SponsoredThatCarHitMe.com

If you're a data point in this report, call us.

We'll evaluate whether you have a case. Free, and no pressure.

(888) 988-8341Free for accident victims

Monthly Traffic Safety Analysis

8,141 CRASHES IN
CONNECTICUT, CT
DECEMBER 2020

All metrics benchmarked againstDecember 2019

In December 2020, Connecticut recorded 8,141 total vehicle crashes, a 25.4% decrease from the 10,906 crashes in December 2019. Despite the significant drop in overall collisions, the number of fatalities increased by 53.3%, rising from 15 to 23 year-over-year. This increase in deaths, coupled with a higher fatal crash rate, marks the most notable shift in the data.

8,141

▼ -25.4%was 10,906

Total Crash Events

▲ 53.3%was 15

Persons Killed

2,464

▼ -26.0%was 3,328

Persons Injured

1,088

▼ -9.3%was 1,199

Hit-and-Run Crashes

Note: "Persons Killed" (23) counts individual fatalities across all crash events. "Fatal" in the severity table below (21) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic safety metrics showed a mixed trend year-over-year. Total crashes fell by 25.4% from 10,906 to 8,141, and total injuries saw a similar decline of 26.0%, from 3,328 to 2,464. In contrast, total fatalities rose from 15 in December 2019 to 23 in December 2020, an increase of 53.3%.

1,088

Hit-and-Run Crashes — December 2020

▼ -9.3% vs prior (1,199)

The absolute number of hit-and-run crashes decreased from 1,199 in December 2019 to 1,088 in December 2020. However, because total crashes declined at a greater rate, the hit-and-run rate trended upward. Hit-and-runs constituted 13.4% of all crashes in the current period, an increase from the 11.0% rate observed in the prior year.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 5↑60.0%

Cyclists Killed

Prior: 1↓-100.0%

Motorists Killed

Prior: 9↑66.7%

Pedestrians Injured

Prior: 152↓-42.8%

Cyclists Injured

Prior: 9↓-66.7%

2,374

Motorists Injured

Prior: 3,166↓-25.0%

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. The peak day for crashes moved from Monday (2,087 crashes) in the prior year to Wednesday (1,316 crashes) in the current period. The peak hour for collisions remained consistent at 5 p.m., though the volume of crashes during this hour decreased from 1,105 to 735, in line with the overall reduction in crashes.

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes increased year-over-year despite a lower total volume. The fatal crash rate per 100 crashes doubled, rising from 0.13 in December 2019 to 0.26 in December 2020. The proportion of crashes involving a fatality grew from 0.1% to 0.3% of all incidents, while serious injury crashes also increased as a share of the total, from 0.8% to 1.0%.

Severity is per crash event (most severe injury). 21 fatal crash events resulted in 23 persons killed.

Outcome by Severity (Crash Events)

Fatal21fatal crashes0.3%

↑50.0%prior 14

Serious Injury78serious injury crashes1%

↓-8.2%prior 85

Minor Injury793minor injury crashes9.7%

↓-18.2%prior 970

Possible Injury965possible injury crashes11.9%

↓-31.9%prior 1,418

No Injury6,284no injury crashes77.2%

↓-25.4%prior 8,419

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Compared to the prior year, a larger proportion of crashes in December 2020 occurred under favorable conditions. Crashes in clear weather made up 75.3% of the total, an increase from 65.3% in December 2019. Similarly, the share of crashes on dry road surfaces rose from 59.3% to 65.2% year-over-year, while the proportion of crashes in rain and on wet surfaces decreased.

