75 datasets found
  1. a

    Highest Education Completed is Bachelor's Degree

    • hub.arcgis.com
    Updated May 19, 2020
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    Welcome to the City of Corona GIS System (2020). Highest Education Completed is Bachelor's Degree [Dataset]. https://hub.arcgis.com/maps/cityofcorona::highest-education-completed-is-bachelors-degree/about
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    Dataset updated
    May 19, 2020
    Dataset authored and provided by
    Welcome to the City of Corona GIS System
    Area covered
    Description

    This webmap displays the percent of population 25 years and over whose highest education completed is bachelor's degree or higher. The webmap contains the following layers: City of Corona Limits, State Boundary, County Boundary and Tract Boundary.

  2. b

    Percent Population (25 Years and over) with a Bachelor's Degree or Above

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    • +1more
    Updated Mar 13, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percent Population (25 Years and over) with a Bachelor's Degree or Above [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::percent-population-25-years-and-over-with-a-bachelors-degree-or-above
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    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 Bachelor’s or an advanced degree. This is an indicator used to measure the portion of the population having an advanced 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, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

  3. a

    Bachelors Degree or Higher (census tract)

    • egis-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +2more
    Updated Oct 30, 2023
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    County of Los Angeles (2023). Bachelors Degree or Higher (census tract) [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/bachelors-degree-or-higher-census-tract
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    Dataset updated
    Oct 30, 2023
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    For source data: https://data.census.gov/table/ACSDP5Y2023.DP02 - field DP02_0068PEFor more information about this dataset, please contact egis@isd.lacounty.gov

  4. c

    Percent of 25 or Older with a Bachelor's Degree or More 2020

    • geohub.cityoftacoma.org
    Updated May 24, 2021
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    City of Tacoma GIS (2021). Percent of 25 or Older with a Bachelor's Degree or More 2020 [Dataset]. https://geohub.cityoftacoma.org/datasets/ba99dac9103943ee8430839eea4d3a13
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    Dataset updated
    May 24, 2021
    Dataset authored and provided by
    City of Tacoma GIS
    License

    https://geohub.cityoftacoma.org/pages/disclaimerhttps://geohub.cityoftacoma.org/pages/disclaimer

    Area covered
    Description

    How did the City create the Equity IndexWorking with Ohio State University's Kirwan Institute of Race and Social Justice, the City complied the Equity/Opportunity Index to help facilitate data-driven decision-making processes and enable leaders to distribute resources better and plan to fund programs and services, minimize inequities and maximize opportunities.The indicators displayed in the Equity/Opportunity Index have been shown to have a direct correlation to equity. For more information, please reference the additional document on the evidence-based research determinant categories. The data is measured granularly by census block group.To just access the overall equity layer use this url: https://gis.cityoftacoma.org/arcgis/rest/services/General/Equity2020/MapServer/1 The list below comprise the Indicators per index: Accessibility Parks & Open SpaceVoter ParticipationHealthy Food Access IndexAverage Road QualityHome Internet AccessTransit Options & AccessVehicle AccessLivabilityTacoma Crime IndexESRI Crime IndexCost-Burdened HouseholdsAverage Life ExpectancyUrban Tree CanopyTacoma Nuisance IndexMedian Home ValueEducationAverage Student Test RateAverage Student Mobility4-Year High School Graduation RatePercent of 25+-Year-Olds with Bachelor's Degree or MoreEconomyJobs Index (availableness of good paying jobs)Median Household Income200% Below of the Poverty Line or LessUnemployment RateEnvironmental HealthEnvironmental ExposuresNOx- Diesel Emissions (Annual Tons/Km2)Ozone ConcentrationPM2.5 ConcentrationPopulations Near Heavy Traffic RoadwaysToxic Releases from Facilities (RSEI Model)Environmental EffectsLead Risk from Housing (%)Proximity to Hazardous Waste Treatment Storage and Disposal Facilities (TSDFs)Proximity to National Priorities List Facilities (Superfund Sites)Proximity to Risk Management Plan (RMP) FacilitiesWastewater DischargeWhat does Very High or Very Low Equity/Opportunity mean?Very High Equity/Opportunity represents locations that have access to better opportunities to succeed and excel in life. The indicators include high-performing schools, a safe environment, access to adequate transportation, safe neighborhoods, and sustainable employment. In contrast, Low Equity/Opportunity areas have more obstacles and barriers within the area. These communities have limited access to institutional or societal investments with limits their quality of life.Why is the North and West End labeled Red?When looking at data related to equity and social justice, we want to be mindful not to reinforce historical representations of low-income or communities of color as bad or negative. To help visualize the areas of high opportunity and call out the need for more equity, we chose to use red. We flipped the gradient to highlight disparities within the community. Besides, we refrained from using green or positive colors with referring to dominant communities (white communities).Can I download the full dataset and display other variables over the Equity Index?Yes, by downloading the file and uploading it to ArcGIS, you will be able to see all the indicators, Z-Scores, indices, and the index overall value. You can overlay other variables for further analysis and save the output into your database. If your team wants to add new indicators to the Equity Index, contact Bucoda Warren. Can I see additional or multiple map layers?Within the left navigation panel, you can aggregate the index layers by determinate social categories; Accessibility, Education, Economy, Livability and Environmental Health.

