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 |
|---|
|
Jalan Delima 1/1
|
RM483,000
|
RM245
|
1,970 sqft
|
|
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Nearby areas in 13
Taman Seri Delima
Taman Seri Juru
1 City (Pusat Perniagaan Seri Juru)
Taman Sentul Jaya
Industri Bukit Minyak(Pdc)
Taman Mengkudu
Pangsapuri Delima Emas
Taman Bkt Minyak Indah
Taman Juru Indah
Taman Mangga
Taman Bukit Minyak(K.w.realty)
Taman Bkt Minyak (Standalux)
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 13
Market Snapshot
RM483,000
RM245 psfMedian transaction price
RM710,000
RM470 psfMedian transaction price
Taman Sri Delima, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Seri Delima in Seberang Perai Tengah, Penang recorded 1 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM483K and a median price per square foot (PSF) of RM245.
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.
Within the Double Storey Terraced category, condominium/apartment dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM245, with most transactions between RM245 and RM245. The usual range is RM200.33 to RM290.08, showing that most units are priced quite close to each other. With an IQR of RM89.75 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.