Full Citation

Title: Visualizing Income Distribution in the United States

Citation Type: Working Paper

Publication Year: 2020

ISBN:

ISSN:

DOI: 10.2139/ssrn.3691696

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Abstract: Visit research.depauw.edu/econ/incomevis to see a novel, eye-catching visual display of the income distribution in the United States that conveys fundamental information about the evolution and current level of income inequality to a wide audience. We use IPUMS CPS data to create household income deciles adjusted for price level and household size for each of the 50 states and the District of Columbia from 1976 to 2018. We adjust for state price differences from 2008 to 2018. Plotting these data gives a 3D chart that provides a startling picture of income differences within and across states over time. Those interested in further customization can use our Python visualization toolbox, incomevis, available at pypi.org/project/incomevis

Url: https://papers.ssrn.com/abstract=3691696

Url: http://dx.doi.org/10.2139/ssrn.3691696

User Submitted?: No

Authors: Barreto, Humberto; Truong, Sang

Series Title: SSRN Working Paper Series

Publication Number: 3691696

Institution:

Pages: 1-8

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Data Collections: IPUMS CPS

Topics: Labor Force and Occupational Structure

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