Download Public Transport Platform Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured public transport information? Now you can Download Public Transport Platform Data with ease using GIS Data by MAPOG. This intuitive platform supports over 15 GIS formats including Shapefile, KML, GeoJSON, MID, and more—ensuring compatibility with most modern GIS tools. Whether you’re involved in transit planning, infrastructure development, or urban mobility studies, MAPOG offers a reliable way to access and analyze Public Transport Platform data for smarter mapping decisions.

How to Download Public Transport Platform Data

MAPOG has streamlined the entire process to help users quickly access Public Transport Platform datasets from hundreds of layers globally. Supporting a wide range of formats like SHP, KML, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, GPX, and more, the platform caters to both technical and analytical needs.

Download Public Transport Platform 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 Public Transport Platform Data

Step 1: Search for Public Transport Platform Data

Begin by selecting your area of interest within the MAPOG interface. Use the “Search Layer” option to find “Public Transport Platform” data. Review the dataset details to check if the data is in point or polygon geometry format.

Download Public Transport Platform Data
Download Public Transport Platform Data

Leverage MAPOG’s “Try AI” tool to make your search even quicker. Just enter phrases like “bus platforms in city” or “public transport access points,” and let the AI fetch the most relevant data layers instantly.

Download Public Transport Platform Data
Step 3: Refine Using Filter Data

For more targeted results, apply filters based on district, state, or urban zones. This step helps eliminate unnecessary data and ensures you’re working with only the most relevant Public Transport Platform information.

Download Public Transport Platform Data
Step 4: Visualize with Add on Map

Want to preview your data before downloading? Use the “Add on Map” feature to load the selected dataset onto MAPOG’s interactive map interface. This allows for a visual check of platform distribution, spatial relationships, and accessibility, which is useful for transport planning and analysis.

Download Public Transport Platform Data
Step 5: Download the Data

Once satisfied, click “Download Data.” You’ll have the choice between sample and full datasets. Select your preferred format—Shapefile, KML, MID, or others—accept the terms, and begin your download.

Download Public Transport Platform Data

Final Thoughts

MAPOG makes it incredibly easy to Download Public Transport Platform Data in the format that best suits your project. With its AI-enhanced search, rich filtering options, and multiple export formats, the platform empowers researchers, urban planners, and GIS analysts to make informed decisions with high-quality data. Whether for mapping, modeling, or infrastructure analysis, GIS Data by MAPOG is your go-to resource to Download Public Transport Platform Data efficiently and accurately.

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.

Here are some blogs you might be interested in:

Download Construction Sites Data in Shapefile, KML, MID +15 GIS Formats

Looking for accurate and structured location data of construction activity? Download Construction sites Data easily using GIS Data by MAPOG. This intuitive platform supports over 15+ GIS formats including Shapefile, KML, GeoJSON, and MID, enabling compatibility across popular GIS software. Whether you’re engaged in infrastructure planning, monitoring urban expansion, or conducting land-use analysis, MAPOG offers detailed and reliable construction site datasets that support efficient decision-making and mapping tasks.

Why Construction Sites Data Matters

Construction sites represent areas where new structures are being built or existing ones are undergoing significant changes. These locations are vital for urban planners, real estate analysts, environmental consultants, and development authorities. With the right data, professionals can assess developmental density, identify growth trends, and evaluate impact on surrounding zones.

Download Construction Sites 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 Construction Sites Data

Step 1: Search for Construction Sites Data

Begin by selecting your desired region from the GIS Data by MAPOG platform. Use the built-in search tool to look for “Construction Sites.” Datasets may include point or polygon geometries depending on how the information was mapped.

Download Construction sites Data
Download Construction Sites Data
Step 2: Use the AI-Powered Search Tool

MAPOG’s “Try AI” search assistant speeds up the process. Enter terms like “construction activity in zone” or “urban development sites,” and the AI tool will fetch the most relevant datasets for you—perfect when time or specificity is key.

