Uh oh!
There was an error while loading.Please reload this page.
- Notifications
You must be signed in to change notification settings - Fork578
🇨🇳 Complete and updated China administrative divisions (province, city, county, town) in JSON, CSV, and SQL formats 🇨🇳最全最新中国【省、市、区县、乡镇街道】json,csv,sql数据
License
uiwjs/province-city-china
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
中华人民共和国行政区划(五级):省级、地级、县级、乡级和村级。来自中华人民共和国民政部,用于查询中国省,市和区数据的网站。
数据更新时间:2021/03/22 15:39:04 GMT+0800 (中国标准时间)- 数据更新 2022/03/22
- 数据更新 2022/03/22
- 数据更新 2022/02/08
- 数据更新 2021/05/11
- 数据更新 2020/11/24
- 数据更新 2020/11/05
- 数据更新 2020/07/28 县以上行政区【没变】,县以下发生变更
- 数据更新 2020/03/30
- 数据更新 2020/03/06
- 数据更新 2019/12/24
- 数据更新 2019/11/25
- 数据更新 2019/11/05
- 数据更新 2019/06/21
npm install province-city-china --save-dev
| 包名 | 说明 | 版本 | 大小 |
|---|---|---|---|
| province-city-china | 包含所有包内容 | - | |
| @province-city-china/country | 国家和地区代码列表 | ||
| @province-city-china/data | 总数据(省/地/县/乡) | ||
| @province-city-china/province | 省级(省/直辖市/特别行政区) | ||
| @province-city-china/city | 地级(城市) | ||
| @province-city-china/area | 县级(区县) | ||
| @province-city-china/town | 乡级(乡镇/街) | ||
| @province-city-china/level | 总数据(省/地/县)层级数据 | ||
| @province-city-china/utils | 提供使用数据方法 | ||
| @province-city-china/types | 类型文件 | - | |
| @province-city-china/district-code | 国内长途电话区号 | - |
const{ data, province, city, area, town}=require('province-city-china/data');
data- 总数据(省/地/县/乡)province- 省级(省/直辖市/特别行政区)city- 地级(城市)area- 县级(区县)town- 乡级(乡镇/街)
所有数据
constprovinces=require('province-city-china/dist/data.json');// provinces 输出 ===>[{"code":"110000","name":"北京市","province":"11","city":0,"area":0,"town":0},{"code":"110101","name":"东城区","province":"11","city":"01","area":"01","town":0},{"code":"110102","name":"西城区","province":"11","city":"01","area":"02","town":0},{"code":"110105","name":"朝阳区","province":"11","city":"01","area":"05","town":0}, ....]
规则:
province - 省级(省/直辖市/特别行政区)-city=0,area=0,town=0city - 地级(城市)-area=0,town=0area - 县级(区县)-town=0其它不为0town - 乡级(乡镇/街)- 所有值不为0
province第一位表示:华北区1,东北区2,华东区3,中南区4,西南区5,西北区6。 如湖北省 -> 42以4开头,表示为中南区。
获取城市数据
constcity=require('province-city-china/dist/city.json');// city 输出 ===>[{"code":"01","name":"石家庄市","province":"13"},{"code":"02","name":"唐山市","province":"13"},{"code":"03","name":"秦皇岛市","province":"13"},{"code":"04","name":"邯郸市","province":"13"},{"code":"05","name":"邢台市","province":"13"}, ....]
说明:
code- 城市代码name- 城市名称province- 省/直辖市/特别行政区代码
可以通过UNPKG 下载使用
CDN资源:https://unpkg.com/province-city-china/dist/
| 文件列表 | JSON | CSV | SQL | CDN |
|---|---|---|---|---|
| 国家和地区代码列表(#13) | country.json (min) | country.csv | - | csv /json |
| 总数据(省/地/县/乡) | data.json (min) | data.csv | data.sql | data.sql /csv /json |
| 总数据(省/地/县)层级数据 | level.json (min) | - | - | level.json |
| 省级(省/直辖市/特别行政区) | province.json (min) | province.csv | - | province.json /csv |
| 地级(城市) | city.json (min) | city.csv | - | city.json /csv |
| 县级(区县) | area.json (min) | area.csv | - | area.json /csv |
| 乡级(乡镇/街) | town.json (min) | town.csv | - | town.json /csv |
| 县市区没有乡级数据 | not-found-town.json (min) | - | - | not-found-town.json |
| 香港澳门<区>数据 | hongkong.json macau.json | hongkong.csv /macau.csv | - | hongkong.json (csv) macau.json (csv) |
| 国内长途电话区号 | district-code.json | district-code.csv | - | district-code.json /csv |
更多 CDN 数据访问
- https://unpkg.com/province-city-china/dist/city.json
- https://raw.githack.com/uiwjs/province-city-china/gh-pages/city.json
- https://cdn.statically.io/gh/uiwjs/province-city-china/gh-pages/city.json
✅><省>数据:34 ✔ 数据保存: data/province.json ✔ 数据保存: data/province.csv ✔ 数据保存: data/province.min.json✅><市>数据:337 ✔ 数据保存: data/city.json ✔ 数据保存: data/city.csv ✔ 数据保存: data/city.min.json✅><区>数据:2846 ✔ 数据保存: data/area.json ✔ 数据保存: data/area.csv ✔ 数据保存: data/area.min.json✅><省><市><区>总数据:3217 ✔ 数据保存: data/data.json ✔ 数据保存: data/data.min.json ✔ 数据保存: data/data.csv✅><省市区>层级数据: ✔ 数据保存: data/level.json ✔ 数据保存: data/level.min.json
country.json |country.min.json |country.csv
id=序号、cnname=中文简称、name=英文简称、fullname=英文全称、alpha2=两字母代码、alpha3=三字母代码、numeric=数字代码
[{"id":1,"cnname":"阿富汗","name":"Afghanistan","fullname":"the Islamic Republic of Afghanistan","alpha2":"AF","alpha3":"AFG","town":4},{"id":45,"cnname":"中国","name":"China","fullname":"the People's Republic of China","alpha2":"CN","alpha3":"CHN","town":156}// ...]
