Monthly Traffic Safety Analysis

99 CRASHES IN
CAMBRIDGE, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, CAMBRIDGE experienced 99 crashes, a decrease from the 113 crashes recorded in August 2024, representing a 12.4% reduction year-over-year. This period also saw a significant decrease in total injuries, falling from 46 to 30, a reduction of 34.8%.

99

-12.4%was 113

Total Crash Events

0

Persons Killed

30

-34.8%was 46

Persons Injured

34

13.3%was 30

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 22 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for August shows a downward trend in CAMBRIDGE, with total crashes decreasing by 12.4% from 113 in August 2024 to 99 in August 2025. Concurrently, total injuries saw a substantial reduction of 34.8%, decreasing from 46 to 30 over the same period.

34

Hit-and-Run Crashes — August 2025

13.3% vs prior (30)

The number of hit-and-run crashes increased from 30 in August 2024 to 34 in August 2025. This change corresponds to an increase in the hit-and-run rate, which rose from 26.5% to 34.3% of all crashes year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 4-75.0%

5

Cyclists Injured

Prior: 9-44.4%

22

Motorists Injured

Prior: 29-24.1%

2

Other Injured

Prior: 4-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Wednesday in August 2024, which recorded 32 incidents, to Tuesday in August 2025, with 21 incidents. The peak crash hour also shifted from 6 p.m. in the prior period to 4 p.m. in the current period, with both hours recording 10 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both August 2024 and August 2025. Crashes resulting in serious injuries decreased from 5 to 2, while minor injury crashes fell from 20 to 18. Possible injury crashes also saw a reduction, from 7 to 4, indicating a general decrease in injury severity across incidents.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes2%
-60.0%prior 5
Minor Injury18minor injury crashes18.2%
-10.0%prior 20
Possible Injury4possible injury crashes4%
-42.9%prior 7
No Injury53no injury crashes53.5%
-10.2%prior 59

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' decreased by 11, from 33 in August 2024 to 22 in August 2025. Crashes involving 'Failed to yield right of way' also saw a reduction, dropping from 15 to 8. Conversely, crashes linked to 'Other improper action', 'Inattention', and 'Disregarded traffic signs, signals, road markings' each increased by 4 incidents.

Officer-Reported Primary Contributing Cause

No improper driving22 (22.2%)-33.3%prior 33
Failed to yield right of way8 (8.1%)-46.7%prior 15
Other improper action7 (7.1%)
Inattention6 (6.1%)
Disregarded traffic signs, signals, road markings5 (5.1%)
Failure to keep in proper lane or running off road4 (4%)
Followed too closely3 (3%)
Made an improper turn1 (1%)
Visibility obstructed1 (1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 89 in August 2024 to 82 in August 2025, while crashes in rainy conditions decreased from 9 to 4. Similarly, incidents on dry road surfaces fell from 93 to 81, and those on wet surfaces dropped from 12 to 4. Crashes during daylight hours also decreased from 95 to 73.

Weather

Clear57 (61.3%)
-24.0%prior 75
Clear/Clear25 (26.9%)
78.6%prior 14
Unknown/Unknown3 (3.2%)
Rain2 (2.2%)
-66.7%prior 6
Rain/Cloudy2 (2.2%)
Cloudy2 (2.2%)
-75.0%prior 8
Clear/Unknown2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight73 (84.9%)
-23.2%prior 95
Dark - lighted roadway10 (11.6%)
42.9%prior 7
Dark - roadway not lighted1 (1.2%)
Dawn1 (1.2%)
Other1 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry81 (94.2%)
-12.9%prior 93
Wet4 (4.7%)
-66.7%prior 12
Sand, mud, dirt, oil, gravel1 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 202 in August 2024 to 180 in August 2025. Among vehicle makes, Toyota crashes decreased by 12 (from 42 to 30), while Ford crashes increased by 5 (from 12 to 17). Significant shifts were observed in age distribution, with persons aged 21-25 involved in crashes decreasing from 32 to 9, and those aged 45-54 decreasing from 35 to 12.

Top Vehicle Makes (180 vehicles)

1
TOYOTA30 (16.7%)
-28.6%prior 42
2
HONDA20 (11.1%)
-13.0%prior 23
3
FORD17 (9.4%)
41.7%prior 12
4
SUBARU9 (5%)
-10.0%prior 10
5
HYUNDAI8 (4.4%)
0.0%prior 8
6
MERCEDES-BENZ8 (4.4%)
14.3%prior 7
7
MAZDA7 (3.9%)
8
CHEVROLET6 (3.3%)
-14.3%prior 7
9
AUDI6 (3.3%)
10
KIA6 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

55 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (156 persons with recorded sex)

Male110 (70.5%)
-5.2%prior 116
Female46 (29.5%)
-55.3%prior 103

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 20 mph speed zones decreased from 19 in August 2024 to 12 in August 2025, and crashes in 25 mph zones also fell from 78 to 72. Conversely, incidents in 30 mph zones increased from 3 to 4, and those in 35 mph zones rose from 3 to 5. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: CAMBRIDGE, MA
  • Total crash records analyzed: 99
  • Total persons involved: 210
  • Total vehicles involved: 180

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/cambridge/august-2025-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

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Cambridge, MA Crash Report — August 2025 | ThatCarHitMe.com