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Yearly Traffic Safety Analysis

21,128 CRASHES IN
CONNECTICUT, CT
2020

All metrics benchmarked against2019

In Hartford County, total vehicle crashes decreased by 26.4%, from 28,710 in 2019 to 21,128 in 2020. Despite this significant reduction in overall collisions, the number of fatalities remained unchanged at 64 for both years. The most notable year-over-year shift was the increase in the fatal crash rate from 0.21 to 0.30 per 100 crashes.

21,128

▼ -26.4%was 28,710

Total Crash Events

Persons Killed

8,186

▼ -20.6%was 10,306

Persons Injured

3,519

▼ -5.7%was 3,733

Hit-and-Run Crashes

Note: "Persons Killed" (64) counts individual fatalities across all crash events. "Fatal" in the severity table below (63) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

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

Trend Summary

Traffic crashes in Hartford County showed a significant downward trend year-over-year, with total collisions falling by 26.4%. The number of injuries also decreased by 20.6%, from 10,306 to 8,186. However, traffic fatalities did not follow this trend, holding steady at 64 deaths in both 2019 and 2020.

3,519

Hit-and-Run Crashes — 2020

▼ -5.7% vs prior (3,733)

The total number of hit-and-run crashes saw a slight decrease from 3,733 in 2019 to 3,519 in 2020. However, as a proportion of all crashes, the hit-and-run rate trended upward significantly. In 2020, hit-and-runs accounted for 16.7% of all incidents, a notable increase from the 13.0% rate recorded in the prior year.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 13↑38.5%

Cyclists Killed

Prior: 0→%

Motorists Killed

Prior: 51↓-11.8%

Other Killed

Prior: 0→0.0%

251

Pedestrians Injured

Prior: 339↓-26.0%

Cyclists Injured

Prior: 112↓-25.9%

7,843

Motorists Injured

Prior: 9,848↓-20.4%

Other Injured

Prior: 7↑28.6%

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

When Crashes Happen

The peak day for crashes remained Friday in both periods, though the volume of crashes on that day declined from 4,801 in 2019 to 3,618 in 2020. A notable shift occurred in the peak hour, which moved two hours earlier from 5 p.m. in 2019 (2,643 crashes) to 3 p.m. in 2020 (1,838 crashes). Crash volumes in 2020 also showed a pronounced dip in April, with 887 incidents, a sharp contrast to the 2,175 crashes recorded in April of the previous year.

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

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

Crash Severity Breakdown

While total crashes declined, the severity of crashes that did occur increased from 2019 to 2020. The fatal crash rate rose from 0.21% to 0.30% of all incidents. The proportion of crashes resulting in serious injuries also grew, increasing from 1.0% in 2019 to 1.5% in 2020. Consequently, the share of crashes involving no injuries decreased from 74.0% to 72.0%.

Severity is per crash event (most severe injury). 63 fatal crash events resulted in 64 persons killed.

Outcome by Severity (Crash Events)

Fatal63fatal crashes0.3%

↑3.3%prior 61

Serious Injury309serious injury crashes1.5%

↑3.7%prior 298

Minor Injury2,654minor injury crashes12.6%

↓-12.5%prior 3,032

Possible Injury2,900possible injury crashes13.7%

↓-28.8%prior 4,072

No Injury15,202no injury crashes72%

↓-28.5%prior 21,247

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

Severity Distribution (Crash Events)

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

Road & Environmental Conditions

The distribution of crashes by environmental conditions remained broadly similar year-over-year, with most incidents occurring in clear weather and on dry roads. In 2020, the proportion of crashes on dry road surfaces increased from 77.3% to 81.7%. Similarly, crashes during clear weather constituted 83.0% of the total, up from 79.0% in 2019. The proportion of crashes in daylight decreased slightly from 69.9% to 66.9%.

