📝 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.

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

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.

Dataset

This dataset was created by cTatu

Contents

Guyana is the 121 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Guyana Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Puerto Rico scored 4.64 points out of 100 on the 2019 Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Puerto Rico Competitiveness Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

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.

Overview with Chart & Report: Markit Manufacturing PMI monthly reflects the activity of the manufacturing sector purchasing managers in the eurozone. The index is calculated based on the surveys of representatives of 3,000

The United States recorded a capital and financial account surplus of 190139 USD Million in September of 2025. This dataset provides the latest reported value for - United States Net Treasury International Capital Flows - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The S&P Global Composite PMI in Brazil is an economic indicator that measures the overall health of the country's private sector by combining data from both the manufacturing and services sectors.-2025-10-03

The S&P Global Services PMI in Brazil is an economic indicator that measures the activity level of purchasing managers in the services sector, providing insights into business conditions.-2025-12-03

Malta is the 38 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Malta Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Bolivia scored 51.80 points out of 100 on the 2019 Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Bolivia Competitiveness Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Madagascar is the 132 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Madagascar Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Liberia scored 40.55 points out of 100 on the 2019 Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Liberia Competitiveness Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Libya is the 126 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Libya Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Slovakia is the 42 most competitive nation in the world out of 140 countries ranked in the 2019 edition of the Global Competitiveness Report published by the World Economic Forum. This dataset provides the latest reported value for - Slovakia Competitiveness Rank - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.