<?xml version="1.0" encoding="UTF-8"?><metadata>
<idinfo>
<citation>
<citeinfo>
<origin>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</origin>
<pubdate>2010</pubdate>
<title>Census Tract</title>
<edition>2010</edition>
<geoform>vector digital data</geoform>
<onlink>http://www.census.gov/geo/www/tiger</onlink>
</citeinfo>
</citation>
<descript>
<abstract>The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.</abstract>
<purpose>Census tract data for 2010</purpose>
<Subject_Entity>St. Johns, FL, (12109)</Subject_Entity>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>201001</begdate>
<enddate>201007</enddate>
</rngdates>
</timeinfo>
<current>Publication Date</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database. 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>-81.690469</westbc>
<eastbc>-81.150817</eastbc>
<northbc>30.252941</northbc>
<southbc>29.622432</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>ISO 19115 Topic Categories</themekt>
<themekey>boundaries</themekey>
</theme>
<theme>
<themekt>None</themekt>
<themekey>County or equivalent entity</themekey>
<themekey>Polygon</themekey>
<themekey>Census Tract</themekey>
<themekey>Tract</themekey>
</theme>
<place>
<placekt>INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008</placekt>
<placekey>United States</placekey>
<placekey>U.S.</placekey>
<placekey>County or Equivalent Entity</placekey>
<placekey>St. Johns</placekey>
<placekey>12109</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 address</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 Standards (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>201001</begdate>
<enddate>201007</enddate>
</rngdates>
</timeinfo>
<srccurr>Publication Date</srccurr>
</srctime>
<srccitea>MAF/TIGER</srccitea>
<srccontr>The selected geographic and cartographic information (line segments) are derived from the U.S. Census Bureau's Master Address File Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.</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>withheld</srcused>
<procdate>2010</procdate>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<indspref>Federal Information Processing Standards (FIPS), ANSI, and feature names.</indspref>
<direct>Vector</direct>
<ptvctinf>
<esriterm Name="census2010_tract_wams">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">41</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<spref>
<horizsys>
<geodetic>
<horizdn>North American Datum of 1983 in the 48 contiguous states, the District of Columbia, Alaska, Hawaii, Puerto Rico, the Virgin Islands of the United States, and the Pacific Island Areas.</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137</semiaxis>
<denflat>298257</denflat>
</geodetic>
</horizsys>
</spref>
<eainfo>
<detailed Name="census2010_tract_wams">
<enttyp>
<enttypl>TRACT10.shp</enttypl>
<enttypd>2010 Census Census Tract County-based</enttypd>
<enttypds>U.S. Census Bureau</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">41</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</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">4</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>STATEFP10</attrlabl>
<attrdef>2010 Census state Federal Information Processing Standards
(FIPS) codes</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.38-200x (R2004), 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">STATEFP10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>COUNTYFP10</attrlabl>
<attrdef>2010 Census county Federal Information Processing Standards
(FIPS) code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.31-200x (R2007), Codes for the Identification of
the Counties and Equivalent Areas of the United States,
Puerto Rico, and the Insular Areas of the United States
(Formerly FIPS 6-4)</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">COUNTYFP10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>TRACTCE10</attrlabl>
<attrdef>2010 Census census tract code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>000000</edomv>
<edomvd>Water tract in some coastal and Great Lakes water and
territorial sea</edomvd>
<edomvds>U.S. Census</edomvds>
</edom>
<edom>
<edomv>000100 to 998999</edomv>
<edomvd>Census tract number</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">TRACTCE10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>GEOID10</attrlabl>
<attrdef>Census tract identifier; a concatenation of 2010 Census state
FIPS code, county FIPS code, and census tract code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>INCITS.38-200x (R2004), 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.31-200x (R2007), Codes for the Identification of
the Counties and Equivalent Areas of the United States,
Puerto Rico, and the Insular Areas of the United States
(Formerly FIPS 6-4), and the census tract code found in
TRACTCE10</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">GEOID10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>NAME10</attrlabl>
<attrdef>2010 Census census tract name, this is the census tract code
converted to an integer or integer plus two-digit decimal if
the last two characters of the code are not both zeros.</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>Refer to the online census tract gazetteer file at URL:
http://www.census.gov/geo/www/gazetteer/gazette.html</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">NAME10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">7</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>NAMELSAD10</attrlabl>
