Níng Xiàn
County in Qìngyáng Shì (Gānsù)
County
The population development of Níng Xiàn.
| Name | Native | Status | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|
| Níng Xiàn | 宁县 | County | 405,614 | 336,316 | → |
| Qìngyáng Shì | 庆阳市 | Prefecture-level City | 2,211,191 | 2,179,716 |
Contents: Townships
The population development of the townships in Níng Xiàn.
| Name | Native | Status | City / District / County | Population Census 2010-11-01 | Population Census 2020-11-01 | |
|---|---|---|---|---|---|---|
| Chángqìngqiáo Zhèn | 长庆桥镇 | Town | Níng Xiàn | 9,103 | 6,328 | → |
| Chūnróng Zhèn | 春荣镇 | Town | Níng Xiàn | 34,072 | 25,003 | → |
| Héshèng Zhèn | 和盛镇 | Town | Níng Xiàn | 35,553 | 32,480 | → |
| Jiāocūn Zhèn | 焦村镇 | Town | Níng Xiàn | 36,600 | 29,686 | → |
| Jīncūn Xiāng | 金村乡 | Rural Township | Níng Xiàn | 5,745 | 4,597 | → |
| Jiŭxiàn Xiāng | 九岘乡 | Rural Township | Níng Xiàn | 7,565 | 5,800 | → |
| Liángpíng Zhèn | 良平镇 | Town | Níng Xiàn | 18,355 | 15,066 | → |
| Mĭqiáo Zhèn | 米桥镇 | Town | Níng Xiàn | 16,886 | 12,652 | → |
| Nányì Xiāng | 南义乡 | Rural Township | Níng Xiàn | 15,565 | 12,767 | → |
| Pánkè Zhèn | 盘克镇 | Town | Níng Xiàn | 28,465 | 25,087 | → |
| Píngzi Zhèn | 平子镇 | Town | Níng Xiàn | 27,917 | 20,134 | → |
| Tàichāng Zhèn | 太昌镇 | Town | Níng Xiàn | 13,019 | 10,159 | → |
| Wăxié Xiāng | 瓦斜乡 | Rural Township | Níng Xiàn | 10,970 | 8,299 | → |
| Xiānglè Zhèn | 湘乐镇 | Town | Níng Xiàn | 18,510 | 13,966 | → |
| Xīnníng Zhèn | 新宁镇 | Town | Níng Xiàn | 38,999 | 37,657 | → |
| Xīnzhuāng Zhèn | 新庄镇 | Town | Níng Xiàn | 34,282 | 26,705 | → |
| Zăoshèng Zhèn | 早胜镇 | Town | Níng Xiàn | 28,636 | 27,960 | → |
| Zhōngcūn Zhèn | 中村镇 | Town | Níng Xiàn | 25,372 | 21,970 | → |
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.