The benchmark interest rate in the United States was last recorded at 4.25 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset contains the text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements, collected by scraping the Federal Reserve's website. The data spans a specific period of time, providing insights into the central bank's monetary policy decisions and discussions.

Content

The dataset consists of the following columns:

• Date: The date of the FOMC meeting or statement release in the format YYYYMMDD.
• Type: Indicator for the type of document. 0 represents a statement, while 1 represents meeting minutes.
• Text: The text content of each paragraph in the meeting minutes or statements.

Acknowledgements

The data is collected from the official Federal Reserve website (https://www.federalreserve.gov) using a custom Python scraper built with BeautifulSoup.

Inspiration

This dataset can be used for various purposes, such as:

1. Analyzing the sentiment and tone of FOMC meeting minutes and statements over time.
2. Identifying key phrases and words that indicate changes in monetary policy.
3. Developing natural language processing models to predict future policy decisions based on historical data.
4. Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Mexico was last recorded at 7.75 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Canada was last recorded at 2.50 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Political interest and attitude to the policies of the Federal Government. Topics: judgement on the current economic situation in the FRG and on one´s own economic situation; assessment of economic development; attitude to the ´emergency laws´, reform of the right to vote, revaluation of the DM, equal legal status for illegitimate children, the statute of limitations for crimes in the Third Reich, co-determination, ´internal leadership´ in the Federal German Armed Forces, restoration of law and order at the universities, prohibition of the NPD, Ostpolitik and the Leber plan; satisfaction with the Federal Government and the grand coalition; issue competence of the parties and politicians; advantages and disadvantages of the candidates for chancellor and the major political parties; preferred federal chancellor; sympathy and degree of familiarity of federal politicians; preferred Federal President; political interest; political participation and perceived opportunity for political influence; rank order of political goals; rank order of party preference; party support and party membership; extent to which informed politically and partner for conversation about Federal Parliament elections and parties; party preference of persons to relate to; comparison of personal opinion with the view of the majority of the population; leading party in the residential quarter; behavior at the polls in the Federal Parliament elections 1965 and 1969 and in the state parliament election; most important task of the new Federal Government; general judgement on persons in leadership positions in politics and economy; voting decision of spouse; membership in clubs and organizations as well as interest in membership in a trade union; membership in a professional organization and party preference of the members of this association; party preference of colleagues; company size; memberships of father; social origins; local residency and city size; satisfaction with education and with place of residence; media usage and knowledge about political television broadcasts; judgement on education in parental home; membership in organizations for refugees or ethnic Germans from Eastern Europe; memory of the first survey. Demography: age; sex; marital status; religious denomination; religiousness; school education; vocational training; occupation; professional position; employment; household income; composition of household; head of household; economic area; housing situation; party preference; party membership; party inclination; party identification; state; regional origins; refugee status; possession of durable economic goods. Interviewer rating: willingness of respondent to cooperate; date of interview; number of contact attempts; interest of respondent in political problems; level to which respondent is politically informed. Also encoded was: municipality code. Politisches Interesse und Einstellung zur Politik der Bundesregierung. Themen: Beurteilung der aktuellen wirtschaftlichen Lage in der BRD und der eigenen wirtschaftlichen Situation; Einschätzung der wirtschaftlichen Entwicklung; Einstellung zu den Notstandsgesetzen, zur Wahlrechtsreform, zur DM-Aufwertung, zur rechtlichen Gleichstellung unehelicher Kinder, zur Verjährung von Verbrechen im Dritten Reich, zur Mitbestimmung, zur Inneren Führung in der Bundeswehr, zur Wiederherstellung von Ruhe und Ordnung an den Universitäten, zum Verbot der NPD, zur Ostpolitik und zum Leber-Plan; Zufriedenheit mit der Bundesregierung und der Großen Koalition; Issue-Kompetenz der Parteien und Politiker; Vor- und Nachteile der Kanzlerkandidaten und der großen politischen Parteien; bevorzugter Bundeskanzler; Sympathie und Bekanntheitsgrad von Bundespolitikern; präferierter Bundespräsident; politisches Interesse; politische Partizipation und wahrgenommene Möglichkeiten politischer Einflußnahme; Rangfolge politischer Ziele; Rangfolge der Parteipräferenzen; Parteiunterstützung und Parteimitgliedschaft; politische Informiertheit und Partner für Gespräche über Bundestagswahlen und Parteien; Parteipräferenz der Bezugspersonen; Vergleich der eigenen Meinung mit der Mehrheitsansicht der Bevölkerung; führende Partei im Wohnviertel; Wahlverhalten bei den Bundestagswahlen 1965 und 1969 und bei der Landtagswahl; wichtigste Aufgabe der neuen Bundesregierung; allgemeine Beurteilung der Personen in führenden Positionen in Politik und Wirtschaft; Wahlentscheidung des Ehepartners; Mitgliedschaft in Vereinen und Organisationen sowie Interesse an der Mitgliedschaft in einer Gewerkschaft; Mitgliedschaft in einem Berufsverband und Parteipräferenz der Mitglieder dieses Verbandes; Parteipräferenz der Arbeitskollegen; Betriebsgröße; Mitgliedschaften des Vaters; soziale Herkunft; Ortsansässigkeit und Ortsgröße; Zufriedenheit mit der Ausbildung und mit dem Wohnort; Mediennutzung und Kenntnis politischer Fernsehsendungen; Beurteilung der Erziehung im Elternhaus; Mitgliedschaft in Flüchtlings- oder Aussiedlerorganisationen; Rückerinnerung an die erste Befragung. Demographie: Alter; Geschlecht; Familienstand; Konfession; Religiosität; Schulbildung; Berufsausbildung; Beruf; berufliche Position; Berufstätigkeit; Haushaltseinkommen; Haushaltszusammensetzung; Haushaltungsvorstand; Wirtschaftsraum; Wohnsituation; Parteipräferenz; Parteimitgliedschaft; Parteineigung; Parteiidentifikation; Bundesland; regionale Herkunft; Flüchtlingsstatus; Besitz langlebiger Wirtschaftsgüter. Interviewerrating: Kooperationsbereitschaft des Befragten; Interviewdatum; Anzahl der Kontaktversuche; Interesse des Befragten an politischen Problemen; Niveau politischer Informiertheit des Befragten. Probability: MultistageProbability.Multistage Wahrscheinlichkeitsauswahl: Mehrstufige ZufallsauswahlProbability.Multistage

