Accidental Drug Related Deaths

The dataset contains detailed records of accidental drug-related deaths in Connecticut from 2012 to 2022. It includes demographic information such as age, sex, and race, along with location details like city and state of residence, injury, and death. The data also documents the substances involved (e.g., fentanyl, heroin, cocaine) and the manner and cause of death, providing insights into patterns of drug use and overdose. Additionally, it captures injury descriptions, highlighting methods like ingestion or injection. This dataset serves as a critical resource for analyzing trends, identifying at-risk groups, and informing public health strategies to address the ongoing drug crisis.

This dashboard provides a comprehensive analysis of accidental drug-related deaths in Connecticut from 2012 to 2022. Key highlights include:

• Demographics: Male deaths significantly outnumber female deaths, indicating gender disparities in drug-related fatalities.
• Geographic Trends: Hartford reports the highest death count among cities, followed by New Haven and Waterbury, pointing to specific geographic hotspots for interventions.
• Substance Involvement: Fentanyl is the leading cause of death with 4,545 related fatalities, highlighting its critical role in the ongoing drug crisis. Heroin and cocaine also contribute substantially to fatalities.
• Causes of Death: Acute fentanyl intoxication is the most prevalent cause, followed by acute heroin intoxication and heroin toxicity, underscoring the lethality of these substances.
• Age Distribution: Deaths are concentrated among individuals aged 30–60, suggesting targeted outreach efforts should focus on this age demographic.
• Race Analysis: Most deaths occur among White individuals (87.14%), with smaller proportions affecting other racial groups, which may reflect population distributions or access to substances.
• Descriptions of Injury: Substance abuse accounts for most injury descriptions, further emphasizing the link between abuse and fatal outcomes.

This dashboard effectively identifies key patterns in drug-related fatalities, providing actionable insights for public health interventions and policy development.