📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)

This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.

  📦 Dataset Summary

Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.

Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Access LSEG's Economic database, featuring global data coverage, consumer confidence data, and macro data indicators.

The Gross Domestic Product (GDP) in the United States expanded 2 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive financial earnings dataset containing detailed quarterly earnings reports, analyst EPS estimates, revenue forecasts, market capitalization data, and historical performance metrics for 388 publicly traded companies. Includes earnings announcement dates, report timing information, financial performance indicators, and market impact analysis with real-time updates and historical comparison data for investment research and analysis.

Comprehensive financial earnings dataset containing detailed quarterly earnings reports, analyst EPS estimates, revenue forecasts, market capitalization data, and historical performance metrics for 1242 publicly traded companies. Includes earnings announcement dates, report timing information, financial performance indicators, and market impact analysis with real-time updates and historical comparison data for investment research and analysis.

Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Median data was reported at 6.000 % pa in 28 Jun 2019. This records a decrease from the previous number of 6.500 % pa for 27 Jun 2019. Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Median data is updated daily, averaging 11.750 % pa from Jan 2000 (Median) to 28 Jun 2019, with 4873 observations. The data reached an all-time high of 20.000 % pa in 30 Dec 2002 and a record low of 6.000 % pa in 28 Jun 2019. Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Median data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA038: Market Expectation: Over Selic Rate. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Brazil Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Standard Deviation data was reported at 1.020 % pa in 28 Jun 2019. This records a decrease from the previous number of 1.030 % pa for 27 Jun 2019. Brazil Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Standard Deviation data is updated daily, averaging 0.750 % pa from Jul 2002 (Median) to 28 Jun 2019, with 4246 observations. The data reached an all-time high of 2.960 % pa in 03 Jan 2003 and a record low of 0.000 % pa in 25 Jul 2002. Brazil Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA039: Market Expectation: Over Selic Rate: Annual Average. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991.

The Understanding Society: Calendar Year Dataset, 2020, is designed to enable cross-sectional analysis of individuals and households relating specifically to their annual interviews conducted in the year 2020, and, therefore, combine data collected in three waves (Waves 10, 11 and 12). It has been produced from the same data collected in the main Understanding Society study and released in the longitudinal datasets SN 6614 (End User Licence) and SN 6931 (Special Licence). Such cross-sectional analysis can, however, only involve variables that are collected in every wave in order to have data for the full sample panel. The 2020 dataset is the first of a series of planned Calendar Year Datasets to facilitate cross-sectional analysis of specific years. Full details of the Calendar Year Dataset sample structure (including why some individual interviews from 2021 are included), data structure and additional supporting information can be found in the 8988_calendar_year_dataset_2020_user_guide.

As multi-topic studies, the purpose of Understanding Society is to understand the short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move they are followed within the UK and anyone joining their households are also interviewed as long as they are living with them. The fieldwork period for a single wave is 24 months. Data collection uses computer-assisted personal interviewing (CAPI) and web interviews (from wave 7), and includes a telephone mop-up. From March 2020 (the end of wave 10 and 2nd year of wave 11), due to the coronavirus pandemic, face-to-face interviews were suspended and the survey has been conducted by web and telephone only, but otherwise has continued as before. One person completes the household questionnaire. Each person aged 16 or older participates in the individual adult interview and self-completed questionnaire. Youths aged 10 to 15 are asked to respond to a paper self-completion questionnaire. In 2020 an additional frequent web survey was separately issued to sample members to capture data on the rapid changes in people’s lives due to the COVID-19 pandemic (see SN 8644). The COVID-19 Survey data are not included in this dataset.

Further information may be found on the "https://www.understandingsociety.ac.uk/documentation/mainstage"> Understanding Society main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage.

Co-funders
In addition to the Economic and Social Research Council, co-funders for the study included the Department of Work and Pensions, the Department for Education, the Department for Transport, the Department of Culture, Media and Sport, the Department for Community and Local Government, the Department of Health, the Scottish Government, the Welsh Assembly Government, the Northern Ireland Executive, the Department of Environment and Rural Affairs, and the Food Standards Agency.

End User Licence and Special Licence versions:
There are two versions of the Calendar Year 2020 data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version. The SL version contains month and year of birth variables instead of just age, more detailed country and occupation coding for a number of variables and various income variables have not been top-coded (see xxxx_eul_vs_sl_variable_differences for more details). Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. The main longitudinal versions of the Understanding Society study may be found under SNs 6614 (EUL) and 6931 (SL).

