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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · DECEMBER 2022
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-2022-report
Monthly Traffic Safety Analysis
9,282 CRASHES IN
CONNECTICUT, CT
DECEMBER 2022
Total crashes in Connecticut decreased by 1.5% from 9,424 in December 2021 to 9,282 in December 2022. Despite this overall reduction in collisions, the number of fatalities increased significantly by 39.1%, rising from 23 to 32 over the same period. The most notable shift was a sharp rise in fatalities within 25 mph speed zones.
9,282
▼ -1.5%was 9,424
Total Crash Events
32
▲ 39.1%was 23
Persons Killed
2,962
▼ -1.1%was 2,994
Persons Injured
1,104
▼ -5.0%was 1,162
Hit-and-Run Crashes
Note: "Persons Killed" (32) counts individual fatalities across all crash events. "Fatal" in the severity table below (29) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows a slight year-over-year decrease in traffic incidents, with total crashes falling by 1.5% and total injuries declining by 1.1%. However, this was contrasted by a sharp rise in crash severity, as fatalities jumped from 23 in December 2021 to 32 in December 2022, a 39.1% increase.
1,104
Hit-and-Run Crashes — December 2022
▼ -5.0% vs prior (1,162)
Hit-and-run incidents showed a slight downward trend compared to the previous year. The total number of hit-and-run crashes decreased from 1,162 in December 2021 to 1,104 in December 2022. The corresponding hit-and-run rate also declined, falling from 12.3% to 11.9% of all crashes.
Vulnerable Road User Casualties
12
Pedestrians Killed
0
Cyclists Killed
20
Motorists Killed
134
Pedestrians Injured
10
Cyclists Injured
2,818
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · 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 consistent year-over-year. Friday was the peak day for crashes in both December 2021 (1,778 crashes) and December 2022 (1,704 crashes). Similarly, the 5 PM hour was the peak time in both periods, though the number of crashes during this hour increased from 934 to 1,006.
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the total number of crashes decreased, the severity of crashes worsened year-over-year. The number of fatal crashes rose from 22 to 29, and the fatal crash rate increased from 0.23 to 0.31 per 100 crashes. The proportion of crashes involving any level of injury remained stable, moving from 22.8% in the prior period to 23.2% in the current period.
Severity is per crash event (most severe injury). 29 fatal crash events resulted in 32 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes by lighting and road surface conditions was nearly identical between the two periods. However, there was a shift in weather conditions, with the proportion of crashes occurring in rain increasing from 10.7% of all crashes in December 2021 to 15.4% in December 2022. Crashes in clear weather represented 74.3% of the total in the current period, down slightly from 75.7% in the prior year.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The profile of vehicles and persons involved in crashes showed little change year-over-year. The top three vehicle makes involved in collisions were Honda, Toyota, and Ford in both December 2021 and December 2022, with very similar incident counts. Likewise, the 26-34 age group consistently represented the largest cohort of individuals involved in crashes across both periods.
Top Vehicle Makes (17,349 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records
1,471 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,499 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones remained stable, with 25 mph zones accounting for the highest volume of incidents in both periods (2,581 in 2022 vs. 2,698 in 2021). However, there was a significant shift in fatal crash locations, as fatalities in 25 mph zones increased from 2 to 10 year-over-year. Conversely, fatal crashes in 50 mph zones decreased from 4 to 1.
Fatal crashes by zone: 25 mph: 10 of 2,581 (0.387%) · 30 mph: 4 of 811 (0.493%) · 35 mph: 3 of 1,112 (0.27%) · 40 mph: 2 of 609 (0.328%) · 45 mph: 4 of 369 (1.084%) · 50 mph: 1 of 231 (0.433%) · 55 mph: 1 of 926 (0.108%) · 65 mph: 4 of 485 (0.825%)
Source: Connecticut Crash Data · Csv Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2022-12-01 through 2022-12-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,282
- Total persons involved: 22,104
- Total vehicles involved: 17,349
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 2022." Published August 20, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/december-2022-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: 2022-12-01 – 2022-12-31
Generated: August 20, 2026 · All rights reserved
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