Kēqiáo Qū
District in Shàoxīng Shì (Zhèjiāng)
District
The population development of Kēqiáo Qū.
| Name | Native | Status | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|
| Kēqiáo Qū [Shàoxīng Xiàn] | 柯桥区 | District | 960,751 | 1,098,859 | → |
| Shàoxīng Shì | 绍兴市 | Prefecture-level City | 4,912,239 | 5,270,977 |
Contents: Townships
The population development of the townships in Kēqiáo Qū.
| Name | Native | Status | City / District / County | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|
| Ānchāng Jiēdào | 安昌街道 | Urban Subdistrict | Kēqiáo Qū | 60,936 | 67,035 | → |
| Fúquán Jiēdào | 福全街道 | Urban Subdistrict | Kēqiáo Qū | 56,346 | 50,123 | → |
| Huáshè Jiēdào | 华舍街道 | Urban Subdistrict | Kēqiáo Qū | 88,343 | 113,982 | → |
| Hútáng Jiēdào | 湖塘街道 | Urban Subdistrict | Kēqiáo Qū | 39,477 | 36,570 | → |
| Jīdōng Zhèn | 稽东镇 | Town | Kēqiáo Qū | 19,923 | 18,924 | → |
| Kēqiáo Jiēdào | 柯桥街道 | Urban Subdistrict | Kēqiáo Qū | 123,230 | 190,801 | → |
| Kēyán Jiēdào | 柯岩街道 | Urban Subdistrict | Kēqiáo Qū | 88,665 | 90,860 | → |
| Lántíng Jiēdào | 兰亭街道 | Urban Subdistrict | Kēqiáo Qū | 37,880 | 34,994 | → |
| Lízhŭ Zhèn | 漓渚镇 | Town | Kēqiáo Qū | 23,463 | 21,992 | → |
| Mă'ān Jiēdào | 马鞍街道 | Urban Subdistrict | Kēqiáo Qū | 72,043 | 132,000 | → |
| Píngshuĭ Zhèn | 平水镇 | Town | Kēqiáo Qū | 48,263 | 49,330 | → |
| Qiánqīng Jiēdào | 钱清街道 | Urban Subdistrict | Kēqiáo Qū | 107,821 | 111,073 | → |
| Qíxián Jiēdào | 齐贤街道 | Urban Subdistrict | Kēqiáo Qū | 83,978 | 81,706 | → |
| Wángtán Zhèn | 王坛镇 | Town | Kēqiáo Qū | 20,239 | 19,501 | → |
| Xiàlǚ Zhèn | 夏履镇 | Town | Kēqiáo Qū | 22,738 | 18,291 | → |
| Yángxùnqiáo Jiēdào | 杨汛桥街道 | Urban Subdistrict | Kēqiáo Qū | 67,406 | 61,677 | → |
Source: China National Bureau of Statistics.
Explanation: Towns and urban subdistricts may have some rural population. Districts, counties and townships as of 2022 (as far as sufficient information is available). Some population changes may result from boundary changes. Area figures are computed by using geospatial data.