<attrdef>Census 2010 translated legal/statistical area description and
the census tract name</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<codesetd>
<codesetn>Refer to the online census tract gazetteer file at URL:
http://www.census.gov/geo/www/gazetteer/gazette.html and
translated legal/statistical area description code CT,
Census Tract</codesetn>
<codesets>U.S. Census Bureau</codesets>
</codesetd>
</attrdomv>
<attalias Sync="TRUE">NAMELSAD10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>MTFCC10</attrlabl>
<attrdef>MAF/TIGER feature class code</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>G5020</edomv>
<edomvd>Census Tract</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">MTFCC10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>FUNCSTAT10</attrlabl>
<attrdef>2010 Census functional status</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>S</edomv>
<edomvd>Statistical entity</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">FUNCSTAT10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>ALAND10</attrlabl>
<attrdef>2010 Census land area (square meters)</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>0 to 9,999,999,999,999</edomv>
<edomvd>Blank</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">ALAND10</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>AWATER10</attrlabl>
<attrdef>2010 Census water area (square meters)</attrdef>
<attrdefs>U.S. Census Bureau</attrdefs>
<attrdomv>
<edom>
<edomv>0 to 9,999,999,999,999</edomv>
<edomvd>Blank</edomvd>
<edomvds>U.S. Census Bureau</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">AWATER10</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl>INTPTLAT10</attrlabl>
<attrdef>2010 Census latitude of the internal point</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">INTPTLAT10</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>INTPTLON10</attrlabl>
<attrdef>2010 Census longitude of the internal point</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">INTPTLON10</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.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</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 address</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://www.census.gov/geo/www/tiger</networkr>
</networka>
</computer>
</onlinopt>
<offoptn>
<offmedia>DVD-ROM (Only if offered offline)</offmedia>
<recfmt>ISO 9660</recfmt>
</offoptn>
</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>20100507</metd>
<metc>
<cntinfo>
<cntorgp>
<cntorg>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch</cntorg>
</cntorgp>
<cntaddr>
<addrtype>Mailing address</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_2010_12109_tract10.shp.xml</Metadata_File_Identifier>
<Metadata_Language>eng</Metadata_Language>
</metainfo>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270</envirDesc>
<dataLang>
<languageCode country="US" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Census Tract</resTitle>
<presForm>
<PresFormCd value="005"/>
</presForm>
</idCitation>
<descKeys>
<thesaName uuidref="723f6998-058e-11dc-8314-0800200c9a66"/>
<keyword Sync="TRUE">002</keyword>
</descKeys>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-81.690469</westBL>
<eastBL Sync="TRUE">-81.150817</eastBL>
<northBL Sync="TRUE">30.252941</northBL>
<southBL Sync="TRUE">29.622432</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Census tract data for 2010</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Census</keyword>
<keyword>2010</keyword>
</searchKeys>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<resConst>
<LegConsts>
<useLimit>The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.</useLimit>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<Esri>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">census2010_tract_wams</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-9093741.411800</westBL>
<eastBL Sync="TRUE">-9033667.626000</eastBL>
<southBL Sync="TRUE">3455108.739200</southBL>
<northBL Sync="TRUE">3536104.662000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
<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/10.6'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&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],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&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;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
</coordRef>
</DataProperties>
<SyncDate>20220103</SyncDate>
<SyncTime>07163400</SyncTime>
<ModDate>20250129</ModDate>
<ModTime>12582700</ModTime>
<CreaDate>20120622</CreaDate>
<CreaTime>12255300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<distInfo>
<distFormat>
<formatName Sync="FALSE">Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="2236"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.8(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="census2010_tract_wams">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">41</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<mdDateSt Sync="TRUE">20250129</mdDateSt>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<mdConst>
<LegConsts>
<useLimit>Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.</useLimit>
</LegConsts>
</mdConst>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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=</Data>
</Thumbnail>
</Binary>
</metadata>
