Monthly Traffic Safety Analysis

70 CRASHES IN
SHREWSBURY, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, SHREWSBURY, MA experienced 70 total crashes, a 4.48% increase from the 67 crashes reported in May 2024. The most notable year-over-year shift was the increase in fatalities, rising from 0 in May 2024 to 1 in May 2025.

70

4.5%was 67

Total Crash Events

1

Persons Killed

18

-5.3%was 19

Persons Injured

6

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in SHREWSBURY, MA showed a slight upward trend, with total crashes increasing by 4.48% from 67 to 70 year-over-year. Despite this, total injuries decreased by 5.26%, from 19 to 18. Fatalities, however, increased from 0 to 1 during the same period.

6

Hit-and-Run Crashes — May 2025

8.6% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Cyclists Injured

Prior: 0%

17

Motorists Injured

Prior: 19-10.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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 Monday in May 2024, which had 13 crashes, to Thursday in May 2025, which recorded 20 crashes. The peak hour also changed, moving from 5 PM with 9 crashes in May 2024 to 3 PM with 8 crashes in May 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 (0% of total crashes) in May 2024 to 1 (1.4% of total crashes) in May 2025. Serious injury crashes (severity A) also increased from 0 to 2, representing 2.9% of total crashes in May 2025. Conversely, minor injury crashes (severity B) decreased from 9 (13.4% of total crashes) to 7 (10% of total crashes).

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.4%
Serious Injury2serious injury crashes2.9%
Minor Injury7minor injury crashes10%
-22.2%prior 9
Possible Injury5possible injury crashes7.1%
25.0%prior 4
No Injury52no injury crashes74.3%
-1.9%prior 53

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' increased by 3, rising from 4 to 7, a 75% change in count. 'Disregarded traffic signs, signals, road markings' crashes also saw a 100% increase in count, from 2 to 4. Conversely, 'Failed to yield right of way' crashes decreased by 2 (from 11 to 9), an 18.2% decline, and 'Inattention' crashes decreased by 1 (from 10 to 9), a 10% decline.

Officer-Reported Primary Contributing Cause

No improper driving13 (18.6%)0.0%prior 13
Inattention9 (12.9%)-10.0%prior 10
Failed to yield right of way9 (12.9%)-18.2%prior 11
Followed too closely7 (10%)
Disregarded traffic signs, signals, road markings4 (5.7%)
Failure to keep in proper lane or running off road3 (4.3%)
Made an improper turn3 (4.3%)
Other improper action2 (2.9%)
Exceeded authorized speed limit1 (1.4%)
Driving too fast for conditions1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased slightly from 54 in May 2024 to 53 in May 2025. Crashes during rain conditions increased from 10 to 12, while crashes on wet road surfaces increased from 11 to 13. Crashes in dark conditions (lighted or unlighted) collectively increased from 8 to 11 year-over-year.

Weather

Clear44 (62.9%)
-8.3%prior 48
Clear/Clear9 (12.9%)
50.0%prior 6
Rain8 (11.4%)
33.3%prior 6
Cloudy/Rain4 (5.7%)
Cloudy3 (4.3%)
Cloudy/Cloudy1 (1.4%)
Clear/Cloudy1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight57 (82.6%)
-1.7%prior 58
Dark - lighted roadway6 (8.7%)
0.0%prior 6
Dark - roadway not lighted5 (7.2%)
Dusk1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry57 (81.4%)
1.8%prior 56
Wet13 (18.6%)
18.2%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 14, from 128 in May 2024 to 142 in May 2025, an increase of 10.9%. The 45-54 age group saw a 100% increase in persons involved, rising from 15 to 30, while the 26-34 and 35-44 age groups both experienced a decrease of 7 persons involved. Toyota remained the top vehicle make involved, though its count decreased from 28 to 21, while Ford increased from 10 to 13.

Top Vehicle Makes (142 vehicles)

1
TOYOTA21 (14.8%)
-25.0%prior 28
2
HONDA14 (9.9%)
-17.6%prior 17
3
FORD13 (9.2%)
30.0%prior 10
4
CHEVROLET9 (6.3%)
-18.2%prior 11
5
NISSAN8 (5.6%)
60.0%prior 5
6
SUBARU8 (5.6%)
0.0%prior 8
7
LEXUS7 (4.9%)
8
KIA6 (4.2%)
9
GMC6 (4.2%)
20.0%prior 5
10
BMW5 (3.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (152 persons with recorded sex)

Male81 (53.3%)
11.0%prior 73
Female71 (46.7%)
-9.0%prior 78

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 45 mph speed zone increased from 3 to 5, and this zone accounted for the single fatal crash in May 2025, compared to zero in May 2024. Crashes in the 15 mph, 25 mph, and 35 mph zones each increased by 2 crashes. Conversely, crashes in the 40 mph zone decreased from 12 to 10, and in the 65 mph zone from 6 to 4.

Fatal crashes by zone: 45 mph: 1 of 5 (20%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: SHREWSBURY, MA
  • Total crash records analyzed: 70
  • Total persons involved: 167
  • Total vehicles involved: 142

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). "SHREWSBURY, MA Crash Intelligence Report: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/shrewsbury/may-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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Shrewsbury, MA Crash Report — May 2025 | ThatCarHitMe.com