ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CAMBRIDGE, 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/cambridge/2025-annual-report
Yearly Traffic Safety Analysis
1,387 CRASHES IN
CAMBRIDGE, MA
2025
In 2025, Cambridge recorded 1,387 total crashes, a 12.0% decrease from the 1,577 crashes documented in 2024. This year-over-year decline in total collisions was accompanied by a notable reduction in traffic fatalities, which dropped from 4 in the prior period to 1 in the current period.
1,387
▼ -12.0%was 1,577
Total Crash Events
1
▼ -75.0%was 4
Persons Killed
371
▼ -8.6%was 406
Persons Injured
437
▼ -9.9%was 485
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. 282 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
Overall traffic crash trends in Cambridge show a decline year-over-year. Total crashes decreased by 12.0%, from 1,577 in 2024 to 1,387 in 2025. Correspondingly, total reported injuries fell by 8.6% from 406 to 371, and the number of fatalities decreased from 4 to 1.
437
Hit-and-Run Crashes — 2025
▼ -9.9% vs prior (485)
The total number of hit-and-run incidents decreased by 9.9%, from 485 in 2024 to 437 in 2025. Despite this drop in the absolute count of such events, the hit-and-run rate as a proportion of all crashes increased slightly. In 2025, hit-and-runs accounted for 31.5% of all crashes, compared to 30.8% in the previous year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
62
Pedestrians Injured
89
Cyclists Injured
197
Motorists Injured
23
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. The peak day for collisions moved from Thursday (273 crashes) in 2024 to Tuesday (263 crashes) in 2025. The single busiest hour also shifted earlier in the day, from 5 PM in the prior year (121 crashes) to 2 PM in the current year (112 crashes), though the afternoon hours remained the highest frequency period for crashes in both years.
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
The severity of crashes lessened, with the fatal crash rate decreasing from 0.25% in 2024 to 0.07% in 2025. While the count of fatal and serious injury crashes declined, the proportion of crashes resulting in minor injuries increased from a 14.6% share to a 17.4% share of all crashes. Crashes resulting in no injury accounted for 55.9% of all incidents in 2025, down slightly from 57.3% in 2024.
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 top three contributing factors cited in crashes remained the same across both years: 'No improper driving,' 'Failed to yield right of way,' and 'Other improper action.' However, the count for several key factors decreased, with crashes attributed to 'Failed to yield right of way' dropping by 31.4% from 159 incidents in 2024 to 109 in 2025. Crashes involving 'Followed too closely' also decreased in count by 25.5% from 55 to 41. In contrast, the number of crashes attributed to 'Inattention' saw a slight increase from 75 to 77 incidents.
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 environmental conditions under which crashes occurred were largely stable year-over-year. The proportion of collisions happening in clear weather was 73.0% in 2025 and 70.5% in 2024. Crash proportions during daylight hours (66.1% vs 66.8%) and on dry road surfaces (75.6% vs 75.0%) were also consistent between the current and prior periods, indicating no significant shift in the role of adverse conditions.
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 makes of vehicles involved in crashes showed a consistent pattern, with Toyota, Honda, and Ford being the top three in both periods, although their total counts all decreased in 2025. The top four vehicle makes were identical year-over-year. An analysis of persons involved shows the 26-34 age group was the largest demographic in both years, but its share of the total decreased from 25.3% in 2024 to 24.2% in 2025. Conversely, the share of the 35-44 age group increased from 18.0% to 20.4%.
Top Vehicle Makes (2,425 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
779 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,259 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 in the most common 25 MPH speed zones decreased from 1,085 in 2024 to 1,008 in 2025. Significant count reductions were also seen in other zones, with crashes in 20 MPH zones falling by 21.2% and in 35 MPH zones by 38.6%. The single fatal crash in 2025 occurred in a 25 MPH zone, whereas 2024's four fatalities were recorded in 20 MPH, 25 MPH, and 30 MPH zones.
Fatal crashes by zone: 25 mph: 1 of 1,008 (0.099%)
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: CAMBRIDGE, MA
- Total crash records analyzed: 1,387
- Total persons involved: 3,029
- Total vehicles involved: 2,425
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). "CAMBRIDGE, 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/cambridge/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