TMN SUBANG MEWAH

1 properties

2024

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Median Price

RM 580,000

PSF: RM 485

Residential Market

Median Price

RM 580,000

IQR: RM 13

MAD: RM 13

RM 485 PSF 5.1%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Single Storey Terraced

11 properties

Median Price

RM 267,500

+2.6% CAGR

Median PSF

RM 185.00

+1.9% CAGR

Single Storey Semi-D

5 properties

Median Price

RM 467,500

-10.6% CAGR

Median PSF

RM 119.50

+9.0% CAGR

Double Storey Terraced

3 properties

Median Price

RM 500,000

-7.1% CAGR

Median PSF

RM 272.00

+28.2% CAGR

Town House

2 properties

Median Price

RM 182,500

-6.2% CAGR

Median PSF

RM 279.50

-8.2% CAGR

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Single Storey Terraced	11	RM 267,500 ±10K MAD	+2.60%	RM 185.00 ±5 MAD	+1.92%
Single Storey Semi-D	5	RM 467,500 ±118K MAD	-10.61%	RM 119.50 ±12 MAD	+9.01%
Double Storey Terraced	3	RM 500,000 ±20K MAD	-7.06%	RM 272.00 ±15 MAD	+28.23%
Town House	2	RM 182,500 ±18K MAD	-6.21%	RM 279.50 ±36 MAD	-8.16%

TMN SUBANG MEWAH in Petaling, Selangor recorded 1 subsale transactions in 2024, with a median price of RM 580K and a median price per square foot (PSF) of RM 485.

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 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 485, with most transactions between RM 485 and RM 485. The usual range is RM 478.50 to RM 491.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 13.00 and an average deviation (MAD) of RM 0 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.