Download Construction sites Data
Step 3: Filter for Precision

To narrow down your results, apply the “Filter Data” option. This helps you sort construction data by city blocks, local authorities, or planning zones, giving you a refined dataset tailored to your needs.

Download Construction sites Data
Step 4: Visualize Data on Interactive Map

Click “Add on Map” to instantly view your selected construction data overlaid on a live map. This visualization aids in understanding spatial distribution, construction clusters, and nearby infrastructures, allowing for more informed analysis.

Download Construction sites Data
Step 5: Download Construction Sites Data

Once you’ve verified the dataset, proceed to download. Choose your preferred format—be it Shapefile, KML, MID, GeoJSON, or others—and opt for either a sample preview or the complete dataset. Accept the terms, and your download will be ready in seconds.

Download Construction sites Data

Final Thoughts

In a world where spatial awareness and development monitoring are critical, Download Construction sites Data using GIS Data by MAPOG to stay ahead. The platform simplifies the retrieval of comprehensive construction datasets for planners, GIS analysts, and researchers alike. With its robust features and multiple export formats, it empowers users to conduct thorough analysis, plan efficiently, and visualize construction patterns with ease.

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.

Here are some blogs you might be interested in:


Download Drop-in Centers Data in Shapefile, KML, MID +15 GIS Formats

Looking to Download Drop-in Centers Data for your next GIS project or planning initiative? With GIS Data by MAPOG, accessing reliable, up-to-date geographic datasets is simple and efficient. Whether you’re working in the fields of social welfare, community health outreach, or urban resource mapping, this platform supports over 15 GIS formats including Shapefile, KML, MID, and GeoJSON—ensuring smooth compatibility with major GIS tools and software.

How GIS Data by MAPOG Works?

MAPOG’s intuitive system simplifies the process of discovering, visualizing, and downloading location-based datasets. It supports users with advanced tools like AI-assisted search, layer visualization, and customizable format options. Whether you’re analyzing accessibility or planning expansion, you can easily download Drop-in Centers Data for more informed spatial analysis.

Download Drop-in Centers 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 Drop-in Centers Data

Step 1: Search for Drop-in Centers Data

Begin by logging into the GIS Data by MAPOG portal. Use the search layer function and type in “Drop-in Centers Data.” Review the attributes available—data may appear as points or polygons, depending on how it has been collected and categorized.

Download Drop-in Centers Data
Download Drop-in Centers Data
Step 2: Try the AI Search Tool

Use MAPOG’s built-in “Try AI” feature to quickly find relevant datasets. Enter phrases like “Drop-in centers near me” or “Community shelters,” and the tool will auto-suggest matching layers, saving you time and effort.

Download Drop-in Centers Data
Step 3: Apply Filters for Targeted Results

Narrow your results using the Filter Data option. This allows users to search by state or district, enabling deeper exploration within a region. Whether you’re working locally or across multiple jurisdictions, this feature ensures data accuracy and relevance.

Download Drop-in Centers Data
Step 4: Visualize with “Add on Map”

Click on “Add on Map” to view your selected data on MAPOG’s interactive GIS interface. This lets you analyze spatial distribution, evaluate service gaps, and understand proximity to other key facilities—all in real time.

Download Drop-in Centers Data
Step 5: Download Drop-in Centers Data

Once you’re satisfied with your selection, click on “Download Data.” Choose from sample or full datasets and select from formats like Shapefile, KML, MID, CSV, GeoJSON, DXF, or SQL, among others.

Download Drop-in Centers Data

Final Thoughts

With powerful tools, smart filters, and diverse format options, GIS Data by MAPOG makes it seamless to download Drop-in Centers Data for any kind of mapping, analysis, or planning task. Whether you’re a researcher, urban planner, social worker, or GIS professional, this platform equips you with the spatial intelligence needed to make meaningful, data-driven decisions.

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.

