Monthly Traffic Safety Analysis

193 CRASHES IN
BROCKTON, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, Brockton experienced 193 total crashes, a decrease of 4.46% compared to the 202 crashes reported in April 2021. Total injuries decreased from 139 to 110, a 20.9% reduction year-over-year. A notable shift was the increase in hit-and-run crashes, which rose from 1 to 5.

193

-4.5%was 202

Total Crash Events

0

Persons Killed

110

-20.9%was 139

Persons Injured

5

400.0%was 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. 39 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight decrease in total crashes, with a 4.46% reduction from 202 crashes in April 2021 to 193 crashes in April 2022. Total injuries also saw a significant decrease, falling by 20.9% from 139 to 110. Fatalities remained at zero in both periods.

5

Hit-and-Run Crashes — April 2022

400.0% vs prior (1)

Hit-and-run crashes increased significantly, rising from 1 in April 2021 to 5 in April 2022. This change resulted in the hit-and-run crash rate increasing from 0.5% to 2.6% year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

4

Pedestrians Injured

Prior: 5-20.0%

1

Cyclists Injured

Prior: 0%

105

Motorists Injured

Prior: 134-21.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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 Sunday with 43 crashes in April 2021 to Friday with 41 crashes in April 2022. The peak hour for crashes also shifted slightly, from 2 p.m. with 18 crashes in April 2021 to 3 p.m. with 17 crashes in April 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Serious injuries (Severity A) decreased significantly from 8 in April 2021 to 3 in April 2022. Minor injuries (Severity B) also saw a reduction from 42 to 37, and possible injuries (Severity C) decreased from 34 to 28. Conversely, crashes with no reported injuries increased from 76 to 86 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes1.6%
-62.5%prior 8
Minor Injury37minor injury crashes19.2%
-11.9%prior 42
Possible Injury28possible injury crashes14.5%
-17.6%prior 34
No Injury86no injury crashes44.6%
13.2%prior 76

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Failed to yield right of way' decreased from a count of 46 in April 2021 to 34 in April 2022, representing a 26.1% reduction. 'No improper driving' remained consistent with 38 crashes in both periods. 'Followed too closely' crashes increased in count from 16 to 20, a 25% increase year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving38 (19.7%)0.0%prior 38
Failed to yield right of way34 (17.6%)-26.1%prior 46
Followed too closely20 (10.4%)25.0%prior 16
Failure to keep in proper lane or running off road11 (5.7%)-21.4%prior 14
Other improper action9 (4.7%)0.0%prior 9
Disregarded traffic signs, signals, road markings7 (3.6%)16.7%prior 6
Inattention6 (3.1%)-33.3%prior 9
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (3.1%)-45.5%prior 11
Distracted4 (2.1%)
Operating defective equipment2 (1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions slightly increased from 141 to 146 year-over-year, while those in 'Rain' decreased from 11 to 8. Crashes during 'Daylight' decreased from 141 to 130, and those in 'Dark - lighted roadway' decreased from 51 to 45. Crashes on 'Wet' road surfaces decreased from 25 to 18, while 'Dry' road surface crashes remained at 175.

Weather

Clear146 (75.6%)
3.5%prior 141
Cloudy12 (6.2%)
20.0%prior 10
Clear/Cloudy10 (5.2%)
-16.7%prior 12
Rain8 (4.1%)
-27.3%prior 11
Clear/Unknown7 (3.6%)
-22.2%prior 9
Cloudy/Rain4 (2.1%)
Clear/Other2 (1.0%)
-66.7%prior 6
Rain/Cloudy2 (1.0%)
Rain/Other1 (0.5%)
Clear/Rain1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight130 (67.4%)
-7.8%prior 141
Dark - lighted roadway45 (23.3%)
-11.8%prior 51
Dark - roadway not lighted8 (4.1%)
Dawn5 (2.6%)
Dusk3 (1.6%)
Other2 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry175 (90.7%)
0.0%prior 175
Wet18 (9.3%)
-28.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 523 in April 2021 to 479 in April 2022. Among age groups, persons aged 26-34 saw the largest decrease, from 108 to 66. Toyota, Honda, and Nissan remained the top three vehicle makes involved in crashes, though their individual counts decreased year-over-year.

Top Vehicle Makes (370 vehicles)

1
TOYOTA64 (17.3%)
-5.9%prior 68
2
HONDA44 (11.9%)
-25.4%prior 59
3
NISSAN41 (11.1%)
-29.3%prior 58
4
FORD37 (10%)
-7.5%prior 40
5
CHEVROLET28 (7.6%)
-3.4%prior 29
6
HYUNDAI16 (4.3%)
220.0%prior 5
7
DODGE15 (4.1%)
50.0%prior 10
8
ACURA13 (3.5%)
85.7%prior 7
9
LEXUS11 (3%)
10
JEEP11 (3%)
-15.4%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

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

Sex Distribution (436 persons with recorded sex)

Male260 (59.6%)
-8.5%prior 284
Female176 (40.4%)
-11.1%prior 198

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph speed zones decreased from 180 in April 2021 to 166 in April 2022. Conversely, crashes in 65 mph speed zones increased from 4 to 13. There were no fatal crashes reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: BROCKTON, MA
  • Total crash records analyzed: 193
  • Total persons involved: 479
  • Total vehicles involved: 370

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: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/brockton/april-2022-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 — April 2022 | ThatCarHitMe.com