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YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · 2024
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/2024-annual-report
Yearly Traffic Safety Analysis
30,156 CRASHES IN
CONNECTICUT, CT
2024
In 2024, Fairfield County recorded 30,156 total vehicle crashes, a 2.9% increase from the 29,298 crashes in 2023. While total fatalities remained stable, the most notable year-over-year shift was a 32.3% increase in crashes resulting in serious injuries, which rose from 263 incidents in 2023 to 348 in 2024.
30,156
▲ 2.9%was 29,298
Total Crash Events
59
▼ -1.7%was 60
Persons Killed
8,888
▲ 2.5%was 8,674
Persons Injured
3,540
▲ 4.7%was 3,382
Hit-and-Run Crashes
Note: "Persons Killed" (59) counts individual fatalities across all crash events. "Fatal" in the severity table below (48) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Fairfield County show a slight increase in 2024 compared to the previous year. Total crashes rose by 2.9% from 29,298 to 30,156, and the number of people injured increased by 2.5% from 8,674 to 8,888. Conversely, the number of fatalities saw a marginal decrease from 60 in 2023 to 59 in 2024.
3,540
Hit-and-Run Crashes — 2024
▲ 4.7% vs prior (3,382)
Hit-and-run incidents trended upward in 2024 compared to the prior year. The total number of hit-and-run crashes increased from 3,382 in 2023 to 3,540 in 2024. The hit-and-run rate also saw a slight increase, rising from 11.5% to 11.7% of all reported crashes.
Vulnerable Road User Casualties
13
Pedestrians Killed
0
Cyclists Killed
45
Motorists Killed
1
Other Killed
424
Pedestrians Injured
99
Cyclists Injured
8,365
Motorists Injured
0
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Fairfield County remained consistent year-over-year. Friday was the peak day for crashes in both 2024 (4,864 crashes) and 2023 (4,646 crashes). Similarly, the 5 PM hour was the peak time for incidents in both periods, accounting for 2,516 crashes in 2024 and 2,452 in 2023.
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the number of fatal crashes decreased from 55 in 2023 to 48 in 2024, the number of crashes involving serious injuries increased significantly. Serious injury crashes rose by 32.3%, from 263 incidents to 348. This shifted the proportion of serious injury crashes from 0.9% of all crashes in 2023 to 1.2% in 2024.
Severity is per crash event (most severe injury). 48 fatal crash events resulted in 59 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions remained largely stable between the two periods, with the majority of incidents in both years occurring in clear weather and on dry roads. In 2024, 84.1% of crashes happened in clear weather, slightly up from 83.1% in 2023. Correspondingly, crashes during rainy conditions decreased from 10.4% of the total in 2023 to 8.8% in 2024.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes, including Honda, Toyota, and Ford, remained consistent in ranking and proportion between 2023 and 2024. Analysis of persons involved in crashes shows a stable distribution across most age groups. However, the proportion of individuals aged 65 and older involved in crashes saw a slight increase, rising from 9.8% of all persons in 2023 to 10.6% in 2024.
Top Vehicle Makes (58,184 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
4,984 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (66,516 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution across speed zones showed a notable volume increase in 55 mph zones, which saw 5,668 crashes in 2024 compared to 5,189 in 2023. Conversely, the number of crashes in these 55 mph zones that were fatal decreased from 12 to 9. In 25 mph zones, the total number of crashes remained nearly flat (9,739 to 9,764), but the number of fatal crashes increased from 16 to 21.
Fatal crashes by zone: 10 mph: 1 of 53 (1.887%) · 25 mph: 21 of 9,764 (0.215%) · 30 mph: 2 of 1,849 (0.108%) · 35 mph: 3 of 2,010 (0.149%) · 40 mph: 8 of 1,056 (0.758%) · 50 mph: 2 of 94 (2.128%) · 55 mph: 9 of 5,668 (0.159%) · 65 mph: 1 of 354 (0.282%) · 88 mph: 1 of 1,782 (0.056%)
Source: Connecticut Crash Data · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 30,156
- Total persons involved: 72,415
- Total vehicles involved: 58,184
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: 2024." Published August 20, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2024-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: 2024-01-01 – 2024-12-31
Generated: August 20, 2026 · All rights reserved
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