Download Vegetation Area in Shapefile, KML, KMZ +15 GIS format – Filter and download

GIS Data by MAPOG is a user-friendly platform that provides easy access to a variety of GIS data formats like Shapefile, KML, GeoJSON, and more. It simplifies the process of downloading vegetation area data efficiently, including both administrative and geographic datasets. This makes it an ideal tool for those who need to download vegetation area data for detailed mapping, environmental analysis, and natural resource management.

Key Concept for downloading Vegetation Area

GIS Data by MAPOG makes it easy to download vegetation area data by offering a clear, step-by-step guide to access data for over 200 countries with 900+ layers. The platform supports a wide range of formats such as Shapefile, KML, MID, and others, ensuring compatibility with various GIS tools and software. This flexibility allows users to obtain data tailored to their specific project requirements.

Download Vegetation Area of any countries
Note:
  • All data is available in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users must log in to download data in their preferred format.

Step-by-Step Process to Download Vegetation Area Data

Step 2: Search for ‘Vegetation Area Data’

Upon reaching the GIS Data interface, select your desired region. Use the search layer option to find the specific data layer for “vegetation areas“. Review the data attributes, including its format as a point or polygon, to ensure it matches your project needs. For example, you can search specifically for the vegetation area of countries like USA, UK, Canada, Denmark etc.

Download Vegetation Area
Download Vegetation Area
Step 3: Try the AI Feature Tool

To further simplify the search, use the “Try AI” tool located in the upper left corner. Just input what data you need and from which area, and the AI will assist in providing the most relevant results, streamlining the data search process.

Download Vegetation Area
Step 4: Filter Data

Leverage the filter data option to refine your search by selecting specific states or districts. This feature allows for a deeper exploration of the dataset, enabling users to focus on more granular details, such as specific vegetation zones, to improve accuracy and relevance for analysis.

Download Vegetation Area
Step 5: Add on Map

Use the “Add on Map” feature in MAPOG’s GIS Data to overlay the selected data onto the Map analysis interface. This step allows for better visualization of spatial relationships and patterns, supporting comprehensive GIS projects. Users can choose to add the dataset to a new map or integrate it with an existing one.

Download Vegetation Area
Step 6: Download Data

Click on the “Download Data” button and select either a sample or the full dataset, depending on your needs. Choose the desired format—such as Shapefile, KML, GeoJSON, or one of the 15+ supported options. Agree to the terms and conditions, and click the download button again to start the download.

Download Vegetation Area

Conclusion

By using GIS Data by MAPOG, users can easily download vegetation area data in various GIS formats, ensuring access to detailed and current geographic information. This versatility supports numerous applications, from environmental conservation to land management and policy development, making it an essential tool for both GIS professionals and enthusiasts.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

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Download Political Boundary Data in Shapefile, KML, MID +15 GIS Formats

GIS Data by MAPOG is a user-friendly platform that provides seamless access to various GIS data formats, including Shapefile, KML, MID, and GeoJSON. Whether for research, mapping, or planning, users can effortlessly download political boundary data and other geographic datasets. The platform simplifies the process with step-by-step guidance, offering precise and reliable data for over 200 countries.

Political boundary data represents the borders of administrative divisions such as countries, states, and districts. This information is crucial for spatial analysis, policymaking, and resource allocation.

Download Political Boundary data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Access and Download Political Boundary Data

Step 1: Locate Political Boundary Data

Log in to GIS Data by MAPOG and navigate to the search layer option. Choose the country you want data from and search for “Political Boundary.” The tool displays details like data attributes, geometry types (points or polygons), and more.

Download Political Boundary data
Step 2: Use the AI Assistance Tool

The “Try AI” tool is your smart assistant. Simply input your desired data and area—for example, “state boundaries in Asia”—and let the AI retrieve the relevant dataset.

Step 3: Filter for Precision

The filter option refines your results by narrowing the focus to specific states, districts, or administrative divisions. This ensures you get highly relevant data for detailed analysis.

Step 4: Add to Map

The “Add on Map” feature lets you overlay political boundary data onto an analysis map. You can add it to an existing project or start a new one. This visualization helps in identifying spatial relationships and patterns effectively.

Step 5: Download in Preferred Format

Click the “Download Data” button to choose between sample or full datasets. Select from a variety of formats like Shapefile, KML, GeoJSON, or others. Accept the terms and conditions, and download your data effortlessly.

