61 datasets found
  1. School District Characteristics and Socioeconomic Information (Web Map)

    • hub.arcgis.com
    Updated Aug 6, 2022
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    Urban Observatory by Esri (2022). School District Characteristics and Socioeconomic Information (Web Map) [Dataset]. https://hub.arcgis.com/maps/ba1dd52b501c4c82a24e02b5f95916df
    Explore at:
    Dataset updated
    Aug 6, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    This web map provides and in-depth look at school districts within the United States. Clicking on a school district in the map will reveal different statistics about each district in the pop-up. The statistics presented in this map are approximations based on summarizing American Community Survey(ACS) data using tract centroids. They may differ from published statistics by school districts found on data.census.gov. A few things you will learn from this map:How many public and private schools fall within a district?Socioeconomic factors about the Census Tracts which fall within the district:School enrollment for grades Kindergarten through 12thDisconnected children in the districtChildren living below the poverty level Children with no internet at home Children without a working parentRace/ethnicity breakdown of population under the age of 19 in the districtFor more information about the data sources:This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases estimates, so values in the map always reflect the newest data available.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.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.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.Web Map originally owned by Summers Cleary

  2. c

    What is the predominant educational attainment level?

    • hub.scag.ca.gov
    Updated Feb 1, 2022
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    rdpgisadmin (2022). What is the predominant educational attainment level? [Dataset]. https://hub.scag.ca.gov/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.

  3. Public School Locations 2021-22

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Locations 2021-22 [Dataset]. https://catalog.data.gov/dataset/public-school-locations-2021-22-5a116
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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. School and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. The point locations 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. 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.

  4. d

    USGS National Structures Dataset - USGS National Map Downloadable Data...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 26, 2025
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    U.S. Geological Survey (2025). USGS National Structures Dataset - USGS National Map Downloadable Data Collection [Dataset]. https://catalog.data.gov/dataset/usgs-national-structures-dataset-usgs-national-map-downloadable-data-collection
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    USGS Structures from The National Map (TNM) consists of data to include the name, function, location, and other core information and characteristics of selected manmade facilities across all US states and territories. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations. Structures currently included are: School, School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall. Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. Included is a feature class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain structures data in either Esri File Geodatabase or Shapefile formats. For additional information on the structures data model, go to https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

  5. 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.
  6. d

    Public School Characteristics - Current

    • datasets.ai
    • s.cnmilf.com
    • +3more
    15, 21, 25, 3, 33, 55 +2
    Updated May 23, 2024
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    Department of Education (2024). Public School Characteristics - Current [Dataset]. https://datasets.ai/datasets/public-school-characteristics-current-c0196
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    3, 55, 33, 57, 21, 15, 8, 25Available download formats
    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Department of Education
    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 represent the most current 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.

    Collections are available for the following years:

    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. Collections are available for the following years:

  7. Data from: Tree species distribution in the United States Part 1

    • tandf.figshare.com
    pdf
    Updated May 31, 2023
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    Rachel Riemann; Barry T. Wilson; Andrew J. Lister; Oren Cook; Sierra Crane-Murdoch (2023). Tree species distribution in the United States Part 1 [Dataset]. http://doi.org/10.6084/m9.figshare.7111388.v4
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Rachel Riemann; Barry T. Wilson; Andrew J. Lister; Oren Cook; Sierra Crane-Murdoch
    License

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

    Area covered
    United States
    Description

    The distribution and local abundance of tree species constitute basic information about our forest ecosystems that is relevant to understanding their ecology, diversity, and relationship to people. The US Forest Service conducts a forest inventory across all forest lands in the United States. We developed geospatial models of forest attributes using this sample-based inventory which make this information available for an even wider variety of applications. From these modeled datasets, we created a series of maps for 24 US states in an effort to connect more people to trees, the datasets, and the scientific research behind them. Presenting these maps in an attractive way invites engagement. The sidebar text is presented in accessible scientific language that clearly defines terms, guides readers in interpreting the maps and histograms, and provides source details and links. The resulting maps are inviting, informative, and accessible to a broad range of people of different ages and backgrounds.

  8. TIGER/Line Shapefile, Current, State, Florida, Unified School Districts

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Florida, Unified School Districts [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-florida-unified-school-districts
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Florida
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Unified School Districts are administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children aged 5 through 17 in families in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to States and school districts. The TIGER/Line shapefiles include separate shapefiles for elementary, secondary, and unified school districts, and school district administrative areas. The school district boundaries are those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

  9. 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.

