Author(s):	Andrew K Rose
Publication Date:	September 2005
Keyword(s):	distribution, empirical, Gibrat, growth, logarithm, mean, rank, size, Zipf
JEL(s):	F00, R12
Programme Areas:	International Macroeconomics, International Trade and Regional Economics
Link to this Page:	cepr.org/active/publications/discussion_papers/dp.php?dpno=5235

If one ranks cities by population, the rank of a city is inversely related to its size, a well-documented phenomenon known as Zipf's Law. Further, the growth rate of a city's population is uncorrelated with its size, another well-known characteristic known as Gibrat's Law. In this paper, I show that both characteristics are true of countries as well as cities; the size distributions of cities and countries are similar. But theories that explain the size-distribution of cities do not obviously apply in explaining the size-distribution of countries. The similarity of city- and country-size distributions is an interesting riddle.