Level 1
34 units
China Province Boundaries — GeoJSON, Shapefile, DXF
$19.99one-time
- 34 province-level divisions
- Maritime boundary lines included
- GeoJSON, SHP, DXF, GML, KML, CSV
China · Administrative boundaries
China administrative boundaries, ready for your map.
Thirty-four provinces, 368 prefectures, 2,890 counties. One hierarchy with GB/T 2260 codes and English names alongside the Chinese — delivered as GeoJSON, shapefile, DXF, GML, KML and CSV, from national coverage down to a single county.
The datasets
Three levels. One schema.
Buy the whole country, or a single province. Every file carries the same fields and the same seven formats, so a provincial subset drops straight into a national build. The levels follow the Admin 1–3 convention used by GADM and geoBoundaries: Admin 1 is the province, Admin 2 the prefecture, Admin 3 the county.
Level 2
368 units
China City & Prefecture Boundaries — GeoJSON, Shapefile, DXF
$59.99one-time
- 368 prefectures & cities
- Province code on every feature
- GeoJSON, SHP, DXF, GML, KML, CSV
Level 3
2,890 units
China County & District Boundaries — GeoJSON, Shapefile, DXF
$99.99one-time
- 2,890 counties & districts
- Parent province and city on every row
- GeoJSON, SHP, DXF, GML, KML, CSV
By province
All 34 provinces
Or buy one province at a time.
City level $19.99 · County level $39.99, per province. Same schema, smaller file, no national coverage you will never draw.
Guangdong, China21 cities · 124 counties
from $19.99
Zhejiang, China11 cities · 90 counties
from $19.99
Jiangsu, China13 cities · 95 counties
from $19.99
Shandong, China16 cities · 136 counties
from $19.99
Sichuan, China21 cities · 183 counties
from $19.99
Henan, China18 cities · 157 counties
from $19.99
Hebei, China11 cities · 167 counties
from $19.99
Shanghai, China16 districts
from $39.99
What you get
Formats & schema
No tidying up required.
The same geometry in seven formats, so the file opens whether you work in QGIS, ArcGIS, AutoCAD, PostgreSQL or a spreadsheet.
Six formats, one download
GeoJSON
.geojsonRFC 7946, the reference version of the data.
Code, web maps, PostGISWGS 84
Shapefile
.shpWith .shx, .dbf, .prj and .cpg — UTF-8 attributes intact.
ArcGIS, QGIS projectsWGS 84
DXF
.dxfR12 ASCII, projected to metres, simplified to ~45 m.
AutoCAD, illustrationMetres, LCC
GML
.gmlOGC GML 3.2, lat/lon axis order.
GeoServer, XML pipelinesWGS 84
KML
.kmlStyled for a readable default view.
Google Earth, quick checksWGS 84
CSV
.csvUTF-8 with BOM, so Excel shows Chinese correctly.
Excel, pandas, joins—
| Formats | GeoJSON · SHP · DXF · GML · KML · CSV, one zip |
|---|---|
| Coordinate system | WGS 84 · EPSG:4326 · decimal degrees |
| Geometry | MultiPolygon — one feature per division |
| Codes | 6-digit GB/T 2260, e.g. 440300 |
| Names | name_en and name_zh on every feature |
| Hierarchy | province_code → city_code → code |
| Extras | parts, center_lon, center_lat, bbox |
| Licence | Commercial use, one organisation, no attribution required |
| Delivery | Instant download; links re-issued whenever you open them |
Made for the parts that are tedious.
01
Codes, not guesses
Every feature carries its six-digit GB/T 2260 code. Join it to National Bureau of Statistics tables without fuzzy name matching, and stop reconciling spellings.
02
Bilingual by default
name_en and name_zh sit side by side, so one file labels a map in either language and no lookup table is needed at render time.
03
Six formats, no conversion
GeoJSON, shapefile, DXF, GML, KML and CSV from the same geometry — the CAD user and the data engineer in the same team both get a file they can open.
04
Opens where you work
WGS 84 everywhere except the DXF, which is projected to metres so CAD behaves. Drag into QGIS, ogr2ogr into PostGIS, or read it straight into pandas.
Open it before you buy.
The city layer for Zhejiang, China — free and without a signup: eleven features, the full field set, all seven formats — the same data you would be buying.
Questions
What exactly do I get?
One zip containing the dataset in seven formats — GeoJSON, shapefile, SVG, DXF, GML, KML and CSV — plus a README and the licence. One payment, one download link, no subscription.
Which format should I use?
GeoJSON if you are writing code or using Mapbox/Leaflet; shapefile for ArcGIS and QGIS projects; DXF for AutoCAD and Illustrator; GML for GeoServer and XML pipelines; KML for Google Earth; CSV for the attribute table alone.
Is the data up to date?
The division list follows current GB/T 2260 codes, including recent county-level changes. Every file records the date it was generated.
Can I use it commercially?
Yes. One purchase covers one organisation, including client work. The one thing you may not do is resell the data as a dataset.