Taman Sepang Utama

RJ9R+23, Kampong Bukit Changgang, 43900 Banting, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 155,000
PSF
RM 155
Price Size
600 sqft
LC Flat
RM 150,000
Level 1
620 sqft · RM 242 PSF
800 sqft
Condo
RM 155,000
Level 2
825 sqft · RM 188 PSF
1,000 sqft
Condo
RM 150,000
Level 1
998 sqft · RM 150 PSF
RM 155,000
Level 4
998 sqft · RM 155 PSF
RM 155,000
Level 3
998 sqft · RM 155 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Sepang Utama

Market Snapshot

Residential

RM 155,000

RM 155 psf

Median transaction price

Taman Sepang Utama
© OpenStreetMap · CARTO

RJ9R+23, Kampong Bukit Changgang, 43900 Banting, Selangor, Malaysia

Maps

Taman Sepang Utama in Kuala Langat, Selangor recorded 5 subsale transactions in 2024, with a median price of RM 155K and a median price per square foot (PSF) of RM 155.

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 155K, with most transactions falling within a stable range of RM 153K to RM 155K, and a typical market range of RM 150K to RM 155K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

Price per square foot shows a median of RM 155, though individual units vary from RM 121 to RM 190 in the core range. The broader market spans RM 135.84 to RM 174.84, indicating diverse property characteristics. The spread of RM 39.00 (IQR) and deviation of RM 35 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.