Download Animal Shelter Data (Shapefile, KML, CSV, GeoJSON) – MAPOG GIS Guide

Looking to download animal shelter data for mapping, emergency response, or urban planning? GIS Data by MAPOG makes it simple and efficient. With access to a wide range of GIS formats including Shapefile, KML, MID, GeoJSON, and more, this platform offers structured, reliable shelter datasets. Whether you’re involved in disaster preparedness, public welfare, or environmental studies, MAPOG provides detailed animal shelter data ready for integration into any GIS workflow.

How to Download Animal Shelter Data

MAPOG’s user-friendly interface makes accessing shelter data intuitive. With support for over 15+ GIS formats like KML, SHP, DXF, CSV, MIF, SQL, and TOPOJSON, users can easily integrate the data into their preferred GIS software.

Download Animal Shelter 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 Shelter Datasets

Step 1: Search for Animal Shelter Layers

After coming in MAPOG interface click on Process data and under add upload data section , select GIS data. Begin by selecting your region of interest. Use the search tool to locate “Animal Shelter Data.” Check if the data is available as points or polygons based on your mapping needs.

Download Animal Shelter Data
Download Animal Shelter Data
Step 2: Utilize the AI Search Tool

With MAPOG’s “Try AI” feature, typing phrases like “shelters near me” or “animal shelters in [location]” brings up the most relevant layers. This smart search saves time and improves result accuracy.

Download Animal Shelter Data
Step 3: Filter by Region

Narrow your search using the Filter Data tool. You can refine data by state and district, helping you target shelter locations with high precision and localized relevance.

Download Animal Shelter Data
Step 4: Add Data to Map

Click “Add on Map” to visualize your selected data. This interactive mapping view aids in analyzing shelter distribution, access routes, and potential coverage gaps.

Download Animal Shelter Data
Step 5: Download Animal Shelter Data

Once finalized, click “Download Data.” Choose between sample or full data and select the desired format—Shapefile, KML, MID, or others. Accept the terms, and your download is ready.

download in any format

Final Thoughts

To sum up, MAPOG simplifies the entire process to download animal shelter data, making it accessible for both professionals and hobbyists. With detailed, ready-to-use shelter datasets in multiple formats, you’re equipped for better planning, research, and humane response strategies.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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.

❓ Frequently Asked Questions (FAQ) on Animal Shelter GIS Data

1. Where can I download animal shelter data for GIS mapping?

You can download animal shelter GIS data from MAPOG Dashboard. The platform provides structured datasets in formats like Shapefile, KML, GeoJSON, MID, and CSV, making it compatible with most GIS software.

2. Which GIS formats are available for animal shelter data?

MAPOG supports over 15+ GIS formats, including SHP, KML, CSV, GeoJSON, DXF, SQL, MID/MIF, and TOPOJSON. All data is provided in EPSG:4326 WGS84 CRS for global compatibility.

3. How do I filter animal shelter data by region?

Using MAPOG’s Filter Data tool, you can refine shelter data by country, state, or district. This ensures that planners, researchers, and NGOs get localized datasets for accurate analysis.

4. Can I preview animal shelter locations before downloading?

Yes. MAPOG allows users to click “Add on Map” to visualize animal shelter locations before downloading. This helps in identifying distribution patterns, accessibility routes, and service gaps.

5. Who can use animal shelter GIS data?

Animal shelter datasets are useful for:

  • Urban planners – designing welfare infrastructure.
  • Disaster response teams – locating shelters during emergencies.
  • NGOs & researchers – studying animal welfare and public health.
  • Government agencies – planning and monitoring community services.

6. Do I need to create an account to download animal shelter data?

Yes. Users need to log in to MAPOG to access and download full datasets in their preferred format.

7. Is the animal shelter data free?

MAPOG provides both sample datasets and full datasets. Sample data is often free, while full datasets may require access permissions or subscription depending on the coverage and format.

