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Our World in Data (OWID) is a scientific online publication that focuses on large global problems such as poverty, disease, hunger, climate change, war, existential risks, and inequality. It is a project of the Global Change Data Lab, a registered charity in England and Wales, [ 3 ] and was founded by Max Roser , a social historian and ...
"Inside the World Bank's new inequality indicator: The number of countries with high inequality". World Bank. {}: CS1 maint: multiple names: authors list ; Global Peace Index Map of Gini data for 2007–2010; Shadow economies all over the world : new estimates for 162 countries from 1999 to 2007. Friedrich Schneider, Andreas Buehn, Claudio E ...
The limits of our personal experience and the value of statistics – Our World in Data The map we need if we want to think about how global living conditions are changing – Our World in Data Income inequality: poverty falling faster than ever but the 1% are racing ahead – The Guardian
Income inequality metrics or income distribution metrics are used by social scientists to measure the distribution of income and economic inequality among the participants in a particular economy, such as that of a specific country or of the world in general.
The GDP data is based on data from the World Bank. [3] The population data is based on data from the UN. [4] The Wealth Gini coefficients from 2008 are based on a working paper published by the National Bureau of Economic Research. [5] The Wealth Gini numbers for 2018, 2019, and 2021 come from the Global Wealth Databook by Credit Suisse. [6] [7 ...
The data processing inequality is an information theoretic concept that states that the information content of a signal cannot be increased via a local physical operation. This can be expressed concisely as 'post-processing cannot increase information'.
In this case, the number of people counted as poor could increase while their income rises. There are several different income inequality metrics; one example is the Gini coefficient. Although absolute poverty is more common in developing countries, poverty and inequality exist across the world.
Metabolomics is a very data heavy subject, and often involves sifting through massive amounts of irrelevant data before finding any conclusions. Data mining has allowed this relatively new field of medical research to grow considerably within the last decade, and will likely be the method of which new research is found within the subject. [28]