ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · UXBRIDGE, 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/uxbridge/2022-annual-report
Yearly Traffic Safety Analysis
276 CRASHES IN
UXBRIDGE, MA
2022
In 2022, Uxbridge recorded 276 total vehicle crashes, a 9.2% decrease from the 304 crashes reported in 2021. While overall crashes declined, the number of fatalities remained unchanged at two for both years. A notable change was the significant drop in crashes where driving under the influence was suspected, which fell from 12 in 2021 to 5 in 2022.
276
▼ -9.2%was 304
Total Crash Events
2
Persons Killed
87
▲ 2.4%was 85
Persons Injured
13
▲ 8.3%was 12
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 8 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
Traffic crashes in Uxbridge showed a downward trend year-over-year, with total incidents decreasing by 9.2% from 304 in 2021 to 276 in 2022. Despite this reduction in total crashes, the number of people injured saw a slight increase from 85 to 87. Fatalities held steady at two individuals in both periods.
13
Hit-and-Run Crashes — 2022
▲ 8.3% vs prior (12)
The number of hit-and-run incidents in Uxbridge saw a slight increase, rising from 12 crashes in 2021 to 13 in 2022. As a proportion of total crashes, the hit-and-run rate also trended upward, increasing from 3.9% in the prior year to 4.7% in the most recent year.
Vulnerable Road User Casualties
0
Pedestrians Killed
2
Motorists Killed
0
Other Killed
3
Pedestrians Injured
83
Motorists Injured
1
Other 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 in Uxbridge saw some shifts between 2021 and 2022. The peak hour for crashes remained consistent at 2 p.m. in both years, though the count at that hour decreased from 30 to 28. The most frequent day for crashes shifted from Friday (53 crashes) in 2021 to Saturday (53 crashes) in 2022, with Tuesday also emerging as a high-frequency day in 2022 with 52 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
While the number of fatal crashes remained constant at two in both 2021 and 2022, the fatal crash rate saw a slight increase from 0.66% to 0.72% of total incidents. The proportion of crashes resulting in serious injuries nearly doubled, increasing from 2.0% (6 crashes) in 2021 to 4.0% (11 crashes) in 2022. Crashes resulting in minor injuries decreased from 46 in the prior year to 39 in the current year.
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
The leading contributing factor cited in both periods was 'No improper driving,' which saw its count increase by 32.4% from 71 crashes in 2021 to 94 in 2022; its share of all crashes also grew from 23.4% to 34.1%. 'Inattention' remained a top factor, with its count rising from 26 to 30 incidents. In contrast, crashes attributed to 'Failed to yield right of way' decreased in count from 29 in 2021 to 25 in 2022.
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
Crash conditions remained broadly similar year-over-year. In both 2022 and 2021, the majority of crashes occurred in daylight (67.4% and 64.5% of crashes, respectively) and on dry road surfaces (76.8% and 75.7%, respectively). There was a decrease in the number of crashes occurring on snow or ice, from 31 incidents in 2021 to 24 in 2022. Crashes during dark conditions decreased from 89 in 2021 to 76 in 2022.
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 demographics of individuals involved in crashes were consistent, with the 26-34 age group being the largest cohort in both 2021 (106 persons) and 2022 (100 persons). The top vehicle makes involved in crashes remained largely unchanged, with Ford, Toyota, and Chevrolet leading in both years. Ford vehicle involvements increased slightly from 62 to 63, while Toyota and Chevrolet both saw a decrease, dropping from 58 to 52 and 58 to 43, respectively. Subaru's involvement increased from 19 to 30 vehicles, moving it into the top five makes for 2022.
Top Vehicle Makes (448 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
38 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (513 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
Crashes were most prevalent in speed zones between 25 and 35 mph in both periods, accounting for 152 crashes in 2022 and 157 in 2021. The number of crashes in 65 mph zones decreased from 44 to 39 year-over-year. In 2021, both fatal crashes occurred in 65 mph zones, while in 2022, one of the two fatal crashes occurred in a 65 mph zone.
Fatal crashes by zone: 65 mph: 1 of 39 (2.564%)
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: UXBRIDGE, MA
- Total crash records analyzed: 276
- Total persons involved: 553
- Total vehicles involved: 448
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). "UXBRIDGE, 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/uxbridge/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