Monthly Traffic Safety Analysis

28 CRASHES IN
UXBRIDGE, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, UXBRIDGE recorded 28 total crashes, which is unchanged from the 28 crashes reported in April 2021. However, total fatalities increased from 0 in April 2021 to 1 in April 2022. This period also saw an increase in total injuries, rising from 9 to 11 year-over-year.

28

Total Crash Events

1

Persons Killed

11

22.2%was 9

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes in UXBRIDGE remained stable year-over-year, with 28 crashes reported in both April 2021 and April 2022. Despite this stability in crash volume, fatalities increased from 0 to 1, and total injuries rose by 22.2%, from 9 to 11.

1

Hit-and-Run Crashes — April 2022

3.6% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

0

Other Killed

Prior: 00.0%

10

Motorists Injured

Prior: 911.1%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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 Friday in April 2021, with 9 incidents, to Tuesday in April 2022, which also recorded 9 crashes. The peak crash hour also changed significantly, moving from 9 AM with 6 crashes in April 2021 to 3 PM with 3 crashes in April 2022. This indicates a shift in the most frequent times and days for crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution for crashes saw a notable change, with 1 fatal crash occurring in April 2022 compared to 0 in April 2021. Serious injuries also appeared in April 2022, with 1 crash resulting in serious injury, where none were reported in the prior period. While minor injury crashes decreased from 5 (17.9% share) to 3 (10.7% share), total injuries increased from 9 to 11 year-over-year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes3.6%
Serious Injury1serious injury crashes3.6%
Minor Injury3minor injury crashes10.7%
-40.0%prior 5
Possible Injury2possible injury crashes7.1%
-33.3%prior 3
No Injury20no injury crashes71.4%
0.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased significantly by 7 counts, from 3 in April 2021 to 10 in April 2022. Conversely, 'Inattention' decreased by 2 counts, from 4 to 2, and 'Driving too fast for conditions' was a factor in 5 crashes in April 2021 but was not among the top factors in April 2022. 'Failed to yield right of way' saw an increase of 3 counts, rising from 1 to 4 crashes.

Officer-Reported Primary Contributing Cause

No improper driving10 (35.7%)
Failed to yield right of way4 (14.3%)
Failure to keep in proper lane or running off road2 (7.1%)
Inattention2 (7.1%)
Exceeded authorized speed limit1 (3.6%)
Operating defective equipment1 (3.6%)
Other improper action1 (3.6%)
Over-correcting/over-steering1 (3.6%)
Disregarded traffic signs, signals, road markings1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather conditions in April 2022 showed a higher prevalence of 'Clear' conditions for crashes, accounting for 21 incidents compared to 17 in April 2021. Snow-related conditions, which contributed to 4 crashes in April 2021, were absent in April 2022, replaced by 'Rain' as a factor in 2 crashes. Road surface conditions remained predominantly 'Dry' in both periods, with 'Wet' conditions increasing from 0 in April 2021 to 4 crashes in April 2022.

Weather

Clear21 (75.0%)
23.5%prior 17
Cloudy3 (10.7%)
Rain2 (7.1%)
Cloudy/Rain1 (3.6%)
Rain/Sleet, hail (freezing rain or drizzle)1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight24 (85.7%)
4.3%prior 23
Dark - lighted roadway2 (7.1%)
Dark - unknown roadway lighting1 (3.6%)
Dusk1 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry24 (85.7%)
14.3%prior 21
Wet4 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (50 vehicles)

1
TOYOTA8 (16%)
-20.0%prior 10
2
FORD7 (14%)
-30.0%prior 10
3
HONDA6 (12%)
4
CHEVROLET5 (10%)
5
GMC4 (8%)
6
SUBARU3 (6%)
7
NISSAN3 (6%)
8
JEEP2 (4%)
9
MAZDA2 (4%)
10
KIA1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

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

Sex Distribution (68 persons with recorded sex)

Male38 (55.9%)
22.6%prior 31
Female30 (44.1%)
36.4%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones increased by 4 counts, from 3 in April 2021 to 7 in April 2022, and 30 mph zones saw an increase of 5 crashes, from 4 to 9. Conversely, crashes in 45 mph zones decreased by 2 counts, from 4 to 2, and 65 mph zones also decreased by 2 crashes, from 5 to 3. The data does not indicate any fatal crashes attributed to specific speed zones in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: UXBRIDGE, MA
  • Total crash records analyzed: 28
  • Total persons involved: 71
  • Total vehicles involved: 50

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: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/uxbridge/april-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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Uxbridge, MA Crash Report — April 2022 | ThatCarHitMe.com