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Language: EN

Romania administrative boundaries

42 counties and 3,181 municipalities, each with its official code, in GeoJSON, TopoJSON, GeoPackage, Shapefile, layered SVG, CSV and SQL.

Get the free sample
counties
42
municipalities
3,181
edition
Outline of Romania

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.

Cluj County: its municipalities, coloured by area, among the neighbouring counties.

What is in the package

Levels and identifiers

LevelEntitiesIdentifier
country1RO
counties42RO-P-<official code>
municipalities3,181RO-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 98.6 MB 8.5 MB 1.8 MB 22 KB 625 KB
TopoJSON 18.0 MB 2.6 MB 1.1 MB 15 KB 262 KB
Shapefile 79.9 MB 6.8 MB 1.4 MB 17 KB 505 KB
SVG - 9.0 MB 1.8 MB 22 KB 656 KB
  • full: the boundaries as published by the source.
  • 100m: simplified within 100 m and coherent: municipalities and counties 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 and counties only: small maps and maps of many countries.
  • light: country and counties 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/ro.gpkg (95.8 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 (8.6 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 (247 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/provinces.csv 42 The counties: 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 3,181 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 3,224 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 3,858 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 18,902 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 114 files of the package, with their size.

ATTRIBUTION.md2 KB
CHANGELOG.md0 KB
LICENSE.md2 KB
README.md11 KB
data/geojson/100m/country.geojson116 KB
data/geojson/100m/municipalities.geojson7.5 MB
data/geojson/100m/provinces.geojson982 KB
data/geojson/10km/country.geojson2 KB
data/geojson/10km/provinces.geojson20 KB
data/geojson/1km/country.geojson18 KB
data/geojson/1km/municipalities.geojson1.7 MB
data/geojson/1km/provinces.geojson147 KB
data/geojson/full/municipalities.geojson85.6 MB
data/geojson/full/provinces.geojson13.0 MB
data/geojson/light/country.geojson39 KB
data/geojson/light/provinces.geojson586 KB
data/geopackage/ro.gpkg95.8 MB
data/json/tree.json247 KB
data/shapefile/100m/country.cpg0 KB
data/shapefile/100m/country.dbf0 KB
data/shapefile/100m/country.prj0 KB
data/shapefile/100m/country.shp94 KB
data/shapefile/100m/country.shx0 KB
data/shapefile/100m/municipalities.cpg0 KB
data/shapefile/100m/municipalities.dbf243 KB
data/shapefile/100m/municipalities.prj0 KB
data/shapefile/100m/municipalities.shp5.6 MB
data/shapefile/100m/municipalities.shx25 KB
data/shapefile/100m/provinces.cpg0 KB
data/shapefile/100m/provinces.dbf3 KB
data/shapefile/100m/provinces.prj0 KB
data/shapefile/100m/provinces.shp790 KB
data/shapefile/100m/provinces.shx0 KB
data/shapefile/10km/country.cpg0 KB
data/shapefile/10km/country.dbf0 KB
data/shapefile/10km/country.prj0 KB
data/shapefile/10km/country.shp1 KB
data/shapefile/10km/country.shx0 KB
data/shapefile/10km/provinces.cpg0 KB
data/shapefile/10km/provinces.dbf3 KB
data/shapefile/10km/provinces.prj0 KB
data/shapefile/10km/provinces.shp12 KB
data/shapefile/10km/provinces.shx0 KB
data/shapefile/1km/country.cpg0 KB
data/shapefile/1km/country.dbf0 KB
data/shapefile/1km/country.prj0 KB
data/shapefile/1km/country.shp14 KB
data/shapefile/1km/country.shx0 KB
data/shapefile/1km/municipalities.cpg0 KB
data/shapefile/1km/municipalities.dbf243 KB
data/shapefile/1km/municipalities.prj0 KB
data/shapefile/1km/municipalities.shp988 KB
data/shapefile/1km/municipalities.shx25 KB
data/shapefile/1km/provinces.cpg0 KB
data/shapefile/1km/provinces.dbf3 KB
data/shapefile/1km/provinces.prj0 KB
data/shapefile/1km/provinces.shp115 KB
data/shapefile/1km/provinces.shx0 KB
data/shapefile/full/municipalities.cpg0 KB
data/shapefile/full/municipalities.dbf243 KB
data/shapefile/full/municipalities.prj0 KB
data/shapefile/full/municipalities.shp69.0 MB
data/shapefile/full/municipalities.shx25 KB
data/shapefile/full/provinces.cpg0 KB
data/shapefile/full/provinces.dbf3 KB
data/shapefile/full/provinces.prj0 KB
data/shapefile/full/provinces.shp10.6 MB
data/shapefile/full/provinces.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.dbf3 KB
data/shapefile/light/provinces.prj0 KB
data/shapefile/light/provinces.shp470 KB
data/shapefile/light/provinces.shx0 KB
data/topojson/100m/ro.topojson2.6 MB
data/topojson/10km/ro.topojson15 KB
data/topojson/1km/ro.topojson1.1 MB
data/topojson/full/ro.topojson18.0 MB
data/topojson/light/ro.topojson262 KB
examples/choropleth-svg.html537 KB
examples/drill-down-d3.html304 KB
examples/leaflet-geojson.html589 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.html996 KB
flags/RO.svg0 KB
sql/mysql.sql8.7 MB
sql/postgis.sql8.6 MB
sql/sqlserver.sql8.7 MB
svg/100m/layers.svg4.5 MB
svg/100m/municipalities.svg3.9 MB
svg/100m/provinces.svg532 KB
svg/10km/layers.svg11 KB
svg/10km/provinces.svg10 KB
svg/1km/layers.svg908 KB
svg/1km/municipalities.svg820 KB
svg/1km/provinces.svg79 KB
svg/light/layers.svg338 KB
svg/light/provinces.svg317 KB
tables/changes.csv0 KB
tables/codes.csv167 KB
tables/country.csv0 KB
tables/history.csv0 KB
tables/municipalities.csv612 KB
tables/names.csv242 KB
tables/neighbours.csv832 KB
tables/provinces.csv8 KB

The package of Romania is not on sale yet. You can try it now: get the free sample, Tulcea (51 municipalities) with the same files and formats.