Fujian, China City & Prefecture Boundaries
9 cities and prefectures of Fujian, China — GeoJSON, shapefile (.shp), SVG, DXF, GML, KML and CSV with GB/T 2260 codes and English names.
Fujian Province at city level: 9 units, with the rest of the country drawn faintly behind them. Same fields and formats as the national file, so it drops into an existing build without a schema change.
What is in the file
| Formats | GeoJSON · SHP · SVG · 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 |
| Data current to |
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
SVG
.svgOne group per division, keyed by its code. Names sit in a layer you can hide.
PowerPoint, Illustrator, InkscapeDegrees
DXF
.dxfR12 ASCII, projected to metres, simplified to about 45 m.
AutoCAD, illustrationMetres, LCC
GML
.gmlOGC GML 3.2, latitude written before longitude.
GeoServer, XML pipelinesWGS 84
KML
.kmlStyled so it looks reasonable when you double-click it.
Google Earth, quick checksWGS 84
CSV
.csvUTF-8 with BOM, so Excel shows the Chinese names instead of squares.
Excel, pandas, joins—
Every unit in this dataset
| Code | English | Chinese |
|---|---|---|
| 350100 | Fuzhou City | 福州市 |
| 350200 | Xiamen City | 厦门市 |
| 350300 | Putian City | 莆田市 |
| 350400 | Sanming City | 三明市 |
| 350500 | Quanzhou City | 泉州市 |
| 350600 | Zhangzhou City | 漳州市 |
| 350700 | Nanping City | 南平市 |
| 350800 | Longyan City | 龙岩市 |
| 350900 | Ningde City | 宁德市 |
9 features. Every row keeps the GB/T 2260 code, so it joins to national statistics without name matching.