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Graph and download economic data for Scientific Research and Development Job Postings on Indeed in the United States (IHLIDXUSTPSCREDE) from 2020-02-01 to 2025-07-04 about R&D, science, jobs, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employed full time: Wage and salary workers: Computer scientists and systems analysts occupations: 16 years and over: Women (LEU0254690600A) from 2000 to 2010 about analysts, computers, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.
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.
Cover photo by AbsolutVision on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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Graph and download economic data for Employed full time: Wage and salary workers: Computer scientists and systems analysts occupations: 16 years and over (LEU0254477000A) from 2000 to 2010 about analysts, computers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements. It was collected by scraping the Federal Reserve's official website. The dataset provides insights into the central bank's monetary policy decisions and discussions, spanning a specific period of time.
The dataset is typically provided in CSV file format. While specific total row or record counts are not detailed, the data contains a substantial volume of text from numerous documents across various dates.
This dataset is ideal for various analytical and research purposes, including: * Analysing the sentiment and tone of FOMC meeting minutes and statements over time. * Identifying key phrases and words that signify shifts in monetary policy. * Developing natural language processing (NLP) models to forecast future policy decisions based on historical data. * Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.
The dataset primarily covers the activities and discussions of the Federal Reserve's Federal Open Market Committee, making its scope relevant to US economic and financial policy. The data spans a specific, extended period of time, though precise start and end dates are not explicitly detailed in the general description. The listing indicates a global region for the dataset's availability.
CCO
This dataset is particularly valuable for: * Economists and financial analysts studying central bank policy and its impact. * Data scientists and NLP practitioners looking to build models based on financial text data. * Academic researchers investigating monetary policy, economic trends, and financial markets. * Journalists reporting on central banking and economic policy.
Original Data Source: Federal Reserve FOMC Minutes & Statements Dataset
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains the textual data of Federal Reserve Federal Open Market Committee (FOMC) meeting statements and minutes. Its purpose is to provide a historical archive of communications from the US central bank, offering valuable context and insights into monetary policy decisions and economic outlooks over time. The dataset is regularly updated, ensuring access to the latest official communications.
The dataset is typically provided in a CSV (Comma Separated Values) format. It includes communications from 2 February 2000 to 18 June 2025. The file is updated on a weekly basis with new data sourced directly from the Federal Reserve website. Based on available information, there are approximately 420 records within the specified date range. The dataset comprises roughly 52% minutes and 48% statements.
This dataset is ideal for various applications and use cases, particularly within finance, banking, and economics. It can be used for: * Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling on central bank communications. * Economic research to analyse policy shifts, communication strategies, and their impact on financial markets. * Financial modelling and forecasting, by integrating insights from official monetary policy communications. * Academic studies on central banking, macroeconomic policy, and financial history.
The dataset covers the period from 2 February 2000 to 18 June 2025, providing an extensive historical record of FOMC communications. While the content focuses on US monetary policy, which is inherently US-centric, the dataset's availability is global, making it accessible to users worldwide. There are no specific notes on data availability for certain demographic groups or years, as the data represents official public releases.
CC0
This dataset is designed for a wide range of users, including: * Financial analysts and economists seeking to understand and forecast monetary policy decisions. * Data scientists and machine learning engineers developing NLP models for financial text. * Academic researchers in economics, finance, and political science studying central bank behaviour and communication. * Government policy advisors interested in historical policy decisions and their effects. * Journalists and media professionals reporting on economic and financial news.
Original Data Source: FOMC Meeting Statements & Minutes
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.
Cover photo by Loïc Mermilliod on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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.
Cover photo by Nathan Dumlao on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
Source ID: FL313066220.Q
For more information about the Flow of Funds tables, see: https://www.federalreserve.gov/apps/fof/Default.aspx
For a detailed description, including how this series is constructed, see: https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL313066220&t=
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: 1945-10-01
Observation End : 2019-04-01
This dataset is maintained using FRED's API and Kaggle's API.
Cover photo by Michael on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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.
Cover photo by Alex Ronsdorf on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women was 8.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women reached a record high of 11.00000 in January of 2017 and a record low of 1.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Conservation scientists and foresters occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.
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.
Cover photo by Simon Abrams on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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.
Cover photo by Clay Banks on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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.
Cover photo by Amruth Pillai on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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.
Cover photo by bill wegener on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval
Graph and download economic data for Software Development Job Postings on Indeed in the United States (IHLIDXUSTPSOFTDEVE) from 2020-02-01 to 2025-07-11 about software, jobs, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Women was 199.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Women reached a record high of 199.00000 in January of 2024 and a record low of 12.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Women - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Men was 232.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Men reached a record high of 232.00000 in January of 2024 and a record low of 46.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Physical scientists, all other occupations: 16 years and over: Men - last updated from the United States Federal Reserve on July of 2025.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employed full time: Wage and salary workers: Computer programmers occupations: 16 years and over (LEU0254477100A) from 2000 to 2024 about computers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employed full time: Wage and salary workers: Agricultural and food science technicians occupations: 16 years and over: Women (LEU0254695600A) from 2000 to 2024 about technicians, science, occupation, females, full-time, agriculture, salaries, workers, 16 years +, food, wages, employment, and USA.
https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval
Graph and download economic data for Scientific Research and Development Job Postings on Indeed in the United States (IHLIDXUSTPSCREDE) from 2020-02-01 to 2025-07-04 about R&D, science, jobs, and USA.