29 datasets found
  1. a

    High School Graduate Count

    • gis.data.alaska.gov
    • dcra-cdo-dcced.opendata.arcgis.com
    • +5more
    Updated Sep 5, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dept. of Commerce, Community, & Economic Development (2019). High School Graduate Count [Dataset]. https://gis.data.alaska.gov/datasets/DCCED::high-school-graduate-count
    Explore at:
    Dataset updated
    Sep 5, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Count of high school graduates for each public school in Alaska. Data covers the School Year 2013 to the present. Each year's count includes students graduating at any point during the school year (July 1 to June 30).Source: Alaska Department of Education & Early Development

    This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center.

  2. d

    Data from: GIS Data for Selected Data from the Geologic Map of the Western...

    • catalog.data.gov
    • data.usgs.gov
    Updated Sep 13, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2025). GIS Data for Selected Data from the Geologic Map of the Western Part of the Cut Bank 1 Degree x 2 Degrees Quadrangle, Northwestern Montana [Dataset]. https://catalog.data.gov/dataset/gis-data-for-selected-data-from-the-geologic-map-of-the-western-part-of-the-cut-bank-1-deg
    Explore at:
    Dataset updated
    Sep 13, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Cut Bank, Montana
    Description

    This U.S. Geological Survey (USGS) data release updates the digital geospatial database for the southern portion of the geologic map of the western part of the Cut Bank 1 degree x 2 degrees quadrangle, northwestern Montana (Harrison and others, 1998). Attribute tables and geospatial features (points, lines, and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020). The 899,246-acre map area represents the geology at a publication scale of 1:250,000. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected, and missing orientation points are included in this version. The map covers primarily Flathead, Glacier, Pondera, and Teton Counties, but also includes minor parts of Lake County. References: Harrison, J.E., Whipple, J.W., and Lidke, 1998, Geologic Map of the Western Part of the Cut Bank 1 degree x 2 degrees quadrangle, Northwestern Montana: U.S. Geological Survey Miscellaneous Investigations Series Map I-2593, version 1.0, 31 p., scale 1:250,000, https://ngmdb.usgs.gov/Prodesc/proddesc_13063.htm. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

  3. d

    Data from: GIS Data for Geologic and Structure Maps of the Wallace 1 x 2...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated May 31, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of the Interior (2023). GIS Data for Geologic and Structure Maps of the Wallace 1 x 2 Degrees Quadrangle, Montana and Idaho [Dataset]. https://datasets.ai/datasets/gis-data-for-geologic-and-structure-maps-of-the-wallace-1-x-2-degrees-quadrangle-montana-a
    Explore at:
    55Available download formats
    Dataset updated
    May 31, 2023
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Montana, Idaho
    Description

    The data release for the geologic and structure maps of the Wallace 1 x 2 degrees quadrangle, Montana and Idaho, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-1509-A (Harrison and others, 2000). The updated digital data present the attribute tables and geospatial features (points, lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 16,754 square kilometer, geologically complex Wallace quadrangle in northern Idaho and western Montana, at a publication scale of 1:250,000. The map covers primarily Lake, Mineral, Sanders and Shoshone Counties, but also includes minor parts of Flathead, Lincoln, and Missoula Counties. These GIS data supersede those in the interpretive report: Harrison, J.E., Griggs, A.B., Wells, J.D., Kelley, W.N., Derkey, P.D., and EROS Data Center, 2000, Geologic and structure maps of the Wallace 1- x 2- degree quadrangle, Montana and Idaho: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-1509-A, https://pubs.usgs.gov/imap/i1509a/.

