42 datasets found
  1. d

    TIGER/Line Shapefile, 2019, state, Oregon, Current County Subdivision...

    • catalog.data.gov
    Updated Oct 12, 2021
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    (2021). TIGER/Line Shapefile, 2019, state, Oregon, Current County Subdivision State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-oregon-current-county-subdivision-state-based
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    Dataset updated
    Oct 12, 2021
    Area covered
    Oregon
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

  2. 2020 Cartographic Boundary File (SHP), Current County Subdivision for...

    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current County Subdivision for Oregon, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-county-subdivision-for-oregon-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The generalized boundaries of legal MCDs are based on those as of January 1, 2020 as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  3. a

    OR Counties Shapefile

    • usfs.hub.arcgis.com
    Updated Apr 4, 2023
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    U.S. Forest Service (2023). OR Counties Shapefile [Dataset]. https://usfs.hub.arcgis.com/maps/usfs::or-counties-shapefile
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    Dataset updated
    Apr 4, 2023
    Dataset authored and provided by
    U.S. Forest Service
    Area covered
    Description

    This theme is a graphic depiction of the legal jurisdictional county perimeters for the State of Oregon.

  4. o

    County Lines

    • geohub.oregon.gov
    • catalog.data.gov
    • +2more
    Updated Jul 7, 2023
    + more versions
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    State of Oregon (2023). County Lines [Dataset]. https://geohub.oregon.gov/datasets/county-lines
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    COB_ARC: This theme shows line representation of the jurisdictional and cartographic county perimeters for Oregon and Washington.

  5. o

    Zoning

    • geohub.oregon.gov
    • data.oregon.gov
    • +3more
    Updated Jul 19, 2023
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    State of Oregon (2023). Zoning [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::zoning/about
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    Dataset updated
    Jul 19, 2023
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This Zoning feature class is an element of the Oregon GIS Framework statewide, Zoning spatial data. This version is authorized for public use. Attributes include zoning districts that have been generalized to state classes. As of June 30, 2023, this feature class contains zoning data from 229 local jurisdictions. DLCD plans to continue adding to and updating this statewide zoning dataset as they receive zoning information from the local jurisdictions. Jurisdictions included in the latest version of the statewide zoning geodatabase:

    Cities: Adams, Adrian, Albany, Amity, Antelope, Ashland, Astoria, Athena, Aurora, Banks, Barlow, Bay City, Beaverton, Bend, Boardman, Bonanza, Brookings, Brownsville, Burns, Butte Falls, Canby, Cannon Beach, Carlton, Cascade Locks, Cave Junction, Central Point, Chiloquin, Coburg, Columbia City, Coos Bay, Cornelius, Corvallis, Cottage Grove, Creswell, Culver, Dayton, Detroit, Donald, Drain, Dufur, Dundee, Dunes City, Durham, Eagle Point, Echo, Enterprise, Estacada, Eugene, Fairview, Falls City, Florence, Forest Grove, Fossil, Garibaldi, Gaston, Gates, Gearhart, Gervais, Gladstone, Gold Beach, Gold Hill, Grants Pass, Grass Valley, Gresham, Halsey, Happy Valley, Harrisburg, Helix, Hermiston, Hillsboro, Hines, Hood River, Hubbard, Idanha, Independence, Jacksonville, Jefferson, Johnson City, Jordan Valley, Junction City, Keizer, King City, Klamath Falls, La Grande, La Pine, Lafayette, Lake Oswego, Lebanon, Lincoln City, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Maywood Park, McMinnville, Medford, Merrill, Metolius, Mill City, Millersburg, Milton-Freewater, Milwaukie, Mitchell, Molalla, Monmouth, Moro, Mosier, Mount Angel, Myrtle Creek, Myrtle Point, Nehalem, Newberg, Newport, North Bend, North Plains, Nyssa, Oakridge, Ontario, Oregon City, Pendleton, Philomath, Phoenix, Pilot Rock, Port Orford, Portland, Prescott, Prineville, Rainier, Redmond, Reedsport, Rivergrove, Rockaway Beach, Rogue River, Roseburg, Rufus, Saint Helens, Salem, Sandy, Scappoose, Scio, Scotts Mills, Seaside, Shady Cove, Shaniko, Sheridan, Sherwood, Silverton, Sisters, Sodaville, Spray, Springfield, Stanfield, Stayton, Sublimity, Sutherlin, Sweet Home, Talent, Tangent, The Dalles, Tigard, Tillamook, Toledo, Troutdale, Tualatin, Turner, Ukiah, Umatilla, Vale, Veneta, Vernonia, Warrenton, Wasco, Waterloo, West Linn, Westfir, Weston, Wheeler, Willamina, Wilsonville, Winston, Wood Village, Woodburn, Yamhill.

