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.

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

Money Supply M0 in the United States decreased to 5648600 USD Million in May from 5732900 USD Million in April of 2025. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Money Supply M2 in the United States increased to 21942 USD Billion in May from 21862.40 USD Billion in April of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The EUR/USD exchange rate fell to 1.1663 on July 14, 2025, down 0.21% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.88%, and is up by 7.02% 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 Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-07-03 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

GDP per capita (current US$) is an economic indicator that measures the average economic output per person in a country. It is calculated by dividing the total Gross Domestic Product (GDP) of a country by its population, both measured in current US dollars. GDP per capita provides a useful metric for comparing the economic well-being and living standards between different countries.

There are various sources where you can find GDP per capita data, including international organizations, government agencies, and financial institutions. Some prominent sources for GDP per capita data include:

1. World Bank: The World Bank provides comprehensive data on GDP per capita for countries around the world. They maintain the World Development Indicators (WDI) database, which includes GDP per capita figures for different years.

2. International Monetary Fund (IMF): The IMF also offers GDP per capita data through their World Economic Outlook (WEO) database. It provides economic indicators and forecasts, including GDP per capita figures for various countries.

3. National Statistical Agencies: Many countries have their own national statistical agencies that publish GDP per capita data. These agencies collect and analyze economic data, including GDP and population figures, to calculate GDP per capita.

4. Central Banks: In some cases, central banks may also provide GDP per capita data for their respective countries. They often publish economic indicators and reports that include GDP per capita figures.

When using GDP per capita data, it's important to note that it represents an average measure and does not necessarily reflect the distribution of wealth within a country. Additionally, GDP per capita figures are often adjusted for inflation to provide real GDP per capita, which accounts for changes in the purchasing power of money over time.

To access the most up-to-date and accurate GDP per capita data, it is recommended to refer to reputable sources mentioned above or consult the official websites of international organizations, government agencies, or central banks that specialize in economic data and analysis.

United States U.S. Dollar Index: Futures: Volume data was reported at 36,443.810 Unit in Apr 2025. This records an increase from the previous number of 26,125.524 Unit for Mar 2025. United States U.S. Dollar Index: Futures: Volume data is updated monthly, averaging 3,678.275 Unit from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 77,809.773 Unit in Mar 2015 and a record low of 210.783 Unit in Oct 1986. United States U.S. Dollar Index: Futures: Volume data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

United States US: Official Rate: End of Period: USD per National Currency data was reported at 1.000 USD/USD in 2017. This stayed constant from the previous number of 1.000 USD/USD for 2016. United States US: Official Rate: End of Period: USD per National Currency data is updated yearly, averaging 1.000 USD/USD from Dec 1940 (Median) to 2017, with 78 observations. The data reached an all-time high of 1.000 USD/USD in 2017 and a record low of 1.000 USD/USD in 2017. United States US: Official Rate: End of Period: USD per National Currency data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.IFS: Foreign Exchange Rates: Annual.

United States Spot Exchange Rate: Netherlands Guilder to US Dollar data was reported at 1.918 NLG/USD in Oct 2018. This records an increase from the previous number of 1.889 NLG/USD for Sep 2018. United States Spot Exchange Rate: Netherlands Guilder to US Dollar data is updated monthly, averaging 1.984 NLG/USD from Jan 1971 (Median) to Oct 2018, with 574 observations. The data reached an all-time high of 3.739 NLG/USD in Feb 1985 and a record low of 1.398 NLG/USD in Jul 2008. United States Spot Exchange Rate: Netherlands Guilder to US Dollar data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M015: Spot Exchange Rate.

Title: Historical INR to USD Currency Exchange Rate Dataset (March 2020 - March 2023)

Description:

This comprehensive dataset, titled "Historical INR to USD Currency Exchange Rate Dataset," presents a meticulous collection of currency exchange rates between the Indian Rupee (INR) and the United States Dollar (USD) over a span from March 4, 2020, to March 2, 2023. With granular data points capturing each month's date, year, and INR price against the USD, this dataset offers a valuable resource for researchers, analysts, and data enthusiasts seeking to explore, analyze, and derive insights from currency market trends.