Weather

Clear17,529 (83.3%)

↓-22.7%prior 22,681

Rain1,993 (9.5%)

↓-37.1%prior 3,168

Cloudy966 (4.6%)

↓-38.8%prior 1,579

Snow340 (1.6%)

↓-44.4%prior 612

Fog, Smog, Smoke68 (0.3%)

↑13.3%prior 60

Freezing Rain or Freezing Drizzle63 (0.3%)

↓-78.6%prior 295

Blowing Snow35 (0.2%)

↓-51.4%prior 72

Other23 (0.1%)

↓-4.2%prior 24

Severe Crosswinds15 (0.1%)

→0.0%prior 15

Sleet or Hail7 (0.0%)

↓-90.0%prior 70

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

Lighting

Daylight14,124 (67.2%)

↓-29.6%prior 20,062

Dark-Lighted5,276 (25.1%)

↓-18.9%prior 6,503

Dark-Not Lighted881 (4.2%)

↓-19.2%prior 1,091

Dusk332 (1.6%)

↓-27.7%prior 459

Dark-Unknown Lighting179 (0.9%)

↑13.3%prior 158

Dawn157 (0.7%)

↓-34.0%prior 238

Other59 (0.3%)

↑47.5%prior 40

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

Road Surface

Dry17,254 (82.0%)

↓-22.3%prior 22,192

Wet3,188 (15.1%)

↓-34.1%prior 4,836

Snow286 (1.4%)

↓-55.2%prior 638

Ice / Frost170 (0.8%)

↓-66.7%prior 511

Slush109 (0.5%)

↓-68.7%prior 348

Other15 (0.1%)

↓-16.7%prior 18

Mud, Dirt, Gravel9 (0.0%)

↓-50.0%prior 18

Standing Water6 (0.0%)

↓-57.1%prior 14

Moving Water4 (0.0%)

Oil1 (0.0%)

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

Vehicles & Demographics

The top vehicle makes involved in crashes, led by Honda and Toyota, remained consistent between 2019 and 2020, with numbers for each make decreasing in line with the overall drop in collisions. The demographic profile of persons involved in crashes also showed stability. The 26-34 age group was the most represented cohort in both years, accounting for 17.2% of persons in 2019 and 17.9% in 2020.

Top Vehicle Makes (39,770 vehicles)

HONDA5,103 (12.8%)

↓-26.8%prior 6,973

TOYOTA4,411 (11.1%)

↓-30.7%prior 6,368

NISSAN3,805 (9.6%)

↓-24.0%prior 5,008

FORD3,473 (8.7%)

↓-28.8%prior 4,876

CHEVROLET2,221 (5.6%)

↓-28.8%prior 3,120

HYUNDAI1,570 (3.9%)

↓-27.2%prior 2,156

SUBARU1,561 (3.9%)

↓-30.9%prior 2,259

JEEP1,371 (3.4%)

↓-27.7%prior 1,897

ACURA1,131 (2.8%)

↓-21.8%prior 1,446

DODGE976 (2.5%)

↓-31.2%prior 1,419

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

5,205 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (47,716 persons with recorded sex)

Male26,985 (56.6%)

↓-28.6%prior 37,780

Female20,731 (43.4%)

↓-34.2%prior 31,526

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

Speed Limit Zones

Crash distribution across speed zones was similar in both periods, with the majority of incidents occurring in 25-35 mph zones. However, the distribution of fatal crashes shifted, with fatalities in 30 mph zones increasing from 12 to 18, making it the deadliest speed zone in 2020. Fatal crashes in 25 mph zones also increased from 6 to 10. In contrast, crashes on roads with a 65 mph speed limit resulted in 10 fatalities in both years.

Fatal crashes by zone: 1 mph: 1 of 1,694 (0.059%) · 25 mph: 10 of 4,672 (0.214%) · 30 mph: 18 of 2,415 (0.745%) · 35 mph: 9 of 3,274 (0.275%) · 40 mph: 7 of 1,576 (0.444%) · 45 mph: 3 of 669 (0.448%) · 50 mph: 2 of 1,307 (0.153%) · 55 mph: 2 of 736 (0.272%) · 65 mph: 10 of 1,341 (0.746%) · 88 mph: 1 of 2,567 (0.039%)

Source: Connecticut Crash Data · Csv Open Data · 2020-01-01 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: 2020-01-01 through 2020-12-31
Report generated: August 21, 2026

Data Coverage

Reporting period: 2020-01-01 through 2020-12-31 (366 days)
Geographic scope: connecticut, CT
Total crash records analyzed: 21,128
Total persons involved: 52,245
Total vehicles involved: 39,770

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: 2020." Published August 21, 2026. Reporting period: 2020-01-01 to 2020-12-31. Data source: Connecticut Crash Data, Csv Open Data. Available at: https://thatcarhitme.com/crash-data/connecticut/statewide/2020-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

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