Some new research that I’m excited about came out last week: Variation in life expectancy and mortality by cause among neighborhoods in King County, WA, USA, 1990–2014: a census tract-level analysis for the Global Burden of Disease Study 2015. http://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(17)30165-2/fulltext
In some ways, it is very specific to Seattle and the surrounding county: https://vizhub.healthdata.org/subnational/usa/wa/king-county
But it is also a demonstration of the “fractal” nature of population health—the variation between life expectancy from country to country around the world is big! But it is around as big as the variation between life expectancy from county to county around the United States. And what this work shows is that even in the county where I live, the life expectancy varies between census tracts almost as much as from county to county or country to country. Inequality is happening at all scales.
Here is the data: http://ghdx.healthdata.org/record/united-states-king-county-washington-life-expectancy-and-cause-specific-mortality-census
Healthy Algorithms 