📝 Description

This dataset contains over 400,000 macroeconomic events collected from global sources across more than 90 countries and regions, covering years 2020–2025. It mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets.

Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.

You can use this dataset for:

• 📈 Economic forecasting and sentiment analysis
• 💹 Financial market event-driven modeling
• 🧠 Machine learning applications on macroeconomic signals
• 🌍 Comparative studies of country-level indicators

📊 Dataset Structure

🌐 Coverage

• Zones: 90+ economies — including United States, Euro Zone, China, Japan, United Kingdom, India, Brazil, Australia, Türkiye, South Africa, and more.
• Currencies: USD, EUR, JPY, GBP, CNY, INR, and 50+ others.
• Time Period: ~2000 to 2025 (depending on data availability).
• Events Count: 409,234 records.

⚙️ Data Quality Notes

• Missing values in currency, importance, or actual columns occur mainly for minor or regional events.
• Times are reported as given in the source; some may represent local times.
• The dataset is cleaned and standardized for country and currency fields but can be further enriched with ISO country codes or UTC timestamps.

🧠 Example Use Cases

1. Market Volatility Forecasting: Use event importance and actual-vs-forecast deviations to predict short-term asset volatility.
2. Macroeconomic Trends: Track inflation or employment releases over time by country or region.
3. Event Sentiment Modeling: NLP on the event column for topic clustering (e.g., inflation vs. housing).
4. Calendar Effect Studies: Combine with asset price data (SPX, EURUSD, etc.) to measure event-driven reactions.

📦 File Info

• economic_calendar.csv

  • 409,234 rows
  • 10 columns
  • Size: ~31 MB

🏁 Tags

economics, macroeconomics, finance, forex, stock-market, forecasting, time-series, machine-learning, econometrics

🔗 Suggested License

If it’s scraped or aggregated from public calendars (like Investing.com), use: CC BY-NC-SA 4.0 — Attribution-NonCommercial-ShareAlike.

The Economic Indicator Service (EIS) aims to deliver economic content to financial institutions on both buy and sell-side and service providers. This new service currently covers 34,351 recurring macro-economic indicators from 135 countries ( as of December 16, 2019 ) such as GDP data, unemployment releases, PMI numbers etc.

Economic Indicator Service gathers the major economic events from a variety of regions and countries around the globe and provides an Economic Events Data feed and Economic Calendar service to our clients. This service includes all previous historic data on economic indicators that are currently available on the database.

Depending on availability, information regarding economic indicators, including the details of the issuing agency as well as historical data series can be made accessible for the client. Key information about EIS: • Cloud-based service for Live Calendar – delivered via HTML/JavaScript application formats, which can then be embedded onto any website using iFrames • Alternatives methods available – such as API and JSON feed for the economic calendar that can be integrated into the company’s system • Live data – updated 24/5, immediately after the data has been released • Historical data – includes a feed of all previous economic indicators available We are currently adding additional indicators/countries from Africa as well as expanding our coverage of Indicators in G20. The calendar includes the following. • Recurring & Non-recurring indicators covering 136 countries across 21 regions. • Indicators showing high, medium, and low impact data. • Indicators showing actual, previous, and forecast data. • Indicators can be filtered across 16 subtypes. • News generation for selected high-impact data. • Indicator description and historical data up to the latest eight historical points with a chart.

content

This dataset records world economic events on a calendar basis. Date, time, country/zone, currency, event name, importance level, and actual/predicted/previous economic values (if available) are among the details that are included in each row, which represents a single event. Columns such as id, date, time, zone, currency, importance, event, actual, forecast, and prior are included in the dataset. These areas aid in monitoring market-moving announcements, national public events and holidays, and economic indicators.

context

Financial analysis, forecasting, and comprehending the impact of world events on markets and currencies may all be done with this dataset. These economic calendars are used by traders, economists, and data analysts to examine how significant announcements (such as interest rates, inflation figures, and holidays) affect market activity. Time-series forecasting models, market reaction studies, and EDA initiatives that investigate the connections between financial patterns and economic events can all benefit from its support.

