8859part1
eng
M_CO.Tracts
002
Server=0000vegis10; Service=sde:sqlserver:0000vegis10; Database=egeodb5; User=m_co; Version=sde.DEFAULT
ArcSDE Connection
5667944.062500
6201596.987750
1808679.730500
2229019.983000
1
Projected
GCS_North_American_1983
<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/10.1'><WKT>PROJCS["NAD_1983_StatePlane_California_IV_FIPS_0404_Feet",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-119.0],PARAMETER["Standard_Parallel_1",36.0],PARAMETER["Standard_Parallel_2",37.25],PARAMETER["Latitude_Of_Origin",35.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2228]]</WKT><XOrigin>-116466200</XOrigin><YOrigin>-92735300</YOrigin><XYScale>4000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.002</ZTolerance><MTolerance>1.9999999999999998e-005</MTolerance><HighPrecision>true</HighPrecision><WKID>102644</WKID><LatestWKID>2228</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_StatePlane_California_IV_FIPS_0404_Feet
Linear Unit: Foot_US (0.304801)
FeatureClassToFeatureClass C:\census\tl_2010_06053_tract10.shp C:\census\Census2010.gdb\LatLong Tracts # "STATEFP10 "STATEFP10" true true false 2 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,STATEFP10,-1,-1;COUNTYFP10 "COUNTYFP10" true true false 3 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,COUNTYFP10,-1,-1;TRACTCE10 "TRACTCE10" true true false 6 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,TRACTCE10,-1,-1;GEOID10 "GEOID10" true true false 11 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,GEOID10,-1,-1;NAME10 "NAME10" true true false 7 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,NAME10,-1,-1;NAMELSAD10 "NAMELSAD10" true true false 20 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,NAMELSAD10,-1,-1;MTFCC10 "MTFCC10" true true false 5 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,MTFCC10,-1,-1;FUNCSTAT10 "FUNCSTAT10" true true false 1 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,FUNCSTAT10,-1,-1;ALAND10 "ALAND10" true true false 14 Double 0 14 ,First,#,C:\census\tl_2010_06053_tract10.shp,ALAND10,-1,-1;AWATER10 "AWATER10" true true false 14 Double 0 14 ,First,#,C:\census\tl_2010_06053_tract10.shp,AWATER10,-1,-1;INTPTLAT10 "INTPTLAT10" true true false 11 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,INTPTLAT10,-1,-1;INTPTLON10 "INTPTLON10" true true false 12 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,INTPTLON10,-1,-1" #
Project C:\census\Census2010.gdb\LatLong\Tracts C:\Census2010\Census2010.mdb\Tracts PROJCS['NAD_1983_StatePlane_California_IV_FIPS_0404_Feet',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]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',6561666.666666666],PARAMETER['False_Northing',1640416.666666667],PARAMETER['Central_Meridian',-119.0],PARAMETER['Standard_Parallel_1',36.0],PARAMETER['Standard_Parallel_2',37.25],PARAMETER['Latitude_Of_Origin',35.33333333333334],UNIT['Foot_US',0.3048006096012192]] # 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]]
CopyFeatures D:\EnterpriseGIS\GeoDatabase\DataLoading\Census2010\Census2010.mdb\Tracts "Database Connections\eGeoDB1.sde\M_CO.Census_2010\M_CO.Tracts" # 0 0 0
CopyFeatures "Database Connections\eGeoDB1_DC.sde\M_CO.Census_2010\M_CO.Tracts" "Database Connections\egeodb3.sde\M_CO.Census_2010\M_CO.Tracts" # 0 0 0
20150211
13351900
20150211
13351900
1.0
20190219
13163700
North American Profile of ISO19115 2003
FALSE
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
20150211
ArcGIS Metadata
1.0
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
The online copy of the TIGER/Line files may be accessed without charge.
Standard Ordering Instructions: To obtain more information about ordering TIGER/Line shapefiles visit http://www.census.gov/geo/www/tiger; Technical Prerequisites: 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.
SDE Feature Class
PK-ZIP, version 1.93 A or higher
http://www.census.gov/geo/www/tiger
http://www.census.gov/geo/www/tiger
Tracts
20100101
2010
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
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.
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.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
U.S.
United States
06053
County or Equivalent Entity
Monterey
INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
boundaries
ISO 19115 Topic Categories
County or equivalent entity
Polygon
Census Tract
Tract
Census
Access constraints: None
Use constraints: 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.
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.
Publication Date
201001
201007
-122.057457
-120.213979
35.757022
36.943809
1
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
002
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.
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.
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.
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.
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.
20100101
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.
Census MAF/TIGER database
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
0
Federal Information Processing Standards (FIPS), ANSI, and feature names.
EPSG
8.2.6
dataset
Simple
FALSE
0
TRUE
FALSE
M_CO.Tracts
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
STATEFP10
STATEFP10
String
2
0
0
COUNTYFP10
COUNTYFP10
String
3
0
0
TRACTCE10
TRACTCE10
String
6
0
0
GEOID10
GEOID10
String
11
0
0
NAME10
NAME10
String
7
0
0
NAMELSAD10
NAMELSAD10
String
20
0
0
MTFCC10
MTFCC10
String
5
0
0
FUNCSTAT10
FUNCSTAT10
String
1
0
0
ALAND10
ALAND10
Double
8
38
8
AWATER10
AWATER10
Double
8
38
8
INTPTLAT10
INTPTLAT10
String
11
0
0
INTPTLON10
INTPTLON10
String
12
0
0
SHAPE.AREA
SHAPE.AREA
Double
0
0
0
SHAPE.LEN
SHAPE.LEN
Double
0
0
0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