20220830
13572100
FALSE
20260504
10120700
20260504
10120700
mundobase
-180.000000
180.000000
-90.000000
83.623600
1
002
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>10000</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
150000000
5000000
NAP
FGDC CSDGM Metadata
Simple
FALSE
0
TRUE
FALSE
mundobase
Feature Class
0
The polygons represent generalized boundaries for the countries of the world.
Esri
OBJECTID
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.
COUNTRY
Country Name
String
50
0
0
ISO
Two-character ISO Code for the Country
String
2
0
0
COUNTRYAFF
Affiliated Country
String
50
0
0
The country name if there is no affiliated sovereign country or the name of the affiliated sovereign country.
Garmin International, Inc.; U.S. Central Intelligence Agency
Names for the features.
AFF_ISO
AFF_ISO
String
2
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
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
+1-909-793-2853
+1-909-793-5953
380 New York Street
Redlands
California
92373-8100
US
info@esri.com
9:00 a.m.–5:00 p.m. Pacific time, Monday–Friday
ArcGIS Metadata
1.0
Esri; Esri Offices
+1-800-447-9778
380 New York Street
Redlands
California
92373-8100
US
In the United States, contact the Esri Sales staff at +1-800-447-9778 or visit https://www.esri.com/en-us/contact#c=us&t=1 for more information about our software and data.
Outside the United States, direct all inquiries to your local Esri Office. This information can be found at https://www.esri.com/en-us/contact#c=us&t=0.
Software purchase price
Data and Maps is available only as part of ArcGIS® software.
File Geodatabase Feature Class
ArcGIS® software
To use this data requires software that works with FGDB files.
https://www.arcgis.com/home/group.html?id=24838c2d95e14dd18c25e9bad55a7f82#overview
Downloadable Data; Hosted Feature Layer
ArcGIS Data and Maps group
4.38 or 7.95
GB (gigabytes)
Offline Data
https://my.esri.com
My Esri
Downloadable Data
File Geodatabase Feature Class
mundobase
2022-05-05
2022
Esri
Esri
Redlands, California, USA
ArcGIS® Data and Maps
2022 - World, Europe, and United States
Location: \world
U.S. Central Intelligence Agency
<div style="text-align:Left;"><div><div><p><span>World Countries Generalized represents generalized boundaries for the countries of the world.</span></p></div></div></div>
World Countries Generalized provides generalized political boundaries for the world and includes most of the attribute fields found in the World Countries. The generalized political boundaries improve draw performance and effectiveness at a global or continental level.
Sources: Esri; Garmin International, Inc.; U.S. Central Intelligence Agency (The World Factbook); National Geographic Society
ArcGIS Content Team
Esri
+1-909-793-2853
+1-909-793-5953
380 New York Street
Redlands
California
92373-8100
US
info@esri.com
9:00 a.m.–5:00 p.m. Pacific time, Monday–Friday
In the United States– Direct all inquiries regarding software/data pricing and consulting services to your local Esri Regional Office. For support, contact Esri by telephone (voice) between 5:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing +1-888-377-4575; facsimile (fax) available at +1-909-792-0960; or visit https://support.esri.com/; Esri holidays excluded. Email and chat are available through the Support page on My Esri (https://my.esri.com).
Outside the United States– Direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local Esri Office. This information can be found at https://www.esri.com/en-us/contact#c=us&t=0. For other questions or comments, you may contact Esri headquarters by email, telephone, or fax or write to us.
World
1993-2008
1994
2010
2007-2013
2013-2014
2015
2019
2022
polygon
countries
ISO codes
FIPS codes
names
capitals
international boundaries
coastlines
boundaries
society
polygon
countries
ISO codes
FIPS codes
names
capitals
international boundaries
coastlines
boundaries
society
World
1993-2008
1994
2010
2007-2013
2013-2014
2015
2019
2022
The data are provided by multiple, third party data vendors under license to Esri for inclusion on ArcGIS® Data and Maps for use with ArcGIS® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Consult the redistribution rights below for this dataset provided on Data and Maps. As used herein, “Geodata” shall mean any digital dataset consisting of geographic data coordinates and associated attributes. The redistribution rights for this dataset: Redistribution rights are granted by the data vendor for hard-copy renditions or static, electronic map images (e.g. .gif, .jpeg, and so on) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor(s). The terms and conditions below apply to all the datasets 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, AND SO ON), 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, 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.
