Monthly Traffic Safety Analysis

21 CRASHES IN
BROOKLINE, MA
APRIL 2026

All metrics benchmarked againstApril 2025

In BROOKLINE, MA, total crashes decreased significantly from 41 in April 2025 to 21 in April 2026, representing a 48.8% reduction. This substantial decrease in overall crash incidents is the most notable year-over-year shift for the period.

21

▼ -48.8%was 41

Total Crash Events

0

Persons Killed

11

▼ -35.3%was 17

Persons Injured

1

▼ -66.7%was 3

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 · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BROOKLINE, MA are falling year-over-year, with a 48.8% decrease from 41 total crashes in April 2025 to 21 in April 2026. This represents a significant reduction in crash incidents for the observed month.

1

Hit-and-Run Crashes — April 2026

▼ -66.7% vs prior (3)

Hit-and-run crashes decreased from 3 incidents in April 2025 to 1 incident in April 2026. The hit-and-run rate also decreased from 7.3% of total crashes in April 2025 to 4.8% in April 2026, indicating a downward trend in these types of incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Cyclists Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

1

Pedestrians Injured

Prior: 3↓-66.7%

1

Cyclists Injured

Prior: 2↓-50.0%

9

Motorists Injured

Prior: 12↓-25.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, with 9 incidents in April 2025 and 7 incidents in April 2026. However, the peak hour shifted from 3 PM with 6 crashes in April 2025 to 7 PM with 3 crashes in April 2026, indicating a change in the busiest time for crash occurrences.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both April 2025 and April 2026. Total injuries decreased from 17 in April 2025 to 11 in April 2026. April 2025 reported 2 serious injury crashes, 9 minor injury crashes, and 5 possible injury crashes, while April 2026 had no serious injury crashes, 4 minor injury crashes, and 4 possible injury crashes.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes19%
↓-55.6%prior 9
Possible Injury4possible injury crashes19%
↓-20.0%prior 5
No Injury13no injury crashes61.9%
↓-45.8%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to "No improper driving" decreased from 11 in April 2025 to 3 in April 2026, a 72.7% reduction. "Failed to yield right of way" incidents also decreased from 6 to 2, a 66.7% reduction. Conversely, crashes involving "Made an improper turn" increased from 2 to 3, and "Disregarded traffic signs, signals, road markings" also increased from 2 to 3.

Officer-Reported Primary Contributing Cause

No improper driving3 (14.3%)↓-72.7%prior 11
Made an improper turn3 (14.3%)
Disregarded traffic signs, signals, road markings3 (14.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (9.5%)
Failed to yield right of way2 (9.5%)↓-66.7%prior 6
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (9.5%)
Distracted1 (4.8%)
Other improper action1 (4.8%)
Physical impairment1 (4.8%)
Visibility obstructed1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather was the most common condition for crashes in both periods, with 30 incidents in April 2025 and 14 in April 2026. Crashes occurring in daylight conditions decreased from 39 in April 2025 to 15 in April 2026. Similarly, incidents on dry road surfaces decreased from 35 in April 2025 to 16 in April 2026.

Weather

Clear14 (66.7%)
↓-53.3%prior 30
Rain3 (14.3%)
Cloudy2 (9.5%)
Clear/Clear1 (4.8%)
Rain/Cloudy1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight15 (71.4%)
↓-61.5%prior 39
Dark - lighted roadway6 (28.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Road Surface

Dry16 (76.2%)
↓-54.3%prior 35
Wet5 (23.8%)
↓-16.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (39 vehicles)

1
TOYOTA10 (25.6%)
↑11.1%prior 9
2
FORD7 (17.9%)
↑40.0%prior 5
3
HONDA5 (12.8%)
↓-64.3%prior 14
4
SUBARU4 (10.3%)
5
BMW2 (5.1%)
6
KIA1 (2.6%)
7
KME1 (2.6%)
8
MERCEDES-BENZ1 (2.6%)
9
NISSAN1 (2.6%)
10
TESL1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (42 persons with recorded sex)

Female22 (52.4%)
↓-38.9%prior 36
Male20 (47.6%)
↓-47.4%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

The majority of crashes in both periods occurred in 25 mph speed zones, decreasing from 35 incidents in April 2025 to 16 incidents in April 2026. Crashes in 35 mph zones decreased from 4 to 1. April 2026 reported crashes in 40 mph (1 incident) and 45 mph (1 incident) zones, which were not present in April 2025, while 10 mph zones (2 incidents) were present in April 2025 but not in April 2026.

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

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: BROOKLINE, MA
  • Total crash records analyzed: 21
  • Total persons involved: 49
  • Total vehicles involved: 39

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