Borough Boundaries Map Based on Model Borough Study that was updated in 1997. Minor modifications to reflect the incorporation of Petersburg Borough and City and Borough of Wrangell.

Boundaries of boroughs (water areas included).

All previously released versions of this data are available at BYTES of the BIG APPLE - Archive.

Map of Baldwin Borough's political subdivision boundry

The USGS Governmental Unit Boundaries service from The National Map (TNM) represents major civil areas for the Nation, including States or Territories, counties (or equivalents), Federal and Native American areas, congressional districts, minor civil divisions, incorporated places (such as cities and towns), and unincorporated places. Boundaries data are useful for understanding the extent of jurisdictional or administrative areas for a wide range of applications, including mapping or managing resources, and responding to natural disasters. Boundaries data also include extents of forest, grassland, park, wilderness, wildlife, and other reserve areas useful for recreational activities, such as hiking and backpacking. Boundaries data are acquired from a variety of government sources. The data represents the source data with minimal editing or review by USGS. Please refer to the feature-level metadata for information on the data source. The National Map boundaries data is commonly combined with other data themes, such as elevation, hydrography, structures, and transportation, to produce general reference base maps. The National Map viewer allows free downloads of public domain boundaries data in either Esri File Geodatabase or Shapefile formats. For additional information on the boundaries data model, go to http://nationalmap.gov/boundaries.html.

This dataset is a polygon of the UK with the Camden borough boundary removed - this is usually used in map visualisations to identify the borough boundary.

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

MSBSD Middle School boundaries and their related schools. The boundary data was provided by MSBSD and the school locations come from the MSB public facilities dataset.

Index map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages.

PennDOT - Pennsylvania Municipality boundaries Geospatial_Data_Presentation_Form:vector digital data Publication_Information: Publication_Place:Harrisburg, PA Publisher:Pennsylvania Department of Transportation Online_Linkage: http://www.pasda.psu.edu Originator:Pennsylvania Department of Transportation, Bureau of Planning and Research, Cartographic Information Division Publication_Date:202106

Abstract: Boundaries of municipalities within Pennsylvania as delineated for the PennDOT Type 10 general highway maps. Additional information comes from the Pennsylvania Bureau of Municipal Services. This layer contains all classifications of municipality including first and second class townships, boroughs, cities and the town. The shape file reflects a name change from Osborne borough to Glen Osborne borough in Allegheny county and a name change from Abington Township to Waverly Township in Lackawanna county. The shape file also reflects various municipal boundary line tweaks that have occurred since the 2011_01 update. Purpose: Public information and support for transportation planning, design and development. Supplemental_Information: This data is intended for use at 1:24,000 or smaller scale. This layer supercedes and replaces previous versions of padot-borough, padot-city-town, and padot-township.

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Corporate boundaries of the three cities located within the Mat-Su Borough (Houston, Palmer, and Wasilla).

This data contains the corporate boundary of the Matanuska-Susitna Borough. It is based upon the official legal description of the Borough which makes references to the Public Land Survey System, Latitude/Longitude Coordinates, and adjoining boundaries of the original Mount McKinley National Park as defined on U.S. Survey 2177. The data provides Borough staff, other agencies, and the general public with a clearly defined boundary that is consistent with other data (i.e. section line data). It is meant to be an improvement upon previous boundaries that were made available as part of the TIGER/line program of the U.S. Census Bureau.

The borough boundaries of New York City including portions under water.

The 2023 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 cartographic boundary files 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 usually is 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 often are 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 generalized boundaries of most incorporated places in this file are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Map layer featuring GB Authority Boundaries. Created in February 2020 and data sourced from the ONS. UPDATED February 2020: Corrected misalignment to boundary line

The Kenai Peninsula Borough Boundary depicts the official jurisdictional boundary, according to the "Certification of Boundaries Kenai Peninsula Borough" executed by the Commissioner of the Department of Community and Regional Affairs of the State of Alaska, signed May 7, 1979.

