DIAMOND RESIDENCE

1 properties

2022

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Median Price

RM 556,000

PSF: RM 427

Residential Market

Median Price

RM 556,000

IQR: RM 16

MAD: RM 11

RM 427 PSF 1.2%

PSF Trends (2021-2025)

PROPERTY TYPES OVERVIEW

Detached

34 properties

Median Price

RM 1,754,000

-7.2% CAGR

Median PSF

RM 364.00

-3.6% CAGR

Double Storey Terraced

28 properties

Median Price

RM 740,000

-9.3% CAGR

Median PSF

RM 470.00

-6.5% CAGR

Double Storey Semi-D

14 properties

Median Price

RM 1,069,500

-12.3% CAGR

Median PSF

RM 366.25

-8.1% CAGR

Service Apartment

3 properties

Median Price

RM 528,000

-10.1% CAGR

Median PSF

RM 424.50

-1.2% CAGR

Property Type	Properties	Median Price	Price CAGR	Median PSF	PSF CAGR
Detached	34	RM 1,754,000 ±246K MAD	-7.21%	RM 364.00 ±12 MAD	-3.63%
Double Storey Terraced	28	RM 740,000 ±85K MAD	-9.33%	RM 470.00 ±14 MAD	-6.50%
Double Storey Semi-D	14	RM 1,069,500 ±71K MAD	-12.25%	RM 366.25 ±29 MAD	-8.12%
Service Apartment	3	RM 528,000 ±28K MAD	-10.07%	RM 424.50 ±3 MAD	-1.17%

DIAMOND RESIDENCE in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2022, with a median price of RM 556K and a median price per square foot (PSF) of RM 427.

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 service apartment, with minimal variety in property types.

For price per square foot, the median is RM 427, with most transactions between RM 427 and RM 427. The usual range is RM 419.00 to RM 435.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 16.00 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.