25 datasets found
  1. w

    Washington School Districts 2024

    • geo.wa.gov
    • data-wutc.opendata.arcgis.com
    • +2more
    Updated Sep 19, 2024
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    WA Office of Superintendent of Public Instruction (2024). Washington School Districts 2024 [Dataset]. https://geo.wa.gov/datasets/WAOSPIGIS::washington-school-districts-2024
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    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    WA Office of Superintendent of Public Instruction
    Area covered
    Description

    NOTE: This Feature Service Supersedes All Previous EditionsTABULAR UPDATES ONLY NO BOUNDARY CHANGESThis data was compiled by the Washington Office of Superintendent of Public Instruction (OSPI) to provide boundary and attribute information for the 295 Public School Districts in the State of Washington. The polygons are our best representation of current district boundaries based on legal descriptions, county, and other available GIS data. Users should contact the local school district(s) to confirm the interpretation of district boundaries in questions.

  2. a

    School Districts

    • planning-commission-comprehensive-plan-2021-washcodps.hub.arcgis.com
    Updated Apr 8, 2021
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    Washington County, PA GIS (2021). School Districts [Dataset]. https://planning-commission-comprehensive-plan-2021-washcodps.hub.arcgis.com/maps/school-districts
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    Dataset updated
    Apr 8, 2021
    Dataset authored and provided by
    Washington County, PA GIS
    Area covered
    Description

    The use of data from Washington County indicates the acceptance of and agreement to be legally bound by the terms of Washington County printed below. Disclaimer. Washington County has provided these Geographic Information System maps and data as a public information service. Every reasonable effort has been made to assure the accuracy of these maps and associated data. However, the maps and data being provided herein are intended for informational purposes only. No guarantee is made as to the accuracy of the maps and data and they should not be relied upon for any purpose other than general information. No LiabilityWashington County assumes no liability arising from the use of these maps or data. The maps and data are provided without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Furthermore, Washington County assumes no liability for any errors, omissions, or inaccuracies in the information provided regardless of the cause of such or for any decision made, action taken, or action not taken by the user in reliance upon any maps or data provided herein. Please consult official County maps and records for official information. IndemnificationIf user disseminates said data in any form or fashion to a third party, the user agrees to indemnify and hold harmless Washington County and its officials and employees from any and all claims, liability, damages, injuries, and suits, including court costs and reasonable attorney’s fees, arising from the use of the Washington County data by the user and any third party.

  3. Washington State Public Schools 2024

    • geo.wa.gov
    • waospi-waospigis.hub.arcgis.com
    • +1more
    Updated Sep 19, 2024
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    WA Office of Superintendent of Public Instruction (2024). Washington State Public Schools 2024 [Dataset]. https://geo.wa.gov/maps/b23fec72eaba4cd89431b08dc25d9eb8
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    Dataset updated
    Sep 19, 2024
    Dataset provided by
    Washington State Office of Superintendent of Public Instructionhttps://ospi.k12.wa.us/
    Authors
    WA Office of Superintendent of Public Instruction
    Area covered
    Description

    NOTE: This feature Supersedes All Previous EditionsData is in WGS84 CoordinatesThis data was compiled by the Washington Office of Superintendent of Public Instruction (OSPI) to provide location and attribute information regarding currently active public schools in the State of Washington. This layer should match the current School Directory published by OSPI from the Education Data System (EDS). This layer includes Charter Schools, Tribal Compact Schools, and Vocational/Technical Skills Centers previously published separately.

  4. w

    Washington Educational Service Districts

    • geo.wa.gov
    • data-wutc.opendata.arcgis.com
    • +2more
    Updated Feb 14, 2025
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    WA Office of Superintendent of Public Instruction (2025). Washington Educational Service Districts [Dataset]. https://geo.wa.gov/datasets/WAOSPIGIS::washington-educational-service-districts-2
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    WA Office of Superintendent of Public Instruction
    Area covered
    Description

    NOTE: This Feature Service Supersedes All Previous EditionsTABULAR UPDATES ONLY NO BOUNDARY CHANGESThis feature service depicts the boundaries of the nine Educational Service Districts in Washington State. Educational Service Districts are nine regional educational support agencies partnering with the Office of Superintendent of Public Instruction (OSPI) to provide essential services for school districts and communities and to help OSPI implement legislatively-supported education initiatives. This service also adds the ESD office locations.Republish to remove the year from the naming convention

  5. d

    TEST Centroids for School District maps

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 29, 2025
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    data.wa.gov (2025). TEST Centroids for School District maps [Dataset]. https://catalog.data.gov/dataset/test-centroids-for-school-district-maps
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.wa.gov
    Description

    Matching file for applying coordinates to districts when crating boundary maps in Socrata. See first two columns for corrections to districts where calculated centroid is not within boundaries.

