ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WEYMOUTH, 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/weymouth/2024-annual-report
Yearly Traffic Safety Analysis
1,125 CRASHES IN
WEYMOUTH, MA
2024
In 2024, Weymouth recorded 1,125 total vehicle crashes, a slight increase of 0.5% from the 1,119 crashes recorded in 2023. While overall crash volume remained stable, incidents involving pedestrians saw a notable year-over-year increase of 64.3%, rising from 14 to 23. Concurrently, total fatalities decreased from 3 to 2, and total injuries fell by 1.9%.
1,125
▲ 0.5%was 1,119
Total Crash Events
2
▼ -33.3%was 3
Persons Killed
416
▼ -1.9%was 424
Persons Injured
103
▲ 35.5%was 76
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 55 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 crash trends in Weymouth remained relatively stable year-over-year, with total crashes increasing by a marginal 0.5% from 1,119 in 2023 to 1,125 in 2024. Despite the slight rise in total incidents, the number of resulting injuries decreased by 1.9% from 424 to 416. Fatalities also declined, falling from 3 in the prior year to 2 in the current year.
103
Hit-and-Run Crashes — 2024
▲ 35.5% vs prior (76)
Hit-and-run incidents increased significantly in 2024 compared to the previous year. The total number of hit-and-run crashes rose from 76 in 2023 to 103 in 2024, representing a 35.5% increase in count. This pushed the hit-and-run rate, or the percentage of total crashes that were hit-and-runs, up from 6.8% to 9.2%.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
21
Pedestrians Injured
11
Cyclists Injured
380
Motorists Injured
4
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 day for crashes was Saturday with 179 incidents, a change from 2023 when Friday was the peak day with 187 crashes. Similarly, the peak hour for collisions moved earlier in the day, from the 5 p.m. hour in 2023 (98 crashes) to the 2 p.m. hour in 2024 (89 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
The severity of crashes saw a slight reduction year-over-year. The fatal crash rate decreased from 0.27 per 100 crashes in 2023 to 0.18 in 2024, corresponding to a drop from 3 to 2 fatal incidents. While the overall proportion of crashes involving any injury remained stable at approximately 25.7%, there was a shift within injury categories; the share of minor injury crashes increased from 15.6% to 16.9%, while the share of serious injury crashes decreased from 2.0% to 1.7%.
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
The ranking of top contributing factors shifted between periods, with 'Failed to yield right of way' moving from the third to the second most common factor. The count of crashes attributed to failing to yield increased by 44.4%, from 153 incidents in 2023 to 221 in 2024. In contrast, crashes linked to 'Inattention' decreased in count by 6.0% (from 183 to 172), while those involving 'Followed too closely' rose by 9.6% (from 114 to 125).
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
Crash conditions remained broadly similar year-over-year, with the vast majority of incidents in both periods occurring during daylight on dry roads. In 2024, the proportion of crashes in clear weather increased, accounting for 74.5% of all incidents compared to 68.8% in 2023. Correspondingly, the share of crashes on wet road surfaces decreased from 17.9% in 2023 to 15.8% in 2024.
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 five vehicle makes involved in crashes—Toyota, Ford, Honda, Chevrolet, and Nissan—were identical in both 2023 and 2024, with Toyota remaining the most common make in both periods. The number of Toyotas in crashes increased from 374 to 405, while Chevrolet involvement decreased from 211 to 176. The age distribution of persons involved in crashes was also consistent, with the 26-34 age group being the largest in both years, accounting for 449 individuals in 2023 and 443 in 2024.
Top Vehicle Makes (2,226 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
289 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,456 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
Analysis of crashes by speed zone indicates a shift in incident locations between the two years. Crashes occurring in 30 mph zones decreased from 528 in 2023 to 448 in 2024. Conversely, crashes in 35 mph zones increased from 218 to 273 over the same period. Fatal crashes also occurred in different zones; in 2023, fatalities were recorded in 30 mph and 60 mph zones, whereas in 2024, they occurred in 35 mph and 60 mph zones.
Fatal crashes by zone: 35 mph: 1 of 273 (0.366%) · 60 mph: 1 of 94 (1.064%)
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: WEYMOUTH, MA
- Total crash records analyzed: 1,125
- Total persons involved: 2,782
- Total vehicles involved: 2,226
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). "WEYMOUTH, 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/weymouth/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