100+ datasets found
  1. FRED Economic Data Catalog

    • kaggle.com
    zip
    Updated Apr 1, 2025
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    Patrick O'Connor (2025). FRED Economic Data Catalog [Dataset]. https://www.kaggle.com/datasets/wumanandpat/fred-economic-data-catalog
    Explore at:
    zip(64420528 bytes)Available download formats
    Dataset updated
    Apr 1, 2025
    Authors
    Patrick O'Connor
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    This dataset represents a snapshot of the FRED catalog, captured on 2025-03-24.

    What is FRED? As per the FRED website,

    Short for Federal Reserve Economic Data, FRED is an online database consisting of hundreds of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories. The purpose of this article is to guide the potential (or current) FRED user through the various aspects and tools of the database.

    The FRED database is an abolute gold mine of economic data time series. Thousands of such series are published on the FRED website, organized by category and avialable for viewing and downloading. In fact, a number of these economic datasets have been uploaded to kaggle. With in the current notebook, however, we are not interested in the individual time series; rather, we are focused on catalog itself.

    The FRED API has been used for gaining access to the catalog. The catalog consists of two files

    • categories.csv - the heirarchy of categories used for organizing the time series
    • series.csv - the list of avialable time series themselves

    A given category is identified by a category_id. And, in a similar fashion, a given series is identified by a series_id. In a given category, one may find both a group of series and a set of sub-categories. As such every series record contains a category_id to identify the immediate category under which it is found category record contains a parent_id to indicate where in the category heirarchy it resides

  2. FRED: U.S. Advance Retail Sales Dataset

    • kaggle.com
    Updated Sep 8, 2025
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    Swati Hegde (2025). FRED: U.S. Advance Retail Sales Dataset [Dataset]. https://www.kaggle.com/datasets/swatih/fred-u-s-advance-retail-sales-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Swati Hegde
    Area covered
    United States
    Description

    This dataset, identified by the series ID RSXFS, is sourced from the U.S. Census Bureau and is available through the Federal Reserve Economic Data (FRED) system of the St. Louis Fed. It provides a monthly measure of retail sales across the United States. The data represents the total value of sales at retail and food services stores, measured in millions of dollars and adjusted for seasonal variations. It is important to note that the most recent month's value is an advance estimate, which is subject to revision in subsequent months as more comprehensive data becomes available. As a key economic indicator, this series is widely used by economists and analysts to gauge consumer spending and assess the overall health of the U.S. economy.

    Suggested Use Cases: - This dataset is highly valuable for economic analysis and can be used to: - Conduct time series analysis and modeling. - Track consumer spending patterns. - Forecast future retail sales. - Analyze the impact of economic events on the retail sector.

    License The RSXFS dataset is sourced from the U.S. Census Bureau and is considered Public Domain: Citation Requested. This means the data is freely available for use, but you must cite the source and acknowledge that the data was obtained from FRED. If you plan on using any copyrighted series from other data providers on FRED for commercial purposes, you would need to contact the original data owner for permission.

    Data Fields: The dataset primarily contains two columns: - observation_date: The date of the monthly data point, recorded as the first day of each month from January 1992 to July 2025. - RSXFS: The value of advance retail sales in millions of dollars.

    Citation and Provenance:
    Source: U.S. Census Bureau
    Release: Advance Monthly Sales for Retail and Food Services
    FRED Link: https://fred.stlouisfed.org/series/RSXFS
    Citation: U.S. Census Bureau, Advance Retail Sales: Retail Trade [RSXFS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSXFS, September 8, 2025.

  3. w

    Dataset of book subjects that contain Watch Out for Fred!

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Watch Out for Fred! [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Watch+Out+for+Fred%21&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about book subjects. It has 1 row and is filtered where the books is Watch Out for Fred!. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  4. w

    Dataset of books called The very best of Fred

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The very best of Fred [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+very+best+of+Fred
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is The very best of Fred. It features 7 columns including author, publication date, language, and book publisher.

  5. w

    Dataset of book series by Fred Feldman

    • workwithdata.com
    Updated Nov 25, 2024
    + more versions
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    Work With Data (2024). Dataset of book series by Fred Feldman [Dataset]. https://www.workwithdata.com/datasets/book-series?f=1&fcol0=j0-author&fop0=%3D&fval0=Fred+Feldman&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about book series. It has 1 row and is filtered where the authors is Fred Feldman. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  6. w

    Dataset of artists who created Fred

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Dataset of artists who created Fred [Dataset]. https://www.workwithdata.com/datasets/artists?f=1&fcol0=j0-artwork&fop0=%3D&fval0=Fred&j=1&j0=artworks
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about artists. It has 1 row and is filtered where the artworks is Fred. It features 9 columns including birth date, death date, country, and gender.

