Monthly Traffic Safety Analysis

12 CRASHES IN
GROTON, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, GROTON experienced 12 crashes, a 42.9% decrease from the 21 crashes reported in June 2022. The most significant change was an 87.5% reduction in total injuries, falling from 8 to 1 year-over-year.

12

-42.9%was 21

Total Crash Events

0

Persons Killed

1

-87.5%was 8

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for GROTON shows a downward trend year-over-year. Total crashes decreased by 42.9%, from 21 in June 2022 to 12 in June 2023. Similarly, total injuries saw a substantial decrease of 87.5%, from 8 to 1.

1

Hit-and-Run Crashes — June 2023

8.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 8-87.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Wednesday in both periods, though the count decreased from 5 crashes in June 2022 to 4 crashes in June 2023. The peak crash hour shifted from 4p with 4 crashes in June 2022 to 9p with 2 crashes in June 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both June 2022 and June 2023. Total injuries significantly decreased from 8 in June 2022 to 1 in June 2023, an 87.5% reduction. The proportion of crashes resulting in injury also decreased, with 23.8% of crashes involving injury in June 2022 (5 crashes) compared to 8.3% in June 2023 (1 crash).

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes8.3%
-66.7%prior 3
No Injury10no injury crashes83.3%
-37.5%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

The count of 'No improper driving' as a contributing factor decreased from 6 in June 2022 to 2 in June 2023. 'Inattention' was associated with 3 crashes in both periods. 'Failure to keep in proper lane or running off road' was associated with 3 crashes in June 2023, while it was not among the top factors in June 2022.

Officer-Reported Primary Contributing Cause

Failure to keep in proper lane or running off road3 (25%)
Inattention3 (25%)
No improper driving2 (16.7%)-66.7%prior 6
Failed to yield right of way1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather decreased from 16 in June 2022 to 6 in June 2023, while 'Cloudy' weather crashes slightly increased from 4 to 5. Crashes under 'Daylight' conditions decreased from 15 to 9 year-over-year. The number of crashes on 'Dry' road surfaces decreased from 20 to 10, while crashes on 'Wet' surfaces increased from 1 to 2.

Weather

Clear6 (50.0%)
-62.5%prior 16
Cloudy5 (41.7%)
Cloudy/Rain1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight9 (75.0%)
-40.0%prior 15
Dark - roadway not lighted2 (16.7%)
-60.0%prior 5
Dark - unknown roadway lighting1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry10 (83.3%)
-50.0%prior 20
Wet2 (16.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (21 vehicles)

1
TOYOTA6 (28.6%)
20.0%prior 5
2
FORD4 (19%)
3
HONDA2 (9.5%)
4
LINC1 (4.8%)
5
NISSAN1 (4.8%)
6
SUBARU1 (4.8%)
7
KIA1 (4.8%)
8
DODGE1 (4.8%)
9
GMC1 (4.8%)
10
CHEVROLET1 (4.8%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (22 persons with recorded sex)

Male16 (72.7%)
-27.3%prior 22
Female6 (27.3%)
-68.4%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Fatalities remained at 0 across all speed zones in both periods. Crashes in 30 mph zones significantly decreased from 11 in June 2022 to 2 in June 2023. Crashes in 40 mph zones also decreased from 3 to 1, while crashes in 35 mph zones remained at 5 in both periods. Additionally, June 2023 reported crashes in 10 mph (1 crash) and 20 mph (1 crash) zones, which were not present in June 2022 data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: GROTON, MA
  • Total crash records analyzed: 12
  • Total persons involved: 24
  • Total vehicles involved: 21

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). "GROTON, MA Crash Intelligence Report: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/groton/june-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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Groton, MA Crash Report — June 2023 | ThatCarHitMe.com