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South Korea administrative boundaries

17 provinces, 252 districts and 3,559 neighbourhoods, each with its official code, in GeoJSON, TopoJSON, GeoPackage, Shapefile, layered SVG, CSV and SQL.

Get the free sample

provinces: 17
districts: 252
neighbourhoods: 3,559
edition: 2025-06-30

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.

Gangnam, Seoul: its neighbourhoods, coloured by area, among the neighbouring districts.

What is in the package

Levels and identifiers

Level	Entities	Identifier
country	1	`KR`
provinces	17	`KR-R-<official code>`
districts	252	`KR-P-<official code>`
neighbourhoods	3,559	`KR-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	345.0 MB	10.1 MB	2.1 MB	178 KB	912 KB
TopoJSON	41.4 MB	2.6 MB	1.3 MB	99 KB	559 KB
Shapefile	289.9 MB	7.7 MB	1.6 MB	135 KB	698 KB
SVG	-	9.7 MB	1.9 MB	126 KB	886 KB

full: the boundaries as published by the source.
100m: simplified within 100 m and coherent: neighbourhoods, districts and provinces 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, provinces and districts only: small maps and maps of many countries.
light: country, provinces 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/kr.gpkg (308.3 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 (10.2 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 (318 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.

File	Rows	Content
`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`	17	The provinces: 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`	252	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`	3,559	The neighbourhoods: 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`	3,829	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`	3,894	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`	21,474	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 neighbourhoods 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

Sources and licenses

The package is a derived work of the official datasets below; their publishers do not endorse it. What you may do with it is in the license of the packages.

Files

All the 149 files of the package, with their size.

