ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · PLYMOUTH, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/plymouth/2024-annual-report
Yearly Traffic Safety Analysis
963 CRASHES IN
PLYMOUTH, MA
2024
In 2024, Plymouth recorded 963 total traffic crashes, an increase from the 881 crashes documented in 2023, representing a 9.3% rise. The most significant year-over-year change was the number of fatalities, which increased from 1 in 2023 to 5 in 2024.
963
▲ 9.3%was 881
Total Crash Events
5
▲ 400.0%was 1
Persons Killed
367
▲ 14.0%was 322
Persons Injured
69
▲ 176.0%was 25
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 22 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends in Plymouth worsened from 2023 to 2024. Total crashes increased by 9.3%, from 881 to 963. Similarly, the number of people injured rose by 14.0% from 322 to 367, and fatalities increased from 1 to 5.
69
Hit-and-Run Crashes — 2024
▲ 176.0% vs prior (25)
Hit-and-run incidents increased substantially from 2023 to 2024. The number of hit-and-run crashes rose from 25 to 69, a 176% increase. This upward trend is also reflected in the hit-and-run rate, which climbed from 2.8% of all crashes in 2023 to 7.2% in 2024.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
5
Motorists Killed
0
Other Killed
11
Pedestrians Injured
10
Cyclists Injured
343
Motorists Injured
3
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In 2024, the peak days for crashes were Friday and Saturday, each with 150 incidents, a change from 2023 when Wednesday and Thursday were the busiest days with 135 crashes each. The peak hour for collisions also moved earlier, from 4 p.m. in 2023 (72 crashes) to 2 p.m. in 2024 (81 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity increased from 2023 to 2024. The number of fatal crashes rose from 1 to 5, and the corresponding fatal crash rate increased from 0.11% to 0.52%. The proportion of crashes resulting in any injury also grew, with serious injuries accounting for 2.4% of crashes in 2024 compared to 2.2% in 2023. Consequently, the share of crashes with no reported injuries decreased from 72.1% in 2023 to 68.8% in 2024.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
In both years, 'Inattention' was the leading contributing factor, with its count increasing by 13.0% from 169 incidents in 2023 to 191 in 2024. Crashes attributed to 'No improper driving' saw a significant 54.2% increase in count, from 107 in 2023 to 165 in 2024, moving it from the third to the second-ranked factor. Crashes involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also increased in count by 24.2% from 66 to 82.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of environmental conditions during crashes remained largely consistent between 2023 and 2024. In both periods, crashes predominantly occurred in 'Daylight' (65.0% of crashes in 2024 vs. 67.0% in 2023) on 'Dry' road surfaces (76.7% in 2024 vs. 76.0% in 2023). The proportion of crashes during 'Clear' weather was also stable, at 71.4% in 2024 compared to 70.9% in 2023, indicating no significant shift in crashes related to adverse conditions.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Toyota, Ford, and Honda in both 2023 and 2024, with only minor changes in their rankings. When examining the age of persons involved in collisions, there was an increase in the representation of the 26-34 age group, which grew from comprising 13.2% of individuals in 2023 to 15.6% in 2024. The proportional involvement of other age groups remained relatively stable.
Top Vehicle Makes (1,686 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
142 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,931 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones showed some shifts, with incidents in 60 mph zones increasing from 120 to 130 year-over-year, while the number of crashes in 30 mph and 40 mph zones remained stable. A significant change was observed in the location of fatal crashes; in 2024, three of the five fatal crashes occurred in 60 mph zones, whereas the single fatal crash in 2023 occurred in a 35 mph zone.
Fatal crashes by zone: 30 mph: 1 of 302 (0.331%) · 40 mph: 1 of 132 (0.758%) · 60 mph: 3 of 130 (2.308%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: PLYMOUTH, MA
- Total crash records analyzed: 963
- Total persons involved: 2,116
- Total vehicles involved: 1,686
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/plymouth/2024-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved