Monthly Traffic Safety Analysis

9 CRASHES IN
BOXBOROUGH, MA
JUNE 2022

All metrics benchmarked againstJune 2021

Total crashes in BOXBOROUGH, MA increased by 12.5%, from 8 in June 2021 to 9 in June 2022. The most significant year-over-year shift was a 300% increase in total injuries, rising from 2 in June 2021 to 8 in June 2022. This indicates a notable increase in the severity of crash outcomes despite a modest rise in crash frequency.

9

12.5%was 8

Total Crash Events

0

Persons Killed

8

300.0%was 2

Persons Injured

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 · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BOXBOROUGH, MA saw a slight increase year-over-year, rising from 8 total crashes in June 2021 to 9 in June 2022, representing a 12.5% increase. Total injuries experienced a substantial increase, jumping from 2 in June 2021 to 8 in June 2022, a 300% rise.

1

Hit-and-Run Crashes — June 2022

11.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

8

Motorists Injured

Prior: 2300.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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 with 2 crashes in June 2021 to Wednesday with 3 crashes in June 2022. The peak hour for crashes also shifted, moving from 3p with 2 crashes in June 2021 to 5p with 2 crashes in June 2022. Crashes on Monday increased from 0 to 2, while Friday saw a decrease from 2 to 0 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both June 2021 and June 2022. However, total injuries significantly increased from 2 in June 2021 to 8 in June 2022. Minor injuries, coded 'B', saw a substantial rise from 1 crash (12.5% share) in June 2021 to 4 crashes (44.4% share) in June 2022, while crashes with no injury decreased from 5 (62.5% share) to 4 (44.4% share).

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes44.4%
300.0%prior 1
Possible Injury1possible injury crashes11.1%
0.0%prior 1
No Injury4no injury crashes44.4%
-20.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Top Contributing Factors

Among common contributing factors, 'Inattention' decreased by 1 crash, from 2 in June 2021 to 1 in June 2022. Factors such as 'Followed too closely' (2 crashes), 'Exceeded authorized speed limit' (1 crash), 'Driving too fast for conditions' (1 crash), 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' (1 crash), and 'Visibility obstructed' (1 crash) emerged in June 2022 after not being present in June 2021. Conversely, 'No improper driving' (3 crashes) and 'Failed to yield right of way' (1 crash) were reported in June 2021 but not in June 2022.

Officer-Reported Primary Contributing Cause

Followed too closely2 (22.2%)
Exceeded authorized speed limit1 (11.1%)
Failure to keep in proper lane or running off road1 (11.1%)
Inattention1 (11.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (11.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (11.1%)
Driving too fast for conditions1 (11.1%)
Visibility obstructed1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding lighting conditions, crashes occurring in 'Daylight' increased from 7 in June 2021 to 8 in June 2022. A crash under 'Dark - roadway not lighted' conditions was reported in June 2022, whereas a crash at 'Dawn' was reported in June 2021. For road surface conditions, crashes on 'Dry' roads increased from 6 in June 2021 to 8 in June 2022, while crashes on 'Wet' roads decreased from 2 to 1 over the same period.

Lighting

Daylight8 (88.9%)
14.3%prior 7
Dark - roadway not lighted1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry8 (88.9%)
33.3%prior 6
Wet1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (19 vehicles)

1
TOYOTA4 (21.1%)
2
HONDA3 (15.8%)
3
CHEVROLET2 (10.5%)
4
MAZDA2 (10.5%)
5
HYUNDAI1 (5.3%)
6
JAGUAR1 (5.3%)
7
JEEP1 (5.3%)
8
MACK1 (5.3%)
9
FORD1 (5.3%)
10
SUBARU1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records

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

Sex Distribution (23 persons with recorded sex)

Male16 (69.6%)
128.6%prior 7
Female7 (30.4%)
40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed zone doubled, increasing from 3 in June 2021 to 6 in June 2022. The 40 mph speed zone also saw an increase, from 1 crash in June 2021 to 2 crashes in June 2022. Notably, crashes in the 10, 20, and 25 mph speed zones, which each accounted for 1 crash in June 2021, were not present in June 2022 crash data. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: BOXBOROUGH, MA
  • Total crash records analyzed: 9
  • Total persons involved: 24
  • Total vehicles involved: 19

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). "BOXBOROUGH, MA Crash Intelligence Report: June 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/boxborough/june-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

Boxborough, MA Crash Report — June 2022 | ThatCarHitMe.com