👉 Ready to explore? Get started here: Download Animal Shelter 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 Settlements Polygon Data in Shapefile, KML, MID +15 GIS Formats

Looking to map residential patterns or study human settlements with precision? Download Settlements Polygon Data easily using GIS Data by MAPOG—a robust platform that offers access to well-structured spatial datasets in over 15 GIS-supported formats such as Shapefile, KML, MID, GeoJSON, and more. Whether you’re planning urban infrastructure, conducting demographic analysis, or working on environmental studies, MAPOG’s detailed settlement polygons allow you to explore populated areas with accuracy and clarity.

How It Works – A Smart, Streamlined Process

GIS Data by MAPOG is designed with user experience in mind, offering a quick and intelligent way to access settlement boundaries from a massive database covering 900+ layers. You can Download Settlements Polygon Data in multiple formats including KML, SHP, CSV, SQL, DXF, MIF, and GPX. Whether you’re a professional, student, or policy planner, the platform ensures that you get high-quality data ready for integration into any GIS software.

Download Settlements Polygon 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 Settlements Polygon Data

Step 1: Search for Settlement Layers

Begin by selecting your area of interest within the MAPOG interface. Use the search bar to locate “Settlements Polygon” layers. You’ll be able to check attributes such as population details, area, and density coverage.

Download Settlements Polygon Data
Download Settlements Polygon Data

The built-in “Try AI” feature can instantly fetch the most relevant datasets. Just type phrases like “Residential areas polygon” or “Settlements in a region,” and let the AI deliver accurate results without the hassle of manual browsing.

Download Settlements Polygon Data
Step 3: Filter the Data for Precision

Narrow down your results using the Filter Data option. Whether you’re looking for settlement data in a specific district or state, this feature ensures you’re only working with the most relevant polygons.

Download Settlements Polygon Data
Step 4: Add Data to Map for Live Visualization

Click on the “Add on Map” button to overlay your selected dataset onto the analysis interface. This allows you to visualize the shape and spread of settlements in real time, compare multiple layers, or assess accessibility and proximity to other features.

Download Settlements Polygon Data
Step 5: Download in Your Preferred Format

Once satisfied with the dataset, proceed to download. Choose a sample or full version, select your required format—whether it’s Shapefile, KML, MID, or any of the supported 15+ options—agree to the terms, and initiate your download.

Download Settlements Polygon Data

Final Thoughts

MAPOG makes it remarkably simple to Download Settlements Polygon Data for a wide range of GIS applications. The combination of smart search tools, flexible download formats, and interactive mapping ensures that your workflow remains efficient and insightful. Whether you’re building a city model, conducting a field study, or managing a development project, MAPOG gives you access to settlement polygons that are accurate, reliable, and ready to use.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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 Townhall Data in Shapefile, KML, GeoJSON & More for Urban Planning and Governance

Need accurate and structured data for administrative infrastructure? Download Townhall Data easily using GIS Data by MAPOG — a robust platform designed to support urban planning, governance, and civic infrastructure analysis. Townhalls, as administrative buildings for local governments, play a crucial role in managing civic services, hosting council meetings, and engaging with citizens. With MAPOG, accessing geospatial datasets of townhall locations becomes smooth, reliable, and highly customizable, thanks to its support for over 15 GIS formats including Shapefile, KML, GeoJSON, and MID.

Why Use MAPOG to Download Townhall Data?

GIS Data by MAPOG is built to simplify geospatial data collection. It caters to planners, researchers, civic authorities, and GIS professionals by offering downloadable datasets that align with various GIS software. Whether you’re working on a local governance project, spatial urban study, or service accessibility model, you can download Townhall Data from MAPOG in your preferred format with ease.

Download Townhall 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 Townhall Data

Step 1: Search for Townhall Data

To get started, navigate to GIS Data by MAPOG and use the search feature to locate “Townhall Data.” Each layer comes with rich metadata — you can quickly identify if the data is in point, polygon, or multipoint format based on the available attributes.

