In 2022, New York spent around ****** U.S. dollars per pupil on public elementary and secondary schools - the most out of any state. The District of Columbia, Vermont, New Jersey, and Massachusetts rounded out the top five states for elementary and secondary school expenditure per pupil.

An average of 15,362 U.S. dollars were spent on each pupil in public elementary and secondary schools in the United States in the academic year of 2021. This is an increase from 1980, when 2,272 U.S. dollars were spent per pupil.

During the academic year of 2021, around 18,614 constant 2022-23 U.S. dollars were spent on each pupil in public elementary and secondary schools in the United States. This is an increase from 1990, when 12,206 constant 2022-23 U.S. dollars were spent per pupil.

Public schools have managed to maintain revenue growth despite significant shifts in funding, enrollment and parental preferences. Class sizes are shrinking every year as birth rates drop and the high school retention rate stagnates, straining revenue as smaller schools see lessened funding from governments. Public schools have contended with heightened competition from alternative education options, especially homeschooling and private institutions, as parents seek more personalized educational experiences. States have increasingly adopted school choice systems, allowing parents to use public funds or tax credits to pay for private schooling. The Trump administration has taken steps to promote these programs even more and has proposed establishing a federal voucher system. Despite heightened competition and a rigorous competitive atmosphere, strong per-pupil funding amid strong state and local budgets has buoyed public schools. Public schools' revenue has been climbing at a CAGR of 1.4% to an estimated $1.0 billion over the five years through 2025, including a rise of 0.9% in 2025 alone. Governments fully fund public schools. Support from state and local governments is especially vital, as they provide nearly nine-tenths of public schools' revenue. Despite a slight dip in 2022, strong tax income pushed up government funding for primary and secondary schools by 6.2% in 2023. These resources are enabling public schools to invest in tutoring and counseling to improve their educational outcomes and better compete with alternative primary and secondary schools. Public schools also used funds to help transition to online and augmented education and have avoided taking on further losses as shrinking class sizes leave them without pressure to continue purchasing new laptops or tablets. Still, public schools are not profitable and largely operate at a loss every year. Public schools are set to face a continued drop in enrollment as well as intensifying competition. To sustain revenue and support, schools will focus on retaining students and improving academic outcomes despite potential federal funding changes. The expansion of school choice programs will compel public schools to enhance their quality and offer additional services like after-school programs to sustain enrollment and win parental support as families gain more access to private schools. Still, charter schools will leverage their unique value propositions to remain competitive and buoy enrollment in the public school system. Public schools' revenue is set to stagnate, swelling at a CAGR of just 0.2% to an estimated $1.0 billion through the end of 2030.

Graph and download economic data for Government current expenditures: Education: Higher (G160311A027NBEA) from 1959 to 2023 about expenditures, education, government, GDP, and USA.

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.

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.

In most PISA-participating countries and economies, the average socio-economic background of students who attend privately managed schools is more advantaged than that of those who attend public schools. Yet in some countries, there is little difference in the socio-economic profiles between public and private schools. Why? An analysis of PISA results finds that while the prevalence of privately managed schools in a country is not related to socio-economic stratification within a school system, the level of public funding to privately managed schools is: the higher the proportion of public funding allocated to privately managed schools, the smaller the socio-economic divide between publicly and privately managed schools. This report also shows that those countries with narrow socio-economic stratification in their education systems not only maximise equity and social cohesion, but also perform well in the PISA survey.

This dataset contains school-level expenditures reported by major functional spending category starting with fiscal year 2019. It also includes school-level enrollment, demographic, and performance indicators as well as teacher salary and staffing data.

The dataset shows school-level per pupil expenditures by major functional expenditure categories and funding sources, including state and local funds (general fund and state grants) and federal funds.

School districts only report instructional expenditures by school. This report attributes other costs to each school on a per pupil basis to show a full resource picture. The three cost centers are:

1. Non-instructional per pupil spending reported at the school district level;
2. Instructional per pupil spending reported at the district level; and
3. Instructional per pupil spending reported at the school level

Economically Disadvantaged was used 2015-2021. Low Income was used prior to 2015, and a different version of Low Income has been used since 2022. Please see the DESE Researcher's Guide for more information.

