The statistic illustrates the share of respondents who trust institutions in the United States in 2023, by institution. During the survey, 40 percent of respondents reported that they trust the government.

During a survey conducted in the United States in 2024, 57 percent of respondents said they had very little confidence in Congress. This is compared to the small businesses, where 36 percent of respondents reported having a great deal of confidence, making it the most trusted institution in the United States.

The database will be used to track SSA's contributions to Minority Serving Institutions such as Historically Black Colleges and Universities (HBCU), Tribal Colleges and Universities (TCU), Hispanic Serving Institutions (HSI), and Asian American and Native American Pacific Islander Serving Institutions (AANAPISI).

United States Avg Hourly Earnings: FA: Savings Institutions & Other data was reported at 40.020 USD in Nov 2024. This records an increase from the previous number of 39.740 USD for Oct 2024. United States Avg Hourly Earnings: FA: Savings Institutions & Other data is updated monthly, averaging 27.120 USD from Mar 2006 (Median) to Nov 2024, with 225 observations. The data reached an all-time high of 40.020 USD in Nov 2024 and a record low of 22.390 USD in Mar 2006. United States Avg Hourly Earnings: FA: Savings Institutions & Other data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G068: Current Employment Statistics Survey: Average Hourly Earnings.

Financial institution profit and loss overview, including domestic banks, foreign banks' branches in Taiwan, Mainland China banks' branches in Taiwan, credit cooperatives, bill finance companies, trust investment companies, agricultural and fisheries credit departments, and statistical postal savings and remittance business of Chunghwa Post.

Combined public and private expenditure on educational institutions, by level of education. This table is included in Section B: Financing education systems: Total expenditure on education of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Graph and download economic data for H-Statistic in Banking Market for Turkey (DDOI03TRA066NWDB) from 2010 to 2014 about h-statistics, Turkey, banks, and depository institutions.

This survey collects data on institutions of higher education and their branches (both public and nonpublic 2 year and 4 year) and is designed to obtain data on revenues and expenditures; land, building and equipment assets; balances and transactions of the physical plant and endowments.

In a survey held in 2020, 52 percent of Generation Z respondents in the United States said that they trust the military, making it the second-most trusted institution. This number rose to 63 percent when the survey was held again in 2022. In that year, the institution that Gen Z was least likely to trust was the U.S. Congress, with only 38 percent saying they had at least some trust in Congress.

The data shows the number of Institutional Deliveries at Public and Private Institutions in yearly distributions in different states of India . Note:-(1)The proportion of births occurring in health facilities in the area, or 'institutional births' or 'institutional deliveries'.

The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

GY: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 18.883 NA in 2019. This stayed constant from the previous number of 18.883 NA for 2018. GY: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 17.808 NA from Dec 2016 (Median) to 2019, with 4 observations. The data reached an all-time high of 18.883 NA in 2019 and a record low of 15.533 NA in 2017. GY: SPI: Pillar 4 Data Sources Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guyana – Table GY.World Bank.WDI: Policy and Institutions. The data sources overall score is a composity measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country’s institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.; ; Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators); Weighted Average;

This statistical table brings together aggregate data for banks, credit unions, building societies, corporations covered by the Financial Sector (Collection of Data) Act 2001 (known as Registered Financial Corporations (RFCs)) and other significant parts of the financial sector for which aggregate data are published by the RBA, the ABS and APRA.

Care should be exercised in drawing conclusions about relative sizes and rates of growth of institutions because of the different nature of their activities and different coverage of the various data collections. Coverage differences include: timing (e.g. most bank data are monthly averages until June 2000 and end-month thereafter); valuation; location (e.g. life office data before 1988 only covers assets in Australia, most other collections include overseas assets); and netting out of transactions within some groups. Coverage of some series changes over time: in recent years aggregates for individual groups have been significantly affected by conversion of non-banks to banks, reclassification between RFC categories and changes to reporting forms. Some further details of coverage can be obtained from statistical files dealing with the relevant institutions.

aReserve Bank (RBA)a data for June 1996 adjusted for change in accounting policy.

aBanks (other than RBA)a: up to 1985 inclusive refers to A$ assets in Australia only. From 1989 equals the totals shown in statistical table B2.

aOther authorised deposit-taking institutionsa excludes some ADIs, including SCCIs. Data from December 1999 inclusive are drawn from APRAas quarterly return. These data will differ from the total assets figures presented in statistical tables B7 and B8 because they include assets of all building societies and credit unions, whereas statistical tables B7 and B8 only include data for building societies and credit unions with total assets greater than or equal to $50 million.

From December 1999 data, aRFCsa cover registered corporations whose assets in Australia (including related corporations) exceed $50 million. Prior to December 1999, this threshold was set at $5 million. In April 2003, responsibility for the collection of financial statistics from RFCs was transferred from the RB to APRA. Prior to April 2003, these data were collected by the RB under the now repealed Financial Corporations Act 1974. These changes have resulted in breaks in all series covering RFCs at April 2003. aFinance companies and general financiersa includes corporations formerly registered as Category E (Pastoral Finance Companies), F (Finance Companies) and G (General Financiers) under the Financial Corporations Act 1974.

The assets of life offices and superannuation funds and other managed funds have been consolidated by the ABS. As a result, these data should not be compared to statistical tables B14aB18, which contain unconsolidated data.

aGeneral insurance officesa include both private and public sector offices. Data are sourced from the ABS Financial Accounts and relate to financial assets only.

aSecuritisation vehiclesa (commonly referred to as issuers of asset-backed securities) are special purpose vehicles set up to securitise selected assets, including residential mortgages. Many of the securities issued by these vehicles are held by other institutions shown in the table. More detailed data are shown in statistical table B19.

Nominal and real gross domestic product (at basic prices) of non-profit institutions by sub-sector, provinces and territories and Canada, annual.

The ADI Points of Presence publication is a detailed annual listing of the banking services provided to Australians by authorised deposit-taking institutions (ADIs). The data covers many types of service channels including face-to-face and electronic banking facilities. The individual points of banking presence are categorised using the Accessibility and Remoteness Index of Australia (ARIA) which classifies the locations according to accessibility or remoteness.

This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2017-2018 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3065 new records, modifications to the spatial location and/or attribution of 99,287 records, and removal of 2996 records not present in the NCES CCD data.

Competition across space can be fundamentally altered by changes in market institutions. We propose a framework that integrates market-altering policy changes in the spatial analysis of competitive behavior and incorporates endogenous breaks in explanatory variables for spatial panel datasets. This paper fills a gap in the literature between work focusing on spatial price responsiveness of agents and work on changes in market regulations that affect competition. We apply the framework to an important current fishery management policy to explore how a change from aggregate to individual fishing quotas affects the spatial price responsiveness of fish processors.

The general balance sheet for monetary institutions refers to the consolidated balance sheet of domestic banks, branches of foreign and mainland banks in Taiwan, credit cooperatives, credit departments of agricultural and fishermen's associations, the deposit and remittance departments of Chunghwa Post Co., Ltd., and the money market mutual funds. The assets, liabilities, and net worth in this table are calculated on a net basis, with claims, liabilities, and other assets and liabilities between institutions mutually offset and the net amount listed in the other items column.

Canadian government finance statistics (CGFS), statement of operations and balance sheet for health and social service institutions, annual (dollars x 1,000,000).

Financial statement filings from banks and credit unions.