Monthly Traffic Safety Analysis

24 CRASHES IN
NORTON, MA
NOVEMBER 2022

All metrics benchmarked againstNovember 2021

NORTON experienced a 25% decrease in total crashes, from 32 in November 2021 to 24 in November 2022. This period saw a notable positive shift with zero fatalities reported in November 2022, compared to one fatality in November 2021.

24

▼ -25.0%was 32

Total Crash Events

0

▼ -100.0%was 1

Persons Killed

9

▲ 125.0%was 4

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 · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in NORTON decreased year-over-year, with a 25% reduction from 32 crashes in November 2021 to 24 crashes in November 2022. Fatalities dropped from 1 to 0, while injuries increased from 4 to 9 during the same period.

1

Hit-and-Run Crashes — November 2022

▼ 0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 in both November 2021 and November 2022. The hit-and-run rate increased from 3.1% in November 2021 to 4.2% in November 2022, which is attributable to the overall decrease in total crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1↓-100.0%

9

Motorists Injured

Prior: 3↑200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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 Tuesday with 10 crashes in November 2021 to Thursday with 5 crashes in November 2022. The peak hour remained 4p in both periods, though the crash count at 4p decreased from 6 in November 2021 to 4 in November 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased from 1 in November 2021 to 0 in November 2022, resulting in no fatal crashes in the current period compared to one previously. Total injuries increased from 4 to 9, with minor injuries rising from 1 to 5, while possible injuries decreased from 3 to 1.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes20.8%
↑400.0%prior 1
Possible Injury1possible injury crashes4.2%
↓-66.7%prior 3
No Injury17no injury crashes70.8%
↓-34.6%prior 26

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record

Top Contributing Factors

Among common contributing factors, crashes attributed to 'No improper driving' decreased by 6, from 17 in November 2021 to 11 in November 2022. 'Inattention' related crashes also saw a reduction of 5, from 9 to 4. Crashes due to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased by 1, from 1 to 2.

Officer-Reported Primary Contributing Cause

No improper driving11 (45.8%)↓-35.3%prior 17
Inattention4 (16.7%)↓-55.6%prior 9
Failed to yield right of way2 (8.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (8.3%)
Failure to keep in proper lane or running off road1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 28 to 20, and those in 'Daylight' conditions decreased from 18 to 10. Conversely, crashes in 'Dark - roadway not lighted' conditions increased from 1 to 4, and 'Wet' road surface crashes rose from 2 to 3.

Weather

Clear20 (83.3%)
↓-28.6%prior 28
Clear/Other1 (4.2%)
Fog, smog, smoke1 (4.2%)
Fog, smog, smoke/Cloudy1 (4.2%)
Rain1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash

Lighting

Daylight10 (41.7%)
↓-44.4%prior 18
Dark - lighted roadway6 (25.0%)
↓-45.5%prior 11
Dark - roadway not lighted4 (16.7%)
Dusk3 (12.5%)
Dark - unknown roadway lighting1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field

Road Surface

Dry20 (83.3%)
↓-33.3%prior 30
Wet3 (12.5%)
Snow1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (36 vehicles)

1
TOYOTA6 (16.7%)
2
CHEVROLET5 (13.9%)
3
NISSAN4 (11.1%)
↓-33.3%prior 6
4
BMW3 (8.3%)
5
FORD3 (8.3%)
↓-50.0%prior 6
6
GMC2 (5.6%)
7
HYUNDAI2 (5.6%)
8
KIA2 (5.6%)
9
LEXUS1 (2.8%)
10
MACK1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records

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

Sex Distribution (46 persons with recorded sex)

Male27 (58.7%)
↓-27.0%prior 37
Female19 (41.3%)
↓-44.1%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones decreased from 8 to 6, and 40 mph zones decreased from 8 to 6. Conversely, crashes in 45 mph speed zones increased from 2 to 3, and 65 mph zones increased from 2 to 4. There were no fatal crashes in any speed zone in November 2022, compared to one fatal crash in a 30 mph zone in November 2021.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-11-01 through 2022-11-30 (30 days)
  • Geographic scope: NORTON, MA
  • Total crash records analyzed: 24
  • Total persons involved: 47
  • Total vehicles involved: 36

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). "NORTON, MA Crash Intelligence Report: November 2022." Published June 21, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norton/november-2022-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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Norton, MA Crash Report — November 2022 | ThatCarHitMe.com