99 datasets found
  1. a

    Alaska Borough and Census Area Boundaries

    • gis.data.alaska.gov
    • alaska-economic-data-dcced.hub.arcgis.com
    • +5more
    Updated Jan 7, 2020
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    Dept. of Commerce, Community, & Economic Development (2020). Alaska Borough and Census Area Boundaries [Dataset]. https://gis.data.alaska.gov/datasets/DCCED::alaska-borough-and-census-area-boundaries/api
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    Dataset updated
    Jan 7, 2020
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Alaska,
    Description

    Alaska borough and census area boundaries. Data is based on circa 2013 and earlier GIS Layers with periodic updates being performedSource: Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs ; US Census Bureau

    This data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: SOA DCCED DCRA Local Boundary Commission and US Census Bureau Cartographic Boundaries

  2. 2022 Cartographic Boundary File (KML), Current County Subdivision for...

    • catalog.data.gov
    • s.cnmilf.com
    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). 2022 Cartographic Boundary File (KML), Current County Subdivision for Alaska, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-kml-current-county-subdivision-for-alaska-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2022 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. 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, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  3. TIGER/Line Shapefile, 2022, State, Alaska, AK, Census Tract

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, State, Alaska, AK, Census Tract [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-alaska-ak-census-tract
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alaska
    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. 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, 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.

  4. a

    State of Alaska Tax Parcel Map

    • agc.dnr.alaska.gov
    Updated Mar 17, 2022
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    Alaska Geospatial Office (2022). State of Alaska Tax Parcel Map [Dataset]. https://agc.dnr.alaska.gov/maps/c92d7b54423f4dcbac4484985592d44f
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    Dataset updated
    Mar 17, 2022
    Dataset authored and provided by
    Alaska Geospatial Office
    Area covered
    Description

    State of Alaska tax parcel data by authoritative data source. This map is for use within the Alaska Geospatial Council Cadastre Technical Working Group's Hub site.

  5. a

    Copper River Inventory with Tables Public View

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    • +1more
    Updated Nov 15, 2021
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    Alaska Department of Natural Resources ArcGIS Online (2021). Copper River Inventory with Tables Public View [Dataset]. https://gis.data.alaska.gov/maps/ed42e871a8064044aa94c303e11778f3
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    Dataset updated
    Nov 15, 2021
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    Vegetation classified in the Copper River area by the State of Alaska, Department of Natural Resources, Division of Forestry, Fairbanks Area, from 2009 through 2010.

  6. u

    1:1,000,000-Scale State Boundaries of the United States

    • goa.nceas.ucsb.edu
    • search.dataone.org
    Updated Mar 5, 2014
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    The National Atlas of the United States of America, USGS (2014). 1:1,000,000-Scale State Boundaries of the United States [Dataset]. https://goa.nceas.ucsb.edu/view/df35d.430.2
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    Dataset updated
    Mar 5, 2014
    Dataset provided by
    Gulf of Alaska Data Portal
    Authors
    The National Atlas of the United States of America, USGS
    Time period covered
    Jan 1, 2012
    Area covered
    Description

    Abstract: This map layer portrays the State boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting county polygon features from the CENSUS 2006 TIGER/Line files produced by the U.S. Census Bureau. These files were then merged into a single file and county boundaries within States were removed.

    Purpose: These data are intended for geographic display and analysis at thenational level, and for large regional areas. The data should bedisplayed and analyzed at scales appropriate for 1:1,000,000-scale data. No responsibility is assumed by The National Atlas of the United States in the use of these data.

