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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · DECEMBER 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/december-2021-report
Monthly Traffic Safety Analysis
9,424 CRASHES IN
CONNECTICUT, CT
DECEMBER 2021
In December 2021, Connecticut recorded 9,424 vehicle crashes, a 15.8% increase from the 8,141 crashes reported in December 2020. While the total number of fatalities remained unchanged at 23 for both periods, the number of reported injuries rose by 21.5%, from 2,464 to 2,994. The most significant year-over-year shift was the overall increase in both total crashes and non-fatal injuries.
9,424
▲ 15.8%was 8,141
Total Crash Events
23
Persons Killed
2,994
▲ 21.5%was 2,464
Persons Injured
1,162
▲ 6.8%was 1,088
Hit-and-Run Crashes
Note: "Persons Killed" (23) counts individual fatalities across all crash events. "Fatal" in the severity table below (22) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for December shows a clear upward trend in traffic incidents compared to the previous year. Total crashes rose by 15.8%, from 8,141 in December 2020 to 9,424 in December 2021. This increase was accompanied by a 21.5% rise in injuries, though fatalities held steady at 23 deaths in both periods.
1,162
Hit-and-Run Crashes — December 2021
▲ 6.8% vs prior (1,088)
The absolute number of hit-and-run crashes increased from 1,088 in December 2020 to 1,162 in December 2021, a rise of 6.8%. Despite this increase in count, the hit-and-run rate as a proportion of all crashes trended downward. The rate fell from 13.4% of all crashes in the prior period to 12.3% in the current period.
Vulnerable Road User Casualties
7
Pedestrians Killed
0
Cyclists Killed
16
Motorists Killed
101
Pedestrians Injured
12
Cyclists Injured
2,881
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak hour for crashes remained the 5 p.m. evening commute in both periods, though the volume of crashes during this hour increased from 735 to 934 year-over-year. The most dangerous day of the week shifted from Wednesday (1,316 crashes) in December 2020 to Friday (1,778 crashes) in December 2021. Overall, crash counts increased across most days and hours compared to the prior year.
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The distribution of crash severity remained relatively stable year-over-year, with crashes involving an injury accounting for 22.8% of all incidents in December 2021, compared to 22.5% in the prior year. The fatal crash rate saw a slight decrease from 0.26% to 0.23% of all crashes. Although the total number of fatal crashes increased by one (from 21 to 22), the number of resulting fatalities was identical at 23 in both periods.
Severity is per crash event (most severe injury). 22 fatal crash events resulted in 23 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The proportion of crashes occurring in clear weather was consistent at around 75% for both periods. However, there was a shift in lighting conditions, with a smaller share of crashes happening in daylight (51.0% vs. 54.6%) and a larger share in dark-but-lighted conditions (35.0% vs. 32.6%) in December 2021. Crashes on dry road surfaces accounted for a higher percentage of the total, rising from 65.2% in the prior year to 70.8% in the current period.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Honda, Toyota, and Ford—were the same in both periods, with each seeing an increase in total incidents that mirrored the overall rise in crashes. The age distribution of persons involved in crashes also showed a consistent pattern, with the 26-34 age group being the largest in both years. This group grew from 3,352 individuals in December 2020 to 3,822 in December 2021.
Top Vehicle Makes (17,515 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records
1,349 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,406 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in speed zones of 35 mph or less continued to be the most common in both periods. However, there was a notable year-over-year increase in crashes within 50-60 mph zones, which rose from 759 to 1,341 incidents. Fatal crashes occurred more frequently at higher speeds in December 2021, with 10 fatalities recorded in zones of 50 mph or greater, compared to 4 in the same zones during the prior year.
Fatal crashes by zone: 25 mph: 2 of 2,698 (0.074%) · 30 mph: 5 of 780 (0.641%) · 35 mph: 1 of 1,090 (0.092%) · 40 mph: 2 of 558 (0.358%) · 45 mph: 1 of 352 (0.284%) · 50 mph: 4 of 313 (1.278%) · 55 mph: 1 of 1,027 (0.097%) · 65 mph: 5 of 575 (0.87%) · 88 mph: 1 of 379 (0.264%)
Source: Connecticut Crash Data · Csv Open Data · 2021-12-01 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: 2021-12-01 through 2021-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-12-01 through 2021-12-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,424
- Total persons involved: 21,899
- Total vehicles involved: 17,515
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: December 2021." Published August 20, 2026. Reporting period: 2021-12-01 to 2021-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/december-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: 2021-12-01 – 2021-12-31
Generated: August 20, 2026 · All rights reserved
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