Taman Bukit Indah

68000 Ampang Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Flat
RM180,000
Level 1
743 sqft · RM242 PSF
850 sqft
Flat
RM320,000
Level 4
850 sqft · RM376 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bukit Indah? Homes here sold for a median of RM250,000.

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Market Snapshot

RM250,000

RM309 psf

Median transaction price

RM1,537,500

RM841 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Taman Bukit Indah
© OpenStreetMap · CARTO

Taman Bukit Indah, 68000 Ampang Jaya, Selangor, Malaysia

Maps

Taman Bukit Indah in Gombak, Selangor recorded 2 Flat properties subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM309.

This area contains both residential and commercial properties. View 50 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM250K, with most transactions falling within a stable range of RM180K to RM320K, and a typical market range of RM209K to RM291K.

Within the Flat category, condominium/apartment dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM309, though individual units vary from RM242 to RM376 in the core range. The broader market spans RM280.47 to RM338.22, indicating diverse property characteristics. The spread of RM57.75 (IQR) and deviation of RM67 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.