Last updated: March 4, 2025COTREX Trails and TrailheadsAdded in February 2019, the Colorado Trail System, now titled the Colorado Trail Explorer (COTREX), endeavors to map every trail in the state of Colorado. Currently there are nearly 40,000 miles of trails mapped. Trails come from a variety of sources (USFS, BLM, local parks & recreation departments, local governments) and are compiled by CPW contractor Natural Atlas. Responsibility for accuracy of the data rests with the source.CPW Designated TrailsRecognizing that an all-inclusive, spatially-aware model of trails Colorado State Park is a useful management tool and a valuable public resource this geodatabase is designed to accomplish three objectives.1. Inventorying all designated trails Colorado Parks & Wildlife maintain in Colorado State associate each trail segment with 38 applicable attributes. (length, width, surface, difficulty, etc.)2. Determine and track if the following 11 uses are permitted on each trail segment: 1:Hiking, 2:Biking, 3: Equestrian 4:Pets, 5:Snowshoeing. 6: Cross Country Skiing, 7: Snowmobiling, 8: Grooming, 9: OHV 10: Other Power Driven Mobility Devices (OPDMD), 11:Wheelchair friendliness (Not ADA accessibility)3. Model Colorado State Park Trail system in a spatially aware three dimensional space and associate each trail segment to 38 attributes that can be used to producing a set of standardized trail maps for public and internal use.
Download high-quality, up-to-date Ghana shapefile boundaries (SHP, projection system SRID 4326). Our Ghana Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Download high-quality, up-to-date Bangladesh shapefile boundaries (SHP, projection system SRID 4326). Our Bangladesh Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. 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 for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four 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 and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are mostly as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
Download high-quality, up-to-date Israel shapefile boundaries (SHP, projection system SRID 4326). Our Israel Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.
Download high-quality, up-to-date Benign shapefile boundaries (SHP, projection system SRID 4326). Our Benign Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Download high-quality, up-to-date Yemen shapefile boundaries (SHP, projection system SRID 4326). Our Yemen Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
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Last Updated: March 4, 2025These data represent all roads within Colorado State Parks where public access is allowed. This is a complete dataset of all public roads within Colorado State Parks and is updated as roads are built, re-routed, or abolished. Occasionally, some roads outside of the boundaries of Colorado State Parks are included to help depict the best route to access various parcels.Initial database work was completed in May 2011 by Tom Williams, under the direction of Matt Schulz, Parks GIS Coordinator.This feature class was created by combining all individual public road shapefiles from the L/parks/work/xxx/themes/roads directory of each park.First, a new standard for roads was created using the NRPA standard for roads as a background (L:\parks\standards\themes\infrastr\Roads_Geodatabase_Standards_20110308.xlsx).A set of coded value domains were created in the geodatabase that was going to house the data to ensure data quality as the data was edited in the future.The final desired fields and all possible fields from the shapefiles were added into a new feature class and then each individual park shapefile was added to the created feature class using the "Append" tool.All fields were condensed into the final desired fields and entries were changed to match the domain for that field. Some information was put into the COMMENTS field so it was not lost in the transition.NOTE FOR FURTHER EDITS: When editing, a drop down pick list will appear for each entry if the field has a domain assigned to it. You must populate using the pick list or you can fill in multiple entries at once by using the field calculator and using the code instead of the code description. Please view the Supplemental Details to see the codes and descriptions.State Forest State Park: Winter Roads were integrated, "Plowed" field = YESColorado Parks and Wildlife Public GIS Data Update ScheduleAdministrative Boundary GIS Data1) First Week in February – to match any changes in Sheep, Goat, or Big Game GMU boundaries published in the Big Game Brochure.2) First Week in March – to update changes in administrative boundaries Regions, Areas, and Districts.3) First Week in August – to update Public Access Properties at the beginning of Big Game hunting seasons.4) First Week in September – to update Walk In Access program property boundaries.5) First Week in November – to update Walk In Access program property boundaries (late season).Wildlife Species GIS Data1) Mid December – at the completion of regional species activity mapping updates
Download high-quality, up-to-date Laos shapefile boundaries (SHP, projection system SRID 4326). Our Laos Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
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New political and administrative boundaries Shapefile of Nepal. Downloaded and republished from the Survey Department website.
