79 datasets found
  1. a

    US Schools and School District Characteristics

    • hub.arcgis.com
    Updated Apr 15, 2021
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    ArcGIS Living Atlas Team (2021). US Schools and School District Characteristics [Dataset]. https://hub.arcgis.com/maps/1577f4b9b594482684952d448aa613c7
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    Dataset updated
    Apr 15, 2021
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows schools, school districts, and population density throughout the US. Click on the map to learn more about the school districts and schools within an area. A few things you can learn within this map:How many public/private schools fall within the district?What type of population density lives within this district? Socioeconomic factors about the Census Tracts which fall within the district:School enrollment of under 19 by grade Children living below the poverty level Children with no internet at home Children without a working parentRace/ethnicity breakdown of the population within the districtFor more information about the data sources:Socioeconomic factors:The American Community Survey (ACS) helps us understand the population in the US. This app uses the 5-year estimates, and the data is updated annually when the U.S. Census Bureau releases the newest estimates. For detailed metadata, visit the links in the bullet points above. Current School Districts layer: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.Private Schools layer: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.Public Schools layer: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.WorldPop Populated Foorprint layer:This layer represents an estimate of the footprint of human settlement in 2020. It is intended as a fast-drawing cartographic layer to augment base maps and to focus a map reader's attention on the location of human population. This layer is not intended for analysis.This layer was derived from the 2020 slice of the WorldPop Population Density 2000-2020 100m and 1km layers. WorldPop modeled this population footprint based on imagery datasets and population data from national statistical organizations and the United Nations. Zooming in to very large scales will often show discrepancies between reality and this or any model. Like all data sources imagery and population counts are subject to many types of error, thus this gridded footprint contains errors of omission and commission. The imagery base maps available in ArcGIS Online were not used in WorldPop's model. Imagery only informs the model of characteristics that indicate a potential for settlement, and cannot intrinsically indicate whether any or how many people live in a building.

  2. U.S. presidential election exit polls: share of votes by education 2024

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). U.S. presidential election exit polls: share of votes by education 2024 [Dataset]. https://www.statista.com/statistics/1535279/presidential-election-exit-polls-share-votes-education-us/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 9, 2024
    Area covered
    United States
    Description

    According to exit polling in *** key states of the 2024 presidential election in the United States, almost ********** of voters who had never attended college reported voting for Donald Trump. In comparison, a similar share of voters with ******** degrees reported voting for Kamala Harris.

  3. a

    What is the predominant educational attainment level?

    • hub.arcgis.com
    Updated Feb 1, 2022
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    rdpgisadmin (2022). What is the predominant educational attainment level? [Dataset]. https://hub.arcgis.com/maps/eab687f4fe6b45aea45a0682ecaeb198
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This map shows the predominant highest level of education for the population age 25+ in the United States. This is shown by county and and census tracts throughout the US. The categories are grouped as:Less than High SchoolHigh SchoolAssociate's DegreeSome CollegeBachelor's Degree or HigherThe data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. For more information about this data, visit this page.To learn more about when the ACS releases data updates, click here.

  4. w

    Public Schools

    • data.wu.ac.at
    • data.amerigeoss.org
    Updated Jul 3, 2018
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    Department of Homeland Security (2018). Public Schools [Dataset]. https://data.wu.ac.at/schema/data_gov/MGVmZTQ5NTktMzUzOS00MGI5LTkwOTAtNzY2MmU1OGUwYjRm
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    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Department of Homeland Security
    Description

    This Public Schools feature dataset is composed of all Public elementary and secondary education in the United States as defined by the Common Core of Data, National Center for Education Statistics, US Department of Education. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are the military schools abroad and referenced in the city field with an APO or FPO address. Also referenced in the state field with the abbreviation AE. Please note that the APO and FPO schoolpoints are located at 0,0. This feature class contains all MEDS/MEDS+ as approved by NGA. For each field the 'Not Avaliable' and 'NULL' designations are used to indicate that the data for the particular record and field is currently unavaliable and will be populated when and if that data becomes avaliable.

