U.S. Government Workshttps://www.usa.gov/government-works
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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:
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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.
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.
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.
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.
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.
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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.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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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
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Poland - ECU/EUR exchange rates versus national currencies was PLN4.31 National currency in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - ECU/EUR exchange rates versus national currencies - last updated from the EUROSTAT on July of 2025. Historically, Poland - ECU/EUR exchange rates versus national currencies reached a record high of PLN4.69 National currency in December of 2022 and a record low of PLN3.99 National currency in December of 2010.
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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
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Graph and download economic data for Currency Conversions: US Dollar Exchange Rate: Average of Daily Rates: National Currency: USD for Poland (CCUSMA02PLM618N) from Jan 1957 to May 2025 about Poland, exchange rate, currency, and rate.
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Czech Republic - ECU/EUR exchange rates versus national currencies was CZK25.12 National currency in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Czech Republic - ECU/EUR exchange rates versus national currencies - last updated from the EUROSTAT on July of 2025. Historically, Czech Republic - ECU/EUR exchange rates versus national currencies reached a record high of CZK27.54 National currency in December of 2014 and a record low of CZK24.00 National currency in December of 2023.
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JO: Official Rate: Period Average: National Currency per USD data was reported at 0.710 JOD/USD in 2017. This stayed constant from the previous number of 0.710 JOD/USD for 2016. JO: Official Rate: Period Average: National Currency per USD data is updated yearly, averaging 0.357 JOD/USD from Dec 1950 (Median) to 2017, with 68 observations. The data reached an all-time high of 0.710 JOD/USD in 2017 and a record low of 0.298 JOD/USD in 1980. JO: Official Rate: Period Average: National Currency per USD data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Jordan – Table JO.IMF.IFS: Foreign Exchange Rates: Annual.
Foreign Exchange Market Size 2025-2029
The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.
The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.
What will be the Size of the Foreign Exchange Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.
Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.
How is this Foreign Exchange Industry segmented?
The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Reporting dealers
Financial institutions
Non-financial customers
Trade Finance Instruments
Currency swaps
Outright forward and FX swaps
FX options
Trading Platforms
Electronic Trading
Over-the-Counter (OTC)
Mobile Trading
Geography
North America
US
Canada
Europe
Germany
Switzerland
UK
Middle East and Africa
UAE
APAC
China
India
Japan
South America
Brazil
Rest of World (ROW)
By Type Insights
The reporting dealers segment is estimated to witness significant growth during the forecast period.
The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,
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Foreign Exchange Rate: Bank of Russia: Armenia Dram data was reported at 20.677 100 AMD/RUB in 15 May 2025. This records a decrease from the previous number of 20.756 100 AMD/RUB for 14 May 2025. Foreign Exchange Rate: Bank of Russia: Armenia Dram data is updated daily, averaging 13.373 100 AMD/RUB from Jan 2010 (Median) to 15 May 2025, with 3790 observations. The data reached an all-time high of 27.885 100 AMD/RUB in 29 Nov 2024 and a record low of 7.265 100 AMD/RUB in 06 May 2011. Foreign Exchange Rate: Bank of Russia: Armenia Dram 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.
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Poland - Euro/national currency exchange rates was PLN4.27 National currency in June of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Euro/national currency exchange rates - last updated from the EUROSTAT on July of 2025. Historically, Poland - Euro/national currency exchange rates reached a record high of PLN4.80 National currency in October of 2022 and a record low of PLN4.17 National currency in February of 2025.
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Poland PL: Official Rate: Period Average: National Currency per USD data was reported at 3.779 PLN/USD in 2017. This records a decrease from the previous number of 3.943 PLN/USD for 2016. Poland PL: Official Rate: Period Average: National Currency per USD data is updated yearly, averaging 0.010 PLN/USD from Dec 1950 (Median) to 2017, with 68 observations. The data reached an all-time high of 4.346 PLN/USD in 2000 and a record low of 0.000 PLN/USD in 1977. Poland PL: Official Rate: Period Average: National Currency per USD data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Poland – Table PL.IMF.IFS: Foreign Exchange Rates: Annual.
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.
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.
