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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · 2025
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/2025-annual-report
Yearly Traffic Safety Analysis
2,202 CRASHES IN
CONNECTICUT, CT
2025
In Windham County, total crashes decreased by 1.5% from 2,236 in the prior year to 2,202 in the current year. While the overall crash volume was stable, the most notable year-over-year shift was a 37.5% increase in traffic fatalities, which rose from 8 to 11.
2,202
▼ -1.5%was 2,236
Total Crash Events
11
▲ 37.5%was 8
Persons Killed
722
▲ 0.1%was 721
Persons Injured
238
▼ -7.8%was 258
Hit-and-Run Crashes
Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend for traffic crashes in Windham County remained relatively stable year-over-year, with total incidents decreasing by a marginal 1.5% from 2,236 to 2,202. The number of injuries was also nearly unchanged, increasing by one from 721 to 722. However, this stability did not extend to crash severity, as the number of fatalities increased from 8 to 11.
238
Hit-and-Run Crashes — 2025
▼ -7.8% vs prior (258)
Hit-and-run incidents trended downward in the current period. The total number of hit-and-run crashes decreased from 258 in the prior year to 238 in the current year. This decline was also reflected in the hit-and-run rate, which fell from 11.5% of all crashes to 10.8%.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
9
Motorists Killed
13
Pedestrians Injured
7
Cyclists Injured
702
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes saw minor shifts between the two periods. The peak day for crashes moved from Friday (360 crashes) in the prior year to Saturday (350 crashes) in the current year. Similarly, the busiest time of day shifted slightly later, with the peak hour moving from 3 p.m. (200 crashes) to 4 p.m. (179 crashes).
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened year-over-year despite a slight drop in total crashes. The number of fatal crashes increased from 8 to 10, and the fatal crash rate rose from 0.36 to 0.45 per 100 crashes. The proportion of crashes involving serious injuries also grew, increasing from 26 incidents (1.2% of total) in the prior year to 38 incidents (1.7% of total) in the current year.
Severity is per crash event (most severe injury). 10 fatal crash events resulted in 11 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes across environmental conditions remained consistent year-over-year, with no significant shifts. In both periods, the majority of crashes occurred in clear weather (80.9% current vs. 78.8% prior) and on dry roads (78.2% current vs. 77.1% prior). Crashes during daylight hours accounted for 66.4% of incidents in the current year, a slight decrease from 68.3% in the prior year.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained similar across both periods, with Ford, Toyota, and Chevrolet being the most common in both years. Ford's involvement saw the largest change among the top makes, decreasing from 516 vehicles in the prior year to 441 in the current year. The age demographics of persons involved in crashes were also stable, with no age group's representation changing by more than a percentage point.
Top Vehicle Makes (3,681 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
203 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,383 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across posted speed limits was largely unchanged between the two periods. For example, zones of 30-35 mph accounted for 637 crashes in the current year, compared to 618 in the prior year. The location of fatal crashes shifted within these zones; fatal crashes in 45 mph zones increased from one to three, while those in 40 mph zones decreased from three to one.
Fatal crashes by zone: 30 mph: 2 of 283 (0.707%) · 35 mph: 1 of 354 (0.282%) · 40 mph: 1 of 193 (0.518%) · 45 mph: 3 of 270 (1.111%) · 50 mph: 2 of 53 (3.774%)
Source: Connecticut Crash Data · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 2,202
- Total persons involved: 4,788
- Total vehicles involved: 3,681
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: 2025." Published August 20, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2025-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: 2025-01-01 – 2025-12-31
Generated: August 20, 2026 · All rights reserved
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