Monthly Traffic Safety Analysis

11,660 CRASHES IN
MASSACHUSETTS, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, there were 11,660 total crashes, a 2.2% increase from the 11,413 crashes recorded in June 2023. The most significant year-over-year change was a 55% rise in total fatalities, which increased from 20 in the prior period to 31 in the current period. Total injuries also saw a slight increase of 2.1%, from 3,692 to 3,770.

11,660

2.2%was 11,413

Total Crash Events

31

55.0%was 20

Persons Killed

3,770

2.1%was 3,692

Persons Injured

1,141

6.3%was 1,073

Hit-and-Run Crashes

Note: "Persons Killed" (31) counts individual fatalities across all crash events. "Fatal" in the severity table below (30) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 497 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

Crash data for June indicates a slight upward trend compared to the same month last year. Total crashes rose by 2.2%, from 11,413 in June 2023 to 11,660 in June 2024. This was accompanied by a 2.1% increase in injuries and a notable 55% increase in fatalities year-over-year.

1,141

Hit-and-Run Crashes — June 2024

6.3% vs prior (1,073)

The incidence of hit-and-run crashes increased in June 2024 compared to the same month in the previous year. The total count of hit-and-run incidents rose from 1,073 to 1,141. This corresponds to an increase in the hit-and-run rate, which climbed from 9.4% to 9.8% of all crashes.

Vulnerable Road User Casualties

6

Pedestrians Killed

Prior: 2200.0%

2

Cyclists Killed

Prior: 0%

22

Motorists Killed

Prior: 1822.2%

1

Other Killed

Prior: 0%

110

Pedestrians Injured

Prior: 1054.8%

159

Cyclists Injured

Prior: 13022.3%

3,450

Motorists Injured

Prior: 3,4410.3%

51

Other Injured

Prior: 16218.8%

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 temporal patterns of crashes showed some shifts between June 2023 and June 2024. The peak day for crashes moved from Friday (2,139 crashes) in the prior year to Saturday (1,860 crashes) in the current year. The peak hour for collisions remained unchanged at 3 PM for both periods, though the volume of crashes at that hour decreased from 1,012 to 939.

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

Year-over-year data shows an increase in the most severe crash outcomes. The number of fatal crashes rose from 19 in June 2023 to 30 in June 2024, and the corresponding fatal crash rate increased from 0.17% to 0.26%. The count of minor injury crashes also grew from 1,623 to 1,757. Meanwhile, serious injury crashes remained nearly unchanged, with 216 incidents compared to 217 in the prior year.

Severity is per crash event (most severe injury). 30 fatal crash events resulted in 31 persons killed.

Outcome by Severity (Crash Events)

Fatal30fatal crashes0.3%
57.9%prior 19
Serious Injury216serious injury crashes1.9%
-0.5%prior 217
Minor Injury1,757minor injury crashes15.1%
8.3%prior 1,623
Possible Injury849possible injury crashes7.3%
-1.0%prior 858
No Injury8,311no injury crashes71.3%
4.5%prior 7,954

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

The leading contributing factors for crashes remained consistent year-over-year, with 'No improper driving,' 'Inattention,' and 'Failed to yield right of way' as the top three in both periods. However, the count for several factors shifted; crashes attributed to 'Inattention' increased by 5.7% from 1,606 to 1,697. Conversely, incidents involving 'Followed too closely' decreased by 1.1% from 1,140 to 1,127. Notably, crashes where 'Glare' was a factor saw a significant percentage increase in count, rising from 19 to 48 incidents.

Officer-Reported Primary Contributing Cause

No improper driving2,855 (24.5%)7.3%prior 2,661
Inattention1,697 (14.6%)5.7%prior 1,606
Failed to yield right of way1,246 (10.7%)2.6%prior 1,215
Followed too closely1,127 (9.7%)-1.1%prior 1,140
Failure to keep in proper lane or running off road565 (4.8%)9.1%prior 518
Other improper action390 (3.3%)16.1%prior 336
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner380 (3.3%)5.0%prior 362
Disregarded traffic signs, signals, road markings357 (3.1%)13.7%prior 314
Distracted270 (2.3%)-3.2%prior 279
Made an improper turn189 (1.6%)9.2%prior 173

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

Driving conditions reported in crashes differed between the two periods. In June 2024, 90.0% of crashes occurred on dry roads, up from 81.3% in June 2023, while crashes on wet roads decreased from 16.8% to 8.4% of the total. The share of crashes happening in 'Dark - roadway not lighted' conditions increased from 3.6% of all crashes in the prior year to 4.4% in the current year.