  6. a

    School Districts

    • data-grantcountywa.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 21, 2018
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    Grant County, Washington (2018). School Districts [Dataset]. https://data-grantcountywa.opendata.arcgis.com/datasets/b04c6c793ebb4d8d9b95adef4594abb0
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    Dataset updated
    Nov 21, 2018
    Dataset authored and provided by
    Grant County, Washington
    Area covered
    Description

    School districts are Washington State areas established to educate all children without distinction or preference because of race, color, caste, or sex. School district is a variable in the computation of property tax.School board districts are Washington State areas established for representation by elected members. School boards are often legally responsible to the state for governance of the school district. School boards can establish policies, hire staff, approve the budget, and oversee the development of curriculum and building construction programs.

  7. D

    [To be retired] TEST Centroids for School District maps

    • data.wa.gov
    application/rdfxml +5
    Updated Nov 17, 2017
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    [test content] (2017). [To be retired] TEST Centroids for School District maps [Dataset]. https://data.wa.gov/Data-wa-gov-Administration-/-To-be-retired-TEST-Centroids-for-School-District-/hn4a-bdxf
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    tsv, application/rssxml, application/rdfxml, csv, xml, jsonAvailable download formats
    Dataset updated
    Nov 17, 2017
    Dataset authored and provided by
    [test content]
    Description

    [This content will be retired after October 18, 2025. Contact opendata@wa.gov with questions.] Matching file for applying coordinates to districts when crating boundary maps in Socrata. See first two columns for corrections to districts where calculated centroid is not within boundaries.

  8. d

    DC Public Schools

    • opendata.dc.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +4more
    Updated Nov 22, 2013
    + more versions
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    City of Washington, DC (2013). DC Public Schools [Dataset]. https://opendata.dc.gov/datasets/dc-public-schools/about
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    Dataset updated
    Nov 22, 2013
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    This dataset includes all identifiable DCPS public elementary schools, middle schools, education campuses, high schools, and special education schools, as well as learning centers. This dataset does not include private or charter schools. School locations were identified from a database from the District of Columbia Public Schools, Office of Facilities Management.

  9. w

    Tacoma Elementary School Map

    • data.wu.ac.at
    csv, json, xml
    Updated Sep 15, 2016
    + more versions
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    Tacoma School District (2016). Tacoma Elementary School Map [Dataset]. https://data.wu.ac.at/schema/data_cityoftacoma_org/Nmk3eS05d3Q3
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    xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 2016
    Dataset provided by
    Tacoma School District
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Tacoma
    Description

    This is a list of Tacoma Schools provided for your convenience. For further information on Tacoma schools, visit the Tacoma School District website at http://www.tacoma.k12.wa.us/Pages/default.aspx

  10. a

    Middle School Attendance Zone Change Area

    • private-demo-dcdev.opendata.arcgis.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    Updated Jul 2, 2014
    + more versions
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    City of Washington, DC (2014). Middle School Attendance Zone Change Area [Dataset]. https://private-demo-dcdev.opendata.arcgis.com/maps/DCGIS::middle-school-attendance-zone-change-area
    Explore at:
    Dataset updated
    Jul 2, 2014
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    These maps display the areas throughout the city that were impacted by the new school attendance zones as of SY2015-16. The area is considered impacted if it was reassigned to a different school or reassigned to just one of its current school options (previously some areas had rights to multiple schools due to school closures). These maps do not take into account phasing in policies. For more information about the 2014 Student Assignment and Boundaries Review Process, visit https://dme.dc.gov.

  11. d

    School Attendance Zones Senior High SY15-16 through SY22-23

    • opendata.dc.gov
    • catalog.data.gov
    • +2more
    Updated Jul 2, 2014
    + more versions
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    City of Washington, DC (2014). School Attendance Zones Senior High SY15-16 through SY22-23 [Dataset]. https://opendata.dc.gov/datasets/DCGIS::school-attendance-zones-senior-high-sy15-16-through-sy22-23
    Explore at:
    Dataset updated
    Jul 2, 2014
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    DC High School Attendance. This dataset shows D.C. public middle school attendance areas, and added to the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). The boundaries were recommended by the Advisory Committee on Student Assignment and accepted by the Mayor. These new boundaries will go into effect in the 2015-16 school year and significant phasing in policies will be put into place. See DME.dc.gov for more information. Current for the 2018-2019 school year.

