20260318
16073500
FALSE
20260402
15321700
20260402
15321700
ButlerCounty_MO
-178.217598
-66.969271
18.921786
71.406235
1
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<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/3.6.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
1.0
50000000
625000
NAP
Simple
FALSE
0
FALSE
FALSE
ButlerCounty_MO
Feature Class
0
The polygons represent the counties within the United States. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas. In the states Maryland, Missouri, Nevada, and Virginia, there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia has no primary divisions, and is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products.
Department of Commerce, Census Bureau
FID
FID
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.
NAME
NAME
String
32
The county name.
Esri
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
STATE_NAME
STATE_NAME
String
35
The name for the state in which the county is located.
Department of Commerce, Census Bureau
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
STATE_FIPS
STATE_FIPS
String
2
Department of Commerce, National Institute of Standards and Technology
The FIPS code (two-digit number) for the state in which the county is located.
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
CNTY_FIPS
CNTY_FIPS
String
3
The FIPS code (three-digit number) for the county.
Department of Commerce, National Institute of Standards and Technology
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
FIPS
FIPS
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 in the country.
Department of Commerce, National Institute of Standards and Technology
Federal Information Processing Standards
National Institute of Standards and Technology
0
0
POPULATION
POPULATION
Integer
10
The 2015 population of the county.
Esri
Populations for the features. A -99 value means no data.
10
0
POP_SQMI
POP_SQMI
Double
19
The 2015 population of the county per square mile.
Esri
Calculated populations per square mile for the features. A -99 value means no data.
0
0
POP2010
POP2010
Integer
10
The 2010 population of the county.
Department of Commerce, Census Bureau
Populations for the features. A -99 value means no data.
10
0
POP10_SQMI
POP10_SQMI
Double
19
The 2010 population of the county per square mile.
Department of Commerce, Census Bureau; Esri
Calculated populations per square mile for the features. A -99 value means no data.
0
0
WHITE
WHITE
Integer
10
Department of Commerce, Census Bureau
The number of people identified as White alone in 2010.
Numbers for the features. A -99 value means no data.
10
0
BLACK
BLACK
Integer
10
Department of Commerce, Census Bureau
The number of people identified as Black or African American alone in 2010.
Numbers for the features. A -99 value means no data.
10
0
AMERI_ES
AMERI_ES
Integer
10
Department of Commerce, Census Bureau
The number of people identified as American Indian or Alaska Native alone in 2010.
Numbers for the features. A -99 value means no data.
10
0
ASIAN
ASIAN
Integer
10
Department of Commerce, Census Bureau
The number of people identified as Asian alone in 2010.
Numbers for the features. A -99 value means no data.
10
0
HAWN_PI
HAWN_PI
Integer
10
The number of people identified as Native Hawaiian and other Pacific Islander alone in 2010.
Department of Commerce, Census Bureau
Numbers for the features. A -99 value means no data.
10
0
HISPANIC
HISPANIC
Integer
10
Department of Commerce, Census Bureau
The number of people identified as Hispanic or Latino in 2010.
Numbers for the features. A -99 value means no data.
10
0
OTHER
OTHER
Integer
10
Department of Commerce, Census Bureau
The number of people identified as some other race alone in 2010.
Numbers for the features. A -99 value means no data.
10
0
MULT_RACE
MULT_RACE
Integer
10
Department of Commerce, Census Bureau
The number of people identified as two or more races in 2010.
Numbers for the features. A -99 value means no data.
10
0
MALES
MALES
Integer
10
Department of Commerce, Census Bureau
The number of males in 2010.
Numbers for the features. A -99 value means no data.
10
0
FEMALES
FEMALES
Integer
10
Department of Commerce, Census Bureau
The number of females in 2010.
Numbers for the features. A -99 value means no data.
10
0
SQMI
SQMI
Double
19
The area of the county in square miles.
Esri
Calculated areas for the features.
0
0
CNTYID
CNTYID
Integer
10
10
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
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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
0.000
U.S. Counties (Generalized)
2016-11-30
2016
Esri
Redlands, California, USA
Esri
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. Counties (Generalized) represents the counties of the United States in the 50 states and the District of Columbia.</SPAN></P></DIV></DIV></DIV>
U.S. Counties (Generalized) provides 2010 U.S. Census demographic information, 2012 Census of Agriculture information, and generalized county boundaries to improve draw performance and be used effectively at a national level.
