United States - Currency in Circulation was 2415.65300 Bil. of $ in October of 2025, according to the United States Federal Reserve. Historically, United States - Currency in Circulation reached a record high of 2415.65300 in October of 2025 and a record low of 3.71400 in August of 1917. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Currency in Circulation - last updated from the United States Federal Reserve on December of 2025.

The DXY exchange rate rose to 99.4202 on December 2, 2025, up 0.01% from the previous session. Over the past month, the United States Dollar has weakened 0.45%, and is down by 6.53% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Currency in Circulation (CURRCIR) from Aug 1917 to Oct 2025 about currency and USA.

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.

This dataset provides updated currency exchange rates for a variety of currencies against a base currency (typically the United States Dollar, USD).

Content:

Base Currency: USD

The dataset is primarily focused on exchange rates concerning the United States Dollar (USD). Currencies Included:

Exchange rates are provided for a comprehensive list of currencies, including but not limited to Euro (EUR), British Pound (GBP), Japanese Yen (JPY), and many others.

Currency Codes:

These currency codes are used to uniquely identify and represent different world currencies in international financial transactions, trade, and investment. They are commonly used to specify the currency in which monetary values are expressed, making it easier to conduct cross-border transactions and financial reporting.

Money Supply M0 in the United States increased to 53615000 USD Million in October from 5478000 USD Million in September of 2025. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

United States US Dollar Liquidity Swap Operations: Outstanding data was reported at 194.000 USD mn in 05 Dec 2018. This records an increase from the previous number of 68.000 USD mn for 28 Nov 2018. United States US Dollar Liquidity Swap Operations: Outstanding data is updated weekly, averaging 174.000 USD mn from May 2010 (Median) to 05 Dec 2018, with 448 observations. The data reached an all-time high of 109.088 USD bn in 15 Feb 2012 and a record low of 0.000 USD mn in 22 Jun 2016. United States US Dollar Liquidity Swap Operations: Outstanding data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z020: US Dollar Swap Operations.

Real GDP of United States of America improved by 2.80% from 22,062,578,283,267 US dollars in 2023 to 22,679,489,969,556 US dollars in 2024. Since the 2.16% reduction in 2020, real GDP surged by 14.99% in 2024. 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.

This dataset simulates a set of key economic, social, and environmental indicators for 20 countries over the period from 2010 to 2019. The dataset is designed to reflect typical World Bank metrics, which are used for analysis, policy-making, and forecasting. It includes the following variables:

Country Name: The country for which the data is recorded. Year: The specific year of the observation (from 2010 to 2019). GDP (USD): Gross Domestic Product in billions of US dollars, indicating the economic output of a country. Population: The total population of the country in millions. Life Expectancy (in years): The average life expectancy at birth for the country’s population. Unemployment Rate (%): The percentage of the total labor force that is unemployed but actively seeking employment. CO2 Emissions (metric tons per capita): The per capita carbon dioxide emissions, reflecting environmental impact. Access to Electricity (% of population): The percentage of the population with access to electricity, representing infrastructure development. Country:

Description: Name of the country for which the data is recorded. Data Type: String Example: "United States", "India", "Brazil" Year:

Description: The year in which the data is observed. Data Type: Integer Range: 2010 to 2019 Example: 2012, 2015 GDP (USD):

Description: The Gross Domestic Product of the country in billions of US dollars, indicating the economic output. Data Type: Float (billions of USD) Example: 14200.56 (represents 14,200.56 billion USD) Population:

Description: The total population of the country in millions. Data Type: Float (millions of people) Example: 331.42 (represents 331.42 million people) Life Expectancy (in years):

Description: The average number of years a newborn is expected to live, assuming that current mortality rates remain constant throughout their life. Data Type: Float (years) Range: Typically between 50 and 85 years Example: 78.5 years Unemployment Rate (%):

Description: The percentage of the total labor force that is unemployed but actively seeking employment. Data Type: Float (percentage) Range: Typically between 2% and 25% Example: 6.25% CO2 Emissions (metric tons per capita):

Description: The amount of carbon dioxide emissions per person in the country, measured in metric tons. Data Type: Float (metric tons) Range: Typically between 0.5 and 20 metric tons per capita Example: 4.32 metric tons per capita Access to Electricity (%):