This dataset is one of three containing the same data that is also published in the School Finance Dashboard: District Expenditures by Spending Category District Expenditures by Function Code School Expenditures by Spending Category

List of Indicators by Category

Student Enrollment

• In-District FTE Pupils
• Out-of-District FTE Pupils
• Total FTE Pupils

Student Demographics

• Student Headcount
• Low-Income % Headcount
• English Learner % Headcount
• Students with Disabilities % Headcount

Teacher Salaries

• Teacher FTE
• Teachers per 100 FTE Students
• Average Teacher Salary

Other Staff

• Instructional Coach FTE
• Instructional Support FTE
• Special Education Instructional Support FTE
• Paraprofessional FTE

MCAS Performance

• ELA Grades 3-8 % Meets Exceeds
• Math Grades 3-8 % Meets Exceeds
• ELA Grade 10 % Meets Exceeds
• Math Grade 10 % Meets Exceeds

District-Level FTE Pupils

District-Level State and Local Non-Instructional Expenditures Per Pupil

• Administration
• Benefits and Fixed Costs
• Operations and Maintenance
• Pupil Services

District-Level Federal Non-Instructional Expenditures Per Pupil

• Administration
• Benefits and Fixed Costs
• Operations and Maintenance
• Pupil Services

Sub-total A

District-Level State and Local Instructional Expenditures Per Pupil

• Guidance and Psychological Services
• Instructional Leaders
• Instructional Materials
• Other Teaching Services
• Professional Development
• Teachers

District-Level Federal Instructional Expenditures Per Pupil

• Guidance and Psychological Services
• Instructional Leaders
• Instructional Materials
• Other Teaching Services
• Professional Development
• Teachers

Sub-total B

School-Level State and Local Instructional Expenditures Per Pupil

• Guidance and Psychological Services
• Instructional Leaders
• Instructional Materials
• Other Teaching Services
• Professional Development
• Teachers

School-Level Federal Instructional Expenditures Per Pupil

• Guidance and Psychological Services
• Instructional Leaders
• Instructional Materials
• Other Teaching Services
• Professional Development
• Teachers

Sub-total C

Total A+B+C

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

Government expenditure on education, total (% of GDP) in Croatia was reported at 4.0567 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Croatia - Public spending on education, total (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The Resource Allocation Model (RAM) was developed to ensure a fair, efficient and transparent allocation of the state public education budget for every school. The model recognises that students and school communities are not all the same and that they have different needs which require different levels of support.

Data Notes:

• Anticipated Budget for each school subject to actual school enrolments.

• RAM funding represents the total funding for the four equity loadings and the three base allocation loadings, a total of seven loadings. The equity loadings are socio-economic, Aboriginal background, English language proficiency and low-level adjustment for disability. The base loadings are location, professional learning and per capita.

• The RAM funding table provides a sum total of the seven loadings for each NSW public school.

• Every school receives a School Budget Allocation Report (SBAR) in October showing the full school funding allocation for the following year. This includes each school's allocations for the seven loadings of the RAM as well as staffing and operational funding.

• Every school receives School Budget Allocation Report (SBAR) Adjustments in April/May confirming the full school funding allocation for the current year.

• Changes in school funding are the result of changes to student needs and/or student enrolments.

• Data is refreshed after each SBAR cycle.

• For more information on the RAM, visit Schools funding.

Data Source:

• Strategic Schools Resourcing. NSW Department of Education.

Review of Economics and Statistics: Forthcoming. Visit https://dataone.org/datasets/sha256%3Afd0cafc8c748d993f18a52496a482a4a286f8aa66a3d54d40191e4adc709c8e9 for complete metadata about this dataset.

Financial overview and grant giving statistics of Fund for Public Education

The National Public Education Financial Survey, 2012-13 (NPEFS 2012-13), is a study that is part of the Common Core of Data's National Public Education Financial Survey program; program data is available since 1987 at . CCD-NPEFS 2012-13 [https://nces.ed.gov/ccd/stfis.asp] is a cross-sectional survey that gathers data on the financing of education. NPEFS data are used in calculating states' Title I grants. The study was conducted using responding agencies' existing administrative records. The universe of state education agencies was sampled. The study's response rate is TBD. Key statistics produced from CCD-NPEFS 2012-13 will collect data on attendance, revenue, and expenditure data from which NCES determines a State's 'average per-pupil expenditure' (SPPE) for elementary and secondary education.

The National Public Education Financial Survey, 2011-12 (NPEFS 2011-12), is a study that is part of the Common Core of Data's National Public Education Financial Survey program; program data is available since 1987 at . CCD-NPEFS 2011-12 [https://nces.ed.gov/ccd/stfis.asp] is a cross-sectional survey that gathers data on the financing of education. NPEFS data are used in calculating states' Title I grants. The study was conducted using responding agencies' existing administrative records. The universe of state education agencies was sampled. The study's response rate has not been calculated as of May 2013. Key statistics produced from CCD-NPEFS 2011-12 will collect data on attendance, revenue, and expenditure data from which NCES determines a State's 'average per-pupil expenditure' (SPPE) for elementary and secondary education.