Data Visualizations

Explore local patterns of HIV prevalence from 2000 to 2017 with this interactive visualization tool. 

See how China is progressing toward Millennium Development Goal 4 and 5 (MDG 4/5) at the subnational level by exploring and comparing province and county trends for under-5 mortality rates and maternal mortality ratio in China in the past two decades.

With this tool, users can explore progress made toward achieving the United Nations Sustainable Development Goals (SDGs). Measure progress made by 195 countries and territories from 1990 to 2017 and projecting attainment to 2030 toward 41 health-related indicators. See how countries have progressed over time. Share and download figures for later use.

Explore local patterns of diarrhea burden across Africa from 2000 to 2015 with this interactive visualization tool. Compare diarrheal prevalence, incidence, and mortality at multiple spatial scales – from values at the country level to estimates for individual districts and departments. Search for specific areas to view local trends, and share your findings with others. Observe temporal patterns of improvement, and examine the probability of achieving the WHO Global Action Plan for Pneumonia and Diarrhea (GAPPD) goals. 

With this interactive map, you can explore health trends in the United States at the county level for both sexes for cancer, 21 major causes of death, life expectancy, alcohol, smoking, hypertension, obesity, physical activity, and diabetes.

Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks and explore patterns and trends by age and sex. Drill from a national view into specific details. Compare expected and observed trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.

With this interactive mapping tool, explore local assessments of where in Africa specific infectious diseases (Ebola virus disease, Marburg virus disease, Lassa fever, and Crimean-Congo hemorrhagic fever) have the greatest potential to emerge and subsequently spread. 

This interactive data visualization tool shows modeled trends in smoking prevalence worldwide and by country for the years 1980 to 2015. Data were derived from nationally representative sources that measured tobacco use.

With multiple view options, the Nigeria Health Map data visualization tool drills down to state-level gains and challenges for a number of health interventions and outcomes. Results currently reflect trends from 2000 to 2013 and primarily focus on high-priority maternal and child health indicators in Nigeria.