บ้านเดี่ยว กรีนเพลส 3 ระยอง
สายบ้านแหลมมะขาม ทับมา เมืองระยอง ระยอง
Location Deep Dive
Families who value space and safety will find this property fits the location and lifestyle well.
- Near a hospital
- Close to shopping malls
- Convenient access to public transit
- Spacious usable area
Pays more, gets less: nearby houses that ask more than this one
฿33,000/sq.wah: lower than 3 nearby houses that trail it
Compared with houses of the same type within 2 km (21 listings)
3 listings in this set ask 3,750 to 9,000 baht more per sq.wah (median 7,384), about ฿443,000 more for the same land size, red = weaker than this property, green = better.
| Listing | ฿/sq.wah | Pays more | Land sq.wah | Built sqm | Storeys |
|---|---|---|---|---|---|
| House B13434This property · Rayong | 33,000 | - | 60.0 | 133 | 1 |
| House ref-cc14acebb8Rayong · 0.5 km · other source · bank-foreclosed asset | 42,000 | +9,000 (+27%) | 50.0 (weaker than this one) | 100 (weaker than this one) | - |
| House ref-d0fffcebcfRayong · 0.9 km · other source · bank-foreclosed asset | 36,750 | +3,750 (+11%) | 56.0 (weaker than this one) | 91 (weaker than this one) | - |
| House P00527Rayong · 2.0 km | 40,385 | +7,384 (+22%) | 52.0 (weaker than this one) | 184 (better than this one) | 1 |
Basis: other listings of the same type currently on NextSpace+, compared at asking prices, not valuations or transaction prices. Price per sq.wah uses the LAND size, not the built area. A selected comparison, not a ranking of the market. Rows marked "other source" are listings from other sources, not on NextSpace+. Every row is a listing on NextSpace+ except rows marked "other source". Bank-foreclosed assets (NPA) are taken over by lenders and sold as-is; their asking prices are often below the general market and carry different purchase terms, which can pull a median down (2 rows in this table).
How we compared, in detail
Selection: asks at most 60% more per sq.wah than this property, land size between 0.5 and 2 times, and equal or weaker on at least 2 of the measurable counts (Land, Built, Station, Siam, Storeys), with at least 1 clearly weaker. A count with missing data is never used. Distances are straight lines from coordinates; the city centre is Siam/Ratchaprasong and a station is the nearest rail station in our transit dataset (shown only within 12 km).