Monthly Traffic Safety Analysis

20 CRASHES IN
SUDBURY, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

In August 2022, SUDBURY, MA recorded 20 crashes, a 25% increase from the 16 crashes reported in August 2021. The most significant change was a substantial rise in total injuries, which increased from 3 in the prior period to 11 in the current period.

20

25.0%was 16

Total Crash Events

0

Persons Killed

11

266.7%was 3

Persons Injured

0

-100.0%was 1

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes increased from 16 in August 2021 to 20 in August 2022, representing a 25% rise. Concurrently, total injuries surged from 3 to 11, marking a 266.7% increase year-over-year. This indicates an upward trend in both crash frequency and injury severity for the month.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

11

Motorists Injured

Prior: 3266.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

In August 2021, the peak day for crashes was Monday with 5 incidents, shifting to Thursday in August 2022 with 7 incidents. The peak hour for crashes also changed, moving from 5 PM with 3 crashes in the prior period to 3 PM with 3 crashes in the current period. This suggests a shift in the timing of peak crash activity.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2021 and August 2022. However, total injuries significantly increased from 3 to 11 year-over-year. The proportion of crashes resulting in minor injuries (code B) rose from 18.8% in the prior period to 35% in the current period, and possible injuries (code C) appeared in the current period, accounting for 5% of crashes.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes35%
133.3%prior 3
Possible Injury1possible injury crashes5%
No Injury12no injury crashes60%
-7.7%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

"No improper driving" increased from 3 crashes in August 2021 to 6 crashes in August 2022, and its share rose from 18.8% to 30%. "Followed too closely" also saw an increase, from 2 crashes to 4 crashes. Conversely, "Inattention" decreased from 4 crashes to 1 crash, dropping from the top factor in the prior period to a lower rank in the current period. "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" appeared as a significant factor in the current period with 2 crashes, having not been present in the top factors of the prior period.

Officer-Reported Primary Contributing Cause

No improper driving6 (30%)
Followed too closely4 (20%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (10%)
Failed to yield right of way2 (10%)
Other improper action1 (5%)
Distracted1 (5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (5%)
Failure to keep in proper lane or running off road1 (5%)
Fatigued/asleep1 (5%)
Inattention1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in "Clear" weather conditions increased from 9 in August 2021 to 16 in August 2022. Crashes during "Daylight" conditions also rose from 13 to 18 year-over-year. The "Road Surface" data for the prior period is not available for comparison, but in the current period, 18 crashes occurred on dry surfaces, 1 on sand/mud/dirt/oil/gravel, and 1 on wet surfaces.

Weather

Clear16 (80.0%)
77.8%prior 9
Cloudy2 (10.0%)
Clear/Cloudy1 (5.0%)
Rain/Cloudy1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight18 (90.0%)
38.5%prior 13
Dark - lighted roadway1 (5.0%)
Dark - roadway not lighted1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry18 (90.0%)
Sand, mud, dirt, oil, gravel1 (5.0%)
Wet1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (38 vehicles)

1
FORD7 (18.4%)
2
TOYOTA5 (13.2%)
-44.4%prior 9
3
HONDA5 (13.2%)
-28.6%prior 7
4
MERCEDES-BENZ3 (7.9%)
5
SUBARU2 (5.3%)
6
BMW2 (5.3%)
7
JEEP2 (5.3%)
8
KIA1 (2.6%)
9
MAZDA1 (2.6%)
10
NISSAN1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (51 persons with recorded sex)

Female29 (56.9%)
93.3%prior 15
Male22 (43.1%)
4.8%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

The 30 mph speed zone saw the largest increase in crashes, rising from 7 in August 2021 to 11 in August 2022. Crashes in the 40 mph zone also increased from 2 to 3. Conversely, crashes in the 25 mph zone decreased from 2 to 1, and in the 35 mph zone from 5 to 3. There were no fatal crashes in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: SUDBURY, MA
  • Total crash records analyzed: 20
  • Total persons involved: 52
  • Total vehicles involved: 38

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). "SUDBURY, MA Crash Intelligence Report: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sudbury/august-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

ThatCarHitMe.com · An Injuria.ai Company

Sudbury, MA Crash Report — August 2022 | ThatCarHitMe.com