Data Visualizations

IHME strives to make its data freely and easily accessible and to provide innovate ways to visualize complex topics. Our data visualizations allow you to see patterns and follow trends that are not readily apparent in the numbers themselves. Here you can watch how trends in mortality change over time, choose countries to compare progress in a variety of health areas, or see how countries compare against each other on a global map.

Highest and lowest life expectancy by county and sex (US), 1989-2009

With this interactive tool, view the highest and lowest life expectancies by county, sex, and black or white race.

Life expectancy by county and sex (US) with country comparison (Global), 1989, 1999, 2009

With this interactive map, explore life expectancy in US counties in 1989, 1999, and 2009 compared to the rest of the world.

Life expectancy by county and sex (US), 1989-2009

With this interactive map, explore trends in life expectancy in the United States between 1989 and 2009.

Deaths due to malaria by age and country mapped over time (Global), 1980-2010

With this interactive map, explore trends in global malaria mortality between 1980 and 2010.

Deaths due to malaria by age, region, country, and year (Global), 1980-2010

With this interactive tool, explore trends in global malaria mortality between 1980 and 2010.

Development assistance for health disbursements by channel and recipient country (Global), 1990-2009

Watch as the funding patterns for development assistance for health (DAH) worldwide evolve between 1990 and 2009.

Development assistance for health by channel of assistance (Global), 1990-2011

Track the changing trends in development assistance for health (DAH) from 1990 to 2011.

Development assistance for health by health focus area (Global), 1990-2009, interactive treemap

Track the changing trends in development assistance for health (DAH) by health focus area from 1990 to 2009.

Development assistance for health by channel of assistance (Global), 1990-2011, interactive treemap

Track the changing trends in development assistance for health (DAH) from 1990 to 2011.

Cause of Death trends for the United States and Australia, 1970-2006

One way to measure the success of a country's health system is to analyze the probability that a 15-year-old in that country will die before reaching age 60 if mortality trends in that country remained the same.

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