The data cover the following sub-national areas: Badakhshan, Badghis, Baghlan, Balkh, Bamyan, Daykundi, Farah, Faryab, Paktya, Ghazni, Ghor, Hilmand, Hirat, Nangarhar, Jawzjan, Kabul, Kandahar, Kapisa, Khost, Kunar, Kunduz, Laghman, Logar, Wardak, Nimroz, Nuristan, Paktika, Panjsher, Parwan, Samangan, Sar-e-pul, Takhar, Uruzgan, Zabul, Market Average, Armavir, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Lori, Vayotz Dzor, Yerevan, Kayanza, Ruyigi, Bubanza, Karuzi, Bujumbura Mairie, Muramvya, Gitega, Rumonge, Bururi, Kirundo, Cankuzo, Cibitoke, Muyinga, Rutana, Bujumbura Rural, Makamba, Ngozi, Mwaro, SAHEL, CASCADES, SUD-OUEST, EST, BOUCLE DU MOUHOUN, CENTRE-NORD, PLATEAU-CENTRAL, HAUTS-BASSINS, CENTRE, NORD, CENTRE-SUD, CENTRE-OUEST, CENTRE-EST, Khulna, Chittagong, Barisal, Rajshahi, Dhaka, Rangpur, Sylhet, Mymensingh, Ouaka, Mbomou, Bangui, Nana-Mambéré, Ouham, Sangha-Mbaéré, Ombella M'Poko, Mambéré-Kadéï, Vakaga, Ouham Pendé, Lobaye, Haute-Kotto, Kémo, Nana-Gribizi, Bamingui-Bangoran, Haut-Mbomou, Nord, Extrême-Nord, Ouest, Nord-Ouest, Adamaoua, Sud-Ouest, Est, Littoral, Centre, Haut-Uele, Nord-Kivu, Ituri, Tshopo, Kwilu, Kasai, Sud-Kivu, Kongo-Central, Nord-Ubangi, Sud-Ubangi, Kasai-Central, Bas-Uele, Tanganyika, Lualaba, Kasai-Oriental, Kwango, Haut-Lomami, Haut-Katanga, Maniema, Kinshasa, Equateur, Lomami, Likouala, Brazzaville, Point-Noire, Pool, Bouenza, Cuvette, Lekoumou, Nzerekore, Boke, Kindia, Kankan, Faranah, Mamou, Labe, Kanifing Municipal Council, Central River, Upper River, West Coast, North Bank, Lower River, Bafata, Tombali, Cacheu, Sector Autonomo De Bissau, Biombo, Oio, Gabu, Bolama, Quinara, North, South, Artibonite, South-East, Grande'Anse, North-East, West, North-West, SULAWESI UTARA, SUMATERA UTARA, KALIMANTAN UTARA, JAWA BARAT, NUSA TENGGARA BARAT, NUSA TENGGARA TIMUR, SULAWESI SELATAN, JAMBI, JAWA TIMUR, KALIMANTAN SELATAN, BALI, BANTEN, JAWA TENGAH, RIAU, SUMATERA BARAT, KEPULAUAN RIAU, PAPUA, SULAWESI BARAT, BENGKULU, MALUKU UTARA, DAERAH ISTIMEWA YOGYAKARTA, KALIMANTAN BARAT, KALIMANTAN TENGAH, PAPUA BARAT, SUMATERA SELATAN, MALUKU, KEPULAUAN BANGKA BELITUNG, ACEH, DKI JAKARTA, SULAWESI TENGGARA, KALIMANTAN TIMUR, LAMPUNG, GORONTALO, SULAWESI TENGAH, Anbar, Babil, Baghdad, Basrah, Diyala, Dahuk, Erbil, Ninewa, Kerbala, Kirkuk, Missan, Muthanna, Najaf, Qadissiya, Salah al-Din, Sulaymaniyah, Thi-Qar, Wassit, Coast, North Eastern, Nairobi, Rift Valley, , Eastern, Central, Nyanza, Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan, Khammouan, Louangphabang, Louangnamtha, Oudomxai, Phongsaly, Salavan, Savannakhet, Sekong, Vientiane Capital, Vientiane, Xaignabouly, Xiengkhouang, Akkar, Mount Lebanon, Baalbek-El Hermel, Beirut, Bekaa, El Nabatieh, Nimba, Grand Kru, Grand Cape Mount, Gbarpolu, Grand Bassa, Rivercess, Montserrado, River Gee, Lofa, Bomi, Bong, Sinoe, Maryland, Margibi, Grand Gedeh, East, North Central, Uva, Western, Sabaragamuwa, Southern, Northern, North Western, Kidal, Gao, Tombouctou, Bamako, Kayes, Koulikoro, Mopti, Segou, Sikasso, Yangon, Rakhine, Shan (North), Kayin, Kachin, Shan (South), Mon, Tanintharyi, Mandalay, Kayah, Shan (East), Chin, Magway, Sagaing, Zambezia, Cabo_Delgado, Tete, Manica, Sofala, Maputo, Gaza, Niassa, Inhambane, Maputo City, Nampula, Hodh Ech Chargi, Hodh El Gharbi, Brakna, Adrar, Assaba, Guidimakha, Gorgol, Trarza, Tagant, Dakhlet-Nouadhibou, Nouakchott, Tiris-Zemmour, Central Region, Southern Region, Northern Region, Tillaberi, Tahoua, Agadez, Zinder, Dosso, Niamey, Maradi, Diffa, Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Sokoto, Zamfara, Lagos, Adamawa, 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, North Darfur, Blue Nile, Nile, Eastern Darfur, West Kordofan, Gedaref, West Darfur, North Kordofan, South Kordofan, Kassala, Khartoum, White Nile, South Darfur, Red Sea, Sennar, Al Gezira, Central Darfur, Tambacounda, Diourbel, Ziguinchor, Kaffrine, Dakar, Saint Louis, Fatick, Kolda, Louga, Kaolack, Kedougou, Matam, Thies, Sedhiou, Shabelle Hoose, Juba Hoose, Bay, Banadir, Shabelle Dhexe, Gedo, Hiraan, Woqooyi Galbeed, Awdal, Bari, Juba Dhexe, Togdheer, Nugaal, Galgaduud, Bakool, Sanaag, Mudug, Sool, Warrap, Unity, Jonglei, Northern Bahr el Ghazal, Upper Nile, Central Equatoria, Western Bahr el Ghazal, Eastern Equatoria, Western Equatoria, Lakes, Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, 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, Al Dhale'e, Aden, Al Bayda, Al Maharah, Lahj, Al Jawf, Raymah, Al Hudaydah, Hajjah, Amran, Shabwah, Dhamar, Ibb, Sana'a, Al Mahwit, Marib, Hadramaut, Sa'ada, Amanat Al Asimah, Socotra, Taizz, Abyan
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Romania - ECU/EUR exchange rates versus national currencies was RON4.97 National currency in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Romania - ECU/EUR exchange rates versus national currencies - last updated from the EUROSTAT on July of 2025. Historically, Romania - ECU/EUR exchange rates versus national currencies reached a record high of RON4.97 National currency in December of 2024 and a record low of RON4.21 National currency in December of 2010.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
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: