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ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CONNECTICUT, CT · SEPTEMBER 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/september-2021-report
Monthly Traffic Safety Analysis
9,446 CRASHES IN
CONNECTICUT, CT
SEPTEMBER 2021
In September 2021, Connecticut recorded 9,446 total traffic crashes, a 29.7% increase from the 7,283 crashes reported in September 2020. This rise in crash volume was accompanied by a 23.2% increase in injuries and a 17.4% increase in fatalities. The most notable year-over-year shift was this substantial overall growth in crash incidents across the state.
9,446
▲ 29.7%was 7,283
Total Crash Events
27
▲ 17.4%was 23
Persons Killed
3,246
▲ 23.2%was 2,635
Persons Injured
1,187
▲ 11.4%was 1,066
Hit-and-Run Crashes
Note: "Persons Killed" (27) counts individual fatalities across all crash events. "Fatal" in the severity table below (25) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Connecticut showed a significant upward trend in September 2021 compared to the same month in the prior year. Total crashes increased by 2,163 incidents, representing a 29.7% rise. This trend extended to crash outcomes, with total injuries climbing by 23.2% from 2,635 to 3,246, and total fatalities increasing from 23 to 27.
1,187
Hit-and-Run Crashes — September 2021
▲ 11.4% vs prior (1,066)
The absolute number of hit-and-run crashes increased from 1,066 in September 2020 to 1,187 in September 2021. However, due to the larger overall increase in total crashes, the hit-and-run rate actually decreased. Hit-and-run incidents accounted for 12.6% of all crashes in the current period, down from 14.6% in the prior year, indicating a downward trend in the proportion of crashes involving a fleeing driver.
Vulnerable Road User Casualties
7
Pedestrians Killed
1
Cyclists Killed
19
Motorists Killed
112
Pedestrians Injured
41
Cyclists Injured
3,093
Motorists Injured
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · 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, with Wednesday being the peak day for crashes in both September 2021 (1,706 crashes) and September 2020 (1,200 crashes). However, the peak hour for collisions shifted slightly later, moving from the 3 PM hour in 2020 (628 crashes) to the 4 PM hour in 2021 (821 crashes). Crash volumes during morning and afternoon commute periods were substantially higher in 2021, reflecting the overall increase in traffic incidents.
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash date field aggregated by weekday
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the absolute number of fatal crashes increased from 22 to 25, the fatal crash rate per 100 crashes saw a slight decrease from 0.30 in September 2020 to 0.26 in September 2021. The proportion of crashes resulting in any level of injury (Serious, Minor, or Possible) also decreased modestly, from 26.6% of all crashes in the prior period to 24.8% in the current period. This suggests that while total crashes rose, the likelihood of a given crash resulting in an injury or fatality was slightly lower.
Severity is per crash event (most severe injury). 25 fatal crash events resulted in 27 persons killed.
Outcome by Severity (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in both periods occurred in clear weather on dry roads. However, September 2021 saw a notable increase in the proportion of crashes under adverse conditions compared to the previous year. Crashes during rain increased from 7.0% of the total in 2020 to 12.2% in 2021, and incidents on wet roads rose from 9.1% to 15.5% of all crashes. The share of crashes happening in daylight conditions increased slightly from 71.5% to 73.6% year-over-year.
Weather
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Weather condition at time of crash
Lighting
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Lighting condition field
Road Surface
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent, with Honda, Toyota, and Ford leading in both September 2021 and September 2020. The total number of vehicles involved in crashes grew from 13,700 to 17,968, reflecting the overall increase in incidents. The age distribution of persons involved in crashes also showed a stable pattern, with no significant shifts in the proportional representation of any specific age group between the two periods.
Top Vehicle Makes (17,968 vehicles)
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Vehicle unit records
1,518 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (21,585 persons with recorded sex)
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes increased across nearly all posted speed limit zones in September 2021 compared to the prior year. There was a substantial rise in incidents in higher speed zones; crashes in 55 mph zones increased from 569 to 1,034, and those in 65 mph zones rose from 305 to 540. While crashes in 25 mph zones also increased from 2,291 to 2,711, the number of fatal crashes in that specific zone decreased from 6 to 4.
Fatal crashes by zone: 20 mph: 1 of 52 (1.923%) · 25 mph: 4 of 2,711 (0.148%) · 30 mph: 3 of 762 (0.394%) · 35 mph: 5 of 1,150 (0.435%) · 40 mph: 4 of 501 (0.798%) · 45 mph: 1 of 304 (0.329%) · 55 mph: 3 of 1,034 (0.29%) · 65 mph: 4 of 540 (0.741%)
Source: Connecticut Crash Data · Csv Open Data · 2021-09-01 to 2021-09-30 · 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: 2021-09-01 through 2021-09-30
- Report generated: August 20, 2026
Data Coverage
- Reporting period: 2021-09-01 through 2021-09-30 (30 days)
- Geographic scope: connecticut, CT
- Total crash records analyzed: 9,446
- Total persons involved: 23,143
- Total vehicles involved: 17,968
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: September 2021." Published August 20, 2026. Reporting period: 2021-09-01 to 2021-09-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/september-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: 2021-09-01 – 2021-09-30
Generated: August 20, 2026 · All rights reserved
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