Here are some blogs you might be interested in:

Download Historical Monuments Data in Shapefile, KML, MID +15 GIS Formats

Looking to explore or map culturally significant sites? Download Historical Monuments Data quickly and accurately using GIS Data by MAPOG. This intuitive platform offers data in over 15 GIS formats—including Shapefile, KML, GeoJSON, and MID—ensuring compatibility with major GIS tools. Whether you’re engaged in heritage conservation, academic research, urban planning, or tourism development, this tool provides well-structured, ready-to-use datasets that support detailed spatial analysis and visualization.

How to Download Historical Monuments Data

GIS Data by MAPOG offers a robust way to explore and download monument data from hundreds of geographic layers. The system supports a wide variety of file formats—such as KML, SHP, CSV, GeoJSON, SQL, DXF, MIF, TOPOJSON, and GPX—making it a preferred choice for GIS professionals, developers, and researchers alike.

Download Historical Monuments 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 Historical Monuments Data

Step 1: Search for Historical Monuments Data

Begin by selecting the region of interest within the MAPOG interface. Use the “Search Layer” function and look for “Historical Monuments Data.” Depending on the dataset, the information may appear as points or polygons, representing locations or boundaries.

Download Historical Monuments Data
Download Historical Monuments Data
Step 2: Use the AI Search Tool

Let MAPOG’s “Try AI” assist you. Simply input keywords like “Monuments near me” or “Heritage sites,” and the AI tool will present the most relevant layers. This feature not only saves time but also enhances search accuracy.

Download Historical Monuments Data
Step 3: Apply Data Filters

Fine-tune your search using the Filter Data option. You can narrow the dataset by selecting specific states and districts. For nationwide datasets, this feature enables deep-level filtering—making it easier to locate and analyze monuments based on administrative boundaries.

Download Historical Monuments Data
Step 4: Visualize with ‘Add on Map’

Click the Add on Map option to overlay the selected layer onto the GIS map analysis interface. This allows for better visualization and spatial examination of monument locations, clustering, accessibility, and relation to nearby landmarks or infrastructure.

Download Historical Monuments Data
Step 5: Download Historical Monuments Data

Once you’ve finalized your dataset, click “Download Data.” Choose whether to download a sample or the full dataset. Select your desired format—Shapefile, KML, GeoJSON, MID, or others—accept the usage terms, and download your data for offline or project use.

Download Historical Monuments Data

Final Thoughts

With MAPOG’s powerful GIS platform, the ability to download Historical Monuments Data becomes efficient and user-friendly. The platform caters to diverse GIS applications, offering detailed insights and flexibility in how data is accessed and applied. Whether you’re a cultural researcher, urban planner, or GIS enthusiast, MAPOG ensures that heritage-focused spatial data is always within reach.

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.

Here are some blogs you might be interested in:

Download Fast Food Restaurant Data in Shapefile, KML, MID +15 GIS Formats

Looking to map the spread of fast food chains or analyze urban food landscapes? Download Fast Food Restaurant Data easily and efficiently using GIS Data by MAPOG. This powerful and intuitive platform supports multiple GIS formats such as Shapefile, KML, GeoJSON, MID, and more—making it compatible with various GIS tools for both beginners and experts. Whether you’re studying urban sprawl, planning zoning policies, or exploring consumer patterns, MAPOG delivers accurate, location-based datasets to meet your analytical needs.

How to Download Fast Food Restaurant Data

GIS Data by MAPOG has simplified the entire process of acquiring restaurant datasets from across the globe. With over 900+ thematic layers and coverage in more than 200 regions, the platform allows you to download data in formats like SHP, KML, CSV, SQL, DXF, MIF, GPX, TOPOJSON, and more. This versatility makes it ideal for use in ArcGIS, QGIS, Google Earth, and other GIS software.

Download Fast Food Restaurant 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 Fast Food Restaurant Data

Step 1: Search for Fast Food Restaurant Data

Begin by entering the platform and selecting your area of interest. Use the “Search Layer” option and type “Fast Food Restaurant Data” to locate relevant datasets. Preview the data type—most will be in point format with essential attributes like name, location, and category.

