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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · 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/2022-annual-report
Yearly Traffic Safety Analysis
2,542 CRASHES IN
CONNECTICUT, CT
2022
In 2022, Tolland County recorded 2,542 total crashes, a 4.5% increase from the 2,432 crashes documented in 2021. Despite the rise in total collisions, the number of fatalities saw a significant decrease, falling from 16 in the prior year to 10 in the current period. The total number of injuries also declined from 876 to 807.
2,542
▲ 4.5%was 2,432
Total Crash Events
10
▼ -37.5%was 16
Persons Killed
807
▼ -7.9%was 876
Persons Injured
237
Hit-and-Run Crashes
Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Tolland County show a modest increase in collision volume year-over-year. Total crashes rose by 4.5%, from 2,432 in 2021 to 2,542 in 2022. However, the severity of these crashes lessened, with total injuries decreasing by 7.9% and fatalities dropping by 37.5%.
237
Hit-and-Run Crashes — 2022
▼ 0.0% vs prior (237)
The number of hit-and-run crashes in Tolland County remained unchanged year-over-year, with 237 incidents reported in both 2022 and 2021. Due to the overall increase in total crashes in 2022, the hit-and-run rate saw a slight decrease. The rate fell from 9.7% of all crashes in the prior period to 9.3% in the current period.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
8
Motorists Killed
18
Pedestrians Injured
4
Cyclists Injured
785
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 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 showed some shifts between the two periods. In 2022, the peak day for crashes was Wednesday with 436 incidents, a change from Friday (409 crashes) in the prior year. The peak hour also shifted slightly, moving from 5 p.m. in 2021 (220 crashes) to 4 p.m. in 2022 (224 crashes).
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes in Tolland County decreased from 2021 to 2022. Fatal crashes fell from 16 (0.7% of total) to 9 (0.4% of total). The proportion of crashes resulting in any type of injury (serious, minor, or possible) also declined, from 26.6% in 2021 to 24.1% in 2022. Correspondingly, crashes with no reported injuries increased their share from 72.7% to 75.5% of all incidents.
Severity is per crash event (most severe injury). 9 fatal crash events resulted in 10 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes across environmental conditions remained largely consistent between 2021 and 2022. In both periods, crashes occurred overwhelmingly in clear weather (78.2% in 2022 vs. 80.0% in 2021) and on dry road surfaces (75.5% in 2022 vs. 78.3% in 2021). Similarly, the proportion of crashes happening during daylight hours was nearly identical, at 66.1% in 2022 compared to 66.0% in 2021.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent, with Toyota (462), Ford (454), and Honda (450) leading in 2022, a slight reordering from 2021 when Ford was first. The number of persons involved in crashes from the 16-20 age group decreased from 866 to 815. Conversely, involvement for the 21-25 age group increased from 741 to 797 persons.
Top Vehicle Makes (4,430 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
277 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (5,462 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 35 mph speed zone increased from 605 in 2021 to 662 in 2022, with associated fatalities rising from 1 to 4. Conversely, collisions in the 30 mph zone decreased from 375 to 342, and fatalities in that zone dropped from 3 to 1. While crashes on roads with a 65 mph speed limit rose from 216 to 270, the number of fatal crashes in this zone decreased from 2 to 1. Notably, the 50 mph zone, which had 5 fatal crashes in 2021, had none in 2022.
Fatal crashes by zone: 1 mph: 1 of 167 (0.599%) · 30 mph: 1 of 342 (0.292%) · 35 mph: 4 of 662 (0.604%) · 40 mph: 1 of 319 (0.313%) · 45 mph: 1 of 321 (0.312%) · 65 mph: 1 of 270 (0.37%)
Source: Connecticut Crash Data · Csv Open Data · 2022-01-01 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: 2022-01-01 through 2022-12-31
- Report generated: August 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 2,542
- Total persons involved: 5,872
- Total vehicles involved: 4,430
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: 2022." Published August 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2022-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: 2022-01-01 – 2022-12-31
Generated: August 21, 2026 · All rights reserved
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