Pangsapuri Asteria, Bandar Parkland

4/KS09, Persiaran Delima, Bandar Parklands, 41200 Klang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 277,500
PSF
RM 322
Price Size
850 sqft
Condo
RM 255,000
Level 3
861 sqft · RM 296 PSF
RM 280,000
Level 2
861 sqft · RM 325 PSF
RM 250,000
Level 8
861 sqft · RM 290 PSF
RM 270,000
Level 5
861 sqft · RM 314 PSF
RM 275,000
Level 3
861 sqft · RM 319 PSF
RM 355,000
Level 3
861 sqft · RM 412 PSF
RM 334,000
Level 1
861 sqft · RM 388 PSF
RM 320,000
Level 7
861 sqft · RM 372 PSF
Legend Recent Highest Price Highest PSF

Posts about Pangsapuri Asteria, Bandar Parkland

Market Snapshot

Residential

RM 277,500

RM 322 psf

Median transaction price

Pangsapuri Asteria, Bandar Parkland
© OpenStreetMap · CARTO

4/KS09, Persiaran Delima, Bandar Parklands, 41200 Klang, Selangor, Malaysia

Maps

Pangsapuri Asteria, Bandar Parkland in Klang, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 278K and a median price per square foot (PSF) of RM 322.

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 278K, with most transactions falling within a stable range of RM 250K to RM 314K, and a typical market range of RM 250K to RM 305K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM 322, with core pricing between RM 280 and RM 364. Market pricing typically extends from RM 290.26 to RM 354.26, reflecting moderate variation in unit pricing. With an IQR of RM 64.00 and MAD of RM 42, the PSF demonstrates reasonable consistency across the market.

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.