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地产经纬丨9月上海新房价格环比领涨百城 二手房市场压力犹存
Xin Hua Cai Jing·2025-10-09 07:25

Core Insights - The Shanghai real estate market shows resilience with new home prices increasing by 0.82% month-on-month in September, leading the national average of 0.38% [1][2] - The second-hand housing market is experiencing a mild adjustment, with prices decreasing by 0.48% month-on-month, but the decline is relatively moderate compared to other major cities [1][4] - The rental market is also adjusting slightly, with average rents down by 0.26% month-on-month, but still performing better than many other key cities [1][7] New Home Market - In September, the average price of new residential properties in Shanghai reached 60,690 yuan per square meter, with a month-on-month increase of 0.82%, significantly higher than the national average of 0.09% [2] - The introduction of high-quality improvement projects has been a key driver for the structural increase in new home prices, attracting substantial demand [2][3] - Year-on-year, new home prices in Shanghai rose by 11.01%, far exceeding the national average of 2.68% and outperforming other first-tier cities [3] Second-Hand Housing Market - The average price of second-hand homes in Shanghai was 57,908 yuan per square meter in September, with a month-on-month decline of 0.48% and a year-on-year drop of 3.85% [4] - The adjustment in the second-hand market is characterized by a high volume of listings, with a prevailing "price for volume" trading logic [4] - Despite the decline, Shanghai's second-hand housing market shows strong resilience, with a smaller drop compared to the national average [4] Rental Market - The average rent in Shanghai was 83.13 yuan per square meter per month in September, reflecting a month-on-month decrease of 0.26% [7] - The rental market is experiencing a slight adjustment due to seasonal factors, with a decrease in short-term rental demand following the end of the school season [8] - Demand for rental properties remains stable in key areas due to ongoing population inflow, particularly in industrial clusters [8]