Văn Chấn
District in Yên Bái Province
Contents: Subdivision
The population in Văn Chấn as well as related information and services (Wikipedia, Google, images).
icon links to further information about a selected division including its population structure (age groups).| Name | Status | Population Census 2009-04-01 | |
|---|---|---|---|
| Văn Chấn | District | 144,152 | |
| An Lương | Rural Commune | 3,403 | → |
| Bình Thuận | Rural Commune | 5,228 | → |
| Cát Thịnh | Rural Commune | 8,580 | → |
| Chấn Thịnh | Rural Commune | 6,839 | → |
| Đại Lịch | Rural Commune | 4,585 | → |
| Đồng Khê | Rural Commune | 5,084 | → |
| Gia Hội | Rural Commune | 5,493 | → |
| Hạnh Sơn | Rural Commune | 5,201 | → |
| Minh An | Rural Commune | 3,451 | → |
| Nậm Búng | Rural Commune | 3,416 | → |
| Nậm Lành | Rural Commune | 3,204 | → |
| Nậm Mười | Rural Commune | 2,227 | → |
| Nghĩa Sơn | Rural Commune | 1,412 | → |
| Nghĩa Tâm | Rural Commune | 7,485 | → |
| Nông trường Liên Sơn (NT Liên Sơn) | Township | 4,598 | → |
| Nông trường Nghĩa Lộ (NT Nghĩa Lộ) | Township | 4,986 | → |
| Nông trường Trần Phú (NT Trần Phú) | Township | 5,270 | → |
| Phúc Sơn | Rural Commune | 6,213 | → |
| Phù Nham | Rural Commune | 6,817 | → |
| Sơn A | Rural Commune | 4,582 | → |
| Sơn Lương | Rural Commune | 3,007 | → |
| Sơn Thịnh | Rural Commune | 8,207 | → |
| Sùng Đô | Rural Commune | 2,990 | → |
| Suối Bu | Rural Commune | 1,647 | → |
| Suối Giàng | Rural Commune | 2,565 | → |
| Suối Quyền | Rural Commune | 1,511 | → |
| Tân Thịnh | Rural Commune | 5,807 | → |
| Thạch Lương | Rural Commune | 4,512 | → |
| Thanh Lương | Rural Commune | 2,671 | → |
| Thượng Bằng La | Rural Commune | 7,759 | → |
| Tú Lệ | Rural Commune | 5,402 | → |
| Yên Bái | Province | 740,397 |
Source: General Statistics Office of Vietnam (web).
Explanation: Communes as defined in 2009 and districts follow the definiton of 2018. The computation of boundaries and population figures for districts is based on the tabulated communes of 2009. Thus, slight discrepancies to the actual situation are possible in few cases. Area figures are derived from geospatial data.