Download Post Office Data in Shapefile, KML, MID and more

Looking for structured post office location data? Download Post Office Data effortlessly using GIS Data by MAPOG. This powerful platform provides multiple GIS formats, including Shapefile, KML, MID, and GeoJSON, ensuring seamless integration with various GIS applications. Whether the data is required for logistics, urban development, or postal network analysis, MAPOG delivers precise and up-to-date geographic datasets for accurate mapping and research.

How to Download Post Office Data

GIS Data by MAPOG streamlines the entire process, offering users access to thousands of geographic datasets in over 900+ layers. The platform supports numerous formats such as SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX, making it a go-to resource for GIS professionals, researchers, and planners.

Download Post 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 Post Office Data

Step 1: Search for Post Office Data

Begin by selecting the region of interest in GIS Data by MAPOG. Utilize the search function to find “Post Office Data.” Check whether the dataset is available in point or polygon format based on your needs.

Download Post Office Data
Download Post Office Data
Step 2: Utilize the AI Search Tool

For faster and more precise results, use MAPOG’s “Try AI” search feature. Simply enter relevant keywords like “Post Offices in area,” and the AI tool will instantly fetch the most accurate datasets. This enhances efficiency and ensures quick access to relevant data.

Download Post Office Data
Step 3: Apply Data Filters

Narrow down results using the Filter Data option. Users can refine searches based on states and districts, allowing for a more detailed and targeted approach to data collection. If a country-wide dataset is available, filtering at the state and district level enables a deeper understanding of postal distribution.

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

The Add on Map feature provides users with an interactive way to overlay selected datasets onto a GIS interface for analysis. This visualization step is crucial in identifying postal service coverage, accessibility, and spatial patterns before downloading the dataset.

Download Post Office Data
Step 5: Download Post Office Data

Once satisfied with the dataset, proceed to the Download Data option. Choose between a sample dataset or the complete version. Select the required format (Shapefile, KML, MID, or others), accept the terms, and click download. The data will be ready for use in various GIS tools for further analysis.

Download Post Office Data

Final Thoughts

With GIS Data by MAPOG, Downloading Post Office Data has never been more accessible. The platform ensures users can obtain comprehensive datasets in multiple formats, making it an invaluable resource for postal network analysis, logistics, and GIS-based planning. Whether for research, infrastructure management, or service optimization, this tool provides the insights needed for data-driven decision-making.

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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