压缩数据说明country.min.json
id:'i'cnname:'c'name:'n'fullname:'f'alpha2:'a2'alpha3:'a3'numeric:'r'
data.json |data.min.json |data.csv |data.sql
包含香港澳门<区>数据
[{"code":"110000","name":"北京市","province":"11","city":0,"area":0,"town":0},// ...]
压缩数据说明data.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'town:'t'
包含香港澳门<区>数据
[{"code":"420000","name":"湖北省","province":"42","children":[{"code":"420100","name":"武汉市","province":"42","city":"01","children":[{"code":"420102","name":"江岸区","province":"42","city":"01","area":"02"},// ...]}// ...]}// ...]
压缩数据说明level.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'children:'d'
province.json |province.min.json |province.csv
[{"code":"110000","name":"北京市","province":"11"},{"code":"120000","name":"天津市","province":"12"},// ...]
压缩数据说明level.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'children:'d'
city.json |city.min.json |city.csv
[{"code":"130100","name":"石家庄市","province":"13","city":"01"},// ...]
压缩数据说明city.min.json
code:'c'name:'n'province:'p'city:'y'
area.json |area.min.json |area.csv
[{"code":"110101","name":"东城区","province":"11","city":"01","area":"01"},// ...]
压缩数据说明city.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'
town.json |town.min.json |town.csv
[{"code":"110101001000","name":"东华门街道","province":"11","city":"01","area":"01","town":"001000"},// ...]
压缩数据说明city.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'town:'t'
not-found-town.json |not-found-town.min.json
[{"code":"659010","name":"胡杨河市","province":"65","city":"90","area":"10","town":0},// ...]
压缩数据说明not-found-town.min.json
code:'c'name:'n'province:'p'city:'y'area:'a'town:'t'
hongkong.json |hongkong.csv |macau.json |macau.csv
[{"code":"810002","name":"湾仔区","province":"81","city":"00","area":"02"},// ...]
district-code.json |district-code.csv
[{"name":"北京市","code":"010"},// ...]
在中华人民共和国民政部-总省市区数据 上有完整的公开省市区数据。
获取省数据:http://www.mca.gov.cn/article/sj/xzqh/2020/20201201.html
省市区数据来源于中华人民共和国民政部-总省市区数据,数据太老,自治区直辖县级行政区划 中有数据不存在,校验此数据。
🚧 注意:部分省份下面有省直辖县级行政区划 如(湖北省、河南省等),需要将此部分数据重新爬下来进行校验数据,如 [新疆维吾尔自治区-自治区直辖县级行政区划] 缺新星市。
为提升速度,通过标记 校验哪些特殊省份有这类数据。
http://www.stats.gov.cn/tjsj/tjbz/tjyqhdmhcxhfdm/2021/<省>/<省><自治区直辖县级行政区划>.html- 42 湖北省 -># 自治区直辖县级行政区划- 46 海南省 -># 自治区直辖县级行政区划- 65 新疆维吾尔自治区 -># 自治区直辖县级行政区划- 41 河南省 -># 省直辖县级行政区划# - 46 重庆市 -> 🚧 县# - 23 黑龙江省 -> 🚧 大兴安岭地区
上面4 个省区比较特殊的自治区直辖县级行政区划,都有独立的城市 代码,里面的数据拥有区 代码,所以放到区 数据中,例如:湖北省的自治区直辖县级行政区划 编码为90
[{code:'429004',name:'仙桃市',province:'42',city:'90'},{code:'429005',name:'潜江市',province:'42',city:'90'},{code:'429006',name:'天门市',province:'42',city:'90'},{code:'429021',name:'神农架林区',province:'42',city:'90'}]
在 ① 步已获取直辖市数据:http://www.mca.gov.cn/article/sj/xzqh/2020/20201201.html
🚧 这里只是在生成层级数据的时候,需要特殊处理,因为它只有市区数据。
分别存储 <省><市><区> 提供csv,min.json,level.json,level.min.json 等数据。
此数据用于<街道>数据获取,避免中断从头爬数据。
□□□□□□ □□□ □□□┈┈┬┈┈┈ ┈┬┈ ┈┬┈ ╰┈┈┈┈┈┈┆┈┈┈┈┆┈┈┈┈→ ¹<省市区>代码 ╰┈┈┈┈┆┈┈┈┈→ ²<乡镇街道>代码 ╰┈┈┈┈→ ³<居民委员会>和<村民委员会>的代码
第²二段代码
- 001—099 表示街道的代码,应在本地区的范围内由小到大顺序编写;
- 100—199 表示镇的代码,应在本地区的范围内由小到大顺序编写;
- 200—399 表示乡的代码,应在本地区的范围内由小到大顺序编写;
- 400—599 表示政企合一单位的代码,应在本地区的范围内由小到大顺序编写。
第³三段代码
- 居民委员会的代码从001—199由小到大顺序编写;
- 村民委员会的代码从200-399由小到大顺序编写。
About
🇨🇳 Complete and updated China administrative divisions (province, city, county, town) in JSON, CSV, and SQL formats 🇨🇳最全最新中国【省、市、区县、乡镇街道】json,csv,sql数据
Topics
Resources
License
Uh oh!
There was an error while loading.Please reload this page.
Stars
Watchers
Forks
Sponsor this project
Uh oh!
There was an error while loading.Please reload this page.

























