Monthly Traffic Safety Analysis

39 CRASHES IN
ACTON, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, Acton experienced 39 crashes, marking a significant 69.6% increase compared to the 23 crashes recorded in June 2023. The number of crashes resulting in injuries rose from 9 to 10 year-over-year. A notable shift was the 400% increase in hit-and-run crashes, which climbed from 1 in June 2023 to 5 in June 2024.

39

69.6%was 23

Total Crash Events

0

Persons Killed

10

11.1%was 9

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. 1 crash with unreported severity is 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

Overall crash activity in Acton saw a substantial increase year-over-year, with total crashes rising by 69.6% from 23 in June 2023 to 39 in June 2024. Despite this rise in total crashes, the number of fatalities remained at zero in both periods. Injuries increased slightly from 9 to 10 persons.

5

Hit-and-Run Crashes — June 2024

400.0% vs prior (1)

Hit-and-run crashes increased substantially from 1 in June 2023 to 5 in June 2024, representing a 400% increase in count. Consequently, the hit-and-run rate rose from 4.3% of all crashes in June 2023 to 12.8% in June 2024. This indicates an upward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

9

Motorists Injured

Prior: 90.0%

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 remained Thursday in both periods, with 11 crashes in June 2024 compared to 5 in June 2023. The peak hour for crashes shifted from 6 p.m. in June 2023, which saw 3 crashes, to 2 p.m. in June 2024, which recorded 5 crashes. Crashes on Monday increased from 4 to 7, and on Tuesday from 0 to 4.

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

There were no fatal crashes or fatalities reported in either June 2023 or June 2024. The total number of injured persons increased from 9 in June 2023 to 10 in June 2024. While June 2023 recorded 1 serious injury, June 2024 reported no serious injuries, but minor injuries increased from 3 to 8.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes20.5%
166.7%prior 3
Possible Injury1possible injury crashes2.6%
No Injury29no injury crashes74.4%
52.6%prior 19

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

No improper driving remained the most frequently cited factor, increasing by 3 crashes from 9 in June 2023 to 12 in June 2024. Inattention saw a significant rise, more than doubling from 3 crashes to 7 crashes, a 133.3% increase. Crashes related to Followed too closely also increased from 1 to 3, representing a 200% rise.

Officer-Reported Primary Contributing Cause

No improper driving12 (30.8%)33.3%prior 9
Inattention7 (17.9%)
Failed to yield right of way6 (15.4%)0.0%prior 6
Followed too closely3 (7.7%)
Failure to keep in proper lane or running off road1 (2.6%)
Driving too fast for conditions1 (2.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.6%)
Other improper action1 (2.6%)
Distracted1 (2.6%)

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 from 17 in June 2023 to 30 in June 2024, and those in rainy conditions increased from 1 to 3. The majority of crashes in both periods occurred during daylight, rising from 18 to 33 year-over-year. Crashes on dry road surfaces increased from 19 to 35, while crashes on wet surfaces remained consistent at 4 in both periods.

Weather

Clear30 (76.9%)
76.5%prior 17
Rain3 (7.7%)
Cloudy2 (5.1%)
Cloudy/Rain1 (2.6%)
Clear/Unknown1 (2.6%)
Clear/Cloudy1 (2.6%)
Clear/Other1 (2.6%)

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

Lighting

Daylight33 (84.6%)
83.3%prior 18
Dark - roadway not lighted4 (10.3%)
Dark - lighted roadway1 (2.6%)
Dusk1 (2.6%)

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

Road Surface

Dry35 (89.7%)
84.2%prior 19
Wet4 (10.3%)

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

Vehicles & Demographics

Top Vehicle Makes (67 vehicles)

1
TOYOTA15 (22.4%)
25.0%prior 12
2
HONDA9 (13.4%)
28.6%prior 7
3
CHEVROLET6 (9%)
4
SUBARU5 (7.5%)
5
JEEP3 (4.5%)
-40.0%prior 5
6
FORD3 (4.5%)
7
AUDI2 (3%)
8
ACURA2 (3%)
9
KIA2 (3%)
10
LEXUS2 (3%)

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

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

Sex Distribution (69 persons with recorded sex)

Male44 (63.8%)
12.8%prior 39
Female25 (36.2%)
25.0%prior 20

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 occurring in 30 mph zones saw the largest increase, rising from 3 in June 2023 to 10 in June 2024. Crashes in 35 mph zones also increased significantly, from 3 to 8. While crashes in 40 mph zones decreased from 4 to 3, crashes in 25 mph, 45 mph, and 55 mph zones each increased by 1 crash year-over-year.

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: ACTON, MA
  • Total crash records analyzed: 39
  • Total persons involved: 77
  • Total vehicles involved: 67

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). "ACTON, 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/acton/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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Acton, MA Crash Report — June 2024 | ThatCarHitMe.com