Monthly Traffic Safety Analysis

40 CRASHES IN
WAREHAM, MA
APRIL 2023

All metrics benchmarked againstApril 2022

In April 2023, Wareham recorded 40 crashes, an increase of 17.6% compared to the 34 crashes in April 2022. Total fatalities increased from 0 in April 2022 to 1 in April 2023, representing the most significant year-over-year shift. Injuries also rose by 84.6%, from 13 to 24.

40

17.6%was 34

Total Crash Events

1

Persons Killed

24

84.6%was 13

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2023-04-01 to 2023-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for April 2023 indicates an upward trend compared to April 2022. Total crashes increased by 17.6%, from 34 to 40. Concurrently, total injuries saw a substantial rise of 84.6%, from 13 to 24, and fatalities increased from 0 to 1.

Vulnerable Road User Casualties

1

Cyclists Killed

Prior: 0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

23

Motorists Injured

Prior: 1376.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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 Friday in April 2022, which had 8 crashes, to Saturday in April 2023, with 9 crashes. The peak crash hour also changed, moving from 3 PM with 5 crashes in April 2022 to 5 PM with 4 crashes in April 2023. This suggests a shift in the busiest times for crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in April 2022 to 1 in April 2023, representing 2.5% of all crashes in the current period. Serious injuries (Severity A) also appeared in April 2023 with 2 crashes (5% of total crashes), whereas none were recorded in the prior period. Minor injuries (Severity B) increased from 7 crashes (20.6% share) to 10 crashes (25% share), and possible injuries (Severity C) rose from 2 crashes (5.9% share) to 5 crashes (12.5% share).

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.5%
Serious Injury2serious injury crashes5%
Minor Injury10minor injury crashes25%
42.9%prior 7
Possible Injury5possible injury crashes12.5%
150.0%prior 2
No Injury22no injury crashes55%
-8.3%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Most severe injury per crash record

Top Contributing Factors

"No improper driving" increased by 2 crashes, from 9 to 11, representing a 22.2% rise in count, while its share remained stable around 27%. "Inattention" decreased by 3 crashes, from 9 to 6, a 33.3% reduction in count, and its share of total crashes dropped from 26.5% to 15%. Conversely, "Operating vehicle in an erratic, reckless, careless, negligent or aggressive manner" saw a 300% increase in count, rising from 1 crash to 4 crashes. "Distracted" appeared as a contributing factor in 3 crashes in April 2023, while it was not among the top factors in April 2022.

Officer-Reported Primary Contributing Cause

No improper driving11 (27.5%)22.2%prior 9
Inattention6 (15%)-33.3%prior 9
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (10%)
Failed to yield right of way4 (10%)
Distracted3 (7.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (7.5%)
Fatigued/asleep2 (5%)
Made an improper turn1 (2.5%)
Illness1 (2.5%)
Disregarded traffic signs, signals, road markings1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions increased from 23 in April 2022 to 28 in April 2023. Conversely, crashes during "Rain" decreased from 5 to 1. Crashes on "Dry" road surfaces rose from 26 to 34, while those on "Wet" surfaces decreased from 8 to 6.

Weather

Clear28 (70.0%)
21.7%prior 23
Cloudy6 (15.0%)
Cloudy/Unknown2 (5.0%)
Clear/Unknown1 (2.5%)
Clear/Other1 (2.5%)
Cloudy/Rain1 (2.5%)
Rain1 (2.5%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Weather condition at time of crash

Lighting

Daylight27 (67.5%)
12.5%prior 24
Dark - roadway not lighted6 (15.0%)
-14.3%prior 7
Dark - lighted roadway5 (12.5%)
Dusk2 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Lighting condition field

Road Surface

Dry34 (85.0%)
30.8%prior 26
Wet6 (15.0%)
-25.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 10%, from 60 in April 2022 to 66 in April 2023. The representation of the 0-15 age group in crashes saw a notable increase from 2 persons to 11 persons, while the 26-34 age group also increased from 9 to 15 persons. The 65+ age group experienced a decrease in representation, from 11 to 9 persons. Among vehicle makes, FORD increased from 5 to 11 involved vehicles, and CHEVROLET decreased from 9 to 6 involved vehicles.

Top Vehicle Makes (66 vehicles)

1
FORD11 (16.7%)
120.0%prior 5
2
HONDA10 (15.2%)
42.9%prior 7
3
TOYOTA9 (13.6%)
28.6%prior 7
4
CHEVROLET6 (9.1%)
-33.3%prior 9
5
NISSAN5 (7.6%)
6
JEEP3 (4.5%)
7
MAZDA3 (4.5%)
8
KIA2 (3%)
9
MERCEDES-BENZ2 (3%)
10
LEXUS2 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Vehicle unit records

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

Sex Distribution (78 persons with recorded sex)

Male42 (53.8%)
27.3%prior 33
Female36 (46.2%)
33.3%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 35 mph speed zones increased by 5, from 10 in April 2022 to 15 in April 2023. Crashes in 65 mph zones also rose by 3, from 6 to 9. Conversely, crashes in 25 mph zones decreased by 4, from 6 to 2. The single fatal crash in April 2023 occurred in a 25 mph speed zone, whereas no fatal crashes were recorded across any speed zone in April 2022.

Fatal crashes by zone: 25 mph: 1 of 2 (50%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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: 2023-04-01 through 2023-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-04-01 through 2023-04-30 (30 days)
  • Geographic scope: WAREHAM, MA
  • Total crash records analyzed: 40
  • Total persons involved: 81
  • Total vehicles involved: 66

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 2023." Published June 21, 2026. Reporting period: 2023-04-01 to 2023-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wareham/april-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

ThatCarHitMe.com · An Injuria.ai Company

Wareham, MA Crash Report — April 2023 | ThatCarHitMe.com