Bama Yao Autonomous County
Bama County
巴马县 · Bahmaj Yen | |
---|---|
巴马瑶族自治县 Bahmaj Yauzcuz Swciyen Bama Yao Autonomous County | |
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Coordinates: 24°08′31″N 107°15′32″E / 24.142°N 107.259°E | |
Country | China |
Autonomous region | Guangxi |
Prefecture-level city | Hechi |
County seat | Bama Town |
Area | |
• Total | 1,966 km2 (759 sq mi) |
Elevation | 230 m (750 ft) |
Population (2020) | |
• Total | 236,152 |
• Density | 120/km2 (310/sq mi) |
Time zone | UTC+8 (China Standard) |
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]
History
[edit]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
[edit]There is 3 town and 7 townships in the county:[3]
- Towns
Bama (巴马镇), Jiazhuan (甲篆镇), Yandong (燕洞镇)
- Townships
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
[edit]The Yao people of Bama County consist of the following three subgroups.[citation needed]
- 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
[edit]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) |
Mean daily maximum °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) |
Mean daily minimum °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
[edit]- ^ Xu, Wei; He, Dan (2012-09-06). "Centenarians say age is just a number". Beijing: China Daily. Retrieved 2012-11-08.
- ^ a b c d e 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.
- ^ 2023年统计用区划代码和城乡划分代码:巴马瑶族自治县 (in Simplified Chinese). National Bureau of Statistics of China.
- ^ 中国气象数据网 – WeatherBk Data (in Simplified Chinese). China Meteorological Administration. Retrieved 28 May 2023.
- ^ "Experience Template" 中国气象数据网 (in Simplified Chinese). China Meteorological Administration. Retrieved 28 May 2023.