Monthly Traffic Safety Analysis

9,808 CRASHES IN
MASSACHUSETTS, MA
APRIL 2025

All metrics benchmarked againstApril 2024

In April 2025, there were 9,808 total crashes, a 4.4% decrease from the 10,260 crashes recorded in April 2024. Despite the overall decline in collisions, the number of reported injuries increased by 5.0% from 3,007 to 3,156, and fatalities rose from 21 to 24. A significant year-over-year change was observed in bicycle-involved crashes, which increased by 89.2% from 65 to 123 incidents.

9,808

-4.4%was 10,260

Total Crash Events

24

14.3%was 21

Persons Killed

3,156

5.0%was 3,007

Persons Injured

914

-6.1%was 973

Hit-and-Run Crashes

Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (24) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 390 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for April shows a downward trend in the total number of collisions compared to the previous year, with a 4.4% decrease from 10,260 to 9,808. Conversely, the severity of these incidents appears to have increased, as total injuries rose by 5.0% (from 3,007 to 3,156) and total fatalities rose by 14.3% (from 21 to 24).

914

Hit-and-Run Crashes — April 2025

-6.1% vs prior (973)

Hit-and-run incidents showed a downward trend in both absolute numbers and as a proportion of total crashes. The number of hit-and-run crashes decreased from 973 in April 2024 to 914 in April 2025. Correspondingly, the hit-and-run rate declined slightly from 9.5% to 9.3% of all crashes.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 3-33.3%

0

Cyclists Killed

Prior: 00.0%

22

Motorists Killed

Prior: 1729.4%

0

Other Killed

Prior: 1-100.0%

103

Pedestrians Injured

Prior: 9310.8%

107

Cyclists Injured

Prior: 5498.1%

2,915

Motorists Injured

Prior: 2,8442.5%

31

Other Injured

Prior: 1693.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 consistency and some shifts year-over-year. The peak hour for crashes remained unchanged at 3 PM in both April 2024 (808 crashes) and April 2025 (812 crashes). However, the peak day for collisions shifted from Thursday (1,777 crashes) in 2024 to Wednesday (1,720 crashes) in 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity of crashes increased from April 2024 to April 2025. The fatal crash rate rose from 0.20% to 0.24%, corresponding to an increase from 21 to 24 fatal crashes. The proportion of crashes resulting in serious injuries grew from a 1.5% share (149 crashes) to a 1.9% share (184 crashes), while the share of no-injury crashes declined from 72.9% to 72.0%.

Outcome by Severity (Crash Events)

Fatal24fatal crashes0.2%
14.3%prior 21
Serious Injury184serious injury crashes1.9%
23.5%prior 149
Minor Injury1,484minor injury crashes15.1%
8.5%prior 1,368
Possible Injury666possible injury crashes6.8%
-6.9%prior 715
No Injury7,060no injury crashes72%
-5.6%prior 7,480

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors remained consistent year-over-year, with 'No improper driving,' 'Inattention,' and 'Failed to yield right of way' as the top three reported factors in both periods. The count of crashes attributed to 'Followed too closely' decreased by 10.6%, from 1,025 to 916. Notably, crashes linked to speed-related behaviors saw a significant reduction in count; incidents involving 'Driving too fast for conditions' dropped by 42.2% from 346 to 200.

Officer-Reported Primary Contributing Cause

No improper driving2,283 (23.3%)-4.2%prior 2,383
Inattention1,395 (14.2%)-0.1%prior 1,397
Failed to yield right of way1,108 (11.3%)2.7%prior 1,079
Followed too closely916 (9.3%)-10.6%prior 1,025
Failure to keep in proper lane or running off road519 (5.3%)7.7%prior 482
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner311 (3.2%)-1.0%prior 314
Other improper action289 (2.9%)-16.7%prior 347
Disregarded traffic signs, signals, road markings271 (2.8%)-13.1%prior 312
Distracted210 (2.1%)-15.7%prior 249
Driving too fast for conditions200 (2%)-42.2%prior 346

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions were broadly similar between April 2024 and April 2025, with the majority of incidents in both periods occurring in daylight and on dry roads. In April 2025, 75.5% of crashes happened during daylight, a slight increase from 74.1% in the prior year. Crashes on non-dry road surfaces accounted for 21.6% of the total in 2025, down slightly from 23.2% in 2024.

