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.

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.

Graph and download economic data for Average Weekly Hours of All Employees, Financial Activities (AWHAEFA) from Mar 2006 to Sep 2025 about establishment survey, hours, financial, employment, and USA.

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.

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.

Dataset

This dataset was created by LY4guh

Contents

Graph and download economic data for Average Weekly Earnings of All Employees, Financial Activities (CES5500000011) from Mar 2006 to Sep 2025 about earnings, establishment survey, financial, employment, and USA.

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 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.

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.

This dataset aggregates real-time sentiment scores and metadata for financial news headlines, enabling rapid detection of market-moving events and trends. It includes headline text, publication details, sentiment analysis, relevance to financial markets, and links to affected stocks and sectors. Ideal for quantitative trading, risk monitoring, and financial news analytics.

Average Weekly Earnings of All Employees: Financial Activities in California (DISCONTINUED) was 1717.87758 $ per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Earnings of All Employees: Financial Activities in California (DISCONTINUED) reached a record high of 1760.85584 in January of 2022 and a record low of 1080.90054 in February of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of All Employees: Financial Activities in California (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

Average Weekly Earnings of All Employees: Financial Activities in New Jersey (DISCONTINUED) was 1718.76714 $ per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Earnings of All Employees: Financial Activities in New Jersey (DISCONTINUED) reached a record high of 1977.26603 in May of 2021 and a record low of 987.49132 in May of 2007. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of All Employees: Financial Activities in New Jersey (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

Average Weekly Earnings of All Employees: Financial Activities in Utah (DISCONTINUED) was 1262.61048 $ per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Earnings of All Employees: Financial Activities in Utah (DISCONTINUED) reached a record high of 1276.89863 in December of 2021 and a record low of 773.85794 in January 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 Utah (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia (DISCONTINUED) was 683.24788 $ per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia (DISCONTINUED) reached a record high of 883.03308 in February of 2020 and a record low of 369.38731 in March of 2003. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Earnings of Production Employees: Financial Activities: Finance and Insurance in West Virginia (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

Average Weekly Hours of All Employees: Financial Activities in New York was 36.90000 Hours per Week in August of 2025, according to the United States Federal Reserve. Historically, Average Weekly Hours of All Employees: Financial Activities in New York reached a record high of 39.10000 in November of 2020 and a record low of 35.80000 in September of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Hours of All Employees: Financial Activities in New York - last updated from the United States Federal Reserve on November of 2025.

Graph and download economic data for Average Weekly Earnings of All Employees: Financial Activities in Arizona (SMU04000005500000011) from Jan 2007 to Aug 2025 about AZ, earnings, financial, employment, and USA.

Financial news significantly influences investment decisions, stock market trends, and corporate strategies. However, extracting meaningful insights from unstructured news articles, particularly event-cause relationships, remains a challenge. This dataset addresses this gap by providing manually annotated event-cause pairs from financial news, enabling improved predictive modeling, risk assessment, and automated trading strategies.

Dataset Composition:

The dataset comprises 456 financial news articles from the following four major Indian financial news sources.

Business Standard

Economic Times

Live Mint

Moneycontrol

It covers articles from 2021 to 2025. Each entry includes annotated event-cause relationships along with metadata such as stock symbols, stock change, company names, and financial indicators. The dataset categorizes events into five key types:

Financial Reports & Earnings Announcements

Mergers & Acquisitions

Regulatory Changes & Legal Actions

Executive Leadership Changes

Market & Economic Trends

Dataset Attributes

The dataset comprises the following attributes:

Source: The origin of the news article (e.g., financial news websites).

Title: The headline of the article.

Content: The full text of the article.

Date: The publication date of the article.

Stock: Name of the Stock.

Labels: The annotation Tags (e.g., ORG, EVENT, CAUSE)

Stock Gain/Loss Percent: The percentage change in stock price associated with the event described in the article. The gain/loss percent was manually extracted from the Tickertape website.

The dataset is structured in JSON format and CSV, ensuring efficient storage and accessibility.

Applications:

This dataset supports event-cause extraction in financial NLP applications such as:

Stock market prediction using causal analysis

Algorithmic trading models incorporating financial event impact

Sentiment analysis & risk assessment for investment strategies

Corporate strategy evaluation based on financial event insights

Average Weekly Hours of All Employees: Financial Activities in Montana (DISCONTINUED) was 37.50537 Hours per Week in March of 2022, according to the United States Federal Reserve. Historically, Average Weekly Hours of All Employees: Financial Activities in Montana (DISCONTINUED) reached a record high of 39.82273 in January of 2022 and a record low of 34.83485 in June of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Hours of All Employees: Financial Activities in Montana (DISCONTINUED) - last updated from the United States Federal Reserve on December of 2025.

Graph and download economic data for Average Weekly Earnings of All Employees: Financial Activities in Montana (SMU30000005500000011) from Jan 2007 to Aug 2025 about MT, earnings, financial, employment, and USA.