Monthly Traffic Safety Analysis

204 CRASHES IN
BROCKTON, MA
OCTOBER 2023

All metrics benchmarked againstOctober 2022

Total crashes in BROCKTON, MA decreased by 15.35% year-over-year, falling from 241 in October 2022 to 204 in October 2023. Despite this overall reduction in crashes, the number of hit-and-run incidents increased significantly during the same period. There were no fatalities reported in either month.

204

-15.4%was 241

Total Crash Events

0

Persons Killed

126

7.7%was 117

Persons Injured

11

83.3%was 6

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. 33 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BROCKTON are falling year-over-year. Total crashes decreased from 241 in October 2022 to 204 in October 2023, representing a 15.35% reduction in crash events.

11

Hit-and-Run Crashes — October 2023

83.3% vs prior (6)

The number of hit-and-run crashes increased from 6 in October 2022 to 11 in October 2023. This resulted in the hit-and-run crash rate rising from 2.5% to 5.4% year-over-year. The hit-and-run rate is trending upwards.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

11

Pedestrians Injured

Prior: 5120.0%

115

Motorists Injured

Prior: 1095.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · 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 Monday with 41 crashes in October 2022 to Tuesday, also with 41 crashes, in October 2023. The peak hour for crashes also shifted, moving from 2 PM with 20 crashes in the prior period to 4 PM with 16 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either October 2023 or October 2022. Total injuries increased by 9, from 117 in October 2022 to 126 in October 2023. The proportion of serious injury crashes rose from 1.7% to 2.9%, and minor injury crashes increased from 16.2% to 22.1% of all crashes.

Outcome by Severity (Crash Events)

Serious Injury6serious injury crashes2.9%
50.0%prior 4
Minor Injury45minor injury crashes22.1%
15.4%prior 39
Possible Injury28possible injury crashes13.7%
0.0%prior 28
No Injury92no injury crashes45.1%
-19.3%prior 114

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to "Failed to yield right of way" decreased by 15, from 53 in October 2022 to 38 in October 2023, a 28.3% reduction. Crashes involving "Followed too closely" also saw a decrease of 4, from 17 to 13, representing a 23.5% drop. Conversely, crashes due to "Failure to keep in proper lane or running off road" increased by 3, from 10 to 13, a 30% rise.

Officer-Reported Primary Contributing Cause

No improper driving47 (23%)-6.0%prior 50
Failed to yield right of way38 (18.6%)-28.3%prior 53
Failure to keep in proper lane or running off road13 (6.4%)30.0%prior 10
Followed too closely13 (6.4%)-23.5%prior 17
Other improper action10 (4.9%)42.9%prior 7
Inattention9 (4.4%)0.0%prior 9
Disregarded traffic signs, signals, road markings7 (3.4%)-36.4%prior 11
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner7 (3.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway4 (2%)
Distracted4 (2%)-20.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in clear weather conditions remained stable, with 157 in October 2023 compared to 154 in October 2022. However, crashes in rainy conditions significantly decreased from 36 to 17. The number of crashes on wet road surfaces also saw a substantial reduction, falling from 70 to 28.

Weather

Clear157 (77.0%)
1.9%prior 154
Rain17 (8.3%)
-52.8%prior 36
Cloudy11 (5.4%)
-15.4%prior 13
Clear/Unknown9 (4.4%)
Cloudy/Unknown3 (1.5%)
Rain/Cloudy2 (1.0%)
Clear/Cloudy2 (1.0%)
-81.8%prior 11
Cloudy/Rain2 (1.0%)
-89.5%prior 19
Fog, smog, smoke1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash

Lighting

Daylight128 (62.7%)
-14.7%prior 150
Dark - lighted roadway60 (29.4%)
-7.7%prior 65
Dark - roadway not lighted6 (2.9%)
-33.3%prior 9
Dusk5 (2.5%)
-16.7%prior 6
Dawn4 (2.0%)
-55.6%prior 9
Dark - unknown roadway lighting1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field

Road Surface

Dry176 (86.3%)
3.5%prior 170
Wet28 (13.7%)
-60.0%prior 70

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 92, from 485 in October 2022 to 393 in October 2023. The 35-44 age group saw a decrease in persons involved from 130 to 101, and the 26-34 age group decreased from 112 to 99. Toyota remained the top vehicle make involved, though its count decreased from 90 to 76.

Top Vehicle Makes (393 vehicles)

1
TOYOTA76 (19.3%)
-15.6%prior 90
2
HONDA58 (14.8%)
-17.1%prior 70
3
NISSAN40 (10.2%)
-14.9%prior 47
4
FORD37 (9.4%)
-38.3%prior 60
5
CHEVROLET34 (8.7%)
-20.9%prior 43
6
HYUNDAI16 (4.1%)
-5.9%prior 17
7
JEEP12 (3.1%)
-14.3%prior 14
8
INFI10 (2.5%)
-16.7%prior 12
9
BMW9 (2.3%)
28.6%prior 7
10
ACURA9 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Vehicle unit records

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

Sex Distribution (485 persons with recorded sex)

Male280 (57.7%)
-16.2%prior 334
Female204 (42.1%)
-12.1%prior 232
X / Unspecified1 (0.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 204 in October 2022 to 172 in October 2023. Crashes in the 65 mph speed zone slightly increased from 10 to 11. No fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · 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: 2023-10-01 through 2023-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-10-01 through 2023-10-31 (31 days)
  • Geographic scope: BROCKTON, MA
  • Total crash records analyzed: 204
  • Total persons involved: 534
  • Total vehicles involved: 393

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). "BROCKTON, MA Crash Intelligence Report: October 2023." Published June 21, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/brockton/october-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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Brockton, MA Crash Report — October 2023 | ThatCarHitMe.com