Explore local patterns of HIV prevalence from 2000 to 2017 with this interactive visualization tool.
Explore patterns of global health financing flows from 1990 to 2050 in an updated tool. View trends in global health spending with interactive bar charts, maps, and line graphs. For the first time, see malaria spending estimates for endemic countries from 2000 to 2016, as well as estimates of China’s DAH disbursements.
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.
Analyze updated data about the world’s health levels and trends from 1990 to 2017 in this interactive tool using estimates from the Global Burden of Disease (GBD) study. Compare causes and risks within a country (now at the US state-level), compare countries with regions or the world, and explore patterns and trends by country, age, and gender.
How do input data become GBD estimates? Walk through the estimation process for mortality trends for children and adults for 195 countries and territories using the Mortality visualization. See source and comparative data and step through the stages in the estimation process to reveal the final mortality estimates from 1950 to 2017.
Where do we have the best data on different health conditions? For any age group, see where various data sources have placed trends in causes of death over time. You can examine more than 250 causes in both adjusted and pre-adjusted numbers, rates, and percentages for 195 countries and territories.
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 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 visualization, explore local patterns in educational attainment across 51 African countries from 2000 to 2015. Compare how years of education vary between men and women and across two different age groups. Observe trends at multiple spatial scales and search to view trends in specific countries and local areas.
With this dynamic map visualization tool, explore local patterns in child stunting, wasting, and underweight within 51 African countries from 2000 to 2015. Observe trends at multiple spatial scales and search to view trends in specific countries and local areas.
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.
Explore US health care spending for 155 conditions for the years 1996 through 2013. Use the interactive Sankey diagram, treemap, and pyramid chart to analyze trends by age, sex, type of care, and condition. 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 mapping tool, explore localized child and infant mortality trends within 46 countries in Africa from 2000 to 2015. View trends at different spatial resolutions and examine change over time and the improvement rates needed to achieve the United Nations Sustainable Development Goal for child mortality. Search to view trends in specific countries, districts, and local areas. Easily share maps with others.
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.
The Social Determinants of Health visualization tool allows you to explore the relationships between determinants of health and health indicators across countries. This second release of the tool presents antenatal care visits, skilled birth attendance, measles and DPT3 immunization coverage, lag distributed income, and educational attainment. Users can visualize the relationships between these determinants and life expectancy, disability-adjusted life years (DALYs) by cause, years lived with disability (YLDs) by cause, and causes of death. Additional determinants and indicators will be added to the tool in subsequent releases.
How did life expectancy and probability of death change between 1990 and 2015 in 195 countries? Examine changes in life expectancy and see how causes contributed to changes in life expectancy. Explore the probability of death by cause, location, sex, and year. Analyze healthy life expectancy (HALE) by sex, location, and year.