  5. a

    Education Spending in the United States-Copy

    • umn.hub.arcgis.com
    Updated May 25, 2023
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    University of Minnesota (2023). Education Spending in the United States-Copy [Dataset]. https://umn.hub.arcgis.com/maps/2e032c0fc40a41d6b27303f804724987
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    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map shows the average amount spent on education per household in the U.S. in 2022 in a multiscale map (by country, state, county, ZIP Code, tract, and block group).The pop-up is configured to include the following information for each geography level:Average annual amount spent on education per householdAverage annual spending per household for tuition by education levelAverage annual spending per household for additional school necessitiesThis map shows Esri's 2022 U.S. Consumer Spending Data in Census 2020 geographies. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data.Esri's 2022 U.S. Consumer Spending database details which products and services consumers buy, including total dollars spent, average amount spent per household, and a Spending Potential Index. Esri's Consumer Spending database identifies hundreds of items in more than 15 categories, including apparel, food and beverage, financial, entertainment and recreation, and household goods and services. See Consumer Spending database to view the methodology statement and complete variable list.Additional Esri Resources:Esri DemographicsU.S. 2022/2027 Esri Updated DemographicsEssential demographic vocabularyThis item is for visualization purposes only and cannot be exported or used in analysis.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  6. A

    ‘Public School Locations - Current’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Apr 2, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Public School Locations - Current’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-public-school-locations-current-8fef/1e70a36c/?iid=018-963&v=presentation
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    Dataset updated
    Apr 2, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Public School Locations - Current’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/641533f3-db2c-443c-9151-698a11c8ef41 on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    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. The CCD program also provides fiscal data about school district revenues and expenditures. CCD school and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. 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 point locations in this data layer represent the most current CCD collection. Check the SURVYEAR attribute in the data table to determine file vintage. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.

    Previous collections are available for the following years:

    --- Original source retains full ownership of the source dataset ---

  7. ACS-ED Maps

    • catalog.data.gov
    • hub.arcgis.com
    Updated Oct 26, 2018
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    NCES (2018). ACS-ED Maps [Dataset]. https://catalog.data.gov/ja/dataset/acs-ed-maps-74e28
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    Dataset updated
    Oct 26, 2018
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The ACS-ED Maps tool identifies conditions of school-age children in school districts based on data from the U.S. Census Bureau’s American Community Survey Education Tabulation (ACS-ED) 2013-17.The American Community Survey – Education Tabulation (ACS-ED) is an annual, nationwide survey designed to provide communities with reliable and timely demographic, social, economic, and housing data. The U.S. Census Bureau implemented the ACS in 2005 as a replacement for the decennial census long form, and NCES collaborates with the U.S. Census Bureau to create a variety of custom ACS data files that describe the condition of school-age children in the U.S., states, and school districts. The custom NCES files are updated annually and based on ACS five-year period estimates.Population Groups:The ACS Children's tabulation provides characteristics of school-age children with separate iterations based on enrollment and school type. Iterations include: Total Children; Grade-relevant Children; Grade-relevant Children - Enrolled; and Grade-relevant Children - Enrolled Public. Learn more.The ACS Total Population tabulation includes all persons living in households or group quarters. The total population files offered by NCES include estimates for the nation, states, and school districts, ACS estimates for additional geographic areas are available from the U.S. Census Bureau's American FactFinder System. Learn more.

  8. A

    Public School Locations 2015-16

    • data.amerigeoss.org
    • catalog.data.gov
    • +2more
    csv, esri rest +4
    Updated Sep 24, 2020
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    AmeriGEOSS Dev (2020). Public School Locations 2015-16 [Dataset]. https://data.amerigeoss.org/id/dataset/public-school-locations-2015-16
    Explore at:
    csv, geojson, zip, html, esri rest, kmlAvailable download formats
    Dataset updated
    Sep 24, 2020
    Dataset provided by
    AmeriGEOSS Dev
    License

    https://data-nces.opendata.arcgis.com/datasets/741214a4a1824b018506fd140599e57f_0/license.jsonhttps://data-nces.opendata.arcgis.com/datasets/741214a4a1824b018506fd140599e57f_0/license.json

    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 2015-2016 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.

