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View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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St. Louis Fed’s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA’s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W. “A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth" (https://research.stlouisfed.org/publications/review/2016/12/05/a-macroeconomic-news-index-for-constructing-nowcasts-of-u-s-real-gross-domestic-product-growth/ )
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 2013-04-01
Observation End : 2019-10-01
This dataset is maintained using FRED's API and Kaggle's API.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
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View LSEG's extensive Economic Data, including content that allows the analysis and monitoring of national economies with historical and real-time series.
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Graph and download economic data for Secured Overnight Financing Rate (SOFR) from 2018-04-03 to 2025-07-22 about financing, overnight, securities, rate, and USA.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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Graph and download economic data for Infra-Annual Labor Statistics: Unemployment Rate Total: 15 Years or over for New Zealand (LRUNTTTTNZQ156S) from Q1 1986 to Q1 2025 about New Zealand, 15 years +, unemployment, and rate.
This series is constructed as Advance Retail and Food Services Sales (https://fred.stlouisfed.org/series/RSAFS) deflated using the Consumer Price Index for All Urban Consumers (1982-84=100) (https://fred.stlouisfed.org/series/CPIAUCSL).
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1992-01-01
Observation End : 2019-10-01
This dataset is maintained using FRED's API and Kaggle's API.
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The STLFSI measures the degree of financial stress in the markets and is constructed from 18 weekly data series: seven interest rate series, six yield spreads and five other indicators. Each of these variables captures some aspect of financial stress. Accordingly, as the level of financial stress in the economy changes, the data series are likely to move together.
How to Interpret the Index: The average value of the index, which begins in late 1993, is designed to be zero. Thus, zero is viewed as representing normal financial market conditions. Values below zero suggest below-average financial market stress, while values above zero suggest above-average financial market stress.
More information: For additional information on the STLFSI and its construction, see "Measuring Financial Market Stress" (https://files.stlouisfed.org/research/publications/es/10/ES1002.pdf) and the related appendix (https://files.stlouisfed.org/files/htdocs/publications/net/NETJan2010Appendix.pdf).
See this list (https://www.stlouisfed.org/news-releases/st-louis-fed-financial-stress-index/stlfsi-key) of the components that are used to construct the STLFSI.
As of 07/15/2010 the Vanguard Financial Exchange-Traded Fund series has been replaced with the S&P 500 Financials Index. This change was made to facilitate a more timely and automated updating of the FSI. Switching from the Vanguard series to the S&P series produced no meaningful change in the index.
Copyright, 2016, Federal Reserve Bank of St. Louis.
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1993-12-31
Observation End : 2019-11-29
This dataset is maintained using FRED's API and Kaggle's API.
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The Stock Market API market is projected to experience a remarkable growth trajectory, with a market size of XX million in 2025 and an anticipated CAGR of XX% over the forecast period of 2025-2033. This growth is driven by the increasing demand for real-time and accurate financial data for informed investment decisions, as well as the rise of cloud-based technologies and the proliferation of API-driven applications. Key market trends shaping the Stock Market API landscape include the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) for data analysis and prediction, the growing popularity of mobile trading and fintech applications, and the increasing demand for personalized and tailored financial services. The market is also characterized by a competitive landscape with a wide range of API providers offering diverse data offerings and integration options. Prominent players in the market include Marketstack, Alpha Vantage, Finnhub, Barchart, Financial Modeling Prep, EOD Historical Data, Tiingo, Intrinio, Quandl, Polygon, Alpaca, Yahoo, IEX Cloud, FRED (Federal Reserve Economic Data) API, Ally Invest API, Xignite, Tradier, AlphaSense, Refinitiv Data Platform, E*TRADE, Koyfin, Investopedia, and more.
Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve Bank of St. Louis hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve Bank of St. Louis using Kaggle and all of the data sources available through the St. Louis Fed organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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Graph and download economic data for GDPNow (GDPNOW) from Q3 2011 to Q2 2025 about nowcast, projection, headline figure, GDP, rate, and USA.
This API contains state-level and national-level data on energy production. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy production by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
API Crude Oil Stock Change in the United States decreased to -0.58 BBL/1Million in July 18 from 0.84 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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License information was derived automatically
Analysis of ‘Population Time Series Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/census/population-time-series-data on 28 January 2022.
--- Dataset description provided by original source is as follows ---
More details about each file are in the individual file descriptions.
This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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--- Original source retains full ownership of the source dataset ---
This API provides state-level and national-level energy prices and expenditures. Data organized by major economic sectors. EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, Btu, and dollars. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
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View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.
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View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.