Monthly Traffic Safety Analysis

5 CRASHES IN
EAST BROOKFIELD, MA
JULY 2023

All metrics benchmarked againstJuly 2022

Total crashes in East Brookfield remained stable at 5 in July 2023, matching the 5 crashes recorded in July 2022, representing a 0% change year-over-year. Total injuries also held steady at 2 in both periods, with no fatalities reported in either month. A notable shift was observed in contributing factors, with 'Followed too closely' becoming the leading factor in July 2023.

5

Total Crash Events

0

Persons Killed

2

Persons Injured

0

Fatal Crash Events

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for crashes in East Brookfield is stable year-over-year, with total crashes remaining at 5 for both July 2023 and July 2022. There was no change in the number of total fatalities or total injuries, which stood at 0 and 2 respectively in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 July 2022, which saw 2 crashes, to Saturday in July 2023, also with 2 crashes. The peak crash hour changed from 3 p.m. in July 2022 (2 crashes) to 9 p.m. in July 2023 (1 crash), indicating a shift in the temporal distribution of incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The distribution of crash severity remained consistent year-over-year for July. Both July 2023 and July 2022 recorded 2 minor injury crashes, accounting for 40% of the total crashes, and 3 no-injury crashes, making up 60% of the total. No fatal crashes occurred in either period.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes40%
0.0%prior 2
No Injury3no injury crashes60%
0.0%prior 3

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factors saw changes year-over-year; 'Followed too closely' was a new leading factor in July 2023 with 2 crashes, while it was not listed in July 2022. 'Distracted' and 'Failure to keep in proper lane or running off road' each accounted for 1 crash in both periods, showing no change in count. Factors such as 'Inattention,' 'No improper driving,' and 'Visibility obstructed,' each with 1 crash in July 2022, were not present in July 2023 data.

Officer-Reported Primary Contributing Cause

Followed too closely2 (40%)
Distracted1 (20%)
Failure to keep in proper lane or running off road1 (20%)
Fatigued/asleep1 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather conditions remained largely similar, with 4 crashes occurring in clear conditions in both July 2023 and July 2022. The single non-clear crash shifted from 'Clear/Other' in July 2022 to 'Cloudy' in July 2023. Lighting conditions were identical, with 4 crashes in daylight and 1 in dark-lighted roadway in both periods.

Weather

Clear4 (80.0%)
Cloudy1 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight4 (80.0%)
Dark - lighted roadway1 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (8 vehicles)

1
BUIC2 (25%)
2
FORD2 (25%)
3
CHEVROLET1 (12.5%)
4
HONDA1 (12.5%)
5
KIA1 (12.5%)
6
MITS1 (12.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

Sex Distribution (12 persons with recorded sex)

Female6 (50.0%)
50.0%prior 4
Male6 (50.0%)
0.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones increased from 2 in July 2022 to 4 in July 2023. Crashes in 45 mph zones remained stable at 1 in both periods. Speed zones of 35 mph and 40 mph, each with 1 crash in July 2022, recorded no crashes in July 2023, indicating a concentration of incidents in the 30 mph zone.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: EAST BROOKFIELD, MA
  • Total crash records analyzed: 5
  • Total persons involved: 12
  • Total vehicles involved: 8

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). "EAST BROOKFIELD, MA Crash Intelligence Report: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-brookfield/july-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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East Brookfield, MA Crash Report — July 2023 | ThatCarHitMe.com