Deutsch English

German Administrative Boundaries Geodata


This dataset is offered by a user of the marketplace since Wednesday, April, the 13th 2016, 06:40h. This was 646 days ago.

Description of the dataset

What information does the dataset contain?
The files contain the names and administrative boundaries of all German administrative units, so classified:

  • * 11.329 Communities (municipalities, cities, joint communities, independent municipalities)
  • * 402 Counties/ urban districts
  • * 16 Federal states

Furthermore, the units are organized hierarchically, so that one can easily see which county a community falls under, or which federal state a county is in. The population is also included.
What data fields/columns are included?
Classification; Name; Population; County Code; Federal State ID

Which file format is the data available in?
.sql - You will receive the data as a database export for MySQL.
What is the source of the data?
The data was extracted from OpenStreetMap ( and is published under CC-BY-SA 2.0 license ( Each section of the data must also stay under this license; the original source must be cited with each use. The price listed below includes the processing and formatting of the data, and is not a licensing fee. The OpenStreetMap data can be used without a licensing fee.

Image preview

GABG 1.png GABG 2.png GABG 3.png

Description of files

Size: 51.56M

Price: 499,00 Euro


No comments yet for this dataset

Similar Datasets

Shapefile Districts in Germany json kml shp sql wkt

What information does the dataset contain These files contain vector data on all German districts, both regional and urban districts, in various and universal geodata formats. What data fields/columns are included District Name; Border Perimeter Shape Additional fields: District Code, Population, Type of District Which file format is the data available in The coordinate format is WGS84 projection. The following data formats are available: shapefile for ESRI ArcGIS KML for Google Maps/Google Earth GeoJSON for web applications or Quantum GIS WKT as a text presentation SQL for Mysql-Postgresql-Geometry, SVG for image-processing programs Therefore, almost any geo-information system should be able to import the data. How many entries does the dataset have 402 Entries (Each entry is one of the following: urban district, metropolitan area, county district, or regional collective.) When was the data compiled Data was collected and compiled in August 2012 using OpenStreetMap. That is to say, the 2011 reform of municipality boundaries in Mecklenburg-Vorpommern is considered. The extent to which the data is correct, complete, and up-to-date cannot be guaranteed, due to the changing nature of boundaries. In costal areas, only the landmass of the boundary shape is taken into account, no boundaries on the water are considered. What is the source of the data Data from OpenStreetMap ( ) - published under the CC-BY-SA 2.0 license ( ). Each section of the data must also stay under this license; the original source must be cited with each use.The price listed below includes the processing and formatting of the data, and is not a licensing fee. The OpenStreetMap data can be used without a licensing fee. Sample data: id osm_id _prefix name _einwohner _kreisschluessel geometry 1 62675 Kreisfreie Stadt Flensburg 88750 01001 [GEOMETRY - 12,2KiB] 2 62763 Kreisfreie Stadt Kiel 239520 01002 [GEOMETRY - 35,0KiB] 3 62463 Kreisfreie Stadt Lübeck 210230 01003 [GEOMETRY - 48,5KiB] 4 62528 Kreisfreie Stadt Neumünster 76830 01004 [GEOMETRY - 14,2KiB] 5 62576 Kreis Dithmarschen 134790 01051 [GEOMETRY - 57,1KiB]


Administrative borders municipalities Luxembourg json kml shp sql wkt

Dataset content: The files contain the administrative borders of all 116 municipalities/cities in Luxembourg in different popular geodata formats as vector data. The dataset is useful for geo positioning and distance search as well as visualization. Data columns: Name of the municipality, border shapes Data format: Projection of coordinates is GS84. The available file format are shapefile for ESRI Arcgis, KML für Google Earth, GeoJSON for web applications and Quantum GIS, WKT as text representation, SVG for vector images and SQL Geometry for Postgresql-Databases. Number of entries: 116 municipalities Date of collection: Data was compiled in August 2012 from OpenStreetMap. Data source: The data is an extract from OpenStreetMap ( published under CC-BY-SA 2.0 ( license. When using this data, you have to respect the license conditions, e.g. using the above attribution + links. The price of the dataset is processing costs, the OpenStreetmap data itself can be used without a license fee. Dataset preview: { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "Name": "Bascharage" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [[[5.9481676,49.5604069],[5.948452,49.5596077],


List of German Domain names / .de directory csv txt sql txt

This offer contains.. The dataset contains an exhaustive list of all registered german second level domain names. these are 12.9 million domain names ending on .de This snapshot was taken in February 2010 and contains the data in raw fulltext. The list is suitable for full range web applications, ranging from web crawling, registration checks to marketing. A domain in the list was necessarily registered in February 2010 but does not have a website available in all cases. Sample data: ... aachen-abflussreinigung aachen-adalbertstrasse aachen-aixcellent aachen-aktiv aachen-aktuell aachen-akupunktur aachen-albumdruck aachen-alles-im-lot aachen-amknipp aachen-angebote aachen-annastrasse aachen-anwalt aachen-anzeigen aachen-apartments aachen-apartments-anders aachen-apotheke aachen-apotheken ...

Details is an electronic marketplace for datasets, databases and files. These datasets can be used for private or business needs, for instance: data mining, business intelligence, data enrichment and validation e.g. geodata for web development or mobile location based services, and company addresses for marketing, dialog marketing or customer acquisition, etc. Data suppliers can offer their datasets here free of charge and profit by selling them, as long as they abide by the necessary rules that govern the exchange. Consumers can purchase the datasets at a favorable price, with out the complexity of creating or collecting the dataset themselves, and have it instantly available to download.