Monthly Traffic Safety Analysis

60 CRASHES IN
WAREHAM, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, Wareham experienced 60 crashes, a 20% increase from 50 crashes in July 2021. The most significant shift was the increase in serious injury crashes, which rose from 0 to 5 crashes year-over-year.

60

20.0%was 50

Total Crash Events

0

Persons Killed

26

18.2%was 22

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 · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Wareham increased by 20% from 50 in July 2021 to 60 in July 2022. While fatalities remained stable at 0 in both periods, total injuries rose by 18.18%, from 22 to 26.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

26

Motorists Injured

Prior: 2218.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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 Friday in July 2021 (13 crashes) to Saturday in July 2022 (14 crashes). Similarly, the peak crash hour moved from 2p (6 crashes) in the prior period to 12p (7 crashes) in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both periods. However, serious injury crashes increased from 0 in July 2021 to 5 in July 2022, while minor injury crashes rose from 7 to 10. Conversely, possible injury crashes decreased from 4 to 0.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes8.3%
Minor Injury10minor injury crashes16.7%
42.9%prior 7
No Injury45no injury crashes75%
15.4%prior 39

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes where 'No improper driving' was a factor increased by 6, from 14 to 20, remaining the top factor. 'Inattention' crashes also rose by 2, from 12 to 14, maintaining its position as the second most common factor. 'Failed to yield right of way' crashes decreased by 3, from 6 to 3, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' crashes doubled from 2 to 4.

Officer-Reported Primary Contributing Cause

No improper driving20 (33.3%)42.9%prior 14
Inattention14 (23.3%)16.7%prior 12
Other improper action4 (6.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (6.7%)
Failed to yield right of way3 (5%)-50.0%prior 6
Followed too closely3 (5%)
Made an improper turn2 (3.3%)
Physical impairment2 (3.3%)
Glare1 (1.7%)
Failure to keep in proper lane or running off road1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 32 to 46 year-over-year, while cloudy weather crashes decreased from 8 to 3. Daylight crashes rose from 37 to 50, whereas crashes in dark conditions (lighted or unlighted) decreased from 12 to 8. Road surface condition data was not available for the current period, preventing a year-over-year comparison for this metric.

Weather

Clear46 (78.0%)
43.8%prior 32
Clear/Unknown4 (6.8%)
Clear/Cloudy3 (5.1%)
Cloudy3 (5.1%)
-62.5%prior 8
Clear/Other2 (3.4%)
Fog, smog, smoke1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

Daylight50 (83.3%)
35.1%prior 37
Dark - lighted roadway5 (8.3%)
-28.6%prior 7
Dark - roadway not lighted3 (5.0%)
-40.0%prior 5
Dusk2 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Vehicles & Demographics

The age group of 65+ saw the most significant increase in persons involved in crashes, rising from 8 to 28, a 250% change. Persons aged 16-20 also increased substantially from 16 to 28, a 75% rise. Toyota became the most frequently involved vehicle make, with its count rising from 12 to 20, while Chevrolet dropped from 15 to 10.

Top Vehicle Makes (111 vehicles)

1
TOYOTA20 (18%)
66.7%prior 12
2
FORD14 (12.6%)
27.3%prior 11
3
HONDA14 (12.6%)
4
CHEVROLET10 (9%)
-33.3%prior 15
5
JEEP8 (7.2%)
33.3%prior 6
6
DODGE5 (4.5%)
7
NISSAN4 (3.6%)
-42.9%prior 7
8
VOLKSWAGEN4 (3.6%)
9
HYUNDAI4 (3.6%)
-20.0%prior 5
10
AUDI3 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

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

Sex Distribution (143 persons with recorded sex)

Male87 (60.8%)
81.3%prior 48
Female56 (39.2%)
7.7%prior 52

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones saw a notable increase, rising from 3 to 10 crashes, a 233.33% change. Crashes in 35 mph zones also increased from 19 to 25, while those in 65 mph zones decreased slightly from 8 to 7. Fatal crash rates remained at 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: WAREHAM, MA
  • Total crash records analyzed: 60
  • Total persons involved: 154
  • Total vehicles involved: 111

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: July 2022." Published June 21, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wareham/july-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 — July 2022 | ThatCarHitMe.com