The canton is a territorial subdivision of the borough. It is the electoral district within which a general councillor is elected.The cantons were created, like the departments, by the Act of 22 December 1789. In most cases, the cantons comprise several municipalities. But the cantons do not always respect the municipal boundaries: the most populated municipalities belong to several cantons. A township belongs to one and a single borough.A layer different from that of the pseudo-cantons of the BD Carto layer #58 N_CANTON_BDC_ddd) because the latter contains the canton of attachment of the municipalities (finer definition to be provided)

Borough Boundary

Government Office (GO) Regions in Shape format derived from OS Boundary-Line data. The Regions were created from Digimap datasets downloaded from Boundary Download of 'County' Boundaries and the 'District Borough Unitary Authority' boundaries'. These were loaded into ArcMap as Shape files and using the map at http://www.gos.gov.uk/common/docs/239408/442543 (which is accessed from http://www.gos.gov.uk/aboutusnat/) as the guide the Regions were identified and merged together from individual Counties, Unitary Authorites and Metropoliatain Districts. The Revision Date of the OS Boundary-Line data is April 2008. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-07-20 and migrated to Edinburgh DataShare on 2017-02-21.

The canton within the meaning of INSEE is an administrative subdivision of a department. The canton is a territorial subdivision of the borough.It is the electoral district in which a general councillor is elected. The cantons, like the departments, were created by the law of 22 December 1789. In most cases, the cantons comprise several municipalities.But the cantons do not always respect the municipal boundaries: the most populated municipalities belong to several cantons. A township belongs to one and only one arrondissement. Layer different from that of the pseudo-cantons of the Carto comic book: layer (#0058) N_CANTON_BDC_ddd because the latter contains the canton of attachment of the municipalities.

PDF Map of FCC Form 477 provider reported maximum download speeds by census block for January - June 2020. This map seeks to highlight areas that are undeserved by terrestrial broadband (fiber/cable/dsl on the ground), with "underserved" defined as down/up speeds less than 25/3 Mbps.These data represent a static snapshot of provider reported coverage between January 2020 and June 2020. Maps also depict the locations of federally recognized tribes, Alaskan communities, ANCSA and borough boundaries.Broadband coverage is represented using provider reported speeds under the FCC Form 477 the amalgamated broadband speed measurement category based on Form 477 "All Terrestrial Broadband" as a proxy for coverage. This field is unique to the NBAM platform. These maps do not include satellite internet coverage (and may not include microwave coverage through the TERRA network for all connected areas).This map was produced by DCRA using data provided by NTIA through the NBAM platform as part of a joint data sharing agreement undertaken in the year 2021. Maps were produced using the feature layer "NBAM Data by Census Geography v4": https://maps.ntia.gov/arcgis/home/item.html?id=8068e420210542ba8d2b02c1c971fb20Coverage is symbolized using the following legend:No data avalible or no terrestrial coverage: Grey or transparent< 10 Mbps Maximum Reported Download: Red10-25 Mbps Maximum Reported Download: Orange25-50 Mbps Maximum Reported Download: Yellow50-100 Mbps Maximum Reported Download: Light Blue100-1000 Mbps Maximum Reported Download: Dark Blue_Description from layer "NBAM Data by Census Geography v4":This layer is a composite of seven sublayers with adjacent scale ranges: States, Counties, Census Tracts, Census Block Groups, Census Blocks, 100m Hexbins and 500m Hexbins. Each type of geometry contains demographic and internet usage data taken from the following sources: US Census Bureau 2010 Census data (2010) USDA Non-Rural Areas (2013) FCC Form 477 Fixed Broadband Deployment Data (Jan - Jun 2020) Ookla Consumer-Initiated Fixed Wi-Fi Speed Test Results (Jan - Jun 2020) FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data. BroadbandNow Average Minimum Terrestrial Broadband Plan Prices (2020) M-Lab (Jan - Jun 2020)Some data values are unique to the NBAM platform: US Census and USDA Rurality values. For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S. Amalgamated broadband speed measurement categories based on Form 477. These include: 99: All Terrestrial Broadband Plus Satellite 98: All Terrestrial Broadband 97: Cable Modem 96: DSL 95: All Other (Electric Power Line, Other Copper Wireline, Other) Computed differences between FCC Form 477 and Ookla values for each area. These are reflected by six fields containing the difference of maximum, median, and minimum upload and download speed values.The FCC Speed Values method is applied to all speeds from all data sources within the custom-configured Omnibus service pop-up. This includes: Geography: State, County, Tract, Block Group, Block, Hex Bins geographies Data source: all data within the Omnibus, i.e. FCC, Ookla, M-Lab Representation: comparison tables and single speed values