Low- and Medium-level geographical identifiers produced for the mainstage longitudinal dataset can be used with this Calendar Year 2020 dataset, subject to SL access conditions. See the User Guide for further details.

Suitable data analysis software
These data are provided by the depositor in Stata format. Users are strongly advised to analyse them in Stata. Transfer to other formats may result in unforeseen issues. Stata SE or MP software is needed to analyse the larger files, which contain about 1,900 variables.

Consumer Credit in the United States increased to 7.37 USD Billion in June from 5.13 USD Billion in May of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive financial earnings dataset containing detailed quarterly earnings reports, analyst EPS estimates, revenue forecasts, market capitalization data, and historical performance metrics for 221 publicly traded companies. Includes earnings announcement dates, report timing information, financial performance indicators, and market impact analysis with real-time updates and historical comparison data for investment research and analysis.

Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Median data was reported at 5.500 % pa in 28 Jun 2019. This records a decrease from the previous number of 5.750 % pa for 27 Jun 2019. Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Median data is updated daily, averaging 12.500 % pa from Jan 2000 (Median) to 28 Jun 2019, with 4884 observations. The data reached an all-time high of 25.000 % pa in 30 Dec 2002 and a record low of 5.500 % pa in 28 Jun 2019. Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Median data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA038: Market Expectation: Over Selic Rate. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Standard Deviation data was reported at 0.910 % pa in 28 Jun 2019. This stayed constant from the previous number of 0.910 % pa for 27 Jun 2019. Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Standard Deviation data is updated daily, averaging 0.930 % pa from Jan 2000 (Median) to 28 Jun 2019, with 4873 observations. The data reached an all-time high of 2.940 % pa in 03 Jan 2003 and a record low of 0.390 % pa in 05 Nov 2013. Brazil Market Expectation: Over Selic Rate: Next Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA038: Market Expectation: Over Selic Rate. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Average data was reported at 6.000 % pa in 28 Jun 2019. This records a decrease from the previous number of 6.130 % pa for 27 Jun 2019. Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Average data is updated daily, averaging 11.610 % pa from Jul 2002 (Median) to 28 Jun 2019, with 4242 observations. The data reached an all-time high of 21.910 % pa in 30 Dec 2002 and a record low of 6.000 % pa in 28 Jun 2019. Market Expectation: Over Selic Rate: Annual Average: Next Calendar Year: Average data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA039: Market Expectation: Over Selic Rate: Annual Average. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Standard Deviation data was reported at 0.460 % pa in 28 Jun 2019. This records a decrease from the previous number of 0.470 % pa for 27 Jun 2019. Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Standard Deviation data is updated daily, averaging 0.450 % pa from Jan 2000 (Median) to 28 Jun 2019, with 4884 observations. The data reached an all-time high of 2.580 % pa in 21 Jun 2001 and a record low of 0.000 % pa in 14 Dec 2012. Brazil Market Expectation: Over Selic Rate: Current Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA038: Market Expectation: Over Selic Rate. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. The Over-Selic interest rate is set by the monetary authorities and has the role of signaling to economic agents the basic level of remuneration of federal securities. Its effective level is defined by the weighted average daily volume of operations backed by federal public short, medium and long-term securities at the present time. Such securities are issued by the Treasury or the Central Bank, negotiated and registered by the Special Settlement and Custody Service, Selic, in the form of repo operations. Notably, the Over-Selic interest rate has the function of guiding the other short-term interest rates of the economy, acting as a minimum limit.

Non Farm Payrolls in the United States increased by 73 thousand in July of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive financial earnings dataset containing detailed quarterly earnings reports, analyst EPS estimates, revenue forecasts, market capitalization data, and historical performance metrics for 1 publicly traded companies. Includes earnings announcement dates, report timing information, financial performance indicators, and market impact analysis with real-time updates and historical comparison data for investment research and analysis.

Consumer Spending in the United States increased to 16350.20 USD Billion in the second quarter of 2025 from 16291.80 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive financial earnings dataset containing detailed quarterly earnings reports, analyst EPS estimates, revenue forecasts, market capitalization data, and historical performance metrics for 1263 publicly traded companies. Includes earnings announcement dates, report timing information, financial performance indicators, and market impact analysis with real-time updates and historical comparison data for investment research and analysis.