Download Townhall Data
Download Townhall Data

Not sure where to look? MAPOG offers an AI-assisted search feature called “Try AI.” Just type queries like “Townhall locations” or “Townhall data for selected area” and let the AI engine retrieve the most relevant datasets. This reduces search time and increases accuracy in dataset discovery.

Download Townhall Data
Step 3: Filter by Region

The Filter Data option helps users refine their search further. You can narrow datasets down by selecting specific states, districts, or city levels. For instance, if the main dataset covers an entire country or region, this tool allows you to extract more localized information relevant to your analysis.

Download Townhall Data
Step 4: Visualize Using “Add on Map”

The “Add on Map” button lets you overlay selected townhall datasets directly on the GIS interface. This helps you visualize their geographic distribution and spatial relationships instantly. It’s a crucial step for those who want to examine patterns, density, or service coverage zones before downloading the files.

Download Townhall Data
Step 5: Download Townhall Data

Once the appropriate dataset is selected and verified on the map, proceed to download. You can choose between a sample version or full dataset. Then, pick the file format you need — such as Shapefile, KML, GeoJSON, MID, or others — agree to the usage terms, and download with a single click. The files are instantly ready for integration into your GIS workflow.

Download Townhall Data

Final Thoughts

Whether you’re an urban planner, public policy researcher, GIS analyst, or a civic tech innovator, having access to structured, multi-format administrative location data is vital. Thanks to GIS Data by MAPOG, the process to download Townhall Data is both accessible and intuitive. Its smart search tools, data filters, and visualization options make it a go-to resource for high-quality, location-based datasets.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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 Forest Boundary Data in Multiple GIS Formats with Ease

Looking to Download Forest Boundary Data in multiple GIS-compatible formats? GIS Data by MAPOG makes this process intuitive and efficient. Whether you’re working on ecological research, forest management, biodiversity planning, or land-use studies, MAPOG provides well-structured and detailed forest boundary datasets. The platform supports over 15+ GIS formats, including Shapefile, KML, GeoJSON, MID, and more—ensuring flexibility across different mapping software and analytical tools.

How to Download Forest Boundary Data

GIS Data by MAPOG simplifies your workflow by offering access to over 900+ data layers from across the globe. From small patches of forest to extensive woodland zones, the platform enables users to Download Forest Boundary Data accurately and efficiently.

Download Forest 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 Download Forest Boundary Data

Step 1: Search for Forest Boundary Data

Begin by going to process data and select GIS Data & selecting your area of interest in the MAPOG interface. Use the search bar or layer tool to look for “Forest Boundary Data” datasets. The metadata will help you verify if the data is in polygon format—ideal for forest mapping.

Download Forest Boundary Data
Step 2: Try the AI Search Tool

Leverage MAPOG’s “Try AI” feature for smart, faster search results. Just type in terms like “forest areas in any specific region” and the system will automatically suggest the most relevant datasets. This reduces manual effort and increases efficiency in data discovery.

Step 3: Filter by State or District

Use the “Filter Data” tool to narrow down your search to specific states or districts. This feature is especially useful for detailed, localized forest planning, letting you drill deeper into regional datasets and gain more accurate insights.

Step 4: Visualize with ‘Add on Map’

Click “Add on Map” to instantly view your selected forest boundary layer on MAPOG’s interactive map interface. This step helps in spatial analysis, making it easier to assess forest coverage, proximity to urban zones, or environmental impact areas.

Step 5: Download the Dataset

Once you’ve reviewed and selected your data, click “Download Data.” Choose between sample or full datasets. Select your desired format—Shapefile, KML, MID, or others—agree to the usage terms, and initiate the download.

Final Thoughts

The ability to Download Forest Boundary Data in a variety of GIS formats from MAPOG offers a streamlined experience for researchers, planners, and environmental experts alike. With its rich features like smart AI search, data filtering, and visualization tools, GIS Data by MAPOG turns a once-complex task into a straightforward, efficient process. Explore, analyze, and act confidently with accurate forest boundary data at your fingertips.

