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 were developed from the 2021-2022 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.All 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.

Daily Attendance figures are accurate as of 4:00pm, but are not final as schools continue to submit data after we generate this preliminary report.

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.

CL: Children Out of School: % of Primary School Age data was reported at 1.293 % in 2022. This records a decrease from the previous number of 2.167 % for 2021. CL: Children Out of School: % of Primary School Age data is updated yearly, averaging 2.841 % from Dec 2007 (Median) to 2022, with 16 observations. The data reached an all-time high of 4.814 % in 2009 and a record low of 1.293 % in 2022. CL: Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 24, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

In California in 2022, 20.5 percent of students enrolled in K-12 public schools were white, 11.9 percent were Asian, and 56.2 percent were Hispanic. In the United States overall, 44.7 percent of K-12 public school students were white, 5.5 percent were Asian, and 28.7 percent were Hispanic.

In 2022, 53.8 percent of the population aged between 3 and 34 were enrolled in either primary or secondary school in the United States. Of those aged 3 to 4 years old, 53.3 percent were enrolled in school.

In the United States, there are far more public school students than private school students. In 2021, about 11.2 million students were enrolled in private schools in the United States. For public school students, this figure stood at close to 63 million students.

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 2022/23 are final and the figures of school-/academic year 2023/24 are provisional.

Changes on 31 May 2024: The final figures of school-/academic year 2022/23 and the provisional figures of school-/academic year 2023/24 have been added.

When will new figures be published? In the third quarter of 2025 the provisional figures of school-/academic year 2023/24 will be replaced by final figures and the provisional figures of school-/academic year 2024/25 will be added in this publication.

In 2021, about 1.5 million students were enrolled in private high schools or similar institutions in the United States. There were significantly more students enrolled in public high schools across the United States, at 15.4 million students.

NL: School Enrollment: Primary: Female: % Net data was reported at 97.819 % in 2016. This records an increase from the previous number of 96.885 % for 2015. NL: School Enrollment: Primary: Female: % Net data is updated yearly, averaging 95.613 % from Dec 1971 (Median) to 2016, with 37 observations. The data reached an all-time high of 99.400 % in 1997 and a record low of 88.272 % in 1985. NL: School Enrollment: Primary: Female: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This composite file contains elementary, secondary, and unified school district boundaries collected for the National Center for Education Statistics by the U.S. Census Bureau.The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are single-purpose administrative units designed by state and local officials to organize and provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to support educational research and program administration, and the boundaries are essential for constructing district-level estimates of the number of children in poverty.The Census Bureau’s School District Boundary Review program (SDRP) (https://www.census.gov/programs-surveys/sdrp.html) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop the composite school district files. The inputs for this data layer were developed from Census TIGER/Line and represent the most current boundaries available. For more information about NCES school district boundary data, see https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries.Previous collections are available for the following years:SY 2019-20 TL 20SY 2018-19 TL 19SY 2017-18 TL 18SY 2015-16 TL 17SY 2015-16 TL 16SY 2013-14 TL 15SY 2013-14 TL 14

UA: Over-Age Students: Primary: Female: % of Female Enrollment data was reported at 7.058 % in 2016. This records an increase from the previous number of 7.028 % for 2015. UA: Over-Age Students: Primary: Female: % of Female Enrollment data is updated yearly, averaging 8.766 % from Dec 2002 (Median) to 2016, with 15 observations. The data reached an all-time high of 15.713 % in 2005 and a record low of 7.028 % in 2015. UA: Over-Age Students: Primary: Female: % of Female Enrollment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank.WDI: Education Statistics. Over-age students are the percentage of those enrolled who are older than the official school-age range for primary education.; ; UNESCO Institute for Statistics; ;

The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose administrative units designed by state and local officials to provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to develop demographic estimates and to support educational research and program administration. The NCES Common Core of Data (CCD) program is an annual collection of basic administrative characteristics for all public schools, school districts, and state education agencies in the United States. These characteristics are reported by state education officials and include directory information, number of students, number of teachers, grade span, and other conditions. The administrative attributes in this layer were developed from the 2017-2018 CCD collection. For more information about NCES school district boundaries, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. For more information about CCD school district attributes, see: https://nces.ed.gov/ccd/files.asp.Notes: -1 or M Indicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All 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.

