Jilin, China City & Prefecture Boundaries
9 cities and prefectures of Jilin, China — GeoJSON, shapefile (.shp), SVG, DXF, GML, KML and CSV with GB/T 2260 codes and English names.
Jilin 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 |
|---|---|---|
| 220100 | Changchun City | 长春市 |
| 220200 | Jilin City | 吉林市 |
| 220300 | Siping City | 四平市 |
| 220400 | Liaoyuan City | 辽源市 |
| 220500 | Tonghua City | 通化市 |
| 220600 | Baishan City | 白山市 |
| 220700 | Songyuan City | 松原市 |
| 220800 | Baicheng City | 白城市 |
| 222400 | Yanbian Korean Autonomous Prefecture | 延边朝鲜族自治州 |
9 features. Every row keeps the GB/T 2260 code, so it joins to national statistics without name matching.