Monthly Traffic Safety Analysis

175 CRASHES IN
QUINCY, MA
JULY 2023

All metrics benchmarked againstJuly 2022

QUINCY experienced a decrease in overall crash incidents, with total crashes falling from 221 in July 2022 to 175 in July 2023, a reduction of 20.8%. Despite this overall decrease, the current period recorded one fatality, compared to zero in the prior year. Additionally, crashes attributed to exceeding the authorized speed limit saw a significant increase.

175

-20.8%was 221

Total Crash Events

1

Persons Killed

54

-6.9%was 58

Persons Injured

22

22.2%was 18

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. 3 crashes with unreported severity are not shown in the severity breakdown.

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 decrease in crash incidents year-over-year. Total crashes decreased from 221 in July 2022 to 175 in July 2023, representing a reduction of 46 crashes or 20.8%.

22

Hit-and-Run Crashes — July 2023

22.2% vs prior (18)

Hit-and-run crashes increased from 18 in July 2022 to 22 in July 2023, representing a 22.2% rise in count. The hit-and-run rate also increased from 8.1% of total crashes in July 2022 to 12.6% in July 2023, indicating an upward trend in such incidents.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 4-50.0%

2

Cyclists Injured

Prior: 3-33.3%

50

Motorists Injured

Prior: 51-2.0%

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

In July 2023, the peak day for crashes shifted to Monday with 39 incidents, compared to Friday with 49 incidents in July 2022. The peak hour also saw a change, with 18 crashes occurring at both 5 PM and 6 PM in July 2023, whereas 25 crashes occurred at 5 PM in July 2022. Overall, crash counts were lower across most days and hours in the current period.

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

The city recorded 1 fatality in July 2023, corresponding to a fatal crash rate of 0.57%, compared to zero fatalities in July 2022. Serious injury crashes decreased from 5 (2.3% of total crashes) in July 2022 to 2 (1.1%) in July 2023. Minor injury crashes remained constant at 31, but their proportion of total crashes increased from 14% to 17.7% due to the overall decrease in crashes.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury2serious injury crashes1.1%
-60.0%prior 5
Minor Injury31minor injury crashes17.7%
0.0%prior 31
Possible Injury9possible injury crashes5.1%
-25.0%prior 12
No Injury129no injury crashes73.7%
-21.8%prior 165

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

Inattention remained the leading contributing factor, though its count decreased from 73 crashes in July 2022 to 49 crashes in July 2023, a 32.9% reduction in count. Crashes attributed to "Failed to yield right of way" also decreased by 9 incidents, from 31 to 22, a 29.0% reduction in count. Conversely, "Followed too closely" crashes increased by 4, from 15 to 19, a 26.7% increase in count, and crashes involving "Exceeded authorized speed limit" saw a substantial increase from 1 to 6, a 500% increase in count.

Officer-Reported Primary Contributing Cause

Inattention49 (28%)-32.9%prior 73
Failed to yield right of way22 (12.6%)-29.0%prior 31
No improper driving22 (12.6%)-8.3%prior 24
Followed too closely19 (10.9%)26.7%prior 15
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner9 (5.1%)12.5%prior 8
Failure to keep in proper lane or running off road6 (3.4%)-33.3%prior 9
Made an improper turn5 (2.9%)
Exceeded authorized speed limit5 (2.9%)
Visibility obstructed5 (2.9%)
Disregarded traffic signs, signals, road markings4 (2.3%)

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

Crashes occurring in "Clear" weather conditions decreased from 174 in July 2022 to 123 in July 2023. There was a notable increase in crashes during "Rain" conditions, rising from 1 incident to 10 incidents year-over-year. Correspondingly, crashes on "Wet" road surfaces increased from 4 to 22, while crashes on "Dry" surfaces decreased from 216 to 149.

Weather

Clear123 (70.3%)
-29.3%prior 174
Clear/Clear19 (10.9%)
-42.4%prior 33
Cloudy12 (6.9%)
20.0%prior 10
Rain10 (5.7%)
Rain/Cloudy4 (2.3%)
Cloudy/Rain4 (2.3%)
Cloudy/Cloudy2 (1.1%)
Clear/Fog, smog, smoke1 (0.6%)

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

Lighting

Daylight131 (74.9%)
-26.4%prior 178
Dark - lighted roadway34 (19.4%)
3.0%prior 33
Dark - roadway not lighted5 (2.9%)
Dawn2 (1.1%)
Dusk2 (1.1%)
-71.4%prior 7
Dark - unknown roadway lighting1 (0.6%)

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

Road Surface

Dry149 (85.1%)
-31.0%prior 216
Wet22 (12.6%)
Water (standing, moving)2 (1.1%)
Other1 (0.6%)
Sand, mud, dirt, oil, gravel1 (0.6%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 424 in July 2022 to 339 in July 2023. Among top vehicle makes, Toyota, Honda, and Ford all saw fewer involvements, with Ford decreasing from 53 to 34. While most age groups saw fewer persons involved in crashes, the 16-20 age group increased slightly from 33 to 35 persons involved.

Top Vehicle Makes (339 vehicles)

1
TOYOTA67 (19.8%)
-15.2%prior 79
2
HONDA41 (12.1%)
-22.6%prior 53
3
FORD34 (10%)
-35.8%prior 53
4
JEEP26 (7.7%)
23.8%prior 21
5
NISSAN22 (6.5%)
-24.1%prior 29
6
CHEVROLET21 (6.2%)
-19.2%prior 26
7
BMW12 (3.5%)
20.0%prior 10
8
HYUNDAI11 (3.2%)
-26.7%prior 15
9
SUBARU11 (3.2%)
-15.4%prior 13
10
LEXUS10 (2.9%)
42.9%prior 7

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

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

Sex Distribution (400 persons with recorded sex)

Male232 (58.0%)
-15.6%prior 275
Female168 (42.0%)
-31.7%prior 246

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 25 mph zones decreased from 129 in July 2022 to 106 in July 2023, but a fatal crash occurred in a 25 mph zone in July 2023, where none occurred in the prior period. Crashes in 30 mph zones also saw a slight decrease from 33 to 28. The number of crashes in 55 mph zones remained relatively stable, with 23 in July 2022 and 22 in July 2023, with no fatalities in either period for this zone.

Fatal crashes by zone: 25 mph: 1 of 106 (0.943%)

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: QUINCY, MA
  • Total crash records analyzed: 175
  • Total persons involved: 434
  • Total vehicles involved: 339

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: 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/quincy/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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Quincy, MA Crash Report — July 2023 | ThatCarHitMe.com