publication date: all dates but; ground condition: 1994
1993-12-01T00:00:00
2008-03-01T00:00:00
1994-01-01T00:00:00
2007-12-15T00:00:00
2013-04-01T00:00:00
2013-06-01T00:00:00
2014-07-01T00:00:00
2019-11-01T00:00:00
2010-06-30T00:00:00
2015-03-15T00:00:00
2022-08-01T00:00:00
Esri ArcGIS 13.6.3.59530
1
-180.000000
180.000000
83.623600
-90.000000
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>See Resource Constraints > legal constraints.</SPAN></P></DIV></DIV></DIV>
The dataset is converted to file geodatabase (FGDB) format using tools in ArcGIS. The geometry is checked, and if needed repaired.
After processing, the dataset is checked for drawing display and number of records and file sizes compared with source materials.
The dataset was created directly from a topologically correct ArcInfo® coverage.
The geospatial part of this dataset was originally extracted from the ArcWorld™ Supplement database and then generalized (tolerance unknown). The positional accuracy is unknown.
Attribute and geospatial data
15000000
World Countries
10
Esri® Data & Maps
10 - World, Europe, and United States
vector digital data
Esri
Esri
Redlands
California
US
https://www.esri.com/
2010-06-30T00:00:00
Data & Maps 10
publication date: all dates but; ground condition: 1994
1993-12-01T00:00:00
2008-03-01T00:00:00
1994-01-01T00:00:00
2010-06-30T00:00:00
Attribute and geospatial data
1000000
World Countries
2013; 2014 Update
Data & Maps for ArcGIS®
2013 - World, Europe, and United States; 2014 Update - World, Europe, and United States
vector digital data
Garmin International, Inc.
Esri
Esri
https://www.esri.com/
Redlands
California
US
2015-03-15T00:00:00
Data & Maps for ArcGIS 2013 and 2014 Update
publication date
2007-12-15T00:00:00
2013-04-01T00:00:00
2013-06-01T00:00:00
2014-07-01T00:00:00
2015-03-15T00:00:00
Attribute and geospatial data
The World Factbook
CIA World Factbook
2022-08-01T00:00:00
The World Factbook is updated periodically online.
https://www.cia.gov/the-world-factbook/
document
U.S. Central Intelligence Agency
Washington, DC, USA
U.S. Central Intelligence Agency
(Online)
The World Factbook
(Online)
publication date
2019-11-01T00:00:00
2022-08-01T00:00:00
The following steps were performed by Esri: Started with the Data & Maps 10 World Countries dataset keeping only the CNTRY_NAME field as Country. Referenced the Data & Maps for ArcGIS 2013 World Countries dataset to make the country names match the 2013 data, to manually add the Sudan and South Sudan boundary, and to add polygons for Saint Eustatius, Saba, Saint Barthelemy, Sint Maarten, and Saint Martin. Added the fields ISO, COUNTRYAFF, and AFF_ISO from the 2013 World Countries data. Converted the dataset into a file geodatabase.
2013-10-02T00:00:00
Sources: 1) World Countries (Data & Maps 10); 2) World Countries (Data & Maps for ArcGIS 2013).
The following steps were performed by Esri: Copied the dataset from Data and Maps 2014 World Countries (Generalized). Added all Data and Maps 2014 Update World Countries fields except LAND_TYPE and LAND_RANK. Deleted fields as needed.
2015-02-26T00:00:00
Sources: 1) World Countries (Data & Maps 10); 2) World Countries (Data & Maps for ArcGIS 2013 and 2014 Update).
The following steps were performed by Esri: Renamed the countries, including all their associated name fields, from “The Former Yugoslav Republic of Macedonia” to “North Macedonia” and “Swaziland” to “Eswatini”.
2019-11-25T00:00:00
CIA World Factbook
The following steps were performed by Esri: Merged all multi-record countries into single features.
2021-02-16T00:00:00
The following steps were performed by Esri: Updated the country names that changed. Separated Portugal from its autonomous regions the Azores and Madeira.
2022-08-19T00:00:00
CIA World Factbook
dataset
EPSG
6.18.3(9.3.1.2)
0
20260504
6D74F589-95F6-41F3-BB81-B3659DA6325C