98 datasets found
  1. s

    US Public Schools

    • data.smartidf.services
    • public.aws-ec2-eu-1.opendatasoft.com
    • +1more
    csv, excel, geojson +1
    Updated Jan 6, 2023
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    US Public Schools [Dataset]. https://data.smartidf.services/explore/dataset/us-public-schools/
    Explore at:
    geojson, excel, json, csvAvailable download formats
    Dataset updated
    Jan 6, 2023
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    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.

  2. Public School Characteristics 2021-22

    • catalog.data.gov
    • data-nces.opendata.arcgis.com
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Characteristics 2021-22 [Dataset]. https://catalog.data.gov/dataset/public-school-characteristics-2021-22
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    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.

  3. School District Characteristics - Current

    • s.cnmilf.com
    • datasets.ai
    • +2more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). School District Characteristics - Current [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/school-district-characteristics-current-f96a2
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    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 most current CCD collection available. 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 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.

  4. o

    US Private Schools

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jul 9, 2024
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    (2024). US Private Schools [Dataset]. https://public.opendatasoft.com/explore/dataset/us-private-schools/
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    geojson, json, csv, excelAvailable download formats
    Dataset updated
    Jul 9, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    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.

  5. o

    US Colleges and Universities

    • public.opendatasoft.com
    • data.smartidf.services
    csv, excel, geojson +1
    Updated Jan 6, 2023
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    (2023). US Colleges and Universities [Dataset]. https://public.opendatasoft.com/explore/dataset/us-colleges-and-universities/
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    json, excel, geojson, csvAvailable download formats
    Dataset updated
    Jan 6, 2023
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    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.

  6. a

    Public Schools

    • disasters-geoplatform.hub.arcgis.com
    • data.amerigeoss.org
    • +7more
    Updated Mar 28, 2024
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    GeoPlatform ArcGIS Online (2024). Public Schools [Dataset]. https://disasters-geoplatform.hub.arcgis.com/datasets/public-schools
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    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    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 2022-2023 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. 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 2,556 new records, modifications to the spatial location and/or attribution of 99,712 records.

  7. U.S. Public Schools (with Placekey)

    • hub.arcgis.com
    • disasters-geoplatform.hub.arcgis.com
    Updated Sep 21, 2020
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    Esri (2020). U.S. Public Schools (with Placekey) [Dataset]. https://hub.arcgis.com/datasets/esri::u-s-public-schools-with-placekey/geoservice
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    Dataset updated
    Sep 21, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This feature layer presents Public Schools defined by the Common Core Data (CCD) for the Homeland Infrastructure Foundation-Level Data (HIFLD) database, with an added Placekey to enable joining with other datasets. Placekey is a free, universal standard identifier for any physical place, so that the data pertaining to those places can be shared across organizations easily. This feature layer was created using exported data from this Public Schools layer and is intended for testing and demo purposes.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.

  8. Private Schools

    • hub.arcgis.com
    • data.amerigeoss.org
    • +9more
    Updated Mar 28, 2024
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    GeoPlatform ArcGIS Online (2024). Private Schools [Dataset]. https://hub.arcgis.com/datasets/geoplatform::private-schools
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    Dataset updated
    Mar 28, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    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 2021-2022 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. 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 4,910 new records and modifications to the spatial location and/or attribution of 17,329 records.

  9. U

    United States US: School Enrollment: Secondary: Male: % Net

    • ceicdata.com
    Updated Feb 15, 2025
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    United States US: School Enrollment: Secondary: Male: % Net [Dataset]. https://www.ceicdata.com/en/united-states/education-statistics/us-school-enrollment-secondary-male--net
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Education Statistics
    Description

    United States US: School Enrollment: Secondary: Male: % Net data was reported at 89.513 % in 2015. This records an increase from the previous number of 87.832 % for 2014. United States US: School Enrollment: Secondary: Male: % Net data is updated yearly, averaging 87.442 % from Dec 1987 (Median) to 2015, with 21 observations. The data reached an all-time high of 89.513 % in 2015 and a record low of 85.450 % in 2002. United States US: School Enrollment: Secondary: Male: % 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. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.; ; 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).

  10. Private School Locations - Current

    • gis-pdx.opendata.arcgis.com
    • s.cnmilf.com
    • +4more
    Updated Nov 28, 2023
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    National Center for Education Statistics (2023). Private School Locations - Current [Dataset]. https://gis-pdx.opendata.arcgis.com/maps/nces::private-school-locations-current/about
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    Dataset updated
    Nov 28, 2023
    Dataset authored and provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    License

    https://resources.data.gov/open-licenses/https://resources.data.gov/open-licenses/

    Area covered
    Description

    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 years:

    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.

  11. School Attendance Statistics

    • data.cityofnewyork.us
    • cloud.csiss.gmu.edu
    • +2more
    application/rdfxml +5
    Updated Mar 22, 2013
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    Department of Education (DOE) (2013). School Attendance Statistics [Dataset]. https://data.cityofnewyork.us/Education/School-Attendance-Statistics/u6fv-5dqe
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    application/rdfxml, application/rssxml, csv, json, xml, tsvAvailable download formats
    Dataset updated
    Mar 22, 2013
    Dataset provided by
    United States Department of Educationhttp://ed.gov/
    Authors
    Department of Education (DOE)
    Description

    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.

  12. Common Core of Data: Public School Districts, 1980-1981

    • icpsr.umich.edu
    ascii, sas
    Updated Sep 15, 1999
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    Common Core of Data: Public School Districts, 1980-1981 [Dataset]. https://www.icpsr.umich.edu/web/ICPSR/studies/2132
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    sas, asciiAvailable download formats
    Dataset updated
    Sep 15, 1999
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2132/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2132/terms

    Time period covered
    1980 - 1981
    Area covered
    Marshall Islands, Global, Puerto Rico, United States, American Samoa, Guam, Virgin Islands of the United States
    Description

    The primary purpose of this project is to provide a listing of all local agencies providing free public elementary and secondary education in the United States and its outlying areas (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) for 1980-1981. It permits the educational community to draw statistically valid samples from which state or national estimates can be made and also provides a mailing list of school systems. Significant variables include name, address, county, grade span, size of system, number of schools, and standard metropolitan statistical area (SMSA) designation.

  13. Office for Civil Rights School District File, 1971 [United States]: School...

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Jan 2, 2003
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    United States Department of Education. Office for Civil Rights (2003). Office for Civil Rights School District File, 1971 [United States]: School Desegregation Database [Dataset]. http://doi.org/10.3886/ICPSR03531.v1
    Explore at:
    sas, spss, asciiAvailable download formats
    Dataset updated
    Jan 2, 2003
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. Office for Civil Rights
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3531/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3531/terms

    Time period covered
    1971 - 1972
    Area covered
    United States
    Description

    This file, part of a data collection effort carried out annually from 1968-1974 to look at issues of school desegregation, contains selected school district-level racial and ethnic data about students and staff for the academic year 1971-1972. The data were collected using OCR Form OS/CR 101. Each district record for each separate year of the series is identical, containing fields for all district data elements surveyed in every year. Where a particular item was not surveyed for a specific year, its corresponding field is zero (for numeric fields) or blank (for alphanumeric fields). Counts of students in various racial and ethnic groups are provided and then further categorized across additional dimensions, including whether resident or non-resident, emotionally disturbed, physically or learning disabled, or requiring special education. Other categories include school-age children in public and non-public schools or not in school, dropouts, and those expelled or suspended. Racial and ethnic counts of full-time classroom teachers and full-time instructional staff are also supplied. Other variables focus on the number of schools in the district that used ability grouping, whether a district had single-sex schools, whether students of different sexes were required to take different courses, the number of students whose language was not English, whether bilingual instruction was used, the number of schools being newly built or modified to increase capacity, the racial composition of new schools, and whether there was litigation.

