Explore patterns of lower respiratory infections globally from 2000 to 2019 with this interactive visualization tool. Compare prevalence, incidence, and mortality at multiple spatial scales and years, and search for specific areas to view local trends.
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.
Analyze forecasts and alternative better and worse scenarios from 2017 to 2040 for 250 causes of death, life expectancy, years of life lost (YLLs) as well as risk-attributable deaths and YLLs. Use treemaps, arrow diagrams, decomposition plots, line charts, maps and others to compare across countries and with regions of the world.
Explore local patterns of diarrhea burden across the world from 2000 to 2019 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.
This interactive data visualization tool shows levels and trends in growth failure at birth and in children under 5, both past and projected from 1990 to 2030. Explore results for countries, regions, and the globe alongside the data.
Explore US health care spending for 155 conditions for the years 1996 through 2016. Use the interactive Sankey diagram, treemap, and pyramid chart to analyze trends by age, sex, type of care, condition, and payer. New in Nov 2017: view how different factors drove changes in spending.
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.
With this interactive map, you can explore trends in life expectancy and mortality from 152 causes of death in King County at the census tract level. Use the settings at the top to select a measure (life expectancy, mortality rate, or years of life lost rate), year, cause of death, and sex. Use the time trend menu on the right to explore time trends for specific census tracts.
Who provides funds for health? Who manages the spending? What goods and services are purchased? Who provides which services? Explore allocation of expenditure across time, country, and categories of spending, as reported in National Health Accounts (NHAs).