Taman Puchong Indah

47100 Puchong, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 163,000
PSF
RM 229
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM 148,000
Level 3
710 sqft · RM 208 PSF
RM 170,000
Level 4
710 sqft · RM 239 PSF
RM 155,000
Level 2
710 sqft · RM 218 PSF
RM 200,000
Level 1
710 sqft · RM 282 PSF
RM 163,000
Level 3
710 sqft · RM 229 PSF
RM 150,000
Level 3
710 sqft · RM 211 PSF
950 sqft
Flat
RM 240,000
Level 3
947 sqft · RM 253 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 163,000

RM 229 psf

Median transaction price

RM 580,000

RM 423 psf

Median transaction price

Low

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Taman Puchong Indah, 47100 Puchong, Selangor, Malaysia

Maps

Taman Puchong Indah in Petaling, Selangor recorded 7 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 163K and a median price per square foot (PSF) of RM 229.

This area contains both residential and commercial properties. View 15 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 163K, with most transactions falling within a stable range of RM 148K to RM 194K, and a typical market range of RM 148K to RM 240K.

Within the Flat category, flats dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 229, with core pricing between RM 205 and RM 254. Market pricing typically extends from RM 172.69 to RM 286.19, reflecting moderate variation in unit pricing. With an IQR of RM 113.50 and MAD of RM 24, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.