TAMAN PELANGI JAYA

2 properties

2022

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Median Price

RM 250,000

PSF: RM 198

Residential Market

Median Price

RM 250,000

IQR: RM 60

MAD: RM 27

RM 198 PSF 9.7%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Low-Cost House

5 properties

Median Price

RM 145,000

+1.1% CAGR

Median PSF

RM 164.00

+9.3% CAGR

Double Storey Terraced

3 properties

Median Price

RM 280,000

-17.2% CAGR

Median PSF

RM 229.00

+40.5% CAGR

Single Storey Terraced

2 properties

Median Price

RM 317,500

+22.8% CAGR

Median PSF

RM 191.00

+46.5% CAGR

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Low-Cost House	5	RM 145,000 ±3K MAD	+1.14%	RM 164.00 ±12 MAD	+9.32%
Double Storey Terraced	3	RM 280,000 ±88K MAD	-17.19%	RM 229.00 ±11 MAD	+40.50%
Single Storey Terraced	2	RM 317,500 ±33K MAD	+22.81%	RM 191.00 ±36 MAD	+46.45%

TAMAN PELANGI JAYA in Kluang, Johor recorded 2 subsale transactions in 2022, with a median price of RM 250K and a median price per square foot (PSF) of RM 198.

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 250K, with most transactions falling within a stable range of RM 130K to RM 370K, and a typical market range of RM 181K to RM 319K.

Most transactions involved low-cost house, with moderate diversity in property types available.

Price per square foot shows a median of RM 198, though individual units vary from RM 155 to RM 240 in the core range. The broader market spans RM 167.50 to RM 227.50, indicating diverse property characteristics. The spread of RM 60.00 (IQR) and deviation of RM 43 (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.