  10. c

    Significant Lands - School Lands

    • gis.data.cnra.ca.gov
    • data.ca.gov
    • +8more
    Updated Jul 1, 2019
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    California State Lands Commission (2019). Significant Lands - School Lands [Dataset]. https://gis.data.cnra.ca.gov/datasets/CSLC::significant-lands-school-lands
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    Dataset updated
    Jul 1, 2019
    Dataset authored and provided by
    California State Lands Commissionhttps://www.slc.ca.gov/
    License

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

    Area covered
    Description

    The State Lands Commission has prepared the Significant Lands Inventory (report) for the California Legislature as a general identification and classification of those unconveyed State school lands and tide and submerged lands which possess significant environmental values. The publication incorporates evaluated and pertinent comments received on the initial draft report which was circulated statewide in February 1975.The absence of a particular digitized waterway in the dataset does not mean that the State does not claim ownership of that parcel or waterway, or that such specific parcel or waterway has no significant environmental values. This dataset is not intended to establish ownership, only to identify those parcels which possess significant environmental values. Staff was unable to physically inventory all of the considered lands; instead, the advice and participation of those with known enviornmental expertise was utilized as additional to staff survey.Tide and submerged lands are digitized in the WaterBody and WaterLine feature classes; WaterLines for coastal areas, WaterBody for inland areas. Tide and submerged lands under the jurisdiction of the State Lands Commission are those sovereign lands received from the Federal Government by virtue of California's admission to the Union on an equal footing with the original States. Such lands, and State interest therein, are generally the lands waterward of the ordinary high water mark of the Pacific Ocean (seaward to a three-mile limit); tidal bays, sloughs, estuaries; and, navigable lakes and streams within the State.School Lands are digitized in the SchoolLand feature class. State school lands under the jurisdiction of the Commission are largely composed of the 16th and 36th sections of each township. The Federal Government transferred these lands to the State in 1853, in order to establish a financial foundation for a public school system. In cases where the 16th and 36th sections were mineral in character, incomplete as to acreage total, or already claimed or granted by the Federal Government, the State was permitted to select other lands "in lieu" of the specific sections.The public trust of commerce, navigation and fisheries which the State retains on patented sovereign lands should also be considered included in this inventory. Wherever a waterway, or body of water, is listed or mapped, the common trust state interest in patented sovereign lands, if any, is also included.The State Lands Commission emphasized when it adopted this report at its December 1, 1975 meeting that all tide and submerged lands are significant by the nature of their public ownership. Only because of the methodology used for this report are all of these waterways not specifically listed in this inventory.It is the intent of the State Lands Commission that the Significant Lands Inventory be periodically updated. This dataset should be considered informational, to assist the Legislature, the Commission, and the public in considering the environmental aspects of a proposed project and the significant values to be protected therein.

  11. U.S. PIAAC Cycle I (2012 - 2017) Skills Map Small Area Estimates

    • datalumos.org
    Updated Mar 13, 2025
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    United States Department of Education. Institute of Education Sciences. National Center for Education Statistics (2025). U.S. PIAAC Cycle I (2012 - 2017) Skills Map Small Area Estimates [Dataset]. http://doi.org/10.3886/E222841V1
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    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Institute of Education Scienceshttp://ies.ed.gov/
    United States Department of Educationhttps://ed.gov/
    National Center for Education Statisticshttps://nces.ed.gov/
    Authors
    United States Department of Education. Institute of Education Sciences. National Center for Education Statistics
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    2012 - 2017
    Area covered
    United States
    Description

    The U.S. PIAAC Skills Map provides estimates of adult literacy and numeracy proficiency in all U.S. states and counties, based on small area estimation applied to data from U.S. PIAAC Cycle I (2012-2017). The estimates from the Skills Map were published in an Excel format available from within the Skills Map's interactive webpage. This project includes the Skills Map estimates as well as the user guide and methodological reports published with the Skills Map.

  12. W

    Data from: University lands

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Jul 18, 2019
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    CA Governor's Office of Emergency Services (2019). University lands [Dataset]. https://wifire-data.sdsc.edu/dataset/university-lands
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    esri rest, kml, csv, html, zip, geojsonAvailable download formats
    Dataset updated
    Jul 18, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description
    The California School Campus Database (CSCD) is now available for all public schools and colleges/universities in California.

    CSCD is a GIS data set that contains detailed outlines of the lands used by public schools for educational purposes. It includes campus boundaries of schools with kindergarten through 12th grade instruction, as well as colleges, universities, and public community colleges. Each is accurately mapped at the assessor parcel level. CSCD is the first statewide database of this information and is available for use without restriction.

    PURPOSE
    While data is available from the California Department of Education (CDE) at a point level, the data is simplified and often inaccurate.