The benchmark interest rate in Indonesia was last recorded at 4.75 percent. This dataset provides - Indonesia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Since 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decision-making (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans.

Label Interpretation

LABEL_2: NeutralLABEL_1: HawkishLABEL_0: Dovish

  Citation and Contact Information





  Cite

Please cite our paper if you use any code, data, or models. @inproceedings{shah-etal-2023-trillion, title = "Trillion Dollar Words: A New Financial Dataset, Task {&} Market Analysis", author = "Shah, Agam and Paturi, Suvan and Chava, Sudheer", booktitle = "Proceedings of the 61st Annual Meeting of the Association for… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/fomc_communication.

Antidumping and countervailing duty decisions published in the Federal Register and their accompanying unpublished issues and decision memoranda.

overview: The corona jurisprudence of the Federal Constitutional Court (BVerfG-Corona) is a fully automated compilation of all decisions of the Federal Constitutional Court associated with the novel coronavirus (SARS-CoV-2). This data set is based on the corpus of the decisions of the Federal Constitutional Court (CE-BVerfG) and documents all decisions that contain the templates "Corona", "SARS-CoV" or "COVID" in full text. Please note the codebook of the CE-BVerfG! It contains important information on the correct use of the data set. It also helps in deciding which variant is best for you. I usually recommend the PDF collection for traditional research and the CSV files for quantitative research. The BVerfG-Corona does not contain a CSV variant of the decisions, please use the CE-BVerfG for this.

Update: This data set is updated approximately every 3 months during the corona pandemic. I always publish notifications about new and updated data sets promptly on Twitter at @FobbeSean. Key dataDeadline: January 8, 2021Scope of content: 56 decisions (version 2021-01-08)Formats: PDF and TXT Source code and compilation report. The entire creation process is fully automated and documented in detail from version 2021-01-08. With each compilation of the complete data set, a comprehensive compilation report is created in an attractively designed PDF format (similar to the codebook).The compilation report contains the complete source code, documents relevant calculation results, provides time stamps accurate to the second and is provided with a clickable table of contents. It is stored together with the source code. If you are interested in details of the creation process, please read this first. The complete source code is publicly available and permanently accessible in the scientific archive of CERN under this link: https://doi.org/10.5281/zenodo.4459416 Cryptographic signatures. The integrity and authenticity of the individual archives of the data record are ensured by a two-phase signature. In phase I, hash values ​​are calculated for each ZIP archive during compilation using two different methods (SHA2-256 and SHA3-512) and documented in a CSV file. In phase II this CSV file is signed with my personal secret GPG key. This procedure ensures that the compilation can be carried out by anyone, especially in the context of replications, but that there is still personal guarantee of results. The CSV file with the hash checksums created during the compilation of the data set is provided with my personal GPG signature. The public key corresponding to this version is stored with both the data set and the source code. It has the following characteristics: Name: Sean Fobbe (fobbe-data@posteo.de)Fingerprint: FE6F B888 F0E5 656C 1D25 3B9A 50C4 1384 F44A 4E42 No copyright: public domainIn accordance with Section 5 (1) UrhG, there is no copyright in the decision-making texts and official guidelines, as they are official works. § 5 UrhG is to be applied analogously to official databases (BGH, decision of September 28, 2006 - I ZR 261/03, "Saxon tendering service"). All my own contributions (e.g. by compiling and adapting the metadata) and thus the entire data set are completely copyright-free in accordance with a CC0 1.0 Universal Public Domain License. DisclaimerThis data set is a private scientific initiative and has no connection with the Federal Constitutional Court or with the editors of the BVerfGE. Further Open Access Publications (Fobbe)You can find more open data here: https://zenodo.org/communities/sean-fobbe-data/You can find my code repository here: https://zenodo.org/communities/sean-fobbe-code/Full texts of regular publications are available here: https://zenodo.org/communities/sean-fobbe-publications/ ContactFound a mistake? Suggestions? Either report this in the issue tracker on GitHub or send me an email to fobbe-data@posteo.de

The meeting calendar of the Federal Prevailing Rate Advisory Committee (FPRAC), which studies the prevailing (market) rate system for wages and other matters pertinent to the establishment of prevailing rates. These dates are also announced in the Federal Register.

