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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · 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/2021-annual-report
Yearly Traffic Safety Analysis
1,923 CRASHES IN
CONNECTICUT, CT
2021
In 2021, Windham County recorded 1,923 total crashes, a 17.7% increase from the 1,634 crashes reported in 2020. During this period, total fatalities rose from 12 to 16, and the number of injuries increased from 646 to 749. One of the most notable year-over-year shifts was the increase in hit-and-run crashes, which grew from 157 to 223.
1,923
▲ 17.7%was 1,634
Total Crash Events
16
▲ 33.3%was 12
Persons Killed
749
▲ 15.9%was 646
Persons Injured
223
▲ 42.0%was 157
Hit-and-Run Crashes
Note: "Persons Killed" (16) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Windham County showed an upward trend from 2020 to 2021. Total collisions increased by 289, representing a 17.7% rise. In parallel, the number of people injured grew by 15.9% (from 646 to 749), and fatalities increased by 33.3% (from 12 to 16).
223
Hit-and-Run Crashes — 2021
▲ 42.0% vs prior (157)
Hit-and-run incidents increased significantly in 2021 compared to the prior year. The total number of hit-and-run crashes rose by 42.0%, from 157 in 2020 to 223 in 2021. This trend is also reflected in the hit-and-run rate, which climbed from 9.6% of all crashes in 2020 to 11.6% in 2021.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
15
Motorists Killed
14
Pedestrians Injured
1
Cyclists Injured
734
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent between the two periods, though the volume of incidents increased. Friday continued to be the day with the most crashes, rising from 275 in 2020 to 336 in 2021. Similarly, the 3 p.m. hour remained the peak time for collisions, with incidents during this hour increasing from 142 to 171 year-over-year.
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity distribution of crashes shifted slightly in 2021 compared to 2020. The fatal crash rate saw a minor increase from 0.7% to 0.8% of all incidents. Crashes resulting in serious injuries decreased as a proportion of the total, from 2.3% in 2020 to 1.6% in 2021. Conversely, the share of crashes involving minor injuries rose from 15.7% to 16.5%, and no-injury crashes also saw a slight proportional increase from 69.9% to 70.9%.
Severity is per crash event (most severe injury). 15 fatal crash events resulted in 16 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in both periods occurred in clear weather on dry roads, with these conditions accounting for over 77% of incidents in both 2020 and 2021. However, there was a significant increase in crashes associated with winter weather. Crashes during snowfall more than doubled from 44 to 100, and incidents on snow-covered roads increased from 33 in 2020 to 102 in 2021. The proportion of crashes occurring in daylight remained stable, accounting for 65.3% of crashes in 2020 and 67.2% in 2021.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
The most common vehicle makes involved in crashes, including Ford, Toyota, and Chevrolet, remained consistent across both years. Analysis of the age of persons involved in crashes shows a minor demographic shift. The proportion of individuals aged 65 and older increased from 9.0% of all persons in 2020 to 9.8% in 2021. Concurrently, the share of persons in the 16-20 age group decreased slightly from 13.4% to 12.8%.
Top Vehicle Makes (3,222 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
146 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,075 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes increased across most speed zones from 2020 to 2021, reflecting the overall rise in collisions. A notable change occurred in the location of fatal crashes, with four such incidents recorded in 40 mph zones in 2021, compared to none in 2020. Conversely, while two fatal crashes occurred in 65 mph zones in 2020, none were reported in that speed zone in 2021. Crashes in zones posted at 25 mph accounted for three fatalities in 2021, up from two the previous year.
Fatal crashes by zone: 25 mph: 3 of 527 (0.569%) · 40 mph: 4 of 175 (2.286%) · 45 mph: 6 of 237 (2.532%) · 50 mph: 2 of 45 (4.444%)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · 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: 2021-01-01 through 2021-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 1,923
- Total persons involved: 4,296
- Total vehicles involved: 3,222
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: 2021." Published August 20, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2021-annual-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: 2021-01-01 – 2021-12-31
Generated: August 20, 2026 · All rights reserved
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