Mutiara Heights

Unnamed Rd, 43000, Selangor, Malaysia

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RM600K
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800 sqft

Property Transactions

1 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Condo
RM355,000
Level 4
1,292 sqft · RM275 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

2 auction properties in Mutiara Heights

No. 23-05, Akoya Residence, Jalan Mutiara 3, Mutiara Heights, 43000, Kajang, Selangor
7.4% yield
Type Reserve Price Apartment RM307,800
PSF Size Auction Date RM242.36 1,270 sqft 09 Sep 2026
No. C-11-09, Block C, Ameera Residence, Jalan Mutiara 3, Mutiara Heights, 43000, Kajang, Selangor
5.6% yield
Type Reserve Price Condominium RM400,000
PSF Size Auction Date RM320.26 1,249 sqft 09 Sep 2026

Market Snapshot

Residential

RM355,000

RM275 psf

Median transaction price

Low

Does MUTIARA HEIGHTS rent out well?

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

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Mutiara Heights
© OpenStreetMap · CARTO

Unnamed Rd, 43000, Selangor, Malaysia

Maps

Mutiara Heights in Hulu Langat, Selangor recorded 1 subsale transactions in 2026, with a median price of RM355K and a median price per square foot (PSF) of RM275.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM275, with most transactions between RM275 and RM275. The usual range is RM231.00 to RM319.00, showing that most units are priced quite close to each other. With an IQR of RM88.00 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.

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.