KL Trillion

No 338, Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

8 subsales found

Median
RM2,951,500
PSF
RM1,266
Period
transactions middle 50% (P25–P75)
RM3,666,000
Level 16
3,035 sqft RM1,208 PSF
RM3,843,000
Level 23
3,035 sqft RM1,266 PSF
RM3,720,000
Level 17
3,035 sqft RM1,226 PSF
RM1,500,000
Level 31
1,066 sqft RM1,408 PSF
RM2,703,000
Level 31
1,959 sqft RM1,380 PSF
RM1,000,000
Level 12
1,098 sqft RM911 PSF
RM3,200,000
Level 27
3,035 sqft RM1,054 PSF
RM1,478,000
Level 7
1,066 sqft RM1,387 PSF
Legend Recent Highest Price Highest PSF

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No 338, Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

KL Trillion in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM2.95 million and a median price per square foot (PSF) of RM1,266.

This area contains both residential and commercial properties. View 3 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 RM2.95 million, with most transactions falling within a stable range of RM2.12 million to RM3.78 million, and a typical market range of RM1.86 million to RM3.84 million.

Most transactions involved office lot, though some variety exists in the market.

The median PSF stands at RM1,266, with core pricing between RM1,129 and RM1,404. Market pricing typically extends from RM1,159.88 to RM1,372.13, reflecting moderate variation in unit pricing. With an IQR of RM212.25 and MAD of RM138, 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.