Monthly Traffic Safety Analysis

28 CRASHES IN
NORWOOD, MA
MARCH 2022

All metrics benchmarked againstMarch 2021

In March 2022, Norwood experienced 28 total crashes, a decrease of 3.5% compared to 29 crashes in March 2021. Total injuries also decreased by 23.1%, from 13 to 10. The most notable year-over-year shift was a significant increase in DUI-related crashes, rising from 0 in March 2021 to 4 in March 2022.

28

-3.4%was 29

Total Crash Events

0

Persons Killed

10

-23.1%was 13

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 · 2022-03-01 to 2022-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Norwood saw a slight decrease year-over-year, with total crashes falling by 3.5% from 29 to 28. This was accompanied by a more substantial 23.1% reduction in total injuries, decreasing from 13 to 10.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 13-23.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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 with 6 crashes in March 2021 to Tuesday with 9 crashes in March 2022. The peak hour for crashes also changed, moving from 11 AM with 5 crashes in the prior period to 7 AM with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either March 2021 or March 2022. Serious injuries decreased from 1 crash (3.4% of total) in March 2021 to 0 crashes in March 2022. Minor injuries decreased from 7 crashes (24.1%) to 4 crashes (14.3%), while crashes with no injuries increased from 18 (62.1%) to 22 (78.6%) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes14.3%
-42.9%prior 7
Possible Injury2possible injury crashes7.1%
-33.3%prior 3
No Injury22no injury crashes78.6%
22.2%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' increased by 100% in count, from 3 in March 2021 to 6 in March 2022, becoming the leading factor. Conversely, 'No improper driving' decreased by 57.1% in count, from 7 to 3. 'Failed to yield right of way' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' both increased by 66.7% in count, from 3 to 5 crashes each.

Officer-Reported Primary Contributing Cause

Followed too closely6 (21.4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (17.9%)
Failed to yield right of way5 (17.9%)
No improper driving3 (10.7%)-57.1%prior 7
Inattention2 (7.1%)
Distracted1 (3.6%)
Physical impairment1 (3.6%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.6%)
Wrong side or wrong way1 (3.6%)
Disregarded traffic signs, signals, road markings1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions decreased from 26 in March 2021 to 21 in March 2022, while crashes in 'Dark - lighted roadway' conditions increased from 1 to 7. Regarding road surface, 'Ice' conditions were noted in 1 crash in March 2022, whereas 'Sand, mud, dirt, oil, gravel' and 'Snow' conditions, each contributing to 1 crash in March 2021, were not present in March 2022.

Weather

Clear22 (78.6%)
-4.3%prior 23
Cloudy2 (7.1%)
Rain2 (7.1%)
Blowing sand, snow1 (3.6%)
Clear/Unknown1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Weather condition at time of crash

Lighting

Daylight21 (75.0%)
-19.2%prior 26
Dark - lighted roadway7 (25.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Lighting condition field

Road Surface

Dry25 (89.3%)
0.0%prior 25
Wet2 (7.1%)
Ice1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (49 vehicles)

1
FORD10 (20.4%)
42.9%prior 7
2
TOYOTA9 (18.4%)
28.6%prior 7
3
HONDA8 (16.3%)
14.3%prior 7
4
HYUNDAI3 (6.1%)
5
JEEP3 (6.1%)
6
CHEVROLET3 (6.1%)
7
VOLKSWAGEN2 (4.1%)
8
BMW2 (4.1%)
9
NISSAN2 (4.1%)
10
CADI1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records

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

Sex Distribution (65 persons with recorded sex)

Female37 (56.9%)
32.1%prior 28
Male28 (43.1%)
-34.9%prior 43

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Person-level records linked to crash events

Speed Limit Zones

There was a notable shift in crashes occurring at higher speed limits, with crashes in the 65 mph zone decreasing from 7 to 2. Conversely, crashes in the 45 mph zone increased from 3 to 6. Crashes at 30 mph saw a slight decrease from 16 to 15, and crashes at 25 mph and 55 mph each appeared with 1 crash in March 2022, having no reported crashes in March 2021.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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: 2022-03-01 through 2022-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-03-01 through 2022-03-31 (31 days)
  • Geographic scope: NORWOOD, MA
  • Total crash records analyzed: 28
  • Total persons involved: 67
  • Total vehicles involved: 49

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: March 2022." Published June 21, 2026. Reporting period: 2022-03-01 to 2022-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/norwood/march-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

ThatCarHitMe.com · An Injuria.ai Company

Norwood, MA Crash Report — March 2022 | ThatCarHitMe.com