  4. u

    Earth Data Analysis Center

    • gstore.unm.edu
    zip
    Updated Jan 27, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Earth Data Analysis Center (2014). Earth Data Analysis Center [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/a8b934f4-4377-402d-b455-5e0ccc65ee36/metadata/FGDC-STD-001-1998.html
    Explore at:
    zip(14)Available download formats
    Dataset updated
    Jan 27, 2014
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Nov 30, 2012
    Area covered
    West Bounding Coordinate -109.050113 East Bounding Coordinate -103.000673 North Bounding Coordinate 36.99943 South Bounding Coordinate 31.331905, New Mexico
    Description

    The Protected Areas Database of the United States (PAD-US) is a geodatabase, managed by USGS GAP, that illustrates and describes public land ownership, management and other conservation lands, including voluntarily provided privately protected areas. The State, Regional and LCC geodatabases contain two feature classes. The PADUS1_3_FeeEasement feature class and the national MPA feature class. Legitimate and other protected area overlaps exist in the full inventory, with Easements loaded on top of Fee. Parcel data within a protected area are dissolved in this file that powers the PAD-US Viewer. As overlaps exist, GAP creates separate analytical layers to summarize area statistics for "GAP Status Code" and "Owner Name". Contact the PAD-US Coordinator for more information. The lands included in PAD-US are assigned conservation measures that qualify their intent to manage lands for the preservation of biological diversity and to other natural, recreational and cultural uses; managed for these purposes through legal or other effective means. The geodatabase includes: 1) Geographic boundaries of public land ownership and voluntarily provided private conservation lands (e.g., Nature Conservancy Preserves); 2) The combination land owner, land manager, management designation or type, parcel name, GIS Acres and source of geographic information of each mapped land unit 3) GAP Status Code conservation measure of each parcel based on USGS National Gap Analysis Program (GAP) protection level categories which provide a measurement of management intent for long-term biodiversity conservation 4) IUCN category for a protected area's inclusion into UNEP-World Conservation Monitoring Centre's World Database for Protected Areas. IUCN protected areas are defined as, "A clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values" and are categorized following a classification scheme available through USGS GAP; 5) World Database of Protected Areas (WDPA) Site Codes linking the multiple parcels of a single protected area in PAD-US and connecting them to the Global Community. As legitimate and other overlaps exist in the combined inventory GAP creates separate analytical layers to obtain area statistics for "GAP Status Code" and "Owner Name". PAD-US version 1.3 Combined updates include: 1) State, local government and private protected area updates delivered September 2011 from PAD-US State Data Stewards: CO (Colorado State University), FL (Florida Natural Areas Inventory), ID (Idaho Fish and Game), MA (The Commonwealth's Office of Geographic Information Systems, MassGIS), MO (University of Missouri, MoRAP), MT (Montana Natural Heritage Program), NM (Natural Heritage New Mexico), OR (Oregon Natural Heritage Program), VA (Department of Conservation and Recreation, Virginia Natural Heritage Program). 2) Select local government (i.e. county, city) protected areas (3,632) across the country (to complement the current PAD-US inventory) aggregated by the Trust for Public Land (TPL) for their Conservation Almanac that tracks the conservation finance movement across the country. 3) A new Date of Establishment field that identifies the year an area was designated or otherwise protected, attributed for 86% of GAP Status Code 1 and 2 protected areas. Additional dates will be provided in future updates. 4) A national wilderness area update from wilderness.net 5) The Access field that describes public access to protected areas as defined by data stewards or categorical assignment by Primary Designation Type. . The new Access Source field documents local vs. categorical assignments. See the PAD-US Standard Manual for more information: gapanalysis.usgs.gov/padus 6) The transfer of conservation measures (i.e. GAP Status Codes, IUCN Categories) and documentation (i.e. GAP Code Source, GAP Code Date) from PAD-US version 1.2 or categorical assignments (see PAD-US Standard) when not provided by data stewards 7) Integration of non-sensitive National Conservation Easement Database (NCED) easements from August 2011, July 2012 with PAD-US version 1.2 easements. Duplicates were removed, unless 'Stacked' = Y and multiple easements exist. 8) Unique ID's transferred from NCED or requested for new easements. NCED and PAD-US are linked via Source UID in the PAD-US version 1.3 Easement feature class. 9) Official (member and eligible) MPAs from the NOAA MPA Inventory (March 2011, www.mpa.gov) translated into the PAD-US schema with conservation measures transferred from PAD-US version 1.2 or categorically assigned to new protected areas. Contact the PAD-US Coordinator for documentation of categorical GAP Status Code assignments for MPAs. 10) Identified MPA records that overlap existing protected areas in the PAD-US Fee feature class (i.e. PADUS Overlap field in MPA feature class). For example, many National Wildlife Refuges and National Parks are also MPAs and are represented in the PAD-US MPA and Fee feature classes.

