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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · OCTOBER 2021
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-2021-report
Monthly Traffic Safety Analysis
10,099 CRASHES IN
CONNECTICUT, CT
OCTOBER 2021
In October 2021, Connecticut recorded 10,099 total traffic crashes, a 22.5% increase from the 8,247 crashes in October 2020. This rise was accompanied by a 26.1% increase in fatalities, from 23 to 29, and a 13.8% increase in injuries, from 3,000 to 3,413. The most significant shift was the overall surge in crash volume across the state compared to the same period in the prior year.
10,099
▲ 22.5%was 8,247
Total Crash Events
29
▲ 26.1%was 23
Persons Killed
3,413
▲ 13.8%was 3,000
Persons Injured
1,241
▲ 4.8%was 1,184
Hit-and-Run Crashes
Note: "Persons Killed" (29) counts individual fatalities across all crash events. "Fatal" in the severity table below (28) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic safety trends worsened year-over-year, with significant increases across all major metrics. Total crashes rose by 22.5% from 8,247 to 10,099. Similarly, fatalities increased from 23 to 29, and total injuries climbed from 3,000 to 3,413, indicating a clear upward trend in crash severity and frequency.
1,241
Hit-and-Run Crashes — October 2021
▲ 4.8% vs prior (1,184)
The total number of hit-and-run incidents saw a small increase from 1,184 in October 2020 to 1,241 in October 2021. However, because the overall number of crashes grew substantially more, the hit-and-run rate actually decreased. Hit-and-runs comprised 12.3% of all crashes in the current period, down from 14.4% in the prior year.
Vulnerable Road User Casualties
9
Pedestrians Killed
0
Cyclists Killed
20
Motorists Killed
105
Pedestrians Injured
34
Cyclists Injured
3,274
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained broadly consistent year-over-year. Friday was the peak day for crashes in both October 2021 (1,950 crashes) and October 2020 (1,653 crashes). The peak hour for collisions shifted slightly earlier, from the 4 p.m. hour in the prior period to the 3 p.m. hour in the current period, which saw 841 crashes.
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While absolute numbers rose, the proportional severity of crashes showed a mixed picture. The fatal crash rate edged up slightly from 0.25% to 0.28% year-over-year. However, the overall proportion of crashes involving any level of injury (Fatal, Serious, Minor, or Possible) decreased from 27.8% in October 2020 to 25.1% in October 2021, as crashes with no reported injuries grew from 73.2% to 75.0% of the total.
Severity is per crash event (most severe injury). 28 fatal crash events resulted in 29 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Most severe injury per crash record
Road & Environmental Conditions
Comparing conditions, a higher proportion of crashes in October 2021 occurred on dry roads and in clear weather than in the prior year. Crashes on dry surfaces accounted for 80.5% of the total, up from 74.5%, while crashes in clear weather made up 78.9% of the total, up from 74.0%. This suggests that adverse road and weather conditions were proportionally less prevalent in crashes during the current period compared to the same month in the previous year.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent, with Honda, Toyota, and Ford leading in both periods, reflecting their prevalence on the road. The demographic profile of persons involved in crashes also showed stability. The 26-34 age group was the most represented in both October 2021 (4,212 persons) and October 2020 (3,463 persons), with their share of the total remaining steady at approximately 17%.
Top Vehicle Makes (19,045 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records
1,574 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (22,961 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events
Speed Limit Zones
Year-over-year, there was a significant increase in crashes occurring in higher speed zones. Crashes on roads with a 55 mph speed limit increased from 725 to 1,137, and collisions in 65 mph zones rose from 359 to 669. Fatal crashes also shifted, with notable increases in 40 mph zones (from 5 to 5 crashes, but with 5 fatalities in the current period vs. 5 in the prior) and 45 mph zones (4 fatalities vs. 1), while fatalities in 65 mph zones dropped from 3 to 0.
Fatal crashes by zone: 1 mph: 2 of 1,142 (0.175%) · 25 mph: 3 of 2,743 (0.109%) · 30 mph: 5 of 832 (0.601%) · 35 mph: 1 of 1,197 (0.084%) · 40 mph: 5 of 594 (0.842%) · 45 mph: 4 of 378 (1.058%) · 50 mph: 2 of 313 (0.639%) · 55 mph: 5 of 1,137 (0.44%)
Source: Connecticut Crash Data · Csv Open Data · 2021-10-01 to 2021-10-31 · 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: 2021-10-01 through 2021-10-31
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-10-01 through 2021-10-31 (31 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 10,099
- Total persons involved: 24,596
- Total vehicles involved: 19,045
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 2021." Published August 20, 2026. Reporting period: 2021-10-01 to 2021-10-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/october-2021-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: 2021-10-01 – 2021-10-31
Generated: August 20, 2026 · All rights reserved
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