In 2022, New York spent around 29,897 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.

This graph shows the average expenditure per pupil in U.S. public elementary and secondary schools in 2017. An average of 16,537 U.S. dollars was spent on each pupil in public schools in Wyoming in 2017.

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.

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.

This map displays public school funding adequacy gap across the United States by county, state, and national levels, using the County Health Rankings 2022 layer hosted in the Living Atlas. School funding adequacy is defined as "the average gap in dollars between actual and required spending per pupil among public school districts. Required spending is an estimate of dollars needed to achieve US average test scores in each school district".School funding plays an important role in educational outcomes, and their distribution geographically by race/ethnicity. Research has shown that schools and districts with more funding are better able to provide higher-quality and deeper educational opportunities to students. Explore this map to see what the school funding adequacy gap is in your geography.The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. According to the County Health Rankings & Roadmaps site "By ranking the health of nearly every county in the nation, the County Health Rankings help communities understand what influences how healthy residents are and how long they will live. These comparisons among counties provide context and demonstrate that where you live, and many other factors including race/ethnicity, can deeply impact your ability to live a healthy life. The Rankings not only provide this snapshot of your county’s health, but also are used to drive conversations and action to address the health challenges and gaps highlighted in these findings."Web Map originally compiled by Summers Cleary

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 17,160 U.S. dollars per FTE student, Wyoming had the highest average state and local funding for higher education in the United States.

United States US: Government Expenditure on Education: Total: % of Government Expenditure data was reported at 13.452 % in 2014. This records an increase from the previous number of 13.277 % for 2013. United States US: Government Expenditure on Education: Total: % of Government Expenditure data is updated yearly, averaging 13.277 % from Dec 2010 (Median) to 2014, with 5 observations. The data reached an all-time high of 13.452 % in 2014 and a record low of 12.933 % in 2011. United States US: Government Expenditure on Education: Total: % of Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

This statistic shows the average amount spent per full-time equivalent (FTE) student in public community colleges in the United States from 2003 to 2013. The graph also distinguishes where that money is sourced from; net tuition fees or subsidies. In 2013, around 6,933 U.S. dollars worth of subsidies was spent for every full-time student in a public community college.

In 2021, Luxembourg was the OECD country that spent the highest amount on higher education per student, reaching roughly 35,000 U.S. dollars. This was even though it was the country that spent the lowest amount in terms of share of gross domestic product. The United States followed behind, with the United Kingdom in third. On the other hand, Mexico was the OECD country in which the lowest amount was spent per full-time student in higher education.

Abstract This article aims to estimate the impact of lower tax revenues on the funding of basic education, in the context of the economic impact of the COVID-19 pandemic. Three hypothetical scenarios of lowering tax revenues are estimated and analyzed, along with their effects on the investment in education in the states and municipalities, per-pupil and overall, using a methodology that combines data on tax revenues, mandatory allocation in education, and enrollment numbers. In the most optimistic scenario, the reduction of 7% in the net tax revenues would lead to a decrease in investment in basic education of more than R$ 16.6 billion. The monthly per-pupil expenditure, which in 2018 was R$ 460 on average, could drop between 4.1% and 26.9% depending on which scenario is considered. This probable reduction in revenues requires urgent measures to attenuate the deepening of educational inequalities, converging to the transference of federal funds to sub-national governments. Finally, we highlight the economic virtue of investing in education, when considering the capillarity of education, and its character of intensive investment in personnel.

In 2018, the national average for spending on elementary and secondary education was 3.1 percent of the Gross Domestic Product (GDP). Vermont spent the most out of any state on elementary and secondary education, at 5.38 percent of its GDP.

In Brazil, the average expenditure per student increases as the level of education rises. In 2021, Brazil will spend 3,668 U.S. dollars per primary school student, compared to 13,569 U.S. dollars for a tertiary student.

