https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain
This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. 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 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.
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.
The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimates (EDGE) program develops bi-annually updated point locations (latitude and longitude) for private schools included in the NCES Private School Survey (PSS). The PSS is conducted to provide a biennial count of the total number of private schools, teachers, and students. The PSS school location and associated geographic area assignments are derived from reported information about the physical location of private schools. The school geocode file includes supplemental geographic information for the universe of schools reported in the most current PSS school collection, and they can be integrated with the survey files through use of institutional identifiers included in both sources. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations and https://nces.ed.gov/programs/edge/Geographic/LocaleBoundaries Previous collections are available for the following year: 2021-22 2019-20 2017-18 2015-16 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.
Existing studies from the United States, Latin America, and Asia provide scant evidence that private schools dramatically improve academic performance relative to public schools. Using data from Kenya—a poor country with weak public institutions—we find a large effect of private schooling on test scores, equivalent to one full standard deviation. This finding is robust to endogenous sorting of more able pupils into private schools. The magnitude of the effect dwarfs the impact of any rigorously tested intervention to raise performance within public schools. Furthermore, nearly two-thirds of private schools operate at lower cost than the median government school.
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Consolidated Infant, Pre-K, and K-14 education points for facilities both public and private.
Point features are intended to be located within a building footprint relevant to each site, so that they can be used to select an appropriate building footprint or parcel as seed for any required buffering.
Buffering may be applied when limiting possible sites for certain businesses or specific individuals, whenever these must remain a minimum distance from school locations.
Sources include: cde.ca.gov State of California Department of Education City and County Department of Technology, San Francisco Enterprise Geographic Information System Program
Data current as of December 8, 2015
The 1989-90 Private School Universe Survey (PSS 1989-90) is a study that is part of the Private School Universe program; program data is available since 1989-1990 at . PSS 1989-90 (https://nces.ed.gov/surveys/pss/) is a cross-sectional survey that collects data on private elementary and secondary schools, including religious orientation, level of school, length of school year, length of school day, total enrollment (K-12), race/ethnicity of students, number of high school graduates, number of teachers employed, program emphasis, and existence and type of kindergarten program. The study was conducted using mail questionnaires and telephone follow-up of all private schools in the United States. The PSS includes both schools with a religious orientation (e.g., Catholic, Lutheran, or Jewish) and nonsectarian schools with programs ranging from regular to special emphasis and special education. Key statistics produced from PSS 1989-90 are on the number of religiously affiliated schools, the number of private high school graduates, and the number of private school students and teachers.
This data set shows the number and percentage of children graduating from high school in Travis County, including public, private, charter, home schools, and other high school equivalents. The data is from the Texas Education Agency (TEA) state agency that oversees primary and secondary public education in the state of Texas. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/n78t-2him
The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops bi-annually updated point locations (latitude and longitude) for private schools included in the NCES Private School Survey (PSS). The PSS is conducted to generate biennial data on the total number of private schools, teachers, and students, and to build an accurate and complete list of private schools to serve as a sampling frame for NCES surveys. The PSS school location and associated geographic area assignments are derived from reported information about the physical location of private schools. The school geocode file includes supplemental geographic information for the universe of schools reported in the 2017-2018 PSS school sample, and they can be integrated with the survey files through use of institutional identifiers included in both sources. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations and https://nces.ed.gov/programs/edge/Geographic/LocaleBoundaries.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.
This layer includes public K-12 public schools (including public preschools and specialty programs) and K-12 private schools in Hampton Roads. Private preschools and daycares are not included. The public schools data is comprehensive with source information obtained from each public school district in the region. The private school data was obtained from several sources and may not have identified every school. Sources consulted for private schools include the National Center for Education Statistics, Virginia Council for Private Education, and the Association of Christian Schools International. Data is updated for 2019-2020 school year.
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Complete list of public (including charter) and private schools in the State of Texas. Private school list incudes daycare, after school programs, and preschools. Complete contact information including address, point of contact (principal, owner, manager, etc.), email, website, and phone. Data was derived from State of Texas Education Agency and web scraping Texas Private School Accrediation Commission website and indiivudal schools sites. Information is current as of November 2017. Excellent for anyone doing marketing to Texas schools or research on Texas education.
Education
texas,schools,public,private,daycare
18856
$199.99
This spatial layer consists of point locations of public, private, and charter schools including most pre-schools, day care facilities, adult and vocational schools in New Jersey, with minimal attributes. Most of the public schools were initially located in 2003 by the New Jersey Department of Environmental Protection (NJDEP), and were checked in 2007-2023 by the NJ Office of GIS (NJOGIS) against the NJ Department of Education (NJDOE) tabular data that were acquired in August, 2022, and the data derived by other organizations and volunteers.Charter schools were initially located in 2011 and checked through 2022 by NJOGIS against the 2022 NJDOE tabular data of public schools that also lists charter schools.Private schools were located initially in 2010, and updated later for Somerset County using the spatial data provided by Somerset County GIS team. The present data set is the result of checking and updating the previous locations by processing the 2022 NJDOE tabular data.
This dataset is designed to represent and identify the general locations of public school facilities within Lexington-Fayette County. The dataset is programmatically created and updated by converting the polygon centroids of the LFUCG School boundary polygon layer to a point layer. The location of the public school facilities is updated through public record and coordination with the Fayette County Public School. The location for the certified private schools is updated through public record for certified private schools from the Kentucky Department of Education. The public school facilities are continuously updated. This dataset participates in a topology with the parcel dataset to assure coincident geometry during parcel editing.The data is in ESRI feature class format, but can be exported to any number of supported formats, including shapefile and dxf. The native projection for the data is Kentucky State Plane North (NAD83), but may have been reprojected for use in other applications. Please check metadata to determine current projection.
Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.
How Are We Protecting Privacy?
Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.
The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.
This information is also available on the Ministry of Education's School Information Finder website by individual school.
Descriptions for some of the data types can be found in our glossary.
School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.
Los Angeles private school locations for the 2018-19 academic year. Data provided through the State of California's open data portal: https://gis.data.ca.gov/datasets/d5cb03b3d973473ebb86b24005a0e118_0/aboutThe private schools data layer includes the location of private schools that filed the annual Private School Affidavit and reported enrollments of six or more students. The private school locations and associated attribute information are derived from the private school directory published on the California Department of Education website at https://www.cde.ca.gov/ds/si/ps/index.asp. California law (California Education Code Section 33190) requires private schools offering or conducting a full-time elementary or secondary level day school for students between the ages of 6 and 18 to file an affidavit with the California Department of Education (CDE). Inclusion of a school in this directory should not be interpreted as meaning that the State of California, the State Superintendent of Public Instruction (SSPI), the State Board of Education, CDE, or any other agency has made any evaluation, approval, or endorsement of any school listed.
https://www.usa.gov/government-works/https://www.usa.gov/government-works/
The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2020-2021 school year, from August 2020 – June 2021.
These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the National Center for Educational Statistics (NCES) for 2020-2021.
School learning modality types are defined as follows:
In-Person: All schools within the district offer face-to-face instruction 5 days per week to all students at all available grade levels. Remote: Schools within the district do not offer face-to-face instruction; all learning is conducted online/remotely to all students at all available grade levels. Hybrid: Schools within the district offer a combination of in-person and remote learning; face-to-face instruction is offered less than 5 days per week, or only to a subset of students.
Data Information
School learning modality data provided here are model estimates using combined input data and are not guaranteed to be 100% accurate. This learning modality dataset was generated by combining data from four different sources: Burbio [1], MCH Strategic Data [2], the AEI/Return to Learn Tracker [3], and state dashboards [4-20]. These data were combined using a Hidden Markov model which infers the sequence of learning modalities (In-Person, Hybrid, or Remote) for each district that is most likely to produce the modalities reported by these sources. This model was trained using data from the 2020-2021 school year. Metadata describing the location, number of schools and number of students in each district comes from NCES [21]. You can read more about the model in the CDC MMWR: COVID-19–Related School Closures and Learning Modality Changes — United States, August 1–September 17, 2021. The metrics listed for each school learning modality reflect totals by district and the number of enrolled students per district for which data are available. School districts represented here exclude private schools and include the following NCES subtypes:
Public school district that is NOT a component of a supervisory union Public school district that is a component of a supervisory union Independent charter district
“BI” in the state column refers to school districts funded by the Bureau of Indian Education.
Technical Notes
Data from September 1, 2020 to June 25, 2021 correspond to the 2020-2021 school year. During this timeframe, all four sources of data were available. Inferred modalities with a probability below 0.75 were deemed inconclusive and were omitted. Data for the month of July may show “In Person” status although most school districts are effectively closed during this time for summer break. Users may wish to exclude July data from use for this reason where applicable.
Sources
K-12 School Opening Tracker. Burbio 2021; https
Non-IMF Public & Private Institutions (this includes Non-IMF Non Public Schools, Unconventional Schools, and Institutions for the Delinquent).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The number of students in regular programs for youth, general programs for adults, and vocational programs for youth and adults in public and private/independent schools, and home-schooling at the elementary-secondary level, by school type and program type.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Private school (elementary, secondary, and combined*) enrolment numbers are organized by student gender and school level for each private school. The number captures the enrolment as of October 31st for the given school year. To be included, a student must be actively enrolled to attend the private school as their main school as of October 31. Data includes: * academic year * school number * school name * school level * elementary male enrolment * elementary female enrolment * secondary male enrolment * secondary female enrolment * total male enrolment * total female enrolment Source: As reported by private schools in the Ontario School Information System (OnSIS), October submission. Data includes private, First Nations, overseas, secondary and combined schools. *Combined schools offer both elementary and secondary education. Data does not include publicly funded elementary and secondary schools, hospital and provincial schools and care, treatment and correctional facilities. Small cells have been suppressed: * where fewer than 10 students are in a given category, the data is depicted with (<10) * suppressed totals are depicted with (SP) * the report may not be used in any way that could lead to the identification of an individual Note: * starting 2018-2019, enrolment numbers have been rounded to the nearest five. * where sum/totals are required, actual totals are calculated and then rounded to the nearest 5. As such, rounded numbers may not add up to the reported rounded totals.
This dataset contains point features of the location of all public and private schools in the City of Norfolk.
This dataset contains point features of the location of all public and private schools in the City of Norfolk.
Data collected and compiled by Norfolk Public Schools and maintained by the City of Norfolk Department of Information Technology GIS Team.
This dataset is available using the link : https://norfolkgisdata-orf.opendata.arcgis.com/datasets/0d27a83e725f450d9bdd20b16e1e2c28_0/about
This dataset displays the location, address, and contact information for public and private schools in East Baton Rouge Parish.
https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain
This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. 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 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.