  5. a

    Population 25 and over with Bachelor's Degree or Higher Education Level...

    • atlas-connecteddmv.hub.arcgis.com
    Updated Sep 10, 2019
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    ArcGIS Living Atlas Team (2019). Population 25 and over with Bachelor's Degree or Higher Education Level (ACS) [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/maps/2547cbfa8a1146e5812d0d9c699cf91f
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    Dataset updated
    Sep 10, 2019
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows the percentage of people age 25+ with a bachelor's degree or higher education level. This is shown by state, county, and census tracts throughout the US. Zoom to any city to see the pattern there, or use one of the bookmarks to explore different areas. For more information about the education attainment breakdown from the US Census Bureau, click here.The pop-up is configured to show the overall breakdown of educational attainment for the population 25+. The data shown is current-year American Community Survey (ACS) data from the US Census Bureau. The data is updated each year when the ACS releases its new 5-year estimates. For more information about the data, visit this page.To learn more about when the ACS releases data updates, click here.

  6. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geography%20%28Gis%20Specialty%29
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geography (Gis Specialty). It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geography (Gis Specialty). This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

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

    • catalog.data.gov
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Cave Creek School Quadrangle, Texas (NPS, GRD, GRI, LYJO, CCSC digital map) adapted from a Texas Bureau of Economic Geology, University of Texas at Austin Geologic Quadrangle Map by Barnes (1967) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-cave-creek-school-quadrangle-texas-nps-grd-gri-lyjo-ccsc-d-94b1b
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Austin, Texas
    Description

    The Digital Geologic-GIS Map of the Cave Creek School Quadrangle, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (ccsc_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (ccsc_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (lyjo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (lyjo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (ccsc_geology_metadata_faq.pdf). Please read the lyjo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ccsc_geology_metadata.txt or ccsc_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  8. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Gis
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Gis. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Gis. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  9. Digital Environmental Geologic-GIS Map for San Antonio Missions National...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Environmental Geologic-GIS Map for San Antonio Missions National Historical Park and Vicinity, Texas (NPS, GRD, GRI, SAAN, SAAN_environmental digital map) adapted from a Texas Bureau of Economic Geology, University of Texas at Austin unpublished map by the Texas Bureau of Economic Geology (1985) [Dataset]. https://catalog.data.gov/dataset/digital-environmental-geologic-gis-map-for-san-antonio-missions-national-historical-park-a
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Austin, Texas, San Antonio
    Description

    The Digital Environmental Geologic-GIS Map for San Antonio Missions National Historical Park and Vicinity, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (saan_environmental_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (saan_environmental_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (saan_environmental_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (saan_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saan_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (saan_environmental_geology_metadata_faq.pdf). Please read the saan_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (saan_environmental_geology_metadata.txt or saan_environmental_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm). Purpose:

  10. Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and...

