How to look at properties based on location: 10 days of hot topics and structured analysis
In the real estate market, location is one of the core factors that determines property value. Among the hotly discussed real estate topics on the Internet recently, "how to choose a property based on location" has become the focus. This article combines the hot data of the past 10 days and provides you with a house selection guide through structured analysis.
1. Keyword analysis of popular areas

| Ranking | keywords | Search volume (10,000) | Month-on-month change |
|---|---|---|---|
| 1 | School district room | 45.2 | +12% |
| 2 | subway room | 38.7 | +8% |
| 3 | Business supporting facilities | 32.1 | +5% |
| 4 | Industrial Park | 28.5 | +15% |
| 5 | Ecological and livable | 25.3 | +20% |
2. Lot value assessment model
According to a recent location evaluation report released by professional organizations, high-quality locations need to meet the following conditions:
| indicator | weight | Evaluation criteria |
|---|---|---|
| transportation convenience | 30% | Bonus points for being within 1km of a subway station |
| educational resources | 25% | Bonus points for key schools within 3km |
| Business supporting facilities | 20% | Bonus points for large supermarkets within 2km |
| medical resources | 15% | Bonus points for tertiary hospitals within 5km |
| environmental quality | 10% | Bonus points for parks and green spaces within 1km |
3. Comparison of recent popular urban areas
| city | Popular areas | Average price (yuan/㎡) | annual increase |
|---|---|---|---|
| Beijing | Haidian Zhongguancun | 112,000 | 6.8% |
| Shanghai | Pudong Qiantan | 98,500 | 8.2% |
| Shenzhen | Nanshan Science and Technology Park | 105,000 | 7.5% |
| Chengdu | High-tech Zone | 32,000 | 9.1% |
| Hangzhou | Future Technology City | 45,000 | 10.3% |
4. Five golden rules for location selection
1.industrial agglomeration effect: Recent data shows that the annual growth rate of housing prices around industrial parks is generally 2-3 percentage points higher than the market average.
2.Traffic node value: For properties within 500 meters of a subway station, the rental return rate is on average 15% higher than other properties in the same area.
3.Education resource premium: The price difference between high-quality school district housing and non-school district housing continues to expand, reaching more than 40% in some cities.
4.business maturity: In areas with mature commercial complexes, the turnover rate of second-hand houses is 30% faster than in ordinary areas.
5.forward-looking planning: The value of key government planning areas will increase by an average of 50% within 3 years after the plan is announced.
5. Forecast of emerging potential areas in 2023
| Area type | Representative area | Appreciation potential |
|---|---|---|
| TOD complex | Guangzhou Pazhou West District | ★★★★★ |
| Science and Technology Innovation Belt | Suzhou Industrial Park | ★★★★☆ |
| urban renewal area | Shanghai North Bund | ★★★★ |
| Ecological new city | Xiongan New Area | ★★★☆ |
From the above structured data analysis, it can be seen that selecting a real estate location requires comprehensive consideration of multiple factors. It is recommended that home buyers fully study regional development plans, conduct on-site inspections of supporting facilities, and pay attention to the latest government policy guidance before making decisions, so that they can make the choice with the greatest appreciation potential.
check the details
check the details