`ATTRIBUTION.md`	2 KB
`CHANGELOG.md`	0 KB
`LICENSE.md`	2 KB
`README.md`	12 KB
`data/geojson/100m/country.geojson`	821 KB
`data/geojson/100m/municipalities.geojson`	6.0 MB
`data/geojson/100m/provinces.geojson`	2.2 MB
`data/geojson/100m/regions.geojson`	1.1 MB
`data/geojson/10km/country.geojson`	26 KB
`data/geojson/10km/provinces.geojson`	115 KB
`data/geojson/10km/regions.geojson`	37 KB
`data/geojson/1km/country.geojson`	82 KB
`data/geojson/1km/municipalities.geojson`	1.6 MB
`data/geojson/1km/provinces.geojson`	341 KB
`data/geojson/1km/regions.geojson`	132 KB
`data/geojson/full/municipalities.geojson`	149.4 MB
`data/geojson/full/provinces.geojson`	104.0 MB
`data/geojson/full/regions.geojson`	91.6 MB
`data/geojson/light/country.geojson`	41 KB
`data/geojson/light/provinces.geojson`	664 KB
`data/geojson/light/regions.geojson`	206 KB
`data/geopackage/kr.gpkg`	308.3 MB
`data/json/tree.json`	318 KB
`data/shapefile/100m/country.cpg`	0 KB
`data/shapefile/100m/country.dbf`	0 KB
`data/shapefile/100m/country.prj`	0 KB
`data/shapefile/100m/country.shp`	635 KB
`data/shapefile/100m/country.shx`	0 KB
`data/shapefile/100m/municipalities.cpg`	0 KB
`data/shapefile/100m/municipalities.dbf`	317 KB
`data/shapefile/100m/municipalities.prj`	0 KB
`data/shapefile/100m/municipalities.shp`	4.2 MB
`data/shapefile/100m/municipalities.shx`	28 KB
`data/shapefile/100m/provinces.cpg`	0 KB
`data/shapefile/100m/provinces.dbf`	19 KB
`data/shapefile/100m/provinces.prj`	0 KB
`data/shapefile/100m/provinces.shp`	1.6 MB
`data/shapefile/100m/provinces.shx`	2 KB
`data/shapefile/100m/regions.cpg`	0 KB
`data/shapefile/100m/regions.dbf`	1 KB
`data/shapefile/100m/regions.prj`	0 KB
`data/shapefile/100m/regions.shp`	902 KB
`data/shapefile/100m/regions.shx`	0 KB
`data/shapefile/10km/country.cpg`	0 KB
`data/shapefile/10km/country.dbf`	0 KB
`data/shapefile/10km/country.prj`	0 KB
`data/shapefile/10km/country.shp`	21 KB
`data/shapefile/10km/country.shx`	0 KB
`data/shapefile/10km/provinces.cpg`	0 KB
`data/shapefile/10km/provinces.dbf`	19 KB
`data/shapefile/10km/provinces.prj`	0 KB
`data/shapefile/10km/provinces.shp`	62 KB
`data/shapefile/10km/provinces.shx`	2 KB
`data/shapefile/10km/regions.cpg`	0 KB
`data/shapefile/10km/regions.dbf`	1 KB
`data/shapefile/10km/regions.prj`	0 KB
`data/shapefile/10km/regions.shp`	28 KB
`data/shapefile/10km/regions.shx`	0 KB
`data/shapefile/1km/country.cpg`	0 KB
`data/shapefile/1km/country.dbf`	0 KB
`data/shapefile/1km/country.prj`	0 KB
`data/shapefile/1km/country.shp`	64 KB
`data/shapefile/1km/country.shx`	0 KB
`data/shapefile/1km/municipalities.cpg`	0 KB
`data/shapefile/1km/municipalities.dbf`	317 KB
`data/shapefile/1km/municipalities.prj`	0 KB
`data/shapefile/1km/municipalities.shp`	817 KB
`data/shapefile/1km/municipalities.shx`	28 KB
`data/shapefile/1km/provinces.cpg`	0 KB
`data/shapefile/1km/provinces.dbf`	19 KB
`data/shapefile/1km/provinces.prj`	0 KB
`data/shapefile/1km/provinces.shp`	237 KB
`data/shapefile/1km/provinces.shx`	2 KB
`data/shapefile/1km/regions.cpg`	0 KB
`data/shapefile/1km/regions.dbf`	1 KB
`data/shapefile/1km/regions.prj`	0 KB
`data/shapefile/1km/regions.shp`	102 KB
`data/shapefile/1km/regions.shx`	0 KB
`data/shapefile/full/municipalities.cpg`	0 KB
`data/shapefile/full/municipalities.dbf`	317 KB
`data/shapefile/full/municipalities.prj`	0 KB
`data/shapefile/full/municipalities.shp`	123.1 MB
`data/shapefile/full/municipalities.shx`	28 KB
`data/shapefile/full/provinces.cpg`	0 KB
`data/shapefile/full/provinces.dbf`	19 KB
`data/shapefile/full/provinces.prj`	0 KB
`data/shapefile/full/provinces.shp`	88.0 MB
`data/shapefile/full/provinces.shx`	2 KB
`data/shapefile/full/regions.cpg`	0 KB
`data/shapefile/full/regions.dbf`	1 KB
`data/shapefile/full/regions.prj`	0 KB
`data/shapefile/full/regions.shp`	78.4 MB
`data/shapefile/full/regions.shx`	0 KB
`data/shapefile/light/country.cpg`	0 KB
`data/shapefile/light/country.dbf`	0 KB
`data/shapefile/light/country.prj`	0 KB
`data/shapefile/light/country.shp`	32 KB
`data/shapefile/light/country.shx`	0 KB
`data/shapefile/light/provinces.cpg`	0 KB
`data/shapefile/light/provinces.dbf`	19 KB
`data/shapefile/light/provinces.prj`	0 KB
`data/shapefile/light/provinces.shp`	484 KB
`data/shapefile/light/provinces.shx`	2 KB
`data/shapefile/light/regions.cpg`	0 KB
`data/shapefile/light/regions.dbf`	1 KB
`data/shapefile/light/regions.prj`	0 KB
`data/shapefile/light/regions.shp`	159 KB
`data/shapefile/light/regions.shx`	0 KB
`data/topojson/100m/kr.topojson`	2.6 MB
`data/topojson/10km/kr.topojson`	99 KB
`data/topojson/1km/kr.topojson`	1.3 MB
`data/topojson/full/kr.topojson`	41.4 MB
`data/topojson/light/kr.topojson`	559 KB
`examples/choropleth-svg.html`	1.1 MB
`examples/drill-down-d3.html`	877 KB
`examples/leaflet-geojson.html`	667 KB
`examples/lib/LICENSES.md`	3 KB
`examples/lib/d3.min.js`	273 KB
`examples/lib/leaflet.css`	14 KB
`examples/lib/leaflet.js`	144 KB
`examples/lib/topojson-client.min.js`	7 KB
`examples/point-lookup.html`	2.2 MB
`flags/KR.svg`	1 KB
`sql/mysql.sql`	10.2 MB
`sql/postgis.sql`	10.2 MB
`sql/sqlserver.sql`	10.3 MB
`svg/100m/layers.svg`	5.0 MB
`svg/100m/municipalities.svg`	3.0 MB
`svg/100m/provinces.svg`	1.1 MB
`svg/100m/regions.svg`	583 KB
`svg/10km/layers.svg`	66 KB
`svg/10km/provinces.svg`	47 KB
`svg/10km/regions.svg`	13 KB
`svg/1km/layers.svg`	988 KB
`svg/1km/municipalities.svg`	734 KB
`svg/1km/provinces.svg`	160 KB
`svg/1km/regions.svg`	60 KB
`svg/light/layers.svg`	453 KB
`svg/light/provinces.svg`	332 KB
`svg/light/regions.svg`	101 KB
`tables/changes.csv`	0 KB
`tables/codes.csv`	155 KB
`tables/country.csv`	0 KB
`tables/history.csv`	0 KB
`tables/municipalities.csv`	728 KB
`tables/names.csv`	227 KB
`tables/neighbours.csv`	1,012 KB
`tables/provinces.csv`	49 KB
`tables/regions.csv`	3 KB

The package of South Korea is not on sale yet. You can try it now: get the free sample, Ulsan (5 districts and 55 neighbourhoods) with the same files and formats.