月均成交1万套，深圳前11月楼市成交量，创近五年同期新高

Core Insights - The Shenzhen real estate market has shown significant growth in both new and second-hand housing transactions in 2025, with total transactions reaching 111,519 units from January to November, marking a 12% year-on-year increase and the highest level in five years [1][3] Group 1: Market Performance - New housing transactions in November reached 3,624 units, representing an 8.1% month-on-month increase, while second-hand housing transactions exceeded 5,000 units, indicating a steady recovery in market confidence and activity [1][3] - The continuous increase in transaction volume for second-hand homes has been observed for nine consecutive months, with November's volume rising to 5,762 units, suggesting a stabilization phase for the market [5] Group 2: Factors Influencing Market Growth - The increase in transaction volume is attributed to a combination of policy support, urban development benefits, and seasonal market dynamics. Recent policy adjustments, such as the relaxation of purchase restrictions, have lowered entry barriers for buyers [3] - The announcement of the 2026 APEC conference to be held in Shenzhen has boosted market confidence regarding the city's development potential and core asset values, particularly in high-demand areas like Shenzhen Bay and Houhai [3] - The traditional peak season for property transactions at the end of the year has also contributed to the uptick in activity, as buyers aim to finalize purchases before the year-end and developers offer incentives to boost sales [3] Group 3: Market Segmentation - The transaction volume is heavily concentrated in core districts such as Longgang, Futian, and Nanshan, which account for 92.3% of total transactions, while peripheral areas face pressure [7] - There is a notable demand pattern emerging, characterized by strong interest in both entry-level and luxury properties, with the Longgang Central City area leading in transaction volume for affordable housing, while high-end segments in Nanshan also show robust performance [7]