The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in the United States contracted 0.50 percent in the first quarter of 2025 over the previous quarter. This dataset provides the latest reported value for - United States GDP Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset consists of approximately 8,000 news articles focused on the US Economy. Each article has been tagged for its relevance to the US Economy and analysed for its tone. This dataset is particularly useful for Natural Language Processing (NLP) tasks, offering a valuable resource for sentiment analysis, text classification, and information extraction related to economic news.

Columns

• _unit_id: A unique identifier for each unit or article.
• _golden: Indicates whether the entry is a golden record.
• _unit_state: The state of the unit.
• _trusted_judgments: A factor indicating the trustworthiness of the judgments made on the data.
• _last_judgment_at: The timestamp of the last judgment on the article.
• positivity: A score indicating the positivity of the article's tone.
• positivity:confidence: The confidence level associated with the positivity score.
• relevance: Indicates whether the article is relevant to the US Economy (e.g., 'yes' or 'no').
• relevance:confidence: The confidence level associated with the relevance tag.
• articleid: A unique identifier for the news article.

Distribution

The dataset typically comes in a CSV format. It contains approximately 8,000 news articles, with the data spanning from 17th November 2015 to 6th December 2015. Specific numbers for rows or records are available, with 8,000 entries represented in total.

Usage

This dataset is ideal for various applications, including: * Natural Language Processing (NLP) research and model training. * Developing sentiment analysis models for economic news. * Creating tools for economic news classification (relevant/not relevant). * Analysing trends in economic media coverage and public sentiment. * Training machine learning models for text mining in finance and economics.

Coverage

The dataset's focus is on US economic news articles. The articles cover a time range from 17th November 2015 to 6th December 2015. While the content is specific to the US Economy, the dataset itself is listed with a global region for distribution, meaning it can be accessed worldwide. There are no specific notes on demographic scope within the articles themselves.

License

CCO

Who Can Use It

• Data Scientists and AI/ML Researchers: For developing and testing NLP models on real-world economic text.
• Economists and Financial Analysts: To gain insights into how economic events are portrayed in the media and their perceived relevance.
• Academics and Students: For research projects on economic news sentiment, text analysis, and media studies.
• Media Monitoring Professionals: To track and analyse the coverage of economic topics.

Dataset Name Suggestions

• US Economic News Relevance and Tone Dataset
• US Economic News Articles for NLP
• Economic News Sentiment Analysis Dataset (US)
• US Economy News Articles (2015)

Attributes

Original Data Source:US Economic News Articles (Useful for NLP)

Daily News Sentiment Index data was reported at -0.085 Index in 04 May 2025. This records an increase from the previous number of -0.104 Index for 03 May 2025. Daily News Sentiment Index data is updated daily, averaging 0.017 Index from Jan 1980 (Median) to 04 May 2025, with 16542 observations. The data reached an all-time high of 0.330 Index in 05 Mar 2017 and a record low of -0.671 Index in 15 May 2020. Daily News Sentiment Index data remains active status in CEIC and is reported by Federal Reserve Bank of San Francisco. The data is categorized under Global Database’s United States – Table US.S030: Daily News Sentiment Index.

Live Briefs Investor – US Covering thousands of listed securities and events across 80 news categories, Live Briefs Investor US is specifically designed to keep individual investors and active traders on top of breaking news that is likely to affect their portfolios.

Most of the largest and most respected retail and self-directed brokerage firms in the North America rely on MT Newswires to provide their clients with complete coverage of the financial markets. The Investor service includes timely and insightful commentary on equities, commodities, ETFs, economics, forex, options and fixed income assets throughout the day (6:30 am to 6:30 pm EST).

Every story is ticker-tagged and category-coded to allow for seamless platform integration. US Equities – significant events affecting individual public companies in the US: After-hours and pre-market news, trading activity and technical price level indications; Earnings estimate change alerts; Analyst Rating Changes- the most comprehensive view and coverage of rating changes available anywhere; ETF Power Play – daily trends in ETF trading activity; Mini and detailed sector summaries – pre-market, mid-day, and closing; Market Chatter – real-time coverage of trading desk rumors and breaking news; Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.).

Graph and download economic data for St. Louis Fed Economic News Index: Real GDP Nowcast (STLENI) from Q2 2013 to Q2 2025 about nowcast, projection, real, GDP, rate, indexes, and USA.

Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

A survey exploring perspectives on local news and the coronavirus in the United States in April 2020 revealed that ** percent of Demcorats were concerned about that their local news organization would be affected by the economic downturn caused by the pandemic. Political party identification greatly altered attitudes to this issue, with just **** percent of Republicans expressing a great deal of concern that their local outlet would be impacted.

Graph and download economic data for Economic Policy Uncertainty Index: News-Based Index for the United States (USEPUNEWSINDXM) from Jan 1900 to May 2025 about uncertainty, indexes, and USA.

United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data is updated weekly, averaging 0.000 % from Jan 2020 (Median) to 12 May 2025, with 279 observations. The data reached an all-time high of 23.580 % in 28 Dec 2020 and a record low of 0.000 % in 12 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.

There is substantial evidence that voters’ choices are shaped by assessments of the state of the economy and that these assessments, in turn, are influenced by the news. But how does the economic news track the welfare of different income groups in an era of rising inequality? Whose economy does the news cover? Drawing on a large new dataset of U.S. news content, we demonstrate that the tone of the economic news strongly and disproportionately tracks the fortunes of the richest households, with little sensitivity to income changes among the non-rich. Further, we present evidence that this pro-rich bias emerges not from pro-rich journalistic preferences but, rather, from the interaction of the media’s focus on economic aggregates with structural features of the relationship between economic growth and distribution. The findings yield a novel explanation of distributionally perverse electoral patterns and demonstrate how distributional biases in the economy condition economic accountability.

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Techsalerator’s News Event Data in Latin America offers a detailed and extensive dataset designed to provide businesses, analysts, journalists, and researchers with an in-depth view of significant news events across the Latin American region. This dataset captures and categorizes key events reported from a wide array of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable insights into regional developments, economic changes, political shifts, and cultural events.

Key Features of the Dataset: Comprehensive Coverage:

The dataset aggregates news events from numerous sources such as company press releases, industry news outlets, blogs, PR sites, and traditional news media. This broad coverage ensures a wide range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types including business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly locate and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most recent events, ensuring users have access to the latest news and can stay informed about current developments. Geographic Segmentation:

Events are tagged with their respective countries and regions within Latin America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps in understanding the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and perform comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Latin America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to Latin American news and events. Techsalerator’s News Event Data in Latin America is a crucial resource for accessing and analyzing significant news events across the region. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Key information about United States Categorical Economic Policy Uncertainty Index: United States

• United States Categorical Economic Policy Uncertainty Index was reported at 313.268 Index in Feb 2025.
• This records an increase from the previous number of 236.696 Index for Jan 2025.
• US Categorical Economic Policy Uncertainty Index data is updated monthly, averaging 93.847 Index from Jan 1985 to Feb 2025, with 482 observations.
• The data reached an all-time high of 503.012 Index in Apr 2020 and a record low of 37.266 Index in Jul 2007.
• US Categorical Economic Policy Uncertainty Index data remains active status in CEIC and is reported by Economic Policy Uncertainty.
• The data is categorized under World Trend Plus’s Economic Policy Uncertainty Index – Table: Categorical Economic Policy Uncertainty Index: By Country.