Download Fast Food Restaurant Data
Download Fast Food Restaurant Data
Step 2: Use the AI Search Tool

Save time by using MAPOG’s “Try AI” feature. Just type something like “Fast food outlets near city center” and let the AI assist you in finding accurate and contextual datasets without manual filtering.

Download Fast Food Restaurant Data
Step 3: Apply State and District Filters

Need more refined data? Use the Filter Data option to narrow results by specific states or districts. This is especially useful for those who want to focus on micro-level planning or regional market research.

Download Fast Food Restaurant Data
Step 4: Visualize with “Add on Map”

With the Add on Map feature, you can view the selected fast food restaurant data directly on the GIS interface. This enables deeper spatial analysis—like identifying clusters, gaps in service areas, or proximity to residential zones.

Download Fast Food Restaurant Data
Step 5: Download Fast Food Restaurant Data

Finally, click “Download Data” once your dataset looks good. You’ll have the option to choose a sample or full version, select your preferred format (such as Shapefile, KML, MID, GeoJSON, etc.), and proceed with the download after agreeing to the terms.

Download Fast Food Restaurant Data

Final Thoughts

Using GIS Data by MAPOG, you can download Fast Food Restaurant Data quickly and in a format that suits your GIS workflow. From urban researchers and business analysts to geography enthusiasts, everyone can benefit from this rich, location-based resource. Thanks to MAPOG’s clean interface, advanced search tools, and diverse export options, gathering food infrastructure data for analysis has never been this seamless.

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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Convert SHP to SQLITE Online: A Step by Step Guide

File conversion is an essential step in the GIS process that guarantees the easy use of geographic data in various applications. Database-driven geospatial applications benefit from improved data organization and performance with the conversion of SHP to SQLITE.

What is SHP File?

In GIS, a popular geographic vector data format is a SHP file (Shapefile). For spatial characteristics, it saves the attribute data—descriptive information—and geometry—points, lines, and polygons. SHP files are compatible with applications such as ArcGIS and QGIS, and are frequently used for mapping locations, boundaries, and other geographic data. In order to store associated data, they frequently come with extra files.

                                                ONLINE GIS DATA CONVERTION

Key Concept for Conversion SHP to SQLITE:


MAPOG ‘s Converter Tool provides a user-friendly platform for converting data between various formats. Its intuitive interface ensures users can complete the conversion process with ease. Here’s a step-by-step guide on converting SHP files to SQLITE format using MAPOG.

Step-by-Step Guide to Converting SHP to SQLITE

Step 1: Upload the Data
Begin by navigating to the “Process Data” section in MAPOG MapAnalysis. Select the “Converter Tool” option. Before uploading your SHP file, ensure that it is organized and ready for conversion.

Convert SHP to SQLITE Online
Upload the Data

Step 2: Select the Format for Conversion
Next, choose SQLITE as the output format. SQLITE is ideal for managing geospatial databases due to its efficient storage capacity, making it suitable for large-scale GIS applications.

Convert SHP to SQLITE Online
Select the Format

Step 3: Choose the Output Coordinate Reference System (CRS)
Select the appropriate CRS if your data contains spatial information. This step ensures the geographic features in your SQLITE database are accurately positioned.

Convert SHP to SQLITE Online
Choose the Output CRS

Step 4: Execute the Conversion
Once you’ve selected the SQLITE format and the desired CRS, initiate the conversion process. The MAPOG tool will quickly and accurately convert your SHP file into an SQLITE database.

Convert SHP to SQLITE Online
Execute the Conversion

Step 5: Review and Download
After the conversion is complete, review the output to confirm the data was correctly converted. Finally, download the SQLITE file, which is now ready to be integrated into database-driven GIS systems for advanced analysis and management.

Convert SHP to SQLITE Online
Review the Data

Conclusion:


The MAPOG Converter Tool streamlines the process of converting GIS data between different formats, making it a valuable resource for GIS professionals. By following these steps, you can easily convert SHP files to SQLITE format, ensuring your data is well-prepared for storage in GIS data. If you need to download any data file in SHP or in any other formats like TOPJSON, GEOJSON, KML. Visit GIS DATA, here we have 900+ data layers for 200+ countries.

