Bandar Parklands

42000 Klang, Selangor, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM1,200,000
Lorong Kristal 5E/Ks9
2,210 sqft RM543 PSF
RM870,000
Lorong Kristal 5A/Ks09
2,210 sqft RM394 PSF
RM1,250,000
Lorong Kristal 5G/Ks9
2,210 sqft RM566 PSF
RM1,000,000
Lorong Kristal 5K - Fasa C5
2,210 sqft RM453 PSF
RM855,000
Lorong Kristal 5O/Ks09
2,210 sqft RM387 PSF
RM900,000
Lorong Kristal 7B/Ks9
2,217 sqft RM406 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM950,000

RM429 psf

Median transaction price

RM550,000

RM390 psf

Median transaction price

High

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Bandar Parklands
© OpenStreetMap · CARTO

Bandar Parklands, 42000 Klang, Selangor, Malaysia

Maps

Bandar Parklands in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 2,175 and 2,224 sqft, with a median price of RM950K and a median price per square foot (PSF) of RM429.

This area contains both residential and commercial properties. View 160 residential properties or 35 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM950K, with most transactions falling within a stable range of RM855K to RM1.11 million, and a typical market range of RM855K to RM1.25 million.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM429, with core pricing between RM358 and RM501. Market pricing typically extends from RM374.19 to RM484.19, reflecting moderate variation in unit pricing. The spread of RM110.00 (IQR) and deviation of RM72 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.