Likewise, it gives numbers of years lost to pollution for every district of India for a span of 18 years between 1998 and 2016.
What makes AQLI unique is that it converts pollution into perhaps the most important metric that exists — life expectancy. It does so at a hyper-local level throughout the world.
Further, it illustrates how air pollution policies can increase life expectancy when they meet the World Health Organization’s (WHO) guideline, existing national air quality standards, or user-defined air quality levels.
This information helps informing local communities and policymakers about the importance of air pollution policies in very concrete terms.
Loss of life expectancy is highest in Asia, exceeding six years in many parts of India and China; some residents of the US still lose up to a year of life from pollution.
Fossil fuel-driven particulate air pollution cuts global average life expectancy by 1.8 years per person, according to the pollution index and accompanying report produced by the EPIC.
“Around the world today, people are breathing air that represents a serious risk to their health. But the way this risk is communicated is very often opaque and confusing, translating air pollution concentrations into colors, like red, brown, orange, and green. What those colors mean for people’s wellbeing has always been unclear,” Michael Greenstone, the Milton Friedman Professor in Economics and Director of the EPIC, said.
Greenstone also noted: “My colleagues and I developed the AQLI, where the ‘L’ stands for ‘life’ to address these shortcomings. It takes particulate air pollution concentrations and converts them into perhaps the most important metric that exists, life expectancy.”
The AQLI is based on a pair of peer-reviewed studies co-authored by Greenstone that quantify the causal relationship between long-term human exposure to particulate pollution and life expectancy.