Conclusion

Downloading political boundary data with GIS Data by MAPOG is simple and efficient. With its intuitive interface and advanced tools, you can access accurate, up-to-date information tailored to your needs. Whether for analysis, policymaking, or visualization, this platform empowers GIS users with comprehensive data solutions.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats

You can easily download school data in formats like Shapefile, KML, GeoJSON, and more. Whether you’re a GIS professional, urban planner, or researcher, having accurate school data from countries like the US, France, and Japan can significantly enhance your projects.

School data is vital for projects involving educational planning, infrastructure development, or demographic analysis. In this guide, we’ll walk you through how to download school data in various GIS formats using the MAPOG GISDATA platform—a user-friendly tool that simplifies the process of finding and converting data.

Download Schools Dataset

To support different project needs, we offer a variety of data formats. These include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS.

Steps to Download Schools Data

Step 1: Open MAPOG GISDATA and Search for the Country

Begin by accessing the MAPOG GISDATA platform. Type the name of the country you need school data for, such as the United States, France, or Japan, into the search bar. This will help you quickly locate the relevant educational data.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 1: Open MAPOG GISDATA and Search for the Country
Step 2: Use the AI Search Tool to Find School Districts

MAPOG’s AI search tool helps narrow down your options. For instance, if you’re looking for school data in the USA, you can enter “California school districts” or “New York City schools.” The AI will then locate the appropriate data for you, saving time and effort.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 2: Use the AI Search Tool to Find School Districts
Step 3: Search for ‘School Data’ and Filter the Layers

Enter “School” in the search bar to bring up data related to schools, such as locations or district boundaries. You can further refine your results using the “View Filtered Layer Data” option to focus on specific details. Select “Zoom to Action” to closely examine the data and ensure it meets your needs.

Step 3: Search for ‘School Data’ and Filter the Layers
Step 3: Search for ‘School Data’ and Filter the Layers
Step 4: Add the Data to the Map for Visual Analysis

After selecting the school data, click “Add to Map.” This allows you to see the data directly on the map, where you can zoom in and explore individual schools in more detail.

Step 4: Add the Data to the Map for Visual Analysis
Step 4: Add the Data to the Map for Visual Analysis
Step 5: Download the Data

Once you’ve reviewed the data, click “Download.” Choose your preferred format—such as Shapefile, KML, or GeoJSON—and download the data for your project.

Download School Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Step 5: Download the Data

Conclusion

The MAPOG GISDATA platform makes it easy to find and download school data. Whether you’re involved in educational planning, infrastructure projects, or research, following these simple steps will help you obtain the data you need in the right format. For any assistance, feel free to reach out to us at support@mapog.com.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform po

Disclaimer: The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.

Download Hospital Data in Shapefile, KML, GeoJSON, and More – Filter and Download

MAPOG is a powerful tool that allows you to find and download hospital data for use in various mapping projects. This data can help plan healthcare infrastructure, analyze medical accessibility, and explore healthcare locations. In this guide, we will walk you through the process of downloading hospital data from MAPOG in different formats.

GIS Data is a specialized type of data that allows you to visualize and analyze geographic locations on a map. With MAPOG, you can access GIS data about hospitals, view their exact locations, and download it in various file formats to support your research or projects. MAPOG also lets you filter hospital data by region, making it easy to locate and download the specific GIS data you need for your analysis.

Note:

  • All data provided by MAPOG is in the GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • To download data in shapefile format, you will need to log in to the platform.

Hospital data is important for many sectors. It helps patients locate medical facilities, assists governments in planning healthcare infrastructure, and supports researchers in understanding healthcare accessibility. MAPOG’s GIS Data feature lets you download hospital information in a wide range of file types such as KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, DXF, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS. These formats are compatible with many programs, allowing flexibility in your work.

Step-by-Step Guide to Download Hospital Data

Step 1: Open GIS Data

Log in to MAPOG using your email. Once logged in, open the GIS Data tool. This can be found in the top navigation menu. Search for the ‘hospital data’ or select it from the available categories like hospital data for countries such as the USA, Canada, Brazil, and India.

Step 2: Select the Country and Search ‘Hospital Data’
Select your country of interest.

If you’re unsure which data to choose then the “Try AI” feature can offer smart suggestions to help you find the right information.

Step 3: Filter the Data
Use the available filters to refine the data and You can select specific regions, types of hospital, or other criteria to get the exact information you need for your project.