Feature Tool:
Story by MAPOG:

MAPOG is ideal for users who wish to put their data to life via interactive and attractive maps. It helps you to make memorable tales by combining maps with multimedia elements such as photos and text.

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Download Pipeline data in Shapefile, KML , Tiff +15 GIS format – Filter and download

GIS Data by MAPOG is a versatile platform designed to provide users with easy access to a wide range of GIS Data formats, such as Shapefile, KML, GeoJSON, and many more. The platform offers a user-friendly interface for downloading both administrative and geographic data sets and other datasets like pipeline data, allowing users to effortlessly locate and utilize data tailored to their specific needs.

Understanding the Process

Downloading pipeline data using GIS Data by MAPOG is a simple and efficient process, requiring users to select their preferred data format, such as Shapefile or KML, suitable for various GIS applications. The platform encompasses data from over 200+ countries, with access to more than 900+ layers. It streamlines the downloading procedure by offering a step-by-step guide, enabling users to quickly obtain the data required for analysis, planning, or mapping tasks.

An extensive range of data formats is available, including KML, SHP, CSV, GeoJSON, Tab, SQL, TIFF, GML, KMZ, GPKG, SQLITE, DXF, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for numerous applications and analytical needs.

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 Process to Download Pipeline Data

Step 1: Access GIS Data

Begin by logging into MAPOG with a valid email address. Once successfully logged in, navigate to the GIS data section to begin your search.

Download Pipelines Data
Step 2: Search for ‘Pipeline Data’

After accessing the GIS Data interface, select the country from which you wish to download data. Use the search layer option to look for the desired layer, such as “pipelines“. Review the data, its attributes, and its format (e.g., point or polygon). You can also utilize the “Try AI” tool located in the upper left corner to simplify your search—just specify the data you need and the area, and the tool will provide the corresponding data.

Download Pipelines Data
Download Pipeline Data
Step 3: Filter Data

Use the filter data option to refine your search by selecting specific states and districts. This feature allows for the location of more precise geographic information, enabling a deeper dive into data, such as narrowing down to specific states or districts. It enhances the accuracy and relevance of the data for targeted analysis or mapping.

Download Pipelines Data
Step 4: Add on Map

Leverage the “Add on Map” feature to overlay the selected pipeline data onto the MAPOG interface for further investigation. This function helps users visualize spatial relationships and patterns, enhancing decision-making in GIS projects. You can add the dataset to a new map or include it in an existing map.

Download Pipelines Data
Step 5: Download Data

Click on the “Download Data” button. Choose between downloading sample data or the full dataset, depending on your needs. Then, select the desired format from the available options—Shapefile, KML, GeoJSON, or any of the other 15+ supported GIS formats. After agreeing to the terms and conditions, click on the download button again to complete the process, and your data will be downloaded.

Download Pipelines Data
Conclusion

Downloading pipeline data in multiple GIS formats from GIS Data by MAPOG is an uncomplicated and efficient process, facilitated by a series of easy steps. This platform enables access to accurate and current geographic data in numerous formats, providing flexibility and support for a wide array of planning, mapping, and analytical applications.

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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Convert CSV to ESRI Shapefile Online: A Step-by-Step Guide

Converting geospatial data from CSV to ESRI Shapefile (SHP) format is crucial for users needing to utilize spatial data in various GIS platforms. The ESRI Shapefile format is widely recognized in GIS, representing spatial features such as points, lines, and polygons.

What is CSV File?

A CSV file (Comma-Separated Values) is a simple text file that stores data in a table format. Each line represents a row, and the values in each row are separated by commas, making it easy to organize and share information like a spreadsheet.

                                        ONLINE GIS DATA CONVERSION

Key Concept for Conversion CSV to ESRI Shapefile: 

MAPOG’s Converter Tool provides a user-friendly platform for converting CSV data into the ESRI Shapefile format. Here’s how to complete the conversion process using MAPOG.

