Monthly Traffic Safety Analysis

20 CRASHES IN
UXBRIDGE, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

In UXBRIDGE, MA, August 2023 saw a slight decrease in total crashes, with 20 incidents compared to 21 in August 2022, representing a 4.8% reduction. A notable year-over-year shift was the significant decrease in total injuries, which fell by 44.4% from 9 injuries in the prior period to 5 injuries in the current period, with no serious injuries reported in August 2023.

20

-4.8%was 21

Total Crash Events

0

Persons Killed

5

-44.4%was 9

Persons Injured

3

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for UXBRIDGE, MA indicates a downward trend in total incidents, with a 4.8% decrease from 21 crashes in August 2022 to 20 crashes in August 2023. This was accompanied by a more substantial reduction in injuries, which decreased by 44.4% year-over-year.

3

Hit-and-Run Crashes — August 2023

15.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 8-37.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes shifted year-over-year; the peak day for crashes moved from Friday with 6 incidents in August 2022 to Thursday with 5 incidents in August 2023. Additionally, the peak crash hour changed from 2 p.m. with 3 crashes in the prior period to 4 p.m. with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2022 and August 2023, indicating no change in fatal crash outcomes. Total injuries decreased from 9 in August 2022 to 5 in August 2023, a 44.4% reduction, with the current period showing no serious injuries (severity A) compared to 3 serious injuries in the prior period.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes20%
33.3%prior 3
No Injury15no injury crashes75%
7.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to "No improper driving" increased from 4 in August 2022 to 7 in August 2023, while crashes due to "Inattention" decreased from 4 to 3. New contributing factors in August 2023 included "Followed too closely" (1 crash) and "Exceeded authorized speed limit" (1 crash), which were not present in the prior period. Conversely, factors like "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" (2 crashes) and "Fatigued/asleep" (2 crashes) from August 2022 were not recorded in August 2023.

Officer-Reported Primary Contributing Cause

No improper driving7 (35%)
Inattention3 (15%)
Followed too closely1 (5%)
Glare1 (5%)
Driving too fast for conditions1 (5%)
Exceeded authorized speed limit1 (5%)
Other improper action1 (5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5%)
Failed to yield right of way1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions increased from 15 in August 2022 to 16 in August 2023. Similarly, incidents during "Daylight" conditions rose from 14 to 17 crashes year-over-year. The number of crashes on "Dry" road surfaces decreased from 18 to 16, while crashes on "Wet" surfaces remained consistent at 2 in both periods.

Weather

Clear16 (84.2%)
6.7%prior 15
Rain2 (10.5%)
Cloudy/Rain1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash

Lighting

Daylight17 (89.5%)
21.4%prior 14
Dark - lighted roadway1 (5.3%)
Dark - roadway not lighted1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field

Road Surface

Dry16 (84.2%)
-11.1%prior 18
Wet2 (10.5%)
Water (standing, moving)1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (37 vehicles)

1
FORD4 (10.8%)
-20.0%prior 5
2
HONDA3 (8.1%)
-40.0%prior 5
3
TOYOTA3 (8.1%)
4
CHEVROLET3 (8.1%)
-40.0%prior 5
5
RAM2 (5.4%)
6
NISSAN2 (5.4%)
7
HYUNDAI1 (2.7%)
8
INTL1 (2.7%)
9
KIA1 (2.7%)
10
LEXUS1 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records

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

Sex Distribution (35 persons with recorded sex)

Male21 (60.0%)
10.5%prior 19
Female14 (40.0%)
0.0%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone significantly increased from 1 in August 2022 to 6 in August 2023. There was also an increase in crashes within the 65 mph zone, rising from 3 to 5 incidents. Conversely, crashes in the 30 mph zone decreased from 5 to 3, and the 40 mph zone, which had 4 crashes in the prior period, had no recorded crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-08-01 through 2023-08-31 (31 days)
  • Geographic scope: UXBRIDGE, MA
  • Total crash records analyzed: 20
  • Total persons involved: 45
  • Total vehicles involved: 37

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: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/uxbridge/august-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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Uxbridge, MA Crash Report — August 2023 | ThatCarHitMe.com