Taman Lestari Permai (Mukim Dengkil)

Taman Lestari Permai, 43400 Seri Kembangan, Selangor, Malaysia

Property Transactions

1 subsales grouped by size

Median
RM395,000
PSF
RM282
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM395,000
Jalan Permai 8
1,399 sqft · RM282 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lestari Permai (Mukim Dengkil)? Homes here sold for a median of RM395,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Taman Lestari Permai (Mukim Dengkil)

What’s happening in Taman Lestari Permai (Mukim Dengkil)?

No posts about Taman Lestari Permai (Mukim Dengkil) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM395,000

RM282 psf

Median transaction price

Taman Lestari Permai (Mukim Dengkil)
© OpenStreetMap · CARTO

Taman Lestari Permai, 43400 Seri Kembangan, Selangor, Malaysia

Maps

Taman Lestari Permai (Mukim Dengkil) in Sepang, Selangor recorded 1 subsale transactions between 2021 and 2026, with a median price of RM395K and a median price per square foot (PSF) of RM282.

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 RM282, with most transactions between RM282 and RM282. The usual range is RM267.50 to RM296.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM0 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.