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Monthly Traffic Safety Analysis

7,478 CRASHES IN
CONNECTICUT, CT
NOVEMBER 2020

All metrics benchmarked againstNovember 2019

In November 2020, Connecticut recorded 7,478 total vehicle crashes, a 23.2% decrease from the 9,738 crashes reported in November 2019. Despite this significant drop in overall collisions, the number of fatalities more than doubled, rising from 16 to 35 year-over-year. This sharp increase in fatalities, coupled with a higher fatal crash rate, represents the most notable shift in the data.

7,478

-23.2%was 9,738

Total Crash Events

35

118.8%was 16

Persons Killed

2,601

-15.7%was 3,087

Persons Injured

1,065

-6.7%was 1,142

Hit-and-Run Crashes

Note: "Persons Killed" (35) counts individual fatalities across all crash events. "Fatal" in the severity table below (33) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend shows a significant year-over-year decrease in the total number of crashes and injuries. Total crashes fell by 23.2% from 9,738 to 7,478, and injuries declined by 15.7% from 3,087 to 2,601. In stark contrast, fatalities increased by 118.8%, from 16 in November 2019 to 35 in November 2020, indicating that collisions became substantially more lethal.

1,065

Hit-and-Run Crashes — November 2020

-6.7% vs prior (1,142)

The total number of hit-and-run crashes saw a slight decrease from 1,142 in November 2019 to 1,065 in November 2020. However, due to the larger overall drop in total crashes, the hit-and-run rate trended upward. Hit-and-runs constituted 14.2% of all crashes in the current period, an increase from the 11.7% rate recorded in the prior year.

Vulnerable Road User Casualties

9

Pedestrians Killed

Prior: 728.6%

1

Cyclists Killed

Prior: 0%

25

Motorists Killed

Prior: 9177.8%

111

Pedestrians Injured

Prior: 125-11.2%

22

Cyclists Injured

Prior: 28-21.4%

2,468

Motorists Injured

Prior: 2,933-15.9%

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak hour for crashes remained consistent at the 5 p.m. hour for both November 2019 and November 2020, although the volume of crashes during this hour decreased from 1,129 to 766. A notable shift occurred in the peak day of the week for crashes, moving from Friday (1,993 crashes) in the prior year to Monday (1,310 crashes) in the current period. Overall crash counts were lower across nearly all days and hours in November 2020 compared to the previous year.

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity worsened significantly in November 2020 compared to the prior year. The number of fatal crashes more than doubled from 16 to 33, and the fatal crash rate increased from 0.16% to 0.44%. The count of serious injury crashes also rose from 74 to 111, with their proportion of total crashes increasing from 0.8% to 1.5%. Consequently, the share of crashes with no reported injuries fell from 76.8% to 74.0%.

Severity is per crash event (most severe injury). 33 fatal crash events resulted in 35 persons killed.

Outcome by Severity (Crash Events)

Fatal33fatal crashes0.4%
106.3%prior 16
Serious Injury111serious injury crashes1.5%
50.0%prior 74
Minor Injury815minor injury crashes10.9%
-2.4%prior 835
Possible Injury983possible injury crashes13.1%
-26.4%prior 1,336
No Injury5,536no injury crashes74%
-26.0%prior 7,477

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Most severe injury per crash record

Road & Environmental Conditions

In November 2020, a greater proportion of crashes occurred in adverse conditions compared to the same month in 2019. The share of crashes on wet road surfaces increased from 14.4% to 21.2% year-over-year. Similarly, collisions during rainy weather constituted 15.1% of all crashes, up from 9.5% in the prior period. The percentage of crashes occurring in daylight decreased slightly from 56.1% to 54.1%.

