Monthly Traffic Safety Analysis

477 CRASHES IN
BOSTON, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, Boston experienced 477 total crashes, a decrease of 4.6% compared to 500 crashes in June 2023. However, total fatalities increased by 100%, from 1 fatality in June 2023 to 2 fatalities in June 2024. Total injuries also saw an increase of 3.94%, rising from 203 to 211 year-over-year.

477

-4.6%was 500

Total Crash Events

2

100.0%was 1

Persons Killed

211

3.9%was 203

Persons Injured

70

-11.4%was 79

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for June 2024 shows a decrease in total crashes by 4.6% compared to the previous year. Despite fewer crashes, total fatalities increased significantly by 100%, from 1 to 2, and total injuries rose by 3.94%, from 203 to 211.

70

Hit-and-Run Crashes — June 2024

-11.4% vs prior (79)

Hit-and-run crashes decreased by 9, from 79 in June 2023 to 70 in June 2024. The hit-and-run rate also decreased by 1.1 percentage points, from 15.8% in June 2023 to 14.7% in June 2024, indicating a downward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

2

Motorists Killed

Prior: 1100.0%

0

Other Killed

Prior: 00.0%

6

Pedestrians Injured

Prior: 10-40.0%

11

Cyclists Injured

Prior: 837.5%

190

Motorists Injured

Prior: 1833.8%

4

Other Injured

Prior: 2100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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 Friday in June 2023 (94 crashes) to Saturday in June 2024 (87 crashes). The peak crash hour also saw a change, moving from 3p and 4p (39 crashes each) in June 2023 to 1p and 4p (33 crashes each) in June 2024. Notably, crashes on Thursdays decreased from 93 in June 2023 to 55 in June 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased by 100% year-over-year, rising from 1 crash in June 2023 to 2 crashes in June 2024, with the fatal rate increasing from 0.2% to 0.42%. Minor injury crashes increased by 23, from 78 to 101, with their share of total crashes rising from 15.6% to 21.2%. Conversely, possible injury crashes decreased by 12, from 59 to 47, and crashes with no injuries decreased by 26, from 330 to 304.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.4%
100.0%prior 1
Serious Injury14serious injury crashes2.9%
7.7%prior 13
Minor Injury101minor injury crashes21.2%
29.5%prior 78
Possible Injury47possible injury crashes9.9%
-20.3%prior 59
No Injury304no injury crashes63.7%
-7.9%prior 330

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased by 29, from 91 in June 2023 to 62 in June 2024. Factors showing notable increases include 'Distracted' driving (up 7 crashes, from 4 to 11), 'Made an improper turn' (up 8 crashes, from 12 to 20), and 'Inattention' (up 8 crashes, from 15 to 23). 'Failure to keep in proper lane or running off road' also increased by 8 crashes, from 15 to 23. Conversely, 'Exceeded authorized speed limit' decreased by 8 crashes, from 15 to 7.

Officer-Reported Primary Contributing Cause

Followed too closely74 (15.5%)-6.3%prior 79
No improper driving62 (13%)-31.9%prior 91
Failed to yield right of way41 (8.6%)-16.3%prior 49
Inattention23 (4.8%)53.3%prior 15
Failure to keep in proper lane or running off road23 (4.8%)53.3%prior 15
Disregarded traffic signs, signals, road markings22 (4.6%)-29.0%prior 31
Made an improper turn20 (4.2%)66.7%prior 12
Driving too fast for conditions19 (4%)35.7%prior 14
Other improper action15 (3.1%)7.1%prior 14
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner13 (2.7%)-31.6%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased by 50, from 315 in June 2023 to 365 in June 2024. Concurrently, crashes during rain decreased by 44, from 65 to 21, and crashes on wet road surfaces decreased by 47, from 79 to 32. Crashes occurring in daylight decreased by 22, from 317 to 295, while those in dark-lighted roadway conditions decreased by 14, from 131 to 117.

Weather

Clear365 (86.1%)
15.9%prior 315
Cloudy21 (5.0%)
-57.1%prior 49
Rain21 (5.0%)
-67.7%prior 65
Clear/Clear8 (1.9%)
Cloudy/Rain6 (1.4%)
-53.8%prior 13
Clear/Rain2 (0.5%)
Cloudy/Clear1 (0.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight295 (67.7%)
-6.9%prior 317
Dark - lighted roadway117 (26.8%)
-10.7%prior 131
Dusk12 (2.8%)
71.4%prior 7
Dawn6 (1.4%)
-25.0%prior 8
Dark - unknown roadway lighting3 (0.7%)
Dark - roadway not lighted3 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry380 (92.0%)
6.1%prior 358
Wet32 (7.7%)
-59.5%prior 79
Other1 (0.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 40, from 987 in June 2023 to 947 in June 2024. Among persons involved, the 21-25 age group saw an increase of 14 individuals, from 132 to 146, while the 0-15 age group decreased by 9 individuals, from 24 to 15. The top vehicle makes, Toyota, Honda, and Ford, maintained their positions, with Toyota decreasing by 2 vehicles and Ford by 8 vehicles.

Top Vehicle Makes (947 vehicles)

1
TOYOTA186 (19.6%)
-1.1%prior 188
2
HONDA143 (15.1%)
0.0%prior 143
3
FORD100 (10.6%)
-7.4%prior 108
4
NISSAN57 (6%)
-1.7%prior 58
5
JEEP46 (4.9%)
-4.2%prior 48
6
CHEVROLET40 (4.2%)
-11.1%prior 45
7
SUBARU31 (3.3%)
-11.4%prior 35
8
BMW25 (2.6%)
4.2%prior 24
9
HYUNDAI22 (2.3%)
-4.3%prior 23
10
ACURA20 (2.1%)
-13.0%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (983 persons with recorded sex)

Male642 (65.3%)
5.8%prior 607
Female341 (34.7%)
-12.3%prior 389

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 MPH speed zone decreased by 23, from 165 in June 2023 to 142 in June 2024. Conversely, crashes in the 35 MPH zone increased by 17, from 40 to 57. Fatalities shifted from the 25 MPH zone (1 fatality) in June 2023 to the 35 MPH zone (2 fatalities) in June 2024.

Fatal crashes by zone: 35 mph: 2 of 57 (3.509%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: BOSTON, MA
  • Total crash records analyzed: 477
  • Total persons involved: 1,153
  • Total vehicles involved: 947

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). "BOSTON, MA Crash Intelligence Report: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/boston/june-2024-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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Boston, MA Crash Report — June 2024 | ThatCarHitMe.com