  7. n

    County Boundaries Census

    • nebraskamap.gov
    • map-nebraska.hub.arcgis.com
    Updated Jul 25, 2024
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    State of Nebraska (2024). County Boundaries Census [Dataset]. https://www.nebraskamap.gov/maps/county-boundaries-census
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    Dataset updated
    Jul 25, 2024
    Dataset authored and provided by
    State of Nebraska
    Area covered
    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.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, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  8. a

    Kenai Peninsula Borough – City Limits

    • catalog.epscor.alaska.edu
    Updated Dec 17, 2019
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    (2019). Kenai Peninsula Borough – City Limits [Dataset]. https://catalog.epscor.alaska.edu/dataset/kenai-peninsula-borough-city-limits
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    Dataset updated
    Dec 17, 2019
    Area covered
    Kenai Peninsula Borough
    Description

    Boundaries of all incorporated cities (Homer, Kachemak City, Kenai, Seldovia, Seward and Soldotna) within the Kenai Peninsula Borough. All city boundaries were digitized from legal descriptions certified by the State of Alaska Department of Community and Regional Affairs. Data available from the Kenai Peninsula Borough. For more information, please contact the Kenai Peninsula Borough GIS Department.

  9. d

    Geopolitical Units adjusted within Administrative Forest Boundaries: County...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +2more
    Updated May 8, 2025
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    U.S. Forest Service (2025). Geopolitical Units adjusted within Administrative Forest Boundaries: County FS revised 2020 Census (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/geopolitical-units-adjusted-within-administrative-forest-boundaries-county-fs-revised-2010-6243b
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    Dataset updated
    May 8, 2025
    Dataset provided by
    U.S. Forest Service
    Description

    This feature class includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration).

  10. g

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CITY AND BOROUGH OF SITKA,...

    • gimi9.com
    + more versions
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    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CITY AND BOROUGH OF SITKA, ALASKA, USA [Dataset]. https://gimi9.com/dataset/data-gov_digital-flood-insurance-rate-map-database-city-and-borough-of-sitka-alaska-usa1
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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
    Sitka, United States, Alaska
    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 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.

  11. United States Census County Subdivisions 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census County Subdivisions 2022 [Dataset]. https://koordinates.com/layer/110434-united-states-census-county-subdivisions-2022/
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    mapinfo mif, geodatabase, dwg, csv, shapefile, geopackage / sqlite, kml, mapinfo tab, pdfAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    County Subdivisions are the primary divisions of counties and equivalent entities. They include census county divisions, census subareas, minor civil divisions, and unorganized territories, and can be classified as either legal or statistical. Legal entities are termed minor civil divisions and statistical entities can be either census county divisions, census subareas, or unorganized territories.

    Minor Civil Divisions (MCDs) are the primary governmental or administrative divisions of a county in many states (parishes in Louisiana) and of the county equivalents in Puerto Rico and the Island Areas. MCDs in the United States, Puerto Rico, and the Island Areas represent many different kinds of legal entities with a wide variety of governmental and/or administrative functions. MCDs include areas variously designated as barrios, barrios-pueblo, boroughs, charter townships, commissioner districts, election districts, election precincts, gores, grants, locations, magisterial districts, parish governing authority districts, plantations, purchases, reservations, supervisor's districts, towns, and townships. The Census Bureau recognizes MCDs in 29 states, Puerto Rico, and the Island Areas. The District of Columbia has no primary divisions, and is considered equivalent to an MCD for statistical purposes.

    In some states, all or some incorporated places are not part of any MCD; these places are termed independent places. In nine states-Maine, Massachusetts, New Hampshire, New Jersey, North Dakota, Pennsylvania, Rhode Island, South Dakota, and Wisconsin-all incorporated places are independent places. In other states, incorporated places are part of, or dependent within, the MCDs in which they are located, or the pattern is mixed-some incorporated places are independent of MCDs and others are included within one or more MCDs.

    In New York and Maine, American Indian reservations (AIRs) generally exist outside the jurisdiction of any town (MCD) and thus also serve as the equivalent of MCDs for purposes of data presentation.

    In states with legal MCDs, the Census Bureau assigns a default FIPS county subdivision code of 00000 and ANSI code of eight zeroes in some coastal, territorial sea, and Great Lakes water where county subdivisions do not extend into the Great Lakes or out to the three-mile limit.