Step 4: Add on Map

Once you’ve filtered the data, add it to your map to visualize the hospital locations. This step helps you see exactly where the hospitals are situated.

Step 5: Download the Data

After reviewing the map, click the download button. You can choose from various formats depending on your project needs.

Hospital data includes point, line and polygon features. Point data represents the exact location of each hospital, while polygon data can show the hospital’s property boundaries. These features provide detailed information for creating accurate maps and analyses of healthcare accessibility and infrastructure planning.

Discover the MAPOG’s Map Analysis  tool, allowing you to effortlessly, Upload vector and raster files, Add WMS (Web Map Service) layers, Import Excel or CSV data, Merge and split polygons, Create new polygon and polyline data, Convert between various formats, Perform buffer analysis, Generate grids, Transform points to polygons, Calculate isochrones and support the geocoder for accurate location data.

For more information or assistance with downloading Forest data, please contact us at support@mapog.com.

Disclaimer:

The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats

You can quickly download town and city data in formats like Shapefile, KML, GeoJSON, and more. Whether you’re a GIS professional, urban planner, or researcher, detailed data from countries like the US, France, and Japan will boost your projects.

Accurate and up-to-date town, villages and city data is important for projects like urban planning, infrastructure development, and demographic studies. In this article, we’ll show you how to download Cities and Towns data in multiple GIS formats using the MAPOG GISDATA platform—a powerful tool that makes finding and converting data super easy.

Download Cities, Towns & Villages Dataset

We offer a wide range of data formats to ensure compatibility for various projects. These formats include KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS.


Steps to Download Cities, Towns & Villages Data

Step 1: Open MAPOG GISDATA and Search for the Country

Start by opening the MAPOG GISDATA platform. In the search bar, type the name of the country you need town and city data for, like the United States, France, or Japan. This will help you find the relevant urban data quickly.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats

Open MAPOG GISDATA and Search for the Country
Step 2: Use the AI Search Tool to Find USA Counties or States

MAPOG’s AI search tool is a great way to narrow your search. For example, if you’re looking for specific data within the USA, you can type something like “California counties” or “New York state.” The AI tool will find the relevant data for those areas, saving you time.

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Use the AI Search Tool to Find USA Counties or States
Step 3: Search for ‘Town and City Data’ and Filter the Layers

In the search bar, type “Town” or “City” to pull up urban data such as city boundaries or town limits. You can refine your search by using the “View Filtered Layer Data” option to zoom in on specific features. Click “Zoom to Action” to view the data in detail and ensure it fits your needs

Download Cities, Towns & Villages Data in Shapefile, KML, GeoJSON + 15 GIS Formats
Search for ‘Town and City Data’ and Filter the Layers
Step 4: Add the Data to the Map for Visual Analysis

Once you’ve selected the town or city data, click “Add to Map.” This will allow you to visualize the data directly on the map. You can zoom in and explore specific towns or cities in more detail.

Add the Data to the Map for Visual Analysis
Add the Data to the Map for Visual Analysis
Step 5: Download the Data

After reviewing the data, simply click “Download.” You can choose your preferred format—Shapefile, KML, GeoJSON, or any of the other available formats—and download the data for your project.

Download the Data
Download the Data

Conclusion

The MAPOG GISDATA platform makes accessing and downloading town and city data quick and easy. Whether you’re working on urban planning, infrastructure projects, or research, these simple steps will help you get the data you need in the format that works best for you. If you need assistance, feel free to contact us at support@mapog.com.

With MAPOG’s powerful tools, you can also upload vector and raster files, add WMS layers, import Excel or CSV data, and even convert different data formats to suit your needs.

Disclaimer: The GIS data provided for download in this article was originally sourced from OpenStreetMap (OSM) and modified to improve usability. The original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. Any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information, please visit OpenStreetMap’s License Page.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.

Download Tourism Data in Shapefile, KML , GeojSON +15 GIS format – Filter & download

MAPOG is a powerful tool that helps you find and download tourism-related data. This data can be used to create maps, plan trips, and explore various locations. In this guide, we will show you how to download tourism data from MAPOG in multiple formats.

GIS Data is a type of data that helps you visualize and analyze geographical locations on a map. With MAPOG, you can access GIS data that includes tourism information, such as tourist spots, hotels, and transportation. This data can be downloaded in different formats to use in your mapping projects or research. MAPOG also allows you to search for specific layers and filter data by region or state, making it easy to find the exact tourism data you need.

