China Administrative BoundariesGB/T 2260 · WGS 84 Browse datasets

Shaanxi, China City & Prefecture Boundaries

10 cities and prefectures of Shaanxi, China — GeoJSON, shapefile (.shp), SVG, DXF, GML, KML and CSV with GB/T 2260 codes and English names.

Shaanxi, China City & Prefecture Boundaries map preview

Shaanxi Province at city level: 10 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

FormatsGeoJSON · SHP · SVG · DXF · GML · KML · CSV, one zip
Coordinate systemWGS 84 · EPSG:4326 · decimal degrees
GeometryMultiPolygon — one feature per division
Codes6-digit GB/T 2260, e.g. 440300
Namesname_en and name_zh on every feature
Hierarchyprovince_code → city_code → code
Extrasparts, center_lon, center_lat, bbox
LicenceCommercial use, one organisation, no attribution required
DeliveryInstant download; links re-issued whenever you open them
Data current to
GeoJSON.geojson

RFC 7946, the reference version of the data.

Code, web maps, PostGISWGS 84
Shapefile.shp

With .shx, .dbf, .prj and .cpg. UTF-8 attributes intact.

ArcGIS, QGIS projectsWGS 84
SVG.svg

One group per division, keyed by its code. Names sit in a layer you can hide.

PowerPoint, Illustrator, InkscapeDegrees
DXF.dxf

R12 ASCII, projected to metres, simplified to about 45 m.

AutoCAD, illustrationMetres, LCC
GML.gml

OGC GML 3.2, latitude written before longitude.

GeoServer, XML pipelinesWGS 84
KML.kml

Styled so it looks reasonable when you double-click it.

Google Earth, quick checksWGS 84
CSV.csv

UTF-8 with BOM, so Excel shows the Chinese names instead of squares.

Excel, pandas, joins—

Every unit in this dataset

CodeEnglishChinese
610100Xi'an City西安市
610200Tongchuan City铜川市
610300Baoji City宝鸡市
610400Xianyang City咸阳市
610500Weinan City渭南市
610600Yan'an City延安市
610700Hanzhong City汉中市
610800Yulin City榆林市
610900Ankang City安康市
611000Shangluo City商洛市
10 features. Every row keeps the GB/T 2260 code, so it joins to national statistics without name matching.