TIGER/Line Shapefile, 2014, state, Texas, Current State Legislative District (SLD) Upper Chamber State-based Shapefile


Metadata
File Identifier: tl_2014_48_sldu.shp.xml
Metadata Language: eng
: 8859part1
Parent Identifier: TIGER/Line Shapefile, 2014, Series Information for the Current State Legislative District (SLD) Upper Chamber State-based Shapefile
Resource Type: Dataset
Responsible Party:
Metadata Date: 2015-10-08
Metadata Standard Name: ISO 19115 Geographic Information - Metadata
Metadata Standard Version: 2009-02-15
Data Identification
Abstract: 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. State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The boundaries of the 2014 State legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2014 election.
Purpose: In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.
Language: eng
Citation:
Title: TIGER/Line Shapefile, 2014, state, Texas, Current State Legislative District (SLD) Upper Chamber State-based Shapefile
Date:
Date: 2014
Date Type: Publication Date
Edition: 2014
Point Of Contact:
Representation Type: Vector
Topic Category: Administrative and Political Boundaries
Keyword Collection:
Keyword: State or equivalent entity
Keyword: Polygon
Keyword: Legislative District
Associated Thesaurus: None
Keyword: United States
Keyword: U.S.
Keyword: State or Equivalent Entity
Keyword: Texas
Keyword: TX
Keyword: 48
Associated Thesaurus: ANSI INCITS 38:2009 (Formerly FIPS 5-2), ANSI INCITS 31:2009 (Formerly FIPS 6-4),ANSI INCITS 454:2009 (Formerly FIPS 8-6), ANSI INCITS 455:2009(Formerly FIPS 9-1), ANSI INCITS 446:2008 (Geographic Names Information System (GNIS))
Spatial Extent:
West Bounding Longitude: -106.645646
East Bounding Longitude: -93.508039
North Bounding Latitude: 36.500704
South Bounding Latitude: 25.837164
Legal Constraints:
Access Constraints: Other Restrictions
Use Constraints: Other Restrictions
Other Constraints: Access Constraints: None
Distribution
Distribution Format:
Format Name: TGRSHP (compressed)
Format Version:
File Decompression Technique: The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data. For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.
Transfer Options:
URL: http://www2.census.gov/geo/tiger/TIGER2014/SLDU/tl_2014_48_sldu.zip
Distributor:
Distributor Contact:
Quality
Scope: Dataset