With MAPOG’s versatile toolkit, you can effortlessly upload vector and upload Excel or CSV data, incorporate existing layers, perform Split polygon by line, 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 Golf Courses Data in Shapefile, KML, MID +15 GIS Formats

Looking to download golf courses data for mapping, planning, or recreational analysis? GIS Data by MAPOG offers a simple and efficient way to access detailed datasets of golf course locations worldwide. These data are available in a wide range of GIS formats—Shapefile, KML, GeoJSON, MID, and more—making them compatible with various geospatial tools. Whether you’re working on a tourism project, land-use planning, or environmental study, MAPOG provides curated and structured datasets that support accurate and insightful mapping.

How to Download Golf Courses Data

GIS Data by MAPOG streamlines the process through a user-friendly interface offering over 900+ layers across 200+ regions. Formats like SHP, KML, MID, CSV, DXF, GPX, SQL, and TOPOJSON are supported, allowing professionals to select the format that works best with their GIS environment.

Download Golf Courses 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 Golf Courses Data

Step 1: Search for Golf Courses Data

Start by entering “Golf Courses Data” into the search layer box. You can also select your desired region or area of interest. MAPOG will display whether the data is point-based (location pins) or polygon-based (area outlines).

Download Golf Courses Data
Download Golf Courses Data
Step 2: Use the AI Search Tool

Accelerate your search using MAPOG’s built-in AI assistant. Just type phrases like “golf courses near area” or “golf facilities data,” and the AI will return the most relevant results—quickly and accurately.

Download Golf Courses Data
Step 3: Filter Your Data

Use the Filter Data option to narrow your search based on district or state. This is especially useful when working with country-level datasets and needing granular insights at regional or local levels.

Download Golf Courses Data
Step 4: Visualize with “Add on Map”

With the “Add on Map” feature, overlay the selected golf course layer onto the interactive GIS interface. This step allows you to visually analyze golf course distribution, proximity to urban areas, or potential environmental impact zones.

Download Golf Courses Data
Step 5: Download the Data

Once you’re ready, hit the “Download Data” button. Choose from sample or full datasets, select the appropriate format (such as Shapefile, KML, MID, etc.), accept the terms, and begin your download.

Download Golf Courses Data

Final Thoughts

In just a few clicks, users can download golf courses data tailored to their project’s scope and format needs. Whether you’re creating tourism maps, studying land use, or analyzing recreational infrastructure, MAPOG’s GIS Data platform provides flexible and comprehensive data access. Dive into rich geospatial insights with MAPOG and take your golf course mapping to the next level.

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 Doctor’s Office Data in Shapefile, KML, MID +15 GIS Formats

Need accurate and accessible healthcare location data? Download Doctor’s Office Data with ease using the GIS Data by MAPOG platform. Known for its intuitive interface and wide format support—including Shapefile, KML, MID, GeoJSON, and more—MAPOG offers structured, up-to-date geographic datasets tailored for mapping and spatial analysis. Whether you’re working on healthcare planning, accessibility research, or infrastructure development, MAPOG simplifies access to data on doctor’s offices with precision and flexibility.

How to Download Doctor’s Office Data

MAPOG streamlines the process, offering access to over 900+ GIS layers, including health infrastructure data like doctor’s offices. The platform supports more than 15 export formats—such as KML, SHP, MID, CSV, GeoJSON, SQL, DXF, GPX, TOPOJSON, and MIF—making it an excellent tool for professionals, students, and researchers alike.

Download Doctor’s Office 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 Doctor’s Office Data

Step 1: Search for Doctor’s Office Data

Begin by typing “Doctor’s Office Data” into the search layer field. You can view metadata, including geometry type (points or polygons), and check attribute details before proceeding.

