PEKAN SABAK BERNAM

2 properties

2022

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Median Price

RM 364,000

PSF: RM 233

Residential Market

Median Price

RM 364,000

IQR: RM 123

MAD: RM 64

RM 233 PSF 4.4%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Single Storey Terraced

12 properties

Median Price

RM 322,500

+4.8% CAGR

Median PSF

RM 179.50

-1.2% CAGR

Double Storey Terraced

4 properties

Median Price

RM 561,500

+18.2% CAGR

Median PSF

RM 291.00

-24.2% CAGR

Single Storey Semi-D

1 properties

Median Price

RM 515,000

Median PSF

RM 158.00

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Single Storey Terraced	12	RM 322,500 ±26K MAD	+4.77%	RM 179.50 ±8 MAD	-1.24%
Double Storey Terraced	4	RM 561,500 ±65K MAD	+18.21%	RM 291.00 ±10 MAD	-24.24%
Single Storey Semi-D	1	RM 515,000	-	RM 158.00	-

PEKAN SABAK BERNAM in Sabak Bernam, Selangor recorded 2 subsale transactions in 2022, with a median price of RM 364K and a median price per square foot (PSF) of RM 233.

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 364K, with most transactions falling within a stable range of RM 280K to RM 448K, and a typical market range of RM 280K to RM 448K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM 233, though individual units vary from RM 175 to RM 291 in the core range. The broader market spans RM 169.13 to RM 296.88, indicating diverse property characteristics. The spread of RM 127.75 (IQR) and deviation of RM 58 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.