  5. n

    Proprietary

    • data.gis.ny.gov
    • opdgig.dos.ny.gov
    • +3more
    Updated Dec 30, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ShareGIS NY (2022). Proprietary [Dataset]. https://data.gis.ny.gov/datasets/proprietary
    Explore at:
    Dataset updated
    Dec 30, 2022
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Non-degree granting Proprietary Schools in New York State

  6. d

    Data from: GIS Data (ver. 2) for Geologic Terranes of the Hailey 1 x 2...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Jun 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of the Interior (2023). GIS Data (ver. 2) for Geologic Terranes of the Hailey 1 x 2 Degrees Quadrangle and the Western Part of the Idaho Falls 1 x 2 Degrees Quadrangle, South-Central Idaho [Dataset]. https://datasets.ai/datasets/gis-data-ver-2-for-geologic-terranes-of-the-hailey-1-x-2-degrees-quadrangle-and-the-wester
    Explore at:
    55Available download formats
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Idaho Falls, Idaho
    Description

    The data release for the geologic terranes of the Hailey 1 x 2 degrees quadrangle and the western part of the Idaho Falls 1 x 2 degrees quadrangle, south-central Idaho is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Bulletin 2064-A (Worl and Johnson, 1995). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plate and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 6.1 million-acre, geologically complex Hailey quadrangle and the western part of the Idaho Falls quadrangle, at a publication scale of 1:250,000. The map covers primarily Blaine, Camas, Custer and Elmore Counties, but also includes minor parts of Ada, Butte, Gooding, Lincoln, and Minidoka Counties. These GIS data supersede those in the interpretive report: Worl, R.G. and Johnson, K.M., 1995, Geology and mineral deposits of the Hailey 1 degree x 2 degrees quadrangle and the western part of the Idaho Falls 1 degree x 2 degrees quadrangle, south-central Idaho - an overview: U.S. Geological Survey, Bulletin 2064-A, scale 1:250,000, https://pubs.usgs.gov/bul/b2064-a/.

  7. U

    GIS Data for Geologic Map of the Butte 1 x 2 Degrees Quadrangle, Montana

    • data.usgs.gov
    • datasets.ai
    • +2more
    Updated Jul 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Edward Larkin (2024). GIS Data for Geologic Map of the Butte 1 x 2 Degrees Quadrangle, Montana [Dataset]. http://doi.org/10.5066/P9L5THX0
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Edward Larkin
    License

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

    Time period covered
    Sep 29, 2022
    Area covered
    Montana
    Description

    The data release for the geologic map of the Butte 1 degree x 2 degrees quadrangle, Montana, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in Montana Bureau of Mines and Geology Open File Report MBMG 363 (Lewis, 1998). The updated digital data present the attribute tables and geospatial features (points, lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 4.4 million acre, geologically complex Butte 1 x 2 degrees quadrangle, at a publication scale of 1:250,000. The map covers parts of Deer Lodge, Granite, Jefferson, Lewis and Clark, Missoula, Powell, Ravalli, and Silver Bow Counties. These GIS data supersede ...

