In the 2021/22 academic year, there were 1,870 public special education schools across the United States. In the same academic year, there were 90,503 regular public schools across the United States.

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.

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. CCD school and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. The point locations and administrative attributes in this data layer represent the most current CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. For more information about these CCD attributes, as well as additional attributes not included, see: https://nces.ed.gov/ccd/files.asp.Notes:-1 or MIndicates that the data are missing.-2 or NIndicates that the data are not applicable.-9Indicates that the data do not meet NCES data quality standards.Collections are available for the following years:2022-232021-222020-212019-202018-192017-18All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data. Collections are available for the following years:

The Educational Services sector comprises 13 subsectors of the US economy, ranging from public schools to testing and educational support services. Primary, secondary and postsecondary schools alone generate 92.0% of the sector's revenue. Most of these institutions rely entirely on government funding, and nearly three-quarters of the educational services revenue comes from public schools and public universities. Accordingly, strong federal, state and local support for all levels of education has driven revenue upward over the past five years. Expanding discretionary budgets made private schools and higher education more affordable for students and parents, but the Trump administration's changing policies have brought new complications. Still, substantial funding and skyrocketing investment returns for private nonprofit universities have elevated revenue. Revenue has climbed at a CAGR of 4.6% to an estimated $2.7 trillion through the end of 2025, when revenue will rise by 1.1%. Solid state and local government funding for education has helped support the sector's success despite fluctuating enrollment. Faltering birth rates are leading to lower headcounts in K-12 schools, and ballooning student debt has made many would-be college students skeptical of the return on investment of an expensive degree. While student loan forgiveness efforts slowed a decline in the number of college students, the new presidential administration's end to these efforts has begun to exacerbate price-based and quality-based competition among higher education institutions. President Trump's scrutiny of course curricula has made public funds harder to acquire for schools, and the administration's efforts to close the Department of Education have begun to deter would-be students from attending college. Trends in the domestic economy are set to move in the Educational Services sector's favor over the next five years as prospective students become better able to pay for rising tuition rates and premium education options. Government funding for primary, secondary and postsecondary institutions will continue to escalate through the next period, though lackluster enrollment will temper revenue growth. Public schools, which account for over half the sector's revenue, will continue to post losses and drag down the average profit for educational services. New school choice initiatives, including Texas's new, largest-ever voucher program, will make private schools more affordable for parents. However, heightened oversight and continued efforts to close the Department of Education will remain a significant pain point for many educational services. Overall, revenue is set to climb at a CAGR of 0.8% to $2.8 trillion through the end of 2030.

This table contains figures on schools and educational institutions by type of education, ideological basis and school size. It concerns schools and educational institutions financed by the government. Figures for the adult education are left out of this table, because the number of institutions is not available.

Data available from: School-/academic year 1990/91

Status of the figures: The figures up to and including school-/academic year 2023/24 are final and the figures of school-/academic year 2024/25 are provisional.

Changes on 14 April 2025: The final figures of school-/academic year 2023/24 and the provisional figures of school-/academic year 2024/25 have been added.

When will new figures be published? In the second quarter of 2026 the provisional figures of school-/academic year 2024/25 will be replaced by final figures and the provisional figures of school-/academic year 2025/26 will be added in this publication.

As of 2024, **** percent of Americans said that they would send their child to a private school to obtain the best education if they were able to choose any type of school, a significant decrease from **** percent who shared this belief in 2023. In comparison, the share of Americans who said that they would choose to send their child to a regular public school within their school district to obtain the best education rose to **** percent from **** percent in the previous year.

This dataset provides detailed information on the number of public schools and their students in Qatar, categorized by municipality, level of education, and type of school (Boys, Girls, or Mixed). The data allows for analysis of trends in education across various regions, school types, and educational levels, offering insights into the distribution of students and schools by gender and education level.

Provide statistical data on the number of students in various educational stages in special education schools.

As of May 2024, 1,191 special needs education schools were in operation in Japan, with 1,130 being local government established facilities. With education reforms in the early 2000s, the education of students with special needs has been receiving more governmental attention, which is reflected in the increasing number of public schools in Japan.

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.