Last Updated October 29, 2024WALK IN ACCESS PROGRAM - LATEThe fields depicted are intended for general reference and do not necessarily depict property boundaries. Field conditions can change often. Hunters should pay attention to the signs posted in the field. They are the deciding factor that determines access as enrolled properties. If a field is posted with a closed sign, there is no hunting allowed in that field, despite what the data depicts.Information depicted hereon is for reference purposes only and is compiled from best available sources. Reasonable efforts have been made to ensure the accuracy of this data. Colorado Parks and Wildlife expressly disclaims responsibility for damages or liability that may arise from the use of this data.Colorado Parks and Wildlife Public GIS Data Update ScheduleAdministrative Boundary GIS Data1) First Week in February – to match any changes in Sheep, Goat, or Big Game GMU boundaries published in the Big Game Brochure.2) First Week in March – to update changes in administrative boundaries Regions, Areas, and Districts.3) First Week in August – to update Public Access Properties at the beginning of Big Game hunting seasons.4) First Week in September – to update Walk In Access program property boundaries.5) First Week in November – to update Walk In Access program property boundaries (late season).Wildlife Species GIS Data1) Mid December – at the completion of regional species activity mapping updates
Updated June, 2020SwiftFoxOverallRange is an ESRI shapefile encompassing the observed range of a population of Swift Fox in Colorado. This layer was created to indicate the areas in Eastern Colorado with a high likelihood of having swift fox present. Data from occupancy surveys from 2012 and 2016 were used as well as the location of habitat and landscape features.
The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.
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Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous
Geoscape Administrative Boundaries is Australia’s most comprehensive national collection of boundaries, including government, statistical and electoral boundaries. It is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.
This dataset comprises seven Geoscape products:
Updated versions of Administrative Boundaries are published on a quarterly basis.
Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.
Notable changes in the May 2025 release
Victorian Wards have seen almost half of the dataset change now reflecting the boundaries from the 2024 subdivision review. https://www.vec.vic.gov.au/electoral-boundaries/council-reviews/ subdivision-reviews.
One new locality ‘Kenwick Island’ has been added to the local Government area ‘Mackay Regional’ in Queensland.
There have been spatial changes(area) greater than 1 km2 to the localities ‘Nicholson’, ‘Lawn Hill’ and ‘Coral Sea’ in Queensland and ‘Calguna’, ‘Israelite Bay’ and ‘Balladonia’ in Western Australia.
An update to the NT Commonwealth Electoral Boundaries has been applied to reflect the redistribution of the boundaries gazetted on 4 March 2025.
Geoscape has become aware that the DATE_CREATED and DATE_RETIRED attributes in the commonwealth_electoral_polygon MapInfo TAB tables were incorrectly ordered and did not match the product data model. These attributes have been re-ordered to match the data model for the May 2025 release.
IMPORTANT NOTE: correction of issues with the 22 November 2022 release
Further information on Administrative Boundaries, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.
Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.
The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 licence.
Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).
Users must also note the following attribution requirements:
Preferred attribution for the Licensed Material:
Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International license (CC BY 4.0).
Preferred attribution for Adapted Material:
Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).
Administrative Boundaries is large dataset (around 1.5GB unpacked), made up of seven themes each containing multiple layers.
Users are advised to read the technical documentation including the product change notices and the individual product descriptions before downloading and using the product.
Please note this dataset is the most recent version of the Administrative Boundaries (AB). For previous versions of the AB please go to this url: https://data.gov.au/dataset/ds-dga-b4ad5702-ea2b-4f04-833c-d0229bfd689e/details?q=previous
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Shapefiles for Ethiopia's Administrative boundaries: Regions, Zones and Woredas
Download high-quality, up-to-date Spain shapefile boundaries (SHP, projection system SRID 4326). Our Spain Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Download high-quality, up-to-date Iran shapefile boundaries (SHP, projection system SRID 4326). Our Iran Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Download high-quality, up-to-date Vietnam shapefile boundaries (SHP, projection system SRID 4326). Our Vietnam Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Download high-quality, up-to-date Cameroon shapefile boundaries (SHP, projection system SRID 4326). Our Cameroon Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.
Last updated: March 4, 2025COTREX Trails and TrailheadsAdded in February 2019, the Colorado Trail System, now titled the Colorado Trail Explorer (COTREX), endeavors to map every trail in the state of Colorado. Currently there are nearly 40,000 miles of trails mapped. Trails come from a variety of sources (USFS, BLM, local parks & recreation departments, local governments) and are compiled by CPW contractor Natural Atlas. Responsibility for accuracy of the data rests with the source.CPW Designated TrailsRecognizing that an all-inclusive, spatially-aware model of trails Colorado State Park is a useful management tool and a valuable public resource this geodatabase is designed to accomplish three objectives.1. Inventorying all designated trails Colorado Parks & Wildlife maintain in Colorado State associate each trail segment with 38 applicable attributes. (length, width, surface, difficulty, etc.)2. Determine and track if the following 11 uses are permitted on each trail segment: 1:Hiking, 2:Biking, 3: Equestrian 4:Pets, 5:Snowshoeing. 6: Cross Country Skiing, 7: Snowmobiling, 8: Grooming, 9: OHV 10: Other Power Driven Mobility Devices (OPDMD), 11:Wheelchair friendliness (Not ADA accessibility)3. Model Colorado State Park Trail system in a spatially aware three dimensional space and associate each trail segment to 38 attributes that can be used to producing a set of standardized trail maps for public and internal use.