  8. m

    MassGIS Data: Massachusetts Schools (Pre-K through High School)

    • mass.gov
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS (Bureau of Geographic Information) (2025). MassGIS Data: Massachusetts Schools (Pre-K through High School) [Dataset]. https://www.mass.gov/info-details/massgis-data-massachusetts-schools-pre-k-through-high-school
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    MassGIS (Bureau of Geographic Information)
    Area covered
    Massachusetts
    Description

    December 2024

  9. m

    MassGIS Data: Colleges and Universities

    • mass.gov
    Updated Aug 29, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS (Bureau of Geographic Information) (2018). MassGIS Data: Colleges and Universities [Dataset]. https://www.mass.gov/info-details/massgis-data-colleges-and-universities
    Explore at:
    Dataset updated
    Aug 29, 2018
    Dataset authored and provided by
    MassGIS (Bureau of Geographic Information)
    Area covered
    Massachusetts
    Description

    March 2024

  10. b

    Percent Population (25 Years and over) With High School Diploma and Some...

    • data.baltimorecity.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 13, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Baltimore Neighborhood Indicators Alliance (2020). Percent Population (25 Years and over) With High School Diploma and Some College or Associates Degree - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::percent-population-25-years-and-over-with-high-school-diploma-and-some-college-or-associates-degree-city
    Explore at:
    Dataset updated
    Mar 13, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of persons that have completed, graduated, or received a high school diploma or GED and also have taken some college courses or completed their Associate's degree. This is a standard indicator used to measure the portion of the population with a basic level of skills needed for the workplace. Persons under the age of 25 are not included in this analysis since many of these persons are still attending various levels of schooling. Source: American Community Survey Years Available: 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023

  11. a

    Raw 1/10th Degree Data (All)

    • sdgs.amerigeoss.org
    • resilience.climate.gov
    • +17more
    Updated Jun 29, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MapMaker (2023). Raw 1/10th Degree Data (All) [Dataset]. https://sdgs.amerigeoss.org/datasets/mpmkr::observed-position-points?layer=10
    Explore at:
    Dataset updated
    Jun 29, 2023
    Dataset authored and provided by
    MapMaker
    Area covered
    Description

    Raw 1/10th Degree Wind Force Probability data for all wind speeds.

  12. D

    Education - Seattle Neighborhoods

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Education - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Education-Seattle-Neighborhoods/vuww-ynb6
    Explore at:
    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

  13. D

    Disability and Health Insurance - Seattle Neighborhoods

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Disability and Health Insurance - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Disability-and-Health-Insurance-Seattle-Neighborho/nxn5-xp4j
    Explore at:
    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 disabilities and health insurance related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes C21007 Age by Veteran Status by Poverty Status in the Past 12 Months by Disability Status, B27010 Types of Health Insurance Coverage by Age, B22010 Receipt of Food Stamps/SNAP by Disability Status for Households. 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): C21007, B27010, B22010


    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

  14. d

    Data from: GIS Data for Geologic Map of the Challis 1 x 2 Degrees...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2025). GIS Data for Geologic Map of the Challis 1 x 2 Degrees Quadrangle, Idaho [Dataset]. https://catalog.data.gov/dataset/gis-data-for-geologic-map-of-the-challis-1-x-2-degrees-quadrangle-idaho
    Explore at:
    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Idaho
    Description

    The data release for the geologic map of the Challis 1 x 2 degrees quadrangle, Idaho, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations I-1819 (Fisher and others, 1992). The updated digital data present the attribute tables and geospatial features (points, lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 4.4 million acre, geologically complex Challis 1 x 2 degrees quadrangle, at a publication scale of 1:250,000. The map covers primarily Boise, Custer, Lemhi and Valley Counties, but also includes minor parts of Elmore County. These GIS data supersede those in the interpretive report: Fisher, F.S., McIntyre, D.H., and Johnson, K.M., 1992, Geologic map of the Challis 1 degree x 2 degrees quadrangle, Idaho: U.S. Geological Survey, Miscellaneous Investigations Series Map I-1819, scale 1:250,000, https://pubs.usgs.gov/imap/i-1819/

