Monthly Traffic Safety Analysis

156 CRASHES IN
QUINCY, MA
MARCH 2022

All metrics benchmarked againstMarch 2021

In March 2022, Quincy experienced 156 crashes, a slight increase from 155 crashes in March 2021. The most significant year-over-year change was the occurrence of one fatality in March 2022, compared to zero fatalities in the prior year.

156

0.6%was 155

Total Crash Events

1

Persons Killed

43

Persons Injured

21

23.5%was 17

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 4 crashes with unreported severity are not shown in the severity breakdown.

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 Quincy remained largely stable year-over-year, with a minor increase of 0.6% in total crashes, from 155 to 156. However, fatalities rose from 0 in March 2021 to 1 in March 2022, while total injuries remained consistent at 43 in both periods.

21

Hit-and-Run Crashes — March 2022

23.5% vs prior (17)

Hit-and-run crashes increased by 4 incidents, rising from 17 in March 2021 to 21 in March 2022. The hit-and-run rate also increased year-over-year, from 11.0% to 13.5% of all crashes.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

0

Motorists Killed

Prior: 00.0%

7

Pedestrians Injured

Prior: 616.7%

36

Motorists Injured

Prior: 37-2.7%

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 Tuesday in March 2021 (29 crashes) to Thursday in March 2022 (33 crashes). The peak crash hour also changed, with March 2022 seeing the most crashes at 2 PM (14 crashes), compared to 5 PM (13 crashes) in March 2021.

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

March 2022 saw a fatal crash rate of 0.64% with 1 fatality, compared to zero fatalities in March 2021. Serious injuries increased from 3 in March 2021 to 5 in March 2022, while possible injuries decreased from 10 to 5 during the same period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury5serious injury crashes3.2%
66.7%prior 3
Minor Injury27minor injury crashes17.3%
22.7%prior 22
Possible Injury5possible injury crashes3.2%
-50.0%prior 10
No Injury114no injury crashes73.1%
-0.9%prior 115

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

The top contributing factor, 'Inattention,' increased by 8 crashes, from 42 in March 2021 to 50 in March 2022, representing a 19% increase in count. Crashes attributed to 'Failed to yield right of way' saw a substantial increase of 8 incidents, rising from 13 to 21, a 61.5% increase in count. Conversely, 'No improper driving' decreased by 8 crashes, from 27 in March 2021 to 19 in March 2022, a 29.6% decrease in count.

Officer-Reported Primary Contributing Cause

Inattention50 (32.1%)19.0%prior 42
Failed to yield right of way21 (13.5%)61.5%prior 13
No improper driving19 (12.2%)-29.6%prior 27
Followed too closely14 (9%)40.0%prior 10
Failure to keep in proper lane or running off road7 (4.5%)-30.0%prior 10
Disregarded traffic signs, signals, road markings5 (3.2%)-28.6%prior 7
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (2.6%)-33.3%prior 6
Made an improper turn3 (1.9%)
Distracted2 (1.3%)
Glare2 (1.3%)

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 'Dry' road surface conditions decreased from 143 in March 2021 to 124 in March 2022, while crashes on 'Wet' surfaces increased from 11 to 29. The number of crashes in 'Clear' weather conditions decreased from 123 to 97, but 'Rain' conditions saw a slight increase from 8 to 9 crashes.

Weather

Clear97 (63.0%)
-21.1%prior 123
Cloudy19 (12.3%)
72.7%prior 11
Clear/Clear11 (7.1%)
10.0%prior 10
Rain9 (5.8%)
12.5%prior 8
Cloudy/Rain5 (3.2%)
Cloudy/Cloudy4 (2.6%)
Snow4 (2.6%)
Rain/Rain2 (1.3%)
Sleet, hail (freezing rain or drizzle)2 (1.3%)
Snow/Snow1 (0.6%)

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

Lighting

Daylight104 (66.7%)
1.0%prior 103
Dark - lighted roadway42 (26.9%)
2.4%prior 41
Dusk6 (3.8%)
0.0%prior 6
Dark - roadway not lighted2 (1.3%)
Dark - unknown roadway lighting1 (0.6%)
Dawn1 (0.6%)

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

Road Surface

Dry124 (79.5%)
-13.3%prior 143
Wet29 (18.6%)
163.6%prior 11
Ice2 (1.3%)
Snow1 (0.6%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes saw a minor increase from 297 in March 2021 to 299 in March 2022. Notable shifts in age distribution include a decrease in persons aged 0-15 from 23 to 11, and an increase in the 55-64 age group from 41 to 52.

Top Vehicle Makes (299 vehicles)

1
TOYOTA54 (18.1%)
-26.0%prior 73
2
HONDA36 (12%)
9.1%prior 33
3
FORD28 (9.4%)
-22.2%prior 36
4
NISSAN24 (8%)
9.1%prior 22
5
JEEP18 (6%)
100.0%prior 9
6
CHEVROLET18 (6%)
-33.3%prior 27
7
BMW10 (3.3%)
100.0%prior 5
8
SUBARU9 (3%)
28.6%prior 7
9
GMC8 (2.7%)
10
ACURA8 (2.7%)

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

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

Sex Distribution (333 persons with recorded sex)

Male176 (52.9%)
-15.8%prior 209
Female157 (47.1%)
8.3%prior 145

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

Crashes in the 25 mph speed zone remained relatively stable, decreasing slightly from 80 in March 2021 to 78 in March 2022. The 30 mph speed zone recorded 31 crashes in March 2022, down from 33, and was the only zone to report a fatal crash in the current period.

Fatal crashes by zone: 30 mph: 1 of 31 (3.226%)

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: QUINCY, MA
  • Total crash records analyzed: 156
  • Total persons involved: 363
  • Total vehicles involved: 299

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). "QUINCY, 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/quincy/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

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