This Year, 6 Out of 10 Apartment Subscription Winners Are in Their 30s or Younger

RealToday Analyzes Data from Korea Real Estate Board

In January and February of this year, the proportion of apartment subscription winners nationwide who were in their 30s or younger exceeded 60%. This appears to be due to both the increased likelihood of winning special housing allotments and the widespread use of policy loans among this age group.

According to an analysis by RealToday, a real estate information provider, of age-based subscription winner data from Korea Real Estate Board, out of 7,365 nationwide winners in January and February, 4,507—representing 61.2%—were in their 30s or younger. This share had previously remained in the 50% range, with 54.3% last year and 51.8% in 2024, but surpassed 60% for the first time this year. Since the Real Estate Board began releasing related statistics in 2020, this marks the first year that those in their 30s or younger have accounted for more than 60% of all winners.

Apartment complexes are densely packed across the city as seen from the Namsan Observatory in Seoul. Photo by Yonhap News

This trend is attributed to increased benefits for young people and newlyweds, as well as a rise in the supply of smaller-sized units. There is growing recognition that the newborn-priority supply system, which prioritizes newborn households for special allocations to newlyweds or first-time buyers, has taken root. The wide availability of various policy loans—including the ‘Didimdol’ loan for first-time homebuyers, loans dedicated to newlyweds, and newborn special loans—has also contributed to the concentration of winners in the 30s and under age group.

The increase in apartments with exclusive areas of 60 square meters or less has also been a factor. In January and February of this year, 1,119 units under 60 square meters were supplied through general allocations, accounting for 28.6% of the total. This is a significant increase compared to 11.0% last year and 14.1% in 2024.

This content was produced with the assistance of AI translation services.