  12. D

    Childcare Need & Supply by School District

    • data.wa.gov
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Jan 14, 2022
    + more versions
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    Department of Children, Youth & Families (2022). Childcare Need & Supply by School District [Dataset]. https://data.wa.gov/Education/Childcare-Need-Supply-by-School-District/psnw-sxk6
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    json, csv, xml, tsv, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 14, 2022
    Dataset authored and provided by
    Department of Children, Youth & Families
    Description

    Statewide, DCYF estimates that families of about 305,000 children age B-5 not yet in school need child care. Only about 34% of those children are enrolled in licensed child care or preschool.

    The percent of need met for child care and preschool for young children varies widely across the state.

    The maps below illustrate the estimated percent of child care need for these families currently met by licensed child care and preschool. To capture the variability of met need across the state, maps are available by County, Legislative District, and Zip Code

  13. School Learning Modalities, 2021-2022

    • datahub.hhs.gov
    • data.virginia.gov
    • +5more
    application/rdfxml +5
    Updated Jan 6, 2023
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    Centers for Disease Control and Prevention (2023). School Learning Modalities, 2021-2022 [Dataset]. https://datahub.hhs.gov/National/School-Learning-Modalities-2021-2022/aitj-yx37
    Explore at:
    json, application/rdfxml, tsv, csv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 6, 2023
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    License

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

    Description

    The 2021-2022 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 2021-2022 school year and the Fall 2022 semester, from August 2021 – December 2022.

    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 August 1, 2021 to June 24, 2022 correspond to the 2021-2022 school year. During this time frame, data from the AEI/Return to Learn Tracker and most state dashboards were not available. Inferred modalities with a probability below 0.6 were deemed inconclusive and were omitted. During the Fall 2022 semester, modalities for districts with a school closure reported by Burbio were updated to either “Remote”, if the closure spanned the entire week, or “Hybrid”, if the closure spanned 1-4 days of the week.
      • Data from August 1, 2022 to December 31, 2022 correspond to the 2022-2023 school year and were processed in a similar manner to data from the 2021-2022 school year.
      • 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

  14. School Learning Modalities, 2020-2021

    • healthdata.gov
    • data.virginia.gov
    • +4more
    application/rdfxml +5
    Updated Feb 27, 2023
    + more versions
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    Centers for Disease Control and Prevention (2023). School Learning Modalities, 2020-2021 [Dataset]. https://healthdata.gov/National/School-Learning-Modalities-2020-2021/a8v3-a3m3
    Explore at:
    application/rdfxml, tsv, csv, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 27, 2023
    Dataset authored and provided by
    Centers for Disease Control and Prevention
    License

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

    Description

    The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2020-2021 school year, from August 2020 – June 2021.

    These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">National Center for Educational Statistics (NCES) for 2020-2021.

    School learning modality types are defined as follows:

      • In-Person: All schools within the district offer face-to-face instruction 5 days per week to all students at all available grade levels.
      • Remote: Schools within the district do not offer face-to-face instruction; all learning is conducted online/remotely to all students at all available grade levels.
      • Hybrid: Schools within the district offer a combination of in-person and remote learning; face-to-face instruction is offered less than 5 days per week, or only to a subset of students.

    Data Information

      • School learning modality data provided here are model estimates using combined input data and are not guaranteed to be 100% accurate. This learning modality dataset was generated by combining data from four different sources: Burbio [1], MCH Strategic Data [2], the AEI/Return to Learn Tracker [3], and state dashboards [4-20]. These data were combined using a Hidden Markov model which infers the sequence of learning modalities (In-Person, Hybrid, or Remote) for each district that is most likely to produce the modalities reported by these sources. This model was trained using data from the 2020-2021 school year. Metadata describing the location, number of schools and number of students in each district comes from NCES [21].
      • You can read more about the model in the CDC MMWR: https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e2.htm" target="_blank">COVID-19–Related School Closures and Learning Modality Changes — United States, August 1–September 17, 2021.
      • The metrics listed for each school learning modality reflect totals by district and the number of enrolled students per district for which data are available. School districts represented here exclude private schools and include the following NCES subtypes:
        • Public school district that is NOT a component of a supervisory union
        • Public school district that is a component of a supervisory union
        • Independent charter district
      • “BI” in the state column refers to school districts funded by the Bureau of Indian Education.

    Technical Notes

      • Data from September 1, 2020 to June 25, 2021 correspond to the 2020-2021 school year. During this timeframe, all four sources of data were available. Inferred modalities with a probability below 0.75 were deemed inconclusive and were omitted.
      • Data for the month of July may show “In Person” status although most school districts are effectively closed during this time for summer break. Users may wish to exclude July data from use for this reason where applicable.

