Bama Yao Autonomous County
Bama Yao Autonomous County (Zhuang: Bahmax Yauzcuz Swci Yen,simplified Chinese: 巴马瑶族自治县; traditional Chinese: 巴馬瑤族自治縣; pinyin: Bāmǎ Yáozú Zìzhìxiàn) is a county in Guangxi, China. It is under the administration of Hechi City. The residents of Bama County have a reputation for longevity, and Bama has been the focus of studies from geriatricians nationwide.[1]
Bama County
巴马县 · Bahmaj Yen | |
---|---|
巴马瑶族自治县 Bahmaj Yauzcuz Swciyen Bama Yao Autonomous County | |
Bama Location of the seat in Guangxi | |
Coordinates: 24°08′31″N 107°15′32″E | |
Country | People's Republic of China |
Autonomous region | Guangxi |
Prefecture-level city | Hechi |
Township-level divisions | 1 towns 9 townships |
County seat | Bama Town |
Area | |
• Total | 1,966 km2 (759 sq mi) |
Elevation | 230 m (750 ft) |
Population (2007) | |
• Total | 251,000 |
• Density | 130/km2 (330/sq mi) |
Time zone | UTC+8 (China Standard) |
History
In 1929, Bama County was part of a short-lived soviet led by Deng Xiaoping.[2]
The county is famous for its large number of centenarians.[2] Longevity in Bama County has been associated with cleanliness of the air and water, simplicity of life, and the lack of meat in the typical diet.[2]
Bama County, like the province it is a part of, is a historically poor county.[2] It is now becoming a major destination for health tourism within China, resulting in increasing economic opportunities.[2]
Administrative divisions
There is 1 town and 9 townships in the county:[3]
The only town is Bama.
Townships:
- Yandong Township (燕洞乡), Jiazhuan Township (甲篆乡), Nashe Township (那社乡), Suolue Township (所略乡), Xishan Township (西山乡), Dongshan Township (东山乡), Fenghuang Township (凤凰乡), Bailin Township (百林乡), Natao Township (那桃乡)
Demographics
The Yao people of Bama County consist of the following three subgroups.
- Bunu (布努): in Dongshan (东山乡)
- Nuomang (诺芒): in Suolüe (所略乡) and Yandong (燕洞乡)
- Nuonuo (诺诺): in remaining townships
Climate
Climate data for Bama (1991–2020 normals, extremes 1981–2010) | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
Record high °C (°F) | 29.8 (85.6) |
34.8 (94.6) |
36.6 (97.9) |
39.2 (102.6) |
38.1 (100.6) |
37.2 (99.0) |
38.2 (100.8) |
39.0 (102.2) |
38.9 (102.0) |
34.9 (94.8) |
32.3 (90.1) |
30.8 (87.4) |
39.2 (102.6) |
Average high °C (°F) | 16.3 (61.3) |
18.9 (66.0) |
22.2 (72.0) |
27.2 (81.0) |
30.2 (86.4) |
31.7 (89.1) |
32.6 (90.7) |
33.0 (91.4) |
31.3 (88.3) |
27.6 (81.7) |
23.6 (74.5) |
18.8 (65.8) |
26.1 (79.0) |
Daily mean °C (°F) | 12.0 (53.6) |
14.3 (57.7) |
17.5 (63.5) |
22.1 (71.8) |
25.0 (77.0) |
26.8 (80.2) |
27.3 (81.1) |
27.0 (80.6) |
25.1 (77.2) |
21.6 (70.9) |
17.5 (63.5) |
13.1 (55.6) |
20.8 (69.4) |
Average low °C (°F) | 9.2 (48.6) |
11.2 (52.2) |
14.4 (57.9) |
18.6 (65.5) |
21.5 (70.7) |
23.6 (74.5) |
24.1 (75.4) |
23.6 (74.5) |
21.5 (70.7) |
18.1 (64.6) |
13.9 (57.0) |
9.7 (49.5) |
17.5 (63.4) |
Record low °C (°F) | −1.6 (29.1) |
0.3 (32.5) |
2.0 (35.6) |
8.2 (46.8) |
10.8 (51.4) |
14.5 (58.1) |
17.7 (63.9) |
19.5 (67.1) |
12.9 (55.2) |
6.8 (44.2) |
1.5 (34.7) |
−2.3 (27.9) |
−2.3 (27.9) |
Average precipitation mm (inches) | 34.7 (1.37) |
27.7 (1.09) |
50.9 (2.00) |
88.2 (3.47) |
222.2 (8.75) |
351.6 (13.84) |
284.0 (11.18) |
209.7 (8.26) |
120.1 (4.73) |
88.5 (3.48) |
48.7 (1.92) |
29.7 (1.17) |
1,556 (61.26) |
Average precipitation days (≥ 0.1 mm) | 10.6 | 9.5 | 12.3 | 13.2 | 15.3 | 18.4 | 18.5 | 16.0 | 10.2 | 9.2 | 8.2 | 7.3 | 148.7 |
Average snowy days | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 0.2 |
Average relative humidity (%) | 77 | 76 | 77 | 78 | 80 | 84 | 84 | 84 | 82 | 81 | 80 | 77 | 80 |
Mean monthly sunshine hours | 55.2 | 62.1 | 70.0 | 108.5 | 139.8 | 129.8 | 168.3 | 191.3 | 171.6 | 135.0 | 119.9 | 96.6 | 1,448.1 |
Percent possible sunshine | 17 | 19 | 19 | 28 | 34 | 32 | 40 | 48 | 47 | 38 | 37 | 29 | 32 |
Source: China Meteorological Administration[4][5] |
References
- Xu, Wei; He, Dan (2012-09-06). "Centenarians say age is just a number". Beijing: China Daily. Retrieved 2012-11-08.
- Lary, Diana (2022). China's grandmothers : gender, family, and aging from late Qing to twenty-first century. Cambridge, United Kingdom: Cambridge University Press. p. 204. ISBN 978-1-009-06478-1. OCLC 1292532755.
- 2011年统计用区划代码和城乡划分代码:巴马瑶族自治县 (in Chinese). National Bureau of Statistics of the People's Republic of China. Archived from the original on February 19, 2013. Retrieved 2013-01-02.
- 中国气象数据网 – WeatherBk Data (in Simplified Chinese). China Meteorological Administration. Retrieved 28 May 2023.
- 中国气象数据网 (in Simplified Chinese). China Meteorological Administration. Retrieved 28 May 2023.