Taman Seri Delima
Taman Sri Delima, 14100 Simpang Ampat, Pulau Pinang, Malaysia
Taman Sri Delima, 14100 Simpang Ampat, Pulau Pinang, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 177,000
|
RM 274
|
646 sqft
|
|
|
|
Level 4
|
RM 190,000
|
RM 294
|
646 sqft
|
|
|
|
Level 4
|
RM 160,000
|
RM 248
|
646 sqft
|
|
|
Level 3
|
RM 225,000
|
RM 290
|
775 sqft
|
|
|
|
Level 7
|
RM 270,000
|
RM 334
|
807 sqft
|
|
|
|
Level 7
|
RM 300,000
|
RM 382
|
786 sqft
|
|
|
|
Level 1
|
RM 250,000
|
RM 323
|
775 sqft
|
|
|
|
Level 10
|
RM 330,000
|
RM 420
|
786 sqft
|
|
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Market Snapshot
RM 250,000
RM 323 psfMedian transaction price
RM 710,000
RM 470 psfMedian transaction price
Taman Sri Delima, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Seri Delima in Seberang Perai Tengah, Penang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 250K and a median price per square foot (PSF) of RM 323.
This area contains both residential and commercial properties. View 97 residential properties or 9 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 250K, with most transactions falling within a stable range of RM 196K to RM 304K, and a typical market range of RM 199K to RM 301K.
Most transactions involved condominium/apartment, with moderate diversity in property types available.
The median PSF stands at RM 323, with core pricing between RM 271 and RM 374. Market pricing typically extends from RM 277.71 to RM 367.46, reflecting moderate variation in unit pricing. The spread of RM 89.75 (IQR) and deviation of RM 52 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.