China: 2,000 Years of Income and Population Growth

This graph shows the dramatic change in China's population and GDP per capita (especially in the last 200 years). Compare this to the graph of the World that I created earlier.

Data estimates for population and GDP per capita are from Angus Maddison Emeritus Professor, Faculty of Economics, University of Groningen. 1990 international Geary-Khamis dollars are purchasing power parities (PPPs) used to evaluate output which are calculated based on international prices. See United Nations Statistics Division for more information their computation.

Last 2,000 years of growth in world income and population (REVISED)

After posting a graph of world population and GDP per capita for the last 2 thousand years, I went back and simplified the design based on the feedback I received.

The previous version used color to show a change in GDP per capita and included grid lines which I removed. Also in the new graph, I added the United States GDP per Capita for select years as a comparison.

Data estimates for population and GDP per capita are from Angus Maddison Emeritus Professor, Faculty of Economics, University of Groningen. 1990 international Geary-Khamis dollars are purchasing power parities (PPPs) used to evaluate output which are calculated based on international prices. See United Nations Statistics Division for more information their computation.

Two Thousand Years of Growth: World Income & Population

Ever wonder what the last 2 thousand years of economic growth looked like? The graph below was created using estimates of world population and GDP per capita going back 2 thousand years. (The circle size and color change as GDP per capita increases.) 

Data estimates for population and GDP per capita are from Angus Maddison Emeritus Professor, Faculty of Economics, University of Groningen. 1990 international Geary-Khamis dollars are purchasing power parities (PPPs) used to evaluate output which are calculated based on international prices. See United Nations Statistics Division for more information their computation.