Description: The percentage of the population with access to electricity. Data Type: Float (percentage) Range: Typically between 50% and 100% Example: 95.7%

United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value 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: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Kenya: Gross Domestic Product, billions of U.S. dollars: The latest value from 2024 is 124.5 billion U.S. dollars, an increase from 108.04 billion U.S. dollars in 2023. In comparison, the world average is 612.35 billion U.S. dollars, based on data from 176 countries. Historically, the average for Kenya from 1960 to 2024 is 26.07 billion U.S. dollars. The minimum value, 0.79 billion U.S. dollars, was reached in 1960 while the maximum of 124.5 billion U.S. dollars was recorded in 2024.

Graph and download economic data for Monetary Base: Total (BOGMBASE) from Jan 1959 to Oct 2025 about monetary base and USA.

When converted to the value of one US dollar in 2020, goods and services that cost one dollar in 1700 would cost just over 63 dollars in 2020, this means that one dollar in 1700 was worth approximately 63 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 dollars in 1970 would theoretically cost 335.5 US dollars in 2020 (50 x 6.71 = 335.5), although it is important to remember that the prices of individual goods and services inflate at different rates than currency, therefore this graph must only be used as a guide.

The U.S. dollar was the most common currency in foreign exchange reserves in 2025, comprising more than three times the amount of the euro in global reserves that year. This total peaked in 2015, partly due to the strength of the dollar during the Eurozone crisis. The share of the U.S. dollar has lost since to the Japanese yen and euro, as well as other currencies. Why do foreign exchange reserves matter? When countries with different currencies export goods, they must agree on a currency for payment. As a result, countries hold currency reserves worth trillions of U.S. dollars. After World War II, the U.S. dollar itself became the international currency in the Bretton Woods Agreement and is thus the most common currency for international payments. The United States Treasury is also seen by most as risk-free, giving the country a low-risk premium. For this reason, countries hold U.S. dollars in reserve because the currency holds value relatively well eventually. China and currency reserves Since 2016, the International Monetary Fund has included the Chinese renminbi (yuan) as part of the Special Drawing Rights (SDR) basket. This decision recognized the influence of the renminbi as a reserve currency, particularly in several Asian countries. China also holds significant foreign exchange reserves itself, funded by its large positive trade balance.

The Global Gridded Geographically Based Economic Data (G-Econ), Version 4 contains derived one degree grid cells of Gross Domestic Product (GDP) data in Grid and ASCII formats for both Market Exchange Rate (MER) and Purchasing Power Parity (PPP) for the years 1990, 1995, 2000 and 2005. MER is the exchange rate between local and U.S. dollar currencies for a given time period established by the market. PPP is the exchange rate between a country's currency and U.S. dollars adjusted to reflect the actual cost in U.S. dollars of purchasing a standardized market basket of goods in that country using the country's currency. The original data from the G-Econ Project at Yale University is also available in tabular format and includes latitude and longitude geographic coordinates of the grid cells, area of grid cells, as well as country names, distance to coast, elevation, vegetation, population, precipitation and temperature.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027. What is Big data? Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. Big data analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Kenya: Government spending, billion USD: The latest value from 2024 is 14.31 billion U.S. dollars, an increase from 12.87 billion U.S. dollars in 2023. In comparison, the world average is 78.89 billion U.S. dollars, based on data from 100 countries. Historically, the average for Kenya from 1960 to 2024 is 3.45 billion U.S. dollars. The minimum value, 0.09 billion U.S. dollars, was reached in 1960 while the maximum of 14.31 billion U.S. dollars was recorded in 2024.

United States USD Trade Weighted Index: Real: Major Currencies data was reported at 104.556 Mar1973=100 in Oct 2018. This records an increase from the previous number of 103.639 Mar1973=100 for Sep 2018. United States USD Trade Weighted Index: Real: Major Currencies data is updated monthly, averaging 91.800 Mar1973=100 from Jan 1973 (Median) to Oct 2018, with 550 observations. The data reached an all-time high of 131.551 Mar1973=100 in Mar 1985 and a record low of 77.674 Mar1973=100 in Jul 2011. United States USD Trade Weighted Index: Real: Major Currencies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M016: US Dollar Trade Weighted Index.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.