Download Railway data in Shapefile, KML, GeojSON +15 GIS format



Download railway data in Shapefile, KML, GeoJSON, and 15+ other GIS formats. Access comprehensive datasets for enhanced mapping and spatial analysis.

Accessing accurate and up-to-date railway data is essential for GIS professionals, urban planners, and researchers. Whether you’re working on transportation analysis, infrastructure planning, or mapping projects, having railway data in the right format can significantly enhance your work. In this article, we will guide you through the process of downloading railway data in multiple GIS formats, including Shapefile, KML, GeoJSON, and over 15 other formats. We will be utilizing the MAPOG GIS DATA platform, a versatile tool that simplifies the process of acquiring and converting GIS data to meet your specific needs.

Download Railway Data

We offer an extensive array of data formats, including KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for various applications and analyses.

Steps to Download Railway Data

Step 1: Open MAPOG GISDATA Tool and Search for the Country

Begin by opening the MAPOG GISDATA platform. Once you’re on the platform, use the search bar to enter the name of the country whose railway data you wish to download. This will help you quickly locate the relevant geographic data specific to the country’s railway network.

Open MAPOG GISDATA Tool and Search for the Country

Step 2: Search for ‘RailData’ in the Search Bar

In the search bar of the MAPOG GISDATA platform, type “Railway.” This will generate a list of different types of railway data available for download, including railway networks, platforms, railway crossings, bridges, and more. Select the specific type of data you need for your project.

Search for ‘RailData’ in the Search Bar

Step 3: Add to Map for Visual Analysis

Once you’ve selected the railway data, click “Add to Map” to visualize it directly on the map. This allows you to see the spatial arrangement of the railway data and zoom in to explore specific features in detail.

Add to Map for Visual Analysis

Step 4: Download the Data

After confirming that the data is what you need, click the “Download” button. Choose your preferred format—whether it’s Shapefile, KML, GeoJSON, or any other available format—to save the data for your project.

Download the Data

Conclusion

Accessing and utilizing railway data is crucial for various GIS-related projects, and the MAPOG GISDATA platform makes this process straightforward and efficient. By following the steps outlined in this guide, you can easily download railway data in the format that best suits your needs. Whether you’re working on transportation analysis, infrastructure planning, or any other mapping project, MAPOG ensures you have the right tools at your fingertips.

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.

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.

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