ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · TAUNTON, MA · 2023
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/2023-annual-report
Yearly Traffic Safety Analysis
2,252 CRASHES IN
TAUNTON, MA
2023
In 2023, Taunton recorded 2,252 total crashes, a 4.1% increase from the 2,163 crashes documented in 2022. The total number of fatalities increased from 3 to 4 year-over-year, while total injuries remained stable at 578. A notable year-over-year shift was the 37.8% increase in hit-and-run crashes, which rose from 164 in 2022 to 226 in 2023.
2,252
▲ 4.1%was 2,163
Total Crash Events
4
▲ 33.3%was 3
Persons Killed
578
Persons Injured
226
▲ 37.8%was 164
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 129 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Taunton show an increase year-over-year, with total collisions rising by 4.1% from 2,163 in 2022 to 2,252 in 2023. While the total number of injuries remained unchanged at 578 for both periods, the number of fatalities increased from 3 to 4.
226
Hit-and-Run Crashes — 2023
▲ 37.8% vs prior (164)
Hit-and-run incidents increased significantly between the two periods. The total count of hit-and-run crashes rose by 37.8%, from 164 in 2022 to 226 in 2023. This pushed the hit-and-run rate, as a percentage of total crashes, from 7.6% to 10.0%, indicating a clear upward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
3
Pedestrians Injured
14
Cyclists Injured
561
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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 a shift in the peak day of the week, moving from Friday (367 crashes) in 2022 to Thursday (373 crashes) in 2023. The peak hour for crashes remained consistent at 4 p.m. in both periods, though the number of incidents during that hour increased from 197 to 206. Crashes on Thursdays saw the most significant increase in volume year-over-year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes showed a slight increase in 2023 compared to the prior year. The number of fatal crashes rose from 3 to 4, increasing the fatal crash rate from 0.14% to 0.18% of all crashes. The count of crashes involving serious injuries also increased from 29 to 32, while the proportion of crashes resulting in no injuries grew slightly from 74.7% to 75.1%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The top contributing factors remained consistent, with 'Inattention' and 'Failed to yield right of way' ranking among the top three in both years. However, the count for several specific driver actions increased notably; crashes attributed to 'Failed to yield right of way' rose by 17.3% from 300 to 352 incidents. The count of crashes involving 'Followed too closely' increased by 26.7% from 187 to 237, and those where a driver 'Disregarded traffic signs' grew by 54.5% from 44 to 68.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly similar, with the majority of incidents in both years occurring in daylight and on dry roads. There was a notable increase in the proportion of crashes on wet roads, which grew from representing 13.0% of all crashes in 2022 to 15.3% in 2023. Conversely, crashes on roads with snow or ice decreased significantly, from 108 incidents in 2022 to 27 in 2023.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The ranking of the top three vehicle makes involved in crashes shifted, with Honda (458 vehicles) overtaking Ford (442 vehicles) for the second position in 2023; Toyota remained the most common make with 638 vehicles involved. An analysis of persons involved in crashes shows a notable increase in the 35-44 age group, which grew from 757 individuals in 2022 to 916 in 2023. The 65+ age group also saw an increase in involvement, from 404 to 482 persons.
Top Vehicle Makes (4,099 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
435 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,543 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
The 30 mph speed zone continued to account for the highest number of crashes, with incidents increasing from 863 in 2022 to 939 in 2023. A significant shift occurred in 25 mph zones, where the number of crashes more than doubled from 106 to 212. The distribution of fatal crashes also changed; in 2022, fatalities occurred in 30 mph and 35 mph zones, whereas in 2023, they were recorded in 25 mph, 30 mph, and 65 mph zones.
Fatal crashes by zone: 25 mph: 1 of 212 (0.472%) · 30 mph: 2 of 939 (0.213%) · 65 mph: 1 of 167 (0.599%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: TAUNTON, MA
- Total crash records analyzed: 2,252
- Total persons involved: 5,029
- Total vehicles involved: 4,099
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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/taunton/2023-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: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved