41 datasets found
  1. F

    Total Revenue for Independent Artists, Writers, and Performers, All...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
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    (2024). Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF7115ALLEST
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms (REVEF7115ALLEST) from 1998 to 2022 about performance, arts, employer firms, accounting, revenue, establishments, services, and USA.

  2. T

    All Employees: Leisure and Hospitality: Independent Artists, Writers, and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 18, 2020
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    TRADING ECONOMICS (2020). All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in California [Dataset]. https://tradingeconomics.com/united-states/all-employees-leisure-and-hospitality-independent-artists-writers-and-performers-in-california-thous-of-persons-fed-data.html
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Apr 18, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    California
    Description

    All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in California was 16.30000 Thous. of Persons in January of 2021, according to the United States Federal Reserve. Historically, All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in California reached a record high of 16.40000 in January of 2006 and a record low of 10.60000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in California - last updated from the United States Federal Reserve on February of 2025.

  3. F

    Real Gross Domestic Product: All Industries in Virginia Beach City, VA

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Real Gross Domestic Product: All Industries in Virginia Beach City, VA [Dataset]. https://fred.stlouisfed.org/series/REALGDPALL51810
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Virginia, Virginia Beach
    Description

    Graph and download economic data for Real Gross Domestic Product: All Industries in Virginia Beach City, VA (REALGDPALL51810) from 2001 to 2023 about Independent City, Virginia Beach, VA, real, industry, GDP, and USA.

  4. T

    United States - Total Revenue for Independent Artists, Writers, and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 20, 2023
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    TRADING ECONOMICS (2023). United States - Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms [Dataset]. https://tradingeconomics.com/united-states/total-revenue-for-independent-artists-writers-and-performers-all-establishments-employer-firms-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms was 31755.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms reached a record high of 31755.00000 in January of 2022 and a record low of 7634.00000 in January of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms - last updated from the United States Federal Reserve on March of 2025.

  5. F

    Gross Domestic Product: Government and Government Enterprises in Alexandria...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Gross Domestic Product: Government and Government Enterprises in Alexandria City, VA [Dataset]. https://fred.stlouisfed.org/series/GDPGOVT51510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Alexandria, Virginia
    Description

    Graph and download economic data for Gross Domestic Product: Government and Government Enterprises in Alexandria City, VA (GDPGOVT51510) from 2001 to 2023 about Independent City, Alexandria, enterprises, VA, government, GDP, and USA.

  6. T

    All Employees: Leisure and Hospitality: Independent Artists, Writers, and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 29, 2020
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    TRADING ECONOMICS (2020). All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in Los Angeles-Long Beach-Glendale, CA (MD) [Dataset]. https://tradingeconomics.com/united-states/all-employees-leisure-and-hospitality-independent-artists-writers-and-performers-in-los-angeles-long-beach-glendale-ca-md-thous-of-persons-sa-fed-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 29, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Long Beach, Los Angeles County, Glendale, California
    Description

    All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in Los Angeles-Long Beach-Glendale, CA (MD) was 12.87579 Thous. of Persons in February of 2022, according to the United States Federal Reserve. Historically, All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in Los Angeles-Long Beach-Glendale, CA (MD) reached a record high of 14.15602 in January of 2022 and a record low of 7.02418 in October of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Leisure and Hospitality: Independent Artists, Writers, and Performers in Los Angeles-Long Beach-Glendale, CA (MD) - last updated from the United States Federal Reserve on March of 2025.

  7. F

    Real Gross Domestic Product: Private Services-Providing Industries in...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Real Gross Domestic Product: Private Services-Providing Industries in Baltimore City, MD [Dataset]. https://fred.stlouisfed.org/series/REALGDPSERV24510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Baltimore
    Description

    Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in Baltimore City, MD (REALGDPSERV24510) from 2001 to 2023 about Independent City, Baltimore, services-providing, MD, private, real, industry, GDP, and USA.

  8. Credit Union Headquarters

    • data.wu.ac.at
    Updated Jul 3, 2018
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    Department of Homeland Security (2018). Credit Union Headquarters [Dataset]. https://data.wu.ac.at/schema/data_gov/YTJiZmIyMzgtZThjMi00N2IwLTkxMjMtZjIyZmE2YWY1N2E3
    Explore at:
    Dataset updated
    Jul 3, 2018
    Dataset provided by
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    Description

    The National Credit Union Administration (NCUA) is the independent federal agency that charters and supervises federal credit unions. NCUA, backed of the full faith and credit of the U.S. government, operates the National Credit Union Share Insurance Fund (NCUSIF) insuring the savings of 80 million account holders in all federal credit unions and many state-chartered credit unions.

  9. F

    Real Gross Domestic Product: Government and Government Enterprises in St....

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Real Gross Domestic Product: Government and Government Enterprises in St. Louis City, MO [Dataset]. https://fred.stlouisfed.org/series/REALGDPGOVT29510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    St. Louis, Missouri
    Description

    Graph and download economic data for Real Gross Domestic Product: Government and Government Enterprises in St. Louis City, MO (REALGDPGOVT29510) from 2001 to 2023 about Independent City, St. Louis, enterprises, MO, government, real, GDP, and USA.

  10. FHFA Conforming Loan Limits

    • hudgis-hud.opendata.arcgis.com
    • opendata.atlantaregional.com
    • +2more
    Updated Jul 31, 2023
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    Department of Housing and Urban Development (2023). FHFA Conforming Loan Limits [Dataset]. https://hudgis-hud.opendata.arcgis.com/maps/HUD::fhfa-conforming-loan-limits/explore
    Explore at:
    Dataset updated
    Jul 31, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The Federal Housing Finance Agency (FHFA) is an independent regulatory agency that is not part of the Department of Housing and Urban Development (HUD).

    The FHFA was established by the Housing and Economic Recovery Act of 2008 (HERA) and is responsible for the effective supervision, regulation, and housing mission oversight of Fannie Mae, Freddie Mac (the Enterprises), Common Securitization Solutions, LLC (CSS), and the Federal Home Loan Bank System, which includes the 11 Federal Home Loan Banks (FHLBanks) and the Office of Finance. Since 2008, FHFA has also served as conservator of Fannie Mae and Freddie Mac.

    Conforming Loan Limits are mortgage limits set annually (as required by HERA) by the FHFA. In order for a mortgage loan to be eligible to be insured by Freddie Mac or Fannie Mae, the loan amount must be less than the loan limit. Mortgage exceeding the Conforming Loan Limit are referred to as "non-conforming loans" or "jumbo loans." While most counties use a single set of Conforming Loan Limits based on the number of units, high cost of living counties use higher Conforming Loan Limits. The FHFA analyzes year-over-year change in average home prices in October of each year using the Monthly Interest Rate Survey (MIRS) to adjust the Conforming Loan Limits for the upcoming year.

    Geospatial data in this feature service uses the Census 2010 County geographies.

    To learn more about about the FHFA, please visit:https://www.fhfa.gov/AboutUs
    
    
    
    For more information about FHFA Conforming Loan Limits, please visit:https://www.fhfa.gov/DataTools/Downloads/Pages/Conforming-Loan-Limits.aspx, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. 
    

    Date of Coverage: 2022 Data Dictionary:DD_FHFA Conforming Loan Limits

  11. F

    Real Gross Domestic Product: All Industries in Roanoke City, VA

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Real Gross Domestic Product: All Industries in Roanoke City, VA [Dataset]. https://fred.stlouisfed.org/series/REALGDPALL51770
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Roanoke, Virginia
    Description

    Graph and download economic data for Real Gross Domestic Product: All Industries in Roanoke City, VA (REALGDPALL51770) from 2001 to 2023 about Independent City, Roanoke, VA, real, industry, GDP, and USA.

  12. w

    World Bank Country Survey 2013 - Brazil

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 14, 2014
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    Public Opinion Research Group (2014). World Bank Country Survey 2013 - Brazil [Dataset]. https://microdata.worldbank.org/index.php/catalog/1891
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    Dataset updated
    Mar 14, 2014
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2013
    Area covered
    Brazil
    Description

    Abstract

    The World Bank Group is interested in gauging the views of clients and partners who are either involved in development in Brazil or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank Group's team that works in Brazil, greater insight into how the Bank's work is perceived. This is one tool the World Bank Group uses to assess the views of its critical stakeholders. With this understanding, the World Bank Group hopes to develop more effective strategies, outreach and programs that support development in Brazil at the federal/state/municipal level. The World Bank Group commissioned an independent firm to oversee the logistics of this effort in Brazil.

    This survey was designed to achieve the following objectives: - Assist the World Bank Group in gaining a better understanding of how stakeholders in Brazil perceive the Bank;

    • Obtain systematic feedback from stakeholders in Brazil regarding: · Their views regarding the general environment in Brazil; · Their overall attitudes toward the World Bank Group in Brazil; · Overall impressions of the World Bank Group's effectiveness and results, knowledge work, and communication and information sharing in Brazil; · Perceptions of the recent trends and the World Bank Group's future role in Brazil.

    • Use data to help inform Brazil country team's strategy.

    Geographic coverage

    National

    Analysis unit

    Stakeholder

    Universe

    Stakeholders of the World Bank in Brazil

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    From June to August 2013, 10,200 stakeholders of the World Bank Group in Brazil were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from the office of the President, Prime Minister/Minister, office of a parliamentarian, ministries, ministerial departments, or implementation agencies; consultants/ contractors working on World Bank Group-supported projects/programs; project management units (PMUs) overseeing implementation of a project; state Government; municipal governments; bilateral and multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community-based organizations; the media; independent government institutions; trade unions; academia/research institutes/think tanks; faith-based groups, the judiciary branch; and other organizations.

    Mode of data collection

    Internet [int]

    Research instrument

    The Questionnaire consists of 8 Sections:

    A. General Issues facing Brazil: Respondents were asked to indicate whether Brazil is headed in the right direction, what they thought were the top three development priorities in Brazil, and which areas would contribute most to reducing poverty and generating economic growth

    B. Overall Attitudes toward the World Bank Group: Respondents were asked to rate their familiarity with the World Bank, Inter-American Development Bank, Latin American Development Bank, and the International Finance Corporation, their perceived effectiveness of these organizations in Brazil, and which of these organizations they work with the most in Brazil. They were asked to rate the Bank staff's preparedness to help Brazil solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner.

    Respondents were also asked to indicate the Bank's greatest values, greatest weaknesses, the most effective instruments in helping reduce poverty in Brazil, in which sectoral areas the Bank should focus most resources, to what extent the Bank should seek to influence the global development agenda, and to what reasons respondents attributed failed or slow reform efforts. Respondents were invited to indicate at what level (federal, state, or municipal) the World Bank Group works mostly in Brazil. They were asked if the Bank is most effective when it works in one sector or multi-sectorally. Lastly, they were asked to indicate to what extent they believe the combination of financial, knowledge, and convening services provided by the Bank meets the national development needs of Brazil.

    C. World Bank Group Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results, the extent to which the Bank meets Brazil's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across thirty-two development areas, such as education, public sector governance/reform, health, transport, and anti-corruption. They were also asked to what extent they believe that Brazil receives value for money from the World Bank Group's fee-based services/products.

    D. The World Bank Group's Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts and to rate the effectiveness and quality of the Bank's knowledge work and activities, including how significant of a contribution it makes to development results and its technical quality. Respondents were also asked whether they read/consulted the most recent LAC Flagship Report and whether it provided useful information in their work.

    E. Working with the World Bank Group: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank Group's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Brazil's institutional capacity, and providing effective implementation support.

    F. The Future Role of the World Bank Group in Brazil: Respondents were asked to rate how significant a role the World Bank Group should play in Brazil in the near future and to indicate what the Bank should do to make itself of greater value. Respondents were asked to indicate to what extent they believe the World Bank Group has moved in the right direction in terms of the focus of its work in Brazil and how significant a role international development cooperation should play in Brazil's development in the near future at the federal, state, and/or municipal level.

    G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, whether they used/had used the World Bank Group website, and whether they accessed the Bank's social media channels. Respondents were also asked about their level of agreement that they know how to find information from the Bank, and that the Bank is responsive to information requests. Respondents were also asked to indicate what kind of e-services they are currently subscribed to.

    H. Background Information: Respondents were asked to indicate their current position, specialization, at what level (federal, state, or municipal) they primarily work at, whether they professionally collaborate with the World Bank Group, whether they worked with the International Finance Corporation in Brazil, their exposure to the Bank in Brazil, and their geographic location.

    Response rate

    A total of 200 stakeholders participated in the survey (2% response rate).

  13. N

    Nigeria Gross Federation Account Revenue: Non Oil

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Nigeria Gross Federation Account Revenue: Non Oil [Dataset]. https://www.ceicdata.com/en/nigeria/government-revenue-and-expenditure/gross-federation-account-revenue-non-oil
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Nigeria
    Variables measured
    Operating Statement
    Description

    Nigeria Gross Federation Account Revenue: Non Oil data was reported at 814.550 NGN bn in Dec 2017. This records a decrease from the previous number of 1,045.220 NGN bn for Sep 2017. Nigeria Gross Federation Account Revenue: Non Oil data is updated quarterly, averaging 544.060 NGN bn from Mar 2005 (Median) to Dec 2017, with 52 observations. The data reached an all-time high of 1,125.950 NGN bn in Sep 2013 and a record low of 138.900 NGN bn in Mar 2005. Nigeria Gross Federation Account Revenue: Non Oil data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.F001: Government Revenue and Expenditure. All federally-collected revenue is deposited into Federation Account, except that classified as Federal Government independent revenue. The Federation Account funds are transferred to the Federal Government, State Governments and Local Governments.

  14. F

    Real Gross Domestic Product: Government and Government Enterprises in...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Government and Government Enterprises in Suffolk City, VA [Dataset]. https://fred.stlouisfed.org/series/REALGDPGOVT51800
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Suffolk, Virginia
    Description

    Graph and download economic data for Real Gross Domestic Product: Government and Government Enterprises in Suffolk City, VA (REALGDPGOVT51800) from 2001 to 2023 about Suffolk, Independent City, enterprises, VA, government, real, GDP, and USA.

  15. c

    Trust in State and Society during the Corona Crisis (June/July 2020)

    • datacatalogue.cessda.eu
    • dbk.gesis.org
    • +3more
    Updated Mar 15, 2023
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    Trust in State and Society during the Corona Crisis (June/July 2020) [Dataset]. https://datacatalogue.cessda.eu/detail?q=89f4b67c40fb18a2ca7994a68e503e680c6b9db63c623c8c63e2244953678d18
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Berlin
    Authors
    Presse- und Informationsamt der Bundesregierung
    Time period covered
    Jun 29, 2020 - Jul 6, 2020
    Area covered
    Germany
    Measurement technique
    Telephone interview: Computer-assisted (CATI)
    Description

    The representative survey examines the trust of the German-speaking population aged 18 and over in the state and society during the Corona crisis (COVID-19). The survey wave conducted in June/July builds on a first survey wave in April 2020.

    The survey focused on the respondents´ attitudes towards the state and trust in institutions, towards actors, measures and expectations in the Corona crisis (COVID-19), their image of society and assessment of cohesion, their personal state of mind and experiences in the Corona crisis as well as media use.

    Topics: Greatest personal burden or restriction due to the Corona crisis (1. naming, 2. naming); trust in institutions (courts, science and research, churches, police, federal government, politicians, media); satisfaction with democracy; democracy as the best form of government for Germany; attitude towards the welfare state principle; social lines of conflict: strength of conflicts between different social groups (rich and poor, employers and employees, young and old, foreigners and Germans, East Germans and West Germans, women and men); strength of conflicts between left-wing political forces and right-wing political forces in Germany; right persons in leading positions in Germany; agreement with statements about the state and politics (the state is interfering too much in our lives in the Corona crisis, citizens are well informed by politics about the current measures in the Corona crisis, politics in Germany is doing most things right in dealing with the Corona crisis, the state´s financial aid is distributed fairly overall, people no longer know which measures and rules are currently in place); advocacy of separate regulations in the Corona crisis by federal states, counties and independent cities vs. rather nationwide uniform regulations; assessment of the federal government´s support measures for companies and businesses, for employees in health and care facilities, to protect the health of the population as well as for the economic situation of the population; assessment of the various measures and regulations to limit the Corona pandemic (excessive, not tough enough, just right); assessment of others´ judgement of the Corona measures; expectation of a second wave with high infection figures; consequences for public life in the event of a second wave; extent of perceived restrictions in one´s own life due to the Corona crisis; effects of the Corona crisis on one´s own financial situation; personal experience with authorities and institutions in the context of the Corona crisis (health authorities, employment agency, authorities responsible for subsidies and support from the economy, police or public order office in the case of a check to ensure compliance with the Corona measures) and evaluation of this experience; assessment of the cohesion in society in the context of the Corona crisis; expected continuation of the greater or lesser cohesion in society even in the case of a second wave of Corona measures; assessment of the cohesion in society in the context of the Corona crisis; media use: frequency of use of TV, radio and newspapers for news and information about Corona; assessment of this information as rather correct or rather not correct; party sympathy; life satisfaction; optimism about the future.

    Demography: sex; age (classified); education: school-leaving qualification or intended school-leaving qualification; university degree; occupation; job security; system-relevant occupation (police, security service, fire brigade, in the health sector or similar); occupational status; household size; number of persons in the household aged 18 and over; German citizenship.

    Additionally coded were: Respondent ID; federal state; Berlin East/West; city size; weighting factors; information for dual-frame weighting: frame: reached via mobile or fixed network; number of fixed network numbers and mobile numbers via which one can be reached; mobile only: reached at home or elsewhere; reached via an additional fixed network number (home zone or home option) on the mobile phone; fixed network connection in the household; additional mobile phone number; fixed network only: mobile phone ownership.

  16. F

    Real Gross Domestic Product: Private Services-Providing Industries in...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Private Services-Providing Industries in Virginia Beach City, VA [Dataset]. https://fred.stlouisfed.org/series/REALGDPSERV51810
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Virginia Beach, Virginia
    Description

    Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in Virginia Beach City, VA (REALGDPSERV51810) from 2002 to 2023 about Independent City, services-providing, Virginia Beach, VA, private, real, industry, GDP, and USA.

  17. F

    Real Gross Domestic Product: Private Services-Providing Industries in...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Private Services-Providing Industries in Suffolk City, VA [Dataset]. https://fred.stlouisfed.org/series/REALGDPSERV51800
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Suffolk, Virginia
    Description

    Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in Suffolk City, VA (REALGDPSERV51800) from 2001 to 2018 about Suffolk, Independent City, services-providing, VA, private, real, industry, GDP, and USA.

  18. F

    Gross Domestic Product: Private Goods-Producing Industries in Hampton City,...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Gross Domestic Product: Private Goods-Producing Industries in Hampton City, VA [Dataset]. https://fred.stlouisfed.org/series/GDPGOODS51650
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Hampton, Virginia
    Description

    Graph and download economic data for Gross Domestic Product: Private Goods-Producing Industries in Hampton City, VA (GDPGOODS51650) from 2013 to 2018 about Independent City, goods-producing, VA, private, industry, GDP, and USA.

  19. F

    Real Gross Domestic Product: Government and Government Enterprises in...

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Government and Government Enterprises in Baltimore City, MD [Dataset]. https://fred.stlouisfed.org/series/REALGDPGOVT24510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Baltimore
    Description

    Graph and download economic data for Real Gross Domestic Product: Government and Government Enterprises in Baltimore City, MD (REALGDPGOVT24510) from 2001 to 2023 about Independent City, Baltimore, enterprises, MD, government, real, GDP, and USA.

  20. F

    Real Gross Domestic Product: Private Services-Providing Industries in St....

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Real Gross Domestic Product: Private Services-Providing Industries in St. Louis City, MO [Dataset]. https://fred.stlouisfed.org/series/REALGDPSERV29510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    St. Louis, Missouri
    Description

    Graph and download economic data for Real Gross Domestic Product: Private Services-Providing Industries in St. Louis City, MO (REALGDPSERV29510) from 2011 to 2023 about Independent City, services-providing, St. Louis, MO, private, real, industry, GDP, and USA.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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(2024). Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF7115ALLEST

Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms

REVEF7115ALLEST

Explore at:
jsonAvailable download formats
Dataset updated
Jan 31, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Total Revenue for Independent Artists, Writers, and Performers, All Establishments, Employer Firms (REVEF7115ALLEST) from 1998 to 2022 about performance, arts, employer firms, accounting, revenue, establishments, services, and USA.

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