Economic calendar extracted from Investing.com (CSV) from 01-01-2015 to 31-12-2024 all countries

Columns

• Id of event
• Date (d-m-y)
• Hour of event
• Zone
• Currency
• Importance
• Event
• Actual
• Forecast (prediction of the market)
• Previous

Africa Economic Calendar Dataset

  Dataset Description

This dataset contains 111,450 macroeconomic events from 18 African countries, spanning from 2020 to 2025. The dataset mirrors professional economic calendars used by traders, economists, and analysts to track key economic indicators that move financial markets. Each event includes its scheduled release time, geographical zone, currency, importance level, and actual, forecast, and previous values when available.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-economic-calendar-2020-2025.

CNBC Economy Articles Dataset is an invaluable collection of data extracted from CNBC’s economy section, offering deep insights into global and U.S. economic trends, market dynamics, financial policies, and industry developments.

This dataset encompasses a diverse array of economic articles on critical topics like GDP growth, inflation rates, employment statistics, central bank policies, and major global events influencing the market. Designed for researchers, analysts, and businesses, it serves as an essential resource for understanding economic patterns, conducting sentiment analysis, and developing financial forecasting models.

Dataset Highlights

Each record in the dataset is meticulously structured and includes:

• Article Titles
• Publication Dates
• Author Names
• Content Summaries
• URLs to Original Articles

This rich combination of fields ensures seamless integration into data science projects, research papers, and market analyses.

Key Features

• Number of Articles: Hundreds of articles sourced directly from CNBC.
• Data Fields: Includes title, publication date, author, article content, summary, URL, and relevant keywords.
• Topics Covered: U.S. and global economy, GDP trends, inflation, employment, financial markets, and monetary policies.
• Format: Delivered in CSV format for easy integration with research tools and analytical platforms.
• Source: Extracted directly from CNBC’s economy news section, ensuring accuracy and relevance.

Use Cases

• Economic Research: Gain insights into U.S. and global economic policies, market trends, and industry developments.
• Sentiment Analysis: Assess the sentiment of economic articles to gauge market perspectives and investor confidence.
• Financial Modeling: Build forecasting models leveraging key economic indicators discussed in the dataset.
• Content Creation: Develop research-backed reports, articles, and presentations on economic topics.

Who Benefits?

• Researchers & Academics studying macro-economics or financial policy.
  
• Data Scientists building AI models, trend analyzers, or economic forecasting tools.
  
• Economists & Analysts need real-world news data for policy analysis.
  
• Content Strategists who write data-backed articles about economic trends.

Why Choose This Dataset?

• No need to manually scrape CNBC — data is pre-extracted and clean.
  
• High-quality economy news metadata enables detailed filtering (by date, author, topic).
  
• Ready for machine learning, sentiment analysis, or building news-based economic models.
  
• Well-suited for trend tracking, policy analysis, and economic forecasting.

Explore More News Datasets

Interested in additional structured news datasets for your research or analytics needs? Check out our news dataset collection to find datasets tailored for diverse analytical applications.

Graph and download economic data for Labor Compensation: Earnings: All Activities: Weekly for United Kingdom (LCEATT02GBQ661N) from Q1 1963 to Q3 2023 about compensation, United Kingdom, and earnings.

Graph and download economic data for Labor Compensation: Earnings: All Activities: Weekly for United Kingdom (LCEATT02GBM661N) from Jan 1963 to Oct 2023 about compensation, United Kingdom, and earnings.

Explore the intricate dance between gold prices and key economic events across major global players – Canada, Japan, USA, Russia, European Union, and China. This comprehensive dataset spans from January 2019 to December 2023, offering a nuanced analysis of how economic news from these influential regions impacts the ever-volatile gold market. Delve into the ebb and flow of financial landscapes, uncovering trends, correlations, and invaluable insights for strategic decision-making in the dynamic world of investments.

Historical Gold Price Dataset:

• Day: The day of the week when the data was recorded.
• Date: The specific date corresponding to the recorded gold price.
• Hour: The time of day when the gold price was recorded.
• Country: The country associated with the economic event or news affecting gold prices.
• Event: The economic event or news that potentially influenced gold prices.
• Actual: The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

** Economic Calendar Dataset**:

• Day: The day of the week when the economic event is scheduled.
• Date: The specific date when the economic event is expected to occur.
• Hour: The time of day when the economic event is scheduled.
• Country: The country associated with the economic event.
• Event: The specific economic event or news scheduled to take place.
• Actual The actual reported value or figure related to the economic event.
• Previous: The previously reported value or figure for the same economic event.
• Consensus: The consensus forecast or expected value for the economic event.
• Forecast: The forecasted value or figure for the economic event.

