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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · OCTOBER 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/october-2022-report
Monthly Traffic Safety Analysis
9,391 CRASHES IN
CONNECTICUT, CT
OCTOBER 2022
In October 2022, Connecticut recorded 9,391 traffic crashes, a 7.0% decrease from the 10,099 crashes documented in October 2021. Despite the overall decline in collisions, the number of total fatalities remained nearly stable, with 30 in the current period compared to 29 in the prior year. A notable year-over-year shift was the 22.2% decrease in crashes attributed to speeding, which fell from 788 to 613.
9,391
▼ -7.0%was 10,099
Total Crash Events
30
▲ 3.4%was 29
Persons Killed
3,106
▼ -9.0%was 3,413
Persons Injured
1,122
▼ -9.6%was 1,241
Hit-and-Run Crashes
Note: "Persons Killed" (30) counts individual fatalities across all crash events. "Fatal" in the severity table below (30) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for October shows a downward trend compared to the same month last year. Total crashes decreased by 7.0%, from 10,099 in October 2021 to 9,391 in October 2022. Similarly, the number of people injured in these incidents declined by 9.0% from 3,413 to 3,106, while total fatalities saw a slight increase from 29 to 30.
1,122
Hit-and-Run Crashes — October 2022
▼ -9.6% vs prior (1,241)
The incidence of hit-and-run crashes decreased in both absolute numbers and as a percentage of total crashes. In October 2022, there were 1,122 hit-and-run incidents, down from 1,241 in October 2021. This represents a drop in the hit-and-run rate from 12.3% of all crashes in the prior year to 11.9% in the current period, indicating a slight downward trend.
Vulnerable Road User Casualties
7
Pedestrians Killed
0
Cyclists Killed
23
Motorists Killed
0
Other Killed
132
Pedestrians Injured
24
Cyclists Injured
2,948
Motorists Injured
2
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between October 2021 and October 2022. While the most dangerous hour remained the 3 PM hour in both periods (841 crashes in 2021 vs. 791 in 2022), the peak day for crashes moved from Friday (1,950 crashes) in 2021 to Saturday (1,548 crashes) in 2022. Crash volumes on Fridays saw a significant decrease compared to the prior year.
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity distribution of crashes remained broadly consistent year-over-year, with no-injury crashes accounting for 75.6% of incidents in October 2022 compared to 75.0% in October 2021. However, the fatal crash rate increased from 0.28% to 0.32% despite a drop in total collisions. The proportion of crashes resulting in serious injuries decreased slightly from 1.4% to 1.2% of all incidents.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes across different environmental conditions remained largely unchanged year-over-year. In both October 2022 and October 2021, approximately 79% of crashes occurred in clear weather and on dry road surfaces. Crashes in rainy conditions accounted for 13.7% of the total in the current period, a slight decrease from 15.2% in the prior year. Similarly, about two-thirds of all incidents in both periods occurred during daylight hours.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed consistency year-over-year, with Honda, Toyota, and Ford remaining the top three most frequently involved makes in both October 2022 and October 2021. Analysis of persons involved shows a relatively stable age distribution, although the proportion of individuals aged 16-20 decreased from 10.3% of all persons in the prior period to 9.3% in the current period. The 26-34 age group remained the largest single cohort involved in crashes in both years, at approximately 17% of the total.
Top Vehicle Makes (17,746 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records
1,510 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,976 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · Person-level records linked to crash events
Speed Limit Zones
While the number of crashes in zones posted at 25 mph or less remained stable, collisions in higher speed zones saw a general decrease from October 2021 to October 2022. For instance, crashes in 50-55 mph zones fell from 1,450 to 1,221. Despite this, the rate of fatal crashes within specific speed zones shifted; the fatality rate in 25 mph zones increased from 0.11% to 0.40%. Furthermore, zones posted at 65 mph, which had zero fatal crashes in the prior period, recorded 6 fatal crashes in October 2022, representing 1.1% of all crashes in that speed zone.
Fatal crashes by zone: 25 mph: 11 of 2,766 (0.398%) · 30 mph: 1 of 768 (0.13%) · 35 mph: 4 of 1,011 (0.396%) · 40 mph: 3 of 566 (0.53%) · 45 mph: 2 of 377 (0.531%) · 50 mph: 1 of 270 (0.37%) · 55 mph: 1 of 951 (0.105%) · 65 mph: 6 of 540 (1.111%)
Source: Connecticut Crash Data · Csv Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2022-10-01 through 2022-10-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,391
- Total persons involved: 22,656
- Total vehicles involved: 17,746
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: October 2022." Published August 20, 2026. Reporting period: 2022-10-01 to 2022-10-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/october-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: 2022-10-01 – 2022-10-31
Generated: August 20, 2026 · All rights reserved
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