Monthly Traffic Safety Analysis

199 CRASHES IN
SPRINGFIELD, MA
FEBRUARY 2025

All metrics benchmarked againstFebruary 2024

Total crashes in February 2025 were 199, a decrease of 33.44% compared to the 299 crashes reported in February 2024. Despite the overall reduction in crashes, fatalities increased significantly from 0 in the prior year to 2 in the current period, marking a critical shift in crash outcomes.

199

▼ -33.4%was 299

Total Crash Events

2

Persons Killed

46

▼ -68.1%was 144

Persons Injured

44

▲ 46.7%was 30

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 17 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in February 2025 showed a notable downward trend, decreasing by 100 crashes or 33.44% compared to February 2024. This reduction is also reflected in a 68.06% decrease in total injuries, falling from 144 to 46.

44

Hit-and-Run Crashes — February 2025

▲ 46.7% vs prior (30)

Hit-and-run crashes increased from 30 in February 2024 to 44 in February 2025. This resulted in an increase in the hit-and-run rate from 10% to 22.1% year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 0→0.0%

2

Motorists Killed

Prior: 0→%

2

Pedestrians Injured

Prior: 6↓-66.7%

44

Motorists Injured

Prior: 133↓-66.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. In February 2025, Friday recorded the highest number of crashes with 38, while in February 2024, Thursday was the peak day with 76 crashes. The peak hour also changed, with 8 AM being the busiest hour in February 2025 with 18 crashes, contrasting with 4 PM in February 2024 which saw 27 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities increased from 0 in February 2024 to 2 in February 2025, resulting in a fatal crash rate of 1.01% in the current period compared to 0% previously. Total injuries decreased from 144 to 46, with crashes involving minor injuries falling from 46 to 23 and possible injuries from 42 to 6.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1%
Minor Injury23minor injury crashes11.6%
↓-50.0%prior 46
Possible Injury6possible injury crashes3%
↓-85.7%prior 42
No Injury151no injury crashes75.9%
↓-20.9%prior 191

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' crashes decreased from 86 to 28, a reduction of 58 crashes, while 'Failed to yield right of way' crashes fell from 65 to 19, a decrease of 46 crashes. Conversely, crashes attributed to 'Driving too fast for conditions' saw a significant increase from 4 to 28, an increase of 24 crashes, and 'No improper driving' crashes slightly decreased from 39 to 35.

Officer-Reported Primary Contributing Cause

No improper driving35 (17.6%)↓-10.3%prior 39
Inattention28 (14.1%)↓-67.4%prior 86
Driving too fast for conditions28 (14.1%)
Failed to yield right of way19 (9.5%)↓-70.8%prior 65
Failure to keep in proper lane or running off road19 (9.5%)↑26.7%prior 15
Followed too closely17 (8.5%)↑112.5%prior 8
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway10 (5%)↑42.9%prior 7
Disregarded traffic signs, signals, road markings9 (4.5%)↓-10.0%prior 10
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner7 (3.5%)↑16.7%prior 6
Made an improper turn5 (2.5%)↓-64.3%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 245 to 120, while crashes during 'Snow' conditions increased from 1 to 19. Similarly, crashes on 'Dry' road surfaces decreased from 258 to 99, but crashes on 'Snow' surfaces rose from 1 to 39, and on 'Ice' surfaces from 1 to 28.

Weather

Clear120 (60.3%)
↓-51.0%prior 245
Snow19 (9.5%)
Clear/Clear13 (6.5%)
Cloudy12 (6.0%)
↓-29.4%prior 17
Snow/Sleet, hail (freezing rain or drizzle)8 (4.0%)
Rain6 (3.0%)
↓-68.4%prior 19
Cloudy/Rain4 (2.0%)
Snow/Snow3 (1.5%)
Cloudy/Cloudy3 (1.5%)
Clear/Unknown2 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Weather condition at time of crash

Lighting

Daylight114 (57.3%)
↓-34.5%prior 174
Dark - lighted roadway65 (32.7%)
↓-34.3%prior 99
Dusk10 (5.0%)
↓-28.6%prior 14
Dark - roadway not lighted4 (2.0%)
↓-33.3%prior 6
Dark - unknown roadway lighting3 (1.5%)
Dawn3 (1.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Lighting condition field

Road Surface

Dry99 (49.7%)
↓-61.6%prior 258
Snow39 (19.6%)
Wet29 (14.6%)
↓-25.6%prior 39
Ice28 (14.1%)
Slush4 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 557 to 377. HONDA, which was the top make involved in crashes in February 2024 with 107 vehicles, saw its count decrease to 51, while TOYOTA became the top make in February 2025 with 57 vehicles, down from 67. The number of persons aged 35-44 involved in crashes decreased from 118 to 61, and those aged 65+ decreased from 60 to 25.

Top Vehicle Makes (377 vehicles)

1
TOYOTA57 (15.1%)
↓-14.9%prior 67
2
HONDA51 (13.5%)
↓-52.3%prior 107
3
NISSAN30 (8%)
↓-25.0%prior 40
4
FORD28 (7.4%)
↓-47.2%prior 53
5
HYUNDAI27 (7.2%)
↑8.0%prior 25
6
CHEVROLET18 (4.8%)
↓-60.0%prior 45
7
BMW11 (2.9%)
↑37.5%prior 8
8
INFI9 (2.4%)
→0.0%prior 9
9
SUBARU9 (2.4%)
↑12.5%prior 8
10
DODGE9 (2.4%)
↓-40.0%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Vehicle unit records

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

Sex Distribution (359 persons with recorded sex)

Male196 (54.6%)
↓-45.1%prior 357
Female163 (45.4%)
↓-45.3%prior 298

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph speed zones decreased from 110 to 48, with 2 fatal crashes occurring in this zone in February 2025 compared to none in February 2024. Crashes in 25 mph zones decreased from 82 to 57, while crashes in 55 mph zones increased from 18 to 33.

Fatal crashes by zone: 30 mph: 2 of 48 (4.167%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-02-01 to 2025-02-28 · 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: 2025-02-01 through 2025-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-02-01 through 2025-02-28 (28 days)
  • Geographic scope: SPRINGFIELD, MA
  • Total crash records analyzed: 199
  • Total persons involved: 460
  • Total vehicles involved: 377

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). "SPRINGFIELD, MA Crash Intelligence Report: February 2025." Published June 21, 2026. Reporting period: 2025-02-01 to 2025-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/february-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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Springfield, MA Crash Report — February 2025 | ThatCarHitMe.com