ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · QUINCY, MA · 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/quincy/2023-annual-report
Yearly Traffic Safety Analysis
2,153 CRASHES IN
QUINCY, MA
2023
In 2023, Quincy recorded 2,153 total crashes, a 4.4% increase from the 2,063 crashes reported in 2022. The total number of injuries rose by 12.5% from 506 to 569. A notable change was the occurrence of two cyclist fatalities in 2023, whereas none were recorded in the prior year.
2,153
▲ 4.4%was 2,063
Total Crash Events
3
▲ 50.0%was 2
Persons Killed
569
▲ 12.5%was 506
Persons Injured
250
▲ 4.6%was 239
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 59 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Quincy show an upward movement year-over-year. Total collisions increased by 4.4%, from 2,063 in 2022 to 2,153 in 2023. This was accompanied by a 12.5% rise in total injuries, which grew from 506 to 569, while total fatalities increased from 2 to 3.
250
Hit-and-Run Crashes — 2023
▲ 4.6% vs prior (239)
The rate of hit-and-run crashes in Quincy remained unchanged year-over-year, holding steady at 11.6% of all collisions. The absolute number of hit-and-run incidents saw a slight increase, rising from 239 in 2022 to 250 in 2023. This indicates that the growth in hit-and-run crashes was proportional to the overall increase in total crashes.
Vulnerable Road User Casualties
1
Pedestrians Killed
2
Cyclists Killed
0
Motorists Killed
0
Other Killed
38
Pedestrians Injured
18
Cyclists Injured
510
Motorists Injured
3
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent between 2022 and 2023. Friday continued to be the peak day for crashes, with incidents increasing from 334 to 355. Similarly, the 5 PM hour remained the most frequent time for collisions, with the crash count for that hour rising from 161 in 2022 to 182 in 2023.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate in Quincy increased from 0.1% in 2022 to 0.14% in 2023, with the count of fatal crashes rising from 2 to 3. While the share of crashes involving serious injuries decreased from 1.5% to 1.1%, the proportion of crashes with possible injuries rose from 4.0% to 5.4%. The share of non-injury crashes remained stable, accounting for 76.7% of incidents in 2023 compared to 76.8% in 2022.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors to crashes in Quincy remained consistent year-over-year, with 'Inattention' being the most cited factor in both 2023 (638 crashes) and 2022 (637 crashes). While the top rankings did not change, the number of crashes attributed to 'Failed to yield right of way' increased by 14.8%, from 236 to 271 incidents. Crashes involving 'Distracted' driving also saw a notable 37.5% rise in count, from 24 to 33.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of crashes across lighting conditions remained stable, with approximately 67% of incidents in both years occurring during daylight. However, there was a noticeable shift in road surface conditions, as the number of crashes on wet roads increased by 33.4% from 305 in 2022 to 407 in 2023. This corresponds with a slight increase in the proportion of crashes occurring during rainy conditions, which rose from 7.0% to 8.2% of all crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes were identical in both periods: Toyota, Honda, and Ford, with each seeing an increase in total count from 765 to 823, 465 to 517, and 392 to 447, respectively. An analysis of persons involved in crashes shows a shift in age distribution; the number of individuals in the 16-20 age group increased from 292 to 386. The 26-34 age group remained the largest cohort in both years, with 963 persons in 2022 and 983 in 2023.
Top Vehicle Makes (4,173 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
533 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,760 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes became more concentrated in lower speed zones in 2023. The number of collisions in 25 mph zones increased by 22.2%, from 1,090 to 1,332, while crashes in 30 mph zones decreased by 30.3% from 396 to 276. The location of fatal crashes also shifted; in 2022, both fatalities occurred in 30 mph zones, whereas in 2023, two fatalities were recorded in 25 mph zones and one occurred in a 15 mph zone.
Fatal crashes by zone: 15 mph: 1 of 42 (2.381%) · 25 mph: 2 of 1,332 (0.15%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: QUINCY, MA
- Total crash records analyzed: 2,153
- Total persons involved: 5,279
- Total vehicles involved: 4,173
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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/quincy/2023-annual-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved