ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SCITUATE, MA · 2022
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/scituate/2022-annual-report
Yearly Traffic Safety Analysis
151 CRASHES IN
SCITUATE, MA
2022
In 2022, Scituate recorded 151 total crashes, a slight decrease from the 153 crashes in 2021, representing a 1.3% year-over-year decline. Despite the small drop in total collisions, the most significant change was the occurrence of one fatal crash in 2022, whereas none were recorded in the prior year. Additionally, the number of people injured in crashes increased by 36.7%, rising from 30 in 2021 to 41 in 2022.
151
▼ -1.3%was 153
Total Crash Events
1
Persons Killed
41
▲ 36.7%was 30
Persons Injured
1
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. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume in Scituate remained relatively stable, with total crashes decreasing by 1.3% from 153 in 2021 to 151 in 2022. While the total number of incidents saw a slight decline, the severity of outcomes worsened. The number of people injured increased by 36.7% year-over-year, and the city recorded one fatality in 2022 after having none in the previous year.
1
Hit-and-Run Crashes — 2022
▼ 0.0% vs prior (1)
The number of hit-and-run incidents remained unchanged year-over-year. There was one hit-and-run crash recorded in 2022, the same number as in 2021. Consequently, the hit-and-run rate was stable, holding at 0.7% of total crashes for both periods.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
1
Pedestrians Injured
2
Cyclists Injured
38
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between the two years. While Friday was a peak day for collisions in both 2021 (27 crashes) and 2022 (26 crashes), Monday also emerged as a joint peak day in 2022 with 26 crashes. The busiest hour for crashes shifted one hour later, moving from 3 PM in 2021 (18 crashes) to 4 PM in 2022 (19 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity increased in 2022 compared to the prior year. The city recorded one fatal crash, representing 0.7% of all crashes, after having no fatal crashes in 2021. The proportion of crashes resulting in any type of injury also grew, rising from 16.3% of all crashes in 2021 (25 incidents) to 21.8% in 2022 (33 incidents). This included an increase in both serious injury crashes (from 3 to 4) and minor injury crashes (from 18 to 22).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
While 'No improper driving' remained the most common factor listed in both periods, its count decreased from 58 crashes in 2021 to 50 in 2022. Several driver-related factors saw a notable year-over-year increase in count. Crashes attributed to 'Inattention' rose from 9 incidents in 2021 to 17 in 2022, an 88.9% increase in count. Similarly, crashes involving an 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased in count by 66.7%, from 9 to 15 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes in both years occurred in clear weather and on dry roads. In 2022, 81.5% of crashes happened on dry surfaces, up from a 77.8% share in 2021, while crashes on wet roads decreased from 27 to 15 incidents. Collisions during daylight hours accounted for 64.9% of the total in 2022, a slight decrease from the 69.9% share in 2021. Notably, 7 crashes were recorded on icy roads in 2022, a condition not present among the top factors in the 2021 data.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent, with Toyota, Ford, and Chevrolet leading in both years, though their rankings shifted. In 2022, Toyota (39 vehicles) became the most common make, while Ford, the top make in 2021 (38 vehicles), dropped to third (28 vehicles). An analysis of persons involved shows a demographic shift, with the 65+ age group becoming the most frequently involved group in 2022, increasing from 49 individuals in 2021 to 57. The 16-20 age group's involvement decreased slightly from 53 to 51 persons.
Top Vehicle Makes (249 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
8 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (281 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones changed notably year-over-year. Crashes in 50 mph zones saw a significant increase, rising from 17 incidents in 2021 to 29 in 2022. Conversely, collisions in 35 mph and 45 mph zones decreased, falling from 27 to 18 and from 15 to 5, respectively. The single fatal crash recorded in 2022 occurred in a 30 mph speed zone, where a total of 45 crashes were documented that year.
Fatal crashes by zone: 30 mph: 1 of 45 (2.222%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: SCITUATE, MA
- Total crash records analyzed: 151
- Total persons involved: 293
- Total vehicles involved: 249
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). "SCITUATE, MA Crash Intelligence Report: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/scituate/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved