The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 3 rows and is filtered where the books is Competition and monopoly in the Federal Reserve System, 1914-1951 : a micreconomics approach to monetary history. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in the United States was last recorded at 4.50 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.
The Board uses this collection to inform consumer-focused research, implement statutory requirements, and facilitate community development. The surveys in this collection inform the Board’s work by identifying emerging risks and providing additional data on the issues that affect the well-being of consumers and communities and how the financial services marketplace functions. The surveys in this collection gather quantitative and qualitative information directly from individual consumers or households (consumer surveys) on consumer finance topics. This collection also gathers quantitative and qualitative information on current and emerging community economic issues from stakeholders (stakeholder surveys). Examples of stakeholders include community groups, community development organizations, nonprofit service providers, faith-based service organizations, public sector agencies, small business owners, health care organizations, food banks, K–12 public and private schools, community colleges, community development financial institutions, credit unions, banks, and other financial institutions and companies offering financial products and services. While these surveys are ongoing, the frequency and content of the questions may change depending on economic conditions, regulatory or legislative developments, as well as changes in technology, business practices, and other factors affecting consumers, stakeholders, and communities. The Board conducts the FR 3073 as needed, up to 30 times per year. While the Board estimates that while FR 3073 may be conducted up to 30 times per year, history suggests a lower frequency is more likely.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to May 2025 about savings, personal, rate, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Federal Reserve Act of 1913 created the Reserve Bank Organizing Committee which divided the counties of the United States into twelve Federal Reserve Districts each with its own Federal Reserve Bank. The size and vitality of these districts varied. Some were densely populated with substantial urban areas and large industries. Others were sparsely populated and largely rural with the preponderance of the population working in agriculture. Some grew rapidly. Others grew slowly. To help understand the Fed’s role in the evolution of the U.S. economy, we construct a dataset with estimated annual population in each Fed district from 1890 to 1950.
The Compensation and Salary Surveys (FR 29) is comprised of the (1) Compensation and Salary Survey (FR 29a) and (2) Ad Hoc Surveys (FR 29b). The FR 29a is collected annually and the FR 29b is collected on an as needed basis but not more frequently than five times per year. These surveys collect information on salaries, employee compensation policies, and other employee programs from employers that are considered competitors of the Board. The data from the surveys primarily are used to determine the appropriate salary structure and salary adjustments for Board employees.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California (SMU06000007072259001SA) from Jan 1990 to May 2025 about restaurant, leisure, hospitality, food, CA, services, employment, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Foreign Exchange Reserves in Bangladesh decreased to 25798.20 USD Million in May from 27429.70 USD Million in April of 2025. This dataset provides - Bangladesh Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Foreign Exchange Reserves in Pakistan increased to 16597.70 USD Million in May from 14759.40 USD Million in April of 2025. This dataset provides the latest reported value for - Pakistan Foreign Exchange Reserves - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
The Collaborative Australian Protected Areas Database (CAPAD) 2014 provides both spatial and text information about government, Indigenous and privately protected areas for continental Australia. State and Territory conservation agencies supplied data current to 30 June 2014. The terrestrial component of the database has been previously released in 1997, 2000, 2002, 2004, 2006, 2008 2010 and 2012.This version, provides both spatial and text information about off-shore protected areas in both state and Commonwealth waters. State and Territory conservation agencies supplied data current for 30 June 2014. This is the seventh version of the CAPAD- Marine database, with previous versions published in 1997, 2002, 2004, 2008 2010 and 2012.CAPAD provides a snapshot of protected areas that meet the IUCN definition of a protected area:"A protected area is an area of land and/or sea especially dedicated to the protection and maintenance of biological diversity, and of natural and associated cultural resources, and managed through legal or other effective means" (IUCN 1994).The Australian Government Department of Climate Change, Energy, the Environment and Water (DOE) publishes a summary of the CAPAD data biennially on its website at https://www.dcceew.gov.au/environment/land/nrs/science/capad.This version of CAPAD 2014-Marine is a public / downloadable dataset available for use through the CC-BY licencing model.Commercial users: Commercial users should note the availability of a more descriptive dataset for Commonwealth Marine Reserves. It is recommended for use in commercial applications as it includes additional information about management arrangements for Commonwealth Marine Reserves. This dataset is available under Creative Commons Attribution Non-Commercial license from:https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B2E8DD19C-1B93-4D90-BD1C-128DDC4A2998%7D------------------------------------------------------------------------------------------------------IMPORTANT INFORMATION FOR MARINE USERS – TRANSITIONAL ARRANGEMENTSThe process for developing management plans has been completed for the five Commonwealth marine reserve networks declared around Australia and the Coral Sea Commonwealth Marine Reserve. Until the new management plans come into effect transitional management arrangements are in place. Under these transitional arrangements, there are no changes "on the water" for users in the new areas added to the Commonwealth marine reserve estate. If people hold an existing approval to undertake activities within Commonwealth marine reserves or the now-revoked Coral Sea Conservation Zone, they are able to continue to operate under the terms of the existing approval. No additional administrative requirements apply.The management plan for the South-east Network came into effect on 1 July 2013 with the management plans for the South-west, North-west, North and Temperate East Networks and the Coral Sea Commonwealth Marine Reserve are under review. More information is available at https://parksaustralia.gov.au/marine/parks/.