  9. w

    Private Schools

    • data.wu.ac.at
    • gis-calema.opendata.arcgis.com
    Updated Jul 3, 2018
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    Department of Homeland Security (2018). Private Schools [Dataset]. https://data.wu.ac.at/schema/data_gov/MTVlZjIxZjktNDY4ZC00M2ExLWI3NjEtMDRhZjc0NjU4YzMy
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    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Department of Homeland Security
    Description

    This Private Schools feature dataset is composed of all Private elementary and secondary education features in the United States as defined by the Private School Universe Survey (PSS), National Center for Education Statistics, US Department of Education. This includes all Kindergarten through 12th grade schools as tracked by the PSS. This feature class contains all MEDS/MEDS+ attributes as approved by NGA. For each field the 'Not Available' and NULL designations are used to indicate that the data for the particular record and field is currently unavailable and will be populated when and if that data becomes available.

  10. A

    Postsecondary School Locations 2019-20

    • data.amerigeoss.org
    • catalog.data.gov
    • +1more
    csv, esri rest +4
    Updated Apr 22, 2020
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    AmeriGEOSS Dev (2020). Postsecondary School Locations 2019-20 [Dataset]. https://data.amerigeoss.org/dataset/groups/postsecondary-school-locations-2019-20
    Explore at:
    geojson, zip, csv, esri rest, html, kmlAvailable download formats
    Dataset updated
    Apr 22, 2020
    Dataset provided by
    AmeriGEOSS Dev
    License

    https://data-nces.opendata.arcgis.com/datasets/6a2b95d345d8452ca527b30490096391_0/license.jsonhttps://data-nces.opendata.arcgis.com/datasets/6a2b95d345d8452ca527b30490096391_0/license.json

    Description

    The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for postsecondary institutions included in the NCES Integrated Postsecondary Education Data System (IPEDS). The IPEDS program annually collects information about enrollments, program completions, graduation rates, faculty and staff, finances, institutional prices, and student financial aid from every college, university, and technical and vocational institution that participates in federal student financial aid programs under the Higher Education Act of 1965 (as amended). IPEDS school point locations are derived from reported information about the physical location of schools. 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 IPEDS file. The point locations in this data layer were developed from the 2019-2020 IPEDS collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations.

  11. 10 powerful tools and maps with which to teach about population and...

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). 10 powerful tools and maps with which to teach about population and demographics [Dataset]. https://library.ncge.org/documents/bae1d5f1cba243ea88d09b043b8444ee
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    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: Joseph Kerski, post_secondary_educator, Esri and University of DenverGrade/Audience: high school, ap human geography, post secondary, professional developmentResource type: lessonSubject topic(s): population, maps, citiesRegion: africa, asia, australia oceania, europe, north america, south america, united states, worldStandards: All APHG population tenets. Geography for Life cultural and population geography standards. Objectives: 1. Understand how population change and demographic characteristics are evident at a variety of scales in a variety of places around the world. 2. Understand the whys of where through analysis of change over space and time. 3. Develop skills using spatial data and interactive maps. 4. Understand how population data is communicated using 2D and 3D maps, visualizations, and symbology. Summary: Teaching and learning about demographics and population change in an effective, engaging manner is enriched and enlivened through the use of web mapping tools and spatial data. These tools, enabled by the advent of cloud-based geographic information systems (GIS) technology, bring problem solving, critical thinking, and spatial analysis to every classroom instructor and student (Kerski 2003; Jo, Hong, and Verma 2016).

  12. Public School Characteristics 2020-21

    • s.cnmilf.com
    • catalog.data.gov
    • +2more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Characteristics 2020-21 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-school-characteristics-2020-21-6120a
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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 2020-2021 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.