Weather

Clear5,902 (79.3%)
-27.0%prior 8,080
Rain1,130 (15.2%)
21.6%prior 929
Cloudy324 (4.4%)
-44.6%prior 585
Fog, Smog, Smoke39 (0.5%)
680.0%prior 5
Freezing Rain or Freezing Drizzle15 (0.2%)
-63.4%prior 41
Severe Crosswinds12 (0.2%)
9.1%prior 11
Other9 (0.1%)
12.5%prior 8
Blowing Snow3 (0.0%)
Snow3 (0.0%)
-85.0%prior 20
Sleet or Hail2 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Weather condition at time of crash

Lighting

Daylight4,047 (54.5%)
-25.9%prior 5,462
Dark-Lighted2,387 (32.2%)
-20.4%prior 2,998
Dark-Not Lighted715 (9.6%)
-19.4%prior 887
Dusk142 (1.9%)
-7.8%prior 154
Dark-Unknown Lighting71 (1.0%)
-17.4%prior 86
Dawn44 (0.6%)
10.0%prior 40
Other15 (0.2%)
-11.8%prior 17

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Lighting condition field

Road Surface

Dry5,799 (78.0%)
-29.5%prior 8,224
Wet1,583 (21.3%)
12.8%prior 1,403
Ice / Frost16 (0.2%)
-40.7%prior 27
Standing Water14 (0.2%)
Other8 (0.1%)
33.3%prior 6
Moving Water6 (0.1%)
Mud, Dirt, Gravel4 (0.1%)
-20.0%prior 5
Slush1 (0.0%)
-85.7%prior 7
Oil1 (0.0%)

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Road surface condition field

Vehicles & Demographics

The top five vehicle makes involved in crashes—Honda, Toyota, Nissan, Ford, and Chevrolet—remained the same in November 2020 as in November 2019, though the counts for each make decreased in line with the overall reduction in crashes. The age distribution of persons involved in crashes was also largely consistent, with the 26-34 age group being the most represented in both periods. There was a minor proportional increase in the involvement of the 55-64 and 65+ age groups in the current period.

Top Vehicle Makes (13,842 vehicles)

1
HONDA1,500 (10.8%)
-25.4%prior 2,012
2
TOYOTA1,290 (9.3%)
-28.9%prior 1,814
3
NISSAN1,199 (8.7%)
-18.0%prior 1,462
4
FORD1,196 (8.6%)
-27.8%prior 1,656
5
CHEVROLET802 (5.8%)
-27.3%prior 1,103
6
JEEP569 (4.1%)
-26.6%prior 775
7
SUBARU530 (3.8%)
-31.1%prior 769
8
HYUNDAI514 (3.7%)
-25.3%prior 688
9
DODGE331 (2.4%)
-28.0%prior 460
10
KIA274 (2%)
-19.2%prior 339

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Vehicle unit records

1,365 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (15,987 persons with recorded sex)

Male9,249 (57.9%)
-24.8%prior 12,294
Female6,738 (42.1%)
-33.8%prior 10,181

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · Person-level records linked to crash events

Speed Limit Zones

While total crashes decreased across most speed zones, fatal crashes saw a notable shift toward higher-speed roads. In November 2020, crashes in 55 mph zones resulted in 9 fatalities, a sharp rise from 2 fatalities in November 2019, even as total crashes in that zone dropped from 909 to 609. Fatalities in 25 mph zones also increased from 3 to 5, despite a decrease in total crashes in that zone from 2,927 to 2,275.

Fatal crashes by zone: 1 mph: 1 of 861 (0.116%) · 25 mph: 5 of 2,275 (0.22%) · 30 mph: 5 of 639 (0.782%) · 35 mph: 3 of 927 (0.324%) · 40 mph: 3 of 447 (0.671%) · 45 mph: 3 of 279 (1.075%) · 55 mph: 9 of 609 (1.478%) · 65 mph: 3 of 414 (0.725%)

Source: Connecticut Crash Data · Csv Open Data · 2020-11-01 to 2020-11-30 · 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: 2020-11-01 through 2020-11-30
  • Report generated: August 20, 2026

Data Coverage

  • Reporting period: 2020-11-01 through 2020-11-30 (30 days)
  • Geographic scope: connecticut, CT
  • Total crash records analyzed: 7,478
  • Total persons involved: 17,351
  • Total vehicles involved: 13,842

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: November 2020." Published August 20, 2026. Reporting period: 2020-11-01 to 2020-11-30. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/november-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

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