Monthly Traffic Safety Analysis

31 CRASHES IN
NORWOOD, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, NORWOOD, MA experienced a 24% increase in total crashes, rising from 25 crashes in August 2024 to 31 crashes. Total injuries also saw an increase, climbing from 10 to 12 over the same period. The most notable year-over-year shift was the overall increase in crash incidents.

31

24.0%was 25

Total Crash Events

0

Persons Killed

12

20.0%was 10

Persons Injured

0

-100.0%was 1

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.

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 incidents in NORWOOD, MA are on an upward trend year-over-year, with total crashes increasing by 24% from 25 in August 2024 to 31 in August 2025. Concurrently, total injuries increased by 20%, from 10 to 12. Fatalities remained at zero in both periods, indicating stability in the most severe outcomes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

12

Motorists Injured

Prior: 1020.0%

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 temporal distribution of crashes shifted year-over-year, with the peak crash day moving from Tuesday in August 2024 (7 crashes) to Friday in August 2025 (8 crashes). The peak crash hour also changed, occurring at 4 PM with 4 crashes in August 2024, compared to 1 PM with 5 crashes in August 2025.

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

There were no fatal crashes or fatalities in either August 2024 or August 2025. Total injuries increased from 10 to 12 year-over-year. Minor injuries increased from 4 crashes (16% share) to 6 crashes (19.4% share), while possible injuries decreased from 4 crashes (16% share) to 3 crashes (9.7% share).

Outcome by Severity (Crash Events)

Minor Injury6minor injury crashes19.4%
50.0%prior 4
Possible Injury3possible injury crashes9.7%
-25.0%prior 4
No Injury22no injury crashes71%
37.5%prior 16

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 top contributing factor, 'No improper driving', increased in count from 5 in August 2024 to 9 in August 2025, an 80% increase. 'Inattention' and 'Failed to yield right of way' both increased by 1 crash, from 4 to 5 crashes each, representing a 25% increase for both. 'Failure to keep in proper lane or running off road' saw a 200% increase, rising from 1 crash to 3 crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving9 (29%)80.0%prior 5
Inattention5 (16.1%)
Failed to yield right of way5 (16.1%)
Failure to keep in proper lane or running off road3 (9.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.5%)
Other improper action2 (6.5%)
Disregarded traffic signs, signals, road markings1 (3.2%)
Fatigued/asleep1 (3.2%)
Distracted1 (3.2%)

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

In August 2025, 23 crashes occurred in 'Clear' weather, an increase from 20 in August 2024, while 'Rain' conditions saw 1 crash, down from 1 in August 2024. The number of crashes in 'Daylight' conditions increased from 22 to 27 year-over-year. Crashes on 'Dry' road surfaces increased from 20 to 30, whereas crashes on 'Wet' road surfaces decreased from 4 to 1.

Weather

Clear23 (74.2%)
15.0%prior 20
Clear/Other2 (6.5%)
Clear/Unknown2 (6.5%)
Cloudy2 (6.5%)
Clear/Clear1 (3.2%)
Rain1 (3.2%)

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

Lighting

Daylight27 (87.1%)
22.7%prior 22
Dark - lighted roadway2 (6.5%)
Dawn1 (3.2%)
Dusk1 (3.2%)

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

Road Surface

Dry30 (96.8%)
50.0%prior 20
Wet1 (3.2%)

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

Vehicles & Demographics

Top Vehicle Makes (59 vehicles)

1
TOYOTA16 (27.1%)
60.0%prior 10
2
JEEP7 (11.9%)
3
HONDA7 (11.9%)
-12.5%prior 8
4
FORD3 (5.1%)
5
MAZDA3 (5.1%)
6
CHEVROLET2 (3.4%)
7
GMC2 (3.4%)
8
INTL2 (3.4%)
9
MERCEDES-BENZ2 (3.4%)
10
NISSAN2 (3.4%)

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

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

Sex Distribution (67 persons with recorded sex)

Male38 (56.7%)
35.7%prior 28
Female29 (43.3%)
31.8%prior 22

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

The distribution of crashes across speed zones changed, with crashes at 30 mph increasing from 16 in August 2024 to 23 in August 2025. Notably, the current period saw crashes reported in higher speed zones of 50 mph (2 crashes) and 65 mph (3 crashes), which were not present in the prior period's data. Fatal rates remained at 0 for all speed limits in both periods.

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: NORWOOD, MA
  • Total crash records analyzed: 31
  • Total persons involved: 71
  • Total vehicles involved: 59

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). "NORWOOD, 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/norwood/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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Norwood, MA Crash Report — August 2025 | ThatCarHitMe.com