Download Doctor's Office Data
Download Doctor’s Office Data
Step 2: Try the AI Search Tool

Use MAPOG’s “Try AI” feature to simplify your search. Just enter queries like “Doctor’s Offices in zone,” and the AI tool will smartly fetch the most relevant datasets. This intelligent feature reduces manual effort and enhances data discovery.

Download Doctor's Office Data
Step 3: Filter Your Data by Region

To further narrow down your results, use the Filter Data option. This lets you filter datasets by state and district—especially useful when working with national-level data and needing local insights for planning and analysis.

Download Doctor's Office Data
Step 4: Visualize with the ‘Add on Map’ Tool

Before downloading, visualize your selected dataset using the Add on Map function. This allows you to interact with the data directly on the map, helping you analyze spatial distribution, proximity to other features, and regional coverage in real time.

Download Doctor's Office Data
Step 5: Download Doctor’s Office Data

Once your layer is ready, hit the “Download Data” button. Choose your desired format—whether it’s Shapefile, KML, MID, or another supported option—agree to the terms, and start your download. You can also preview a sample version before committing to a full dataset.

Download Doctor's Office Data

Final Thoughts

With GIS Data by MAPOG, the task to Download Doctor’s Office Data becomes seamless and efficient. The platform empowers users with customizable, multi-format datasets that are crucial for health sector mapping and development. Whether you’re conducting academic research, urban analysis, or policy planning, this comprehensive tool helps you uncover meaningful spatial patterns and support data-driven decisions.

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 Tunnels Data in Shapefile, KML, MID +15 GIS Formats and Create Map

Need accurate and structured tunnel location data? Download Tunnels Data with ease using GIS Data by MAPOG—a powerful and intuitive platform built to support GIS professionals, urban planners, engineers, and researchers. With support for 15+ popular formats including Shapefile, KML, MID, and GeoJSON, MAPOG makes tunnel data accessible, precise, and compatible with a wide range of GIS tools. Whether you’re analyzing underground infrastructure, transport networks, or safety zones, MAPOG offers reliable tunnel datasets that streamline your mapping and spatial analysis workflows.

How to Download Tunnels Data

GIS Data by MAPOG brings a guided, hassle-free experience to users aiming to Download Tunnels Data. The platform includes 900+ data layers and supports formats like SHP, KML, GeoJSON, MID, CSV, SQL, DXF, MIF, GPX, and TOPOJSON. Its interface is built for both beginners and experts looking for scalable data from global tunnel infrastructures.

Download Tunnels 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 Tunnels Data

Step 1: Search for Tunnels Data

Start by entering “Tunnels” into the MAPOG search bar. You can navigate to the tunnel data layer and review its geometry type—whether it’s represented as lines or polygons. Attributes like tunnel type, length, usage, and status are also typically included.

Download Tunnels Data
Download Tunnels Data
Step 2: Use AI Search Tool

Harness the power of the “Try AI” tool for quicker searches. Just type in something like “Tunnels in industrial zones” and let the AI engine return curated datasets in seconds. It’s an efficient alternative to manual browsing, saving time and improving accuracy.

Download Tunnels Data
Step 3: Apply Data Filters

For more specific results, use the “Filter Data” option. Narrow your search by state or district to focus only on tunnel networks in your area of interest. This is especially useful when working with dense infrastructure datasets.

Download Tunnels Data
Step 4: Visualize with ‘Add on Map’

By selecting “Add on Map,” users can directly overlay the tunnel layer on the interactive map viewer. This lets you perform spatial analysis, observe network connectivity, assess proximity to key areas, and prepare detailed visual reports.

Download Tunnels Data
Step 5: Download Tunnels Data

Once your dataset is selected and reviewed, click on “Download Data.” Choose whether you want a sample or full dataset. Select from Shapefile, KML, MID, GeoJSON, or any of the other supported formats, accept the terms, and proceed to download.

Download Tunnels Data

Final Thoughts

With GIS Data by MAPOG, the ability to Download Tunnels Data becomes straightforward, flexible, and reliable. Whether you’re designing infrastructure projects or conducting academic research, this platform equips you with high-quality tunnel data in multiple GIS-ready formats. Explore, filter, visualize, and download—MAPOG simplifies every step of your data journey.

