The UC Atlas of Global Inequality
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The Atlas of Global Inequality explores some aspects of inequality using online, downloadable maps and graphics. All these materials can be used freely providing they are attributed to the UC Atlas of Global Inequality.

Global income inequality is probably greater now than it has ever been in human history. Currently, the richest 1 % of people in the world receives as much as the bottom 57 %. There is some debate about whether the inequality gap on a global scale is increasing or decreasing. (Special to this Atlas is a review, by Robert Wade of LSE, of one recent contribution to the debate). By one estimate, the ratio between the average income of the top 5% in the world to the bottom 5% increased from 78 to 1 in 1988 to 114 to 1 in 1993 (Milanovic 1999). But other aspects of global inequality, notably gaps in life expectancy and infant mortality, have been declining (except in sub Saharan Africa).

This Atlas has capacities rivaled by few other web sites. Time series maps of the world enable the user to see changes in global patterns of inequality every 10 years from 1960 to 2000. With these map sequences you can examine changes in life expectancy, GDP (Gross Domestic Product) per person, and many other measures. An interactive database enables you to produce tables and graphs showing change in selected indicators for chosen countries and periods. There are links to other sources, a glossary explaining terms, and many other features that help you explore changing patterns of global inequality. Soon, the Atlas will have map-making on demand, and country pages with rapid comparison capabilities, and our database will be expanding as new data sets come our way..

Buttons on the left of this page lead to theme pages where map presentations can be found. The How to use this site button provides an animated guide to the site.

Information about the Atlas, who works on it, the technologies we use, and our plans, can be found in About Us.

Although we are constantly examining a variety of datasets, we have provided information on where the data comes from We also try to draw attention to the limits of our data, including the use of nations as a u nit of analysis, and the use of of Gross National Product data in the Glossary.  

Information about Map Projections

Successful Teaching Activities

Ideas for Teaching and Learning

Online Datasets

University of California, Santa Cruz
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Updated 3/21/03

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