Note:

  • All data provided by MAPOG is in the GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • To download data in shapefile format, you will need to log in to the platform.

Tourism data is essential for many reasons. It helps travelers plan their trips by identifying key attractions, routes, and accommodations. Businesses and planners can also use this data to analyze tourist trends and optimize services. With MAPOG GIS Data, you can download tourism information in various formats such as KML, SHP, CSV, GeoJSON, and more, allowing you to work with different programs for your project or analysis.

Step-by-Step Guide to Download Tourism Data

Step 1: Open GIS Data
Log in to MAPOG with your email address. Once logged in, access the GIS Data tool from the top navigation menu. You can search for the forest data category or use the search bar to find the specific data you need, like tourism data for countries such as the USA, Canada, Brazil, and India.

Step 2: Select the Country and Search ‘tourism Data’
Select your country of interest.

If you’re unsure which data to choose then the “Try AI” feature can offer smart suggestions to help you find the right information.

Step 3: Filter the Data
Use the available filters to refine the data and You can select specific regions, types of tourism, or other criteria to get the exact information you need for your project.

Step 4: Add to Map
Once you’ve filtered the data, add it to your map. This will display the tourism locations, helping you visualize their distribution on the map.

Step 5: Download the Data
After reviewing the map, click the download button to save the data. You can choose from various file formats to suit your project requirements.

Tourism data in MAPOG includes both point and polygon features. Point data represents individual locations such as tourist attractions, while polygon data outlines areas like parks or historical sites. These features help create detailed maps for better trip planning or analysis.

Discover the MAPOG’s Map Analysis  tool, allowing you to effortlessly, Upload vector and raster files, Add WMS (Web Map Service) layers, Import Excel or CSV data, Merge and split polygons, Create new polygon and polyline data, Convert between various formats, Perform buffer analysis, Generate grids, Transform points to polygons, Calculate isochrones and support the geocoder for accurate location data.

For more information or assistance with downloading Forest data, please contact us at support@mapog.com.

Disclaimer:

The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Download Nature Reserve Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is a user-friendly platform that provides access to diverse GIS Data formats like Shapefile, KML, and GeoJSON. It allows users to download nature reserve data efficiently, including administrative and geographic details for precise mapping and analysis. This feature supports users in exploring and preserving nature reserves globally.

How It Works

MAPOG simplifies the process of downloading nature reserve data by providing step-by-step guidance. It offers over 200 countries’ datasets and 900+ layers in multiple formats, making it adaptable to various GIS tools and workflows.

The platform supports a wide array of formats, such as KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, and MID. This ensures compatibility with different applications and enhances accessibility for GIS users.

Download Nature Reserve data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Nature Reserve Data

Step 1: Locate Nature Reserve Data

Log in and access the GIS Data interface. Select your desired country. Use the search bar to find “Nature Reserve Data.” Review attributes like point or polygon format to ensure the dataset fits your needs.

Nature Reserve Data
Download Nature Reserve data
Step 2: Simplify Search with AI

Use the “Try AI” tool for a smarter search. Input the specific data and location you’re looking for, and let AI provide instant results.

Nature Reserve Data
Step 3: Refine Search with Filters

Apply filters to narrow down data by state or district. This feature makes it easy to pinpoint exact locations and ensures precision for your analysis or mapping projects.

Nature Reserve Data
Step 4: Add Data to Map

Use the “Add on Map” option to overlay selected data onto a Map analysis. You can either start a new map or enhance an existing one. This feature enables in-depth analysis of spatial patterns and relationships.

Nature Reserve Data
Step 5: Download Data

Click the “Download Data” button. Choose between sample data or the full dataset. Select your desired format, such as Shapefile, KML, or MID. Agree to the terms, confirm the download, and the data is yours.

Nature Reserve Data

Conclusion

Downloading nature reserve data using GIS Data by MAPOG is quick and straightforward. The platform provides detailed and accurate datasets in 15+ formats for tasks like conservation planning, environmental studies, or resource management. It’s a must-have tool for anyone working with GIS.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster filesadd WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysiscreate gridstransform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Rescue Shelters Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is an easy-to-use platform that provides access to a variety of GIS Data formats, including Shapefile, KML, and GeoJSON. Users may download rescue shelter data with ease because to its user-friendly interface, which makes it possible to map and analyse shelter sites globally in great detail. The platform streamlines the process of obtaining precise data, whether for resource allocation or emergency preparation.