EDFacts School Improvement Grant, 2011-12 (EDFacts SIG:2011-12), is one of 17 'topics' identified in the EDFacts documentation (in this database, each 'topic' is entered as a separate study); program data is available since 2005 at . EDFacts SIG:2011-12 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data about students, teachers, principals, and schools from states to monitor and report performance on the School Improvement Grant (SIG) program at the school levels. EDFacts SIG:2011-12 data were collected using the EDFacts Submission System (ESS), a centralized portal and their submission by states is mandatory and required for benefits. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts SIG:2011-12 are from 14 data groups with information on Advanced Coursework, Dual Enrollment, Advanced Coursework/Dual Enrollment, Average Scale Scores, Increased Learning Time, Intervention Used, School Year Minutes, Student Attendance Rate, Teacher Attendance Rate, Persistently Lowest-Achieving Schools, Principal Evaluations, Principal Performance Level Names, Teacher Evaluations, and Teacher Performance Level Names. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

The student-to-teacher ratio is equal to the number of students who attend a school divided by the number of teachers in the school. In public schools, the ratio has hovered around 16 students for every teacher in the past two decades.

Summary

The State of Early Education and Care in Boston: Supply, Demand, Affordability, and Quality, is the first in what is planned as a recurrent landscape survey of early childhood, preschool and childcare programs in every neighborhood of Boston. It focuses on potential supply, demand and gaps in child-care seats (availability, quality and affordability). This report’s estimates set a baseline understanding to help focus and track investments and policy changes for early childhood in the city.

This publication is a culmination of efforts by a diverse data committee representing providers, parents, funding agencies, policymakers, advocates, and researchers. The report includes data from several sources, such as American Community Survey, Massachusetts Department of Early Education and Care, Massachusetts Department of Elementary & Secondary Education, Boston Public Health Commission, City of Boston, among others. For detailed information on methodology, findings and recommendations, please access the full report here

The first dataset contains all Census data used in the publication. Data is presented by neighborhoods:

• Population 0 – 5 years;
• Population 0 – 2 years;
• Population 3 – 5 years;
• Race/ethnicity for children 0 – 4 years (White, non-Hispanic; Black; Asian; Hispanic/Latinx);
• Family type (married couples, female householder, male householder);
• Poverty status;
• Family median income in the past 12 months;
• Average cost of care as a percentage of median family income (infant, preschool);
• Share of families that cannot afford care (infant, preschool)

The Boston Planning & Development Agency Research Division analyzed 2013-2017 American Community Survey data to estimate numbers by ZIP-Code. The Boston Opportunity Agenda combined that data by the approximate neighborhoods and estimated cost of care and affordability.

Additional notes:

• Record Type: Each record represents a ZIP-Code defined neighborhood. See list below for detailed information on Boston ZIP-Codes used to create each one of the 15 neighborhoods.
• Data Quality: Numbers presented here came from 2013-2017 American Community Survey data. Therefore, these are ESTIMATES and have margin of errors. The smaller the geographical unit, the greater the margin of error. The Boston Planning & Development Agency analyzed the data to estimate numbers by ZIP-Code.
• Race/Ethnicity: Non-White Hispanics may be double counted due to data limitations.
• Cost of Care: The average cost of care as a percentage of median family income was computed assuming the annual average cost of infant care was $19,877 and the average cost of preschool care was $ 13,771 (Childcare Aware of America, 2019). For each neighborhood we estimated the impact of child care (infant and preschool) on its median annual family income.
• Affordability: The Department of Health and Human Services (DHHS) sets a standard regarding the affordability of child care, where the annual cost of child care should not exceed 10 percent of household annual income. Using this 10% threshold, we estimated that to afford market rate infant care, a family’s annual income would have to be at least $198,770. The census income bracket closest to this income was a family income of $150,000– 199,999. To afford preschool care, a family's annual income should be at least $137,710. Thus, the census income bracket that encompass this income is $125,000 - 149,999. For both infant and preschool care, we underestimated the number of families that can afford care.

