Xi'an implements "N+1" rental model: Living room partition compliance increases supply
introduction
Recently, the Xi'an Municipal Housing and Urban-Rural Development Bureau issued new regulations, officially implementing the "N+1" rental model, allowing the living room to be compliantly divided into separate rooms to increase the supply of rental housing. This policy has sparked widespread discussion and has become one of the hot topics on the Internet in the past 10 days. This article will comprehensively analyze this hot event for you from the aspects of policy background, implementation details, market reactions and data comparison.
Policy background
As Xi'an's population continues to grow, the contradiction between housing supply and demand is becoming increasingly prominent. According to statistics, Xi'an's permanent population exceeded 13 million in 2023, with an average annual demand for renting about 150,000 units, while the market supply can only meet 60%. In order to alleviate this pressure, Xi'an City has learned from the experience of cities such as Shanghai and Guangzhou to launch the "N+1" rental model.
City | Policy implementation time | Rent change | Supply increase |
---|---|---|---|
Shanghai | 2019 | -12% | +18% |
Guangzhou | 2020 | -8% | +15% |
Xi'an | 2023 | To be observed | Estimated +20% |
Core content of policy
1. Allows the conversion of the living room that meets the criteria into a separate bedroom (i.e. "+1" in "N+1")
2. The transformation needs to meet:
- Minimum usable area ≥5㎡
- With natural lighting and ventilation
- No damage to the load-bearing structure
3. Up to 1 partition is allowed per residence
4. You need to file with the housing and construction department and obtain a renovation license
Market reaction
According to online public opinion monitoring, the number of related topics discussed in the past 10 days has reached 128,000, and the main views are distributed as follows:
Type of opinion | Percentage | Representative opinions |
---|---|---|
support | 58% | "Effectively reduce rental costs and solve the housing problems of young people" |
Worry | 32% | "May affect living quality and neighborhood relations" |
be opposed to | 10% | "Plus group rentals are encouraged in disguise, and there are safety hazards" |
Forecast on rent impact
Industry experts analyzed that the following changes may occur after the policy is implemented:
Room type | Current average price (yuan/month) | Expected changes |
---|---|---|
One-room apartment | 1800 | -5%~-8% |
Two-bedroom house | 2500 | -3%~-5% |
Three-bedroom house | 3200 | Basically flat |
Supporting management measures
In order to prevent the policy from being abused, Xi'an simultaneously issued supporting management regulations:
1. Establish a "housing rental supervision service platform", and all renovated housing sources must be registered and registered
2. Carry out joint law enforcement inspections at least once a quarter
3. Set up a special line for complaints and reporting, and accept reports of illegal modifications 24 hours a day
4. A maximum fine of 100,000 yuan will be imposed on the violation intermediary
Comparison of experience in other cities
Data from cities that have implemented similar policies show:
index | Shanghai (4 years of implementation) | Guangzhou (3 years of implementation) | Suzhou (implemented for 2 years) |
---|---|---|---|
New rental properties | 126,000 rooms | 83,000 | 32,000 rooms |
Average rent decline | 11.2% | 7.8% | 5.5% |
Changes in complaint rate | +18% | +25% | +12% |
Conclusion
The launch of Xi'an's "N+1" rental model is an important attempt to deal with the contradiction between housing supply and demand. Whether the policy can achieve the expected results lies in the intensity of implementation and subsequent supervision. Judging from the experience of other cities, this policy can indeed increase supply and stabilize rents, but at the same time, it also needs to prevent possible chaos in group rentals. The next six months will be a critical period for policy effectiveness observation, and market reactions deserve continued attention.
Note:The data in this article comes from public reports of housing and construction departments in various places, online public opinion monitoring platforms and industry research institutions, and the statistical period is from December 1 to 10, 2023.
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