Monthly Traffic Safety Analysis

9 CRASHES IN
NORTH BROOKFIELD, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, NORTH BROOKFIELD experienced 9 total crashes, an 80% increase compared to the 5 crashes recorded in June 2022. This period also saw a notable rise in total injuries, increasing by 150% from 2 to 5. The most significant year-over-year shift was the overall increase in crash volume and the emergence of several contributing factors not observed in the prior year.

9

80.0%was 5

Total Crash Events

0

Persons Killed

5

150.0%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 · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant increase in crash activity year-over-year. Total crashes rose by 80%, from 5 crashes in June 2022 to 9 crashes in June 2023. Concurrently, total injuries increased by 150%, from 2 in June 2022 to 5 in June 2023, while fatalities remained at 0 in both periods.

1

Hit-and-Run Crashes — June 2023

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%

5

Motorists Injured

Prior: 2150.0%

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 shifted from Thursday in June 2022, which had 2 crashes, to Friday in June 2023, which recorded 4 crashes. Crashes on Sunday increased from 0 to 3, and Saturday crashes increased from 0 to 1. The peak hour remained consistent at 3p, with 2 crashes reported during this hour in both June 2022 and 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

Fatal crashes remained at 0 in both periods. Minor injury crashes (severity B) increased by 50%, from 2 in June 2022 to 3 in June 2023. Additionally, 1 crash with a possible injury (severity C) was recorded in June 2023, which was not present in June 2022, contributing to the 150% increase in total injuries.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes33.3%
50.0%prior 2
Possible Injury1possible injury crashes11.1%
No Injury5no injury crashes55.6%
66.7%prior 3

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 contributing factor 'No improper driving' was not present in June 2022 but accounted for 5 crashes in June 2023, representing 55.6% of current crashes. 'Inattention' decreased from 2 crashes in June 2022 to 0 in June 2023. Factors such as 'Driving too fast for conditions,' 'Emotional,' 'Failed to yield right of way,' and 'Fatigued/asleep' each emerged with 1 crash in June 2023, none of which were reported in June 2022.

Officer-Reported Primary Contributing Cause

No improper driving5 (55.6%)
Driving too fast for conditions1 (11.1%)
Emotional1 (11.1%)
Failed to yield right of way1 (11.1%)
Fatigued/asleep1 (11.1%)

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 conditions increased from 3 in June 2022 to 7 in June 2023. 'Cloudy' weather crashes decreased from 2 to 1, while 1 crash occurred in 'Rain' conditions in June 2023, which was not reported in the prior period. For lighting conditions, 'Daylight' crashes increased from 4 to 6, and crashes in 'Dark - lighted roadway' and 'Dusk' conditions each appeared with 1 crash in June 2023, not being present in June 2022.

Weather

Clear7 (77.8%)
Cloudy1 (11.1%)
Rain1 (11.1%)

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

Lighting

Daylight6 (66.7%)
Dark - lighted roadway1 (11.1%)
Dawn1 (11.1%)
Dusk1 (11.1%)

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

Road Surface

Dry8 (88.9%)
Wet1 (11.1%)

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 (16 vehicles)

1
FORD3 (18.8%)
2
TOYOTA2 (12.5%)
3
NISSAN2 (12.5%)
4
HONDA1 (6.3%)
5
HYUNDAI1 (6.3%)
6
LEXUS1 (6.3%)
7
SUBARU1 (6.3%)
8
BUIC1 (6.3%)
9
VOLKSWAGEN1 (6.3%)
10
CHEVROLET1 (6.3%)

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

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

Sex Distribution (19 persons with recorded sex)

Male12 (63.2%)
100.0%prior 6
Female7 (36.8%)
75.0%prior 4

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

Crashes in 25 mph zones increased from 3 in June 2022 to 4 in June 2023. Crashes in 30 mph and 35 mph zones remained stable with 1 crash each in both periods. New speed zones with reported crashes in June 2023 include 10 mph (1 crash), 15 mph (1 crash), and 50 mph (1 crash), none of which had crashes in June 2022. No fatal crashes were reported in any speed zone for either period.

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: NORTH BROOKFIELD, MA
  • Total crash records analyzed: 9
  • Total persons involved: 20
  • Total vehicles involved: 16

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). "NORTH BROOKFIELD, 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/north-brookfield/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

ThatCarHitMe.com · An Injuria.ai Company

North Brookfield, MA Crash Report — June 2023 | ThatCarHitMe.com