    CSCD defines the entire school campus of all public schools to allow spatial analysis, including the full extent of lands used for public education in California. CSCD is suitable for a wide range of planning, assessment, analysis, and display purposes.

    The lands in CSCD are defined by the parcels owned, rented, leased, or used by a public California school district for the primary purpose of educating youth. CSCD provides vetted polygons representing each public school in the state.

    Data is also provided for community colleges and university lands as of the 2018 release.

    CSCD is suitable for a wide range of planning, assessment, analysis, and display purposes. It should not be used as the basis for official regulatory, legal, or other such governmental actions unless reviewed by the user and deemed appropriate for their use. See the user manual for more information.

  13. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
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    (2024). Education - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Education-Seattle-Neighborhoods/vuww-ynb6
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on education enrollment and attainment related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B14007/B14002 School Enrollment, B15003 Educational Attainment. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023
    ACS Table(s): B14007, B15003, B14002


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications <a

  14. a

    USA Education Level of Women in Poverty

    • gis-for-racialequity.hub.arcgis.com
    • livingatlas-dcdev.opendata.arcgis.com
    Updated Aug 4, 2016
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    ArcGIS Living Atlas Team (2016). USA Education Level of Women in Poverty [Dataset]. https://gis-for-racialequity.hub.arcgis.com/items/0d91d1680b774f739f26ae1a46206f69
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    Dataset updated
    Aug 4, 2016
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This layer highlights the education status of women 25 or older, living below the poverty line. Compare this map to the Education Level of Men in Poverty for additional perspective, or use the Education Level of Women and Men in Poverty in the United States app to do a side by side comparison. The poverty line varies due to family size, state of residence, and other factors. The US Census normalizes the data by placing each respondent into an income category related to the poverty line. The Census then reports education levels for men and women above and below the poverty line. The US Census American Community Survey is an ongoing survey. These estimates were created from data collected from 2010 to 2014 and shown at the tract level. The tract borders are not shown to emphasize patterns.

  15. w

    Private Schools

    • data.wu.ac.at
    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.

  16. c

    California School District Areas 2022-23

    • gis.data.ca.gov
    • data.ca.gov
    • +4more
    Updated May 2, 2023
    + more versions
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    California Department of Education (2023). California School District Areas 2022-23 [Dataset]. https://gis.data.ca.gov/datasets/CDEGIS::california-school-district-areas-2022-23
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    Dataset updated
    May 2, 2023
    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 2022-23 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 2022-23 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. ACS-ED Maps

    • catalog.data.gov
    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.

  18. N

    School Point Locations

    • data.cityofnewyork.us
    • data.ny.gov
    • +2more
    csv, xlsx, xml
    Updated Sep 22, 2011
    + more versions
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    Department of Education (DOE) (2011). School Point Locations [Dataset]. https://data.cityofnewyork.us/Education/School-Point-Locations/jfju-ynrr
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Sep 22, 2011
    Dataset authored and provided by
    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.

  19. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • catalog.data.gov
    • +2more
    Updated Oct 24, 2018
    + more versions
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    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
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    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    California Department of Education
    License

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

    Area covered
    Description

    This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance 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.

  20. Postsecondary School Locations 2019-20

    • s.cnmilf.com
    • catalog.data.gov
    • +2more
    Updated Oct 21, 2024
    + more versions
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    National Center for Education Statistics (NCES) (2024). Postsecondary School Locations 2019-20 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/postsecondary-school-locations-2019-20-64b31
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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 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.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.

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Urban Observatory by Esri (2022). School District Characteristics and Socioeconomic Information (Web Map) [Dataset]. https://hub.arcgis.com/maps/ba1dd52b501c4c82a24e02b5f95916df
Organization logo

School District Characteristics and Socioeconomic Information (Web Map)

Explore at:
Dataset updated
Aug 6, 2022
Dataset provided by
Esrihttp://esri.com/
Authors
Urban Observatory by Esri
Area covered
Description

This web map provides and in-depth look at school districts within the United States. Clicking on a school district in the map will reveal different statistics about each district in the pop-up. The statistics presented in this map are approximations based on summarizing American Community Survey(ACS) data using tract centroids. They may differ from published statistics by school districts found on data.census.gov. A few things you will learn from this map:How many public and private schools fall within a district?Socioeconomic factors about the Census Tracts which fall within the district:School enrollment for grades Kindergarten through 12thDisconnected children in the districtChildren living below the poverty level Children with no internet at home Children without a working parentRace/ethnicity breakdown of population under the age of 19 in the districtFor more information about the data sources:This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases estimates, so values in the map always reflect the newest data available.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.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.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.Web Map originally owned by Summers Cleary

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