ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MASSACHUSETTS, MA · FEBRUARY 2022
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/statewide/february-2022-report
Monthly Traffic Safety Analysis
10,795 CRASHES IN
MASSACHUSETTS, MA
FEBRUARY 2022
In February 2022, there were 10,795 total traffic crashes, an 18.7% increase from the 9,098 crashes recorded in February 2021. The most notable year-over-year shift was the number of fatalities, which rose by 88.9% from 18 to 34. Total injuries also increased by 15.5%, from 2,270 to 2,621.
10,795
▲ 18.7%was 9,098
Total Crash Events
34
▲ 88.9%was 18
Persons Killed
2,621
▲ 15.5%was 2,270
Persons Injured
846
▲ 34.1%was 631
Hit-and-Run Crashes
Note: "Persons Killed" (34) counts individual fatalities across all crash events. "Fatal" in the severity table below (32) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 903 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes showed a clear rising trend year-over-year. Total crashes increased by 18.7%, from 9,098 in February 2021 to 10,795 in February 2022. This trend extended to crash outcomes, with total injuries rising 15.5% and total fatalities increasing by 88.9% over the same period.
846
Hit-and-Run Crashes — February 2022
▲ 34.1% vs prior (631)
The number of hit-and-run crashes increased by 34.1% year-over-year, rising from 631 in February 2021 to 846 in February 2022. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended upward from 6.9% to 7.8%.
Vulnerable Road User Casualties
9
Pedestrians Killed
0
Cyclists Killed
25
Motorists Killed
0
Other Killed
102
Pedestrians Injured
17
Cyclists Injured
2,493
Motorists Injured
9
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal pattern of crashes shifted between the two periods. The peak day for crashes moved from Tuesday in February 2021 (1,488 crashes) to Friday in February 2022 (1,988 crashes). The peak hour remained in the afternoon commute window, shifting slightly from 2 PM in the prior year (803 crashes) to 3 PM in the current year (817 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes increased year-over-year. The number of fatal crashes grew from 17 to 32, and the total number of persons killed rose from 18 to 34. Consequently, the proportion of crashes resulting in a fatality increased from 0.2% to 0.3%. The share of crashes involving a serious injury remained stable at 1.1%, while the proportion of minor injury crashes edged up from 10.2% to 10.4%.
Severity is per crash event (most severe injury). 32 fatal crash events resulted in 34 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent, with 'Inattention' and 'Failed to yield right of way' ranking in the top three for both periods. However, the count of crashes attributed to 'Followed too closely' increased by 59.7% year-over-year, from 489 to 781 incidents. The number of crashes involving 'Inattention' also grew by 29.7% (from 967 to 1,254), while crashes from 'Driving too fast for conditions' remained unchanged at 722.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A greater share of crashes in February 2022 occurred in clear weather and on dry roads compared to the prior year. Crashes on dry roads made up 51.9% of the total, up from 46.7% in 2021. Conversely, the proportion of crashes in snow conditions decreased from 16.8% to 8.1% of all crashes. The distribution of crashes across different lighting conditions remained nearly identical year-over-year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes—Toyota, Honda, Ford, Chevrolet, and Nissan—were the same in both periods and maintained their respective rankings. The age distribution of persons involved in crashes also showed strong consistency, with the 16-20 age group, for instance, comprising 10.0% of all persons involved in both February 2021 and February 2022.
Top Vehicle Makes (19,219 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records
2,630 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,380 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events
Speed Limit Zones
Crashes increased across most speed zones, with significant growth in 55 mph zones (from 395 to 623 crashes) and 65 mph zones (from 554 to 819 crashes). Fatalities rose sharply in 30 mph zones, increasing from 2 to 10, and in 40 mph zones, from 1 to 5. As a result, the fatal crash rate more than quadrupled in both 30 mph and 40 mph zones compared to the prior year.
Fatal crashes by zone: 25 mph: 3 of 1,833 (0.164%) · 30 mph: 10 of 2,979 (0.336%) · 35 mph: 4 of 1,414 (0.283%) · 40 mph: 5 of 772 (0.648%) · 45 mph: 1 of 395 (0.253%) · 55 mph: 3 of 623 (0.482%) · 65 mph: 6 of 819 (0.733%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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: 2022-02-01 through 2022-02-28
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-02-01 through 2022-02-28 (28 days)
- Geographic scope: massachusetts, MA
- Total crash records analyzed: 10,795
- Total persons involved: 23,371
- Total vehicles involved: 19,219
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). "massachusetts, MA Crash Intelligence Report: February 2022." Published June 21, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/statewide/february-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2022-02-01 – 2022-02-28
Generated: June 21, 2026 · All rights reserved