About this Dataset

Effective Exchange Rate (EER)

The Effective Exchange Rate (EER) dataset includes annual, quarterly and monthly nominal and real effective exchange rates by economy. Nominal effective exchange rates (NEERs) measure the value of a country's currency in relation to a weighted average of the currency values of their major trading partners. Real effective exchange rates (REERs) adjust the NEER to account for a country's inflation rate in relation to the weighted inflation rate of their major trading partners.

The IMF publishes NEERs and REERs for approximately 90 IMF member countries that account for the vast share of global international trade. These statistics help policymakers and analysts assess the competitiveness of a country's exports, monitor currency trends, evaluate the impact of exchange rate changes on trade flows, and inform decisions regarding monetary policy, exchange rate management, and international trade.

The EERs are calculated by IMF staff using exchange rate information, consumer price indexes received from national authorities and international trade weights. These weights are calculated as three-year averages of annual data available from official sources on trade, tourism and manufacturing collected from the United Nations (UN), Organization for Economic Co-operation and Development (OECD), World Bank, World Tourism Organization (UNWTO), United Nations Industrial Development Organization (UNIDO).

Keywords: NEER,REER,CPI.

Last updated: 2025-10-21T05:51:38.077001500Z.

Tables

CodeList CL COUNTRY

@imf.eer.codes_cl_country

4.08 kB
100 rows
2 columns

CREATE TABLE codes_cl_country (
  "code" VARCHAR,
  "description" VARCHAR
);

CodeList CL FREQ

@imf.eer.codes_cl_freq

2.21 kB
3 rows
2 columns

CREATE TABLE codes_cl_freq (
  "code" VARCHAR,
  "description" VARCHAR
);

Indicators

@imf.eer.indicators

5.34 kB
13 rows
6 columns

CREATE TABLE indicators (
  "indicator" VARCHAR,
  "series_name" VARCHAR,
  "unit" VARCHAR,
  "transformation" VARCHAR,
  "http_www_w3_org_2001_xmlschema_instance_type" VARCHAR,
  "keywords" VARCHAR
);

Observations

@imf.eer.observations

1.45 MB
140,252 rows
5 columns

CREATE TABLE observations (
  "country" VARCHAR,
  "indicator" VARCHAR,
  "frequency" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);