  13. My Map Activity

    • library.ncge.org
    Updated Jul 27, 2021
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    NCGE (2021). My Map Activity [Dataset]. https://library.ncge.org/documents/NCGE::my-map-activity--1/about
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    Dataset updated
    Jul 27, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Author: E Gunderson, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 8, high schoolResource type: lessonSubject topic(s): gisRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.Objectives: Students will be able to:

    1. Create a custom map using Google Maps
    2. Collect and plot data using Google MapsSummary: Students will learn the basics of Google Maps while using geospatial data to create their neighborhood map with the places they spend time. They will also collect data of their choice from another source (website, book, personal life) and plot the data using Google Maps.
  14. School District Boundaries - Current

    • hub.arcgis.com
    • catalog.data.gov
    • +2more
    Updated Jan 1, 2025
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    National Center for Education Statistics (2025). School District Boundaries - Current [Dataset]. https://hub.arcgis.com/maps/nces::school-district-boundaries-current
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    Dataset updated
    Jan 1, 2025
    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 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 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 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 inputs for this data layer were developed from Census TIGER/Line 2024 and represent boundaries reported for the 2023-2024 school year. For more information about NCES school district boundary data, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries.Collections are available for the following years:SY 2022-23 TL 23SY 2021-22 TL 22SY 2020-21 TL 21SY 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 14All 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.

  15. m

    Maryland Education Facilities - Higher Education (Public Two Year)

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +2more
    Updated Jun 1, 2013
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    ArcGIS Online for Maryland (2013). Maryland Education Facilities - Higher Education (Public Two Year) [Dataset]. https://data.imap.maryland.gov/datasets/3995c8dce8364db39184d7a498c1a969
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    Dataset updated
    Jun 1, 2013
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Maryland has 200+ higher education facilities located throughout the entire State. Maryland boasts a highly educated workforce with 300,000+ graduates from higher education institutions every year. Higher education opportunities range from two year, public and private institutions, four year, public and private institutions and regional education centers. Collectively, Maryland's higher education facilities offer every kind of educational experience, whether for the traditional college students or for students who have already begun a career and are working to learn new skills. Maryland is proud that nearly one-third of its residents 25 and older have a bachelor's degree or higher, ranking in the top 5 amongst all states. Maryland's economic diversity and educational vitality is what makes it one of the best states in the nation in which to live, learn, work and raise a family.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Education/MD_EducationFacilities/FeatureServer/1

  16. c

    California School District Areas 2023-24

    • gis.data.ca.gov
    • data.ca.gov
    • +3more
    Updated Jul 10, 2024
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    California Department of Education (2024). California School District Areas 2023-24 [Dataset]. https://gis.data.ca.gov/datasets/CDEGIS::california-school-district-areas-2023-24
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    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    California Department of Education
    Area covered
    Description

    This layer serves as the authoritative geographic data source for all school district area boundaries in California. School districts are single purpose governmental units that operate schools and provide public educational services to residents within geographically defined areas. Agencies considered school districts that do not use geographically defined service areas to determine enrollment are excluded from this data set. In order to view districts represented as point locations, please see the "California School District Offices" layer. The school districts in this layer are enriched with additional district-level attribute information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.School districts are categorized as either elementary (primary), high (secondary) or unified based on the general grade range of the schools operated by the district. Elementary school districts provide education to the lower grade/age levels and the high school districts provide education to the upper grade/age levels while unified school districts provide education to all grade/age levels in their service areas. Boundaries for the elementary, high and unified school district layers are combined into a single file. The resulting composite layer includes areas of overlapping boundaries since elementary and high school districts each serve a different grade range of students within the same territory. The 'DistrictType' field can be used to filter and display districts separately by type.Boundary lines are maintained by the California Department of Education (CDE) and are effective in the 2023-24 academic year . The CDE works collaboratively with the US Census Bureau to update and maintain boundary information as part of the federal School District Review Program (SDRP). The Census Bureau uses these school district boundaries to develop annual estimates of children in poverty to help the U.S. Department of Education determine the annual allocation of Title I funding to states and school districts. The National Center for Education Statistics (NCES) also uses the school district boundaries to develop a broad collection of district-level demographic estimates from the Census Bureau’s American Community Survey (ACS).The school district enrollment and demographic information are based on student enrollment counts collected on Fall Census Day (first Wednesday in October) in the 2023-24 academic year. These data elements are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website https://www.cde.ca.gov/ds.