Techsalerator’s News Event Data in Asia offers a detailed and expansive dataset designed to provide businesses, analysts, journalists, and researchers with comprehensive insights into significant news events across the Asian continent. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, offering valuable perspectives on regional developments, economic shifts, political changes, and cultural occurrences.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide range of sources such as company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse array 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 find and analyze information relevant to their interests or sectors. Real-Time Updates:

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

Events are tagged with their respective countries and regions within Asia. 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 users understand 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 the evolution of news events. 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. Asian Countries and Territories Covered: Central Asia: Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan East Asia: China Hong Kong (Special Administrative Region of China) Japan Mongolia North Korea South Korea Taiwan South Asia: Afghanistan Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southeast Asia: Brunei Cambodia East Timor (Timor-Leste) Indonesia Laos Malaysia Myanmar (Burma) Philippines Singapore Thailand Vietnam Western Asia (Middle East): Armenia Azerbaijan Bahrain Cyprus Georgia Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria Turkey (partly in Europe, but often included in Asia contextually) United Arab Emirates Yemen 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 identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across Asia, 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 Asian news and events. Techsalerator’s News Event Data in Asia is a crucial resource for accessing and analyzing significant news events across the continent. By offering detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

Monthly and long-term United States economic indicators data: historical series and analyst forecasts curated by FocusEconomics.

Introduction

Explore the archive of relevant economic information: relevant news on all indicators with explanations, data on past publications on the economy of the United States, Britain, Japan and other developed countries, volatility assessments and much more. For the construction of their forecast models, the use of in-depth training is optimal, with a learning model built on the basis of EU and Forex data. The economic calendar is an indispensable assistant for the trader.

ON THIS TOPIC Telegram : @Economic Calendar Investing Forex https://t.me/economic_calendar_forex_invest This channel will wake you up 5 minutes before important events of high volatility, as well as inform you of current data for monitoring from the investing economic calendar

Data set

The data set is created in the form of an CSV, Excel spreadsheet (two files 2011-2013, 2014-2019), which can be found at boot time. You can see the source of the data on the site https://www.investing.com/economic-calendar/

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1. column - Event date
2. column - Event time (time New York)
3. column - Country of the event
4. column - The degree of volatility (possible fluctuations in currency, indices, etc.) caused by this event
5. column - Description of the event
6. column - Evaluation of the event according to the actual data, which came out better than the forecast, worse or correspond to it
7. column - Data format (%, K x103, M x106, T x109)
8. column - Actual event data
9. column - Event forecast data
10. column - Previous data on this event (with comments if there were any interim changes).

Inspiration

1. Use the historical EU in conjunction with the Forex data (exchange rates, indices, metals, oil, stocks) to forecast subsequent Forex data in order to minimize investment risks (combine fundamental market analysis and technical).
2. Historical events of the EU used as a forecast of the subsequent (for example, the calculation of the probability of an increase in the rate of the Fed).
3. Investigate the impact of combinations of EC events on the degree of market volatility at different time periods.
4. To trace the main trends in the economies of the leading countries (for example, a decrease in the demand for unemployment benefits).
5. Use the EU calendar together with the news background archive for this time interval for a more accurate forecast.

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.

The OECD Economic Outlook analyses the major economic trends over the coming 2 years. It provides in-depth coverage of the main economic issues and the policy measures required to foster growth in each member country. Forthcoming developments in selected non-OECD economies are also evaluated in detail. Each edition of the Outlook provides a unique resource to keep abreast of world economic developments. The OECD Economic Outlook database is a comprehensive and consistent macroeconomic database of the OECD economies, covering expenditures, foreign trade, output, labour markets, interest and exchange rates, balance of payments, and government debt. For the non-OECD regions, foreign trade and current account series are available.

The database contains annual data (for all variables) and quarterly figures (for a subset of variables). Variables are defined in such a way that they are as homogenous as possible for the countries covered. Breaks in underlying series are corrected as far as possible. Sources for the historical data are publications of national statistical agencies and OECD databases such as Quarterly National Accounts, Annual National Accounts, Labour Force Statistics and Main Economic Indicators.

