ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · TAUNTON, 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/taunton/2024-annual-report
Yearly Traffic Safety Analysis
2,229 CRASHES IN
TAUNTON, MA
2024
In 2024, Taunton recorded 2,229 total traffic crashes, a 1.0% decrease from the 2,252 crashes reported in 2023. While the overall crash volume remained stable, the most significant year-over-year change was a 116.7% increase in pedestrian-involved crashes, which rose from 12 in 2023 to 26 in 2024.
2,229
▼ -1.0%was 2,252
Total Crash Events
5
▲ 25.0%was 4
Persons Killed
601
▲ 4.0%was 578
Persons Injured
216
▼ -4.4%was 226
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. 101 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 crash volume in Taunton remained stable, decreasing by approximately 1.0% from 2,252 incidents in 2023 to 2,229 in 2024. Despite the slight drop in total crashes, the number of resulting injuries increased by 4.0% (from 578 to 601), and the number of fatalities rose from 4 to 5.
216
Hit-and-Run Crashes — 2024
▼ -4.4% vs prior (226)
Hit-and-run incidents showed a slight downward trend in 2024 compared to the previous year. The total number of hit-and-run crashes decreased from 226 in 2023 to 216 in 2024. Correspondingly, the hit-and-run rate, as a percentage of total crashes, also declined from 10.0% to 9.7%.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
0
Other Killed
12
Pedestrians Injured
17
Cyclists Injured
569
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 temporal patterns of crashes showed both consistency and change year-over-year. The peak hour for collisions remained the 4 PM hour in both 2023 (206 crashes) and 2024 (212 crashes). However, the day with the most crashes shifted from Thursday in 2023 (373 crashes) to Friday in 2024 (359 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 increase in 2024. The fatal crash rate rose from 0.18% in 2023 (4 fatal crashes) to 0.22% in 2024 (5 fatal crashes). The proportion of crashes resulting in any level of injury increased from 19.0% of all crashes in 2023 to 19.9% in 2024, while the share of no-injury crashes remained stable at approximately 75% for both years.
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 leading contributing factors for crashes in Taunton shifted between 2023 and 2024. 'Inattention' became the top factor in 2024, with the number of related crashes increasing by 22.8% from 355 to 436. This displaced 'No improper driving,' which saw its count remain stable (398 to 396) but dropped to the second position. The count for 'Failed to yield right of way' decreased by 10.5% from 352 to 315, though it remained the third most common factor in both years.
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 in 2024 were broadly similar to 2023, with the majority of incidents in both years occurring on dry roads during daylight hours. There was a slight shift toward more crashes in clear conditions, which accounted for 78.4% of incidents in 2024 compared to 75.4% in 2023. Correspondingly, the proportion of crashes on wet roads decreased from 15.3% in 2023 to 12.5% 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 makes of vehicles involved in crashes remained consistent, with Toyota, Honda, and Ford being the top three most frequent makes in both 2023 and 2024. Analysis of the age of persons involved in crashes shows a shift, with a 9.5% increase in individuals aged 35-44 (from 916 to 1,003) and a 21.1% increase in those aged 45-54 (from 634 to 768). Conversely, the number of people in the 55-64 age group involved in crashes decreased by 7.0%.
Top Vehicle Makes (4,065 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
422 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,692 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 30 mph speed zone continued to be the location for the highest number of crashes in both periods, accounting for 925 crashes in 2024, down slightly from 939 in 2023. Crashes decreased across most other major speed zones, including the 25 mph, 35 mph, and 65 mph zones. Fatal crashes were more dispersed in 2024, occurring in 20, 25, 30, and 50 mph zones, whereas in 2023 they were concentrated in the 25, 30, and 65 mph zones.
Fatal crashes by zone: 20 mph: 1 of 150 (0.667%) · 25 mph: 2 of 180 (1.111%) · 30 mph: 1 of 925 (0.108%) · 50 mph: 1 of 25 (4%)
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: TAUNTON, MA
- Total crash records analyzed: 2,229
- Total persons involved: 5,167
- Total vehicles involved: 4,065
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). "TAUNTON, 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/taunton/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