<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</origin>
<pubdate>2012</pubdate>
<title>TIGER/Line Shapefile, 2012, nation, U.S., Current State and Equivalent National</title>
<edition>2012</edition>
<geoform>vector digital data</geoform>
<onlink>http://www2.census.gov/geo/tiger/TIGER2012/STATE/tl_2012_us_state.zip</onlink>
</citeinfo>
</citation>
<descript>
<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. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.</abstract>
<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.</purpose>
<Subject_Entity>United States,US</Subject_Entity>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>201108</begdate>
<enddate>201206</enddate>
</rngdates>
</timeinfo>
<current>Publication Date</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>No changes or updates will be made to this version of the TIGER/Line Shapefiles. Future releases of TIGER/Line Shapefiles will reflect updates made to the Census MAF/TIGER database.</update>
</status>
<spdom>
<bounding>
<westbc>-179.231086</westbc>
<eastbc>179.859681</eastbc>
<northbc>71.441059</northbc>
<southbc>-14.601813</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>ISO 19115 Topic Categories</themekt>
<themekey>boundaries</themekey>
</theme>
<theme>
<themekt>None</themekt>
<themekey>Nation</themekey>
<themekey>State or equivalent entity</themekey>
<themekey>Polygon</themekey>
</theme>
<place>
<placekt>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))</placekt>
<placekey>United States</placekey>
<placekey>U.S.</placekey>
</place>
</keywords>
<accconst>None</accconst>
<useconst>The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source.
The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</useconst>
<Title_13_Restrictions>Yes, the data are free from Title 13 restrictions</Title_13_Restrictions>
<ptcontac>
<cntinfo>
<cntorgp>
<cntorg>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch</cntorg>
</cntorgp>
<cntaddr>
<addrtype>Mailing</addrtype>
<address>4600 Silver Hill Road, Stop 7400</address>
<city>Washington</city>
<state>DC</state>
<postal>20233-7400</postal>
<country>United States</country>
</cntaddr>
<cntvoice>301-763-1128</cntvoice>
<cntfax>301-763-4710</cntfax>
<cntemail>geo.tiger@census.gov</cntemail>
</cntinfo>
</ptcontac>
</idinfo>
<Data_Set_Character_Set>8859part1</Data_Set_Character_Set>
<Data_Set_Language>eng</Data_Set_Language>
<dataqual>
<attracc>
<attraccr>Accurate against Federal Information Processing Series (FIPS), FIPS Publication 6-4, and FIPS-55 at the 100% level for the codes and base names. The remaining attribute information has been examined but has not been fully tested for accuracy.</attraccr>
</attracc>
<logic>The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure.
The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining FIPS 55. Feature attribute information has been examined but has not been fully tested for consistency.
For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.</logic>
<complete>Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.</complete>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</origin>
<pubdate>Unpublished material</pubdate>
<title>Census MAF/TIGER database</title>
</citeinfo>
</srccite>
<typesrc>online</typesrc>
<srctime>
<timeinfo>
<rngdates>
<begdate>201108</begdate>
<enddate>201206</enddate>
</rngdates>
</timeinfo>
<srccurr>Publication Date</srccurr>
</srctime>
<srccitea>MAF/TIGER</srccitea>
<srccontr>All line segments</srccontr>
</srcinfo>
<procstep>
<procdesc>TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data. </procdesc>
<srcused>MAF/TIGER</srcused>
<procdate>2012</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<indspref>Federal Information Processing Series (FIPS), ANSI, and feature names.</indspref>
<direct>Vector</direct>
<ptvctinf>
<esriterm Name="CA_Non_TMDL_Areas">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geodetic>
<horizdn>North American Datum of 1983</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137</semiaxis>
<denflat>298.257</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed Name="CA_Non_TMDL_Areas">
<enttyp>
<enttypl>STATE.shp</enttypl>
<enttypd>Current State and Equivalent National entities</enttypd>
<enttypds>U.S. Census Bureau</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID_1</attrlabl>
<attalias Sync="TRUE">OBJECTID_1</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>REGION</attrlabl>
<attrdef>Current Census region code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Northeast</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>2</edomv>
<edomvd>Midwest</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>3</edomv>
<edomvd>South</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>4</edomv>
<edomvd>West</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>9</edomv>
<edomvd>Puerto Rico and the Island Areas</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">REGION</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DIVISION</attrlabl>
