Download Thailand Administrative Boundary GIS Data for – National, Province and more

Elevate your mapping pursuits! IGISMAP presents a special offer: download Thailand’s administrative boundary GIS data, including national, provinces, and more.

Embark on a journey to explore Thailand’s rich and diverse geography effortlessly with MAPOG. Discover an extensive array of datasets, providing comprehensive information about national borders, meandering rivers, well-structured road networks, and accessible airports. Navigating our user-friendly tools, such as Download GIS Data and Add GIS Data, has never been more intuitive. Tailor your data downloads to your preferences by selecting from various formats like Shapefile, KML, GeoJSON, and CSV using the Download GIS Data tool. For a step-by-step guide on effectively harnessing the Add GIS Data tool to unlock Thailand’s GIS Data through MAPOG, consult our guide titled “Add GIS data from MAPOG GIS data collection.” This resource provides foolproof instructions for acquiring administrative GIS data using the Download GIS Data tool. Feel confident as you embrace MAPOG as your trusted resource for delving deeper into Thailand GIS data.

Thailand National Boundary

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.

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.


  • 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 Thailand

Thailand, officially known as the Kingdom of Thailand and historically referred to as Siam, is a Southeast Asian country located on the Indochinese Peninsula. It covers an area of 513,120 square kilometers (198,120 square miles) and has a population of nearly 70 million.

Thailand shares its borders with Myanmar and Laos to the north, Laos and Cambodia to the east, and the Gulf of Thailand and Malaysia to the south. To the west, it is bordered by the Andaman Sea, and it has maritime boundaries with Vietnam to the southeast, as well as Indonesia and India to the southwest. The capital city of Thailand is Bangkok, which is also the largest city in the country.

Thailand National Boundary

Download Thailand National Boundary Shapefile

After successfully logging in with a legitimate email address, select the country you want to work with. Next, choose the specific layer you need and click on the download option. Once that’s done, pick the desired format to acquire the essential GIS data. Before proceeding with the data download, make sure to review the data table for any relevant information.

Download Thailand Provinces Shapefile Data

Thailand’s administrative divisions consist of 76 provinces and one special administrative area, which is the capital city, Bangkok. These provinces serve as the primary administrative regions within the government of Thailand.

Thailand Provinces boundaries

Download Thailand Provinces Shapefile

Download Thailand National and Provinces Combined Shapefile Data

Thailand, officially known as the Kingdom of Thailand, is a country in Southeast Asia that is divided into 76 provinces.

Thailand National, provinces Boundaries

Download Thailand National, Provinces Shapefile

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Above all links are provided for GIS data of Thailand if you are looking for any specific data please write us on

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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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