Step-by-Step Guide to Converting CSV to ESRI Shapefile

Step 1: Upload the Data
Navigate to the “Process Data” section in MAPOG MapAnalysis and select the “Converter Tool” option. Upload your CSV file, ensuring that it contains the necessary spatial coordinates.

Convert CSV to ESRI Shapefile Online
Upload the Data

Step 2: Select the Format for Conversion
Choose “ESRI Shapefile” as the output format. This format is widely used for spatial data analysis and sharing across different GIS platforms.

Convert CSV to ESRI Shapefile Online
Select the Format

Step 3: Choose the Coordinate Reference System (CRS)
Select the appropriate CRS to ensure proper geographic representation in the shapefile. The CRS determines how the spatial features will be projected and interpreted.

Convert CSV to ESRI Shapefile Online
Choose the Output CRS

Step 4: Execute the Conversion
Initiate the conversion process. MAPOG’s tool will convert the CSV file into the Shapefile format, preserving spatial attributes and associated data.

Convert CSV to ESRI Shapefile Online
Execute the Conversion

Step 5: Review and Download
Once the conversion is complete, review the output to ensure that the spatial features and data were correctly processed. Download the Shapefile, which is now ready for use in GIS software like ArcGIS or QGIS.

Convert CSV to ESRI Shapefile Online
Download the Data

Conclusion:


MAPOG’s Converter Tool makes the process of converting CSV files to ESRI Shapefile format simple and efficient. By following these steps, you can easily integrate your CSV data into any GIS application that supports shapefiles. If you need to download any data file in CSV or in any other formats like KML, SHP, GEOJSON. visit GIS DATA. Here we have 900+ data layers for 200+ countries.

Feature Tool:
Story by MAPOG:

If you want to create maps that bring your data to life, MAPOG is ideal for you. With maps and multimedia components like text and images, you can create engrossing stories. Whether you’re presenting research or showcasing a project.

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Download Algeria Administrative Boundary Shapefiles – National, Districts, Municipalities and more

Algeria Shapefile Download Map – Free Polygon Administrative Download. Shapefiles showing Districts , Municipalities and Town and Cities.

Have you been searching too long for accurate GIS data for your country of interest? Well the wait is over with MAPOG, your one-stop destination for comprehensive GIS data covering 150+ countries. You can find more than 150 GIS data for each nation in MAPOG GIS Data Collection. The distinctive feature of MAPOG GIS data collection lies in its commitment to providing highly accurate GIS data of the administrative divisions. Users can also find data of other natural and man made geographic features such as river, roads, railway lines, airport locations etc. that are represented in appropriate geometric structures (point, line and polygon). MAPOG provides two important tools for accessing these GIS datasets – Download GIS Data and Add GIS Data.

With MAPOG’s versatile toolkit, you can effortlessly upload vector, 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.

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.

Note:

  • All data available are in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • You need to login for downloading the shapefile.

Download Shapefile Data of Algeria

Algeria is bordered to the northeast by Tunisia; to the east by Libya; to the southeast by Niger; to the southwest by Mali, Mauritania, and Western Sahara; to the west by Morocco; and to the north by the Mediterranean Sea. It is considered part of the Maghreb region of North Africa. It has a semi-arid geography, with most of the population living in the fertile north and the Sahara dominating the geography of the south. Algeria covers an area of 2,381,741 square kilometres (919,595 sq mi), making it the world’s, tenth largest nation by area and the largest nation in Africa, more than 200 times as large as the continent’s smallest country, The Gambia. With a population of 44 million, Algeria is the tenth-most populous country in Africa, and the 32nd most populous country in the world. The capital and largest city is Algiers, located in the far north on the Mediterranean coast.

Algeria National Boundary
Algeria National Boundary

Download Algeria National Boundary Shapefile

Download Algeria Districts Shapefile Data

Algeria’s districts were created as arrondissements when Algeria was a colony of France and they had a status equal to those of mainland France. They were, like France’s arrondissements, part of departements, which are further part of a région (which was called a territory, territoire, in French Algeria). They were maintained 6 years after the country’s independence (until 1968) when they were renamed “daïras” and had their functions slightly changed.