  17. School Learning Modalities, 2020-2021

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Nov 1, 2022
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    Centers for Disease Control and Prevention (2022). 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
    Nov 1, 2022
    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

  18. c

    Nystrom Herff Jones 2-Layer PULL DOWN United States & World Relief Map...

    • map.collectionhero.com
    html
    Updated Jun 28, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 28, 2025
    Time period covered
    Sep 16, 2021
    Area covered
    United States
    Description

    Nystrom Herff Jones 2-Layer PULL DOWN United States & World Relief Map EDUCATION - Sold on eBay Sep 16, 2021 for $104.99 - Historical sales data for collectible reference.

  19. Digital Geologic-GIS Map of the Cave Creek School Quadrangle, Texas (NPS,...

    • catalog.data.gov
    • datasets.ai
    Updated Jun 5, 2024
    + more versions
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    National Park Service (2024). Digital Geologic-GIS Map of the Cave Creek School Quadrangle, Texas (NPS, GRD, GRI, LYJO, CCSC digital map) adapted from a Texas Bureau of Economic Geology, University of Texas at Austin Geologic Quadrangle Map by Barnes (1967) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-cave-creek-school-quadrangle-texas-nps-grd-gri-lyjo-ccsc-d
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Austin, Texas
    Description

    The Unpublished Digital Geologic-GIS Map of the Cave Creek School Quadrangle, Texas is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (ccsc_geology.gdb), a 10.1 ArcMap (.mxd) map document (ccsc_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (lyjo_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (lyjo_geology_gis_readme.pdf). Please read the lyjo_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ccsc_geology_metadata.txt or ccsc_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 14N. The data is within the area of interest of Lyndon B. Johnson National Historical Park.

  20. w

    CT Schools Map

    • data.wu.ac.at
    csv, json, xml
    Updated Aug 29, 2016
    + more versions
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    State Department of Education (2016). CT Schools Map [Dataset]. https://data.wu.ac.at/schema/data_ct_gov/c2h3dy1kaGM2
    Explore at:
    json, csv, xmlAvailable download formats
    Dataset updated
    Aug 29, 2016
    Dataset provided by
    State Department of Education
    Area covered
    Connecticut
    Description

    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

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ArcGIS Living Atlas Team (2021). US Schools and School District Characteristics [Dataset]. https://hub.arcgis.com/maps/1577f4b9b594482684952d448aa613c7

US Schools and School District Characteristics

Explore at:
Dataset updated
Apr 15, 2021
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map shows schools, school districts, and population density throughout the US. Click on the map to learn more about the school districts and schools within an area. A few things you can learn within this map:How many public/private schools fall within the district?What type of population density lives within this district? Socioeconomic factors about the Census Tracts which fall within the district:School enrollment of under 19 by grade Children living below the poverty level Children with no internet at home Children without a working parentRace/ethnicity breakdown of the population within the districtFor more information about the data sources:Socioeconomic factors:The American Community Survey (ACS) helps us understand the population in the US. This app uses the 5-year estimates, and the data is updated annually when the U.S. Census Bureau releases the newest estimates. For detailed metadata, visit the links in the bullet points above. Current School Districts layer: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.Private Schools layer: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.Public Schools layer: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.WorldPop Populated Foorprint layer:This layer represents an estimate of the footprint of human settlement in 2020. It is intended as a fast-drawing cartographic layer to augment base maps and to focus a map reader's attention on the location of human population. This layer is not intended for analysis.This layer was derived from the 2020 slice of the WorldPop Population Density 2000-2020 100m and 1km layers. WorldPop modeled this population footprint based on imagery datasets and population data from national statistical organizations and the United Nations. Zooming in to very large scales will often show discrepancies between reality and this or any model. Like all data sources imagery and population counts are subject to many types of error, thus this gridded footprint contains errors of omission and commission. The imagery base maps available in ArcGIS Online were not used in WorldPop's model. Imagery only informs the model of characteristics that indicate a potential for settlement, and cannot intrinsically indicate whether any or how many people live in a building.

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