March: 4 cities saw declines in price mom, 10 cities were flat, 56 were up.
April: 8 cities saw declines in price mom, 18 cities were flat, 44 were up.
May: 35 cities saw declines in price mom, 20 cities were flat, 15 were up.
June: 55 cities saw declines in price mom, 7 cities were flat, 8 were up.
July: 64 cities saw declines in price mom, 4 cities were flat, 2 were up.
August: 68 cities saw declines in price mom, 1 city was flat, 1 was up.
September: 69 cities saw declines in price mom, 1 city was flat, 0 were up.
October: 69 cities saw declines in price mom, 1 city was flat, 0 were up.
November: 67 cities saw declines in price mom, 3 cities were flat, 0 were up.
Existing home prices firmed even more than new homes. The decline in November shrank to 0.38%, up from a 0.84% decline in October.
70 city new home price changes by market segment: below 90 sqm prices fell 0.5% mom; 90-144 sqm prices fell 0.6%; above 144 sqm prices fell 0.7%.
70 city existing home price changes by market segment: below 90 sqm prices fell 0.4% mom; 90-144 sqm prices fell 0.4%; above 144 sqm prices fell 0.5%.
Below is the data from the housing report, but adjusted to show the change. I sorted it by the change since 2010. It shows how wide the gap is from the hot markets to the cold.
The NBS report is here: 2014年11月份70个大中城市住宅销售价格变动情况
MoM | YoY | Since 2010 | |
Last Month = 100 | Last Year = 100 | 2010 = 100 | |
Wenzhou | -0.5 | -5.5 | -22.2 |
Hangzhou | -0.4 | -9.5 | -7.4 |
Ningbo | -0.4 | -4.4 | -5 |
Jinhua | -0.2 | -4.3 | -0.7 |
Haikou | -0.3 | -3.7 | -0.5 |
Tangshan | -0.1 | -2.8 | 0.1 |
Quanzhou | -1.2 | -4.7 | 2.4 |
Bengbu | -0.7 | -5.3 | 2.7 |
Sanya | -0.6 | -3.2 | 2.7 |
Wuxi | -0.6 | -3.7 | 2.9 |
Anqing | -0.9 | -5 | 3.7 |
Qingdao | -1 | -4.8 | 3.9 |
Dali | -0.6 | -2.4 | 4.3 |
Jiujiang | -0.3 | -3.5 | 5.4 |
Shaoguan | -0.7 | -7.3 | 5.9 |
Yangzhou | -0.4 | -4.2 | 6.2 |
Nanchong | -0.7 | -3.9 | 6.9 |
Luzhou | -0.4 | -4.6 | 7 |
Beihai | -1 | -3.5 | 7.2 |
Baotou | -0.7 | -4.5 | 7.3 |
Yantai | -0.9 | -3.6 | 7.4 |
Nanning | -0.3 | -3.3 | 7.8 |
Ganzhou | -0.6 | -5.2 | 8 |
Chongqing | -0.5 | -4.8 | 8.3 |
Chengdu | -0.6 | -4.2 | 8.3 |
Huizhou | -0.5 | -4 | 8.7 |
Tianjin | -0.3 | -2.3 | 8.8 |
Jinan | -0.4 | -3.2 | 8.9 |
Xuzhou | -0.6 | -3.6 | 8.9 |
Changde | -0.3 | -2.5 | 8.9 |
Changchun | -0.6 | -2.9 | 9.5 |
Hohhot | -0.9 | -3.7 | 9.9 |
Kunming | -0.6 | -2.8 | 9.9 |
Xiangyang | -0.7 | -4.3 | 9.9 |
Qinhuangdao | -0.5 | -4.1 | 10 |
Jining | -0.4 | -2.5 | 10 |
Yichang | -0.9 | -3.9 | 10 |
Zunyi | -0.5 | -2.6 | 10 |
Jinzhou | -0.9 | -5 | 10.1 |
Harbin | -0.4 | -3.2 | 10.3 |
Jilin | -0.3 | -3.5 | 10.5 |
Pingdingshan | -0.7 | -3 | 10.5 |
Nanjing | 0 | -1.5 | 10.7 |
Guiyang | -0.4 | -2 | 10.8 |
Mudanjiang | -0.2 | -1.7 | 10.9 |
Guilin | -1.3 | -6 | 10.9 |
Taiyuan | -0.4 | -3 | 11 |
Hefei | 0 | -0.6 | 11 |
Yinchuan | -0.9 | -2.3 | 11.1 |
Dandong | -1.3 | -4.9 | 11.1 |
Wuhan | -0.3 | -3.6 | 11.2 |
Dalian | -1.4 | -4.7 | 11.3 |
Shenyang | -1.2 | -6.7 | 11.5 |
Luoyang | -0.4 | -3.1 | 12 |
Yueyang | -0.5 | -1.8 | 12 |
Xi'an | -0.7 | -2.4 | 12.2 |
Nanchang | -0.4 | -4.4 | 12.3 |
Zhangjiang | -1 | -4.1 | 12.6 |
Lanzhou | -0.3 | -2.6 | 12.7 |
Fuzhou | -0.4 | -4.7 | 13.1 |
Changsha | -0.9 | -5.7 | 14.5 |
Shijiazhuang | -0.2 | -2.8 | 16.1 |
Shanghai | -0.4 | -2.9 | 16.1 |
Beijing | -0.2 | -2.1 | 17.9 |
Xining | -0.4 | -1.3 | 18 |
Urumqi | -0.7 | -2.7 | 19.7 |
Zhengzhou | -0.2 | 0.4 | 20.2 |
Shenzhen | 0 | -1.9 | 22 |
Guangzhou | -0.4 | -3.8 | 22.3 |
Xiamen | -0.4 | 2.9 | 27 |
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