ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BROCKTON, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/brockton/2024-annual-report
Yearly Traffic Safety Analysis
2,559 CRASHES IN
BROCKTON, MA
2024
In 2024, Brockton recorded 2,559 total traffic crashes, a 9.5% increase from the 2,338 crashes reported in 2023. Total injuries remained stable at 1,231 compared to 1,226 in the prior year, while fatalities rose from 6 to 7. One of the most notable changes was a 32.1% increase in the number of hit-and-run incidents, which grew from 78 in 2023 to 103 in 2024.
2,559
▲ 9.5%was 2,338
Total Crash Events
7
▲ 16.7%was 6
Persons Killed
1,231
▲ 0.4%was 1,226
Persons Injured
103
▲ 32.1%was 78
Hit-and-Run Crashes
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 351 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a rising trend in traffic collisions in Brockton. Total crashes increased by 9.5%, from 2,338 in 2023 to 2,559 in 2024. While the total number of injuries saw a marginal increase from 1,226 to 1,231, the number of fatalities increased from 6 to 7.
103
Hit-and-Run Crashes — 2024
▲ 32.1% vs prior (78)
The data indicates an upward trend in hit-and-run incidents in Brockton. The number of hit-and-run crashes increased by 32.1%, from 78 in 2023 to 103 in 2024. This pushed the hit-and-run rate, or the percentage of total crashes that were hit-and-runs, up from 3.3% to 4.0%.
Vulnerable Road User Casualties
4
Pedestrians Killed
0
Cyclists Killed
3
Motorists Killed
0
Other Killed
42
Pedestrians Injured
15
Cyclists Injured
1,171
Motorists Injured
3
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Brockton showed some shifts between 2023 and 2024. The peak day for collisions moved from Monday (384 crashes) in 2023 to Friday (402 crashes) in 2024. The peak hour for crashes remained consistent at 4 p.m. in both years, though the number of incidents during this hour increased from 178 to 202.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes in Brockton shifted between the two periods. Crashes resulting in serious injuries decreased from 85 (3.6% of total) in 2023 to 62 (2.4% of total) in 2024. Conversely, the count of crashes with no injuries increased from 1,163 to 1,368, raising their share of all crashes from 49.7% to 53.5%. The number of fatal crashes increased from 6 to 7, but their proportion of total crashes remained stable at 0.3%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The ranking of the top five contributing factors to crashes remained unchanged between 2023 and 2024, with 'Failed to yield right of way' being the most cited driver error in both periods. The count of crashes attributed to this factor decreased slightly from 471 to 458. The number of crashes where 'No improper driving' was cited saw a 27.5% increase in count, rising from 505 to 644. Other top factors also saw an increase in count, including 'Followed too closely' (from 163 to 186) and 'Failure to keep in proper lane' (from 141 to 161).
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
In 2024, a larger proportion of crashes occurred during daylight hours compared to the previous year, increasing from 58.3% to 61.7% of all incidents. Similarly, the share of crashes on dry road surfaces rose from 78.9% of the total in 2023 to 80.1% in 2024. Correspondingly, the proportion of crashes occurring on wet roads decreased from 19.2% to 17.1%, and collisions in the rain fell from 9.4% to 8.1% of the total.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained largely consistent, with Toyota (973 vehicles) and Honda (745 vehicles) holding the top two spots in 2024, both with increased counts from the prior year. Regarding persons involved, the 26-34 and 35-44 age groups continued to be the most frequently represented, with their counts increasing to 1,228 and 1,199, respectively. The 45-54 age group saw a notable rise in involvement, from 671 individuals in 2023 to 829 in 2024.
Top Vehicle Makes (4,965 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
572 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (5,836 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes remained heavily concentrated in 30 mph speed zones, with the count in this zone increasing from 1,935 in 2023 to 2,182 in 2024. In contrast, the number of crashes in 65 mph zones decreased from 137 to 122. A notable shift occurred in the location of fatal crashes; while 2023 saw fatalities in both 30 mph (3) and 65 mph (2) zones, all 7 fatal crashes recorded in 2024 occurred within 30 mph zones.
Fatal crashes by zone: 30 mph: 7 of 2,182 (0.321%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: BROCKTON, MA
- Total crash records analyzed: 2,559
- Total persons involved: 6,452
- Total vehicles involved: 4,965
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/brockton/2024-annual-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved