Fēngkāi Xiàn
County in Zhàoqìng Shì (Guăngdōng)
County
The population development of Fēngkāi Xiàn.
| Name | Native | Status | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|
| Fēngkāi Xiàn | 封开县 | County | 398,258 | 374,848 | → |
| Zhàoqìng Shì | 肇庆市 | Prefecture-level City | 3,916,467 | 4,113,594 |
Contents: Townships
The population development of the townships in Fēngkāi Xiàn.
icon links to further information about a selected place including its population structure (age groups).| Name | Native | Status | City / District / County | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|
| Báigòu Zhèn | 白垢镇 | Town | Fēngkāi Xiàn | 12,125 | 8,584 | → |
| Cháng'ān Zhèn | 长安镇 | Town | Fēngkāi Xiàn | 34,867 | 30,633 | → |
| Chánggăng Zhèn | 长岗镇 | Town | Fēngkāi Xiàn | 20,497 | 17,009 | → |
| Dàyùkŏu Zhèn | 大玉口镇 | Town | Fēngkāi Xiàn | 11,279 | 9,083 | → |
| Dàzhōu Zhèn | 大洲镇 | Town | Fēngkāi Xiàn | 12,514 | 10,715 | → |
| Dūpíng Zhèn | 都平镇 | Town | Fēngkāi Xiàn | 8,913 | 8,210 | → |
| Hé'érkŏu Zhèn | 河儿口镇 | Town | Fēngkāi Xiàn | 21,483 | 18,139 | → |
| Jiāngchuān Zhèn | 江川镇 | Town | Fēngkāi Xiàn | 8,286 | 7,189 | → |
| Jiāngkŏu Jiēdào | 江口街道 | Urban Subdistrict | Fēngkāi Xiàn | 65,160 | 73,190 | → |
| Jīnzhuāng Zhèn | 金装镇 | Town | Fēngkāi Xiàn | 27,247 | 29,296 | → |
| Liándū Zhèn | 连都镇 | Town | Fēngkāi Xiàn | 24,838 | 22,479 | → |
| Luódŏng Zhèn | 罗董镇 | Town | Fēngkāi Xiàn | 21,205 | 15,919 | → |
| Nánfēng Zhèn | 南丰镇 | Town | Fēngkāi Xiàn | 71,479 | 73,434 | → |
| Píngfèng Zhèn | 平凤镇 | Town | Fēngkāi Xiàn | 16,901 | 14,775 | → |
| Xìnghuā Zhèn | 杏花镇 | Town | Fēngkāi Xiàn | 23,277 | 20,536 | → |
| Yúlào Zhèn | 渔涝镇 | Town | Fēngkāi Xiàn | 18,187 | 15,657 | → |
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.