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The Hanke-Krus Hyperinflation Table

Published by Kirke Sööt in category Financial news on 01.10.2012
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The Hanke-Krus Hyperinflation Table


 


Source: Steve H. Hanke and Nicholas Krus (2012) “World Hyperinflations”, Cato Working Paper no. 8, August 15. Forthcoming in: Randall Parker and Robert
Whaples (eds.) (2013) The Handbook of Major Events in Economic History, London: Routledge Publishing. (expected publication date: Summer 2013).


Notes:
– When a country experiences periods of hyperinflation that are broken up by 12 or more consecutive months with a monthly inflation rate below 50%, the periods are
defined as separate episodes of hyperinflation.
– The currency listed in the chart is the one that, in a particular location, is associated with the highest monthly rate of inflation. The currency may not have been the
only one that was in circulation, in that location, during the episode.
– We are aware of one other case of hyperinflation: North Korea. We reached this conclusion after calculating inflation rates using data from the foreign exchange black
market, and also by observing changes in the price of rice. Based on our estimates, this episode of hyperinflation most likely occurred from December 2009 to mid-
January 2011. Using black-market exchange-rate data, and calculations based on purchasing power parity, we determined that the North Korean hyperinflation peaked
in early March 2010, with a monthly rate of 496% (implying a 6.13% daily inflation rate and a price-doubling time of 11.8 days). When we used rice price data, we
calculated the peak month to be mid-January 2010, with a monthly rate of 348% (implying a 5.12% daily inflation rate and a price-doubling time of 14.1 days). All of
these data were obtained August 13, 2012 from Daily NK, an online newspaper that focuses on issues relating to North Korea
(
http://www.dailynk.com/english/market.php). We also acknowledge that our investigation was aided by reports from Good Friends USA, a Korean-American advocacy
and research organization, as well as from Marcus Noland at the Peterson Institute for International Economics.
(*) The authors calculated Zimbabwe’s inflation rate, from August to November 2008, using changes in the price of the stock, Old Mutual, which was traded both on the
Harare and London stock exchanges. The stock prices yielded an implied exchange rate for Zimbabwe dollars, under purchasing power parity.
(†) The Republika Srpska is a Serb-majority, semi-autonomous entity within Bosnia and Herzegovina. From 1992 until early 1994, the National Bank of Republika
Srpska issued its own unique currency, the Republika Srpska dinar.
(‡) Greece’s inflation rate was estimated by calculating the drachma / gold sovereign exchange rate.
(§) The peak monthly inflation rate listed for China in the table differs from that presented in one of the authors’ previous pieces on hyperinflation (Hanke and Kwok,
2009). This revision is based on new data from a number of sources, which were recently obtained from the Library of Congress in Washington, D.C.
(**) We calculated the Free City of Danzig’s inflation rate using German inflation data, since the German papiermark was in circulation in Danzig during this time. It is
worth noting that Germany and Danzig experienced different peak months of hyperinflation. This is case because the last full month in which the German papiermark
circulated in the Free City of Danzig was September 1923. Germany continued to circulate the papiermark beyond this point, and subsequently experienced its peak
month of hyperinflation (October 1923).
(††) The data for many of the post-Soviet countries were only available in the World Bank’s Statistical Handbook: States of the Former USSR. In this publication, the
authors stated that the data should be viewed with an extra degree of caution because the statistics were taken from the corresponding official internal government
source and not independently reviewed by the World Bank. However, these statistics are official and are the only source of data available for the corresponding time
periods for each country.


 

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