury crashes64.8%
9.4%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' increased from 11 crashes in December 2021 to 18 crashes in December 2022, a 63.6% increase in count. 'Inattention' also rose from 12 crashes to 14 crashes, a 16.7% increase. 'Failed to yield right of way' saw a 150% increase in count, from 2 crashes to 5 crashes.

Officer-Reported Primary Contributing Cause

No improper driving18 (33.3%)63.6%prior 11
Inattention14 (25.9%)16.7%prior 12
Failed to yield right of way5 (9.3%)
Followed too closely3 (5.6%)
Physical impairment3 (5.6%)
Distracted1 (1.9%)
Operating defective equipment1 (1.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (1.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (1.9%)
Fatigued/asleep1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 21 in December 2021 to 25 in December 2022. Crashes during 'Rain' conditions significantly increased from 6 to 16, a 166.7% rise. Regarding road surface, crashes on 'Wet' roads increased from 10 to 25, while those on 'Dry' roads slightly decreased from 28 to 26.

Weather

Clear25 (46.3%)
19.0%prior 21
Rain16 (29.6%)
166.7%prior 6
Clear/Unknown4 (7.4%)
Rain/Sleet, hail (freezing rain or drizzle)2 (3.7%)
Cloudy2 (3.7%)
Clear/Other2 (3.7%)
Snow1 (1.9%)
Cloudy/Rain1 (1.9%)
Rain/Cloudy1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight22 (40.7%)
0.0%prior 22
Dark - lighted roadway10 (18.5%)
100.0%prior 5
Dark - roadway not lighted9 (16.7%)
12.5%prior 8
Dusk8 (14.8%)
Dawn4 (7.4%)
Dark - unknown roadway lighting1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry26 (48.1%)
-7.1%prior 28
Wet25 (46.3%)
150.0%prior 10
Ice2 (3.7%)
Snow1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 69 in December 2021 to 92 in December 2022. Toyota remained the top make involved, increasing from 9 to 16 vehicles, while Ford also saw a rise from 6 to 13. The 65+ age group showed a notable increase in persons involved, rising from 11 in December 2021 to 25 in December 2022.

Top Vehicle Makes (92 vehicles)

1
TOYOTA16 (17.4%)
77.8%prior 9
2
FORD13 (14.1%)
116.7%prior 6
3
CHEVROLET11 (12%)
4
HONDA7 (7.6%)
16.7%prior 6
5
NISSAN7 (7.6%)
16.7%prior 6
6
VOLKSWAGEN4 (4.3%)
7
JEEP4 (4.3%)
8
GMC4 (4.3%)
-50.0%prior 8
9
SUBARU4 (4.3%)
10
DODGE3 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (118 persons with recorded sex)

Female60 (50.8%)
66.7%prior 36
Male58 (49.2%)
45.0%prior 40

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones increased from 10 in December 2021 to 30 in December 2022. Crashes in 65 mph zones doubled from 4 to 8, while crashes in 25 mph zones decreased from 10 to 1. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: WAREHAM, MA
  • Total crash records analyzed: 54
  • Total persons involved: 121
  • Total vehicles involved: 92

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). "WAREHAM, MA Crash Intelligence Report: December 2022." Published June 21, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wareham/december-2022-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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Wareham, MA Crash Report — December 2022 | ThatCarHitMe.com