<attrdef>Current Census division code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>0</edomv>
<edomvd>Puerto Rico and the Island Areas</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>1</edomv>
<edomvd>New England</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>2</edomv>
<edomvd>Middle Atlantic</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>3</edomv>
<edomvd>East North Central</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>4</edomv>
<edomvd>West North Central</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>5</edomv>
<edomvd>South Atlantic</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>6</edomv>
<edomvd>East South Central</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>7</edomv>
<edomvd>West South Central</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>8</edomv>
<edomvd>Mountain</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>9</edomv>
<edomvd>Pacific</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">DIVISION</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>STATEFP</attrlabl>
<attrdef>Current state Federal Information Processing Series (FIPS) code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.38-2009, Codes for the Identification of the States, the District of Columbia, Puerto Rico, and the Insular Areas of the United States (Formerly FIPS 5-2)</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">STATEFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>STATENS</attrlabl>
<attrdef>Current state ANSI code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS 446-2008, (GNIS) Identifying Attributes for Named Physical and Cultural Geographic Features (Except Roads and Highways) of the United States, Its Territories, Outlying Areas, and Freely Associated Areas, and the Waters of the Same to the Limit of the Twelve-Mile Statutory Zone</codesetn>
<codesets>U.S. Geological Survey (USGS)</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">STATENS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GEOID</attrlabl>
<attrdef>State identifier; state FIPS code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.38-2009, Codes for the Identification of the States, the District of Columbia, Puerto Rico, and the Insular Areas of the United States (Formerly FIPS 5-2), INCITS.31-2009</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">GEOID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>STUSPS</attrlabl>
<attrdef>Current United States Postal Service state abbreviation</attrdef>
<attrdefs>U.S. Postal Service</attrdefs>
<attrdomv>
<codesetd>
<codesetn>Official USPS state abbreviations, as shown in Publication 65, National 5-Digit ZIP Code and Post Office Directory</codesetn>
<codesets>U.S. Postal Service</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">STUSPS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>NAME</attrlabl>
<attrdef>Current state name</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.38-2009, Codes for the Identification of the States, the District of Columbia, Puerto Rico, and the Insular Areas of the United States (Formerly FIPS 5-2)</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">NAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>LSAD</attrlabl>
<attrdef>Current legal/statistical area description code for state</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>00</edomv>
<edomvd>Blank</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">LSAD</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>MTFCC</attrlabl>
<attrdef>MAF/TIGER feature class code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>G4000</edomv>
<edomvd>State or Equivalent feature</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">MTFCC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>FUNCSTAT</attrlabl>
<attrdef>Current functional status</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>A</edomv>
<edomvd>Active government providing primary general-purpose functions</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
<edom>
<edomv>N</edomv>
<edomvd>Nonfunctioning legal entity</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">FUNCSTAT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>ALAND</attrlabl>
<attrdef>Current land area (square meters)</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>9,999,999,999,999</rdommax>
<attrunit>square meters</attrunit>
</rdom>
</attrdomv>
<attalias Sync="TRUE">ALAND</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>AWATER</attrlabl>
<attrdef>Current water area (square meters)</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<rdom>
<rdommin>0</rdommin>
<rdommax>9,999,999,999,999</rdommax>
<attrunit>square meters</attrunit>
</rdom>
</attrdomv>
<attalias Sync="TRUE">AWATER</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>INTPTLAT</attrlabl>
<attrdef>Current latitude of the internal point</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<rdom>
<rdommin>-90.000000</rdommin>
<rdommax>90.000000</rdommax>
<attrunit>Decimal degrees</attrunit>
</rdom>
</attrdomv>
