Taman Pertama (Silibin)

Taman Tinggi, 30100 Ipoh, Perak, Malaysia

Property Transactions

11 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM380,000
Persiaran Bekor 35
1,292 sqft · RM294 PSF
RM380,000
Jalan Wong Kwai Kee
1,324 sqft · RM287 PSF
RM340,000
Leboh Raya
1,324 sqft · RM257 PSF
RM370,000
Regat Bekor 3
1,324 sqft · RM279 PSF
RM445,000
Jalan.ng Weng Hup
1,324 sqft · RM336 PSF
RM260,000
Laluan Sungai Pari 7
1,292 sqft · RM201 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM380,000

RM287 psf

Median transaction price

RM680,000

RM442 psf

Median transaction price

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Taman Tinggi, 30100 Ipoh, Perak, Malaysia

Maps

Taman Pertama (Silibin) in Kinta, Perak recorded 11 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM380K and a median price per square foot (PSF) of RM287.

This area contains both residential and commercial properties. View 110 residential properties or 11 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM380K, with most transactions falling within a stable range of RM293K to RM467K, and a typical market range of RM302K to RM459K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM287, though individual units vary from RM219 to RM355 in the core range. The broader market spans RM258.02 to RM316.02, indicating diverse property characteristics. The spread of RM58.00 (IQR) and deviation of RM68 (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.