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Germany administrative boundaries

16 states, 401 districts and 10,939 municipalities, each with its official code, in GeoJSON, TopoJSON, GeoPackage, Shapefile, layered SVG, CSV and SQL.

Get the free sample
states
16
districts
401
municipalities
10,939
edition
Outline of Germany

One of the examples in the package

A layered SVG coloured from a table with a few lines of plain JavaScript: every entity is a path whose id is its official code. The page shows a part of the country: the two levels share the same borders, so they fit without gaps. The package has every entity of every level.

Bavaria: the municipalities of the district of Munich, coloured by area, among the other districts.

What is in the package

Levels and identifiers

LevelEntitiesIdentifier
country1DE
states16DE-R-<official code>
districts401DE-P-<official code>
municipalities10,939DE-M-<official code>

Every entity has the same identifier in every file: it is the feature id in GeoJSON and TopoJSON, the id of the path in SVG and the id column of the tables.

Formats and scales

Format full 100m 1km 10km light
GeoJSON 50.3 MB 24.7 MB 5.7 MB 183 KB 885 KB
TopoJSON 12.1 MB 7.7 MB 3.9 MB 136 KB 472 KB
Shapefile 41.5 MB 20.3 MB 4.6 MB 142 KB 723 KB
SVG - 26.4 MB 5.5 MB 176 KB 931 KB
  • full: the boundaries as published by the source.
  • 100m: simplified within 100 m and coherent: municipalities, districts and states share exactly the same border vertices.
  • 1km: simplified within 1 km and coherent like 100m, every level: the whole country on a web map.
  • 10km: simplified within 10 km and coherent, country, states and districts only: small maps and maps of many countries.
  • At the borders with the neighbouring countries (Austria, Belgium, Czech Republic, France, Luxembourg, Netherlands, Poland and Switzerland) the 100m, 1km and 10km boundaries share the same vertices as in their packages, so the maps fit without gaps or overlaps.
  • light: country, states and districts only, each level simplified on its own to a small file.
  • GeoJSON: one FeatureCollection per level, WGS84. TopoJSON: all the levels in one topology, shared borders are shared arcs.
  • GeoPackage: data/geopackage/de.gpkg (87.9 MB), one file for QGIS and ArcGIS with every level at every scale as a layer (municipalities_100m) with its spatial index, and every table of the package.
  • Shapefile: one per level and scale, WGS84, UTF-8; the columns longer than ten characters are shortened (region, province, abbrev).
  • SVG: one file per level and one with every level as a layer, in a Lambert conformal conic projection; they open as layers in Illustrator, Figma and Inkscape.
  • SQL: a script for PostGIS, one for MySQL 8 and one for SQL Server (24.9 MB each). It creates one table with every entity of every level, its 100m boundary in WGS84 and its indexes.
  • JSON: data/json/tree.json (954 KB), the levels nested and sorted by name, without boundaries: what the select boxes of a form need.

Tables

CSV, UTF-8. Names in EN, IT, ES, FR, DE, NL, PT, besides the official one.

FileRowsContent
tables/country.csv 1 The country: names, population, bounding box, centre and label point.
code, name, population, min_lat, min_lng, max_lat, max_lng, center_lat, center_lng, label_lat, label_lng, id, name_en, name_it, name_es, name_fr, name_de, name_nl, name_pt
tables/regions.csv 16 The states: official code, names, area, population, bounding box, centre and label point.
code, name, area_km2, population, min_lat, min_lng, max_lat, max_lng, center_lat, center_lng, label_lat, label_lng, id, name_en, name_it, name_es, name_fr, name_de, name_nl, name_pt
tables/provinces.csv 401 The districts: official code, abbreviation, the code of the parent, names, area, population, bounding box, centre and label point.
code, name, abbreviation, region_code, area_km2, population, min_lat, min_lng, max_lat, max_lng, center_lat, center_lng, label_lat, label_lng, id, name_en, name_it, name_es, name_fr, name_de, name_nl, name_pt
tables/municipalities.csv 10,939 The municipalities: official code, the codes of the parents, names, area, population, elevation in metres (of the centre, or lowest and highest point, as the official source gives it), bounding box, centre and label point.
code, name, province_code, province_abbreviation, region_code, cadastral_code, chief_town, area_km2, population, elevation, elevation_min, elevation_max, elevation_mean, min_lat, min_lng, max_lat, max_lng, center_lat, center_lng, label_lat, label_lng, id, name_en, name_it, name_es, name_fr, name_de, name_nl, name_pt
tables/codes.csv 11,357 Every entity in other datasets, as Wikidata declares it: the Wikidata item, ISO 3166-2, GeoNames and the OpenStreetMap relation.
id, level, code, wikidata, iso_3166_2, geonames, osm_relation
tables/names.csv 12,651 Every name an entity is written with (official, each side of a bilingual name, translated), without accents and as a slug: to match a file that has names and no codes.
id, level, name, name_ascii, slug, kind
tables/neighbours.csv 67,154 The entities of the same level that share a border, both ways, with the length of the shared border in km.
level, id, neighbour_id, shared_border_km
tables/history.csv 0 The suppressed municipalities with the one that replaced them, for archives that still have the old codes; no rows where the official source gives no history.
code, name, province_code, replaced_by_code, replaced_by_name
tables/changes.csv 0 What changed from one edition of the package to the next, one row per entity added, removed, renamed, moved or with a new boundary: the same as CHANGELOG.md.
edition, date, level, id, name, change, before, after