How It Works

By offering detailed instructions, MAPOG simplifies the download of rescue shelter data. For smooth interaction with GIS tools, users can examine shelter data in multiple formats, including KML, SHP, MID, and more, with access to more than 200 nations and 900+ layers.

Download Rescue Shelters data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download Rescue Shelters Data

Step 1: Search for Rescue Shelters Data

To locate information about “rescue shelters“, use the search function. After choosing your preferred nation, examine data features such as polygons or points.

Rescue Shelters Data
Download Rescue Shelters data
Step 2: Utilize the AI Tool

The “Try AI” feature simplifies searches. Enter the type of data you need and the location. The AI tool will fetch relevant results instantly.

Rescue Shelters Data
Step 3: Refine with Filters

Use the filter option to narrow results by state or district. This ensures precision by focusing on specific regions, enhancing relevance for your project.

Rescue Shelters Data
Step 4: Add Data to Map

Overlay the selected data onto the map using the “Add on Map” option. Add layers to a map for better visualization and analysis.

Rescue Shelters Data
Step 5: Download the Data

Click “Download Data” and select either sample or full data. Choose from formats like Shapefile, KML, or any of the 15+ options. Agree to terms and conditions and complete the download.

Rescue Shelters Data

Conclusion

Downloading rescue shelter data is quick and simple with GIS Data from MAPOG. Strategic planning and emergency response are only two of the many uses for its many formats and user-friendly features. With just a few simple steps, you may obtain precise shelter data and easily streamline your GIS applications.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download ATM Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

GIS Data by MAPOG is an easy-to-use platform that provides smooth access to a variety of GIS Data formats, including Shapefile, KML, and GeoJSON. Users can receive precise administrative and geographic datasets for mapping and analysis thanks to its simplified download method for ATM data. With more than 900 layers and more than 200 nations, MAPOG guarantees accessibility and thorough coverage for a wide range of GIS applications.

Understanding ATM Data

ATM data provides precise locations of ATMs worldwide. This data is crucial for banking analysis, customer access studies, and urban planning. Users can leverage it to visualize and analyze ATM distribution patterns and accessibility.

Download ATM data of any countries

Note:
  • All data is provided in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • Users need to log in to access and download their preferred data formats.

Step-by-Step Guide to Download ATM Data

Step 1: Locate Your Data

After logging into MAPOG, open the GIS Data interface. Use the search tool to find the “ATM Data” layer. Explore its attributes, format (point or polygon), and coverage.

Download ATM Data
Download ATM data
Step 2: Use the “Try AI” Tool

Simplify your search with the “Try AI” feature. Enter your query, such as “ATM locations in urban areas,” and let the AI fetch the results.

Download ATM Data
Step 3: Apply Filters

Refine your results by selecting specific states or districts. This helps narrow down data to precise locations for targeted analysis.

Download ATM Data
Step 4: Visualize on Map

The “Add on Map” feature lets you integrate the selected ATM data into a new or existing map. This visualization supports better spatial analysis and planning.

Download ATM Data
5. Download Your Data

Click “Download Data” and choose between sample or full datasets. Select your desired format—Shapefile, KML, GeoJSON, or others. Agree to the terms, then download your file for immediate use.

Download ATM Data

Conclusion

Downloading ATM data is quick and easy with GIS Data by MAPOG. Its variety of formats guarantees compatibility with GIS tools, supporting a range of applications such as financial planning, urban development, and network optimization. For professionals that require accurate and easily available GIS data, this robust platform is indispensable.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform polyline splitting, use the converter for various formats, calculate isochrones, and utilize the Export Tool.

For any questions or further assistance, feel free to reach out to us at support@mapog.com. We’re here to help you make the most of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

Here are some blogs you might be interested in:

Download Road Data in Shapefile, KML, GeoJSON, and 15+ GIS Formats

Accessing road data in Shapefile, KML, GeoJSON, and over 15 other GIS formats has never been easier. Whether you need data for local roads, major highways, or anything in between, we’ve got you covered.

Having reliable and detailed road data is crucial for anyone working in GIS, urban planning, or research. Accurate road information helps in transportation studies, infrastructure development, and many other mapping projects. In this guide, I’ll walk you through how to download road data in the format that best suits your needs, including Shapefile, KML, GeoJSON, and a variety of others, all using the MAPOG GIS DATA platform—a handy tool that makes finding GIS data straightforward.

