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

The provided Python code is developed to extract data from the Federal Reserve Economic Data (FRED) regarding Bachelor's or Higher degree education in the United States, specifically at the state and county levels. The code generates data based on the current date and is available up until the year 2021.

This code is useful for research purposes, particularly for conducting comparative analyses involving educational and economic indicators. There are two distinct CSV files associated with this code. One file contains information on the percentage of Bachelor's or Higher degree holders among residents of all USA states, while the other file provides data on states, counties, and municipalities throughout the entire USA.

The extraction process involves applying different criteria, including content filtering (such as title, frequency, seasonal adjustment, and unit) and collaborative filtering based on item similarity. For the first CSV file, the algorithm extracts data for each state in the USA and assigns corresponding state names to the respective FRED codes using a loop. Similarly, for the second CSV file, data is extracted based on a given query, encompassing USA states, counties, and municipalities.

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

Fred David Intl Usa Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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.

Global trade data of Fred under 6109909000, 6109909000 global trade data, trade data of Fred from 80+ Countries.

Context

The dataset was created to predict market recession as inspired by assignment notebook in an online course, Python and Machine Learning for Asset Management by Edhec Business School, on Coursera. However, I aimed at doing this exercise for Indian economy but due to lack of monthly data for most indicators, I used FRED database similarly used in the course.

Content

The time period chosen is 1996-2020 according to most data available.

Acknowledgements

1. Python and Machine Learning for Asset Management by EDHEC Business School, www.coursera.org for recession period data formed according to NBER. 2.FRED, fred.stloiusfed.org for macro-economic indicator data
2. Business cycle dating, www.nber.org
3. Yahoo Finance for stock market data
4. Macrotrends.net for PE ratio
5. quandl.com for snp dividend yield

Inspiration

This dataset is inspired by the assignment notebook in the online course mentioned to predict market recession for portfolio management.

Fred V Fowler Co Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Fred Distribution Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Mr Fred Daniel Mngara Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Fred Samimi Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Fred Moseley Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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.

Graph and download economic data for Secured Overnight Financing Rate (SOFR) from 2018-04-03 to 2025-12-01 about financing, overnight, securities, rate, and USA.

Graph and download economic data for Initial Claims (ICSA) from 1967-01-07 to 2025-11-22 about initial claims, headline figure, and USA.

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.

Fred Salas Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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.

Fred Chukwu Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Content

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).

Context

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

Acknowledgements

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

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