TIGER/Line Shapefile, 2019, Series Information for the Address Ranges County-based Relationship File

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 Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range.  Each address range applies
            to a single edge and has a unique address range identifier (ARID) value.  The edge to which an address range applies can be
            determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge
            identifier (TLID) attribute.  Multiple address ranges can apply to the same edge since an edge can have multiple address
            ranges.  Note that the most inclusive address range associated with each side of a street edge already appears in the All
            Lines Shapefile (EDGES.shp).  The TIGER/Line Files contain potential address ranges, not individual addresses.  The term
            "address range" refers to the collection of all possible structure numbers from the first structure number to the last
            structure number and all numbers of a specified parity in between along an edge side relative to the direction in which
            the edge is coded.  The address ranges in the TIGER/Line Files are potential ranges that include the full range of
            possible structure numbers even though the actual structures may not exist.

Resources

Name Format Description Link
XML File XML tl_2019_addr.ea.iso.xml Open resource
Web Resource Unknown Open resource
Web Page HTML tiger-line-file.html Open resource

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