Files

All the 165 files of the package, with their size.

ATTRIBUTION.md3 KB
CHANGELOG.md0 KB
LICENSE.md2 KB
README.md13 KB
data/geojson/100m/country.geojson333 KB
data/geojson/100m/municipalities.geojson19.2 MB
data/geojson/100m/provinces.geojson4.2 MB
data/geojson/100m/regions.geojson979 KB
data/geojson/10km/country.geojson6 KB
data/geojson/10km/provinces.geojson158 KB
data/geojson/10km/regions.geojson19 KB
data/geojson/1km/country.geojson50 KB
data/geojson/1km/municipalities.geojson4.9 MB
data/geojson/1km/provinces.geojson666 KB
data/geojson/1km/regions.geojson145 KB
data/geojson/full/municipalities.geojson37.7 MB
data/geojson/full/provinces.geojson9.7 MB
data/geojson/full/regions.geojson2.8 MB
data/geojson/light/country.geojson38 KB
data/geojson/light/provinces.geojson655 KB
data/geojson/light/regions.geojson192 KB
data/geopackage/de.gpkg87.9 MB
data/json/tree.json954 KB
data/shapefile/100m/country.cpg0 KB
data/shapefile/100m/country.dbf0 KB
data/shapefile/100m/country.prj0 KB
data/shapefile/100m/country.shp276 KB
data/shapefile/100m/country.shx0 KB
data/shapefile/100m/municipalities.cpg0 KB
data/shapefile/100m/municipalities.dbf1.3 MB
data/shapefile/100m/municipalities.prj0 KB
data/shapefile/100m/municipalities.shp14.4 MB
data/shapefile/100m/municipalities.shx86 KB
data/shapefile/100m/provinces.cpg0 KB
data/shapefile/100m/provinces.dbf38 KB
data/shapefile/100m/provinces.prj0 KB
data/shapefile/100m/provinces.shp3.4 MB
data/shapefile/100m/provinces.shx3 KB
data/shapefile/100m/regions.cpg0 KB
data/shapefile/100m/regions.dbf1 KB
data/shapefile/100m/regions.prj0 KB
data/shapefile/100m/regions.shp809 KB
data/shapefile/100m/regions.shx0 KB
data/shapefile/10km/country.cpg0 KB
data/shapefile/10km/country.dbf0 KB
data/shapefile/10km/country.prj0 KB
data/shapefile/10km/country.shp5 KB
data/shapefile/10km/country.shx0 KB
data/shapefile/10km/provinces.cpg0 KB
data/shapefile/10km/provinces.dbf38 KB
data/shapefile/10km/provinces.prj0 KB
data/shapefile/10km/provinces.shp79 KB
data/shapefile/10km/provinces.shx3 KB
data/shapefile/10km/regions.cpg0 KB
data/shapefile/10km/regions.dbf1 KB
data/shapefile/10km/regions.prj0 KB
data/shapefile/10km/regions.shp15 KB
data/shapefile/10km/regions.shx0 KB
data/shapefile/1km/country.cpg0 KB
data/shapefile/1km/country.dbf0 KB
data/shapefile/1km/country.prj0 KB
data/shapefile/1km/country.shp41 KB
data/shapefile/1km/country.shx0 KB
data/shapefile/1km/municipalities.cpg0 KB
data/shapefile/1km/municipalities.dbf1.3 MB
data/shapefile/1km/municipalities.prj0 KB
data/shapefile/1km/municipalities.shp2.6 MB
data/shapefile/1km/municipalities.shx86 KB
data/shapefile/1km/provinces.cpg0 KB
data/shapefile/1km/provinces.dbf38 KB
data/shapefile/1km/provinces.prj0 KB
data/shapefile/1km/provinces.shp500 KB
data/shapefile/1km/provinces.shx3 KB
data/shapefile/1km/regions.cpg0 KB
data/shapefile/1km/regions.dbf1 KB
data/shapefile/1km/regions.prj0 KB
data/shapefile/1km/regions.shp119 KB