<attalias Sync="TRUE">INTPTLAT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>INTPTLON</attrlabl>
<attrdef>Current longitude of the internal point</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<rdom>
<rdommin>-180.000000</rdommin>
<rdommax>180.000000</rdommax>
<attrunit>Decimal degrees</attrunit>
</rdom>
</attrdomv>
<attalias Sync="TRUE">INTPTLON</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Leng</attrlabl>
<attalias Sync="TRUE">Shape_Leng</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Le_1</attrlabl>
<attalias Sync="TRUE">Shape_Le_1</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<distinfo>
<distrib>
<cntinfo>
<cntorgp>
<cntorg>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch</cntorg>
</cntorgp>
<cntaddr>
<addrtype>Mailing</addrtype>
<address>4600 Silver Hill Road, Stop 7400</address>
<city>Washington</city>
<state>DC</state>
<postal>20233-7400</postal>
<country>United States</country>
</cntaddr>
<cntvoice>301-763-1128</cntvoice>
<cntfax>301-763-4710</cntfax>
<cntemail>geo.tiger@census.gov</cntemail>
</cntinfo>
</distrib>
<distliab>No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.</distliab>
<stdorder>
<digform>
<digtinfo>
<formname>TGRSHP (compressed)</formname>
<filedec>PK-ZIP, version 1.93 A or higher</filedec>
</digtinfo>
<digtopt>
<onlinopt>
<computer>
<networka>
<networkr>http://www2.census.gov/geo/tiger/TIGER2012/STATE/tl_2012_us_state.zip</networkr>
</networka>
</computer>
</onlinopt>
</digtopt>
</digform>
<fees>The online copy of the TIGER/Line files may be accessed without charge.</fees>
<ordering>To obtain more information about ordering TIGER/Line shapefiles visit http://www.census.gov/geo/www/tiger </ordering>
</stdorder>
<techpreq>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.</techpreq>
</distinfo>
<metainfo>
<metd>20120615</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch</cntorg>
</cntorgp>
<cntaddr>
<addrtype>Mailing</addrtype>
<address>4600 Silver Hill Road, Stop 7400</address>
<city>Washington</city>
<state>DC</state>
<postal>20233-7400</postal>
<country>United States</country>
</cntaddr>
<cntvoice>301-763-1128</cntvoice>
<cntfax>301-763-4710</cntfax>
<cntemail>geo.tiger@census.gov</cntemail>
</cntinfo>
</metc>
<metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
<Metadata_Character_Set>8859part1</Metadata_Character_Set>
<Metadata_File_Identifier>tl_2012_us_state.shp.xml</Metadata_File_Identifier>
<Metadata_Language>eng</Metadata_Language>
</metainfo>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 26200) ; Esri ArcGIS 13.4.0.55405</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">CA_Non_CGP_TMDL_Areas</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-179.231101</westBL>
<eastBL Sync="TRUE">179.859666</eastBL>
<northBL Sync="TRUE">71.441059</northBL>
<southBL Sync="TRUE">-14.601806</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>CGP</keyword>
<keyword>TMDL</keyword>
</searchKeys>
<idPurp>Locations in the state of California that are not within a TMDL.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<Esri>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">CA_Non_TMDL_Areas</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\WB-80974\C$\Users\EDelgadillo\OneDrive - Water Boards\Stormwater Data Files\_CGP\CGP TMDL Map Data Files\_CGP TMDL Map Project\CGP TMDL Map Project.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">-19951914.925600</westBL>
<eastBL Sync="TRUE">20021886.403100</eastBL>
<southBL Sync="TRUE">-1643352.016500</southBL>
<northBL Sync="TRUE">11554793.470300</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984_Major_Auxiliary_Sphere</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984_Major_Auxiliary_Sphere&amp;quot;,DATUM[&amp;quot;D_WGS_1984_Major_Auxiliary_Sphere&amp;quot;,SPHEROID[&amp;quot;WGS_1984_Major_Auxiliary_Sphere&amp;quot;,6378137.0,0.0]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3785]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102113&lt;/WKID&gt;&lt;LatestWKID&gt;3785&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator</projcsn>
</coordRef>
<lineage>
<Process Date="20130614" Time="091907" ToolSource="c:\program files (x86)\arcgis\desktop10.1\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp I:\GIS\DATA\BOUNDARIES\2012_TIGER_STATES.gdb tl_2012_us_state # "REGION "REGION" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,REGION,-1,-1;DIVISION "DIVISION" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,DIVISION,-1,-1;STATEFP "STATEFP" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,STATEFP,-1,-1;STATENS "STATENS" true true false 8 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,STATENS,-1,-1;GEOID "GEOID" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,GEOID,-1,-1;STUSPS "STUSPS" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,STUSPS,-1,-1;NAME "NAME" true true false 100 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,NAME,-1,-1;LSAD "LSAD" true true false 2 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,LSAD,-1,-1;MTFCC "MTFCC" true true false 5 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,MTFCC,-1,-1;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,FUNCSTAT,-1,-1;ALAND "ALAND" true true false 14 Double 0 14 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,INTPTLAT,-1,-1;INTPTLON "INTPTLON" true true false 12 Text 0 0 ,First,#,I:\GIS\DATA\BOUNDARIES\_US\tl_2012_us_state\tl_2012_us_state.shp,INTPTLON,-1,-1" #</Process>