------------------------------------------------------------------------------------------------------Main attributes in the database include:NAME: the name of the protected area.TYPE: the type of protected area according to the protected area establishment mechanism.TYPE_ABBR: the abbreviation of the TYPE.TYPE abbreviations include:AQR = Aquatic ReserveCA = Conservation AreaCMR = Commonwealth Marine ReserveDPAA = Dugong Protection Area (A)DPAB = Dugong Protection Area (B)DS = Dolphin SanctuaryFHAA = Fish Habitat Area (A)FHAB = Fish Habitat Area (B)FHPA = Fish Habitat Protection AreaIPA = Indigenous Protected AreaLS = Rock Lobster SanctuaryMAR = Marine ReserveMCA = Marine Conservation AreaMMA = Marine Management AreaMNNR = Marine National Nature ReserveMNP = Marine National ParkMNR = Marine Nature ReserveMP = Marine ParkMR = Marine ReserveMS = Marine SanctuaryNP = National ParkNR = Nature ReserveSH = Shipwreck ReserveIUCN: the IUCN protected area management category ascribed by the Managing authority, as outlined in the publication: CNPPA/WCMC "Guidelines for Protected Area management categories". Gland: IUCN, 1994. (ISBN: 2-8317-0201-1).Definitions include:IA Strict Nature Reserve: managed mainly for science;IB Wilderness Area: managed mainly for wilderness protection;II National Park: managed mainly for ecosystem protection;III Natural Monument: managed mainly for conservation of specific natural features;IV Habitat / Species Management Area: managed mainly for conservation through management intervention;V Protected Landscape / Seascape: managed mainly for landscape/seascape conservation and recreation;VI Managed Resource Protected Area: managed mainly for the sustainable use of natural ecosystems.GAZ_AREA: area in hectares as described in the nomination document (e.g. parliamentary gazettal), to the nearest hectare. Some protected areas do not have a specific area in the designation.GIS_AREA: area in hectares based on current spatial data and an Albers equal area projection for Australia.GAZ_DATE: the first gazettal or proclamation date that established any protected area at this site.LATEST_GAZ: the date of the most recent gazettal or proclamation to add land to the protected area. It can be the same date as the GAZ_DATE.NRS_PA: This attribute indicates the status of the protected area as part of the National Reserve System (NRS). "Y" = a protected area located within the Commonwealth, State and Territory jurisdiction. "N" = a protected area that does not meet the NRS criteria. "ND" = a protected area that does not meet NRS criteria, but compliments the NRS with sympathetic management.STATE: The state is the state that the protected area is located in. COM = protected areas located in Commonwealth Waters.AUTHORITY: The Authority responsible for the management of the protected area mechanism.AUTHORITY abbreviations include:DOE = Australian Government, Department of Climate Change, Energy, the Environment and WaterGBRMPA = Great Barrier Reef Marine Park AuthorityIMG = Indigenous Management GroupNSW_DPI = NSW Department of Primary IndustriesNT_PWCNT= Parks and Wildlife Commission of the NTPIRSA = Primary Industries and Resources SAQLD_DEEDI = QLD Department of Employment, Economic Development and InnovationQLD_DPIF = QLD Department of Agriculture, Fisheries and ForestryQLD_NPRSR = Queensland Department of National Parks, Recreation, Sport and RacingSA_DEWNR = South Australian Department of Environment, Water and Natural ResourcesTAS_DPIPWE = Tasmanian Department of Primary Industries, Parks, Water and EnvironmentVIC_DEPI = Victorian Department of Environment and Primary IndustriesWA_DOF = Western Australian Department of FisheriesWA_DPAW = Western Australian Department of Parks and WildlifeDATASOURCE: Describes the source of the data for the protected area, values are:DATA SOURCE abbreviations include:DOE = Australian Government, Department of Climate Change, Energy, the Environment and WaterGBRMPA = Great Barrier Reef Marine Park AuthorityNSW_DPI = NSW Department of Primary IndustriesNT_PWCNT= Parks and Wildlife Commission of the NTPIRSA = Primary Industries and Resources SAQLD_DEEDI = QLD Department of Employment, Economic Development and InnovationQLD_DPIF = QLD Department of Agriculture, Fisheries and ForestryQLD_NPRSR = Queensland Department of National Parks, Recreation, Sport and RacingSA_DEWNR = South Australian Department of Environment, Water and Natural ResourcesTAS_DPIPWE = Tasmanian Department of Primary Industries, Parks, Water and EnvironmentVIC_DEPI = Victorian Department of Environment and Primary IndustriesWA_DOF = Western Australian Department of FisheriesWA_DPAW = Western Australian Department of Parks and WildlifeGOVERNANCE: Records the type of governance that has management and decision making responsibility. G = Government, J = Joint.ENVIRON: Protected areas in the Marine CAPAD dataset are classified as 'M'. Marine components of terrestrial parks are included in CAPAD (terrestrial) as Environ= 'B' (Both).X_COORD: is the longitude in decimal degrees east within the object closest to the centre of the object using the Geodetic Datum of Australia 1994.Y_COORD: is the latitude in decimal degrees south within the object closest to the centre of the object using the Geodetic Datum of Australia 1994.OBJECTID *, Shape *, SHAPE.AREA and SHAPE.LEN are automatically generated ESRI attributesCredit:The data is supplied to the Commonwealth for compilation by States and Territories of Australia, as well as a number of large environmental NGOs. Custodianship rests with the source agencies
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-07-03 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in the United Arab Emirates was last recorded at 4.40 percent. This dataset provides - United Arab Emirates Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.