ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · DANVERS, MA · 2025
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/danvers/2025-annual-report
Yearly Traffic Safety Analysis
487 CRASHES IN
DANVERS, MA
2025
In 2025, Danvers recorded 487 total traffic crashes, a 14.1% increase from the 427 crashes documented in 2024. Despite the rise in total incidents, the number of fatalities decreased from two in the prior year to one in the current year. The total number of injuries remained relatively stable, with 173 people injured in 2025 compared to 176 in 2024.
487
▲ 14.1%was 427
Total Crash Events
1
▼ -50.0%was 2
Persons Killed
173
▼ -1.7%was 176
Persons Injured
26
▲ 30.0%was 20
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in traffic incidents shows a notable increase year-over-year, with total crashes rising by 14.1% from 427 to 487. However, this upward trend in crash volume did not correspond to an increase in severity. Total injuries decreased slightly from 176 to 173, and the number of fatalities fell from two to one.
26
Hit-and-Run Crashes — 2025
▲ 30.0% vs prior (20)
Hit-and-run incidents trended upward in Danvers during this period. The total number of hit-and-run crashes increased by 30%, from 20 incidents in 2024 to 26 in 2025. This rise outpaced the overall increase in total crashes, causing the hit-and-run rate to climb from 4.7% of all crashes in the prior year to 5.3% in the current year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
3
Pedestrians Injured
10
Cyclists Injured
159
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods, with the peak day for crashes moving from Friday (75 incidents) in 2024 to Tuesday (89 incidents) in 2025. The afternoon commute remained the most frequent time for crashes, with the 3 p.m. hour being a peak time in both years, recording 45 crashes in 2025 and 42 in 2024. Crashes occurring on Tuesdays saw a significant 45.9% increase in count year-over-year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased, the severity profile of those incidents shifted toward less severe outcomes. The number of fatal crashes decreased from two in 2024 to one in 2025, and the fatal crash rate fell from 0.47 to 0.21 per 100 crashes. The proportion of crashes resulting in any level of injury declined from 31.6% in 2024 to 29.4% in 2025, as the number of 'No Injury' crashes grew from 285 to 332.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the most cited contributing factor in both periods, with the count of such incidents rising from 86 to 95. The most significant year-over-year growth was seen in crashes attributed to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner,' which increased from 18 to 34 incidents. Crashes due to 'Followed too closely' also surged by 71.0%, increasing from 31 to 53 incidents and becoming the third most common factor in 2025.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes in both years occurred under ideal conditions, with proportions remaining stable year-over-year. In 2025, 80.5% of crashes happened on dry roads and 72.3% occurred in daylight, nearly identical to the prior year's 81.5% and 72.6%, respectively. The share of crashes in clear weather was 77.2% in 2025, compared to 72.8% in 2024, indicating that adverse conditions were not a growing driver of the increase in total crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Honda (130 vehicles) and Toyota (122 vehicles) swapping the top two positions in 2025. An analysis of persons involved in crashes reveals a notable demographic shift, as the number of individuals in the 16-20 age group increased by 23.5%, from 119 in 2024 to 147 in 2025. The 21-25 age group also saw a significant 17.9% rise in involvement.
Top Vehicle Makes (902 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
80 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,092 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones shows that the 30 mph zone continues to be the most frequent location for incidents, with the count rising from 152 to 182 year-over-year. There was a notable 34.1% increase in crashes within 40 mph zones, from 44 to 59 incidents. The location of fatal crashes also shifted; in 2024, fatalities occurred in 30 mph and 50 mph zones, whereas the sole fatal crash in 2025 was recorded in a 55 mph zone.
Fatal crashes by zone: 55 mph: 1 of 40 (2.5%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: DANVERS, MA
- Total crash records analyzed: 487
- Total persons involved: 1,163
- Total vehicles involved: 902
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). "DANVERS, MA Crash Intelligence Report: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/danvers/2025-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: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved