Monthly Traffic Safety Analysis

50 CRASHES IN
WAREHAM, MA
MAY 2023

All metrics benchmarked againstMay 2022

Total crashes in WAREHAM decreased by 10.71%, from 56 in May 2022 to 50 in May 2023. Despite this reduction in overall incidents, total injuries increased by 14.29%, rising from 21 to 24. This suggests a higher injury severity rate per crash in the current period compared to the prior year.

50

-10.7%was 56

Total Crash Events

0

Persons Killed

24

14.3%was 21

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 · 2023-05-01 to 2023-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in WAREHAM experienced a decrease of 10.71% year-over-year, falling from 56 in May 2022 to 50 in May 2023. However, total injuries rose by 14.29%, from 21 to 24, indicating a higher proportion of injury-involved crashes in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

23

Motorists Injured

Prior: 2015.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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 (11 crashes) in May 2022 to Thursday (10 crashes) in May 2023. The peak hour remained 3 PM, with crash counts increasing from 5 to 6 incidents. Notable shifts include a decrease in Friday crashes from 11 to 5 and an increase in Monday crashes from 8 to 9.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes recorded in either May 2022 or May 2023. The proportion of crashes resulting in injury increased from 37.5% (21 out of 56) in the prior period to 48% (24 out of 50) in the current period. Minor injuries remained at 11, while possible injuries increased from 4 to 6, contributing to the higher injury rate.

Outcome by Severity (Crash Events)

Minor Injury11minor injury crashes22%
0.0%prior 11
Possible Injury6possible injury crashes12%
50.0%prior 4
No Injury33no injury crashes66%
-15.4%prior 39

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Most severe injury per crash record

Top Contributing Factors

No improper driving remained the most common contributing factor, with 21 crashes in both May 2022 and May 2023. Crashes attributed to Inattention increased from 7 to 8, and Failed to yield right of way rose from 4 to 6. Conversely, Followed too closely crashes saw a significant decrease from 4 to 1, while Speeding crashes increased from 0 to 1.

Officer-Reported Primary Contributing Cause

No improper driving21 (42%)0.0%prior 21
Inattention8 (16%)14.3%prior 7
Failed to yield right of way6 (12%)
Other improper action3 (6%)
Failure to keep in proper lane or running off road2 (4%)
Physical impairment2 (4%)
Visibility obstructed1 (2%)
Driving too fast for conditions1 (2%)
Fatigued/asleep1 (2%)
Followed too closely1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in Clear weather conditions remained stable at 42 incidents in both periods. Incidents on Wet road surfaces decreased notably from 9 in May 2022 to 3 in May 2023. Crashes during Dusk conditions were eliminated, falling from 4 to 0, while Dark - roadway not lighted incidents slightly increased from 4 to 5.

Weather

Clear42 (84.0%)
0.0%prior 42
Clear/Unknown3 (6.0%)
Rain3 (6.0%)
Cloudy2 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Weather condition at time of crash

Lighting

Daylight43 (86.0%)
-2.3%prior 44
Dark - roadway not lighted5 (10.0%)
Dark - lighted roadway2 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Lighting condition field

Road Surface

Dry47 (94.0%)
0.0%prior 47
Wet3 (6.0%)
-66.7%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased marginally from 90 in May 2022 to 94 in May 2023. Toyota remained the most frequently involved make with 15 instances in both periods, while Ford involvement decreased from 14 to 11. The most represented age group among persons involved shifted from 26-34 (17 persons) in the prior year to 35-44 (24 persons) in the current year.

Top Vehicle Makes (94 vehicles)

1
TOYOTA15 (16%)
0.0%prior 15
2
FORD11 (11.7%)
-21.4%prior 14
3
HONDA9 (9.6%)
28.6%prior 7
4
CHEVROLET7 (7.4%)
40.0%prior 5
5
JEEP6 (6.4%)
0.0%prior 6
6
HYUNDAI5 (5.3%)
7
NISSAN4 (4.3%)
8
RAM3 (3.2%)
9
SUBARU3 (3.2%)
10
DODGE3 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Vehicle unit records

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

Sex Distribution (107 persons with recorded sex)

Male66 (61.7%)
13.8%prior 58
Female41 (38.3%)
-16.3%prior 49

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones saw a slight increase from 23 in May 2022 to 24 in May 2023. There was a notable decrease in crashes within 30 mph zones, falling from 6 to 1, and in 25 mph zones, decreasing from 5 to 2. No fatal crashes were recorded in any speed zone during either the current or prior periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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: 2023-05-01 through 2023-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-05-01 through 2023-05-31 (31 days)
  • Geographic scope: WAREHAM, MA
  • Total crash records analyzed: 50
  • Total persons involved: 115
  • Total vehicles involved: 94

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: May 2023." Published June 21, 2026. Reporting period: 2023-05-01 to 2023-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/wareham/may-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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Wareham, MA Crash Report — May 2023 | ThatCarHitMe.com