Bangladesh GeoJSON Shapefiles - Division, District/Zilla, Upozilla, Thana/Union

GeoJSON or SHP shapefile - Boundary / Outline shapes of Bangladesh Divisions (বিভাগ), Districts / Zila / Jela (জেলা), Upazila / Upojela (উপজেলা), Unions / Thanas (থানা)

Download

Shapefiles in SHP format: [humdata.org] (Original Source)

Shapefiles in GeoJSON format: [Google Drive] (Converted)

Contents

Note:

• adm = Administration Regions
• adm0 = Entire Bangladesh
• adm1 = 8 Divisions
• adm2 = 64 Districts/Zilas
• adm3 = 492 Upazilas
• adm4 = 5160 Thanas/Unions

GeoJSON files:

• bangladesh_geojson_adm0_whole_bangladesh_outline.json
• bangladesh_geojson_adm1_8_divisions_bibhags.json
• bangladesh_geojson_adm2_64_districts_zillas.json
• bangladesh_geojson_adm3_492_upozila.json
• bangladesh_geojson_adm4_5160_unions_thanas.json
• bangladesh_geojson_admALL_2_entire_bd_division_district_unions.json
• bangladesh_geojson_admALL_entire_bd_division_district_unions.json

Inside small folder (smaller file size):

• small_bangladesh_geojson_adm0_whole_bangladesh_outline.json
• small_bangladesh_geojson_adm1_8_divisions_bibhags.json
• small_bangladesh_geojson_adm2_64_districts_zillas.json
• small_bangladesh_geojson_adm3_492_upozila.json
• small_bangladesh_geojson_adm4_5160_unions_thanas.json

How to open GeoJSON / SHP files with Python

• Plotting Choropleth Maps using Python (Plotly)
• Shapefiles in Python: a super basic tutorial

How to reduce GeoJSON file size

• How to reduce GeoJSON file size with mapshaper.org

How to convert from SHP to GeoJSON (using ogr)

Source of converter function: medium.com
Link to OGR: link

# Python >= 3.7
import ogr
import json

def shp2json(shp_path):
  """
  Convert SHP files to GeoJSON with OGR.
  Outputs JSON file to same directory as the SHP files.
  
  Input:
    - shp_path (str):
        e.g. "D:/somewhere/bangladesh.shp"
  """
  driver = ogr.GetDriverByName('ESRI Shapefile')
  data_source = driver.Open(shp_path, 0)

  fc = {
      'type': 'FeatureCollection',
      'features': []
      }

  lyr = data_source.GetLayer(0)
  for feature in lyr:    
      fc['features'].append(feature.ExportToJson(as_object=True))

  output_name = shp_path.split(".")[0] + ".json"

  with open(output_name, 'w') as f:
      json.dump(fc, f)
      print("GeoJSON file created: {}".format(output_name))

You can also do it with libraries like geopandas.