This paper describes the country, euro area, and world tables that provide measures of effective exchange rates, compiled by the IMF’s Research Department, Statistics Department, and area departments. A nominal effective exchange rate index represents the ratio of an index of a currency’s period-average exchange rate to a weighted geometric average of exchange rates for the currencies of selected countries and the euro area. A real effective exchange rate index represents a nominal effective exchange rate index adjusted for relative movements in national price or cost indicators of the home country, selected countries, and the euro area. For ease of comparison between the nominal effective exchange rate index and the real effective exchange rate index, the average exchange rate expressed in terms of US dollars per unit of each of the national currencies is also given in the index form, base 2010 = 100.

This paper discusses the complete set of updated country notes is accessible from the IFS Online Service internet site (in the Metadata tab), and appear on the DVD-ROM edition of IFS under the Publications tab. A print edition of Country Notes may be ordered separately by subscribers of the DVD-ROM. The sources for the unit labor cost data are the OECD Analytical Database (quarterly unit labor cost in manufacturing) and IMF staff (annual data interpolated into higher frequencies). Euro area unit labor cost is used as a proxy for a number of economies for which data are unavailable: Cyprus, Czech Republic, Estonia, Latvia, Lithuania, Malta, and Slovak Republic. For manufactured goods, trade by type of good and market is distinguished in the database. For primary products, the weights assigned depend principally on a country’s role as a global supplier or buyer of the product. Trade in crude petroleum, petroleum, and other energy products are excluded. For some countries that heavily depend on tourism, bilateral exports of tourism services averaged over 2004–2006 are also included in calculating the competitiveness weights.

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

International Financial Statistics, Database & Browser, December 2018

This monthly issue of International Financial Statistics (IFS) contains country tables for most IMF members, as well as for Anguilla, Aruba, the Central African Economic and Monetary Community, Curaçao, the currency union of Curaçao and Sint Maarten, the Eastern Caribbean Currency Union, the euro area, Montserrat, the former Netherlands Antilles, Sint Maarten, the West African Economic Monetary Union, West Bank and Gaza, and some non-sovereign territorial entities for which statistics are provided internationally on a separate basis. Exchange rates in IFS are classified into three broad categories, reflecting the role of the authorities in determining the rates and/or the multiplicity of the exchange rates in a country. The three categories are the market rate, describing an exchange rate determined largely by market forces; the official rate, describing an exchange rate determined by the authorities—sometimes in a flexible manner; and the principal, secondary, or tertiary rate, for countries maintaining multiple exchange arrangements.

International Financial Statistics, Database & Browser, August 2018

International Financial Statistics, July 2018