    Census County Divisions (CCDs) are areas delineated by the Census Bureau in cooperation with state, tribal, and local officials for statistical purposes. CCDs have no legal function and are not governmental units. CCD boundaries usually follow visible features and usually coincide with census tract boundaries. The name of each CCD is based on a place, county, or well-known local name that identifies its location.

    Census Subareas are statistical subdivisions of boroughs, city and boroughs, municipalities, and census areas, the statistical equivalent entities for counties in Alaska. The state of Alaska and the Census Bureau cooperatively delineate the census subareas to serve as the statistical equivalents of MCDs.

    Unorganized Territories (UTs) are defined by the Census Bureau in nine MCD states where portions of counties or equivalent entities are not included in any legally established MCD or incorporated place. The Census Bureau recognizes such separate pieces of territory as one or more separate county subdivisions for census purposes. It assigns each unorganized territory a descriptive name, followed by the designation "UT".

  12. a

    Borough Map, Imagery

    • gis.data.alaska.gov
    • geohub.kpb.us
    Updated Dec 15, 2021
    + more versions
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    Kenai Peninsula Borough (2021). Borough Map, Imagery [Dataset]. https://gis.data.alaska.gov/documents/dea0b9bcdbd54a5c966f89eea68299fa
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    Dataset updated
    Dec 15, 2021
    Dataset authored and provided by
    Kenai Peninsula Borough
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Kenai Peninsula Borough-wide map, imagery view. Letter size printable map, PDF format.

  13. Census of Population and Housing, 2000 [United States]: 1998 Dress...

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    United States. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin [Dataset]. http://doi.org/10.3886/ICPSR02913.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms

    Time period covered
    1998
    Area covered
    Columbia, South Carolina, Sacramento, Wisconsin, California, South Carolina, United States
    Description

    The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

  14. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, KENAI-COOK BOROUGH, ALASKA, USA

    • datasets.ai
    0
    Updated Nov 8, 2023
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    Federal Emergency Management Agency, Department of Homeland Security (2023). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, KENAI-COOK BOROUGH, ALASKA, USA [Dataset]. https://datasets.ai/datasets/digital-flood-insurance-rate-map-database-kenai-cook-borough-alaska-usa
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    0Available download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Authors
    Federal Emergency Management Agency, Department of Homeland Security
    Area covered
    Kenai, United States, Kenai Peninsula Borough, Alaska
    Description

    FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

  15. TIGER/Line Shapefile, Current, State, Alaska, Place

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Alaska, Place [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-alaska-place
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alaska
    Description

    This resource is a member of a series. 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) System (MTS). The MTS 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. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state but may extend across county and county subdivision boundaries. An incorporated place is usually a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs are often defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2024, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2024 BAS as well.

  16. b

    Counties

    • geodata.bts.gov
    • datasets.ai
    • +5more
    Updated Jul 1, 1995
    + more versions
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    U.S. Department of Transportation: ArcGIS Online (1995). Counties [Dataset]. https://geodata.bts.gov/datasets/usdot::counties/about
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    Dataset updated
    Jul 1, 1995
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Counties dataset was updated on October 31, 2023 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This resource is a member of a series. 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. 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 mostly as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  17. a

