Data

Inequality in wealth, earnings, and disposable income

About this data

Source
Fochesato and Bowles, Wang and Caminada, and OECD (2017)processed by Our World in Data
Last updated
May 6, 2019
Date range
2000–2000

Sources and processing

Fochesato and Bowles, Wang and Caminada, and OECD – Wealth inequality from prehistory to the present: data, sources and methods

Retrieved on
May 6, 2019
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Mattia Fochesato and Samuel Bowles. 2013. 'Wealth Inequality from Prehistory to the Present: Data, Sources and Methods.' Dynamics of Wealth Inequality Project, Behavioral Sciences Program, Santa Fe Institute; Mattia Fochesato and Samuel Bowles. 2017. 'Technology, Institutions and Wealth Inequality in the Very Long Run'. Santa Fe Institute; Chen Wang and Koen Caminada. 2011. 'Leiden Budget Incidence Fiscal Redistribution Dataset'. Version 1. Leiden Department of Economics Research; OECD Stat.
Retrieved on
May 6, 2019
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Mattia Fochesato and Samuel Bowles. 2013. 'Wealth Inequality from Prehistory to the Present: Data, Sources and Methods.' Dynamics of Wealth Inequality Project, Behavioral Sciences Program, Santa Fe Institute; Mattia Fochesato and Samuel Bowles. 2017. 'Technology, Institutions and Wealth Inequality in the Very Long Run'. Santa Fe Institute; Chen Wang and Koen Caminada. 2011. 'Leiden Budget Incidence Fiscal Redistribution Dataset'. Version 1. Leiden Department of Economics Research; OECD Stat.

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

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How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Inequality in wealth, earnings, and disposable income”. Our World in Data (2026). Data adapted from Fochesato and Bowles, Wang and Caminada, and OECD. Retrieved from https://archive.ourworldindata.org/20260513-060106/grapher/inequality-in-wealth-earnings-and-disposable-income-us-sweden-and-japan-2000s.html [online resource] (archived on May 13, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Fochesato and Bowles, Wang and Caminada, and OECD (2017) – processed by Our World in Data

Full citation

Fochesato and Bowles, Wang and Caminada, and OECD (2017) – processed by Our World in Data. “Inequality in wealth, earnings, and disposable income” [dataset]. Fochesato and Bowles, Wang and Caminada, and OECD, “Wealth inequality from prehistory to the present: data, sources and methods” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260513-060106/grapher/inequality-in-wealth-earnings-and-disposable-income-us-sweden-and-japan-2000s.html (archived on May 13, 2026).

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