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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
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
Facebook
TwitterThis 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterMore 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.
Cover photo by Nathan Dumlao on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterThis dataset has no description from FRED.
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
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.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterThis dataset has no description from FRED.
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
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.
Facebook
TwitterMore details about each file are in the individual file descriptions.
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!
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.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
"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
| Column Names | Description |
|---|---|
id | Unique identifier for each data entry. |
title | Title of the economic data, specifying the industry or category. |
observation_start | Start date of the economic data observation period. |
observation_end | End date of the economic data observation period. |
frequency | Frequency of data updates (e.g., monthly, quarterly). |
units | Measurement units used in the data (e.g., index points). |
seasonal_adjustment | Indicates whether seasonal adjustments are applied to the data, important for understanding data fluctuations over time. |
last_updated | Date and time of the last data update, ensuring the data's timeliness and relevance. |
popularity | A measure of the data's popularity or usage, indicating its significance and relevance in research and analysis. |
group_popularity | Popularity ranking within a specific group or category, helping identify the data's importance within a particular context. |
notes | Additional notes or information about the data, offering valuable context and insights for data interpretation. |
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! 🙏
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterThis dataset has no description from FRED.
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
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.
Facebook
TwitterThis dataset has no description from FRED.
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
This dataset is maintained using FRED's API and Kaggle's API.
Facebook
TwitterMore 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.
Cover photo by nousnou iwasaki on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
Facebook
Twitterhttps://www.usa.gov/government-works/https://www.usa.gov/government-works/
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
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