The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose governments and administrative units designed by state and local officials to provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to develop demographic estimates and to support educational research and program administration. The NCES Common Core of Data (CCD) program is an annual collection of basic administrative characteristics for all public schools, school districts, and state education agencies in the United States. These characteristics are reported by state education officials and include directory information, number of students, number of teachers, grade span, and other conditions. The administrative attributes in this layer were developed from the 2021-2022 CCD collection. For more information about NCES school district boundaries, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. For more information about CCD school district attributes, see: https://nces.ed.gov/ccd/files.asp. Notes: -1 or MIndicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All 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.

In the 2023-24 school year, K-12 districts accessed an average of 2,739 education technology (EdTech) tools in the United States. This is a significant increase from the 2018-19 school year, when only 841 EdTech tools were accessed per school district.

Overall attendance data include students in Districts 1-32 and 75 (Special Education). Students in District 79 (Alternative Schools & Programs), charter schools, home schooling, and home and hospital instruction are excluded. Pre-K data do not include NYC Early Education Centers or District Pre-K Centers; therefore, Pre-K data are limited to those who attend K-12 schools that offer Pre-K. Transfer schools are included in citywide, borough, and district counts but removed from school-level files. Attendance is attributed to the school the student attended at the time. If a student attends multiple schools in a school year, the student will contribute data towards multiple schools. Starting in 2020-21, the NYC DOE transitioned to NYSED's definition of chronic absenteeism. Students are considered chronically absent if they have an attendance of 90 percent or less (i.e. students who are absent 10 percent or more of the total days). In order to be included in chronic absenteeism calculations, students must be enrolled for at least 10 days (regardless of whether present or absent) and must have been present for at least 1 day. The NYSED chronic absenteeism definition is applied to all prior years in the report. School-level chronic absenteeism data reflect chronic absenteeism at a particular school. In order to eliminate double-counting students in chronic absenteeism counts, calculations at the district, borough, and citywide levels include all attendance data that contribute to the given geographic category. For example, if a student was chronically absent at one school but not at another, the student would only be counted once in the citywide calculation. For this reason, chronic absenteeism counts will not align across files. All demographic data are based on a student's most recent record in a given year. Students With Disabilities (SWD) data do not include Pre-K students since Pre-K students are screened for IEPs only at the parents' request. English language learner (ELL) data do not include Pre-K students since the New York State Education Department only begins administering assessments to be identified as an ELL in Kindergarten. Only grades PK-12 are shown, but calculations for "All Grades" also include students missing a grade level, so PK-12 may not add up to "All Grades". Data include students missing a gender, but are not shown due to small cell counts. Data for Asian students include Native Hawaiian or Other Pacific Islanders . Multi-racial and Native American students, as well as students missing ethnicity/race data are included in the "Other" ethnicity category. In order to comply with the Family Educational Rights and Privacy Act (FERPA) regulations on public reporting of education outcomes, rows with five or fewer students are suppressed, and have been replaced with an "s". Using total days of attendance as a proxy , rows with 900 or fewer total days are suppressed. In addition, other rows have been replaced with an "s" when they could reveal, through addition or subtraction, the underlying numbers that have been redacted. Chronic absenteeism values are suppressed, regardless of total days, if the number of students who contribute at least 20 days is five or fewer. Due to the COVID-19 pandemic and resulting shift to remote learning in March 2020, 2019-20 attendance data was only available for September 2019 through March 13, 2020. Interactions data from the spring of 2020 are reported on a separate tab. Interactions were reported by schools during remote learning, from April 6 2020 through June 26 2020 (a total of 57 instructional days, excluding special professional development days of June 4 and June 9). Schools were required to indicate any student from their roster that did not have an interaction on a given day. Schools were able to define interactions in a way that made sense for their students and families. Definitions of an interaction included: • Student submission of an assignment or completion of an assessment, in whichever manner the school is collecting • Student participation in an online forum, chat log, or discussion thread • Student/family phone call, email or response to teacher email • Phone, email, and/or other digital communication with a family member which confirms student interaction/engagement • Other evidence of participation as determined by the principal. Interactions data are attributed to students' school of record on a given day. A student participating in a Shared Instruction (SHIN) model may have recorded interactions at multiple schools on a given day, but only one record is counted for the interaction rate, attributed to students' school of record for that day. Due to the shift to hybrid learning, attendance data for the 2020-21 school year include both in-person and remote instruction. Total days, days absent, and days present fields include both in-person and remote attendance.