  15. D

    Seattle Neighborhood Profiles King County and Seattle Medians

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Seattle Neighborhood Profiles King County and Seattle Medians [Dataset]. https://data.seattle.gov/dataset/Seattle-Neighborhood-Profiles-King-County-and-Seat/nd8i-5g94
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    King County, Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series for King County and City of Seattle median values for a variety of topics including age, gross rent, monthly owner costs, family and nonfamily incomes, earnings. Includes the margin of error for the values.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2010, 2015, 2020, 2023


    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 <a

  16. D

    Languages and English Ability - Seattle Neighborhoods

    • data.seattle.gov
    • gimi9.com
    • +2more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Languages and English Ability - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Languages-and-English-Ability-Seattle-Neighborhood/d2c7-tkpy
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on languages spoken and English ability related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B16004 Age by Language Spoken at Home by Ability to Speak English, C16002 Household Language by Household Limited English-Speaking Status. 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): B16004, C16002


    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 href='https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch08.pdf' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc

  17. c

    Water Balance App

    • resilience.climate.gov
    • caribbeangeoportal.com
    • +12more
    Updated Sep 29, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2017). Water Balance App [Dataset]. https://resilience.climate.gov/datasets/esri::water-balance-app
    Explore at:
    Dataset updated
    Sep 29, 2017
    Dataset authored and provided by
    Esri
    Description

    Click anywhere on earth to see how the water balance is changing over time. This app is based on data from GLDAS version 2.1, which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000. Because the model is run with 0.25 degree spatial resolution (~30 km), these data should only be used for regional analysis. A specific farm or other small area might experience very different conditions than the region around it, especially because human influences like irrigation are not included.This app can also be seen as a useful template for sharing other climate datasets. If you would like to customize it for your own organization, or use it as a starting point for your own scientific application, the source code is available on github for anyone to use.

  18. d

    Shoreline Mapping Program of PORT OF TAMPA, FL, FL1101

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Oct 31, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Mapping Program of PORT OF TAMPA, FL, FL1101 [Dataset]. https://catalog.data.gov/dataset/shoreline-mapping-program-of-port-of-tampa-fl-fl11011
    Explore at:
    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    Florida, Tampa
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF TAMPA, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

  19. Colleges and Universities

    • gis-calema.opendata.arcgis.com
    Updated Jan 16, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2018). Colleges and Universities [Dataset]. https://gis-calema.opendata.arcgis.com/datasets/colleges-and-universities
    Explore at:
    Dataset updated
    Jan 16, 2018
    Dataset provided by
    California Governor's Office of Emergency Services
    Authors
    CA Governor's Office of Emergency Services
    Area covered
    Description

    The Colleges and Universities feature class is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/). Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories.

  20. a

    Degree Programs Complete by New Mexico County, 2019

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 25, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2022). Degree Programs Complete by New Mexico County, 2019 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/258185b9b483447495e1071d6a2ec249
    Explore at:
    Dataset updated
    Mar 25, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Description

    The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: Degree Programs Complete by NM County, 2019Item Type: CSVSummary: Degree programs and leveled completed by program type and NM County, 2019Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: New Mexico Dept of Workforce SolutionsFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=258185b9b483447495e1071d6a2ec249UID: 21Data Requested: Current and projected employment stats for workforce categories across the supply chainMethod of Acquisition: Data is publicly available for download by the NM Dept of Workforce SolutionsDate Acquired: March 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 3Tags: PENDING

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Dept. of Commerce, Community, & Economic Development (2019). High School Graduate Count [Dataset]. https://gis.data.alaska.gov/datasets/DCCED::high-school-graduate-count

High School Graduate Count

Explore at:
193 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 5, 2019
Dataset authored and provided by
Dept. of Commerce, Community, & Economic Development
Area covered
Description

Count of high school graduates for each public school in Alaska. Data covers the School Year 2013 to the present. Each year's count includes students graduating at any point during the school year (July 1 to June 30).Source: Alaska Department of Education & Early Development

This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Department of Education & Early Development Data Center.

Search
Clear search
Close search
Google apps
Main menu