    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts (NPS, GRD, GRI, MIMA, mima_bedrock digital map) adapted from a Boston College Master's Thesis map by Langford and Hepburn (2007), a U.S. Geological Survey Bulletin map by Hansen (1956) and a U.S. Geological Survey Open-File Report map by Stone and Stone (2006) [Dataset]. https://catalog.data.gov/dataset/digital-bedrock-geologic-gis-map-of-minuteman-national-historical-site-and-vicinity-massac
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Boston
    Description

    The Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mima_bedrock_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Boston College and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mima_bedrock_geology_metadata.txt or mima_bedrock_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 25.4 meters or 83.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  11. Colleges and Universities

    • vaccine-confidence-program-cdcvax.hub.arcgis.com
    • geodata.colorado.gov
    • +7more
    Updated Aug 27, 2020
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    Esri U.S. Federal Datasets (2020). Colleges and Universities [Dataset]. https://vaccine-confidence-program-cdcvax.hub.arcgis.com/maps/d257743c055e4206bd8a0f2d14af69fe
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    Dataset updated
    Aug 27, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Colleges and Universities This feature layer, utilizing data from the National Center for Education Statistics (NCES), displays colleges and universities in the U.S. and its territories. NCES uses the Integrated Postsecondary Education Data System (IPEDS) as the "primary source for information on U.S. colleges, universities, and technical and vocational institutions." According to NCES, this layer "contains directory information for every institution in the 2023-24 IPEDS universe. Includes name, address, city, state, zip code and various URL links to the institution"s home page, admissions, financial aid offices and the net price calculator. Identifies institutions as currently active, and institutions that participate in Title IV federal financial aid programs for which IPEDS is mandatory." University of the District of ColumbiaData currency: 2023Data source: IPEDS Complete Data FilesData modification: Removed fields with coded values and replaced with descriptionsFor more information: Integrated Postsecondary Education Data SystemSupport documentation: Data DictionaryFor feedback, please contact: ArcGIScomNationalMaps@esri.com U.S. Department of Education (ED) Per ED, "ED"s mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. ED was created in 1980 by combining offices from several federal agencies." ED"s employees and budget "are dedicated to:Establishing policies on federal financial aid for education, and distributing as well as monitoring those funds.Collecting data on America"s schools and disseminating research.Focusing national attention on key educational issues.Prohibiting discrimination and ensuring equal access to education."

  12. m

    Massachusetts Gateway Cities (Feature Service)

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    • +1more
    Updated May 6, 2024
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    MassGIS - Bureau of Geographic Information (2024). Massachusetts Gateway Cities (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/massachusetts-gateway-cities-feature-service
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    Dataset updated
    May 6, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    This map service from MassGIS displays the 26 Massachusetts Gateway Cities, municipalities with:population greater than 35,000 and less than 250,000;median household income below the state average;and rate of educational attainment of a bachelor’s degree or above that is below the state average.Read more about Gateway CitiesMap service also available.

  13. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Applied%20Geography%20%28Geography%20-%20Gis%20Major%29
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Applied Geography (Geography - Gis Major). It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Applied Geography (Geography - Gis Major). This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  14. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Geospatial%20Information%20Science%20%28Gis%29%20And%20Technology
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geospatial Information Science (Gis) And Technology. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geospatial Information Science (Gis) And Technology. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  15. Digital Geomorphic-GIS Map of the Kitty Hawk to Whalebone Junction Area...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 5, 2024
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    National Park Service (2024). Digital Geomorphic-GIS Map of the Kitty Hawk to Whalebone Junction Area (1:10,000 scale 2006 mapping), North Carolina (NPS, GRD, GRI, CAHA, KHWJ_geomorphology digital map) adapted from a East Carolina University unpublished digital data map by Ames and Riggs (2006) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-the-kitty-hawk-to-whalebone-junction-area-1-10000-scale-2006
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Kitty Hawk, North Carolina
    Description

    The Digital Geomorphic-GIS Map of the Kitty Hawk to Whalebone Junction Area (1:10,000 scale 2006 mapping), North Carolina is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (khwj_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (khwj_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (khwj_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (caha_fora_wrbr_geomorphology.pdf), 2.) the GRI ancillary map information document (.pdf) file (caha_fora_wrbr_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (khwj_geomorphology_metadata_faq.pdf). Please read the caha_fora_wrbr_geomorphology.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: East Carolina University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (khwj_geomorphology_metadata.txt or khwj_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:10,000 and United States National Map Accuracy Standards features are within (horizontally) 8.5 meters or 27.8 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  16. Digital Geologic-GIS Map of the Hye Quadrangle, Texas (NPS, GRD, GRI, LYJO,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Hye Quadrangle, Texas (NPS, GRD, GRI, LYJO, HYE digital map) adapted from a Texas Bureau of Economic Geology, University of Texas at Austin Geologic Quadrangle Map by Barnes (1965) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-hye-quadrangle-texas-nps-grd-gri-lyjo-hye-digital-map-adap-51a89
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Austin, Texas
    Description

