Monthly Traffic Safety Analysis

34 CRASHES IN
WAREHAM, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, WAREHAM, MA experienced 34 total crashes, a 24.44% decrease compared to 45 crashes in April 2021. Total injuries also decreased significantly, from 19 in the prior period to 13 in the current period, representing a 31.58% reduction. Fatalities remained at 0 in both periods.

34

-24.4%was 45

Total Crash Events

0

Persons Killed

13

-31.6%was 19

Persons Injured

0

-100.0%was 1

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 · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash activity year-over-year, with total crashes falling by 24.44% from 45 to 34. This reduction is also reflected in a 31.58% drop in total injuries, from 19 to 13. The number of fatal crashes remained stable at zero for both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

13

Motorists Injured

Prior: 17-23.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, though the count decreased from 9 in April 2021 to 8 in April 2022. The peak hour for crashes shifted from 4 p.m. with 7 crashes in April 2021 to 3 p.m. with 5 crashes in April 2022. Crashes on Monday saw a notable decrease from 8 to 2 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The proportion of crashes resulting in minor injuries remained relatively stable, with 20% in April 2021 and 20.6% in April 2022. Possible injury crashes decreased from 8.9% of total crashes in the prior period to 5.9% in the current period. The number of fatal crashes remained at zero in both periods, indicating no change in the fatal crash rate.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes20.6%
-22.2%prior 9
Possible Injury2possible injury crashes5.9%
-50.0%prior 4
No Injury24no injury crashes70.6%
-25.0%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Inattention' decreased from 11 crashes in April 2021 to 9 crashes in April 2022, a 18.2% reduction in count. 'No improper driving' remained consistent with 9 crashes in both periods. Crashes attributed to 'Failure to keep in proper lane or running off road' increased from 1 to 3, while 'Driving too fast for conditions' decreased from 3 to 1.

Officer-Reported Primary Contributing Cause

No improper driving9 (26.5%)0.0%prior 9
Inattention9 (26.5%)-18.2%prior 11
Failure to keep in proper lane or running off road3 (8.8%)
Failed to yield right of way3 (8.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (5.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.9%)
Visibility obstructed1 (2.9%)
Driving too fast for conditions1 (2.9%)
Exceeded authorized speed limit1 (2.9%)
Followed too closely1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather decreased from 29 to 23, while crashes in 'Rain' increased from 2 to 5. 'Daylight' crashes decreased from 34 to 24, but crashes in 'Dark - roadway not lighted' increased from 3 to 7. The number of crashes on 'Dry' road surfaces decreased from 38 to 26, while crashes on 'Wet' surfaces saw a slight increase from 7 to 8.

Weather

Clear23 (67.6%)
-20.7%prior 29
Rain5 (14.7%)
Clear/Cloudy2 (5.9%)
Rain/Cloudy2 (5.9%)
Cloudy1 (2.9%)
Rain/Other1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight24 (70.6%)
-29.4%prior 34
Dark - roadway not lighted7 (20.6%)
Dark - lighted roadway3 (8.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry26 (76.5%)
-31.6%prior 38
Wet8 (23.5%)
14.3%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 75 in April 2021 to 60 in April 2022. The top vehicle make involved shifted from Ford (11 in prior) to Chevrolet (9 in current), with Ford decreasing to 5. There was a notable decrease in persons involved in crashes in the 26-34 age group (from 16 to 9) and the 45-54 age group (from 13 to 7).

Top Vehicle Makes (60 vehicles)

1
CHEVROLET9 (15%)
28.6%prior 7
2
TOYOTA7 (11.7%)
3
HONDA7 (11.7%)
16.7%prior 6
4
GMC5 (8.3%)
5
FORD5 (8.3%)
-54.5%prior 11
6
JEEP4 (6.7%)
-20.0%prior 5
7
SUBARU3 (5%)
8
DODGE3 (5%)
9
HYUNDAI2 (3.3%)
10
NISSAN2 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

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

Sex Distribution (60 persons with recorded sex)

Male33 (55.0%)
-28.3%prior 46
Female27 (45.0%)
-27.0%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes at the 35 mph speed limit saw the largest decrease, dropping from 18 to 10 crashes. Conversely, crashes at the 65 mph speed limit increased from 3 to 6, and crashes at 45 mph increased from 2 to 4. Crashes at 25 mph remained stable with 6 incidents in both periods, and no fatalities were recorded in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: WAREHAM, MA
  • Total crash records analyzed: 34
  • Total persons involved: 69
  • Total vehicles involved: 60

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: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wareham/april-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 — April 2022 | ThatCarHitMe.com