Monthly Traffic Safety Analysis

25 CRASHES IN
NORWOOD, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

In Norwood, MA, total crashes decreased by 26.47%, from 34 in August 2023 to 25 in August 2024. This period also saw a 16.67% reduction in total injuries, decreasing from 12 to 10, and no serious injuries were reported in August 2024 compared to two in the prior year.

25

-26.5%was 34

Total Crash Events

0

Persons Killed

10

-16.7%was 12

Persons Injured

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in crash incidents year-over-year. Total crashes fell by 26.47%, from 34 in August 2023 to 25 in August 2024. Concurrently, total injuries decreased by 16.67%, from 12 to 10.

1

Hit-and-Run Crashes — August 2024

4.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 11-9.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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 Thursday in August 2023 (9 crashes) to Tuesday in August 2024 (7 crashes). The peak hour also changed from 1 PM in August 2023 (4 crashes) to 4 PM in August 2024 (4 crashes), although the number of crashes at the peak hour remained the same. Notably, crashes on Thursdays saw a significant reduction from 9 to 2, while Saturday crashes increased from 2 to 4.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either August 2023 or August 2024. Serious injuries (Severity A) decreased from 2 crashes in August 2023 to 0 in August 2024. While minor injury crashes (Severity B) decreased from 9 to 4, possible injury crashes (Severity C) increased from 1 to 4.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes16%
-55.6%prior 9
Possible Injury4possible injury crashes16%
300.0%prior 1
No Injury16no injury crashes64%
-27.3%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failed to yield right of way' saw a 50% reduction in count, decreasing from 8 crashes (23.5% share) in August 2023 to 4 crashes (16% share) in August 2024. 'No improper driving' decreased by 16.7% in count, from 6 crashes (17.6% share) to 5 crashes (20% share), becoming the most frequent factor in August 2024. 'Inattention' also decreased by 20% in count, from 5 crashes (14.7% share) to 4 crashes (16% share).

Officer-Reported Primary Contributing Cause

No improper driving5 (20%)-16.7%prior 6
Inattention4 (16%)-20.0%prior 5
Failed to yield right of way4 (16%)-50.0%prior 8
Other improper action2 (8%)
Physical impairment2 (8%)
Made an improper turn1 (4%)
Fatigued/asleep1 (4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4%)
Failure to keep in proper lane or running off road1 (4%)
Glare1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in clear weather conditions decreased from 28 in August 2023 to 20 in August 2024, a 28.6% reduction. Similarly, crashes on dry road surfaces decreased by 28.6%, from 28 to 20. Crashes under wet road conditions remained stable at 4 incidents in both periods.

Weather

Clear20 (83.3%)
-28.6%prior 28
Cloudy/Rain2 (8.3%)
Cloudy1 (4.2%)
Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight22 (88.0%)
-18.5%prior 27
Dark - lighted roadway3 (12.0%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry20 (83.3%)
-28.6%prior 28
Wet4 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (46 vehicles)

1
TOYOTA10 (21.7%)
0.0%prior 10
2
HONDA8 (17.4%)
14.3%prior 7
3
NISSAN4 (8.7%)
4
DODGE3 (6.5%)
5
SUBARU2 (4.3%)
6
KIA2 (4.3%)
7
HD2 (4.3%)
8
MAZDA1 (2.2%)
9
MERCEDES-BENZ1 (2.2%)
10
MITS1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Male28 (56.0%)
-44.0%prior 50
Female22 (44.0%)
-4.3%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 24 in August 2023 to 16 in August 2024, a 33.3% reduction. The 45 mph speed zone also experienced a 50% decrease in crashes, from 6 to 3. New crash occurrences were noted in 5 mph, 10 mph, and 35 mph zones in August 2024, which were not present in August 2023, while crashes in 50 mph and 65 mph zones observed in August 2023 were absent in August 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: NORWOOD, MA
  • Total crash records analyzed: 25
  • Total persons involved: 54
  • Total vehicles involved: 46

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 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norwood/august-2024-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 2024 | ThatCarHitMe.com