Weather

Clear6,127 (75.8%)

↓-13.9%prior 7,118

Rain658 (8.1%)

↓-57.1%prior 1,533

Snow535 (6.6%)

↓-31.3%prior 779

Cloudy444 (5.5%)

↓-27.5%prior 612

Blowing Snow109 (1.3%)

↓-13.5%prior 126

Freezing Rain or Freezing Drizzle100 (1.2%)

↓-79.7%prior 492

Fog, Smog, Smoke91 (1.1%)

↑333.3%prior 21

Other16 (0.2%)

↑60.0%prior 10

Sleet or Hail8 (0.1%)

↓-94.9%prior 157

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight4,445 (55.0%)

↓-20.2%prior 5,573

Dark-Lighted2,651 (32.8%)

↓-28.3%prior 3,696

Dark-Not Lighted681 (8.4%)

↓-40.2%prior 1,138

Dusk140 (1.7%)

↓-38.9%prior 229

Dark-Unknown Lighting69 (0.9%)

↓-19.8%prior 86

Dawn68 (0.8%)

↓-25.3%prior 91

Other21 (0.3%)

↑61.5%prior 13

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry5,310 (65.6%)

↓-17.9%prior 6,469

Wet1,516 (18.7%)

↓-39.3%prior 2,499

Snow638 (7.9%)

↓-8.7%prior 699

Ice / Frost345 (4.3%)

↓-48.9%prior 675

Slush242 (3.0%)

↓-47.4%prior 460

Other13 (0.2%)

↑44.4%prior 9

Standing Water11 (0.1%)

↑57.1%prior 7

Moving Water10 (0.1%)

↑100.0%prior 5

Mud, Dirt, Gravel6 (0.1%)

↓-14.3%prior 7

Sand6 (0.1%)

↓-73.9%prior 23

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Road surface condition field

Vehicles & Demographics

The demographic data for vehicles and persons involved in crashes remained stable year-over-year. The top three vehicle makes involved in collisions were Honda, Toyota, and Ford in both periods, with their numbers decreasing proportionally to the overall drop in crashes. The age distribution of all persons involved also showed no significant shifts, with all age groups maintaining a similar share of involvement compared to the previous year.

Top Vehicle Makes (15,032 vehicles)

HONDA1,620 (10.8%)

↓-25.2%prior 2,166

TOYOTA1,472 (9.8%)

↓-30.6%prior 2,120

FORD1,363 (9.1%)

↓-23.7%prior 1,787

NISSAN1,211 (8.1%)

↓-27.5%prior 1,671

CHEVROLET917 (6.1%)

↓-18.6%prior 1,127

JEEP669 (4.5%)

↓-22.8%prior 867

SUBARU639 (4.3%)

↓-28.0%prior 888

HYUNDAI590 (3.9%)

↓-13.9%prior 685

DODGE355 (2.4%)

↓-24.1%prior 468

ACURA317 (2.1%)

↓-9.9%prior 352

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

1,390 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (17,275 persons with recorded sex)

Male9,956 (57.6%)

↓-26.2%prior 13,499

Female7,319 (42.4%)

↓-32.1%prior 10,780

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · Person-level records linked to crash events

Speed Limit Zones

While crashes decreased across all speed zones, the rate of fatal crashes increased in several key areas. In zones posted at 40 mph, the fatal crash rate rose from 0.15 to 0.61 per 100 crashes. Additionally, zones with a 65 mph speed limit recorded two fatal crashes in December 2020, whereas none were recorded in the same zones in December 2019.

Fatal crashes by zone: 1 mph: 1 of 971 (0.103%) · 25 mph: 5 of 2,513 (0.199%) · 30 mph: 3 of 718 (0.418%) · 35 mph: 3 of 985 (0.305%) · 40 mph: 3 of 494 (0.607%) · 45 mph: 2 of 320 (0.625%) · 50 mph: 1 of 188 (0.532%) · 55 mph: 1 of 569 (0.176%) · 65 mph: 2 of 421 (0.475%)

Source: Connecticut Crash Data · Csv Open Data · 2020-12-01 to 2020-12-31 · 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: 2020-12-01 through 2020-12-31
Report generated: August 20, 2026

Data Coverage

Reporting period: 2020-12-01 through 2020-12-31 (31 days)
Geographic scope: connecticut, CT
Total crash records analyzed: 8,141
Total persons involved: 18,667
Total vehicles involved: 15,032

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: December 2020." Published August 20, 2026. Reporting period: 2020-12-01 to 2020-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/december-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

ThatCarHitMe.com · An Injuria.ai Company