    Counties: Baker County, Benton County, Clackamas County, Clatsop County, Columbia County, Coos County, Crook County, Curry County, Deschutes County, Douglas County, Harney County, Hood River County, Jackson County, Jefferson County, Josephine County, Klamath County, Lane County, Lincoln County, Linn County, Malheur County, Marion County, Multnomah County, Polk County, Sherman County, Tillamook County, Umatilla County, Union County, Wasco County, Washington County, Wheeler County, Yamhill County.

    R emaining jurisdictions either chose not to share data to incorporate into the public, statewide dataset or did not respond to DLCD’s request for data. These jurisdictions’ attributes are designated “not shared” in the orZDesc field and “NS” in the orZCode field.

  6. o

    Oregon Counties (2015)

    • hub.oregonexplorer.info
    Updated Jan 1, 2015
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    Oregon State University GISci (2015). Oregon Counties (2015) [Dataset]. https://hub.oregonexplorer.info/maps/OSUGISci::oregon-counties-2015
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    Dataset updated
    Jan 1, 2015
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    This theme shows line and polygon representation of the jurisdictional and cartographic county perimeters for Oregon. (BLM, 2015)

  7. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Linn County, Oregon, USA

    • datasets.ai
    • cloud.csiss.gmu.edu
    • +4more
    0
    Updated Sep 11, 2024
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    Federal Emergency Management Agency, Department of Homeland Security (2024). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Linn County, Oregon, USA [Dataset]. https://datasets.ai/datasets/digital-flood-insurance-rate-map-database-linn-county-oregon-usa
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    0Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    Authors
    Federal Emergency Management Agency, Department of Homeland Security
    Area covered
    Linn County, United States, Oregon
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  8. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CLACKAMAS COUNTY, OREGON (AND...

    • datasets.ai
    • cloud.csiss.gmu.edu
    • +3more
    0
    Updated Sep 8, 2024
    + more versions
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    Federal Emergency Management Agency, Department of Homeland Security (2024). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CLACKAMAS COUNTY, OREGON (AND INCORPORATED AREAS) [Dataset]. https://datasets.ai/datasets/digital-flood-insurance-rate-map-database-clackamas-county-oregon-and-incorporated-areas
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    0Available download formats
    Dataset updated
    Sep 8, 2024
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    Authors
    Federal Emergency Management Agency, Department of Homeland Security
    Area covered
    Clackamas County, Oregon
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

