The overall picture is worrying. The wealthiest cities in the U.S. are now almost seven times richer than the poorest regions, a disparity that has almost doubled since 1960.
Mapping inequality allows us to measure wealth locally, where we built precise models of household wealth, applying sophisticated machine learning techniques to data from the Federal Reserve's survey of consumer finances.
Using GEOWEALTH-US, we show that the wealth distribution across the U.S. has transformed since 1960. Inequality, especially in urban coastal areas, is higher than it has ever been.
Wealth is defined as the difference between the value of a household's assets and its liabilities, reflecting a household's 'net worth' that highlights the divide across communities.
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