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

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.

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.

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.

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.

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 files, add 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 analysis, create grids, transform 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.