  7. w

    Dataset of books by J. David Fred

    • workwithdata.com
    Updated Apr 17, 2025
    + more versions
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    Work With Data (2025). Dataset of books by J. David Fred [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=author&fop0=%3D&fval0=J.+David+Fred
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the author is J. David Fred. It features 7 columns including author, publication date, language, and book publisher.

  8. Total Revenue Time Series Collection

    • kaggle.com
    zip
    Updated Dec 6, 2019
    + more versions
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    US Census Bureau (2019). Total Revenue Time Series Collection [Dataset]. https://www.kaggle.com/census/total-revenue-time-series-collection
    Explore at:
    zip(34290 bytes)Available download formats
    Dataset updated
    Dec 6, 2019
    Dataset authored and provided by
    US Census Bureau
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    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!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Nathan Dumlao on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  9. w

    Dataset of books by Fred Poynter

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books by Fred Poynter [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=author&fop0=%3D&fval0=Fred+Poynter
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 3 rows and is filtered where the author is Fred Poynter. It features 7 columns including author, publication date, language, and book publisher.

  10. w

    Dataset of books by Fred Chance

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books by Fred Chance [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=author&fop0=%3D&fval0=Fred+Chance
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the author is Fred Chance. It features 7 columns including author, publication date, language, and book publisher.

  11. Bank Credit of All Commercial Banks

    • kaggle.com
    zip
    Updated Dec 24, 2019
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    Federal Reserve (2019). Bank Credit of All Commercial Banks [Dataset]. https://www.kaggle.com/datasets/federalreserve/bank-credit-of-all-commercial-banks
    Explore at:
    zip(20809 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Description

    Content

    This dataset has no description from FRED.

    Context

    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!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1973-01-03

    • Observation End : 2019-12-11

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by timJ on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  12. F

    Gross Domestic Product

    • fred.stlouisfed.org
    • trends.sourcemedium.com
    json
    Updated Sep 25, 2025
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    (2025). Gross Domestic Product [Dataset]. https://fred.stlouisfed.org/series/GDP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

  13. w

    Dataset of books by Fred Chappell

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books by Fred Chappell [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=author&fop0=%3D&fval0=Fred+Chappell
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 15 rows and is filtered where the author is Fred Chappell. It features 7 columns including author, publication date, language, and book publisher.

  14. All Federal Reserve Banks: Total Assets

    • kaggle.com
    zip
    Updated Aug 14, 2018
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    St. Louis Fed (2018). All Federal Reserve Banks: Total Assets [Dataset]. https://www.kaggle.com/stlouisfed/all-federal-reserve-banks-total-assets
    Explore at:
    zip(6431 bytes)Available download formats
    Dataset updated
    Aug 14, 2018
    Dataset provided by
    Federal Reserve Bank Of St. Louishttps://www.stlouisfed.org/
    Authors
    St. Louis Fed
    Description

    Content

    This dataset has no description from FRED.

    Context

    This is a dataset hosted by the Federal Reserve Economic Database (FRED). The organization has a data platform found here and they update their information according the amount of data that is brought in. Explore FRED using Kaggle and all of the data sources available through the FRED organization page!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 2002-12-18

    • Observation End : 2018-08-08

    Acknowledgements

    This dataset is maintained using FRED's APIs and Kaggle's API.

    Cover photo by Jongsun Lee on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  15. Effective Federal Funds Rate Series

    • kaggle.com
    zip
    Updated Aug 14, 2018
    + more versions
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    St. Louis Fed (2018). Effective Federal Funds Rate Series [Dataset]. https://www.kaggle.com/stlouisfed/effective-federal-funds-rate-series
    Explore at:
    zip(101209 bytes)Available download formats
    Dataset updated
    Aug 14, 2018
    Dataset provided by
    Federal Reserve Bank Of St. Louishttps://www.stlouisfed.org/
    Authors
    St. Louis Fed
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset hosted by the Federal Reserve Economic Database (FRED). The organization has a data platform found here and they update their information according the amount of data that is brought in. Explore FRED using Kaggle and all of the data sources available through the FRED organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's APIs and Kaggle's API.

    Cover photo by Abraham Osorio on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  16. Federal Reserve Economic Dataset🏦

    • kaggle.com
    zip
    Updated Oct 28, 2023
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    Dhaval Rupapara (2023). Federal Reserve Economic Dataset🏦 [Dataset]. https://www.kaggle.com/datasets/dhavalrupapara/federal-reserve-economic-dataset
    Explore at:
    zip(186050 bytes)Available download formats
    Dataset updated
    Oct 28, 2023
    Authors
    Dhaval Rupapara
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    "This dataset, sourced from the extensive FRED (Federal Reserve Economic Data) database of the St. Louis Federal Reserve, represents a comprehensive series of economic data of all the releases from the start till date, providing an in-depth exploration of economic trends and indicators specific to the St. Louis region. It includes a rich collection of economic metrics, such as employment figures, inflation rates, and housing statistics. Tailored for data scientists, economists, and researchers, this dataset offers a focused lens into the economic dynamics of St. Louis