  9. a

    City and County Comprehensive Plan Designations

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.oregon.gov
    • +4more
    Updated May 31, 2019
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    State of Oregon (2019). City and County Comprehensive Plan Designations [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/76882e24c07b41949bfdd5a6a0e60b81
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    Dataset updated
    May 31, 2019
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    The data was collected from local jurisdictions in the state and then assembled into a single dataset. The attributes were generalized to a set of comp plan codes that could be applied to data from all jurisdictions. The list of state comp plan codes and their descriptions can be found in this metadata. Please contact the local jurisdictions for the more detailed (not generalized) data. As of May 31, 2019 this feature class contains comprehensive plan data from 189 local jurisdictions. DLCD plans to continue adding to and updating this statewide comp plan dataset as they receive information from the local jurisdictions. New releases of this data by DLCD are planned for publication every 2 years. Note: This data layer has gaps in the data and is not complete for the entire state of Oregon. Participating cities and counties are listed below. City data included:Adams, Adrian, Albany, Amity, Arlington, Ashland, Athena, Aumsville, Aurora, Baker City, Bandon, Bay City, Bend, Burns, Canby, Cannon Beach, Canyonville, Carlton, Cave Junction, Central Point, Clatskanie, Coburg, Columbia City, Condon, Coos Bay, Corvallis, Cottage Grove, Creswell, Culver, Dallas, Depoe Bay, Detroit, Donald, Dufur, Dundee, Dunes City, Eagle Point, Enterprise, Eugene, Falls City, Florence, Garibaldi, Gaston, Gates, Gearhart, Gervais, Glendale, Gold Hill, Grants Pass, Grass Valley, Haines, Harrisburg, Hermiston, Hines, Hubbard, Huntington, Idanha, Independence, Jacksonville, Jefferson, Jordan Valley, Joseph, Junction City, Keizer, La Pine, Lafayette, Lakeview, Lebanon, Lincoln City, Lostine, Lowell, Lyons, Madras, Malin, Manzanita, Maupin, Medford, Metolius, Mill City, Millersburg, Milton-Freewater, Monmouth, Mosier, Mt. Angel, Myrtle Creek, Nehalem, Newberg, Newport, North Bend, Nyssa, Oakridge, Ontario, Paisley, Philomath, Phoenix, Prineville, Redmond, Richland, Riddle, Rockaway Beach, Rogue River, Roseburg, Salem, Scappoose, Scio, Scotts Mills, Seaside, Seneca, Shady Cove, Shaniko, Sheridan, Silverton, Sisters, Sodaville, St. Helens, St. Paul, Stanfield, Stayton, Sublimity, Sweet Home, Talent, Tangent, The Dalles, Tillamook, Turner, Umatilla, Vale, Veneta, Vernonia, Wallowa, Westfir, Wheeler, Willamina, Woodburn and all the cities in Metro.County data included:Baker, Benton, Clackamas, Clatsop, Columbia, Coos, Crook, Deschutes, Douglas, Grant, Harney, Hood River, Jackson, Jefferson, Josephine, Klamath, Lake, Lane, Linn, Malheur, Marion, Multnomah, Polk, Tillamook, Umatilla, Wallowa, Wasco, Washington and Yamhill

  10. d

    ORMAP The Oregon Property Tax Map

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Jun 29, 2025
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    data.oregon.gov (2025). ORMAP The Oregon Property Tax Map [Dataset]. https://catalog.data.gov/dataset/ormap-the-oregon-property-tax-map
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.oregon.gov
    Area covered
    Oregon
    Description

    To access the tax lot layer you will need to contact the county Assessor's office. ORMAP is a statewide digital cadastral base map that is publicly accessible, continually maintained, supports the Oregon property tax system, supports a multi-purpose land information system, strives to comply with appropriate state and national standards, and will continue to be improved over time.

  11. j

    Contours 2ft - Butte

    • gis.jacksoncountyor.gov
    • gis-jcgis.opendata.arcgis.com
    Updated Dec 18, 2019
    + more versions
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    Jackson County GIS (2019). Contours 2ft - Butte [Dataset]. https://gis.jacksoncountyor.gov/datasets/9c7b8a8c45d14ea7a4d378829233a376
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    Dataset updated
    Dec 18, 2019
    Dataset authored and provided by
    Jackson County GIS
    Description

    Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  12. j

    Urban Growth Boundary

    • gis.jacksoncountyor.gov
    • gis.jacksoncounty.org
    • +1more
    Updated Sep 9, 2015
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    Jackson County GIS (2015). Urban Growth Boundary [Dataset]. https://gis.jacksoncountyor.gov/datasets/JCGIS::urban-growth-boundary/about
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    Dataset updated
    Sep 9, 2015
    Dataset authored and provided by
    Jackson County GIS
    Area covered
    Description

    This theme delineates Urban Growth Boundaries (UGBs) in the state of Oregon. Oregon land use laws limit development outside of urban growth boundaries. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO).

