Jīngchuān Xiàn
County in Píngliáng Shì (Gānsù)
County
The population development of Jīngchuān Xiàn.
| Name | Native | Status | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|
| Jīngchuān Xiàn | 泾川县 | County | 281,145 | 222,210 | → |
| Píngliáng Shì | 平凉市 | Prefecture-level City | 2,068,033 | 1,848,607 |
Contents: Townships
The population development of the townships in Jīngchuān Xiàn.
| Name | Native | Status | City / District / County | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|
| Chéngguān Zhèn | 城关镇 | Town | Jīngchuān Xiàn | 27,566 | 24,284 | → |
| Chéngshì Shèqū Jiēdào | 城市社区街道 | Urban Subdistrict | Jīngchuān Xiàn | 31,349 | 43,363 | → |
| Dăngyuán Zhèn | 党原镇 | Town | Jīngchuān Xiàn | 28,219 | 19,090 | → |
| Fēiyún Zhèn | 飞云镇 | Town | Jīngchuān Xiàn | 12,768 | 9,540 | → |
| Fēngtái Zhèn | 丰台镇 | Town | Jīngchuān Xiàn | 22,118 | 15,150 | → |
| Gāopíng Zhèn | 高平镇 | Town | Jīngchuān Xiàn | 28,882 | 19,337 | → |
| Hónghé Xiāng | 红河乡 | Rural Township | Jīngchuān Xiàn | 6,021 | 3,582 | → |
| Jīngmíng Xiāng | 泾明乡 | Rural Township | Jīngchuān Xiàn | 8,959 | 6,970 | → |
| Lìbăo Zhèn | 荔堡镇 | Town | Jīngchuān Xiàn | 25,179 | 16,915 | → |
| Luóhàndòng Xiāng | 罗汉洞乡 | Rural Township | Jīngchuān Xiàn | 10,865 | 7,560 | → |
| Ruìfēng Zhèn | 汭丰镇 | Town | Jīngchuān Xiàn | 7,322 | 5,700 | → |
| Tàipíng Zhèn | 太平镇 | Town | Jīngchuān Xiàn | 13,610 | 8,260 | → |
| Wángcūn Zhèn | 王村镇 | Town | Jīngchuān Xiàn | 22,694 | 14,870 | → |
| Yáodiàn Zhèn | 窑店镇 | Town | Jīngchuān Xiàn | 13,447 | 10,224 | → |
| Yùdū Zhèn | 玉都镇 | Town | Jīngchuān Xiàn | 20,369 | 16,157 | → |
| Zhānglăosì Nóngchăng | 张老寺农场 | Township-like Area | Jīngchuān Xiàn | 1,777 | 1,208 | → |
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.