The average planned back-to-school spending per household in the United States gradually increased year-on-year, reaching about 890 U.S. dollars in 2023. While this was an increase of over 400 dollars since the beginning of the survey period in 2004, the numbers had begun to fall back down by 2024. That year, U.S. consumers planned to spend an average of 875 U.S. dollars on back-to-school purchases. Spending breakdown In 2024, parents planned to spend the most on electronics or computer-related equipment, with average household spending expected to reach just over 309 U.S. dollars. Although parents relied on several kinds of outlets for back-to-school supplies, the leading location for such items was online. More than half of respondents planned to undertake their shopping there. Department stores stood in second place. Back-to-school vs. back-to-college spending While parents planned to spend hundreds of dollars to send their children back to school, college students and their families were willing to spend even more. In 2024, the average household spend for back-to-college was expected to equal more than 1,300 U.S. dollars.

This longitudinal data collection supplies information on the educational, vocational, and personal development of young people who were high school seniors in 1972 and examines the kinds of factors -- personal, familial, social, institutional, and cultural -- that may affect that development. The collection provides a broad spectrum of information on each student and covers areas such as ability, socioeconomic status, home background, community environment, ethnicity, significant others, current activity at time of survey, educational attainment, school experiences, school performance, work status, work performance and satisfaction, goal orientations, marriage and the family, and military experience. Data collected in the base-year (1972) focus on factors relating to the student's personal/family background, education and work experiences, plans, aspirations, attitudes, and opinions. The first follow-up, which was conducted in 1973, offers information on the respondent's activity state (education, work, etc.), socioeconomic status, work and educational experience since leaving high school, future plans, and expectations. The second follow-up (1974) probes respondents on similar measures but is augmented by additional variables pertaining to work and education. The third follow-up (1976) contains additional items on graduate school application and entry, job supervision, sex roles, sex and race biases, and a subjective rating of high school experiences. The fourth follow-up (1979) offers data similar to the other follow-ups but includes some variables that were modified to elicit unique information. For the fifth follow-up, the sample members averaged 32 years of age and had been out of high school for 14 years. In addition to covering the same subject areas as the previous surveys, this follow-up includes additional questions on marital history, divorce, child support, and economic relationships in modern families. Part 1 of this collection contains base-year data as well as data collected during four subsequent follow-ups undertaken in 1973, 1974, 1976, and 1979, while Part 12 contains fifth follow-up data for 1986. Part 2, the School File, contains information obtained from the respondent's high school and also from high school counselors. Data are available on school organization and enrollment, course offerings, special services and programs, library and other resources, time scheduling, and grading systems. Counselor information is supplied on work loads, counseling practices and facilities, experience with student financial aid programs, age, ethnicity, training, and experience. A supplementary School District Census File, Part 3, contains 1970 Census data tabulated by school district boundaries. In addition, the collection includes an FICE Code File and a CEEB Institutional Data Base File that can be used in conjunction with the student file to supply contextual information about respondents' colleges. The Institutional Data Base File offers data for colleges and universities on items such as enrollment, income and revenues, expenses, tuition and fees, and median student scores on standardized tests. Parts 6, 7, 9, and 10 contain transcript data from each postsecondary institution reported by sample members in the first through fourth follow-up surveys. Data are available for several types of postsecondary institutions, ranging from short-term vocational or occupational programs through major universities with graduate programs and professional schools. Data in these four rectangular files -- Student, Transcript, Term, and Course Files -- are organized to be used in combination hierarchically. Information is available on terms of attendance, fields of study, specific courses taken, and grades and credits earned. The Fifth Follow-Up Teaching Supplement (Parts 15-17) surveyed those members of the original 1972 sample who had obtained teaching certificates and/or who had teaching experience. Respondents were asked questions about their qualifications, experience, and attitudes toward teaching.

In the 2020/21 academic year, private nonprofit doctoral higher education institutions in the United States spent an average of 42,130 U.S. dollars per full-time equivalent (FTE) student on education and related expenses. This compares to 38,080 U.S. dollars for the 2010/11 academic year, when adjusted to 2020 dollars.

In 2022, the average education spending by pupils or students in France had increased since the eighties. In 1980, the French government spent approximately 5,200 euros per pupil/student, whereas the average amount of education expenditure per pupil/student was around 9,860 euros in 2022.