Monthly Traffic Safety Analysis

8 CRASHES IN
NORWELL, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In NORWELL, MA, total crashes decreased by 50% year-over-year, from 16 in July 2022 to 8 in July 2023. Despite this reduction in overall crash incidents, total injuries increased by 200%, rising from 2 to 6 persons injured. Fatalities remained at 0 in both periods, indicating no change in fatal crash outcomes.

8

-50.0%was 16

Total Crash Events

0

Persons Killed

6

200.0%was 2

Persons Injured

0

Fatal Crash Events

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant decrease in total crash incidents, with crashes falling by 50% from 16 to 8 year-over-year. However, total injuries rose substantially by 200%, from 2 to 6, suggesting that while fewer crashes occurred, those that did were more likely to result in injury. Fatalities remained stable at 0 in both July 2022 and July 2023.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 2200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 year-over-year. In July 2022, the peak day for crashes was Wednesday with 5 incidents, and the peak hour was 11a with 3 incidents; in July 2023, the peak day shifted to Saturday with 3 incidents, and the peak hour was 4a with 2 incidents. This indicates a change from mid-week, late morning peaks to weekend, early morning peaks.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While fatalities remained at 0 in both periods, the severity distribution of injuries changed notably. Serious injuries (Severity A) increased from 0 in July 2022 to 1 in July 2023, and minor injuries (Severity B) increased from 2 to 4. Consequently, crashes with no injuries decreased significantly from 12 in July 2022 to 3 in July 2023.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes12.5%
Minor Injury4minor injury crashes50%
100.0%prior 2
No Injury3no injury crashes37.5%
-75.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The distribution of contributing factors shifted between periods. Crashes attributed to 'No improper driving' increased from 2 to 3, while 'Followed too closely' and 'Other improper action' both decreased by 2 crashes each, from 3 to 1. The factor 'Failure to keep in proper lane or running off road' appeared with 1 crash in July 2023, whereas it was not listed in July 2022, and several factors present in July 2022, such as 'Inattention' and 'Physical impairment', were not present in July 2023.

Officer-Reported Primary Contributing Cause

No improper driving3 (37.5%)
Distracted1 (12.5%)
Failure to keep in proper lane or running off road1 (12.5%)
Fatigued/asleep1 (12.5%)
Followed too closely1 (12.5%)
Other improper action1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather remained the dominant condition for crashes in both periods, accounting for 15 crashes in July 2022 and 7 in July 2023. Wet road surface conditions were associated with 1 crash in both periods, showing no change. Crashes occurring in 'Dark - roadway not lighted' conditions increased from 1 in July 2022 to 2 in July 2023, while 'Dawn' conditions, which saw 1 crash in July 2022, had no associated crashes in July 2023.

Weather

Clear7 (87.5%)
-53.3%prior 15
Cloudy1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight5 (62.5%)
-61.5%prior 13
Dark - roadway not lighted2 (25.0%)
Dark - lighted roadway1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry7 (87.5%)
-53.3%prior 15
Wet1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
TOYOTA3 (20%)
2
CHEVROLET3 (20%)
3
JEEP3 (20%)
4
NISSAN2 (13.3%)
5
DODGE1 (6.7%)
6
ACURA1 (6.7%)
7
AUDI1 (6.7%)
8
SUBARU1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

Sex Distribution (16 persons with recorded sex)

Female12 (75.0%)
-33.3%prior 18
Male4 (25.0%)
-77.8%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed zone decreased significantly from 6 in July 2022 to 1 in July 2023. Similarly, crashes in the 60 mph speed zone also saw a notable decrease, from 9 to 3. Conversely, the 30 mph and 40 mph speed zones, which had no crashes in July 2022, each recorded 2 crashes in July 2023. Fatal rates remained 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: NORWELL, MA
  • Total crash records analyzed: 8
  • Total persons involved: 16
  • Total vehicles involved: 15

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). "NORWELL, MA Crash Intelligence Report: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norwell/july-2023-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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Norwell, MA Crash Report — July 2023 | ThatCarHitMe.com