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
U.S. Counties
Counties
2002
2004
2010
2012
1992
2011
2013
2014
2015
polygon
area
population
households
demographics
society
boundaries
farming
polygon
area
population
households
demographics
society
boundaries
farming
United States
U.S. Counties
Counties
2002
2004
2010
2012
1992
2011
2013
2014
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). 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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. 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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>
publication date: 1992-06-01, 2002-01, 2004-01, 2011-12, 2010-03, 2011, 2011-10-27, 2012-11-28, 2013-08-15, 2014-05-02, 2014-07-03, 2015-05-19, 2015-07-09; ground condition: 2010, 2012-12-31, 2013-07-01, 2015-07-01, 2015-05-01
2011-12-01
2002-01-01
1992-06-01T00:00:00
2011-10-27T00:00:00
2012-11-28T00:00:00
2004-01-01T00:00:00
2012-12-31T00:00:00
2010-03-01T00:00:00
2011-01-01T00:00:00
2010-01-01T00:00:00
2013-08-15T00:00:00
2014-07-03T00:00:00
2013-07-01T00:00:00
2015-07-01T00:00:00
2015-05-01T00:00:00
2015-07-09T00:00:00
2014-05-02T00:00:00
2015-05-19T00:00:00
Esri ArcGIS 13.6.0.59527
1
-178.217598
-66.969271
71.406235
18.921786
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 extracted from the ArcUSA 1:25M database, and then generalized. Generalizing reduces positional accuracy and the tolerance was not recorded so the positional accuracy exceeds that of the ArcUSA data set. The positional accuracy of the ArcUSA 1:25M data set is 1792 meters which is based on generalizing–to a tolerance of 500 meters–the 1:2,000,000-scale USGS Digital Line Graph (DLG) source data.
Attribute and geospatial data
25000000
ArcUSA™ 1:25M
ArcUSA 1:25M
1992-06-01
1
Esri
Redlands, California, USA
Esri
vector digital data
publication date
1992-06-01
Attribute and geospatial data
100000
Dynamap/Census Boundaries v4.0; Dynamap/2000 v. 14.0
TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0
Versions 4.0 and 14.0
TomTom North America, Inc.
TomTom North America, Inc.
Lebanon, New Hampshire, USA
vector digital data
TomTom® Dynamap®/Census Boundaries; TomTom® Dynamap®/2000
Versions 4.0 and 14.0
publication date
2002-01-01
2004-01-01
Attribute data
2012 Census of Agriculture
USDA Farm
2014-05-02T00:00:00
2012
U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS)
U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS)
Washington, DC, USA
Census of Agriculture
2012
The farm fields come from data published by the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) based on the 2012 Census of Agriculture.
http://www.agcensus.usda.gov/Publications/2012/
http://www.agcensus.usda.gov/Publications/2012/Online_Resources/Desktop_Application/
ground condition
2012-12-31T00:00:00
Attribute and geospatial data
TomTom MultiNet Administrative Areas
TomTom MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03
Versions 2011.12 and 2010.03
TomTom North America, Inc.
TomTom North America, Inc.
Lebanon, New Hampshire, USA
vector digital data
TomTom® MultiNet® North America
Versions 2011.12 and 2010.03
http://www.tomtom.com/
publication date
2010-03-01
2011-12-01
Attribute data
Summary File 1 (SF 1)
U.S. Census SF 1
2011-01-01
2010
Department of Commerce, Census Bureau
Department of Commerce, Census Bureau
Washington, DC, USA
Summary File 1 (SF 1)
2010
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
ground condition: 2010; publication date: 2011
2010-01-01
2011-01-01
Attribute data
Esri Data; Esri Updated Demographics
Esri Data
2015; 2014; 2013; 2012; 2011
Esri
Esri
Redlands, California, USA
tabular digital data
Esri® Data
2015; 2014; 2013; 2012; 2011
http://www.esri.com/
publication date
2011-10-27T00:00:00
2012-11-28T00:00:00
2013-08-15T00:00:00
2014-07-03T00:00:00
2015-05-19T00:00:00
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
document
U.S. Department of Commerce, Census Bureau
U.S. Department of Commerce, Census Bureau
Washington
DC
US
https://www.census.gov/geo/reference/county-changes.html
ground condition: 2010, 2013-07-01, 2015-07-01, 2015-05-01; publication date: 2015-07-09
2010-01-01T00:00:00
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 for Data & Maps 2002: Updated geospatial data to match Data & Maps 2002 U.S. Counties. Recreated ArcView GIS legend file (.avl) and ArcGIS® layer file (.lyr). Copied projection file (.prj). The following steps were performed by Esri: Extracted and generalized the features from ArcUSA 1:25M. Converted to North American Datum of 1983 (NAD83) by splitting the United States into-if present: Alaska, Hawaii, Puerto Rico, U.S. Virgin Islands-and the 48 contiguous states (including District of Columbia); converting each to NAD83; then merging them together. Added Kalawao county of Hawaii. Created ArcGIS® layer file (.lyr). Created projection file (.prj). Ran ArcView GIS Avenue™ request ExportClean, and created spatial indices. Converted the data set to SDC.
2002-02-04T00:00:00
TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0
ArcUSA 1:25M
The following steps were performed by Esri: Updated geospatial data to match Data & Maps 2004 U.S. Counties. Merged county (FIPS: 51560) Clifton Forge, VA into (FIPS: 51005) Alleghany. Added county (FIPS: 08014) Broomfield, CO and adjusted surrounding counties (FIPS: 08001) Adams, (FIPS: 08013) Boulder, (FIPS: 08059) Jefferson, and (FIPS: 08123) Weld. Converted the data set to SDC. Created the projection file (.prj) and spatial indices.
2004-03-10
TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0
ArcUSA 1:25M
The following steps were performed by Esri: Copied Data & Maps 10 U.S. Counties (Generalized) and renamed it. Removed all fields but FIPS. Updated generalized boundaries to reflect recent changes in the Alaskan panhandle using Data & Maps 2012 U.S. Counties. Attached and formatted the fields from Data & Maps 2012 U.S. Counties. Converted the data set to SDC. Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices.
2012-02-07
Esri Data
ArcUSA 1:25M
TomTom MultiNet North America Administrative Areas v. 2011.12 and v. 2010.03
U.S. Census SF 1
USDA Farm
TomTom Dynamap/Census Boundaries v4.0 and Dynamap/2000 v. 14.0
The following steps were performed by Esri: Deleted the fields POP2000 and POP00_SQMI. Added the field POP2012 and added and calculated the field POP12_SQMI. Converted the data set to SDC.
2013-03-28T00:00:00
Esri Data
The following steps were performed by Esri: Deleted the fields POP2012 and POP12_SQMI. Added the field POP2013 and added and calculated the field POP13_SQMI. Replaced the fields NO_FARMS07, AVG_SIZE07, CROP_ACR07, and AVG_SALE07 with the fields NO_FARMS12, AVE_SIZE12, CROP_ACR12, and AVE_SALE12 from the 2012 Census of Agriculture. Put "-99" values into these fields for records where there were no matches. Converted the dataset into a file geodatabase.
2014-08-20T00:00:00
Sources: 1) Esri Data; 2) USDA Farm.
The following steps were performed by Esri: Merged Bedford (independent) city, Virginia (51-515) into Bedford County, Virginia (51-019). Changed the names and codes for the following: 1) Kusilvak Census Area, Alaska (02-158) - Changed name and code from Wade Hampton Census Area (02-270). 2) Oglala Lakota County, South Dakota (46-102) - Changed name and code from Shannon County (46-113). Deleted the fields POP2013 and POP13_SQMI. Added the field POPULATION (alias POP2014) and added and calculated the field POP_SQMI (alias POP14_SQMI). Placed them just after the FIPS field so that all the 2010 Census fields are together. Put "-99" values into these fields for records where there were no matches.
2015-11-02T00:00:00
Sources: 1) Esri Data; 2) Changes to Counties or County Equivalent Entities: 2010s.
The following steps were performed by Esri: Deleted the fields POP2014 and POP14_SQMI. Added the field POPULATION (alias POP2015) and added and calculated the field POP_SQMI (alias POP15_SQMI). Put "-99" values into these fields for records where there were no matches.
2016-08-10T00:00:00
Esri Data
dataset
EPSG
6.18.3(9.3.1.2)
0
20260402