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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
24,486 CRASHES IN
CONNECTICUT, CT
2021
In 2021, Hartford County recorded 24,486 total crashes, a 15.9% increase from the 21,128 crashes documented in 2020. This overall rise in collisions was accompanied by a significant 39.1% increase in traffic fatalities, which grew from 64 to 89 year-over-year. The most notable proportional shift was a 42.3% increase in crashes involving speeding, which rose from 1,540 to 2,192 incidents.
24,486
▲ 15.9%was 21,128
Total Crash Events
89
▲ 39.1%was 64
Persons Killed
9,225
▲ 12.7%was 8,186
Persons Injured
3,446
▼ -2.1%was 3,519
Hit-and-Run Crashes
Note: "Persons Killed" (89) counts individual fatalities across all crash events. "Fatal" in the severity table below (82) 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 collisions in Hartford County demonstrated a clear upward trend from 2020 to 2021. Total crashes increased by 15.9%, from 21,128 to 24,486. This trend extended to crash severity, as total fatalities rose by 39.1% and total injuries increased by 12.7% over the same period.
3,446
Hit-and-Run Crashes — 2021
▼ -2.1% vs prior (3,519)
Hit-and-run incidents in Hartford County trended downward between 2020 and 2021. The total number of hit-and-run crashes fell from 3,519 to 3,446. The hit-and-run rate, which measures these incidents as a percentage of all crashes, also declined from 16.7% in 2020 to 14.1% in 2021.
Vulnerable Road User Casualties
20
Pedestrians Killed
0
Cyclists Killed
69
Motorists Killed
256
Pedestrians Injured
70
Cyclists Injured
8,899
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 daily and hourly patterns of crashes in Hartford County remained consistent, despite an increase in overall volume. Friday was the peak day for crashes in both 2021 (4,036 crashes) and 2020 (3,618 crashes). The 3 p.m. hour also remained the consistent peak time for collisions, with incidents in this single hour increasing from 1,838 to 2,092 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 proportion of fatal crashes relative to all crashes remained stable at 0.3% in both 2020 and 2021, although the absolute number of fatal crashes increased from 63 to 82. The combined share of crashes resulting in any injury (serious, minor, or possible) decreased slightly from 27.8% in 2020 to 26.5% in 2021. Consequently, the proportion of crashes with no reported injuries rose from 72.0% to 73.2%.
Severity is per crash event (most severe injury). 82 fatal crash events resulted in 89 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 under favorable conditions, with no major shifts in distribution. In 2021, 80.5% of crashes occurred in clear weather and 79.4% on dry roads, compared to 83.0% and 81.7% respectively in 2020. The proportion of crashes on wet roads saw a minor increase from 15.1% in 2020 to 16.1% 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 were largely unchanged, with Honda, Toyota, and Ford topping the list in 2021, a minor shift from 2020 when Nissan was third instead of Ford. Analysis of persons involved in crashes reveals a proportional increase in the 16-20 age group, which accounted for 10.2% of all individuals in 2021, up from 9.1% in 2020.
Top Vehicle Makes (46,244 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
4,147 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (56,739 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
From 2020 to 2021, crashes shifted toward higher speed zones. While collisions in 25 mph zones decreased, crashes in 35 mph zones rose from 3,274 to 3,980. Most notably, crashes in 65 mph zones increased substantially from 1,341 to 2,078, and the number of fatal crashes within that specific speed zone nearly doubled from 10 to 19.
Fatal crashes by zone: 1 mph: 2 of 1,574 (0.127%) · 25 mph: 5 of 4,258 (0.117%) · 30 mph: 18 of 2,656 (0.678%) · 35 mph: 11 of 3,980 (0.276%) · 40 mph: 11 of 1,965 (0.56%) · 45 mph: 3 of 818 (0.367%) · 50 mph: 6 of 1,880 (0.319%) · 55 mph: 1 of 1,070 (0.093%) · 65 mph: 19 of 2,078 (0.914%) · 88 mph: 4 of 2,147 (0.186%)
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 21, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 24,486
- Total persons involved: 60,645
- Total vehicles involved: 46,244
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 21, 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 21, 2026 · All rights reserved
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