Monthly Traffic Safety Analysis

60 CRASHES IN
SHREWSBURY, MA
FEBRUARY 2023

All metrics benchmarked againstFebruary 2022

In February 2023, Shrewsbury recorded 60 crashes, marking a 14.3% decrease from the 70 crashes reported in February 2022. A notable shift observed was the 100% increase in hit-and-run crashes, which rose from 4 incidents in the prior year to 8 in the current period.

60

-14.3%was 70

Total Crash Events

0

Persons Killed

12

-20.0%was 15

Persons Injured

8

100.0%was 4

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in total crashes, with a reduction of 10 incidents year-over-year. This represents a 14.3% decline in total crashes from February 2022 to February 2023.

8

Hit-and-Run Crashes — February 2023

100.0% vs prior (4)

Hit-and-run crashes increased by 100% year-over-year, rising from 4 incidents in February 2022 to 8 incidents in February 2023. This resulted in the hit-and-run crash rate increasing from 5.7% to 13.3% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

11

Motorists Injured

Prior: 15-26.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · 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 16 incidents in February 2022 to Monday with 14 incidents in February 2023. The peak crash hour also changed, moving from 2 PM with 8 incidents in the prior period to 3 PM, also with 8 incidents, in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either February 2023 or February 2022. Total injuries decreased by 20%, from 15 in the prior period to 12 in the current period. The current period saw 2 serious injuries (3.3% of crashes), a severity category not reported in the prior year's data.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes3.3%
Minor Injury6minor injury crashes10%
-25.0%prior 8
Possible Injury1possible injury crashes1.7%
-75.0%prior 4
No Injury51no injury crashes85%
-7.3%prior 55

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Driving too fast for conditions' saw a significant decrease, falling by 80% from 10 incidents in February 2022 to 2 in February 2023. Similarly, 'Failed to yield right of way' crashes decreased by 75%, from 8 to 2 incidents. Conversely, 'Disregarded traffic signs, signals, road markings' crashes increased by 200%, rising from 1 to 3 incidents year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving16 (26.7%)0.0%prior 16
Followed too closely6 (10%)20.0%prior 5
Inattention4 (6.7%)-33.3%prior 6
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (5%)
Disregarded traffic signs, signals, road markings3 (5%)
Failed to yield right of way2 (3.3%)-75.0%prior 8
Physical impairment2 (3.3%)
Driving too fast for conditions2 (3.3%)-80.0%prior 10
Fatigued/asleep2 (3.3%)
Distracted1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 38 (29 'Clear' + 9 'Clear/Clear') in February 2022 to 47 (45 'Clear' + 2 'Clear/Clear') in February 2023. Crashes on wet road surfaces decreased significantly from 13 incidents to 2 incidents year-over-year. Incidents occurring in daylight decreased from 49 to 33, while those in dark but lighted roadways increased from 15 to 19.

Weather

Clear45 (76.3%)
55.2%prior 29
Cloudy3 (5.1%)
-75.0%prior 12
Snow/Sleet, hail (freezing rain or drizzle)3 (5.1%)
Snow2 (3.4%)
Clear/Clear2 (3.4%)
-77.8%prior 9
Cloudy/Snow1 (1.7%)
Cloudy/Rain1 (1.7%)
Rain1 (1.7%)
Cloudy/Severe crosswinds1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Weather condition at time of crash

Lighting

Daylight33 (55.9%)
-32.7%prior 49
Dark - lighted roadway19 (32.2%)
26.7%prior 15
Dusk3 (5.1%)
Dawn2 (3.4%)
Dark - unknown roadway lighting1 (1.7%)
Dark - roadway not lighted1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Lighting condition field

Road Surface

Dry50 (83.3%)
22.0%prior 41
Ice4 (6.7%)
-55.6%prior 9
Snow3 (5.0%)
-40.0%prior 5
Wet2 (3.3%)
-84.6%prior 13
Slush1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 121 in February 2022 to 109 in February 2023. Toyota remained the top vehicle make involved in crashes with 22 vehicles in both periods. Honda-involved crashes increased from 15 to 18, while Nissan-involved crashes decreased from 11 to 4.

Top Vehicle Makes (109 vehicles)

1
TOYOTA22 (20.2%)
0.0%prior 22
2
HONDA18 (16.5%)
20.0%prior 15
3
CHEVROLET8 (7.3%)
-27.3%prior 11
4
FORD8 (7.3%)
-20.0%prior 10
5
SUBARU7 (6.4%)
-12.5%prior 8
6
HYUNDAI5 (4.6%)
7
JEEP5 (4.6%)
8
VOLKSWAGEN4 (3.7%)
9
MERCEDES-BENZ4 (3.7%)
10
NISSAN4 (3.7%)
-63.6%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Vehicle unit records

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

Sex Distribution (131 persons with recorded sex)

Male85 (64.9%)
4.9%prior 81
Female46 (35.1%)
-23.3%prior 60

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · Person-level records linked to crash events

Speed Limit Zones

The total number of crashes with a recorded speed limit decreased from 43 in February 2022 to 31 in February 2023. Crashes in 65 mph zones decreased from 7 to 3 incidents, and in 45 mph zones from 6 to 1 incident. Crashes in 40 mph zones increased from 7 to 9 incidents year-over-year, while no fatalities were reported across any speed zone in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-02-01 to 2023-02-28 · 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: 2023-02-01 through 2023-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-02-01 through 2023-02-28 (28 days)
  • Geographic scope: SHREWSBURY, MA
  • Total crash records analyzed: 60
  • Total persons involved: 138
  • Total vehicles involved: 109

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: February 2023." Published June 21, 2026. Reporting period: 2023-02-01 to 2023-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/shrewsbury/february-2023-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 — February 2023 | ThatCarHitMe.com