Monthly Traffic Safety Analysis

51 CRASHES IN
SHREWSBURY, MA
JUNE 2024

All metrics benchmarked againstJune 2023

Total crashes in Shrewsbury decreased by 16.4% year-over-year, from 61 in June 2023 to 51 in June 2024. While overall crashes and injuries declined, hit-and-run incidents increased significantly during this period. No fatalities were reported in either month.

51

▼ -16.4%was 61

Total Crash Events

0

Persons Killed

13

▼ -35.0%was 20

Persons Injured

9

▲ 80.0%was 5

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

The overall trend indicates a decrease in crash activity, with total crashes falling from 61 in June 2023 to 51 in June 2024, representing a 16.4% reduction. Total injuries also decreased by 35%, from 20 in June 2023 to 13 in June 2024.

9

Hit-and-Run Crashes — June 2024

▲ 80.0% vs prior (5)

Hit-and-run crashes increased from 5 in June 2023 to 9 in June 2024. The hit-and-run rate rose from 8.2% of total crashes in June 2023 to 17.6% in June 2024, indicating an upward trend in these incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

0

Motorists Killed

Prior: 0→0.0%

1

Pedestrians Injured

Prior: 0→%

12

Motorists Injured

Prior: 20↓-40.0%

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, with 14 incidents in June 2023, to Wednesday and Monday, both recording 10 incidents in June 2024. The peak hour for crashes moved from 12 PM (8 crashes) in June 2023 to 4 PM (9 crashes) 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

Both June 2023 and June 2024 reported zero total fatalities. Total injuries decreased from 20 in the prior period to 13 in the current period. The proportion of crashes resulting in no injury increased from 72.1% in June 2023 to 82.4% in June 2024.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes13.7%
↓-22.2%prior 9
Possible Injury1possible injury crashes2%
↓-75.0%prior 4
No Injury42no injury crashes82.4%
↓-4.5%prior 44

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 "Failed to yield right of way" decreased from 10 in June 2023 to 2 in June 2024, an 80% reduction in count. Conversely, "Failure to keep in proper lane or running off road" incidents increased from 2 to 6 crashes, a 200% increase in count. "No improper driving" remained the most frequent contributing factor, decreasing slightly from 16 to 15 crashes.

Officer-Reported Primary Contributing Cause

No improper driving15 (29.4%)↓-6.3%prior 16
Failure to keep in proper lane or running off road6 (11.8%)
Followed too closely6 (11.8%)→0.0%prior 6
Inattention6 (11.8%)↓-14.3%prior 7
Disregarded traffic signs, signals, road markings3 (5.9%)
Failed to yield right of way2 (3.9%)↓-80.0%prior 10
Operating defective equipment1 (2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2%)
Other improper action1 (2%)
Emotional1 (2%)

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 decreased from 49 in June 2023 to 45 in June 2024. Crashes in cloudy conditions also saw a decrease, from 10 in June 2023 to 3 in June 2024. The number of crashes on dry road surfaces decreased from 55 to 48 year-over-year.

Weather

Clear38 (74.5%)
↓-2.6%prior 39
Clear/Clear7 (13.7%)
↓-30.0%prior 10
Cloudy2 (3.9%)
↓-71.4%prior 7
Rain2 (3.9%)
Clear/Cloudy1 (2.0%)
Fog, smog, smoke1 (2.0%)

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

Lighting

Daylight42 (82.4%)
↓-6.7%prior 45
Dark - lighted roadway7 (13.7%)
↓-22.2%prior 9
Dark - roadway not lighted1 (2.0%)
Dusk1 (2.0%)

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

Road Surface

Dry48 (94.1%)
↓-12.7%prior 55
Wet3 (5.9%)
↓-40.0%prior 5

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 from 111 in June 2023 to 89 in June 2024. While Toyota remained a top involved make, Honda involvement decreased from 17 to 7 vehicles, and Ford involvement increased from 5 to 10 vehicles. The number of persons aged 65 and older involved in crashes decreased from 21 in June 2023 to 10 in June 2024.

Top Vehicle Makes (89 vehicles)

1
TOYOTA23 (25.8%)
↓-4.2%prior 24
2
FORD10 (11.2%)
↑100.0%prior 5
3
HONDA7 (7.9%)
↓-58.8%prior 17
4
HYUNDAI5 (5.6%)
5
NISSAN5 (5.6%)
↓-50.0%prior 10
6
DODGE4 (4.5%)
7
CHEVROLET4 (4.5%)
8
JEEP4 (4.5%)
↓-20.0%prior 5
9
VOLKSWAGEN3 (3.4%)
10
MAZDA3 (3.4%)

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

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

Sex Distribution (100 persons with recorded sex)

Male58 (58.0%)
↓-9.4%prior 64
Female42 (42.0%)
↓-43.2%prior 74

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 40 mph speed zones saw a notable decrease from 11 in June 2023 to 3 in June 2024. In contrast, crashes in 65 mph speed zones increased from 4 in June 2023 to 7 in June 2024. No fatalities were recorded in any speed zone during either period.

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: SHREWSBURY, MA
  • Total crash records analyzed: 51
  • Total persons involved: 108
  • Total vehicles involved: 89

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: 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/shrewsbury/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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Shrewsbury, MA Crash Report — June 2024 | ThatCarHitMe.com