Hallo GIS progessionals. Germany is a west European country with Berlin. Germany is the seventh largest country in Europe. Here in this post you can download Germany shapefile free. Germany has comprises of 16 federal states.
Download Germany Shapefile free
All data available are in EPSG:4326 WGS84 CRS (Coordinate Reference System). Following are the boundary line map shapefile of Germany are available to download. Before download you need to login.
Download Link – Download Germany boundary shapefile
Polygon shapefile of Germany with states
Germany comprises of sixteen states. This shapefile covers following states:
- Baden
- Bavaria
- Bremen
- Hamburg
- Hesse
- Berlin
- Brandenburg
- Lower Saxony
- Mecklenburg – Vorpommern
- North Rhine- Westphalia
- Rhineland – Palatinate
- Thuringia
- Schleswig – Holstein
- Saarland
- Saxony – Anhalt
- Saxony
Download link – Polygon shapefile of Germany
Convert Germany Shapefile to KML
You can convert downloaded Germany SHP to KML by IGIS Map Tool and follow the steps for Conversion of Germany Shapefile to Kml.
Download free Shapefile
- World Country Shapefile
- Australia Shapefile download
- Argentina
- Brazil
- Download Shapefile of Canada
- Denmark
- Germany
- India
- Indonesia
- Japan
- Kenya
- Lebanon
- Madagascar
- Malaysia Shapefile
- Mexico Shapefile
- Mongolia
- New Zealand
- Nigeria
- Papua New Guinea
- Philippines
- Poland
- Singapore
- South Africa Province Shapefile
- South Korea
- Tunisia
- United Kingdom Shapefile
- Download Shapefile of United States of America
- Vietnam
Please note that the Germany data provided here is license under Open Data Commons Open Database License (ODbL). Please review the same before using it. If you want data under different license you can also look over to the post : Download Free Shapefile Maps – Country Boundary Polygon, Rail-Road, Water polyline etc
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.