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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
29,155 CRASHES IN
CONNECTICUT, CT
2021
In 2021, New Haven County recorded 29,155 total crashes, an 18.97% increase from the 24,505 crashes documented in 2020. This year-over-year comparison shows a significant rise in overall crash volume, accompanied by increases in both injuries and fatalities. The most substantial proportional growth in crashes occurred in higher speed zones.
29,155
▲ 19.0%was 24,505
Total Crash Events
90
▲ 8.4%was 83
Persons Killed
10,370
▲ 15.9%was 8,948
Persons Injured
4,411
▲ 15.7%was 3,812
Hit-and-Run Crashes
Note: "Persons Killed" (90) counts individual fatalities across all crash events. "Fatal" in the severity table below (86) 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
Crash trends in New Haven County show a notable increase from 2020 to 2021. Total crashes rose by 19.0%, from 24,505 to 29,155. Similarly, total injuries increased by 15.9% to 10,370, and the number of people killed rose by 8.4% from 83 to 90.
4,411
Hit-and-Run Crashes — 2021
▲ 15.7% vs prior (3,812)
The absolute number of hit-and-run crashes increased from 3,812 in 2020 to 4,411 in 2021, a 15.7% rise. However, as a proportion of all crashes, the hit-and-run rate saw a slight decrease. In 2021, hit-and-runs accounted for 15.1% of all incidents, down from 15.6% in the previous year, indicating their growth did not outpace the overall increase in total crashes.
Vulnerable Road User Casualties
24
Pedestrians Killed
1
Cyclists Killed
65
Motorists Killed
337
Pedestrians Injured
95
Cyclists Injured
9,938
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 broadly consistent year-over-year, with some minor shifts. Friday continued to be the peak day for crashes in both 2020 (4,188 crashes) and 2021 (4,908 crashes). The peak hour for collisions shifted slightly later in the day, from the 3 p.m. hour in 2020 (2,045 crashes) to the 4 p.m. hour in 2021 (2,391 crashes).
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
While the absolute number of fatal and injury crashes increased, their proportion relative to all crashes shifted. The fatal crash rate per 100 crashes decreased slightly from 0.32 in 2020 to 0.29 in 2021. The share of crashes resulting in any level of injury also saw a small decline, from 26.5% of all crashes in 2020 to 25.8% in 2021. Correspondingly, the proportion of crashes with no reported injuries rose from 73.1% to 74.0%.
Severity is per crash event (most severe injury). 86 fatal crash events resulted in 90 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 distribution of crashes across different environmental conditions saw minimal change between 2020 and 2021. The vast majority of incidents in both years occurred in clear weather (82.0% in 2021 vs. 81.1% in 2020) and during daylight hours (67.8% in 2021 vs. 66.4% in 2020). Crashes on dry road surfaces accounted for 82.2% of the total in 2021, a slight proportional increase from 80.9% in the prior year.
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 composition of vehicles and persons involved in crashes showed consistency between the two periods. The top five vehicle makes remained unchanged, with Honda (6,494 vehicles), Nissan (5,033), and Toyota (4,817) being the most frequently involved in 2021, reflecting a similar ranking from 2020. The age distribution of all persons involved in crashes also saw little change; the 26-34 age group was the largest single cohort in both years, representing 18.4% of individuals in 2021 and 18.1% in 2020.
Top Vehicle Makes (55,525 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
5,405 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (65,424 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
While the 25 mph speed zone continued to have the highest number of crashes in both years (11,110 in 2021), there was a notable increase in crashes in higher speed zones. Crashes in 55 mph zones rose by 62.7% from 2,011 to 3,272, and incidents in 65 mph zones increased by 42.6% from 905 to 1,291. The fatality rate was highest in the 50 mph zone in 2021 at 1.30%, an increase from 0.92% in the prior year for that same speed bracket.
Fatal crashes by zone: 1 mph: 2 of 3,972 (0.05%) · 25 mph: 25 of 11,110 (0.225%) · 30 mph: 10 of 1,714 (0.583%) · 35 mph: 12 of 2,655 (0.452%) · 40 mph: 8 of 1,282 (0.624%) · 45 mph: 4 of 981 (0.408%) · 50 mph: 5 of 384 (1.302%) · 55 mph: 13 of 3,272 (0.397%) · 65 mph: 6 of 1,291 (0.465%) · 88 mph: 1 of 662 (0.151%)
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 22, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 29,155
- Total persons involved: 70,907
- Total vehicles involved: 55,525
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 22, 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 22, 2026 · All rights reserved
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