This dataset provides the number of students enrolled in private schools in Qatar, categorized by level of education, type of school, nationality, and gender. The data includes various educational levels, such as Nursery, as well as Arabic and Foreign school types. The dataset offers valuable insights into the distribution of students across different types of schools, nationalities (Qatari and Non-Qatari), and genders, helping to analyze trends in private school enrollment in Qatar.

This dataset tracks annual distribution of students across grade levels in School Of Education And Training

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.

Research project

The project “Educational Success and Social Participation of Socially and Educationally Disadvantaged Students with Migration Background in Extended Education” (abbr. in German: GeLeGanz) was funded by the German Federal Ministry of Education and Research (BMBF) under the funding code 01JB211A-C from 2021 to 2025.

Traditionally, the German education system is organized as a “half-day”-system; instruction usually takes place in the morning. Many stakeholders see the conversion from half-day to all-day schooling as a way of overcoming the challenges facing the system, including those posed by immigration. High expectations are attached to the expansion of all-day schooling, in particular the strengthening of the educational success and social participation of socially and educationally disadvantaged students with a migration background. As yet however, these goals have not been sufficiently achieved in Germany. Education systems in other countries have established comparable offerings of high quality that appear to be effective. The GeLeGanz project aims to use findings and knowledge from other countries to better exploit the potential of all-day schools in Germany, particularly at the primary school level. The primary focus of the GeLeGanz project is on the potential of all-day primary schools to improve the educational opportunities of socially and educationally disadvantaged students, in particular those who live in a migrant family.

GeLeGanz is a collaborative project, carried out by three partners.

Freie Universität Berlin (FU):

• Prof. Dr. Marianne Schüpbach (Coordinator of the collaborative project, Co-head of the subproject FU Berlin): marianne.schuepbach@fu-berlin.de
• Dr. Nanine Lilla (Co-head of the subproject FU Berlin): nanine.lilla@fu-berlin.de
• Dr. Haiqin Ning (Researcher, Operational coordinator of the collaborative project): haiqin.ning@fu-berlin.de
• Jule Schmidt (Researcher): jule.swaantje.schmidt@fu-berlin.de

German Children and Youth Foundation (DKJS):

• Anna-Margarete Davis (Co-head of the subproject DKJS): anna-margarete.davis@dkjs.de
• Nicola Andresen (Co-Lead of the subproject DKJS and school counselling): nicola.andresen@dkjs.de

University of Hamburg (UHH):

• Prof. Dr. Dr. h.c. mult. Ingrid Gogolin (head of the subproject UHH): gogolin@uni-hamburg.de
• Luise Krejcik (Researcher): luise.krejcik@uni-hamburg.de

To achieve the objectives, the project was divided into the following phases:

Phase I: Expert interviews with researchers from the German and international research context on their perception of quality features and conditions for the successful design of all-day schools.

Phase II: The experts were interviewed again to evaluate and further specify the results with regard to the target group. For this, they were provided with a summary of the statements made by researchers from the German and international research context in Phase I.

Phase III: Focus group interviews with various practice-oriented actors from the German all-day school context, based on the results of expert interviews, to gain information and assessments related to the implementation of measures that might improve all-day schooling in Germany.

Phase IV: Based on the insights gained in the first three parts of the project, materials and concepts should be developed together with practice partner DKJS and transfer partners.

Project website: https://www.ewi-psy.fu-berlin.de/en/v/geleganz/index.html

Data set in UHH

The present data set comprises 30 expert interviews with 15 researchers from the German education research community, which were collected as part of the GeLeGanz project in phase I and II.

Experts: 15 researchers were interviewed twice (1x in phase I and 1x in phase II of the project). All were experts with relevant research experience, but different perspectives on the project’s guiding questions: all-day schools, informal and nonformal education, cultural and language diversity, social inequality and school development. The interview partners were identified via a review of empirical research on conditions of educational success of socially disadvantaged children with a migrant background and the potential advantages of all-day schools.

Interview procedure & topics: A sequential approach was chosen for conducting the interviews: In Phase I, interviewees were asked for

1. research-based assessments of features of high-quality all-day schools, especially for the support of socially disadvantaged children with a migration history,
2. factors that promote or hinder participation in all-day schools’ offers,
3. assessments of the current all-day school landscape in Germany.

