Monthly Traffic Safety Analysis

347 CRASHES IN
SPRINGFIELD, MA
MARCH 2022

All metrics benchmarked againstMarch 2021

In March 2022, SPRINGFIELD, MA recorded 347 total crashes, an increase of 8.8% compared to the 319 crashes in March 2021. The most significant year-over-year shift was the reduction in total fatalities, which decreased from 4 in the prior period to 0 in the current period.

347

8.8%was 319

Total Crash Events

0

-100.0%was 4

Persons Killed

199

28.4%was 155

Persons Injured

38

11.8%was 34

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. 24 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in SPRINGFIELD, MA increased year-over-year, rising by 28 crashes from 319 in March 2021 to 347 in March 2022. This represents an 8.8% increase in total crashes. Conversely, total fatalities decreased from 4 to 0.

38

Hit-and-Run Crashes — March 2022

11.8% vs prior (34)

Hit-and-run crashes increased from 34 in March 2021 to 38 in March 2022. The overall hit-and-run rate also saw a slight increase, rising from 10.7% to 11% of total crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 3-100.0%

2

Pedestrians Injured

Prior: 5-60.0%

3

Cyclists Injured

Prior: 1200.0%

194

Motorists Injured

Prior: 14930.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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 Saturday in March 2021, which saw 51 crashes, to Thursday in March 2022, with 71 crashes. The peak hour for crashes also changed, moving from 3 PM with 27 crashes in the prior period to 4 PM with 42 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased significantly from 4 in March 2021 to 0 in March 2022. Total injuries, however, increased by 44, rising from 155 to 199 year-over-year. Specifically, minor injuries increased from 47 to 62, and possible injuries rose from 44 to 53.

Outcome by Severity (Crash Events)

Serious Injury9serious injury crashes2.6%
-10.0%prior 10
Minor Injury62minor injury crashes17.9%
31.9%prior 47
Possible Injury53possible injury crashes15.3%
20.5%prior 44
No Injury199no injury crashes57.3%
19.9%prior 166

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, "Inattention," increased by 16 crashes, rising from 84 in the prior period to 100 in the current period. "Driving too fast for conditions" saw a notable increase, with crashes attributed to this factor rising from 4 to 13. Conversely, crashes where "No improper driving" was cited decreased by 8, from 32 to 24.

Officer-Reported Primary Contributing Cause

Inattention100 (28.8%)19.0%prior 84
Failed to yield right of way65 (18.7%)3.2%prior 63
Disregarded traffic signs, signals, road markings29 (8.4%)70.6%prior 17
No improper driving24 (6.9%)-25.0%prior 32
Failure to keep in proper lane or running off road22 (6.3%)29.4%prior 17
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner14 (4%)55.6%prior 9
Driving too fast for conditions13 (3.7%)
Followed too closely10 (2.9%)-16.7%prior 12
Made an improper turn9 (2.6%)
Exceeded authorized speed limit7 (2%)40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on wet road surfaces increased substantially from 26 in March 2021 to 80 in March 2022. Concurrently, crashes on dry road surfaces decreased from 290 to 249. Crashes during daylight conditions increased from 210 to 242, while those during rainy weather rose from 15 to 23.

Weather

Clear250 (72.7%)
-5.3%prior 264
Cloudy31 (9.0%)
63.2%prior 19
Rain23 (6.7%)
53.3%prior 15
Cloudy/Rain15 (4.4%)
114.3%prior 7
Snow10 (2.9%)
Clear/Rain3 (0.9%)
Sleet, hail (freezing rain or drizzle)2 (0.6%)
Rain/Cloudy2 (0.6%)
Rain/Fog, smog, smoke2 (0.6%)
Clear/Severe crosswinds1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Weather condition at time of crash

Lighting

Daylight242 (70.1%)
15.2%prior 210
Dark - lighted roadway91 (26.4%)
2.2%prior 89
Dusk9 (2.6%)
50.0%prior 6
Dark - roadway not lighted2 (0.6%)
-75.0%prior 8
Dawn1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Lighting condition field

Road Surface

Dry249 (72.4%)
-14.1%prior 290
Wet80 (23.3%)
207.7%prior 26
Snow8 (2.3%)
Ice6 (1.7%)
Other1 (0.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 620 to 687 year-over-year. The number of persons aged 0-15 involved in crashes increased from 53 to 78, and those aged 55-64 increased from 48 to 71. The number of females involved in crashes increased from 311 to 411, while the number of males involved remained relatively stable at 407 in the prior period and 411 in the current period.

Top Vehicle Makes (687 vehicles)

1
HONDA105 (15.3%)
11.7%prior 94
2
TOYOTA73 (10.6%)
-5.2%prior 77
3
NISSAN68 (9.9%)
13.3%prior 60
4
FORD54 (7.9%)
0.0%prior 54
5
HYUNDAI52 (7.6%)
30.0%prior 40
6
CHEVROLET40 (5.8%)
-4.8%prior 42
7
ACURA29 (4.2%)
61.1%prior 18
8
JEEP24 (3.5%)
33.3%prior 18
9
KIA21 (3.1%)
31.3%prior 16
10
DODGE19 (2.8%)
-13.6%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records

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

Sex Distribution (822 persons with recorded sex)

Female411 (50.0%)
32.2%prior 311
Male411 (50.0%)
1.0%prior 407

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · Person-level records linked to crash events

Speed Limit Zones

Fatalities within speed zones decreased from 3 in March 2021 to 0 in March 2022. Crashes occurring in 25 mph zones increased from 100 to 117. Conversely, crashes in 30 mph zones decreased from 125 to 111.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-03-01 to 2022-03-31 · 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: 2022-03-01 through 2022-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-03-01 through 2022-03-31 (31 days)
  • Geographic scope: SPRINGFIELD, MA
  • Total crash records analyzed: 347
  • Total persons involved: 931
  • Total vehicles involved: 687

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: March 2022." Published June 21, 2026. Reporting period: 2022-03-01 to 2022-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/march-2022-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 — March 2022 | ThatCarHitMe.com