ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LOWELL, MA · APRIL 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/lowell/april-2022-report
Monthly Traffic Safety Analysis
199 CRASHES IN
LOWELL, MA
APRIL 2022
Total crashes in Lowell increased from 179 in April 2021 to 199 in April 2022, representing an 11.17% rise. Fatalities remained stable at 2 in both periods, while total injuries increased by 18.97% from 58 to 69. A notable change was the 66.67% decrease in DUI crashes, falling from 3 to 1.
199
▲ 11.2%was 179
Total Crash Events
2
Persons Killed
69
▲ 19.0%was 58
Persons Injured
38
▼ -9.5%was 42
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. 32 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash activity in Lowell increased year-over-year, with total crashes rising by 11.17% from 179 in April 2021 to 199 in April 2022. While total fatalities remained unchanged at 2, the number of injured persons increased by 18.97%, from 58 to 69. This indicates a general upward trend in crash frequency and injury occurrences for the period.
38
Hit-and-Run Crashes — April 2022
▼ -9.5% vs prior (42)
Hit-and-run crashes decreased by 9.52% year-over-year, from 42 incidents in April 2021 to 38 in April 2022. Consequently, the hit-and-run crash rate also decreased from 23.5% to 19.1%. This indicates a positive trend in the proportion of crashes where drivers remained at the scene.
Vulnerable Road User Casualties
0
Pedestrians Killed
2
Motorists Killed
5
Pedestrians Injured
64
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes remained Friday in both periods, with 38 crashes in April 2021 and 44 in April 2022. The peak crash hour shifted from 5 PM (17 crashes) in April 2021 to 3 PM (20 crashes) in April 2022. There was a general increase in crash counts across most days of the week, with Friday showing a 15.79% increase in crashes.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate slightly decreased from 1.12% in April 2021 to 1.01% in April 2022, despite the total number of fatal crashes remaining at 2. Serious injuries remained constant at 2 crashes in both periods, though their proportion decreased from 1.1% to 1%. Crashes resulting in possible injury saw a significant increase of 57.14%, rising from 14 in April 2021 to 22 in April 2022.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record
Top Contributing Factors
No improper driving remained the most frequently cited factor with 68 occurrences in both periods. Factors such as Disregarded traffic signs, signals, road markings increased significantly by 200%, from 4 crashes to 12. Failed to yield right of way crashes decreased by 40%, falling from 15 to 9, while Distracted crashes saw a 400% increase, rising from 1 to 5.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Clear weather conditions remained the most common for crashes, increasing from 123 crashes in April 2021 to 137 in April 2022. Crashes occurring in wet road surface conditions decreased slightly from 28 to 25. The number of crashes during daylight hours increased from 120 to 139, and those in dark but lighted roadway conditions rose from 42 to 49.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased by 11.01%, from 345 in April 2021 to 383 in April 2022. Honda and Toyota remained the top two vehicle makes involved in crashes, with Honda increasing from 71 to 76 and Toyota from 54 to 62. Notably, persons in the 16-20 age group involved in crashes increased by 38.3%, from 47 to 65, and those in the 55-64 age group increased by 80.95%, from 21 to 38.
Top Vehicle Makes (383 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records
91 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (401 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes reported in 30 mph zones increased by 18.42%, from 38 in April 2021 to 45 in April 2022, though the fatal rate in this zone decreased from 2.632% to 2.222%. The 25 mph zone saw a decrease in crashes from 9 to 5, while crashes in 35 mph zones increased from 1 to 6. There was also an increase in crashes in the 65 mph zone, rising from 1 to 4.
Fatal crashes by zone: 30 mph: 1 of 45 (2.222%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: LOWELL, MA
- Total crash records analyzed: 199
- Total persons involved: 509
- Total vehicles involved: 383
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). "LOWELL, MA Crash Intelligence Report: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/lowell/april-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: 2022-04-01 – 2022-04-30
Generated: June 21, 2026 · All rights reserved