    School Districts and REAAs

    • gis.data.alaska.gov
    • alaska-economic-data-dcced.hub.arcgis.com
    • +7more
    Updated Apr 2, 2024
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    Dept. of Commerce, Community, & Economic Development (2024). School Districts and REAAs [Dataset]. https://gis.data.alaska.gov/datasets/DCCED::school-districts-and-reaas
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    Dataset updated
    Apr 2, 2024
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Alaska school district boundaries and addresses. Replacing former School District geometries (as of Nov 3, 2022). Each school district boundary (geometry, not attributes) is derived from one of three sources. 1. Borough and Census Area Boundaries (as a proxy for school districts in the organized borough). https://dcra-cdo-dcced.opendata.arcgis.com/datasets/DCCED::alaska-borough-and-census-area-boundaries/about2. Regional Educational Attendance Area Boundaries (school districts in the unorganized borough). A Regional Educational Attendance Area (REAA) is an educational area that is established in an unorganized borough of the state established by AS 14.08.031(a). REAA elections administered by the Division of Elections. This dataset is revised for recasting of REAA sections using 2020 Census data. The 2020 version is the first time REAA boundaries were fully created using Geographic Information System (GIS) technology. Revised for the 2022 move of the city of Rampart from Yukon Flats to Yukon-Koyukuk. 3. City Boundaries - Boundaries are based on the actual certificates issued by the Local Boundary Commission. https://dcra-cdo-dcced.opendata.arcgis.com/datasets/DCCED::city-boundaries/aboutFor more information, see https://education.alaska.gov/DOE_Rolodex/SchoolCalendar/DistrictAndSchoolInfo/DistrictDetails

  18. TIGER/Line Shapefile, Current, State, Alaska, 2020 Census Voting District...

    • catalog.data.gov
    Updated Aug 8, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, Current, State, Alaska, 2020 Census Voting District (VTD) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-state-alaska-2020-census-voting-district-vtd
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Alaska
    Description

    This resource is a member of a series. 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 adn 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. Voting district is the generic name for geographic entities such as precincts, wards, and election districts established by State governments for the purpose of conducting elections. States participating in the 2020 redistricting program as part of Public Law 94-171 (1975) provided the Census Bureau with boundaries, codes, and names for their VTDs. Voting districts do not exist for all states since some states did not participate in the program or chose not to submit boundaries for some of, or their entire, state. Each VTD is identified by a 1- to 6-character alphanumeric census code that is unique within county. The code "ZZZZZZ" identifies a portion of the county for which no VTDs were identified.

  19. a

    Borough Map, Hillshade

    • gis.data.alaska.gov
    • geohub.kpb.us
    Updated Dec 15, 2021
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    Kenai Peninsula Borough (2021). Borough Map, Hillshade [Dataset]. https://gis.data.alaska.gov/documents/db60d3db605849d4b9eee0210f868795
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    Dataset updated
    Dec 15, 2021
    Dataset authored and provided by
    Kenai Peninsula Borough
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Kenai Peninsula Borough-wide map, hillshade view. Letter size printable map, PDF format.

  20. a

    KPB Lots

    • gis.data.alaska.gov
    Updated Dec 30, 2021
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    Kenai Peninsula Borough (2021). KPB Lots [Dataset]. https://gis.data.alaska.gov/maps/43a777f2fa7a48dabf7895aab40645cc
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    Dataset updated
    Dec 30, 2021
    Dataset authored and provided by
    Kenai Peninsula Borough
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Lot lines delineate the boundary of a lot or lots within a tax parcel. Most lot lines were digitized from record information using bearing and distance (recorded subdivision plats and recorded deeds). Some were scanned from recorded plat mylars. Lot polygons delineate the boundary of a lot or lots within a tax parcel. Currently, these exist only for the City of Seward.

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Dept. of Commerce, Community, & Economic Development (2020). Alaska Borough and Census Area Boundaries [Dataset]. https://gis.data.alaska.gov/datasets/DCCED::alaska-borough-and-census-area-boundaries/api

Alaska Borough and Census Area Boundaries

Explore at:
Dataset updated
Jan 7, 2020
Dataset authored and provided by
Dept. of Commerce, Community, & Economic Development
Area covered
Alaska,
Description

Alaska borough and census area boundaries. Data is based on circa 2013 and earlier GIS Layers with periodic updates being performedSource: Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs ; US Census Bureau

This data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: SOA DCCED DCRA Local Boundary Commission and US Census Bureau Cartographic Boundaries

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