data/shapefile/1km/regions.shx0 KB
data/shapefile/full/municipalities.cpg0 KB
data/shapefile/full/municipalities.dbf1.3 MB
data/shapefile/full/municipalities.prj0 KB
data/shapefile/full/municipalities.shp29.7 MB
data/shapefile/full/municipalities.shx86 KB
data/shapefile/full/provinces.cpg0 KB
data/shapefile/full/provinces.dbf38 KB
data/shapefile/full/provinces.prj0 KB
data/shapefile/full/provinces.shp8.0 MB
data/shapefile/full/provinces.shx3 KB
data/shapefile/full/regions.cpg0 KB
data/shapefile/full/regions.dbf1 KB
data/shapefile/full/regions.prj0 KB
data/shapefile/full/regions.shp2.3 MB
data/shapefile/full/regions.shx0 KB
data/shapefile/light/country.cpg0 KB
data/shapefile/light/country.dbf0 KB
data/shapefile/light/country.prj0 KB
data/shapefile/light/country.shp32 KB
data/shapefile/light/country.shx0 KB
data/shapefile/light/provinces.cpg0 KB
data/shapefile/light/provinces.dbf38 KB
data/shapefile/light/provinces.prj0 KB
data/shapefile/light/provinces.shp491 KB
data/shapefile/light/provinces.shx3 KB
data/shapefile/light/regions.cpg0 KB
data/shapefile/light/regions.dbf1 KB
data/shapefile/light/regions.prj0 KB
data/shapefile/light/regions.shp157 KB
data/shapefile/light/regions.shx0 KB
data/topojson/100m/de.topojson7.7 MB
data/topojson/10km/de.topojson136 KB
data/topojson/1km/de.topojson3.9 MB
data/topojson/full/de.topojson12.1 MB
data/topojson/light/de.topojson472 KB
examples/choropleth-svg.html2.3 MB
examples/drill-down-d3.html1.3 MB
examples/leaflet-geojson.html658 KB
examples/lib/LICENSES.md3 KB
examples/lib/d3.min.js273 KB
examples/lib/leaflet.css14 KB
examples/lib/leaflet.js144 KB
examples/lib/topojson-client.min.js7 KB
examples/point-lookup.html4.3 MB
flags/DE-R-01.svg0 KB
flags/DE-R-02.svg2 KB
flags/DE-R-03.svg46 KB
flags/DE-R-04.svg0 KB
flags/DE-R-05.svg0 KB
flags/DE-R-06.svg0 KB
flags/DE-R-07.svg88 KB
flags/DE-R-08.svg0 KB
flags/DE-R-09.svg1 KB
flags/DE-R-10.svg187 KB
flags/DE-R-11.svg3 KB
flags/DE-R-12.svg39 KB
flags/DE-R-13.svg0 KB
flags/DE-R-14.svg0 KB
flags/DE-R-15.svg80 KB
flags/DE-R-16.svg0 KB
flags/DE.svg0 KB
sql/mysql.sql25.1 MB
sql/postgis.sql24.9 MB
sql/sqlserver.sql25.1 MB
svg/100m/layers.svg13.3 MB
svg/100m/municipalities.svg10.3 MB
svg/100m/provinces.svg2.3 MB
svg/100m/regions.svg542 KB
svg/10km/layers.svg90 KB
svg/10km/provinces.svg75 KB
svg/10km/regions.svg11 KB
svg/1km/layers.svg2.8 MB
svg/1km/municipalities.svg2.3 MB
svg/1km/provinces.svg355 KB
svg/1km/regions.svg80 KB
svg/light/layers.svg476 KB
svg/light/provinces.svg349 KB
svg/light/regions.svg106 KB
tables/changes.csv0 KB
tables/codes.csv673 KB
tables/country.csv0 KB
tables/history.csv0 KB
tables/municipalities.csv2.3 MB
tables/names.csv885 KB
tables/neighbours.csv3.1 MB
tables/provinces.csv84 KB
tables/regions.csv3 KB

The package of Germany is not on sale yet. You can try it now: get the free sample, Saarland (6 districts and 52 municipalities) with the same files and formats.