Yearly Traffic Safety Analysis

328 CRASHES IN
WRENTHAM, MA
2022

All metrics benchmarked against2021

In 2022, Wrentham recorded 328 total traffic crashes, a 2.4% decrease from the 336 crashes recorded in 2021. While overall crashes declined and fatalities remained stable with one death in each year, the number of crashes involving a suspected DUI driver increased by 160%, rising from 5 in 2021 to 13 in 2022.

328

-2.4%was 336

Total Crash Events

1

Persons Killed

126

-14.9%was 148

Persons Injured

15

36.4%was 11

Hit-and-Run Crashes

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. 10 crashes with unreported severity are not shown in the severity breakdown.

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

Trend Summary

Overall traffic safety metrics in Wrentham showed a slight improvement year-over-year. Total crashes decreased by 2.4%, from 336 in 2021 to 328 in 2022. The number of people injured in these incidents also saw a notable decline of 14.9%, falling from 148 to 126, while fatalities held steady at one person killed in each period.

15

Hit-and-Run Crashes — 2022

36.4% vs prior (11)

Hit-and-run incidents trended upward in Wrentham. The number of hit-and-run crashes increased from 11 in 2021 to 15 in 2022, representing a 36.4% rise in count. Consequently, the hit-and-run rate, which measures the proportion of total crashes that are hit-and-runs, also increased from 3.3% to 4.6% over the same period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 10.0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 0%

124

Motorists Injured

Prior: 148-16.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 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 in Wrentham shifted between the two periods. In 2022, the most frequent day for crashes was Friday with 63 incidents, a change from 2021 when Sunday was the peak day with 56 crashes. Similarly, the peak hour for collisions moved from the 4 PM hour in 2021 (38 crashes) to the 5 PM hour in 2022 (35 crashes), aligning with the evening commute.

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

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

Crash Severity Breakdown

The number of fatal crashes remained constant with one incident in both 2021 and 2022, resulting in a stable fatal crash rate of 0.3%. However, the composition of injury crashes changed. While the total number of people injured decreased, the count of crashes involving a serious injury increased from 11 in 2021 to 16 in 2022. Conversely, crashes resulting in minor injuries decreased from 49 to 35 during the same period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
0.0%prior 1
Serious Injury16serious injury crashes4.9%
45.5%prior 11
Minor Injury35minor injury crashes10.7%
-28.6%prior 49
Possible Injury40possible injury crashes12.2%
-11.1%prior 45
No Injury226no injury crashes68.9%
3.2%prior 219

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

The leading contributing factors for crashes saw a significant shift in ranking between 2021 and 2022. The most notable change was a 42.6% decrease in the count of crashes attributed to 'Inattention,' which fell from 61 incidents in 2021 to 35 in 2022, dropping from the second to the fourth most common factor. Conversely, crashes due to 'Followed too closely' increased in count by 37.1%, from 35 to 48, making it the second most frequent factor in 2022.

Officer-Reported Primary Contributing Cause

No improper driving78 (23.8%)16.4%prior 67
Followed too closely48 (14.6%)37.1%prior 35
Failed to yield right of way37 (11.3%)-7.5%prior 40
Inattention35 (10.7%)-42.6%prior 61
Failure to keep in proper lane or running off road23 (7%)43.8%prior 16
Driving too fast for conditions16 (4.9%)6.7%prior 15
Disregarded traffic signs, signals, road markings11 (3.4%)10.0%prior 10
Made an improper turn10 (3%)-47.4%prior 19
Exceeded authorized speed limit8 (2.4%)14.3%prior 7
Distracted7 (2.1%)40.0%prior 5

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

Road & Environmental Conditions

Crash conditions remained broadly similar year-over-year, with the majority of incidents in both 2021 and 2022 occurring in daylight (222 and 220 crashes, respectively) and on dry roads (273 and 271 crashes, respectively). Clear weather was the predominant condition in both periods. There was a decrease in crashes occurring during adverse weather, with the count of incidents involving rain, snow, or sleet dropping from 49 in 2021 to 36 in 2022.

Weather

Clear133 (40.9%)
-1.5%prior 135
Clear/Clear122 (37.5%)
-0.8%prior 123
Cloudy18 (5.5%)
0.0%prior 18
Rain9 (2.8%)
-35.7%prior 14
Cloudy/Cloudy7 (2.2%)
Snow/Sleet, hail (freezing rain or drizzle)5 (1.5%)
Blowing sand, snow3 (0.9%)
Rain/Cloudy3 (0.9%)
Rain/Rain3 (0.9%)
-70.0%prior 10
Sleet, hail (freezing rain or drizzle)/Sleet, hail (freezing rain or drizzle)3 (0.9%)

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

Lighting

Daylight220 (67.1%)
-0.9%prior 222
Dark - lighted roadway58 (17.7%)
9.4%prior 53
Dark - roadway not lighted27 (8.2%)
-28.9%prior 38
Dusk11 (3.4%)
-21.4%prior 14
Dark - unknown roadway lighting6 (1.8%)
Dawn6 (1.8%)
20.0%prior 5

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

Road Surface

Dry271 (82.6%)
-0.7%prior 273
Wet34 (10.4%)
-30.6%prior 49
Snow14 (4.3%)
75.0%prior 8
Ice6 (1.8%)
Slush3 (0.9%)

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

Vehicles & Demographics

The demographics of persons involved in crashes showed some shifts, with the 35-44 age group becoming the most represented in 2022 (114 persons) compared to the 26-34 age group in 2021 (131 persons). Regarding vehicle makes, Toyota, Ford, and Honda remained the top three most frequently involved manufacturers in both years. Notably, the number of Toyota vehicles in crashes increased from 56 in 2021 to 83 in 2022, and Ford vehicles increased from 49 to 67 over the same period.

Top Vehicle Makes (596 vehicles)

1
TOYOTA83 (13.9%)
48.2%prior 56
2
FORD67 (11.2%)
36.7%prior 49
3
HONDA47 (7.9%)
-4.1%prior 49
4
CHEVROLET32 (5.4%)
6.7%prior 30
5
NISSAN31 (5.2%)
40.9%prior 22
6
JEEP26 (4.4%)
0.0%prior 26
7
SUBARU19 (3.2%)
46.2%prior 13
8
HYUNDAI14 (2.3%)
-46.2%prior 26
9
GMC14 (2.3%)
55.6%prior 9
10
DODGE9 (1.5%)
-10.0%prior 10

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

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

Sex Distribution (711 persons with recorded sex)

Male405 (57.0%)
-4.9%prior 426
Female306 (43.0%)
5.5%prior 290

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

Speed Limit Zones

The distribution of crashes across different speed zones shifted between the two years. In 2022, there was an increase in crashes in 40 mph zones (37, up from 29) and 50 mph zones (24, up from 17). Concurrently, crashes in higher speed zones of 55 mph and 65 mph saw a combined decrease from 96 incidents in 2021 to 84 in 2022. The single fatal crash in 2021 occurred in a 55 mph zone, while the data for 2022 does not attribute its single fatal crash to a specific speed zone.

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

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: WRENTHAM, MA
  • Total crash records analyzed: 328
  • Total persons involved: 750
  • Total vehicles involved: 596

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