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United States Drug Mortality and Census Data
Data Science and Analytics
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About
Opioid overdose deaths in the United States represent a significant public health crisis, necessitating a multi-dimensional analysis of the underlying causes. This dataset aggregates mortality statistics from the CDC's Injury Center and combines them with socio-economic indicators from the United States Census Bureau. By merging overdose death trends with state-level features—such as population density, income levels, poverty rates, and economic inequality—the data enables researchers to analyse correlations between economic distress and health outcomes. It serves as a vital resource for understanding how demographic factors may influence the trajectory of the epidemic across different regions.
Columns
- State: The name of the US State.
- State Abbreviation: The two-letter code representing the State.
- Age-adjusted Rate (2013-2019): Annual overdose death rates per 100,000 population, available for each year from 2013 to 2019.
- Number of Deaths (2013-2019): Total count of recorded overdose deaths per state for each year from 2013 to 2019.
- 2019 Poverty rate: The percentage of persons living in poverty.
- Gini coefficient of income inequality: A statistical measure of economic inequality within the state.
- GDP per capita 2021: The economic output per person.
- GDP (nominal in millions of USD) 2021: The total gross domestic product for the state.
- Urban population as a percentage of the total population in 2010: A metric indicating the level of urbanisation.
- Population density per km²: The number of residents per square kilometre.
- Population: Total number of residents in the state.
- Land Area (km²): The total physical area of the state in square kilometres.
Distribution
The dataset is provided in a tabular CSV format (CDC Injury Center Drug Overdose Deaths.csv) with a file size of approximately 7.63 kB. It consists of 51 records, covering the 50 United States and the District of Columbia. The structure includes 24 columns, ensuring a wide range of variables without missing values or mismatched data types across the state identifiers.
Usage
- Public Health Analysis: Identifying regions with the highest growth in overdose rates to target intervention strategies.
- Socio-Economic Correlation: Investigating links between economic inequality (Gini coefficient), poverty rates, and drug-related mortality.
- Predictive Modelling: Using historical trend data and demographic features to forecast future public health risks.
- Demographic Studies: Examining how urbanisation and population density interact with the spread of the epidemic.
- Educational Projects: Serving as an accessible, clean dataset for beginners to practise data science techniques and visualisation.
Coverage
The geographic scope encompasses the entire United States, providing data for all 50 states plus the District of Columbia. Temporally, the overdose mortality data spans seven years, from 2013 to 2019. The demographic and economic indicators are drawn from various relevant census years, including 2010 for urban population metrics and 2021 for GDP figures, offering a robust contextual backdrop for the mortality statistics.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For performing regression analysis and feature importance studies.
- Public Health Researchers: To monitor trends and evaluate the severity of the crisis regionally.
- Economists: To analyse the relationship between state-level economic performance and social health metrics.
- Policy Makers: To inform resource allocation based on data-driven insights.
- Students: As a high-quality, beginner-friendly dataset for learning data manipulation and visualisation.
Dataset Name Suggestions
- US Opioid Epidemic and Demographics 2013-2019
- CDC Overdose Deaths and Socio-Economic Indicators
- United States Drug Mortality and Census Data
- State-Level Opioid Crisis and Economic Factors
- US Vital Statistics: Overdoses and Inequality
Attributes
Original Data Source: United States Drug Mortality and Census Data
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