If you're a data point in this report, call us.
We'll evaluate whether you have a case. Free, and no pressure.
ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · APRIL 2021
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/connecticut/statewide/april-2021-report
Monthly Traffic Safety Analysis
7,188 CRASHES IN
CONNECTICUT, CT
APRIL 2021
In April 2021, Connecticut recorded 7,188 traffic crashes, a 100.7% increase from the 3,582 crashes reported in April 2020. This substantial year-over-year rise was also reflected in crash outcomes, with total injuries increasing by 104.8% to 2,507 and fatalities rising by 29.2% to 31. The most significant shift was the overall doubling of crash volume, indicating a major change in traffic activity between the two periods.
7,188
▲ 100.7%was 3,582
Total Crash Events
31
▲ 29.2%was 24
Persons Killed
2,507
▲ 104.8%was 1,224
Persons Injured
1,045
▲ 74.7%was 598
Hit-and-Run Crashes
Note: "Persons Killed" (31) counts individual fatalities across all crash events. "Fatal" in the severity table below (28) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Comparing April 2021 to April 2020, traffic crashes in Connecticut showed a sharply rising trend. Total crashes more than doubled, increasing from 3,582 to 7,188. Similarly, the number of people injured rose from 1,224 to 2,507, and fatalities increased from 24 to 31.
1,045
Hit-and-Run Crashes — April 2021
▲ 74.7% vs prior (598)
Although the total number of hit-and-run incidents increased from 598 to 1,045 year-over-year, the hit-and-run rate trended downward. In April 2021, hit-and-runs constituted 14.5% of all crashes, a decrease from the 16.7% rate observed in April 2020. This indicates that while more hit-and-runs occurred, they grew at a slower pace than total crashes.
Vulnerable Road User Casualties
4
Pedestrians Killed
0
Cyclists Killed
27
Motorists Killed
70
Pedestrians Injured
27
Cyclists Injured
2,410
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal crash patterns shifted significantly between April 2020 and April 2021. The peak day for crashes moved from Thursday (603 crashes) to Friday (1,422 crashes), and the peak hour shifted from 2 p.m. to 3 p.m. The hourly crash distribution in April 2021 shows a return to a more traditional commute pattern with distinct morning and afternoon peaks, contrasting with the flatter, less pronounced daily cycle observed in April 2020.
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the absolute number of fatal crashes increased from 22 to 28, the fatal crash rate per 100 crashes decreased from 0.61 in April 2020 to 0.39 in April 2021. The proportion of crashes resulting in serious injury saw a slight increase from 1.4% to 1.8% year-over-year. The percentages of minor injury (11.9% vs 10.9%) and no-injury crashes (73.5% vs 74.3%) remained largely consistent between the two periods.
Severity is per crash event (most severe injury). 28 fatal crash events resulted in 31 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Most severe injury per crash record
Road & Environmental Conditions
In April 2021, a larger proportion of crashes occurred in favorable conditions compared to April 2020. Crashes during daylight hours rose from 73.6% to 75.9% of the total. Similarly, the share of crashes happening in clear weather increased from 71.9% to 83.3%, and those on dry road surfaces grew from 74.5% to 86.1%. This indicates that the year-over-year surge in crashes was not attributable to worse weather or road conditions.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Road surface condition field
Vehicles & Demographics
The ranking of the top five vehicle makes involved in crashes remained unchanged year-over-year, with Honda, Toyota, Ford, Nissan, and Chevrolet leading in both periods, and their involvement counts more than doubling. Analysis of persons involved shows a slight shift in age demographics, with the 16-20 age group increasing its share from 8.3% in April 2020 to 10.0% in April 2021. The share of most adult age groups slightly decreased proportionally.
Top Vehicle Makes (13,637 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Vehicle unit records
1,268 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (16,283 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes shifted towards higher speed limit zones in April 2021 compared to the previous year. The proportion of crashes in zones posted at 55 mph or higher grew from 9.8% to 14.7% of all speed-coded incidents. Conversely, crashes in zones of 35 mph or less decreased proportionally from 63.4% to 58.2%. Fatality rates within these zones showed mixed changes, with the rate in 40 mph zones more than doubling while the rate in 65 mph zones saw a decrease.
Fatal crashes by zone: 1 mph: 1 of 831 (0.12%) · 25 mph: 5 of 2,359 (0.212%) · 30 mph: 1 of 621 (0.161%) · 35 mph: 6 of 813 (0.738%) · 40 mph: 5 of 429 (1.166%) · 45 mph: 4 of 254 (1.575%) · 50 mph: 1 of 137 (0.73%) · 55 mph: 1 of 622 (0.161%) · 65 mph: 4 of 338 (1.183%)
Source: Connecticut Crash Data · Csv Open Data · 2021-04-01 to 2021-04-30 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Connecticut Crash Data, accessed programmatically via the Csv 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: Csv 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: 2021-04-01 through 2021-04-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-04-01 through 2021-04-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 7,188
- Total persons involved: 17,572
- Total vehicles involved: 13,637
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). "connecticut, CT Crash Intelligence Report: April 2021." Published August 20, 2026. Reporting period: 2021-04-01 to 2021-04-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/april-2021-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: Connecticut Crash Data · Csv
Period: 2021-04-01 – 2021-04-30
Generated: August 20, 2026 · All rights reserved
The data is step one. Get a Connecticut attorney on the line.
Call our intake team. We connect you to a vetted Connecticut personal injury attorney who calls you back within minutes. No phone tag. No voicemails.
Always free for accident victims.