Monthly Traffic Safety Analysis

66 CRASHES IN
PLYMOUTH, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, Plymouth experienced 66 total crashes, an 8.3% decrease compared to the 72 crashes recorded in April 2021. Notably, crashes involving drivers operating vehicles in an erratic, reckless, careless, negligent, or aggressive manner increased by 77.8% year-over-year. There were no fatalities in either period.

66

-8.3%was 72

Total Crash Events

0

Persons Killed

24

4.3%was 23

Persons Injured

2

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 slight decrease in total crashes, falling from 72 in April 2021 to 66 in April 2022. This represents an 8.3% reduction in crash incidents year-over-year.

2

Hit-and-Run Crashes — April 2022

3.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

24

Motorists Injured

Prior: 2114.3%

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

Saturday remained the peak day for crashes in both periods, with 14 incidents each. However, the peak hour for crashes shifted from 3 PM with 9 crashes in April 2021 to 2 PM with 7 crashes in April 2022. Crashes occurring at 12 AM saw an increase from 0 in April 2021 to 3 in April 2022.

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

Both April 2022 and April 2021 recorded no traffic fatalities. Total injuries saw a slight increase from 23 in April 2021 to 24 in April 2022. Serious injury crashes, coded as 'A', increased from 0 in April 2021 to 3 in April 2022, while minor injury crashes decreased from 14 to 11.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes4.5%
Minor Injury11minor injury crashes16.7%
-21.4%prior 14
Possible Injury4possible injury crashes6.1%
-20.0%prior 5
No Injury47no injury crashes71.2%
-11.3%prior 53

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

Crashes attributed to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased significantly from 9 in April 2021 to 16 in April 2022, representing a 77.8% rise in count. Conversely, crashes where 'No improper driving' was cited decreased from 14 to 6, and 'Failed to yield right of way' crashes dropped from 10 to 5. 'Inattention' remained constant with 10 crashes in both periods.

Officer-Reported Primary Contributing Cause

Operating vehicle in erratic, reckless, careless, negligent or aggressive manner16 (24.2%)77.8%prior 9
Inattention10 (15.2%)0.0%prior 10
No improper driving6 (9.1%)-57.1%prior 14
Failed to yield right of way5 (7.6%)-50.0%prior 10
Followed too closely4 (6.1%)
Distracted3 (4.5%)
Over-correcting/over-steering3 (4.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (4.5%)
Other improper action2 (3%)
Disregarded traffic signs, signals, road markings2 (3%)

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 conditions increased from 48 in April 2021 to 55 in April 2022, while those in 'Wet' road surface conditions decreased from 12 to 5. Crashes during 'Daylight' decreased from 56 to 43, with a corresponding increase in crashes occurring in 'Dark - roadway not lighted' conditions from 9 to 11.

Weather

Clear55 (83.3%)
14.6%prior 48
Cloudy4 (6.1%)
-55.6%prior 9
Rain3 (4.5%)
-50.0%prior 6
Rain/Cloudy2 (3.0%)
Clear/Cloudy1 (1.5%)
Clear/Unknown1 (1.5%)

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

Lighting

Daylight43 (65.2%)
-23.2%prior 56
Dark - roadway not lighted11 (16.7%)
22.2%prior 9
Dark - lighted roadway7 (10.6%)
Dark - unknown roadway lighting3 (4.5%)
Dusk2 (3.0%)

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

Road Surface

Dry61 (92.4%)
3.4%prior 59
Wet5 (7.6%)
-58.3%prior 12

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 120 in April 2021 to 108 in April 2022. Toyota remained the top vehicle make involved, though its count decreased from 21 to 18. There was a notable increase in persons aged 0-15 involved in crashes, rising from 9 to 17, and a shift in sex distribution with male involvement increasing from 66 to 84 and female involvement decreasing from 72 to 49.

Top Vehicle Makes (108 vehicles)

1
TOYOTA18 (16.7%)
-14.3%prior 21
2
FORD15 (13.9%)
7.1%prior 14
3
NISSAN9 (8.3%)
0.0%prior 9
4
CHEVROLET9 (8.3%)
-10.0%prior 10
5
HONDA8 (7.4%)
33.3%prior 6
6
GMC7 (6.5%)
40.0%prior 5
7
JEEP6 (5.6%)
-45.5%prior 11
8
DODGE5 (4.6%)
9
KIA4 (3.7%)
10
SUBARU4 (3.7%)

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

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

Sex Distribution (133 persons with recorded sex)

Male84 (63.2%)
27.3%prior 66
Female49 (36.8%)
-31.9%prior 72

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 in the 60 mph speed zone decreased from 11 in April 2021 to 6 in April 2022. Crashes in the 25 mph speed zone increased from 5 to 7, while crashes in the 20 mph zone decreased from 6 to 3. The 30 mph and 40 mph speed zones maintained consistent crash counts of 27 and 10 respectively across both periods, with no fatalities reported in any speed zone.

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: PLYMOUTH, MA
  • Total crash records analyzed: 66
  • Total persons involved: 147
  • Total vehicles involved: 108

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). "PLYMOUTH, 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/plymouth/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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Plymouth, MA Crash Report — April 2022 | ThatCarHitMe.com