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World Trade iLibrary
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The IMF publishes a range of time series data and they are contained in four statistical databases; International Financial Statistics (IFS), Balance of Payment Statistics (BOP), Direction of Trade Statistics (DOT) and Government Finance Statistics (GFS). The new statistical data interface allows users to search all subscribed databases from a single starting point, without having to know which database has a desired concept. IMF subscribers to the eLibrary Statistics package also have PDF access to the print versions of statistical yearbooks and monthly and quarterly updates.
Balance of Payments (BOP) Database
One of the primary functions of the IMF is to prevent financial crises and assist countries in balance of payments difficulties, and collecting standardized, comparable balance of payments and international investment position (IIP) data is seen as a core task. Composed of international economic transactions data, BOPS delivers critical statistical information that covers:
  • total goods, services, income, and current transfers and economy receives from or provides to the rest of the world
  • capital transfers and changes in each economy's external financial claims and liabilities
  • tables featuring area and world totals of balance of payments and IIP components and aggregates
BOPS contains over 200,000 quarterly and annual time series data. The data include aggregate and detailed information in the form of analytical and standard component presentations for countries. Additional documentation describes the methodologies, compilation practices, and data sources used by individual member countries in compiling their balance of payments and IIP statistics. In addition, BOPS contains data as reported by the balance of payments compiling agencies to the IMF Statistics Dapartment. BOPS is updated monthly.

Link to Sample Reports for Balance of Payments Statistics Database

Link to International Financial Statistics (IFS) Database
Link to Direction of Trade Statistics (DOTS) Database
Link to Government Finance Statistics (GFS) Database