Taman Sri Melati
Taman Seri Melati, 68100 Batu Caves, Selangor, Malaysia
Taman Seri Melati, 68100 Batu Caves, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Melati 15
|
RM 520,000
|
RM 315
|
1,650 sqft
|
|
|
|
Jalan Melati 15
|
RM 570,000
|
RM 345
|
1,650 sqft
|
|
|
|
Jalan Melati 16
|
RM 670,000
|
RM 406
|
1,650 sqft
|
|
|
|
Jalan Melati 22
|
RM 430,000
|
RM 261
|
1,650 sqft
|
|
|
|
Jalan Melati 11
|
RM 630,000
|
RM 382
|
1,650 sqft
|
|
|
|
Jalan Melati 22
|
RM 430,000
|
RM 261
|
1,650 sqft
|
|
|
Jalan Melati 17
|
RM 930,000
|
RM 306
|
3,038 sqft
|
|
Posts about Taman Sri Melati
No posts about Taman Sri Melati yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 570,000
RM 315 psfMedian transaction price
Taman Seri Melati, 68100 Batu Caves, Selangor, Malaysia
MapsTaman Sri Melati in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 570K and a median price per square foot (PSF) of RM 315.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 570K, with most transactions falling within a stable range of RM 430K to RM 730K, and a typical market range of RM 503K to RM 637K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM 315, with core pricing between RM 263 and RM 367. Market pricing typically extends from RM 275.75 to RM 354.25, reflecting moderate variation in unit pricing. The spread of RM 78.50 (IQR) and deviation of RM 52 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.