<Process Date="20130614" Time="111534" ToolSource="c:\program files (x86)\arcgis\desktop10.1\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures I:\GIS\DATA\BOUNDARIES\2012_TIGER_STATES.gdb\tl_2012_us_state I:\GIS\DATA\BOUNDARIES\2012_TIGER.gdb\tl_2012_us_state # 0 0 0</Process>
<Process Date="20140103" Time="154626" ToolSource="c:\program files (x86)\arcgis\desktop10.1\ArcToolbox\Toolboxes\Data Management Tools.tbx\Project">Project tl_2012_us_state C:\Projects\ES_Sage_Grouse_Consv_Efforts\working\projecting2webmercator\webmerc.gdb\tl_2012_us_state PROJCS['WGS_1984_Web_Mercator',GEOGCS['GCS_WGS_1984_Major_Auxiliary_Sphere',DATUM['D_WGS_1984_Major_Auxiliary_Sphere',SPHEROID['WGS_1984_Major_Auxiliary_Sphere',6378137.0,0.0]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Mercator'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',0.0],PARAMETER['Standard_Parallel_1',0.0],UNIT['Meter',1.0]] 'WGS_1984_(ITRF00)_To_NAD_1983 + WGS_1984_Major_Auxiliary_Sphere_To_WGS_1984' GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433],METADATA['North America - NAD83',167.65,14.93,-47.74,86.45,0.0,0.0174532925199433,0.0,1350]]</Process>
<Process Date="20240503" Time="111003" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures tl_2012_us_state "C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\State_Boundaries_05032024.gdb\tl_2012_us_sta_ExportFeature" # NOT_USE_ALIAS "OBJECTID "OBJECTID" true true false 9 Long 0 9,First,#,tl_2012_us_state,OBJECTID,-1,-1;REGION "REGION" true true false 2 Text 0 0,First,#,tl_2012_us_state,REGION,0,2;DIVISION "DIVISION" true true false 2 Text 0 0,First,#,tl_2012_us_state,DIVISION,0,2;STATEFP "STATEFP" true true false 2 Text 0 0,First,#,tl_2012_us_state,STATEFP,0,2;STATENS "STATENS" true true false 8 Text 0 0,First,#,tl_2012_us_state,STATENS,0,8;GEOID "GEOID" true true false 2 Text 0 0,First,#,tl_2012_us_state,GEOID,0,2;STUSPS "STUSPS" true true false 2 Text 0 0,First,#,tl_2012_us_state,STUSPS,0,2;NAME "NAME" true true false 100 Text 0 0,First,#,tl_2012_us_state,NAME,0,100;LSAD "LSAD" true true false 2 Text 0 0,First,#,tl_2012_us_state,LSAD,0,2;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,tl_2012_us_state,MTFCC,0,5;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,tl_2012_us_state,FUNCSTAT,0,1;ALAND "ALAND" true true false 19 Double 0 0,First,#,tl_2012_us_state,ALAND,-1,-1;AWATER "AWATER" true true false 19 Double 0 0,First,#,tl_2012_us_state,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,tl_2012_us_state,INTPTLAT,0,11;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,tl_2012_us_state,INTPTLON,0,12;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,tl_2012_us_state,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,tl_2012_us_state,Shape_Area,-1,-1" #</Process>
<Process Date="20240503" Time="111123" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\State_Boundaries_05032024.gdb\tl_2012_us_sta_ExportFeature' FeatureClass" "C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\State_Boundaries_05032024.gdb" tl_2012_us_sta_ExportFeature_1 "tl_2012_us_sta_ExportFeature FeatureClass tl_2012_us_sta_ExportFeature_1 #"</Process>
<Process Date="20240503" Time="111132" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\State_Boundaries_05032024.gdb\tl_2012_us_sta_ExportFeature_1" "C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\State_Boundaries_05032024.gdb\CA_State" FeatureClass</Process>
<Process Date="20240503" Time="111226" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures CA_State "C:\Users\carmen.gonsalves\OneDrive - California Department of Technology\Documents\ArcGIS\Projects\State_Boundaries_05032024\CA_State.shp" # # # #</Process>
<Process Date="20260115" Time="142911" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Analysis Tools.tbx\PairwiseErase">PairwiseErase CA_State "Construction General Permit TMDL" "C:\Users\EDelgadillo\OneDrive - Water Boards\Stormwater Data Files\_CGP\CGP TMDL Map Data Files\_CGP TMDL Map Project\CGP TMDL Map Project.gdb\CA_Non_TMDL_Areas" #</Process>
</lineage>
</DataProperties>
<SyncDate>20260115</SyncDate>
<SyncTime>14291000</SyncTime>
<ModDate>20260115</ModDate>
<ModTime>14291000</ModTime>
<CreaDate>20240503</CreaDate>
<CreaTime>11112300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>FALSE</SyncOnce>
</Esri>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3785"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.18.3(10.1.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="CA_Non_TMDL_Areas">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<mdDateSt Sync="TRUE">20260115</mdDateSt>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
