Orchis Apartment, Bandar Parklands

orchis apartment block c-3, parkland, 3, jalan delima 9/ks9, Bandar Parklands, 42000 Klang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM285,000
PSF
RM344
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM278,000
Level 2
829 sqft · RM335 PSF
RM285,000
Level 3A
829 sqft · RM344 PSF
RM285,000
Level 1
829 sqft · RM344 PSF
RM307,000
Level 2
829 sqft · RM370 PSF
Legend Recent Highest Price Highest PSF

Selling in Orchis Apartment, Bandar Parklands? Homes here sold for a median of RM285,000.

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Market Snapshot

Residential

RM285,000

RM344 psf

Median transaction price

Orchis Apartment, Bandar Parklands
© OpenStreetMap · CARTO

orchis apartment block c-3, parkland, 3, jalan delima 9/ks9, Bandar Parklands, 42000 Klang, Selangor, Malaysia

Maps

Orchis Apartment, Bandar Parklands in Klang, Selangor recorded 4 subsale transactions in 2024, with a median price of RM285K and a median price per square foot (PSF) of RM344.

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 RM285K, with most transactions falling within a stable range of RM278K to RM296K, and a typical market range of RM278K to RM301K.

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

For price per square foot, the median is RM344, with most transactions between RM331 and RM357. The usual range is RM325.61 to RM362.11, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 and an average deviation (MAD) of RM13 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.