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 Truck Stops Data in Shapefile, KML, MID +15 GIS Formats

Looking to Download Truck Stops Data for logistics planning, infrastructure development, or transportation analysis? GIS Data by MAPOG offers a seamless way to access truck stop locations in over 15+ widely used GIS formats, including Shapefile, KML, GeoJSON, and MID. Truck stops serve as vital rest, refuel, and maintenance points for long-haul drivers—making their data essential for route optimization, safety planning, and supply chain mapping. With MAPOG’s intuitive platform, users can obtain structured, up-to-date datasets for easy integration into their GIS workflows.

How MAPOG Simplifies the Download Process

Whether you’re analyzing transport corridors or enhancing commercial route planning, MAPOG makes it simple. The platform supports formats such as SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—ensuring compatibility with most GIS software. Designed for professionals, researchers, and decision-makers, it lets users Download Truck Stops Data across multiple administrative levels with just a few clicks.

Download Truck Stops 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 Truck Stops Data

Step 1: Search for Truck Stops Data

Begin by opening GIS Data by MAPOG and entering the search term “Truck Stops Data.” The dataset usually appears in point format with attributes such as facility type, capacity, and service availability.

Download Truck Stops Data
Download Truck Stops Data
Step 2: Try the AI Search Tool

Speed up your search using the “Try AI” feature. Just type in phrases like “truck rest points” or “highway truck facilities,” and the AI will instantly fetch relevant data layers. This smart tool minimizes manual filtering and boosts accuracy.

Download Truck Stops Data
Step 3: Filter the Data for Precision

Narrow your search using the Filter Data feature. You can drill down by state and district to focus on specific geographic areas. Especially when working with large-scale datasets, this function enhances relevance and efficiency.

Download Truck Stops Data
Step 4: Use “Add on Map” for Visual Analysis

Click “Add on Map” to overlay your selected data on the live analysis map. This allows you to visualize truck stop density, proximity to highways, and spatial patterns—helpful in logistics planning and field research.

Download Truck Stops Data
Step 5: Download Truck Stops Data

Once you’re satisfied with the layer, proceed to download it. Choose between a sample or the full dataset, pick your preferred format (SHP, KML, MID, etc.), agree to the terms, and start the download. It’s that straightforward.

Download Truck Stops Data

Final Thoughts

With GIS Data by MAPOG, the ability to download Truck Stops Data in multiple GIS formats becomes fast, efficient, and adaptable to any project need. Whether you’re mapping regional logistics hubs or analyzing highway infrastructure, MAPOG’s tools give you the depth, accuracy, and flexibility to make informed decisions. From planners to GIS enthusiasts, anyone can benefit from this rich and accessible data source.

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 Rental Car Services Data in Shapefile, KML, MID +15 GIS Formats Using GIS Data by MAPOG

Need accurate and ready-to-use rental car services data? Download Rental Car Services Data effortlessly with GIS Data by MAPOG—a powerful and intuitive platform that supports more than 15 GIS formats including Shapefile, KML, GeoJSON, and MID. Whether you’re working on transportation planning, urban mobility studies, or commercial mapping projects, this platform gives you access to structured, updated geographic datasets for seamless integration and analysis.

How to Download Rental Car Services Data

GIS Data by MAPOG simplifies the entire process, offering easy access to rental car service layers across thousands of locations. Supporting a wide range of export formats—such as SHP, KML, CSV, MID, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—the platform ensures compatibility across all major GIS tools, whether desktop or web-based.

Download Rental Car Services 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 Rental Car Services Data

Step 1: Search for Rental Car Services Data

Start by selecting your area of interest within the MAPOG platform. Use the search tool and type “Rental Car Services Data” to view relevant datasets. Check the attributes to confirm whether the layer consists of points or polygons, depending on how the data is mapped.

