Download Garage Location Data in GIS Formats (Shapefile, KML, GeoJSON & More)

Need detailed and structured garage location information for your next project? Download Garage Data effortlessly with GIS Data by MAPOG—a powerful, easy-to-navigate platform that supports over 15 GIS formats including Shapefile, KML, GeoJSON, MID, and more. Whether you’re working on transportation planning, urban infrastructure development, or spatial accessibility studies, MAPOG equips you with up-to-date, ready-to-analyze garage datasets compatible with all major GIS tools.

Understanding Garage Data and the MAPOG Advantage

Garage data typically includes the geographic locations of public and private vehicle garages, their capacities, and types—valuable information for city planners, researchers, and logistics professionals. GIS Data by MAPOG simplifies the retrieval process by providing access to garage datasets across diverse layers with advanced tools for filtering, visualization, and export.

Download Garage 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 Garage Data

Step 1: Search for Garage Data

Start by typing “Garage Data” in the search bar after selecting your desired region. Use the layer details to check if the data includes points or polygons, and review the attribute table for more context.

Download Garage Data
Download Garage Data
Step 2: Use AI Search Tool for Faster Access

Take advantage of the “Try AI” feature. Simply enter a phrase like “Garages in central area” and let the AI fetch relevant datasets instantly. This smart tool streamlines data discovery and enhances accuracy.

Download Garage Data
Step 3: Filter Data by Region

Drill down using the Filter Data option. This feature allows you to narrow the dataset by state and district, making it easy to identify and download data tailored to your specific geographic focus.

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

With “Add on Map,” the selected garage dataset can be instantly overlaid on the interactive GIS interface. This function is particularly useful for visual analysis, route optimization, or capacity planning, as it brings clarity to spatial relationships.

Download Garage Data
Step 5: Download Garage Data

After reviewing the dataset and finalizing your selection, hit the “Download Data” button. Choose between a preview or full download, pick your desired file format (such as Shapefile, KML, MID, etc.), accept the terms, and proceed to download.

Download Garage Data

Conclusion

From visualization to format flexibility, MAPOG makes the entire process to Download Garage Data fast, accurate, and accessible. Whether you’re a GIS professional, transport analyst, or urban planner, this platform gives you the tools and data you need to make informed, spatially-aware decisions. With just a few clicks, your next garage-related GIS analysis is ready to begin.

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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