Monthly Traffic Safety Analysis

193 CRASHES IN
SPRINGFIELD, MA
SEPTEMBER 2024

All metrics benchmarked againstSeptember 2023

Total crashes in Springfield, MA decreased significantly from 363 in September 2023 to 193 in September 2024, marking a 46.8% reduction. Fatalities decreased by 25%, from 4 to 3, while total injuries saw a substantial 67.0% decrease, falling from 233 to 77. The most notable year-over-year shift is the significant reduction in overall crash incidents and associated injuries.

193

-46.8%was 363

Total Crash Events

3

-25.0%was 4

Persons Killed

77

-67.0%was 233

Persons Injured

44

7.3%was 41

Hit-and-Run Crashes

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 11 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for September 2024 indicates a notable downward trend compared to September 2023. Total crashes decreased by 46.8%, from 363 to 193. Fatalities also saw a 25% reduction, from 4 to 3, alongside a 67.0% decrease in total injuries, from 233 to 77.

44

Hit-and-Run Crashes — September 2024

7.3% vs prior (41)

The number of hit-and-run crashes increased slightly from 41 in September 2023 to 44 in September 2024. Concurrently, the hit-and-run rate more than doubled, rising from 11.3% of all crashes in the prior period to 22.8% in the current period. This indicates an upward trend in the proportion of crashes classified as hit-and-run year-over-year.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 3-66.7%

0

Cyclists Killed

Prior: 00.0%

2

Motorists Killed

Prior: 1100.0%

0

Other Killed

Prior: 00.0%

4

Pedestrians Injured

Prior: 40.0%

6

Cyclists Injured

Prior: 3100.0%

65

Motorists Injured

Prior: 226-71.2%

2

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · 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 in September 2023 (72 crashes) to both Saturday and Sunday in September 2024 (33 crashes each). The peak hour for crashes also changed, moving from 4 PM (30 crashes) in the prior period to 3 PM (22 crashes) in the current period. Across all days of the week and hours of the day, the number of crashes decreased year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 1.1% in September 2023 to 1.55% in September 2024, despite a decrease in the absolute number of fatal crashes from 4 to 3. Serious injury crashes (severity A) decreased from 7 to 4, while minor injury crashes (severity B) decreased from 88 to 38. The proportion of crashes resulting in any injury (severity A, B, or C) decreased from 35.8% in September 2023 to 32.6% in September 2024.

Outcome by Severity (Crash Events)

Fatal3fatal crashes1.6%
-25.0%prior 4
Serious Injury4serious injury crashes2.1%
-42.9%prior 7
Minor Injury38minor injury crashes19.7%
-56.8%prior 88
Possible Injury21possible injury crashes10.9%
-40.0%prior 35
No Injury116no injury crashes60.1%
-45.5%prior 213

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Most severe injury per crash record

Top Contributing Factors

Inattention remained the top contributing factor, with its count decreasing from 68 crashes in September 2023 to 41 crashes in September 2024. Failed to yield right of way saw a substantial decrease in count, from 68 crashes to 30 crashes, shifting from a joint first to third position. No improper driving decreased from 58 crashes to 34 crashes, moving from third to second in ranking, while speeding crashes decreased from 31 to 7.

Officer-Reported Primary Contributing Cause

Inattention41 (21.2%)-39.7%prior 68
No improper driving34 (17.6%)-41.4%prior 58
Failed to yield right of way30 (15.5%)-55.9%prior 68
Failure to keep in proper lane or running off road16 (8.3%)-23.8%prior 21
Disregarded traffic signs, signals, road markings10 (5.2%)-16.7%prior 12
Followed too closely10 (5.2%)-54.5%prior 22
Other improper action6 (3.1%)-60.0%prior 15
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (2.6%)-16.7%prior 6
Driving too fast for conditions4 (2.1%)-78.9%prior 19
Distracted3 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather increased from 62.8% in September 2023 to 76.7% in September 2024. Similarly, crashes on dry road surfaces constituted a larger proportion, rising from 70.0% to 90.2% year-over-year. The proportion of crashes in rainy conditions decreased from 17.1% to 6.7%, and crashes on wet road surfaces decreased from 29.5% to 8.3%.

Weather

Clear148 (77.5%)
-35.1%prior 228
Cloudy16 (8.4%)
-36.0%prior 25
Rain13 (6.8%)
-79.0%prior 62
Clear/Clear5 (2.6%)
Clear/Cloudy4 (2.1%)
-33.3%prior 6
Cloudy/Rain1 (0.5%)
-96.6%prior 29
Unknown/Other1 (0.5%)
Clear/Other1 (0.5%)
Clear/Unknown1 (0.5%)
Cloudy/Cloudy1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Weather condition at time of crash

Lighting

Daylight127 (66.8%)
-43.6%prior 225
Dark - lighted roadway55 (28.9%)
-50.0%prior 110
Dusk5 (2.6%)
-37.5%prior 8
Dark - roadway not lighted2 (1.1%)
Dark - unknown roadway lighting1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Lighting condition field

Road Surface

Dry174 (91.6%)
-31.5%prior 254
Wet16 (8.4%)
-85.0%prior 107

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased significantly from 687 in September 2023 to 368 in September 2024. All age groups saw a reduction in the number of persons involved in crashes year-over-year, with the 26-34 age group experiencing the largest decrease, from 179 to 86. The top vehicle makes involved shifted, with Honda becoming the most frequent make in September 2024 (73 vehicles), surpassing Toyota (46 vehicles), which was the top make in September 2023 (105 vehicles).

Top Vehicle Makes (368 vehicles)

1
HONDA73 (19.8%)
-19.8%prior 91
2
TOYOTA46 (12.5%)
-56.2%prior 105
3
NISSAN30 (8.2%)
-45.5%prior 55
4
FORD22 (6%)
-65.1%prior 63
5
HYUNDAI19 (5.2%)
-68.3%prior 60
6
CHEVROLET13 (3.5%)
-69.0%prior 42
7
KIA13 (3.5%)
-43.5%prior 23
8
ACURA11 (3%)
-35.3%prior 17
9
BMW9 (2.4%)
0.0%prior 9
10
LEXUS8 (2.2%)
0.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Vehicle unit records

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

Sex Distribution (384 persons with recorded sex)

Male220 (57.3%)
-51.4%prior 453
Female164 (42.7%)
-61.0%prior 421

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · Person-level records linked to crash events

Speed Limit Zones

The number of crashes decreased across all reported speed limit zones year-over-year. In September 2023, there were 4 fatal crashes in the 30 mph zone, while in September 2024, there were no fatal crashes reported in this zone. Conversely, the 35 mph speed zone, which had no fatal crashes in September 2023, recorded 2 fatal crashes in September 2024, representing a 5.0% fatal rate within that zone.

Fatal crashes by zone: 35 mph: 2 of 40 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-09-01 to 2024-09-30 · 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: 2024-09-01 through 2024-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-09-01 through 2024-09-30 (30 days)
  • Geographic scope: SPRINGFIELD, MA
  • Total crash records analyzed: 193
  • Total persons involved: 477
  • Total vehicles involved: 368

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: September 2024." Published June 21, 2026. Reporting period: 2024-09-01 to 2024-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/september-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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Springfield, MA Crash Report — September 2024 | ThatCarHitMe.com