TMN SENANGIN FASA 1

1 properties

2022

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Median Price

RM 275,000

PSF: RM 197

Residential Market

Median Price

RM 275,000

IQR: RM 17

MAD: RM 17

RM 197 PSF 16.8%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Single Storey Terraced

19 properties

Median Price

RM 280,000

+2.3% CAGR

Median PSF

RM 200.00

+2.3% CAGR

Single Storey Semi-D

6 properties

Median Price

RM 330,000

+7.4% CAGR

Median PSF

RM 121.00

+4.3% CAGR

Double Storey Semi-D

3 properties

Median Price

RM 487,500

-14.3% CAGR

Median PSF

RM 184.00

-8.3% CAGR

Double Storey Shop

2 properties

Median Price

RM 205,000

-29.2% CAGR

Median PSF

RM 146.50

-29.7% CAGR

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Single Storey Terraced	19	RM 280,000 ±5K MAD	+2.33%	RM 200.00 ±4 MAD	+2.28%
Single Storey Semi-D	6	RM 330,000 ±5K MAD	+7.42%	RM 121.00 ±2 MAD	+4.32%
Double Storey Semi-D	3	RM 487,500 ±38K MAD	-14.29%	RM 184.00 ±8 MAD	-8.33%
Double Storey Shop	2	RM 205,000 ±35K MAD	-29.17%	RM 146.50 ±26 MAD	-29.65%

TMN SENANGIN FASA 1 in Kulim, Kedah recorded 1 subsale transactions in 2022, with a median price of RM 275K and a median price per square foot (PSF) of RM 197.

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

For price per square foot, the median is RM 197, with most transactions between RM 197 and RM 197. The usual range is RM 188.75 to RM 205.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 16.50 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.