This dataset was generated by parsing PDFs released by the US Treasury for foreign exchange. An edited version (quarterly-edited.csv) includes fixes for typos in the Treasury data.

Usage caveats from the documentation:

"Exceptions to using the reporting rates as shown in the report are: * collections and refunds to be valued at specified rates set by international agreements, * conversions of one foreign currency into another, * foreign currencies sold for dollars, and * other types of transactions affecting dollar appropriations. (See Volume I Treasury Financial Manual 2-3200 for further details.)

Since the exchange rates in this report are not current rates of exchange, they should not be used to value transactions affecting dollar appropriations."

Additional caveats:

This unified dataset should be used only for reference or ballpark estimation, and not for anything like automated valuation. The reason is because there's still a lot of messiness involving countries and changing units- when in doubt or if required, please do additional research to confirm the historical rates are indeed as stated.

Future plans:

• Clean this up so that it can indeed be used in an automated system for converting currencies
• Fill in the missing entries
• Standardize country names and currency names

Documentation

Source

A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to ***, whereas analysts suspected it should be around ** given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at **** percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.

Number of U.S. Dollars per domestic currency unit for currencies used in Pacific Island Countries and Territories. Monthly and yearly values for end-of-period and period-average exchange rates since 1950 are based on data from IMF International Financial Statistics.

Find more Pacific data on PDH.stat.

One United States dollar was worth over ****** Indonesian rupiah in May 2024, the highest value in a comparison of over 50 different currencies worldwide. All countries and territories shown here are based on the Big Mac Index - a measurement of how much a single Big Mac is worth across different areas in the world. This exchange rate comparison reveals a strong position of the dollar in Asia and Latin America. Note, though, that several of the top currencies shown here do not rank among the most traded. The quarterly U.S. dollar exchange rate against the ten biggest forex currencies only contains the Korean won and the Japanese yen.

The H.10 weekly release contains daily rates of exchange of major currencies against the U.S. dollar. The data are noon buying rates in New York for cable transfers payable in the listed currencies. The rates have been certified by the Federal Reserve Bank of New York for customs purposes as required by section 522 of the amended Tariff Act of 1930.

Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Ouaddai, Salamat, Wadi Fira, Sila, Ennedi Est, Batha, Tibesti, Logone Oriental, Logone Occidental, Guera, Hadjer Lamis, Lac, Mayo Kebbi Est, Chari Baguirmi, Ennedi Ouest, Borkou, Tandjile, Mandoul, Moyen Chari, Mayo Kebbi Ouest, Kanem, Barh El Gazal, Ndjaména, Market Average

As of August 1, 2023, one U.S. dollar could buy 21,021.7 Sierra Leonean leones (SLL), the highest exchange rate among the African currencies. Furthermore, one U.S. dollar corresponded to 758.9 Nigerian naira (NGN), 30.85 Egyptian pounds (EGP), 18.03 South African rand (ZAR), and 9.86 Moroccan dirhams (MAD) as of the same date.

Exchange rates and inflation: a case study of West African countries

Exchange rates can affect a country's inflation rate and the purchasing power of its currency. If a country's currency depreciates significantly, it can lead to higher inflation as the cost of imported goods and services increases. Indeed, the inflation rate in Sierra Leone increased steeply over the past two years. The IMF further estimates that inflation will continue to rise before falling again. This high inflation and other factors also led to the depreciation of the SLL. Furthermore, a regional perspective showed that Nigeria and Liberia faced similar high inflation rates.

Businesses' strategies for tackling inflation

Unfavorable exchange rates negatively impact countries' economies. It does this in various ways, including limiting businesses' ability to grow. Issues such as inflation affect purchasing power and businesses' investment decisions. In 2023, a survey revealed that a substantial number of micro, small, and medium enterprises (MSMEs) employed various measures to offset the impact of inflation. Approximately 36 percent of these businesses tapped into their personal savings to bolster their operations, while another 32 percent opted to scale down their business activities.

Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Cordillera Administrative region, Region XIII, Region VI, Region V, Region III, Autonomous region in Muslim Mindanao, Region IV-A, Region VIII, Region VII, Region X, Region II, Region IV-B, Region XII, Region XI, Region I, National Capital region, Region IX, Market Average

