Taman Bkt Teratai

Taman Bukit Teratai, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 310,000
PSF
RM 360
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 292,000
Level 7
861 sqft · RM 339 PSF
RM 310,000
Level 5
861 sqft · RM 360 PSF
RM 318,000
Level 11
861 sqft · RM 369 PSF
900 sqft
Condo
RM 400,000
Level 2
893 sqft · RM 448 PSF
RM 300,000
Level 11
883 sqft · RM 340 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 310,000

RM 360 psf

Median transaction price

RM 580,000

RM 452 psf

Median transaction price

Taman Bkt Teratai
© OpenStreetMap · CARTO

Taman Bukit Teratai, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Bkt Teratai in Hulu Langat, Selangor recorded 5 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 310K and a median price per square foot (PSF) of RM 360.

This area contains both residential and commercial properties. View 60 residential properties or 10 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 310K, with most transactions falling within a stable range of RM 292K to RM 349K, and a typical market range of RM 292K to RM 400K.

Within the Condo/Apartment category, town house dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 360, with core pricing between RM 320 and RM 400. Market pricing typically extends from RM 308.88 to RM 411.13, reflecting moderate variation in unit pricing. With an IQR of RM 102.25 and MAD of RM 40, 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.