Weather

Clear8,836 (76.9%)
28.0%prior 6,902
Clear/Clear709 (6.2%)
1.4%prior 699
Cloudy696 (6.1%)
-52.9%prior 1,479
Rain445 (3.9%)
-47.1%prior 841
Clear/Cloudy193 (1.7%)
-11.9%prior 219
Cloudy/Rain150 (1.3%)
-63.9%prior 415
Clear/Other119 (1.0%)
45.1%prior 82
Clear/Unknown109 (0.9%)
29.8%prior 84
Rain/Cloudy66 (0.6%)
-55.7%prior 149
Cloudy/Cloudy36 (0.3%)
-59.6%prior 89

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

Lighting

Daylight9,222 (79.9%)
2.2%prior 9,026
Dark - lighted roadway1,378 (11.9%)
-3.1%prior 1,422
Dark - roadway not lighted510 (4.4%)
23.5%prior 413
Dusk241 (2.1%)
5.7%prior 228
Dawn117 (1.0%)
-24.0%prior 154
Dark - unknown roadway lighting63 (0.5%)
26.0%prior 50
Other10 (0.1%)
-33.3%prior 15

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

Road Surface

Dry10,498 (91.2%)
13.2%prior 9,277
Wet976 (8.5%)
-49.2%prior 1,920
Sand, mud, dirt, oil, gravel18 (0.2%)
-18.2%prior 22
Water (standing, moving)10 (0.1%)
42.9%prior 7
Other7 (0.1%)
-30.0%prior 10
Snow1 (0.0%)
Ice1 (0.0%)

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

Vehicles & Demographics

The composition of vehicles and persons involved in crashes remained largely stable year-over-year. The top five vehicle makes involved in collisions were identical in both June 2023 and June 2024, led by Toyota, Honda, and Ford. Analysis of persons involved shows a consistent age distribution, although the 16-20 age group's representation increased slightly from 10.2% to 10.9% of all persons involved.

Top Vehicle Makes (21,642 vehicles)

1
TOYOTA3,535 (16.3%)
2.8%prior 3,438
2
HONDA2,740 (12.7%)
0.1%prior 2,737
3
FORD2,302 (10.6%)
4.9%prior 2,194
4
CHEVROLET1,510 (7%)
-0.5%prior 1,518
5
NISSAN1,291 (6%)
-1.8%prior 1,314
6
JEEP940 (4.3%)
-10.9%prior 1,055
7
SUBARU888 (4.1%)
3.6%prior 857
8
HYUNDAI844 (3.9%)
4.5%prior 808
9
KIA520 (2.4%)
11.8%prior 465
10
GMC497 (2.3%)
2.3%prior 486

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

2,743 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (23,885 persons with recorded sex)

Male13,632 (57.1%)
3.0%prior 13,233
Female10,247 (42.9%)
-0.2%prior 10,269
X / Unspecified6 (0.0%)
-57.1%prior 14

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

Crash distribution across speed zones saw minor changes, with an increase in incidents in 25 mph zones (from 2,215 to 2,433) and 30 mph zones (from 2,973 to 3,084). Fatal crashes became more frequent in several zones year-over-year. Notably, the number of fatal crashes in 25 mph zones rose from one to five, and fatal crashes in 40 mph zones increased from two to six.

Fatal crashes by zone: 25 mph: 5 of 2,433 (0.206%) · 30 mph: 4 of 3,084 (0.13%) · 35 mph: 6 of 1,528 (0.393%) · 40 mph: 6 of 844 (0.711%) · 45 mph: 2 of 405 (0.494%) · 50 mph: 2 of 280 (0.714%) · 55 mph: 3 of 614 (0.489%) · 60 mph: 1 of 71 (1.408%) · 65 mph: 1 of 815 (0.123%)

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: massachusetts, MA
  • Total crash records analyzed: 11,660
  • Total persons involved: 27,112
  • Total vehicles involved: 21,642

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). "massachusetts, 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/statewide/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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Massachusetts (Statewide) Crash Report — June 2024 | ThatCarHitMe.com