  13. W

    Floodplain Mapping Submission for Douglas County, Oregon

    • cloud.csiss.gmu.edu
    • datadiscoverystudio.org
    • +2more
    Updated Mar 5, 2021
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    United States (2021). Floodplain Mapping Submission for Douglas County, Oregon [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/floodplain-mapping-submission-for-douglas-county-oregon1
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    Dataset updated
    Mar 5, 2021
    Dataset provided by
    United States
    Area covered
    Douglas County, Oregon
    Description

    The Floodplain Mapping study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent annual chance flood event, the 0.2-percent annual chance flood event, and areas of minimal flood risk. The Floodplain Mapping flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

  14. d

    Digital data for the geologic map of Scoggins Dam, Henry Hagg Lake, and...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 20, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital data for the geologic map of Scoggins Dam, Henry Hagg Lake, and Scoggins Valley, Washington County, Oregon [Dataset]. https://catalog.data.gov/dataset/digital-data-for-the-geologic-map-of-scoggins-dam-henry-hagg-lake-and-scoggins-valley-wash
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    Dataset updated
    Jul 20, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Southwest Scoggins Valley Road, Washington County, Henry Hagg Lake Loop Trail, Oregon
    Description

    Scoggins Dam in northwest Oregon lies within the Gales Creek fault zone (GCF), a northwest-striking system of active faults forming the boundary between the Coast Range and the Tualatin Valley about 25 km east of Portland, Oregon. Geologic mapping published in 2020 shows the dam to lie within a block-faulted releasing stepover between the right-lateral, NW-striking Scoggins Creek and Parsons Creek strands of the GCF. The Scoggins Creek strand is presently mapped beneath the existing dam about 200 m north of the south abutment. Preliminary results from paleoseismic trenching by the U.S. Bureau of Reclamation, Portland State University, and the U.S. Geological Survey indicate that these two major fault strands have had multiple surface rupturing earthquakes in the Holocene. To confirm the accuracy of the 2020 geologic map and the geometry of the GCF in the releasing stepover region, we completed additional geologic mapping of the dam, reservoir, and an alternative dam site downstream between July 2018 and May 2020. Using high-resolution lidar topographic data and satellite imagery on handheld digital tablets, we collected data at ~500 field sites in the heavily forested terrain. We used these detailed field observations to locate and digitally map the main Scoggins Creek and Parsons Creek fault strands, as well as the cross faults linking the two main strands, to produce an improved and more detailed geologic map and cross sections of Scoggins Valley and its existing and proposed dam sites.

  15. a

    Contours 2ft - Rogue River

    • gis-jcgis.opendata.arcgis.com
    • gis.jacksoncountyor.gov
    • +1more
    Updated Dec 18, 2019
    + more versions
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    Jackson County GIS (2019). Contours 2ft - Rogue River [Dataset]. https://gis-jcgis.opendata.arcgis.com/datasets/e674de2d16c14e6cb9129fab22af109d
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    Dataset updated
    Dec 18, 2019
    Dataset authored and provided by
    Jackson County GIS
    Description

    Rogue River 2ft Contours Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  16. K

    Oregon Geographic Place Names

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Mar 11, 2009
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    State of Oregon (2009). Oregon Geographic Place Names [Dataset]. https://koordinates.com/layer/869-oregon-geographic-place-names/
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    kml, shapefile, geopackage / sqlite, mapinfo mif, dwg, mapinfo tab, geodatabase, csv, pdfAvailable download formats
    Dataset updated
    Mar 11, 2009
    Dataset authored and provided by
    State of Oregon
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    Description

    The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.

    The original source for these data is Geonames, the ORGNIS dataset contains only features located in Oregon. Minimal processing of data downloaded from the GNIS repository was performed by the Oregon Geospatial Enterprise Office, these changes are documented in the last process step in the metadata.

    Purpose

    The Geographic Names Information System contains information about physical and cultural geographic features of all types in the United States, associated areas, and Antarctica, current and historical, but not including roads and highways. The database holds the Federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature designations, feature classification, historical and descriptive information, and for some categories the geometric boundaries. The database assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. The GNIS collects data from a broad program of partnerships with Federal, State, and local government agencies and other authorized contributors. The GNIS provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map and feature services, file download services, and customized files upon request.

  17. g

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, YAMHILL COUNTY, OREGON |...

