https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns the closest schools based on the specified criteria.
The dataset comprises multiple source datasets published by the Department for Education, and it is updated as soon as relevant datasets become available.
➡️ DOCS With just the School LinkedIn Profile URL, you can get the structured data of a school/educational institute with tons of data points. Check out our API Docs at ➡ nubela.co/proxycurl/docs
➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.
➡️ COVERAGE Our School Profile API covers profiles globally.
➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.
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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.
https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain
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 Academic Performance Index (API) is an annual measure of test score performance of schools and districts. The California Department of Education (CDE) calculates the API and disseminates the results directly to schools and districts
DC public schools. This dataset contains points representing public schools. It was created for the D.C. public schools and later added to the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This dataset includes all identifiable DCPS public elementary, middle, education campus's, senior high, and special education schools as well as learning centers. Does not include private or charter schools. School locations were identified from a database from the DC Public Schools, Office of Facilities Management. Current for the 2015-2016 school year.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This service to the school locations in NRW comes from the school database. The information is registered and kept up-to-date by the school authorities or schools themselves. The data is updated on a daily basis and contains all the basic information about schools such as school number, school name and address.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset contains locations and attributes of Independent Schools, which includes private schools in the District of Columbia. OSSE is responsible for overseeing them in compliance with DC Code § 38–205, by collecting enrollment data for all students of compulsory age. The dataset also contains all of the schools which received a Certificate of Approval from OSSE for placement of students with disabilities. Under the Placement of Students with Disabilities in Nonpublic Special Education Schools Act (D.C. Law 16-269; D.C. Official Code §38-2561.01 et seq.), OSSE is responsible for issuing COAs to nonpublic special education schools and programs and to maintain oversight of these programs.
Prince William County school points. This layer contains school points for Elementary, Middle, and High schools. This layer also contains points for Learning Centers, Alternative Schools, School Administrative sites, School Transportation sites, Colleges and Universities within Prince William County. This data layer does not contain private day schools or preschools.
Schools including school types, contact details, further factual information and, if applicable, school districts (see specifications at https://www.gdi-suedhessen.de/fachthemen/pflichtenhefte/). Provided via the platform www.gdi-inspireumsetzer.de - A service of the GDI South Hesse.:
THIS DATA IS NOT LICENSED FOR COMMERCIAL RESALE. If your use includes resale of this data you must contact Washoe County GIS. Data License Agreement
DataQuest provides access to a wide variety of reports, including school performance, test results, school staffing, graduation and dropout, and more in California.
The California Department of Education (CDE) collects student-level data through the California Longitudinal Pupil Achievement Data System (CALPADS) for state and federal reporting purposes. These data, in addition to assessment data, are available at the aggregate level to the public through the CDE's data reporting portal, DataQuestCDE Downloadable Data Files Web page. PHS has ingested the public and private school listings as well as *the most recent *
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Visit the DataQuest website for archived performance data.
Unit of analysis
The data include information on the school, district, county, and state levels. Whether a row of data concerns school, district, county, or state data is identified by a record type variable.
Links
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https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0
Location of schools in Ottawa.
Accuracy: Based on website information Update Frequency: Annually Attributes:
BOARD CATEGORY NAME NUM STREET PHONE FULL_BOARD CATEGORY_FR Name (FR) Board (FR) FULL_BOARD_FR
Contact:Planning, Infrastructure & Economic Development / GIS and Data Management
This dataset contains the official listing of all public educational organizations in Connecticut as of April 25, 2014. Data elements include name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.
Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.
For more information regarding DM, please visit http://www.csde.state.ct.us/public/directorymanager/default.asp
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset includes the name, address, location and category of schools in Vancouver. Data currencyThe source data is updated by the BC Ministry of Education on an ongoing basis as changes occur. The school data available through the City's site was extracted from the Ministry site in July, 2009. Data accuracyThis data is maintained by the Ministry of Education; their site includes a form for submitting updates and corrections on information about the schools.
Schools, centers and administrative support locations for Fairfax County public schools.
Schools including school forms, contact information, further factual information and, if necessary, school districts (see specifications at https://www.gdi-suedhessen.de/fachthemen/pflichtenhefte/). Provided via the platform www.gdi-inspireumsetzer.de - A service of the GDI-Südhessen.:
Wake County Public Schools and Future Schools Sites.
This dataset is from the Wake County Public School System, last updated February 2025.Contact: Rob Siwiec, GISPDirector, GIS and Student InformationOffice of Student AssignmentWake County Public School System
[Metadata] School District Boundaries as of June, 2017. (Still current as of September 2021, per eWorld Enterprise Solutions/DOE). Source: Hawaii DOE, 2017; Prepared by Davis Demographic for DOE; Received from DOE, June, 2017.For additional information, please see https://files.hawaii.gov/dbedt/op/gis/data/public_school_area_boundaries.pdf, or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
https://crystalroof.co.uk/api-terms-of-usehttps://crystalroof.co.uk/api-terms-of-use
This method returns the closest schools based on the specified criteria.
The dataset comprises multiple source datasets published by the Department for Education, and it is updated as soon as relevant datasets become available.