ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MEDFORD, 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/medford/2025-annual-report
Yearly Traffic Safety Analysis
1,186 CRASHES IN
MEDFORD, MA
2025
In 2025, Medford recorded 1,186 total crashes, a 12.8% decrease from the 1,360 crashes reported in 2024. Despite the overall reduction in collisions, the number of fatalities increased from one in the prior year to three in the current year. Total injuries saw a corresponding decrease, falling 22.5% from 342 to 265.
1,186
▼ -12.8%was 1,360
Total Crash Events
3
▲ 200.0%was 1
Persons Killed
265
▼ -22.5%was 342
Persons Injured
236
▼ -0.4%was 237
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 147 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 crashes in Medford shows a notable decrease year-over-year. Total crashes fell by 12.8% from 1,360 in 2024 to 1,186 in 2025, and total injuries declined by 22.5%. However, this downward trend in crash volume was contrasted by an increase in fatalities, which rose from one to three over the same period.
236
Hit-and-Run Crashes — 2025
▼ -0.4% vs prior (237)
The total number of hit-and-run crashes remained nearly unchanged, with 236 incidents in 2025 compared to 237 in 2024. However, because the total number of crashes decreased year-over-year, the hit-and-run rate trended upward. Hit-and-runs constituted 19.9% of all crashes in 2025, an increase from the 17.4% rate in the prior year.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
19
Pedestrians Injured
18
Cyclists Injured
225
Motorists Injured
3
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 showed some shifts between the two years. While Friday remained the peak day for crashes in both 2024 (222 crashes) and 2025 (194 crashes), the peak hour for collisions moved later in the day. In 2025, the highest number of crashes occurred at 4 p.m. with 100 incidents, a shift from the 2 p.m. peak of 113 crashes observed in the prior 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 the total number of crashes decreased, their severity profile changed. The number of fatal crashes increased from one in 2024 to three in 2025, raising the fatal crash rate from 0.07 to 0.25 per 100 crashes. The proportion of crashes resulting in any type of injury (serious, minor, or possible) decreased from 19.3% in 2024 to 17.2% in 2025, with serious injury crashes falling from 17 to 10.
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
The leading contributing factors remained broadly similar, though their counts shifted. "Followed too closely" remained the second most-cited factor, with its count decreasing from 150 to 137. "Failed to yield right of way" saw a significant drop in count from 129 to 88, causing it to fall from the 3rd to the 4th ranked factor. Conversely, crashes attributed to "Inattention" increased in count from 92 to 98, moving it up to become 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 distribution of crashes across environmental conditions remained largely stable year-over-year. In both periods, the vast majority of crashes occurred in daylight (67.3% in 2025 vs. 68.8% in 2024) and on dry roads (79.3% in 2025 vs. 77.8% in 2024). The proportion of crashes on wet roads saw a slight decrease, accounting for 13.4% of collisions in 2025 compared to 16.4% in the previous year.
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 demographic profile of vehicles involved in crashes showed consistency between the two years. The top three vehicle makes remained Toyota, Honda, and Ford, respectively, in both 2024 and 2025, although the number of vehicles from each make involved in crashes declined. The age distribution of persons involved also showed a stable pattern, with the 26-34 age group representing the largest cohort in both periods, accounting for 23.6% of persons in 2025 versus 22.1% in 2024.
Top Vehicle Makes (2,306 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
569 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,150 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
Crashes predominantly occurred in 25 mph speed zones in both years, accounting for 839 crashes in 2025 and 912 in 2024. The distribution of crashes across other speed zones also remained relatively stable. In 2024, the single fatal crash with a recorded speed limit occurred in a 25 mph zone. In 2025, one fatal crash occurred in a 25 mph zone and another occurred in a 65 mph zone.
Fatal crashes by zone: 25 mph: 1 of 839 (0.119%) · 65 mph: 1 of 21 (4.762%)
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: MEDFORD, MA
- Total crash records analyzed: 1,186
- Total persons involved: 2,723
- Total vehicles involved: 2,306
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). "MEDFORD, 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/medford/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