Algeria Districts Boundaries
Algeria Districts Boundaries

Download Algeria Districts Boundaries Shapefile

Download Algeria Municipalities Shapefile Data

The municipalities of Algeria form the third level of administrative subdivisions of Algeria. As of 2002, there were 1,541 municipalities in the country.

Algeria Municipalities Boundaries
Algeria Municipalities Boundaries

Download Algeria Municipalities Boundaries Shapefile

Other Administrative Boundary Data:

Other 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. Greenland
  14. India
  15. Indonesia
  16. Ireland
  17. Italy
  18. Japan
  19. Kenya
  20. Lebanon
  21. Madagascar
  22. Malaysia
  23. Mexico
  24. Mongolia
  25. Netherlands
  26. New Zealand
  27. Nigeria
  28. Papua New Guinea
  29. Philippines
  30. Poland
  31. Russia
  32. Singapore
  33. South Africa
  34. South Korea
  35. Spain
  36. Switzerland
  37. Tunisia
  38. United Kingdom Shapefile
  39. United States of America
  40. Vietnam
  41. Norway
  42. Chile
  43. Crotia

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.

Download Angola Administrative Boundary Shapefiles – National, Provinces and more

Download GIS data of Angola such as Angola National Boundary, Provinces, Municipalities and more. Download in Shapefile or CSV formats

Are you struggling to find accurate and up-to-date GIS data for your desired country? Worry no more, as MAPOG is here to be your ultimate solution! Our platform offers a comprehensive collection of GIS data covering more than 150 countries. You’ll find an impressive selection of over 150 GIS datasets available for each nation in the MAPOG GIS Data Collection. The hallmark of our GIS data lies in its exceptional accuracy, especially when representing administrative divisions. Moreover, our users can access a diverse range of data pertaining to natural and man-made geographic features, including rivers, roads, railway lines, airport locations, and much more, all meticulously represented in appropriate geometric structures (points, lines, and polygons). Facilitating seamless access to this invaluable data are two essential tools – Download GIS Data and Add GIS Data, thoughtfully integrated into the MAPOG platform. To delve deeper into the functionalities of the Add GIS Data tool, check out our enlightening article – “Add GIS data from IGISMap GIS data collection

With MAPOG’s versatile toolkit, you can effortlessly upload vector, 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.

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.

Note:

  • All data available are in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • You need to login for downloading the shapefile.

Download Shapefile Data of Angola

Angola is located on the western Atlantic Coast of Southern Africa between Namibia and the Republic of the Congo. It also is bordered by the Democratic Republic of the Congo and Zambia to the east. The country consists of a sparsely watered and somewhat sterile coastal plain extending inland for a distance varying from 50 to 160 km (31 to 99 mi). Slightly inland and parallel to the coast is a belt of hills and mountains and behind those a large plateau. The total land size is 1,246,700 km2 (481,400 sq mi). It has an Exclusive Economic Zone of 518,433 km2 (200,168 sq mi).

Angola National Boundary
Angola National Boundary

Download Angola National Boundary Shapefile

Download Angola Provinces Shapefile Data

Angola is divided into eighteen provinces, known in Portuguese as províncias:

  • Bengo
  • Caxito
  • Benguela
  • Bié
  • Cabinda
  • Cuando Cubango
  • Cuanza Norte
  • Cuanza Sul
  • Cunene
  • Huambo
  • Huíla
  • Luanda
  • Lunda Norte
  • Lunda Sul
  • Malanje
  • Moxico
  • Namibe
  • Uíge
  • Zaire
Angola Provinces Boundaries
Angola Provinces Boundaries

Download Angola Provinces Boundaries Shapefiles

Other 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. Norway
  41. Chile
  42. Crotia

Disclaimer : If you find any shapefile data of country provided is in correct 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.