These Dashboards aim to address regional disparities in health and lifestyle indicators in India and the U.S. Feel Free to hover over the different visualizations and play with the filters availabe in each dashboard to choose and compare the regions or indicators of your interest.
-Chethana
US County-wise Health Indicators Dashboard
Focus:
- Analyzed health and environmental metrics across 42 counties in 10 states in the U.S., providing insights into disparities and correlations among critical health outcomes.
Metrics Analyzed
- Obesity Rates: Percentage of adults classified as obese.
- Excessive Drinking: Rates of alcohol consumption beyond healthy limits.
- Physical Inactivity: Percentage of adults reporting no physical activity.
- Poor or Fair Health: Self-reported health status of adults.
- Severe Housing Problems: Housing issues impacting quality of life, including overcrowding and affordability.
- Food Environment Index: Accessibility to healthy food options.
Key Visualizations
- Bar Charts:
- Display detailed comparisons of all six metrics across counties like Apache, Cochise, Coconino, Gila, and Graham in Arizona.
- Highlight disparities in housing, physical inactivity, and access to exercise.
- Dual-Axis Line Chart:
- Compares the Food Environment Index (blue) with Poor or Fair Health (orange) across all 42 counties.
- Reveals correlations between food accessibility and reported health status.
Key Insights
- Counties with a lower Food Environment Index often report higher percentages of poor or fair health, as seen in areas like Apache and Gadsden.
- Severe Housing Problems are notably high in counties such as Cochise and Gila, impacting overall well-being.
A 3 Dashboards Story on Health Trends USA and India.
This story integrates three dashboards, providing a cohesive analysis of health indicators across the U.S. counties and Indian states. The aim was to narrate insights derived from key metrics in a structured format.
- Dashboard 1: Comparative Analysis of India and the U.S.
- Focused on disparities in lifestyle, substance abuse, and housing conditions.
- Comparative insights between Pima County (U.S.), Mumbai City (Urban India), and Bengaluru Rural (Rural India).
- Dashboard 2: Women’s Health and Literacy
- Highlighted the urban-rural divide in literacy, hygiene, and health conditions for women in Mumbai City and Bengaluru Rural.
- Dashboard 3: U.S. Health Trends
- Analyzed physical inactivity, obesity, and mental health metrics across multiple U.S. counties.
- Demonstrated relationships between physical inactivity and poor health through innovative visuals like heat maps and trend lines.
Key Findings
- U.S. Health Trends:
- Counties with higher physical inactivity rates (e.g., Gadsden at 43%) also exhibited higher obesity rates.
- Mental health issues, such as the average number of mentally unhealthy days, exceeded physical health concerns in many counties.
- Indian Health Trends:
- Bengaluru Rural showed higher smoking and drinking rates than Mumbai City but reported fewer severe housing problems.
- Mumbai City’s higher literacy rates correlated with better overall health indicators among women.
- Comparative Analysis:
- Pima County had the highest diabetes prevalence (12.8%) compared to Mumbai City (9.2%) and Bengaluru Rural (8.4%).
- Severe housing problems were far more prevalent in Pima (17.36%) than in Mumbai (9.04%) or Bengaluru Rural (4.98%).
