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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · JANUARY 2020
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/january-2020-report
Monthly Traffic Safety Analysis
8,921 CRASHES IN
CONNECTICUT, CT
JANUARY 2020
In January 2020, Connecticut recorded 8,921 total traffic crashes, a 2.7% decrease from the 9,166 crashes reported in January 2019. While overall crashes and injuries saw a minor decline, the most notable year-over-year shift was a 15% increase in fatalities, which rose from 20 to 23.
8,921
▼ -2.7%was 9,166
Total Crash Events
23
▲ 15.0%was 20
Persons Killed
2,702
▼ -1.0%was 2,730
Persons Injured
1,120
▲ 7.2%was 1,045
Hit-and-Run Crashes
Note: "Persons Killed" (23) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends showed a slight decrease in volume year-over-year. Total collisions fell by 2.7% from 9,166 in January 2019 to 8,921 in January 2020, and total injuries declined by 1.0% from 2,730 to 2,702. In contrast to this trend, traffic fatalities increased by 15%, rising from 20 to 23.
1,120
Hit-and-Run Crashes — January 2020
▲ 7.2% vs prior (1,045)
Hit-and-run crashes increased both in total count and as a percentage of all collisions. The number of hit-and-run incidents rose by 7.2%, from 1,045 in January 2019 to 1,120 in January 2020. This pushed the hit-and-run rate up from 11.4% to 12.6% of all crashes year-over-year.
Vulnerable Road User Casualties
8
Pedestrians Killed
0
Cyclists Killed
15
Motorists Killed
0
Other Killed
114
Pedestrians Injured
15
Cyclists Injured
2,570
Motorists Injured
3
Other Injured
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted slightly year-over-year. The peak day for collisions moved from Tuesday (1,601 crashes) in January 2019 to Friday (1,644 crashes) in January 2020. The 5 p.m. hour remained the peak time for crashes in both periods, though the number of incidents during this hour increased from 885 to 954.
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes declined, the fatal crash rate increased from 0.21% in January 2019 to 0.26% in January 2020. The absolute number of fatal crashes rose from 19 to 23. The proportion of all injury-related crashes (serious, minor, and possible) remained stable, accounting for 22.0% of crashes in the current period compared to 21.9% in the prior year.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Most severe injury per crash record
Road & Environmental Conditions
The vast majority of crashes in both periods occurred in clear weather and during daylight hours. In January 2020, 78.0% of crashes occurred on dry road surfaces, a notable increase from 70.5% in January 2019. Correspondingly, crashes on roads with ice or frost saw a significant decrease, falling from 663 incidents in the prior year to 148 in the current period.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Honda (1,731 vehicles), Toyota (1,679), and Ford (1,451) leading in January 2020, a slight reordering from the previous year. The age distribution of persons involved in crashes was also stable, with the 26-34 age group representing the largest cohort in both periods, followed by the 35-44 and 45-54 age groups.
Top Vehicle Makes (16,860 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Vehicle unit records
1,616 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (20,100 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes were most frequent in 25 mph zones in both periods, with counts increasing slightly from 2,818 to 2,891 year-over-year. Fatal crashes were also most common in this zone, rising from 6 to 7. Notably, the fatal crash rate in the 45 mph zone increased from 0.8% to 1.4%, with 4 fatal crashes recorded out of 281 total incidents in January 2020.
Fatal crashes by zone: 25 mph: 7 of 2,891 (0.242%) · 30 mph: 1 of 801 (0.125%) · 35 mph: 3 of 1,021 (0.294%) · 40 mph: 2 of 514 (0.389%) · 45 mph: 4 of 281 (1.423%) · 50 mph: 1 of 230 (0.435%) · 55 mph: 2 of 698 (0.287%) · 65 mph: 2 of 440 (0.455%) · 88 mph: 1 of 603 (0.166%)
Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 to 2020-01-31 · 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: 2020-01-01 through 2020-01-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2020-01-01 through 2020-01-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 8,921
- Total persons involved: 21,557
- Total vehicles involved: 16,860
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: January 2020." Published August 20, 2026. Reporting period: 2020-01-01 to 2020-01-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/january-2020-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: 2020-01-01 – 2020-01-31
Generated: August 20, 2026 · All rights reserved
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