64 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. o

    Oregon State Boundary

    • geohub.oregon.gov
    • data.oregon.gov
    • +1more
    Updated Jun 6, 2023
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    State of Oregon (2023). Oregon State Boundary [Dataset]. https://geohub.oregon.gov/datasets/oregon-state-boundary/about
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    Dataset updated
    Jun 6, 2023
    Dataset authored and provided by
    State of Oregon
    Area covered
    Oregon,
    Description

    This theme shows the jurisdictional and cartographic state perimeters for Oregon in the Oregon Lambert Projection.

  3. o

    Zoning

    • geohub.oregon.gov
    • data.oregon.gov
    • +3more
    Updated Jul 19, 2023
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    Zoning [Dataset]. https://geohub.oregon.gov/datasets/oregon-geo::zoning
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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.

  4. 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.

  5. W

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, COOS COUNTY, OREGON, USA

    • cloud.csiss.gmu.edu
    • gimi9.com
    • +5more
    Updated Mar 8, 2021
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    United States (2021). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, COOS COUNTY, OREGON, USA [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/digital-flood-insurance-rate-map-database-coos-county-oregon-usa
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    Dataset updated
    Mar 8, 2021
    Dataset provided by
    United States
    Area covered
    Coos County, Oregon, United States
    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.

  6. 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

  7. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, COOS COUNTY, OREGON, USA

    • datasets.ai
    • gimi9.com
    • +1more
    0
    Updated Sep 11, 2024
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    Federal Emergency Management Agency, Department of Homeland Security (2024). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, COOS COUNTY, OREGON, USA [Dataset]. https://datasets.ai/datasets/digital-flood-insurance-rate-map-database-coos-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
    Coos 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 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).

  8. 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
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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
    Washington County, Southwest Scoggins Valley Road, 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.

  9. 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.

  10. d

    2015 Cartographic Boundary File, Urban Area-State-County for Oregon,...

    • catalog.data.gov
    Updated Jan 13, 2021
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    (2021). 2015 Cartographic Boundary File, Urban Area-State-County for Oregon, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2015-cartographic-boundary-file-urban-area-state-county-for-oregon-1-5000001
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    Dataset updated
    Jan 13, 2021
    Area covered
    Oregon
    Description

    The 2015 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. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2010.

  11. 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.

  12. W

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, AUTAUGA COUNTY, AL

    • cloud.csiss.gmu.edu
    • datasets.ai
    • +4more
    Updated Mar 7, 2021
    + more versions
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    United States (2021). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, AUTAUGA COUNTY, AL [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/digital-flood-insurance-rate-map-database-autauga-county-al
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    Dataset updated
    Mar 7, 2021
    Dataset provided by
    United States
    Area covered
    Alabama, Autauga County
    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 1:12,000.

  13. 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.

  14. o

    Urban Growth Boundaries

    • geohub.oregon.gov
    • data.oregon.gov
    • +1more
    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.

  15. j

    House Districts Map

    • gis.jacksoncountyor.gov
    • gis.jacksoncounty.org
    • +1more
    Updated Sep 1, 2015
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    Jackson County GIS (2015). House Districts Map [Dataset]. https://gis.jacksoncountyor.gov/documents/1ddeb3dc624944dc884cf15b4493420a
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    Dataset updated
    Sep 1, 2015
    Dataset authored and provided by
    Jackson County GIS
    Description

    This map shows the State House Districts in Jackson County. The map document is 34 inches by 44 inches.

  16. d

    2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and...

    • catalog.data.gov
    Updated Jan 15, 2021
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    (2021). 2019 Cartographic Boundary KML, 2010 Urban Areas (UA) within 2010 County and Equivalent for Oregon, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2019-cartographic-boundary-kml-2010-urban-areas-ua-within-2010-county-and-equivalent-for-oregon
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    Dataset updated
    Jan 15, 2021
    Description

    The 2019 cartographic boundary KMLs 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. The records in this file allow users to map the parts of Urban Areas that overlap a particular county. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the ""urban footprint."" There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The generalized boundaries for counties and equivalent entities are as of January 1, 2010.

  17. a

    City Limits (2009)

    • hub.arcgis.com
    Updated Oct 22, 2015
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    Oregon ArcGIS Online (2015). City Limits (2009) [Dataset]. https://hub.arcgis.com/datasets/712341ca52d147ba9fbb2229ae18adb4
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    Dataset updated
    Oct 22, 2015
    Dataset authored and provided by
    Oregon ArcGIS Online
    Area covered
    Description

    This map represents the Oregon City Limit boundaries. Each city limit is defined as a continuous area within the statutory boundary of an incorporated city, which is the smallest subdivision of an annexed area, as of 2009.

    An incorporated city may have multiple areas that are not contiguous. Each such area is represented separately with its own polygon (boundary on map).

    Metadata https://spatialdata.oregonexplorer.info/geoportal/details;id=fc688695127e4cb9b59d800657b2d600 Download http://navigator.state.or.us/sdl/data/shapefile/k24/citylim_2009.zip

  18. QuickFacts: Coos County, Oregon

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Coos County, Oregon [Dataset]. https://www.census.gov/quickfacts/fact/map/cooscountyoregon/RHI225222
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Coos County, Oregon
    Description

    U.S. Census Bureau QuickFacts statistics for Coos County, Oregon. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  19. 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.

  20. QuickFacts: Crook County, Oregon

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Crook County, Oregon [Dataset]. https://www.census.gov/quickfacts/fact/map/crookcountyoregon/AGE775222
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Crook County, Oregon
    Description

    U.S. Census Bureau QuickFacts statistics for Crook County, Oregon. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

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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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