Urbanized Areas: United States and Territories, 2013

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Abstract/Contents

Abstract
This polygon shapefile contains areas of urban land extracted from the United States Census Bureau's 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. 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 United States 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. This layer is part of the 2014 National Transportation Atlas Database.
Purpose
The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. This data was sourced from the information contained in the Census Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. The content of the MAF/TIGER database is undergoing continuous census data updates and is made available to the public through a variety of TIGER/Line® shapefiles.

Description

Type of resource cartographic, software, multimedia
Form Shapefile
Extent 72.284
Place Washington, D.C., US
Publisher United States. Bureau of Transportation Statistics
Date valid 2013
Publication date 2014
Edition boc_uza v. 6
Language English
Digital origin born digital
Map data Scale not given. ; W 158°13ʹ53ʺ--W 65°37ʹ14ʺ/N 64°55ʹ15ʺ--N 17°55ʹ46ʺ, Scale not given ; EPSG::4326

Creators/Contributors

Creator United States. Bureau of Transportation Statistics
Creator United States. Bureau of the Census. Geography Division

Subjects

Subject Census
Subject Population density
Subject Metropolitan areas
Subject Cities and towns
Subject Land use, Urban
Subject United States
Subject Washington (D.C.)
Subject United States Virgin Islands
Subject Puerto Rico
Subject American Samoa
Subject Northern Mariana Islands
Subject Guam
Subject 2013
Subject Boundaries
Subject Society
Genre Geospatial data
Genre Cartographic dataset

Bibliographic information

Location https://purl.stanford.edu/vt734jy6725

Access conditions

Use and reproduction
This item is in the public domain. There are no restrictions on use.
Copyright
This work is in the Public Domain, meaning that it is not subject to copyright.

Preferred citation

United States. Department of Transportation. Research and Innovative Technology Administration. (2014). Urbanized Areas: United States and Territories, 2013. National Transportation Atlas Database 2014. Available at: http://purl.stanford.edu/vt734jy6725.

Collection

National transportation atlas databases : NTAD

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