📝 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.

Dataset

This dataset was created by LY4guh

Contents

United States Avg Weekly Hours: Financial Activities data was reported at 37.500 Hour in Oct 2018. This records a decrease from the previous number of 38.200 Hour for Sep 2018. United States Avg Weekly Hours: Financial Activities data is updated monthly, averaging 37.100 Hour from Mar 2006 (Median) to Oct 2018, with 152 observations. The data reached an all-time high of 38.400 Hour in Aug 2015 and a record low of 36.100 Hour in Nov 2007. United States Avg Weekly Hours: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Employment Statistics Survey: Average Weekly Hours.

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.

United States Agg Weekly Hours: sa: Index: Financial Activities data was reported at 106.600 2007=100 in Oct 2018. This records an increase from the previous number of 105.400 2007=100 for Sep 2018. United States Agg Weekly Hours: sa: Index: Financial Activities data is updated monthly, averaging 98.450 2007=100 from Mar 2006 (Median) to Oct 2018, with 152 observations. The data reached an all-time high of 106.600 2007=100 in Oct 2018 and a record low of 92.800 2007=100 in Dec 2009. United States Agg Weekly Hours: sa: Index: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G035: Current Employment Statistics Survey: Aggregate Weekly Payroll and Hours Index.

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.

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

United States Avg Weekly Hours: sa: Financial Activities data was reported at 37.800 Hour in Nov 2018. This stayed constant from the previous number of 37.800 Hour for Oct 2018. United States Avg Weekly Hours: sa: Financial Activities data is updated monthly, averaging 37.200 Hour from Mar 2006 (Median) to Nov 2018, with 153 observations. The data reached an all-time high of 37.800 Hour in Nov 2018 and a record low of 36.400 Hour in Nov 2007. United States Avg Weekly Hours: sa: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G038: Current Employment Statistics Survey: Average Weekly Hours: Seasonally Adjusted.

United States - Indexes of Aggregate Weekly Hours of All Employees, Financial Activities was 113.90000 Index 2007=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Indexes of Aggregate Weekly Hours of All Employees, Financial Activities reached a record high of 114.30000 in June of 2025 and a record low of 92.80000 in December of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Indexes of Aggregate Weekly Hours of All Employees, Financial Activities - last updated from the United States Federal Reserve on November of 2025.

United States Agg Weekly Hours Index: sa: PW: Financial Activities data was reported at 116.600 2002=100 in Nov 2018. This records a decrease from the previous number of 116.700 2002=100 for Oct 2018. United States Agg Weekly Hours Index: sa: PW: Financial Activities data is updated monthly, averaging 82.900 2002=100 from Jan 1964 (Median) to Nov 2018, with 659 observations. The data reached an all-time high of 116.700 2002=100 in Oct 2018 and a record low of 41.400 2002=100 in Jan 1964. United States Agg Weekly Hours Index: sa: PW: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G036: Current Employment Statistics Survey: Aggregate Weekly Payroll and Hours Index: Production Workers.

United States Agg Weekly Payrolls Index: sa: PW: Financial Activities data was reported at 191.100 2002=100 in Jun 2018. This records an increase from the previous number of 190.800 2002=100 for May 2018. United States Agg Weekly Payrolls Index: sa: PW: Financial Activities data is updated monthly, averaging 52.450 2002=100 from Jan 1964 (Median) to Jun 2018, with 654 observations. The data reached an all-time high of 191.100 2002=100 in Jun 2018 and a record low of 5.800 2002=100 in May 1964. United States Agg Weekly Payrolls Index: sa: PW: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G036: Current Employment Statistics Survey: Aggregate Weekly Payroll and Hours Index: Production Workers.

United States Avg Weekly Earnings: FA: Other Financial Investment Activities data was reported at 1,974.890 USD in May 2018. This records a decrease from the previous number of 2,099.080 USD for Apr 2018. United States Avg Weekly Earnings: FA: Other Financial Investment Activities data is updated monthly, averaging 1,709.030 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 2,099.080 USD in Apr 2018 and a record low of 1,413.860 USD in Mar 2006. United States Avg Weekly Earnings: FA: Other Financial Investment Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

United States Avg Weekly Hours: sa: PW: Mfg: Printing & Support Activities data was reported at 39.700 Hour in Jun 2018. This stayed constant from the previous number of 39.700 Hour for May 2018. United States Avg Weekly Hours: sa: PW: Mfg: Printing & Support Activities data is updated monthly, averaging 39.000 Hour from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 40.100 Hour in Oct 2015 and a record low of 37.400 Hour in May 2009. United States Avg Weekly Hours: sa: PW: Mfg: Printing & Support Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G040: Current Employment Statistics Survey: Average Weekly Hours: Production Workers: Seasonally Adjusted.

United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data was reported at 1,911.910 USD in Sep 2018. This records an increase from the previous number of 1,799.030 USD for Aug 2018. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data is updated monthly, averaging 1,464.970 USD from Mar 2006 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 1,912.710 USD in Apr 2018 and a record low of 1,242.460 USD in Oct 2013. United States Avg Weekly Earnings: FA: All Other Financial Investment Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

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.

Average Weekly Earnings of All Employees: Financial Activities in Montana (DISCONTINUED) was 1064.66390 $ per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Earnings of All Employees: Financial Activities in Montana (DISCONTINUED) reached a record high of 1160.58887 in January of 2022 and a record low of 697.53429 in August of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of All Employees: Financial Activities in Montana (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

United States Avg Weekly Earnings: FA: Credit Intermediation & Rel Activities data was reported at 1,293.010 USD in May 2018. This records a decrease from the previous number of 1,325.410 USD for Apr 2018. United States Avg Weekly Earnings: FA: Credit Intermediation & Rel Activities data is updated monthly, averaging 997.880 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,325.410 USD in Apr 2018 and a record low of 826.130 USD in Mar 2006. United States Avg Weekly Earnings: FA: Credit Intermediation & Rel Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

Dataset

This dataset was created by cTatu

Contents

Impact of economic downturn on cultural and leisure activities and events Source agency: Culture, Arts and Leisure (Northern Ireland) Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Cultural and leisure activities and events: Impact of economic downturn