More information on attendance policies can be found here: https://www.schools.nyc.gov/school-life/rules-for-students/attendance

This report shares information about school performance, sets expectations for schools, and promotes school improvement.

School Quality Report Educator Guides can be found here.

The Elementary-Secondary Education Statistics Project (ESESP) is a national pilot survey that enables Statistics Canada to provide information on enrolments, graduates, educators and finance of Canadian elementary-secondary public educational institutions. This information is used mainly to meet policy and planning needs in the field of elementary-secondary education. ESESP annually collects aggregate data from each jurisdiction. Specifically, the information on enrolments pertains to the following four programs: regular, minority and second languages, Aboriginal language and special needs education. The information on regular programs is collected by type of programs (regular, upgrading and professional), education sector (youth or adult), grade and sex. The one on minority and second language programs is collected by type program (immersion, as language of instruction, as a subject taught) and by grade. Information on Aboriginal language programs is requested by type of Aboriginal language (immersion, as language of instruction, as a subject taught) and by grade. Finally, data on special needs education are collected by type of disability (sensory, physical and intellectual disabilities -- low incidence disabilities, learning disabilities and behavioural disabilities -- high incidence disabilities, to compensate for the socio-economic status (SES) or other disadvantages), type of class (regular, special) and by sex. The survey also collects data on secondary school graduates by type of program (regular, upgrading and professional), sector (youth and adult), age and sex. Graduation counts rates can be produced from this data. Information pertaining to full-time and part-time educators by age group and sex is also collected. Finally, ESESP also gathers expenditures data pertaining to level of government (school board and other government) and type of expenditures. This data is collected to determine how much is spent in relative detail by school boards and by provincial/territorial total. It also collects expenditures on special needs education programs. The information on elementary-secondary education statistics is used by provincial and territorial departments or ministries of education, national and provincial teachers' and students' associations, school boards, journalists and researchers, as well as international bodies such as OECD and UNESCO. ESESP was first introduced by Statistics Canada in 2003. The goal of this pilot project is to replace the following surveys as the official collection tools for elementary-secondary enrolments, graduates, educators and finance data: Elementary-Secondary School Enrolment Survey (ESSE -- Survey #3128), Minority and Second Language Education -- Elementary and Secondary Levels Survey (Survey #3129), Secondary School Graduates Survey (SSGS -- Survey #5082), Elementary-Secondary Education Staff Survey (ESESS -- Survey #3127) The ESESP has been replaced by the Elementary-Secondary Education Survey (ESES). Access data here

United States US: School Enrollment: Primary: % Net data was reported at 92.942 % in 2015. This records an increase from the previous number of 92.197 % for 2014. United States US: School Enrollment: Primary: % Net data is updated yearly, averaging 93.521 % from Dec 1975 (Median) to 2015, with 26 observations. The data reached an all-time high of 98.651 % in 1991 and a record low of 81.582 % in 1975. United States US: School Enrollment: Primary: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

During a global survey of students conducted in mid-2024, it was found that a whopping 86 percent said they were using artificial intelligence tools in their schoolwork. Almost a fourth of them used it on a daily basis.