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.

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 DXY exchange rate rose to 96.9135 on July 1, 2025, up 0.04% from the previous session. Over the past month, the United States Dollar has weakened 1.82%, and is down by 8.30% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) (TWEXM) from 1973-01-03 to 2020-01-01 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

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: North, South, Artibonite, Centre, South-East, Grande'Anse, North-East, West, North-West, Market Average

The EUR/USD exchange rate was unchanged at 1.1786 on July 1, 2025. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 3.02%, and is up by 9.66% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Exchange Rates (Value of Foreign Currency Relative to U.S. Dollar) in Belgium (DISCONTINUED) (BELFXUS) from 1950 to 2011 about Belgium, exchange rate, currency, rate, and USA.

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

Graph and download economic data for Currency Conversions: US Dollar Exchange Rate: Spot, End of Period: USD: National Currency for Germany (CCUSSP01DEQ650N) from Q1 1960 to Q4 2023 about Germany, exchange rate, currency, and rate.

One dollar was worth about 18 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 3,900 Colombian pesos for every U.S. dollar in June 2024.

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

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.

Foreign Exchange Rate: Bank of Russia: Dual-Currency Basket: US Dollar & Euro data was reported at 84.795 RUB in 15 May 2025. This records an increase from the previous number of 84.666 RUB for 14 May 2025. Foreign Exchange Rate: Bank of Russia: Dual-Currency Basket: US Dollar & Euro data is updated daily, averaging 66.905 RUB from Feb 2005 (Median) to 15 May 2025, with 5059 observations. The data reached an all-time high of 126.039 RUB in 11 Mar 2022 and a record low of 32.976 RUB in 02 Aug 2011. Foreign Exchange Rate: Bank of Russia: Dual-Currency Basket: US Dollar & Euro data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under High Frequency Database’s Foreign Exchange Rates – Table RU.MF001: Foreign Exchange Rate: Bank of Russia: Main Currencies. Bicurrency basket is operational guideline of the Central Bank's exchange rate policy for real exchange rate to US Dollar and Euro. Bicurrency busket was implemented on the February 1st 200 5. Bicurrency basket structure Period Relative currency weights in the basket 8 February 2007 - 0.55 USD / 0.45 EURO 1 December 2005 - 7 February 2007 0.60 USD / 0.40 EURO 1 August 2005 - 30 November 2005 0.65 USD / 0.35 EURO 16 May 2005 - 31 July 2005 0.70 USD / 0.30 EURO 15 March 2005 - 15 May 2005 0.80 USD / 0.20 EURO 1 February 2005 - 14 March 2005 0.90 USD / 0.10 EURO Бивалютная корзина — операционный ориентир курсовой политики Центрального Банка России, введенный 1 февраля 2005 г. для определения реального курса рубля по отношению к основным валютам: доллару и евро. Структура бивалютной корзины Период действия Число единиц иностранной валюты в составе корзины 8 февраля 2007 г. - 0,55 долларов США / 0,45 евро 1 декабря 2005 г. - 7 февраля 2007 г. 0,6 долларов США / 0,4 евро 1 августа 2005 г. - 30 ноября 2005 г. 0,65 долларов США / 0,35 евро 16 мая 2005 г. - 31 июля 2005 г. 0,7 долларов США / 0,3 евро 15 марта 2005 г. - 15 мая 2005 г. 0,8 долларов США / 0,2 евро 1 февраля 2005 г. - 14 марта 2005 г. 0,9 долларов США / 0,1 евро

Graph and download economic data for Value of Currency in Circulation: Total (CURRVALALL) from 1993 to 2024 about notes, currency, and USA.

Foreign Exchange Rate: Bank of Russia: US Dollar data was reported at 80.224 USD/RUB in 15 May 2025. This records a decrease from the previous number of 80.550 USD/RUB for 14 May 2025. Foreign Exchange Rate: Bank of Russia: US Dollar data is updated daily, averaging 63.133 USD/RUB from Jul 1992 (Median) to 15 May 2025, with 7584 observations. The data reached an all-time high of 120.379 USD/RUB in 11 Mar 2022 and a record low of 27.262 USD/RUB in 06 May 2011. Foreign Exchange Rate: Bank of Russia: US Dollar data remains active status in CEIC and is reported by Bank of Russia. The data is categorized under High Frequency Database’s Foreign Exchange Rates – Table RU.MF001: Foreign Exchange Rate: Bank of Russia: Main Currencies. The official exchange rates of foreign currencies against the ruble are set by an order of the Bank of Russia and remain valid until the next order becomes effective.

The Foreign Exchange Market report segments the industry into By Type (Spot Forex, Currency Swap, Outright Forward, Forex Swaps, Forex Options, Other Types), By Counterparty (Reporting Dealers, Other Financial Institutions, Non-Financial Customers), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East & Africa). Get five years of historical data alongside five-year market forecasts.

The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:

1. Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.

2. Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.

3. Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.

4. Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.

5. Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.

6. The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:

7. Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.

8. Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.

9. Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.

10. Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.

11. Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.

12. Data Quality: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.

Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.

Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.

The USD/BRL exchange rate fell to 5.4782 on June 27, 2025, down 0.20% from the previous session. Over the past month, the Brazilian Real has strengthened 3.70%, and is up by 2.07% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on June of 2025.

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.