    • gimi9.com
    + more versions
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    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, YAMHILL COUNTY, OREGON | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_digital-flood-insurance-rate-map-database-yamhill-county-oregon/
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    License

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

    Area covered
    Yamhill County, Oregon
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

  18. o

    2020 Census Tracts

    • geohub.oregon.gov
    • data.oregon.gov
    • +2more
    Updated Jul 1, 2020
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    State of Oregon (2020). 2020 Census Tracts [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::2020-census-tracts
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    Dataset updated
    Jul 1, 2020
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This data layer is an element of the Oregon GIS Framework. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

    Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

  19. County Polygon

    • nifc.hub.arcgis.com
    Updated Jul 11, 2019
    + more versions
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    National Interagency Fire Center (2019). County Polygon [Dataset]. https://nifc.hub.arcgis.com/maps/county-polygon
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    Dataset updated
    Jul 11, 2019
    Dataset authored and provided by
    National Interagency Fire Centerhttps://www.nifc.gov/
    Area covered
    Description

    Oregon Ownership and Admin Boundaries managed by Oregon Department of Forestry (2021).This includes Public Ownership, Counties, ODF Forest Protection Districts, and ODF Units, for the entire State of Oregon. This is only an export of the master data and is not updated on a regular schedule. Please see the source data to ensure accuracy and ensure it is up to date. Last updated on 7/11/2021, BRM..Useful Links:www.oregon.gov/odfhttps://www.oregon.gov/ODF/AboutODF/Pages/MapsData

  20. o

    Urban Growth Boundaries

    • geohub.oregon.gov
    • data.oregon.gov
    • +2more
    Updated Dec 31, 2022
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    State of Oregon (2022). Urban Growth Boundaries [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::urban-growth-boundaries/about
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    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    State of Oregon
    Area covered
    Description

    This data layer is an element of the Oregon GIS Framework. This theme delineates urban growth boundaries (UGBs) in the state of Oregon. The line work was created by various sources including the Oregon Department of Land Conservation and Development (DLCD), the Oregon Department of Transportation (ODOT), Metro Regional Council of Governments (Metro), county and city GIS departments, and the Oregon Department of Administrative Services - Geospatial Enterprise Office (DAS-GEO). UGB areas consist of unincorporated lands surrounding a city that show where the city plans to grow over the next 20 years. When a city needs to develop more residential, commercial, industrial, or public land, it annexes the needed area from its UGB. If a city runs out of needed land within the UGB, it can expand its UGB. Original UGBs were established under the Oregon Statewide Planning Goals in 1973 by the Oregon State Legislature (Senate Bill 100). Goal 14 of the statewide planning program is, "To provide for an orderly and efficient transition from rural to urban land use, to accommodate urban population and urban employment inside urban growth boundaries, to ensure efficient use of land, and to provide for livable communities." The process and requirements for designating and amending UGBs are in Oregon Administrative Rules, Chapter 660, Division 24 (OAR 660-024). Designating or amending a UGB requires a public process, as required by Planning Goal 1, followed by approval by both the city and county elected officials and acknowledgement by the DLCD. This process includes the city submitting a Post Acknowledgement Plan Amendment (PAPA) to DLCD to review for consistency with Goal 14. The PAPA submittal includes GIS files that delineate the changes to the UGB. DLCD aggregates the local GIS layers into the statewide UGB layer. UGB line work and attributes are verified with the city PAPA submittals entered in DLCD’s tabular database to ensure that all UGB updates reported to DLCD have been included in this dataset. UGBs that are currently in the appeal process at the time of publication of this layer are not included. The effDate attribute indicates the year in which the UGB amendment was acknowledged by DLCD. In 2022, DLCD acknowledged amendments to the following UGBs: Central Point, Dayton, Phoenix, and Turner. Corrections were also made to the Astoria and Condon UGBs to reflect the current acknowledged boundary.

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(2021). TIGER/Line Shapefile, 2019, state, Oregon, Current County Subdivision State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-oregon-current-county-subdivision-state-based

TIGER/Line Shapefile, 2019, state, Oregon, Current County Subdivision State-based

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Dataset updated
Oct 12, 2021
Area covered
Oregon
Description

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

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