Plaza Prima Setapak Apartment

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales found

Median
RM437,500
PSF
RM278
Price Size
Period
transactions middle 50% (P25–P75)
RM420,000
Level 11
1,572 sqft RM267 PSF
RM455,000
Level 5
1,572 sqft RM290 PSF
Legend Recent Highest Price Highest PSF

Selling in Plaza Prima Setapak Apartment? Homes here sold for a median of RM437,500.

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Market Snapshot

Residential

RM437,500

RM278 psf

Median transaction price

High

Does PLAZA PRIMA SETAPAK APARTMENT rent out well?

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

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Plaza Prima Setapak Apartment
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Plaza Prima Setapak Apartment in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM438K and a median price per square foot (PSF) of RM278.

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 RM438K, with most transactions falling within a stable range of RM420K to RM455K, and a typical market range of RM420K to RM455K.

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

For price per square foot, the median is RM278, with most transactions between RM267 and RM290. The usual range is RM262.89 to RM293.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.00 and an average deviation (MAD) of RM11 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.