In Phase II, the experts were interviewed again. They were provided with a summary of the statements made by the German and international experts in interviews of phase I. Experts were invited to prioritize the mentioned quality features and the potential for adaptation and implementation in the German context.

A semi-structured, problem-centred approach was used to conduct the interviews (Witzel, 2000). The guidelines included narrative-generating impulse questions, follow-up questions to promote understanding and narrative generation, and ad hoc questions on the topics discussed. The interviews were conducted in German by two trained interviewers (online or analogous). All interviews were recorded based on informed consent.

Period of the survey: The interviews were conducted from March to December 2022.

Transcription & anonymization: The transcripts were initially computer-generated, then completely revised manually according to established transcription and anonymization rules (Rädiker and Kuckartz, 2019, p. 44f).

Contents of the data set UHH:

• Collected storage of the 30 interview transcripts in a single MAXQDA project (version 2022, MX22-file)
• Individual file of the 30 interview transcripts in Excel format (xls) and html format
• Anonymization and transcription rules, data naming scheme (pdf)

Note: The dataset is stored in the ZFMD repository of the University of Hamburg in both an open-access (DOI 10.25592/uhhfdm.14815) and a restricted-access version (DOI 10.25592/uhhfdm.14771). Both datasets are available from January 1, 2026. In the open access dataset, research-related data such as research projects and studies of the respondents are anonymized in addition to personal and school-related data. In the restricted access dataset, only the respondents' personal and school-related data are anonymized.

References:

Rädiker, S., & Kuckartz, U. (2019). Analyse qualitativer Daten mit MAXQDA: Text, Audio und Video. Springer Fachmedien.

Witzel, A. (2000). Das problemzentrierte Interview [25 Absätze]. Forum: Qualitative Social Research, 1(1), Article 22. http://nbnresolving.de/urn:nbn:de:0114-fqs0001228

Maryland's Pre K - 12 public school system ranks first overall based on the latest data in six graded categories. Maryland ranks second in the achievement category and third in teaching as well as transitions and alignment.

This point datalayer shows the locations of schools in Massachusetts. Schools appearing in this layer are those attended by students in pre-kindergarten through high school. Categories of schools include public, private, charter, collaborative programs, and approved special education. This data was originally developed by the Massachusetts Department of Environmental Protection’s (DEP) GIS Program based on database information provided by the Massachusetts Department of Education (DOE). The update published on April 17th, 2009 was based on listings MassGIS obtained from the DOE as of February 9th, 2009. The layer is stored in ArcSDE and distributed as SCHOOLS_PT. Only schools located in Massachusetts are included in this layer. The DOE also provides a listing of out-of-state schools open to Massachusetts' residents, particularly for those with special learning requirements. Please see http://profiles.doe.mass.edu/outofstate.asp for details. Updated September 2018.

In the school year 2022/2023, there were ***** pre-school establishments in Portugal. This was the most common type of educational institution in the country, followed by primary education schools, which totaled *****.

Finland had the highest quality of primary education in the world in 2017, with an index score of ***. The index runs on a scale of one (low quality) to seven (very good). Switzerland, Singapore, the Netherlands, and Estonia rounded out the top five for countries with the highest quality of primary education. A solid foundation Primary school age children are generally between the ages of six and eleven years old. Primary school is the first stage of formal education and consists of general knowledge and fundamental skills in areas like mathematics, reading, writing, and science, with student enrollment rates being particularly high in advanced economies. This helps young students to form a solid base for further study as they get older. Primary education in the United States Primary schools in the United States, where they are called elementary schools, can be either private or public institutions, with enrollment in public schools generally higher than in private schools. Education from the age of five is mandatory in the U.S., whether that be through the state-funded public school system, private schooling, or through an approved home school program. Depending on state law, students can leave school between the ages of 16 and 18.

This is an ESRI shape file of school point locations based on the official address. It includes some additional basic and pertinent information needed to link to other data sources. It also includes some basic school information such as Name, Address, Principal, and Principal’s contact information.

The share of K-12 schools in the United States who used hybrid teaching methods has increased since September 2020. At the beginning of September 2020, 18.2 percent of K-12 schools were teaching students with a hybrid method (both virtual and in-person instruction) due to the COVID-19 pandemic. This figure increased to 24.8 percent of K-12 schools by February 2021.