Daily bulletin time series available since 2/1/2002, for the Euro, and since 28/11/1984, for the other currencies. For the American Dollar, this data set shows administered rates until March, 1990 and free rates from then on (Resolution 1690/1990). Administered rates are those set by the Central Bank of Brazil; from March, 1992, this rate started being called Ptax rate (close). Until 30/6/2011, this rate was calculated as the average rate, weighed by volume, of all interbank operations traded on that day. Starting on 1/7/2011 (Circular 3506/2010), the Ptax rate calculation corresponds to the arithmetic average of four daily quotes provided by Central Bank of Brazil’s foreign exchange dealers; the quotes must reflect market conditions at that time. Parities of the other currencies against the American Dollar (USD) are obtained from information agencies. Currencies rates against the Brazilian currency are calculated dividing the Brazilian currency rate against the American Dollar by the parities against the American Dollar for type A currencies, and multiplying the Brazilian currency rate against the American Dollar by the parities against the American Dollar for type B currencies. Available currencies: Danish Krone (DKK) Type A Norwegian Krone (NOK) Type A Swedish Krona (SEK) Type A American Dollar (USD) Type A Australian Dollar (AUD) Type B Canadian Dollar (CAD) Type A Euro (EUR) Type B Swiss Franc (CHF) Type A Japanese Yen (JPY) Type A British Pound (GBP) Type B Unit of measure: Type A currencies: Parity (American Dollar): quantity in the currency per one unit of American Dollar (USD); Rates (Brazilian currency): quantity in the Brazilian currency per one unit of the currency Type B currencies: Parity (American Dollar): quantity in American Dollars (USD) per one unit of the currency; Rates (Brazilian currency): quantity in the Brazilian currency per one unit of the currency Example of how to calculate type A currencies rates in the Brazilian currency, considering the Real (BRL) as the domestic currency and the Canadian Dollar (CAD) as the foreign currency: CADBRL bid rate = USDBRL bid rate ÷ USDCAD offer parity CADBRL offer rate = USDBRL offer rate ÷ USDCAD bid parity Example of how to calculate type B currencies rates in the Brazilian currency, considering the Real (BRL) as the domestic currency and the Euro (EUR) as the foreign currency: EURBRL bid rate = EURUSD bid parity × USDBRL bid rate EURBRL offer rate = EURUSD offer parity × USDBRL offer rate Source: Refinitiv, except for USDBRL The Central Bank assumes no responsibility whatsoever for non-simultaneity or any lack of information, as well as for possible errors in currency parities or any other errors, except the parity of the United States dollar in relation to the Real. The institution also assumes no responsibilty for delays or the unavailability of telecommunications services, interruptions, failures or imprecisions in the providing of the services or information. The Central Bank likewise assumes no responsibility for any losses or damages consequent upon such interruptions, delays, failings or imperfections, as well as for the inadequate use of the information contained in the transaction. af829095-9d8c-4c1d-a77f-48e4d51f7a71 exchange-rates-daily-bulletins

The Global Currency Historical Prices Dataset provides a comprehensive collection of historical data for multiple currencies from around the world. This dataset includes daily open, high, low, and closing prices for each currency. The dataset is updated regularly to include the latest available data.

The dataset includes historical data for a variety of currencies, such as the US dollar, the Euro, the Japanese yen, the British pound, the Canadian dollar, the Swiss franc, the Australian dollar, and many others. This dataset covers a broad range of currencies and includes data from various countries, making it a valuable resource for anyone interested in analyzing global currency trends and patterns.

The data is provided in a user-friendly format, making it easy to download and use. The dataset includes data on currency prices for each day, as well as additional data such as currency exchange rates and volume data. The data is presented in a CSV format, making it compatible with most data analysis and machine learning tools.

This dataset is ideal for researchers, financial analysts, traders, and anyone interested in studying the historical trends and patterns of global currency prices. It can be used for a variety of purposes, such as developing trading strategies, backtesting models, and creating machine learning models for predicting future currency prices.

Overall, the Global Currencies Historical Prices Dataset is a valuable resource for anyone looking to analyze the historical trends and patterns of global currency prices. It provides comprehensive data on multiple currencies from various countries, making it an excellent tool for financial analysis and research.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for New Zealand (CCRETT01NZQ661N) from Q1 1970 to Q1 2025 about New Zealand, exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, and price.

The G.5 monthly release contains monthly average rates of exchange of major currencies against the U.S. dollar. Averages are based on daily noon buying rates for cable transfers in New York City certified for customs purposes by the Federal Reserve Bank of New York.

Gain exclusive access to specialist Foreign Exchange (FX) data, and the tools to manage trading analysis, risk and operations with LSEG's FX Pricing Data.

This table contains 45 series, with data for years 1950 - 2015 (not all combinations necessarily have data for all years), and was last released on 2016-01-05. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Type of currency (45 items: United States dollar; noon spot rate; average; Danish krone; noon spot rate; average; French franc; noon spot rate; average; Belgian franc; noon spot rate; average ...).

Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Market Average

Forex daily volume was nearly *** billion U.S. dollars for the USD currency, an amount ***** times higher than for the euro (EUR). The forex - or foreign exchange market - turnover per day is a figure that is not often measured, only once every three years. No figures are available for 2020, for instance. What figures are available, however, indicate that the USD currency far outweighs that of many other currencies all over the world. What is the forex market? The forex market is based on the fluctuations in the value of currency interest rates. For example, the U.S. dollar performs differently against other major currencies. If one can properly predict these fluctuations, they can buy a weaker currency with a stronger one. After the currencies rebalance, the original currency will be worth more in terms of the exchange rate, giving the investor a profit. There are many foreign exchange trading services, including many multinational banks which already work in multiple currencies. Other currency trading functions Countries and central banks typically hold foreign currencies. These international reserves help facilitate the transactions in international trade, which is one reason China’s foreign reserves are so high. Countries can buy and sell foreign currencies to maintain a particular exchange rate. This is necessary for currencies which are pegged to another currency, such as the U.S. dollar. However, some countries are accused of exchange rate manipulation to make their exports seem more attractive. Finally, certain currencies are considered safer. Citizens and firms in a country with an unstable currency will buy these currencies to avoid volatility, or even hyperinflation, in their home currency.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for United States (CCRETT01USQ661N) from Q1 1970 to Q1 2025 about exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, price, and USA.

This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Type of currency (27 items: Australian dollar, monthly average; Brazilian real, monthly average; Chinese renminbi, monthly average; European euro, monthly average; ...).

One dollar was worth about ** Mexican pesos in the middle of 2024, which was stronger than other currencies in LATAM. Among the Latin American currencies shown in this graph, the Colombian peso (COP) was found to experience the greatest nominal change in the indicated period, surpassing the mark of ***** Colombian pesos for every U.S. dollar in June 2024.

The DXY exchange rate rose to 97.9584 on July 14, 2025, up 0.11% from the previous session. Over the past month, the United States Dollar has weakened 0.32%, and is down by 6.03% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.