20240219
08114900
FALSE
20240212
15464100
20240212
15464100
CensusBlockCentroid2010
2119537.427780
2333544.909870
667461.496774
847905.969546
1
002
Projected
GCS_NAD_1983_2011
Linear Unit: Foot (0.304800)
<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/10.8'><WKT>PROJCS["NAD_1983_2011_StatePlane_South_Carolina_FIPS_3900_Ft_Intl",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Standard_Parallel_1",32.5],PARAMETER["Standard_Parallel_2",34.83333333333334],PARAMETER["Latitude_Of_Origin",31.83333333333333],UNIT["Foot",0.3048],AUTHORITY["EPSG",6570]]</WKT><XOrigin>-122907300</XOrigin><YOrigin>-92800500</YOrigin><XYScale>3048.00609601219</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.00328083333333333</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103146</WKID><LatestWKID>6570</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_2011_StatePlane_South_Carolina_FIPS_3900_Ft_Intl
1.0
500000
5000
ItemDescription
FGDC CSDGM Metadata
Simple
FALSE
2779
TRUE
FALSE
CensusBlockCentroid2010
Feature Class
2779
The points represent the centroids of census blocks, the smallest entity for which the Census Bureau collects and tabulates decennial census information within the United States; bounded by visible features such as streets, streams, and railroad tracks, and by nonvisible boundaries such as selected property lines and city, township, school district, and county limits. Note: this data set doesn't include the centroids of census blocks that for example consist of water polygons, medians, access ramps, and land enclosures.
Department of Commerce, Census Bureau
ObjectID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
STATE_FIPS
State Federal Information Processing Series (FIPS) code
String
2
Federal Information Processing Standards
National Institute of Standards and Technology
The FIPS code (two-digit number) for the state in which the block is located.
Department of Commerce, National Institute of Standards and Technology
0
0
CNTY_FIPS
County Federal Information Processing Series (FIPS) code
String
3
The FIPS code (three-digit number) for the county in which the block is located.
Department of Commerce, National Institute of Standards and Technology
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
STCOFIPS
State and County Federal Information Processing Series (FIPS) code
String
5
The combined state and county FIPS code. County FIPS codes begin with 001 for each state, use the combined code (five-digit number) to uniquely identify a county.
Department of Commerce, National Institute of Standards and Technology
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
TRACT
Census Tract No
String
6
The four-digit number, with a two-digit suffix, used to identify a census tract. Census tract numbers are always unique within a county and usually unique within a metropolitan area.
Department of Commerce, Census Bureau
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
BLOCK
Census Block No
String
4
Department of Commerce, Census Bureau
Federal Information Processing Standards
National Institute of Standards and Technology
The Census code (four-digit number) for the block.
0
0
FIPS
Census Block Identifier (GEOID)
String
15
Federal Information Processing Standards
National Institute of Standards and Technology
The combined state and county FIPS codes, and tract and block Census codes.
Department of Commerce
0
0
POP2010
Population Census 2010
Integer
4
The 2010 population of the block.
Department of Commerce, Census Bureau
Populations for the features.
0
0
HOUSEHOLDS
Households Census 2010
Integer
4
The total number of households in the block in 2010.
Department of Commerce, Census Bureau
Numbers for the features.
0
0
HSE_UNITS
House Units Census 2010
Integer
4
The total number of housing units in the block in 2010.
Department of Commerce, Census Bureau
Numbers for the features.
0
0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ArcGIS Content Team
Esri
909-793-2853
909-793-5953
380 New York Street
Redlands
California
92373-8100
US
info@esri.com
8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday
ArcGIS Metadata
1.0
Esri; Esri Offices
800-447-9778
380 New York Street
Redlands
California
92373-8100
US
In the United States, contact the Esri Telebusiness staff at 800-447-9778 for more information about our software and data. Outside the United States, please direct all inquiries to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices.
Software purchase price
Data and Maps is available only as part of Esri® software.
File Geodatabase Feature Class
ArcGIS® software
To use this data requires software that supports FGDB files.
http://www.ArcGIS.com
Downloadable Data
Esri Data & Maps group
4.38 or 7.95
GB (gigabytes)
Offline Data
https://my.esri.com
My Esri
Downloadable Data
File Geodatabase Feature Class
Sumter County Census Block Centroid (2010)
2016-11-30
2016
U.S. Department of Commerce, Census Bureau, Esri
Esri
Redlands, California, USA
Data and Maps for ArcGIS®
2016 - World, Europe, and United States
Location: \usa\census
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>U.S. Census Block Centroid Populations represents the populations of the 2010 U.S. Census blocks as centroids for the United States. U.S. Census blocks nest within all other tabulated census geographic entities and are the basis for all tabulated data.</SPAN></P></DIV></DIV></DIV>
U.S. Census Block Centroid Populations provides population and other demographic information for each U.S. Census block centroid within the United States.
ArcGIS Content Team
Esri
909-793-2853
909-793-5953
380 New York Street
Redlands
California
92373-8100
US
info@esri.com
8:00 a.m.–5:00 p.m. Pacific time, Monday–Friday
In the United States– Please direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, you may contact Esri Support Center by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit http://support.esri.com/; Esri holidays excluded. Outside the United States– Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri Office. This information can be found at http://www.esri.com/about-esri/offices. For other questions or comments, you may contact Esri headquarters by e-mail, telephone, or fax or write to us.
