MUTIARA HEIGHTS

5 properties

2025

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Median Price

RM 397,000

PSF: RM 318

Residential Market

Median Price

RM 397,000

IQR: RM 80

MAD: RM 10

RM 318 PSF 6.4%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Condo/Apartment

263 properties

Median Price

RM 450,000

-7.0% CAGR

Median PSF

RM 348.00

-6.9% CAGR

Flat

45 properties

Median Price

RM 335,500

+6.3% CAGR

Median PSF

RM 433.00

+6.3% CAGR

Double Storey Terraced

8 properties

Median Price

RM 907,000

-1.8% CAGR

Median PSF

RM 485.25

-1.8% CAGR

Shop/Retail Lot

1 properties

Median Price

RM 218,000

Median PSF

RM 307.00

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Condo/Apartment	263	RM 450,000 ±53K MAD	-6.97%	RM 348.00 ±30 MAD	-6.94%
Flat	45	RM 335,500 ±15K MAD	+6.27%	RM 433.00 ±19 MAD	+6.31%
Double Storey Terraced	8	RM 907,000 ±25K MAD	-1.80%	RM 485.25 ±14 MAD	-1.80%
Shop/Retail Lot	1	RM 218,000	-	RM 307.00	-

MUTIARA HEIGHTS in Hulu Langat, Selangor recorded 5 subsale transactions in 2025, with a median price of RM 397K and a median price per square foot (PSF) of RM 318.

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 RM 397K, with most transactions falling within a stable range of RM 344K to RM 450K, and a typical market range of RM 357K to RM 437K.

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

The median PSF stands at RM 318, with core pricing between RM 273 and RM 363. Market pricing typically extends from RM 278.00 to RM 358.00, reflecting moderate variation in unit pricing. With an IQR of RM 80.00 and MAD of RM 45, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.