Explore patterns of global health financing flows from 1990 to 2015. View trends in development assistance for health (DAH) with interactive bar charts, maps, and scatterplots. Explore DAH levels and changes over time by source, channel, recipient region, and health focus area. 2015 Innovation: Breakdown by program within health focus areas.
Analyze updated data about the world’s health levels and trends from 1990 to 2015 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks within a country, compare countries with regions or the world, and explore patterns and trends by country, age, and gender. Drill from a global 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.
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 revamped Mortality visualization. See source and comparative data and step through the stages in the estimation process to reveal the final mortality estimates from 1970 to 2015.
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 200 causes in both adjusted and pre-adjusted numbers, rates, and percentages for 195 countries and territories.
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.
With this tool, users can explore progress made toward achieving the United Nations Sustainable Development Goals (SDGs). Measure progress made by 188 countries from 1990–2015 toward 33 health-related indicators, such as mortality rate due to road injuries, prevalence of intimate partner violence among women, maternal mortality ratio, and incidence rate of new HIV cases. See how countries have progressed over time. Share and download figures for later use.
This interactive map allows you to explore areas across Africa that are environmentally suitable for Ebola virus disease. Using advanced geospatial techniques, this map estimates down to a 5 km x 5 km area how conducive the environment is for the zoonotic transmission of Ebola virus disease, indicating areas where index cases could arise.
See how China is progressing toward Millennium Development Goal 4 (MDG 4) at the subnational level by exploring and comparing province and county trends for under-5 mortality rates in China between 1996 and 2012 (counties) or 2013 (provinces). Chinese and English language options are available in this visualization tool.
Created for The Journal of the American Medical Association, this interactive data visualization tool shows estimated trends in HIV/AIDS death, incidence, and prevalence worldwide and by country for the years 1990 to 2013.
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.
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).
The Social Determinants of Health visualization tool allows you to explore the relationships between social determinants and health indicators across countries. This first release presents educational attainment for people over the age of 15 for the years 1970 to 2015 by country, year, sex, and age group. Age-standardized and population-weighted estimates are included for females aged 15 to 44 years and for both sexes for the age group 25+. Additional determinants and indicators will be added to the tool in subsequent releases.