Monthly Traffic Safety Analysis

49 CRASHES IN
MILTON, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in Milton, MA decreased by 30.98% year-over-year, from 71 crashes in August 2024 to 49 crashes in August 2025. Despite the overall decrease in crashes, hit-and-run incidents increased significantly, rising from 5 to 10.

49

▼ -31.0%was 71

Total Crash Events

0

Persons Killed

32

▼ -37.3%was 51

Persons Injured

10

▲ 100.0%was 5

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. 1 crash with unreported severity is 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

The overall trend for crashes in Milton, MA is downward, with a 30.98% decrease in total crashes year-over-year. The number of crashes fell from 71 in August 2024 to 49 in August 2025.

10

Hit-and-Run Crashes — August 2025

▲ 100.0% vs prior (5)

Hit-and-run crashes increased from 5 in August 2024 to 10 in August 2025, representing a 100% increase in count. Consequently, the hit-and-run rate rose from 7% of total crashes in the prior period to 20.4% in the current period, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

32

Motorists Injured

Prior: 47↓-31.9%

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 Friday in August 2024 (15 crashes) to Monday in August 2025 (12 crashes). The peak hour also changed from 10 p.m. in August 2024 (5 crashes) to 4 p.m. in August 2025 (5 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

Both periods reported zero fatal crashes. Total injuries decreased from 51 in August 2024 to 32 in August 2025. Serious injury crashes decreased from 2 (2.8% share) to 1 (2% share), while minor injury crashes decreased from 16 (22.5% share) to 11 (22.4% share).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2%
↓-50.0%prior 2
Minor Injury11minor injury crashes22.4%
↓-31.3%prior 16
Possible Injury10possible injury crashes20.4%
↓-9.1%prior 11
No Injury26no injury crashes53.1%
↓-33.3%prior 39

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' increased from 13 to 17, while 'Followed too closely' crashes significantly decreased from 12 to 3 (a 75% decrease in count). Crashes involving 'Failed to yield right of way' also decreased by 50% from 10 to 5. Notably, 'Exceeded authorized speed limit' appeared as a contributing factor in 2 crashes in August 2025, compared to 0 in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving17 (34.7%)↑30.8%prior 13
Failed to yield right of way5 (10.2%)↓-50.0%prior 10
Inattention5 (10.2%)↓-28.6%prior 7
Failure to keep in proper lane or running off road4 (8.2%)↓-50.0%prior 8
Followed too closely3 (6.1%)↓-75.0%prior 12
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (6.1%)
Made an improper turn2 (4.1%)
Exceeded authorized speed limit2 (4.1%)
Distracted2 (4.1%)
Other improper action2 (4.1%)

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' or 'Clear/Clear' weather conditions decreased from 54 in August 2024 to 46 in August 2025. The number of crashes on 'Wet' road surfaces significantly decreased from 10 in August 2024 to 1 in August 2025. Daylight crashes decreased from 41 to 30, while crashes in 'Dark - lighted roadway' conditions decreased from 17 to 13.

Weather

Clear/Clear36 (73.5%)
↑71.4%prior 21
Clear10 (20.4%)
↓-69.7%prior 33
Rain/Rain2 (4.1%)
Cloudy/Clear1 (2.0%)

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

Lighting

Daylight30 (62.5%)
↓-26.8%prior 41
Dark - lighted roadway13 (27.1%)
↓-23.5%prior 17
Dusk4 (8.3%)
Dark - roadway not lighted1 (2.1%)
↓-87.5%prior 8

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

Road Surface

Dry47 (97.9%)
↓-20.3%prior 59
Wet1 (2.1%)
↓-90.0%prior 10

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 137 in August 2024 to 93 in August 2025. Toyota remained the top make involved, though its count decreased from 25 to 17, and Honda remained second, decreasing from 22 to 11. Nissan, which was third in the prior period with 15 vehicles, was replaced by Jeep in the current period with 7 vehicles.

Top Vehicle Makes (93 vehicles)

1
TOYOTA17 (18.3%)
↓-32.0%prior 25
2
HONDA11 (11.8%)
↓-50.0%prior 22
3
JEEP7 (7.5%)
4
HYUNDAI5 (5.4%)
→0.0%prior 5
5
CHEVROLET4 (4.3%)
↓-50.0%prior 8
6
NISSAN4 (4.3%)
↓-73.3%prior 15
7
FORD4 (4.3%)
↓-42.9%prior 7
8
RAM3 (3.2%)
9
KIA3 (3.2%)
10
SUBARU3 (3.2%)
↓-50.0%prior 6

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

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

Sex Distribution (100 persons with recorded sex)

Male59 (59.0%)
↓-28.0%prior 82
Female41 (41.0%)
↓-35.9%prior 64

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 the 55 mph speed zone decreased from 18 in August 2024 to 9 in August 2025. Crashes in the 35 mph zone decreased from 9 to 3, and the 25 mph zone saw a decrease from 7 to 2 crashes. A new speed zone of 20 mph appeared in the current period with 1 crash.

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: MILTON, MA
  • Total crash records analyzed: 49
  • Total persons involved: 117
  • Total vehicles involved: 93

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). "MILTON, 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/milton/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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Milton, MA Crash Report — August 2025 | ThatCarHitMe.com