  14. Data from: Condition of America's Public School Facilities, 1999

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Aug 12, 2023
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    National Center for Education Statistics (NCES) (2023). Condition of America's Public School Facilities, 1999 [Dataset]. https://catalog.data.gov/dataset/condition-of-americas-public-school-facilities-1999-e21ab
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Area covered
    United States
    Description

    The Condition of America's Public School Facilities, 1999 (FRSS 73), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 73 (https://nces.ed.gov/surveys/frss/) is a cross-sectional survey that collects and report data on key issues at public elementary and secondary schools in the United States. The sample for FRSS 73 included approximately 1000 public elementary, middle, and high schools. District personnel who were familiar with the condition of schools completed questionnaires for each sampled school in their districts. The study's weighted response rate was 91 percent. Key statistics produced from FRSS 73 provide information on the pervasiveness of air conditioning, the number of temporary classrooms, the number of days particular public schools were closed for repairs, planned construction, repairs, and additions, long range facilities plans, the age of public schools, overcrowding and practices used to address overcrowding, estimated costs for bringing facilities to a satisfactory condition, and the overall condition of roofs, floors, walls, plumbing, heating, electric facilities, and safety features.

  15. School Learning Modalities, 2020-2021

    • healthdata.gov
    • datahub.hhs.gov
    application/rdfxml +5
    Updated Feb 27, 2023
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    Centers for Disease Control and Prevention (2023). School Learning Modalities, 2020-2021 [Dataset]. https://healthdata.gov/National/School-Learning-Modalities-2020-2021/a8v3-a3m3
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    application/rdfxml, tsv, csv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 27, 2023
    Dataset authored and provided by
    Centers for Disease Control and Prevention
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    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 https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">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: https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e2.htm" target="_blank">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

  16. Public School Locations 2019-20

    • s.cnmilf.com
    • catalog.data.gov
    • +2more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Locations 2019-20 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-school-locations-2019-20-5b53b
    Explore at:
    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    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 is an annual collection of basic administrative characteristics that includes the physical address for all public schools, school districts, and state education agencies in the United States. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools and school district administrative offices based on these addresses. The point locations in this data layer were developed from the 2019-2020 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.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.

  17. o

    National Neighborhood Data Archive (NaNDA): School Counts and...

    • openicpsr.org
    Updated Dec 3, 2021
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    Min Hee Kim; Mao Li; Dominique Sylvers; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth (2021). National Neighborhood Data Archive (NaNDA): School Counts and Characteristics by School District, United States, 2000-2018 [Dataset]. http://doi.org/10.3886/E156042V1
    Explore at:
    Dataset updated
    Dec 3, 2021
    Dataset provided by
    Washington University in St. Louis
    University of Michigan. Institute for Social Research
    University of California San Francisco Philip R. Lee Institute for Health Policy Studies
    Authors
    Min Hee Kim; Mao Li; Dominique Sylvers; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2000 - 2018
    Area covered
    United States
    Description

    This dataset contains data on schools and school districts within the United States from 2000 through 2018. Key variables include district-level enrollment by race and ethnicity; numbers of teachers and counselors; teacher-student ratios; counts of public, private, and charter schools within districts; and expenditures and revenue, including per-pupil revenue.A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38569.v1

  18. Public School Characteristics 2018-19

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). Public School Characteristics 2018-19 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-school-characteristics-2018-19-c4a71
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    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 NCES EDGE program collaborates with the U.S. Census Bureau's Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools reported in the annual CCD directory file. 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 2018-2019 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 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.

  19. School District Characteristics 2021-22

    • catalog.data.gov
    • data-nces.opendata.arcgis.com
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). School District Characteristics 2021-22 [Dataset]. https://catalog.data.gov/dataset/school-district-characteristics-2021-22
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    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.

  20. 2019 - 2020 School Point Locations

    • data.cityofnewyork.us
    • catalog.data.gov
    Updated Sep 4, 2019
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    Department of Education (DOE) (2019). 2019 - 2020 School Point Locations [Dataset]. https://data.cityofnewyork.us/widgets/a3nt-yts4
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    csv, tsv, kmz, kml, application/geo+json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Sep 4, 2019
    Dataset provided by
    United States Department of Educationhttp://ed.gov/
    Authors
    Department of Education (DOE)
    Description

    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.

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US Public Schools [Dataset]. https://data.smartidf.services/explore/dataset/us-public-schools/

US Public Schools

Explore at:
geojson, excel, json, csvAvailable download formats
Dataset updated
Jan 6, 2023
License

https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

Area covered
United States
Description

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.

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