In 2021, about 174.9 billion U.S. dollars were funded by the government for postsecondary education programs in the United States. A further 92.07 billion U.S. dollars were funded by the government for elementary and secondary education in that year.

This table gives an overview of government expenditure on regular education in the Netherlands since 1900. All figures presented have been calculated according to the standardised definitions of the OECD.

Government expenditure on education consists of expenditure by central and local government on education institutions and education. The government finances schools, colleges and universities. It pays for research and development conducted by universities. Furthermore it provides student grants and loans, allowances for school costs, provisions for students with a disability and child care allowances to households as well as subsidies to companies and non-profit organisations.

Total government expenditure is broken down into expenditure on education institutions and education on the one hand and government expenditure on student grants and loans and allowances for school costs to households on the other. If applicable these subjects are broken down into pre-primary and primary education, special needs primary education, secondary education, senior secondary vocational and adult education, higher professional education and university education. Data are available from 1900. Figures for the Second World War period are based on estimations due to a lack of source material.

The table also includes the indicator government expenditure on education as a percentage of gross domestic product (GDP). This indicator is used to compare government expenditure on education internationally. The indicator is compounded on the basis of definitions of the OECD (Organisation for Economic Cooperation and Development). The indicator is also presented in the StatLine table Education; Education expenditure and CBS /OECD indicators. Figures for the First World War and Second World War period are not available for this indicator due to a lack of reliable data on GDP for these periods.

The statistic on Education spending is compiled on a cash basis. This means that the education expenditure and revenues are allocated to the year in which they are paid out or received. However, the activity or transaction associated with the payment or receipt can take place in a different year.

Statistics Netherlands published the revised National Accounts in June 2024. Among other things, GDP has been adjusted upwards as a result of the revision. The revision has not been extended to the years before 1995. In the indicator 'Total government expenditure as % of GDP', a break occurs between 1994 and 1995 as a result of the revision.

Data available from: 1900

Status of the figures: The figures from 1995 to 2022 are final. The 2023 figures are provisional.

Changes on 31 December 2024: The final figures of 2021 and 2022 and the provisional figures of 2023 have been added. As a result of the revision of the National Accounts, among other things, GDP has been adjusted upwards. The indicator ‘Total government expenditure as % of GDP’ in this table has been updated on the basis of the revised figures for the entire time series since 1995. A break occurs in the indicator between 1994 and 1995.

When will new figures be published? The final figures for 2023 and the provisional figures for 2024 will be published in December 2025. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

This statistic shows the average state and local higher education funding per full-time equivalent (FTE) student in the United States for the 2015/2016 academic year, by state. In the academic year 2015/2016, with ****** U.S. dollars per FTE student, Wyoming had the highest average state and local funding for higher education in the United States.

Fair Student Funding Budget Detail FY 2015 - Part I This detail data contains has one row for each school for each of the weights that comprise the Fair Student Funding Formula (Grade Weight, Need Weights, and Portfolio Weights). Click Here for further information- http://schools.nyc.gov/offices/d_chanc_oper/budget/dbor/allocationmemo/fy14_15/Fair_School_Funding_FY2015.html

Graph and download economic data for Federal grants-in-aid to state and local governments: Education (G170691A027NBEA) from 1959 to 2023 about grants, state & local, education, federal, government, GDP, and USA.

This dataset and do file can be used to replicate analyses presented in "State Higher Education Funding During COVID-19: Lessons from Prior Recessions and Implications for Equity." The final analytic dataset comes from three publicly available data sources: the National Center for Education Statistics' Integrated Postsecondary Education Data System (https://nces.ed.gov/ipeds, cleaned and collapsed into enrollment-weighted state-level values), State Higher Education Executive Officers' Association State Higher Education Finance Dataset (https://shef.sheeo.org/data-downloads/), and the National Association of State Student Grant and Aid Programs (NASSGAP) annual survey (https://www.nassgapsurvey.com). Financial figures have been adjusted for inflation using the Consumer Price Index.

Ready-to-Learn Television supports the development of educational television and digital media targeted at preschool and early elementary school children and their families. This data-focused toolset site contains data visualizations and downloads. Ready-to-Learn TV's general goal is to promote early learning and school readiness, with a particular interest in reaching low-income children. In addition to creating television and other media products, the program supports activities intended to promote national distribution of the programming, effective educational uses of the programming, community-based outreach, and research on educational effectiveness. CFDA Number: 84.295

Out of the OECD countries, Luxembourg was the country that spent the most on educational institutions per full-time student in 2020. On average, 23,000 U.S dollars were spent on primary education, nearly 27,000 U.S dollars on secondary education, and around 53,000 U.S dollars on tertiary education. The United States followed behind, with Norway in third. Meanwhile, the lowest spending was in Mexico.

The Education Stabilization Fund (ESF), established under the Coronavirus Aid, Relief, and Economic Security (CARES) Act, allotted $30.75 billion to the U.S. Department of Education to award grants to State Educational Agencies (SEAs), Local Educational Agencies (LEAs), and Institutions of Higher Education (IHEs) in response to COVID-19. The ESF Public Transparency Portal aggregates data on the grants and the associated grant recipients to help clarify where the funds were sent and how they were spent.

Fair Student Funding Budget Detail FY 2015 - Part II This detail data contains one row for each school's data and calculations displayed on the Details screen starting from the "TOTAL FAIR STUDENT FUNDING WEIGHTED REGISTER AND FORMULA" to the bottom of the page. Click Here for further information- http://schools.nyc.gov/offices/d_chanc_oper/budget/dbor/allocationmemo/fy14_15/Fair_School_Funding_FY2015.html

Financial information of public and private elementary and secondary education expenditures, by direct source of funds and geography.

ABSTRACT This paper investigates how television news media deals with the financing of basic education, with the aim of tracing theoretical and methodological elements for analyzing how the media can influence public opinion about schools and, consequently, underpin legislative debates and the implementation of educational policies. With an approach based on critical discourse analysis methodology, this paper originated in a quantitative and qualitative study of news media data in five cities in the state of Texas (United States of America). The data comes from these cities’ primary TV channels and local newspapers, which was used to create a historical database capable of revealing the topics of greatest journalistic coverage regarding school funding. This article presents aspects of the materials and methods used in this larger research project, focusing on the study’s quantitative results about television news coverage. The paper aims to contribute to the debate about the ideological matrices that permeate the socially constructed symbolic representation of public education and its financing through the journalistic media.

Funding of education by education level, programme orientation and recipient of funding

This chart shows the distribution of initial funding for education in France in 2020, according to the source of funding. Thus, local authorities accounted for about 22 percent of the funding of education in France.

This driver sums total federal, state and local budget allocations for primary and secondary schools. Data is presented in constant 2017 dollars and sourced from the US Department of Education.

Established in November of 2020, the Education Stabilization Fund (ESF) Public Transparency Portal at Covid-Relief-Data.ed.gov disseminates information about the Education Stabilization Funds (ESF) programs managed by the U.S. Department of Education and authorized by the Coronavirus Aid, Relief, and Economic Security Act (CARES), Coronavirus Response and Relief Supplemental Appropriations Act (CRRSA), and the American Rescue Plan Act (ARP).Contains: ESSER, ESF-SEA, GEER, EANS, HEER, National Summary ReportsData is Organized by Fund, then by Year.

This report analyses government funding for primary and secondary school education. This includes funding from the Central Government (Te Kawanatanga o Aotearoa) and local governments for state, state integrated, Maori-medium and independent schools. The data for this report is sourced from The Treasury (Te Tai Ohanga) and is measured in billions of current dollars over financial years.

The School Districts dataset defines the official administrative boundaries for elementary, secondary, and unified school districts within Navajo County, Arizona, as designated by the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These districts serve as single-purpose educational jurisdictions, where local officials provide public education services to residents. This dataset supports education planning, demographic analysis, and federal funding allocation, including Title I funding estimates for schools based on child poverty statistics. Used by government agencies, school administrators, policymakers, GIS professionals, and researchers, this dataset facilitates district mapping, resource distribution, and education system analysis, ensuring accurate spatial representation of school district boundaries.