    Sources

  15. d

    School Election Districts

    • trees.dc.gov
    • opendata.dc.gov
    • +5more
    Updated Jun 10, 2002
    + more versions
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    City of Washington, DC (2002). School Election Districts [Dataset]. https://trees.dc.gov/datasets/45576868e682429c85c3716a21947bd4
    Explore at:
    Dataset updated
    Jun 10, 2002
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    School district polygons. This dataset shows polygons representing districts used in the election of Board of Education representatives. It was created for the D.C. public schools and later added to the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO).Each district includes two Councilmanic wards. Created in fall of 2000. Data was reviewed by D.C. Public Schools in fall 2000.

  16. a

    Statewide School Districts 2023 Map (PDF)

    • csagis-uok.opendata.arcgis.com
    Updated Jul 22, 2020
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    twoody_uok (2020). Statewide School Districts 2023 Map (PDF) [Dataset]. https://csagis-uok.opendata.arcgis.com/documents/6f9418a3dea94779854b4450f573d8ff
    Explore at:
    Dataset updated
    Jul 22, 2020
    Dataset authored and provided by
    twoody_uok
    Description

    This map was prepared by the Center for Spatial Analysis, University of Oklahoma. School District Boundaries are based on information provided by the Oklahoma Department of Education. All boundary questions and changes should be directed to this agency. Map scale is 1:450,000.Last Updated: 06/016/2023

  17. d

    Senior High School Attendance Zone Change Area

    • opendata.dc.gov
    • catalog.data.gov
    Updated Jul 2, 2014
    + more versions
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    City of Washington, DC (2014). Senior High School Attendance Zone Change Area [Dataset]. https://opendata.dc.gov/datasets/DCGIS::senior-high-school-attendance-zone-change-area
    Explore at:
    Dataset updated
    Jul 2, 2014
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    Description

    These maps display the areas throughout the city that were impacted by the new school attendance zones as of SY2015-16. The area is considered impacted if it was reassigned to a different school or reassigned to just one of its current school options (previously some areas had rights to multiple schools due to school closures). These maps do not take into account phasing in policies. For more information about the 2014 Student Assignment and Boundaries Review Process, visit https://dme.dc.gov.

  18. w

    Tacoma Middle Schools Map

    • data.wu.ac.at
    csv, json, xml
    Updated Sep 15, 2016
    + more versions
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    Tacoma School District (2016). Tacoma Middle Schools Map [Dataset]. https://data.wu.ac.at/schema/data_cityoftacoma_org/YmlpbS1kbTNt
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Sep 15, 2016
    Dataset provided by
    Tacoma School District
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Tacoma
    Description

    This is a list of Tacoma Schools provided for your convenience. For further information on Tacoma schools, visit the Tacoma School District website at http://www.tacoma.k12.wa.us/Pages/default.aspx

  19. g

    EnviroAtlas - Washington, DC - Greenspace Around Schools by Block Group |...

    • gimi9.com
    + more versions
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    EnviroAtlas - Washington, DC - Greenspace Around Schools by Block Group | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_enviroatlas-washington-dc-greenspace-around-schools-by-block-group2/
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    License

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

    Area covered
    Washington
    Description

    This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  20. a

    Where Do I go to School

    • gisoffice-washcomd.opendata.arcgis.com
    Updated Feb 3, 2015
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    Washington County, Maryland (2015). Where Do I go to School [Dataset]. https://gisoffice-washcomd.opendata.arcgis.com/datasets/where-do-i-go-to-school
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    Dataset updated
    Feb 3, 2015
    Dataset authored and provided by
    Washington County, Maryland
    Description

    Users of this map can easily enter an address, click on the map, or have the map find their location(ip or gps on mobile) and find the school districts that location is in. Users are provided with the outline of the district as well as links to the schools website.

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WA Office of Superintendent of Public Instruction (2024). Washington School Districts 2024 [Dataset]. https://geo.wa.gov/datasets/WAOSPIGIS::washington-school-districts-2024

Washington School Districts 2024

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Dataset updated
Sep 19, 2024
Dataset authored and provided by
WA Office of Superintendent of Public Instruction
Area covered
Description

NOTE: This Feature Service Supersedes All Previous EditionsTABULAR UPDATES ONLY NO BOUNDARY CHANGESThis data was compiled by the Washington Office of Superintendent of Public Instruction (OSPI) to provide boundary and attribute information for the 295 Public School Districts in the State of Washington. The polygons are our best representation of current district boundaries based on legal descriptions, county, and other available GIS data. Users should contact the local school district(s) to confirm the interpretation of district boundaries in questions.

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