Download Address Interpolation Data (SHP, KML, GeoJSON) – Accurate Geocoding & Mapping

Looking to Download Address Interpolation Data for mapping, navigation, or spatial analytics? GIS Data by MAPOG makes this process smooth and efficient by offering multiple export formats such as Shapefile, KML, GeoJSON, MID, and more. Address Interpolation data helps estimate house numbers or address points along road segments, enabling accurate geocoding, routing, and urban planning workflows. With MAPOG, users can access structured, ready-to-use datasets that support various professional GIS applications.

Key Features & Supported Formats

MAPOG provides access to a vast collection of GIS layers, offering formats like SHP, KML, GeoJSON, MID/MIF, CSV, SQL, DXF, GPX, and TOPOJSON. The interface is designed so that professionals and beginners alike can easily browse, preview, filter, and Download Address Interpolation Data for their mapping needs.

Download Address Interpolation Data of any countries

Note:
  • All datasets are provided in GCS datum EPSG:4326 – WGS84 CRS.
  • Login is required before downloading any dataset.

Step-by-Step Guide to Download Address Interpolation Data

Step 1: Search for Address Interpolation Layer

Begin by navigating to the GIS Data by MAPOG platform. Use the search layer function and type Address Interpolation Data.” Review the dataset details to understand its structure, attributes, and geometry type—usually line-based data representing address ranges along streets.

Download Address Interpolation Data
Download Address Interpolation Data

Step 2: Apply Data Filters for Precise Results

MAPOG’s Filter Data option allows you to refine the dataset by selecting specific states or districts. This helps in isolating the exact areas you need. For deeper datasets, you can progressively narrow the results from broader to more localized regions, making the final output highly relevant.

Download Address Interpolation Data

Step 3: Visualize Using “Add on Map”

With the Add on Map feature, users can instantly view the Address Interpolation layer on the interactive map interface. This visualization helps you analyze road segments, address ranges, density clusters, and positional accuracy before downloading.

Download Address Interpolation Data

Step 4: Download Address Interpolation Data

Once everything looks correct, click Download Data. Choose between a sample or complete dataset. Select your preferred format—Shapefile, KML, GeoJSON, MID, or others—agree to the terms, and proceed to download. The exported data can be seamlessly used in software like QGIS, ArcGIS, or any GIS workflow.

Download Address Interpolation Data

Final Thoughts

With MAPOG’s rich GIS Data library, the process to Download Address Interpolation Data becomes significantly easier and more efficient. The platform provides a blend of flexibility, accuracy, and user-friendly features suited for geocoding, planning, analytics, and research. Whether you’re handling urban development projects or location-based services, MAPOG empowers you with reliable datasets ready for immediate integration into your GIS environment.

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.

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