    The Digital Geologic-GIS Map of the Hye Quadrangle, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (hye_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (hye_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (lyjo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (lyjo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (hye_geology_metadata_faq.pdf). Please read the lyjo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (hye_geology_metadata.txt or hye_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  17. Digital Surficial Geologic-GIS Map of the Little Pine Island Bayou Corridor...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 2, 2024
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    National Park Service (2024). Digital Surficial Geologic-GIS Map of the Little Pine Island Bayou Corridor Unit and Vicinity, Big Thicket National Preserve, Texas (NPS, GRD, GRI, BITH, LPIS_surficial digital map) adapted from a Lamar University unpublished map by Aronow (1982) [Dataset]. https://catalog.data.gov/dataset/digital-surficial-geologic-gis-map-of-the-little-pine-island-bayou-corridor-unit-and-vicin
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    Dataset updated
    Nov 2, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Pine Island Bayou, Texas
    Description

    The Digital Surficial Geologic-GIS Map of the Little Pine Island Bayou Corridor Unit and Vicinity, Big Thicket National Preserve, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (lpis_surficial_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (lpis_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (bith_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (bith_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (lpis_surficial_geology_metadata_faq.pdf). Please read the bith_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Lamar University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (lpis_surficial_geology_metadata.txt or lpis_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  18. Digital Geologic-GIS Map of Chickamauga and Chattanooga National Military...

    • catalog.data.gov
    • datasets.ai
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of Chickamauga and Chattanooga National Military Park and Vicinity, Georgia and Tennessee (NPS, GRD, GRI, CHCH, CHCH digital map) adapted from a University of Tennessee, Tectonics and Structural Geology Research Group unpublished digital data and poster map by Scruggs, Wunderlich and Hatcher (2013), and Tennessee Division of Geology Geologic Quadrangle Maps by Coker (unpublished), Finlayson, Barnes, Colvin and Luther (1964), and Wilson (1989) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-chickamauga-and-chattanooga-national-military-park-and-vicinit-59ef9
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Tennessee, Chattanooga
    Description

    The Digital Geologic-GIS Map of Chickamauga and Chattanooga National Military Park and Vicinity, Georgia and Tennessee is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (chch_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (chch_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (chch_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (chch_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chch_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (chch_geology_metadata_faq.pdf). Please read the chch_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: University of Tennessee, Tectonics and Structural Geology Research Group and Tennessee Division of Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (chch_geology_metadata.txt or chch_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  19. d

    Digital Geologic-GIS Map of the Yeager Creek Quadrangle, Texas (NPS, GRD,...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 4, 2024
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    National Park Service (2024). Digital Geologic-GIS Map of the Yeager Creek Quadrangle, Texas (NPS, GRD, GRI, LYJO, YEAG digital map) adapted from a Texas Bureau of Economic Geology, University of Texas at Austin Geologic Quadrangle Map by Barnes (1967) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-the-yeager-creek-quadrangle-texas-nps-grd-gri-lyjo-yeag-digita-d203c
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Service
    Area covered
    Yeager Creek, Austin, Texas
    Description

    The Digital Geologic-GIS Map of the Yeager Creek Quadrangle, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (yeag_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (yeag_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (lyjo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (lyjo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (yeag_geology_metadata_faq.pdf). Please read the lyjo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (yeag_geology_metadata.txt or yeag_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  20. f

    PERM cases by degree level

    • froghire.ai
    Updated Apr 6, 2025
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    FrogHire.ai (2025). PERM cases by degree level [Dataset]. https://www.froghire.ai/major/Remote%20Sensing%2FGis
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Remote Sensing/Gis. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Remote Sensing/Gis. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

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Welcome to the City of Corona GIS System (2020). Highest Education Completed is Bachelor's Degree [Dataset]. https://hub.arcgis.com/maps/cityofcorona::highest-education-completed-is-bachelors-degree/about

Highest Education Completed is Bachelor's Degree

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Dataset updated
May 19, 2020
Dataset authored and provided by
Welcome to the City of Corona GIS System
Area covered
Description

This webmap displays the percent of population 25 years and over whose highest education completed is bachelor's degree or higher. The webmap contains the following layers: City of Corona Limits, State Boundary, County Boundary and Tract Boundary.

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