    Key Features

    Column NamesDescription
    idUnique identifier for each data entry.
    titleTitle of the economic data, specifying the industry or category.
    observation_startStart date of the economic data observation period.
    observation_endEnd date of the economic data observation period.
    frequencyFrequency of data updates (e.g., monthly, quarterly).
    unitsMeasurement units used in the data (e.g., index points).
    seasonal_adjustmentIndicates whether seasonal adjustments are applied to the data, important for understanding data fluctuations over time.
    last_updatedDate and time of the last data update, ensuring the data's timeliness and relevance.
    popularityA measure of the data's popularity or usage, indicating its significance and relevance in research and analysis.
    group_popularityPopularity ranking within a specific group or category, helping identify the data's importance within a particular context.
    notesAdditional notes or information about the data, offering valuable context and insights for data interpretation.

    How to Harness the Dataset's Full Potential

    1. Advanced Analytics: Explore intricate economic trends and patterns, employing advanced data analytics and machine learning for precise decision-making.

    2. In-Depth Research: Conduct nuanced research, including econometric modeling and policy impact analysis, to contribute to academic and policy insights.

    3. Policy Optimization: Utilize the data for complex policy assessments, evaluating scenarios, and optimizing decision-making processes.

    4. Interdisciplinary Collaboration: Foster collaboration between data analysts, researchers, and policymakers to address multifaceted economic challenges collectively.

    5. Real-Time Surveillance: Continuously monitor dynamic economic trends, enabling proactive responses to evolving conditions from various professional perspectives.

    Please upvote and show your support if you find this dataset valuable for your research or analysis. 🙌 Your feedback and contributions help make this dataset more accessible to the Kaggle community. 🚀 Thank you! 🙏

  17. w

    Dataset of books by Fred Bauer

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books by Fred Bauer [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=author&fop0=%3D&fval0=Fred+Bauer
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the author is Fred Bauer. It features 7 columns including author, publication date, language, and book publisher.

  18. Required Reserves of Depository Institutions

    • kaggle.com
    zip
    Updated Dec 24, 2019
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    Federal Reserve (2019). Required Reserves of Depository Institutions [Dataset]. https://www.kaggle.com/datasets/federalreserve/required-reserves-of-depository-institutions
    Explore at:
    zip(5132 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Description

    Content

    This dataset has no description from FRED.

    Context

    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!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1959-01-01

    • Observation End : 2019-11-01

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Henri Pham on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  19. Data from: Health Insurance Coverage in the United States

    • kaggle.com
    zip
    Updated Dec 6, 2019
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    US Census Bureau (2019). Health Insurance Coverage in the United States [Dataset]. https://www.kaggle.com/census/health-insurance-coverage-in-the-united-states
    Explore at:
    zip(888 bytes)Available download formats
    Dataset updated
    Dec 6, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    United States
    Description

    Content

    This dataset has no description from FRED.

    Context

    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!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1999-01-01

    • Observation End : 2012-01-01

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

  20. Student Loans Owned and Securitized

    • kaggle.com
    zip
    Updated Dec 24, 2019
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    Federal Reserve (2019). Student Loans Owned and Securitized [Dataset]. https://www.kaggle.com/datasets/federalreserve/student-loans-owned-and-securitized
    Explore at:
    zip(2480 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    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!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by nousnou iwasaki on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

Share
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Patrick O'Connor (2025). FRED Economic Data Catalog [Dataset]. https://www.kaggle.com/datasets/wumanandpat/fred-economic-data-catalog
Organization logo

FRED Economic Data Catalog

List of Economic Time Series Provided by the Federal Reserve Bank of St Louis

Explore at:
zip(64420528 bytes)Available download formats
Dataset updated
Apr 1, 2025
Authors
Patrick O'Connor
License

https://www.usa.gov/government-works/https://www.usa.gov/government-works/

Description

This dataset represents a snapshot of the FRED catalog, captured on 2025-03-24.

What is FRED? As per the FRED website,

Short for Federal Reserve Economic Data, FRED is an online database consisting of hundreds of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories. The purpose of this article is to guide the potential (or current) FRED user through the various aspects and tools of the database.

The FRED database is an abolute gold mine of economic data time series. Thousands of such series are published on the FRED website, organized by category and avialable for viewing and downloading. In fact, a number of these economic datasets have been uploaded to kaggle. With in the current notebook, however, we are not interested in the individual time series; rather, we are focused on catalog itself.

The FRED API has been used for gaining access to the catalog. The catalog consists of two files

  • categories.csv - the heirarchy of categories used for organizing the time series
  • series.csv - the list of avialable time series themselves

A given category is identified by a category_id. And, in a similar fashion, a given series is identified by a series_id. In a given category, one may find both a group of series and a set of sub-categories. As such every series record contains a category_id to identify the immediate category under which it is found category record contains a parent_id to indicate where in the category heirarchy it resides

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