Concerning the aggregation of world trade, a new composition has been introduced, since projections are now made for selected non-OECD economies. Thus, besides OECD and the OECD Euro Area, the following new regions are available: Dynamic Asian Economies (Chinese Taipei, Hong Kong, Malaysia, the Philippines, Singapore, Thailand, Vietnam); Oil Producers (Azerbaijan, Kazakhstan, Turkmenistan, Brunei, Timor-Leste, Bahrain, Iran, Iraq, Kuwait, Libya, Oman, Qatar, Saudi Arabia, United Arab Emirates, Yemen, Ecuador, Trinidad and Tobago, Venezuela, Algeria, Angola, Chad, Rep. of Congo, Equatorial Guinea, Gabon, Nigeria, Sudan); with the remaining countries in a residual 'Rest of the World' group.

Extracted economic calendar data from 23-01-2013 to 15-05-2023 from all countries.

Columns - date (d-m-y h:m:s) - title of the economic indicator - country from which data originate - indicator name - commentary on the change in value - actual value - previous value - forecast value for the next month - importance of the value

In September 2025, prices had increased by three percent compared to September 2024, according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restraints, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

Detailed statistics on the main economic indicators for transport and communication activities involving establishments with more than 10 employees in Qatar

In 2024, the gross domestic product (GDP) of the United Kingdom grew by 0.9 percent and is expected to grow by just one percent in 2025 and by 1.9 percent in 2026. Growth is expected to slow down to 1.8 percent in 2027, and then grow by 1.7, and 1.8 percent in 2027 and 2028 respectively. The sudden emergence of COVID-19 in 2020 and subsequent closure of large parts of the economy were the cause of the huge 9.4 percent contraction in 2020, with the economy recovering somewhat in 2021, when the economy grew by 7.6 percent. UK growth downgraded in 2025 Although the economy is still expected to grow in 2025, the one percent growth anticipated in this forecast has been halved from two percent in October 2024. Increased geopolitical uncertainty as well as the impact of American tariffs on the global economy are some of the main reasons for this mark down. The UK's inflation rate for 2025 has also been revised, with an annual rate of 3.2 percent predicated, up from 2.6 percent in the last forecast. Unemployment is also anticipated to be higher than initially thought, with the annual unemployment rate likely to be 4.5 percent instead of 4.1 percent. Long-term growth problems In the last two quarters of 2023, the UK economy shrank by 0.1 percent in Q3 and by 0.3 percent in Q4, plunging the UK into recession for the first time since the COVID-19 pandemic. Even before that last recession, however, the UK economy has been struggling with weak growth. Although growth since the pandemic has been noticeably sluggish, there has been a clear long-term trend of declining growth rates. The economy has consistently been seen as one of the most important issues to people in Britain, ahead of health, immigration and the environment. Achieving strong levels of economic growth is one of the main aims of the Labour government elected in 2024, although after almost one year in power it has so far proven elusive.

Japan Wood, Pulp & Paper: Overseas Sub: Acquisition of TFA: Excl Land data was reported at 10.009 JPY bn in Mar 2018. This records an increase from the previous number of 8.856 JPY bn for Dec 2017. Japan Wood, Pulp & Paper: Overseas Sub: Acquisition of TFA: Excl Land data is updated quarterly, averaging 3.851 JPY bn from Dec 1996 (Median) to Mar 2018, with 80 observations. The data reached an all-time high of 18.929 JPY bn in Dec 2015 and a record low of 0.360 JPY bn in Mar 1997. Japan Wood, Pulp & Paper: Overseas Sub: Acquisition of TFA: Excl Land data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.S059: Japanese Business Activities Survey: Overseas Sub: Major Indicators.

Replication code for Cajner et al. (2023): "The Importance of Blended Data: Measuring Employment at a Weekly Frequency." Code is for use with Fame. Underlying data are confidential and cannot be shared but have been detailed in previous papers.Paper abstract: The success of nontraditional data for tracking the economy during the COVID-19 pandemic has highlighted the value of traditional data for benchmarking and validation of alternative sources. We document the development of weekly employment indexes based on microdata from the payroll firm ADP. These data provided timely, high-frequency insights into labor market developments in the fast-moving pandemic environment. We describe processes for weighting and benchmarking the data to official sources, seasonally adjusting at weekly frequency, and ultimately combining the signals of ADP and official data.