Key Features:

Temporal Coverage: The dataset spans a period of three years, enabling a thorough examination of currency exchange rate fluctuations and trends over a diverse range of economic conditions. High-Quality Data: The exchange rates are meticulously recorded, ensuring accuracy and reliability for various research and analytical applications. Month-wise Granularity: Each entry includes the month's date and year, allowing users to discern intra-month fluctuations and patterns. Analytical Flexibility: Researchers can harness the dataset to develop predictive models, backtesting strategies, conducting econometric analyses, and identifying factors that influence currency movements. Multidisciplinary Applicability: This dataset is valuable to professionals across finance, economics, data science, and other fields, serving as a foundation for a plethora of research endeavors. Potential Use Cases:

Currency Forecasting: Researchers can leverage this dataset to build and evaluate models for predicting INR to USD exchange rates, contributing to the development of more accurate forecasting methods. Economic Analysis: Analysts can examine historical exchange rate trends to understand the impact of geopolitical events, economic policies, and market dynamics on currency valuation. Investment Strategies: Traders and investors can backtest trading strategies and assess risk exposure based on historical exchange rate data. Academic Research: Economists and scholars can utilize this dataset for academic studies, contributing to the broader understanding of currency markets and their implications. By making this dataset available to the Kaggle community, we aim to foster collaborative research and knowledge sharing among data enthusiasts, empowering them to uncover new insights, develop innovative models, and make informed decisions in the realm of currency exchange rate analysis. Whether you're a seasoned data scientist or a curious learner, this dataset invites you to embark on a journey of exploration and discovery in the world of currency markets.

We encourage users to explore the dataset, engage in discussions, and contribute their findings and methodologies to advance our collective understanding of currency exchange rate dynamics. Your insights and contributions could pave the way for more accurate forecasting, better risk management, and enhanced economic decision-making.

Note: The dataset is provided in CSV format and is for research and educational purposes only. Users are encouraged to cite the dataset appropriately when using it in their work.

[Dataset Link]

Keywords: currency exchange rates, Indian Rupee, United States Dollar, historical data, financial markets, forecasting, data analysis, economic trends, Kaggle dataset.

United States US: GDP: 2010 Price: USD data was reported at 17,304.984 USD bn in 2017. This records an increase from the previous number of 16,920.328 USD bn for 2016. United States US: GDP: 2010 Price: USD data is updated yearly, averaging 8,735.853 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17,304.984 USD bn in 2017 and a record low of 3,078.071 USD bn in 1960. United States US: GDP: 2010 Price: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Real. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2010 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2010 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Explore the official exchange rate data with this federated dataset. Learn more about the economic trends and fluctuations in this region. Follow data.kapsarc.org for timely data to advance energy economics research. Federated Dataset

Saudi Arabia, Bahrain, China, India, Kuwait, Oman, Qatar © 2016 The World Bank Group, All Rights Reserved.LCU per US$, period average Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar).

The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants. The World Bank complies with all sanctions applicable to World Bank transactions.

The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants. The World Bank complies with all sanctions applicable to World Bank transactions.

Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 670.000 USD in 2023. This records an increase from the previous number of 660.000 USD for 2022. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 220.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 940.000 USD in 2014 and a record low of 110.000 USD in 1964. Chad TD: GDP: USD: Gross National Income per Capita: Atlas Method data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains historical snapshots of the Statement of Loans including the latest available snapshots. The World Bank complies with all sanctions applicable to World Bank transactions.

Description of columns

The rest of the description can be found in this link

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KH: DEC Alternative Conversion Factor: per USD data was reported at 4,110.653 USD/KHR in 2023. This records an increase from the previous number of 4,102.038 USD/KHR for 2022. KH: DEC Alternative Conversion Factor: per USD data is updated yearly, averaging 1,042.300 USD/KHR from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 4,184.917 USD/KHR in 2010 and a record low of 11.924 USD/KHR in 1982. KH: DEC Alternative Conversion Factor: per USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cambodia – Table KH.World Bank.WDI: Exchange Rates and Real Effective Exchange Rates. The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where further refinements are made by World Bank staff. It is expressed in local currency units per U.S. dollar.;International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.;;In the WDI database, the DEC alternative conversion factor is used to convert data in local currency units (LCU) into U.S. dollars.

This dataset contains information on the gross domestic product (GDP) of countries, regions, and the world, in current US dollars. The data is sourced from the World Bank, and includes GDP data from national accounts and OECD National Accounts data files. The dataset provides a normalized CSV format and includes data on different GDP indicators, such as GDP in current USD, GDP in constant USD (2000), GDP PPP (constant 2005 international $), and GDP in constant LCU.