Weather

Clear5,459 (56.4%)
-10.1%prior 6,069
Clear/Clear1,228 (12.7%)
138.4%prior 515
Rain788 (8.1%)
-4.0%prior 821
Cloudy755 (7.8%)
-29.2%prior 1,067
Cloudy/Rain314 (3.2%)
-8.2%prior 342
Rain/Cloudy224 (2.3%)
79.2%prior 125
Clear/Cloudy149 (1.5%)
0.0%prior 149
Rain/Rain136 (1.4%)
183.3%prior 48
Cloudy/Cloudy113 (1.2%)
73.8%prior 65
Clear/Unknown81 (0.8%)
1.3%prior 80

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight7,402 (76.4%)
-2.7%prior 7,608
Dark - lighted roadway1,371 (14.2%)
-12.3%prior 1,564
Dark - roadway not lighted401 (4.1%)
-18.8%prior 494
Dusk230 (2.4%)
-0.4%prior 231
Dawn201 (2.1%)
15.5%prior 174
Dark - unknown roadway lighting66 (0.7%)
6.5%prior 62
Other15 (0.2%)
7.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry7,461 (77.6%)
-2.8%prior 7,679
Wet1,936 (20.1%)
2.3%prior 1,892
Snow142 (1.5%)
-24.1%prior 187
Ice23 (0.2%)
-83.5%prior 139
Slush23 (0.2%)
-85.5%prior 159
Sand, mud, dirt, oil, gravel14 (0.1%)
-6.7%prior 15
Other7 (0.1%)
Water (standing, moving)6 (0.1%)
-25.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

The demographics of vehicles and persons involved in crashes showed little change year-over-year. Toyota, Honda, and Ford remained the top three vehicle makes involved in collisions in both April 2024 and April 2025. The age distribution of all persons involved was also stable, with the 26-34 age group constituting the largest single cohort in both periods, accounting for 16.9% of persons in 2024 and 15.9% in 2025.

Top Vehicle Makes (18,331 vehicles)

1
TOYOTA3,131 (17.1%)
-1.5%prior 3,179
2
HONDA2,386 (13%)
-4.1%prior 2,489
3
FORD1,831 (10%)
-9.2%prior 2,016
4
CHEVROLET1,266 (6.9%)
2.8%prior 1,231
5
NISSAN1,093 (6%)
-6.9%prior 1,174
6
JEEP819 (4.5%)
-9.4%prior 904
7
SUBARU749 (4.1%)
-1.4%prior 760
8
HYUNDAI716 (3.9%)
-10.4%prior 799
9
KIA409 (2.2%)
-9.7%prior 453
10
VOLKSWAGEN382 (2.1%)
3.5%prior 369

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

2,434 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (20,116 persons with recorded sex)

Male11,466 (57.0%)
-3.4%prior 11,868
Female8,642 (43.0%)
-2.4%prior 8,851
X / Unspecified8 (0.0%)
33.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones shifted between the two periods. Crashes in 30 mph zones decreased from 2,841 to 2,338, while crashes in 25 mph zones increased from 2,046 to 2,523. A notable change occurred in the 65 mph speed zone, where the number of crashes decreased from 746 to 557, but the number of fatalities recorded in this zone increased from 1 to 5.

Fatal crashes by zone: 25 mph: 3 of 2,523 (0.119%) · 30 mph: 4 of 2,338 (0.171%) · 35 mph: 4 of 1,185 (0.338%) · 40 mph: 3 of 681 (0.441%) · 50 mph: 1 of 199 (0.503%) · 55 mph: 1 of 433 (0.231%) · 65 mph: 5 of 557 (0.898%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: massachusetts, MA
  • Total crash records analyzed: 9,808
  • Total persons involved: 22,734
  • Total vehicles involved: 18,331

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: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/april-2025-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 — April 2025 | ThatCarHitMe.com