Scaling of Urban Income Inequality in the United States
Elisa Heinrich Mora, Jacob J. Jackson, Cate Heine, Geoffrey B. West,, Vicky Chuqiao Yang, Christopher P. Kempes

TL;DR
This study uses urban scaling analysis to reveal that income inequality increases with city size, with the wealthy benefiting disproportionately, highlighting the need for models that account for heterogeneity in urban interactions.
Contribution
It introduces a novel method analyzing income distribution percentiles to study scaling, revealing differential scaling behaviors across income deciles.
Findings
Income in the lowest decile scales nearly linearly with city size.
Income in the top decile scales superlinearly, indicating increasing inequality.
Income distribution shape shifts with city size, with higher moments increasing.
Abstract
Urban scaling analysis, the study of how aggregated urban features vary with the population of an urban area, provides a promising framework for discovering commonalities across cities and uncovering dynamics shared by cities across time and space. Here, we use the urban scaling framework to study an important, but under-explored feature in this community - income inequality. We propose a new method to study the scaling of income distributions by analyzing total income scaling in population percentiles. We show that income in the least wealthy decile (10%) scales close to linearly with city population, while income in the most wealthy decile scale with a significantly superlinear exponent. In contrast to the superlinear scaling of total income with city population, this decile scaling illustrates that the benefits of larger cities are increasingly unequally distributed. For the poorest…
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Taxonomy
TopicsIncome, Poverty, and Inequality · Urban, Neighborhood, and Segregation Studies · Complex Systems and Time Series Analysis