Dataset Card for FOMC Press Conferences - Jerome Powell Era

The FOMC Press Conferences - Jerome Powell Era dataset contains comprehensive transcripts of all Federal Open Market Committee (FOMC) press conferences chaired by Jerome Powell from 2018 to 2025. This unique dataset captures the complete Q&A sessions where Chairman Powell explains monetary policy decisions, economic outlook, and responds to journalists' questions about the Federal Reserve's actions.

  Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/BoostedJonP/jerome-powell-press-release-QA.

The benchmark interest rate in Russia was last recorded at 17 percent. This dataset provides the latest reported value for - Russia Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Federal Heights. The dataset can be utilized to gain insights into gender-based income distribution within the Federal Heights population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Federal Heights, among individuals aged 15 years and older with income, there were 5,192 men and 3,880 women in the workforce. Among them, 3,059 men were engaged in full-time, year-round employment, while 1,711 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.28% fell within the income range of under $24,999, while 15.37% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 3.76% of men in full-time roles earned incomes exceeding $100,000, while 5.49% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Federal Heights median household income by race. You can refer the same here

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

Judgement on the old and the new Federal Government as well as the election campaign, the parties and politicians shortly after the Federal Parliament election. Topics: judgement on the aptitude of Kiesinger as federal chancellor and on the success of the foreign policy of the FRG in the last few years; attitude to the Oder-Neisse Line and to recognition of the GDR; judgement on the achievements of the Federal Government, the parties and the most important politicians (scale); most important tasks of the future government; familiarity of election slogans and assignment of the slogans to parties; attendance at election meetings; judgement on the election campaign; sources of political information; media usage and paying attention to news broadcasts as well as advertising broadcasts of the parties on television; attitude to co-determination; personal election participation; time of personal voting decision; personal change in party voted for from 1965 to 1969; splitting; voting decision of spouse; time of information about the election result; party preference; importance of areas of life; self-assessment of vertical mobility; going to the movies; religiousness; membership in a trade union; satisfaction with the economic situation; general contentment with life; judgement on price development; intelligence test (short form). Demography: age (classified); sex; marital status; religious denomination; school education; occupation; employment; income; size of household; head of household; city size; state; refugee status. Interviewer rating: social class and willingness of respondent to cooperate. Beurteilung der alten und der neuen Bundesregierung sowie des Wahlkampfes, der Parteien und der Politiker kurz nach der Bundestagswahl. Themen: Beurteilung der Eignung Kiesingers als Bundeskanzler und des Erfolgs der Außenpolitik der BRD in den letzten Jahren; Einstellung zur Oder-Neiße-Linie und zur Anerkennung der DDR; Beurteilung der Leistungen der Bundesregierung, der Parteien und der wichtigsten Politiker (Skalometer); wichtigste Aufgaben der zukünftigen Regierung; Bekanntheit von Wahlslogans und Zuordnung der Slogans zu den Parteien; Besuch von Wahlversammlungen; Beurteilung des Wahlkampfs; Quellen politischer Information; Mediennutzung und Beachtung von Nachrichtensendungen sowie Werbesendungen der Parteien im Fernsehen; Einstellung zur Mitbestimmung; eigene Wahlbeteiligung; Zeitpunkt der eigenen Wahlentscheidung; eigene Wechselwählerschaft von 1965 zu 1969; Splitting; Wahlentscheidung des Ehepartners; Zeitpunkt der Information über das Wahlergebnis; Parteipräferenz; Wichtigkeit der Lebensbereiche; Selbsteinschätzung der vertikalen Mobilität; Kinobesuche; Religiosität; Mitgliedschaft in einer Gewerkschaft; Zufriedenheit mit der wirtschaftlichen Situation; allgemeine Lebenszufriedenheit; Beurteilung der Preisentwicklung; Intelligenztest (Kurzform). Demographie: Alter (klassiert); Geschlecht; Familienstand; Konfession; Schulbildung; Beruf; Berufstätigkeit; Einkommen; Haushaltsgröße; Haushaltungsvorstand; Ortsgröße; Bundesland; Flüchtlingsstatus. Interviewerrating: Schichtzugehörigkeit und Kooperationsbereitschaft des Befragten.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Federal Dam. The dataset can be utilized to gain insights into gender-based income distribution within the Federal Dam population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Federal Dam, among individuals aged 15 years and older with income, there were 42 men and 59 women in the workforce. Among them, 12 men were engaged in full-time, year-round employment, while 13 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 16.67% fell within the income range of under $24,999, while 23.08% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 16.67% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Federal Dam median household income by race. You can refer the same here