Download Rental Car Services Data
Download Rental Car Services Data

Leverage the “Try AI” option to make your search smarter and faster. Simply enter keywords like “rental car pickup points” or “car hire zones,” and MAPOG’s AI engine fetches datasets that match your needs instantly.

Download Rental Car Services Data
Step 3: Apply State and District Filters

The Filter Data option allows you to narrow down data results based on specific states and districts. If your dataset spans a large region, this tool becomes crucial in zooming into local-level insights, making your maps more actionable and detailed.

Download Rental Car Services Data
Step 4: Visualize with ‘Add on Map’

By clicking “Add on Map,” users can overlay selected rental car service data onto the analysis interface. This interactive feature enables users to inspect spatial distribution, analyze service density, and explore urban mobility flows in real time.

Download Rental Car Services Data
Step 5: Download the Data in Your Preferred Format

Once satisfied, click “Download Data.” You can choose a sample or complete dataset. Select the desired format—whether it’s Shapefile, KML, MID, or any other supported option—agree to the terms, and proceed to download.

Download Rental Car Services Data

Final Thoughts

Download Rental Car Services Data in a format that fits your workflow with just a few clicks. Thanks to MAPOG’s extensive format support and built-in analytical features, professionals and GIS enthusiasts can gain deep insights into car rental networks and urban mobility patterns. If your goal is to map, plan, or research ground transportation services, GIS Data by MAPOG is the gateway to smarter, data-driven outcomes.

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.

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Download Public Transport Platform Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured public transport information? Now you can Download Public Transport Platform Data with ease using GIS Data by MAPOG. This intuitive platform supports over 15 GIS formats including Shapefile, KML, GeoJSON, MID, and more—ensuring compatibility with most modern GIS tools. Whether you’re involved in transit planning, infrastructure development, or urban mobility studies, MAPOG offers a reliable way to access and analyze Public Transport Platform data for smarter mapping decisions.

How to Download Public Transport Platform Data

MAPOG has streamlined the entire process to help users quickly access Public Transport Platform datasets from hundreds of layers globally. Supporting a wide range of formats like SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, GPX, and more, the platform caters to both technical and analytical needs.

Download Public Transport Platform 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 Public Transport Platform Data

Step 1: Search for Public Transport Platform Data

Begin by selecting your area of interest within the MAPOG interface. Use the “Search Layer” option to find “Public Transport Platform” data. Review the dataset details to check if the data is in point or polygon geometry format.

Download Public Transport Platform Data
Download Public Transport Platform Data

Leverage MAPOG’s “Try AI” tool to make your search even quicker. Just enter phrases like “bus platforms in city” or “public transport access points,” and let the AI fetch the most relevant data layers instantly.

Download Public Transport Platform Data
Step 3: Refine Using Filter Data

For more targeted results, apply filters based on district, state, or urban zones. This step helps eliminate unnecessary data and ensures you’re working with only the most relevant Public Transport Platform information.

Download Public Transport Platform Data
Step 4: Visualize with Add on Map

Want to preview your data before downloading? Use the “Add on Map” feature to load the selected dataset onto MAPOG’s interactive map interface. This allows for a visual check of platform distribution, spatial relationships, and accessibility, which is useful for transport planning and analysis.

Download Public Transport Platform Data
Step 5: Download the Data

Once satisfied, click “Download Data.” You’ll have the choice between sample and full datasets. Select your preferred format—Shapefile, KML, MID, or others—accept the terms, and begin your download.

Download Public Transport Platform Data

Final Thoughts

MAPOG makes it incredibly easy to Download Public Transport Platform Data in the format that best suits your project. With its AI-enhanced search, rich filtering options, and multiple export formats, the platform empowers researchers, urban planners, and GIS analysts to make informed decisions with high-quality data. Whether for mapping, modeling, or infrastructure analysis, GIS Data by MAPOG is your go-to resource to Download Public Transport Platform Data efficiently and accurately.

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:
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