Bukit Supreme Apartment

Jalan Jintan Manis, Taman Supreme, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM350,000
PSF
RM283
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM305,000
Level 1
1,076 sqft · RM283 PSF
1,250 sqft
Condo
RM350,000
Level 4
1,259 sqft · RM278 PSF
1,350 sqft
Condo
RM400,000
Level 6
1,335 sqft · RM300 PSF
Legend Recent Highest Price Highest PSF

Selling in Bukit Supreme Apartment? Homes here sold for a median of RM350,000.

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Jalan Jintan Manis, Taman Supreme, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bukit Supreme Apartment in Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM283.

Nothing is listed in Bukit Supreme Apartment right now. Browse properties for sale in Mukim Kuala Lumpur and properties for rent in Mukim Kuala Lumpur nearby, then use the 3 sales recorded here to judge whether an asking price is fair.

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 RM350K, with most transactions falling within a stable range of RM305K to RM395K, and a typical market range of RM326K to RM374K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM283, with most transactions between RM278 and RM288. The usual range is RM277.50 to RM288.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM11.00 and an average deviation (MAD) of RM5 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.