United States
2010
2011
2013
2015
point
population
households
census blocks
census block centroids
housing units
society
point
population
households
census blocks
census block centroids
housing units
society
United States
2010
2011
2013
2015
The data are provided by multiple, third party data vendors under license to Esri for inclusion on Data and Maps for ArcGIS® for use with Esri® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this data set provided on Data and Maps. As used herein, “Geodata” shall mean any digital data set consisting of geographic data coordinates and associated attributes. The redistribution rights for this data set: Redistribution rights are granted by the data vendor for hard-copy renditions or static, electronic map images (e.g. .gif, .jpeg, etc.) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable with a Value-Added Software Application developed by Esri Business Partners on a royalty-free basis with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable without a Value-Added Software Application (i.e., adding the sample data to an existing, [non]commercial data set for redistribution) with proper metadata and source/copyright attribution to the respective data vendor(s).
The terms and conditions below apply to all the data sets provided on Data and Maps. Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of Esri and its licensor(s). The Data and Related Materials are owned by Esri and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions. Limited Warranty and Disclaimer: Esri warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt. THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. ESRI DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. ESRI IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA. EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. HIGH RISK ACTIVITIES: (A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). ESRI SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES. (B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD ESRI, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE. Exclusive Remedy and Limitation of Liability: The entire liability of Esri or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to Esri with a copy of Licensee's invoice/receipt and Esri returning the license fees paid to Licensee. IN NO EVENT SHALL ESRI AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT ESRI OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY. Third Party Beneficiary: Esri's licensor(s) has (have) authorized Esri to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the Esri licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to Esri. In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, Esri has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>See Resource Constraints > legal constraints.</SPAN></SPAN></P></DIV></DIV></DIV>
ground condition: 2010, 2013-07-01, 2015-07-01, 2015-05-01; publication date: 2011, 2011-10-27, 2015-07-09
2010-01-01
2011-10-27
2011-01-01
2013-07-01T00:00:00
2015-07-01T00:00:00
2015-05-01T00:00:00
2015-07-09T00:00:00
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
1
-80.607060
-79.897288
34.163178
33.663003
US Census Bureau
The dataset is converted to file geodatabase (FGDB) format using tools in ArcGIS. The geometry is checked, and if needed repaired.
After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials.
The geospatial part of this data set was calculated from latitude and longitude coordinates. The horizontal positional accuracy is unknown.
Attribute and geospatial data
Redistricting Data (Public Law 94-171) Summary File; Summary File 1 (SF 1)
U.S. Census PL 94-171 and SF 1
2011-01-01
2010
U.S. Department of Commerce, Census Bureau
U.S. Department of Commerce, Census Bureau
Washington, DC, USA
tabular digital data
Redistricting Data (Public Law 94-171) Summary File; Summary File 1 (SF 1)
2010
The geospatial data is calculated from the latitude and longitude coordinates from the 2010 Census Redistricting Data (Public Law 94-171) Summary File. The Summary File 1 (SF 1) data is based on the 2010 Census of Population and Housing.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
http://2010.census.gov/2010census/data/
ground condition: 2010; publication date: 2011
2011-01-01
2010-01-01
Attribute data
Esri Data
Esri Data
2011-10-27
2011
Esri
Redlands, California, USA
Esri
tabular digital data
Esri® Data
2011
http://www.esri.com
publication date
2011-10-27
Attribute and geospatial data
2010
Changes to Counties or County Equivalent Entities: 2010s
2015-07-09T00:00:00
2010
Substantial Changes to Counties and County Equivalent Entities: 1970-Present
2010
https://www.census.gov/geo/reference/county-changes.html
document
U.S. Department of Commerce, Census Bureau
Washington
DC
US
U.S. Department of Commerce, Census Bureau
ground condition: 2013-07-01, 2015-07-01, 2015-05-01; publication date: 2015-07-09
2013-07-01T00:00:00
2015-07-01T00:00:00
2015-05-01T00:00:00
2015-07-09T00:00:00
The following steps were performed by Esri: Created the block centroids from the 2010 Census Redistricting Data (Public Law 94-171) Summary File. Reordered and renamed the fields. Added fields STATE_FIPS, CNTY_FIPS, STCOFIPS, TRACT, and BLOCK and created their values from parsing the values of the FIPS field. Projected the data set to World Geodetic System of 1984 (WGS 1984). Converted the data set to SDC. Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices.
2012-02-08T00:00:00
U.S. Census PL 94-171 and SF 1
Esri Data
Converted the dataset into a file geodatabase.
2014-04-01T00:00:00
The following steps were performed by Esri: Changed the FIPS codes in the fields CNTY_FIPS, STCOFIPS, and FIPS for the following affected features: 1) Bedford (independent) city, Virginia (51-515) - Changed to town status and added to Bedford County (51-019). 2) Kusilvak Census Area, Alaska (02-158) - Changed code from Wade Hampton Census Area (02-270). 3) Oglala Lakota County, South Dakota (46-102) - Changed code from Shannon County (46-113).
2015-08-26T00:00:00
Changes to Counties or County Equivalent Entities: 2010s
dataset
EPSG
8.2.10(10.3.1)
2779
20240212