Taman Desa Lang Indah

Perak, Kinta, Ipoh Utara

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
2-Sty Terrace
RM310,000
Jalan Lang Indah 5
1,163 sqft · RM267 PSF
RM300,000
Jalan Lang Indah 4
1,163 sqft · RM258 PSF
RM250,000
Jalan Lang Indah 5
1,163 sqft · RM215 PSF
RM300,000
Jalan Lang Indah 2
1,163 sqft · RM258 PSF
RM300,000
Jalan Lang Indah 4
1,163 sqft · RM258 PSF
1,750 sqft
2-Sty Terrace
RM400,000
Jalan Lang Indah 1
1,765 sqft · RM227 PSF
1,800 sqft
2-Sty Terrace
RM288,000
Jalan Lang Indah 2
1,787 sqft · RM161 PSF
1,900 sqft
2-Sty Terrace
RM460,000
Jalan Lang Indah 2
1,884 sqft · RM244 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM251 psf

Median transaction price

Taman Desa Lang Indah in Kinta, Perak recorded 8 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM251.

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 RM300K, with most transactions falling within a stable range of RM250K to RM364K, and a typical market range of RM250K to RM390K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM251, with core pricing between RM218 and RM284. Market pricing typically extends from RM224.38 to RM277.88, reflecting moderate variation in unit pricing. With an IQR of RM53.50 and MAD of RM33, the PSF demonstrates reasonable consistency across the market.

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.