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Language: EN

Czech Republic administrative boundaries

14 regions, 77 districts and 6,258 municipalities, each with its official code, in GeoJSON, TopoJSON, GeoPackage, Shapefile, layered SVG, CSV and SQL.

Get the free sample
regions
14
districts
77
municipalities
6,258
edition
Outline of Czech Republic

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.

South Moravian Region: the municipalities of the district of Brno-Country, coloured by area, among the other districts.

What is in the package

Levels and identifiers

LevelEntitiesIdentifier
country1CZ
regions14CZ-R-<official code>
districts77CZ-P-<official code>
municipalities6,258CZ-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 122.2 MB 9.8 MB 2.7 MB 40 KB 828 KB
TopoJSON 21.4 MB 3.5 MB 2.0 MB 27 KB 353 KB
Shapefile 99.1 MB 7.8 MB 2.1 MB 30 KB 668 KB
SVG - 10.1 MB 2.5 MB 39 KB 875 KB
  • full: the boundaries as published by the source.
  • 100m: simplified within 100 m and coherent: municipalities, districts and regions 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, regions and districts only: small maps and maps of many countries.
  • At the borders with the neighbouring countries (Austria, Germany, Poland and Slovakia) the 100m, 1km and 10km boundaries share the same vertices as in their packages, so the maps fit without gaps or overlaps.
  • light: country, regions 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/cz.gpkg (120.6 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 (9.9 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 (497 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 14 The regions: 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 77 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 6,258 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 6,350 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 7,413 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 37,452 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 149 files of the package, with their size.

ATTRIBUTION.md2 KB
CHANGELOG.md0 KB
LICENSE.md2 KB
README.md12 KB
data/geojson/100m/country.geojson111 KB
data/geojson/100m/municipalities.geojson8.2 MB
data/geojson/100m/provinces.geojson1.1 MB
data/geojson/100m/regions.geojson468 KB
data/geojson/10km/country.geojson2 KB
data/geojson/10km/provinces.geojson29 KB
data/geojson/10km/regions.geojson8 KB
data/geojson/1km/country.geojson18 KB
data/geojson/1km/municipalities.geojson2.4 MB
data/geojson/1km/provinces.geojson173 KB
data/geojson/1km/regions.geojson71 KB
data/geojson/full/municipalities.geojson99.2 MB
data/geojson/full/provinces.geojson15.6 MB
data/geojson/full/regions.geojson7.4 MB
data/geojson/light/country.geojson39 KB
data/geojson/light/provinces.geojson594 KB
data/geojson/light/regions.geojson195 KB
data/geopackage/cz.gpkg120.6 MB
data/json/tree.json497 KB
data/shapefile/100m/country.cpg0 KB
data/shapefile/100m/country.dbf0 KB
data/shapefile/100m/country.prj0 KB
data/shapefile/100m/country.shp90 KB
data/shapefile/100m/country.shx0 KB
data/shapefile/100m/municipalities.cpg0 KB
data/shapefile/100m/municipalities.dbf679 KB
data/shapefile/100m/municipalities.prj0 KB
data/shapefile/100m/municipalities.shp5.8 MB
data/shapefile/100m/municipalities.shx49 KB
data/shapefile/100m/provinces.cpg0 KB
data/shapefile/100m/provinces.dbf5 KB
data/shapefile/100m/provinces.prj0 KB
data/shapefile/100m/provinces.shp864 KB
data/shapefile/100m/provinces.shx1 KB
data/shapefile/100m/regions.cpg0 KB
data/shapefile/100m/regions.dbf1 KB
data/shapefile/100m/regions.prj0 KB
data/shapefile/100m/regions.shp378 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.shp2 KB
data/shapefile/10km/country.shx0 KB
data/shapefile/10km/provinces.cpg0 KB
data/shapefile/10km/provinces.dbf5 KB
data/shapefile/10km/provinces.prj0 KB
data/shapefile/10km/provinces.shp14 KB
data/shapefile/10km/provinces.shx1 KB
data/shapefile/10km/regions.cpg0 KB
data/shapefile/10km/regions.dbf1 KB
data/shapefile/10km/regions.prj0 KB
data/shapefile/10km/regions.shp6 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.shp15 KB
data/shapefile/1km/country.shx0 KB
data/shapefile/1km/municipalities.cpg0 KB
data/shapefile/1km/municipalities.dbf679 KB
data/shapefile/1km/municipalities.prj0 KB
data/shapefile/1km/municipalities.shp1.2 MB
data/shapefile/1km/municipalities.shx49 KB
data/shapefile/1km/provinces.cpg0 KB
data/shapefile/1km/provinces.dbf5 KB
data/shapefile/1km/provinces.prj0 KB
data/shapefile/1km/provinces.shp131 KB
data/shapefile/1km/provinces.shx1 KB
data/shapefile/1km/regions.cpg0 KB
data/shapefile/1km/regions.dbf1 KB
data/shapefile/1km/regions.prj0 KB
data/shapefile/1km/regions.shp56 KB
data/shapefile/1km/regions.shx0 KB
data/shapefile/full/municipalities.cpg0 KB
data/shapefile/full/municipalities.dbf679 KB
data/shapefile/full/municipalities.prj0 KB
data/shapefile/full/municipalities.shp79.7 MB
data/shapefile/full/municipalities.shx49 KB
data/shapefile/full/provinces.cpg0 KB
data/shapefile/full/provinces.dbf5 KB
data/shapefile/full/provinces.prj0 KB
data/shapefile/full/provinces.shp12.7 MB
data/shapefile/full/provinces.shx1 KB
data/shapefile/full/regions.cpg0 KB
data/shapefile/full/regions.dbf1 KB
data/shapefile/full/regions.prj0 KB
data/shapefile/full/regions.shp6.0 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.shp31 KB
data/shapefile/light/country.shx0 KB
data/shapefile/light/provinces.cpg0 KB
data/shapefile/light/provinces.dbf5 KB
data/shapefile/light/provinces.prj0 KB
data/shapefile/light/provinces.shp472 KB
data/shapefile/light/provinces.shx1 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/cz.topojson3.5 MB
data/topojson/10km/cz.topojson27 KB
data/topojson/1km/cz.topojson2.0 MB
data/topojson/full/cz.topojson21.4 MB
data/topojson/light/cz.topojson353 KB
examples/choropleth-svg.html591 KB
examples/drill-down-d3.html333 KB
examples/leaflet-geojson.html597 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.html1.1 MB
flags/CZ.svg0 KB
sql/mysql.sql10.0 MB
sql/postgis.sql9.9 MB
sql/sqlserver.sql10.0 MB
svg/100m/layers.svg5.1 MB
svg/100m/municipalities.svg4.2 MB
svg/100m/provinces.svg584 KB
svg/100m/regions.svg255 KB
svg/10km/layers.svg20 KB
svg/10km/provinces.svg14 KB
svg/10km/regions.svg5 KB
svg/1km/layers.svg1.2 MB
svg/1km/municipalities.svg1.1 MB
svg/1km/provinces.svg92 KB
svg/1km/regions.svg39 KB
svg/light/layers.svg448 KB
svg/light/provinces.svg321 KB
svg/light/regions.svg106 KB
tables/changes.csv0 KB
tables/codes.csv361 KB
tables/country.csv0 KB
tables/history.csv0 KB
tables/municipalities.csv1.2 MB
tables/names.csv500 KB
tables/neighbours.csv1.6 MB
tables/provinces.csv15 KB
tables/regions.csv3 KB

The package of Czech Republic is not on sale yet. You can try it now: get the free sample, Karlovy Vary (3 districts and 134 municipalities) with the same files and formats.