Download Road Data

We offer road data in a wide range of formats to fit different project requirements. Whether you’re looking for data in KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, or GPS, we ensure that you have the flexibility and compatibility you need for your analyses. This includes everything from local streets to extensive highway networks.

Steps to Download Road Data

Step 1: Start with the MAPOG GISDATA Tool

First, head over to the MAPOG GISDATA platform. Enter the country’s name in the search bar to find the specific road data you need. Whether it’s for city streets or national highways, this step helps you quickly zero in on the data relevant to your project.

Download Road Data in Shapefile, KML, GeoJSON, and 15+ GIS Formats
Start with the MAPOG GISDATA Tool

Step 2: Search for ‘Road Data’

Type “Road” into the search bar. The platform will show you a variety of available data, from simple road networks to more detailed highway information. Choose the dataset that matches what you’re working on.

Download Road Data in Shapefile, KML, GeoJSON, and 15+ GIS Formats
Search for ‘Road data’

Step 3: Visualize the Data

After selecting your road data, hit “Add to Map.” This feature allows you to see the data laid out on a map, making it easy to examine specific areas, zoom in on key features, and ensure that the data aligns with your project’s needs.

Download Road Data in Shapefile, KML, GeoJSON, and 15+ GIS Formats
Visualize the Data

Step 4: Download the Data

Once you’re satisfied with what you see, it’s time to download. Click the “Download” button and pick your preferred format—whether that’s Shapefile, KML, GeoJSON, or another option. This flexibility means you can choose the format that integrates best with your existing tools and workflows.

Download the Data
Download the Data

Conclusion

Getting hold of road data, including detailed highway information, is essential for many GIS projects, and the MAPOG GISDATA platform makes the process smooth and efficient. By following these steps, you’ll have the data you need in the format that’s right for your work, whether you’re planning new infrastructure, analyzing traffic patterns, or mapping out transportation networks.

Disclaimer: The GIS data provided for download in this article was initially sourced from OpenStreetMap (OSM) and further modified to enhance its usability. Please note that the original data is licensed under the Open Database License (ODbL) by the OpenStreetMap contributors. While modifications have been made to improve the data, any use, redistribution, or modification of this data must comply with the ODbL license terms. For more information on the ODbL, please visit OpenStreetMap’s License Page.

If you need any help along the way or have questions, don’t hesitate to reach out to us at support@mapog.com. We’re here to ensure you get the most out of your GIS data.

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Croatia
  41. Chile
  42. Norway
  43. Maldives
  44. Bhutan
  45. Colombia
  46. Libya
  47. Comoros
  48. Hungary
  49. Laos
  50. Estonia
  51. Iraq
  52. Portugal
  53. Azerbaijan
  54. Macedonia
  55. Romania
  56. Peru
  57. Marshall Islands
  58. Slovenia
  59. Nauru
  60. Guatemala
  61. El Salvador
  62. Afghanistan
  63. Cyprus
  64. Syria
  65. Slovakia
  66. Luxembourg
  67. Jordan
  68. Armenia
  69. Haiti And Dominican Republic
  70. Malta
  71. Djibouti
  72. East Timor
  73. Micronesia
  74. Morocco
  75. Liberia
  76. Kosovo
  77. Isle Of Man
  78. Paraguay
  79. Tokelau
  80. Palau
  81. Ile De Clipperton
  82. Mauritius
  83. Equatorial Guinea
  84. Tonga
  85. Myanmar
  86. Thailand
  87. New Caledonia
  88. Niger
  89. Nicaragua
  90. Pakistan
  91. Nepal
  92. Seychelles
  93. Democratic Republic of the Congo
  94. China
  95. Kenya
  96. Kyrgyzstan
  97. Bosnia Herzegovina
  98. Burkina Faso
  99. Canary Island
  100. Togo
  101. Israel And Palestine
  102. Algeria
  103. Suriname
  104. Angola
  105. Cape Verde
  106. Liechtenstein
  107. Taiwan
  108. Turkmenistan
  109. Tuvalu
  110. Ivory Coast
  111. Moldova
  112. Somalia
  113. Belize
  114. Swaziland
  115. Solomon Islands
  116. North Korea
  117. Sao Tome And Principe
  118. Guyana
  119. Serbia
  120. Senegal And Gambia
  121. Faroe Islands
  122. Guernsey Jersey
  123. Monaco
  124. Tajikistan
  125. Pitcairn

Disclaimer : If you find any shapefile data of country provided is incorrect do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in openstreetmap.