Bandar Parklands

42000 Klang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,300 sqft
2-Sty Terrace
RM765,000
Lorong Kristal 7C/Ks 9
2,282 sqft · RM335 PSF
RM925,000
Lorong Kristal 7C/Ks09
2,282 sqft · RM405 PSF
RM710,000
Lorong Kristal 7G/Ks9
2,282 sqft · RM311 PSF
RM730,000
Lorong Kristal 7G/Ks9
2,282 sqft · RM320 PSF
RM715,000
Lorong Kristal 7G/Ks9
2,282 sqft · RM313 PSF
RM790,000
Jalan Kristal 7G/Ks9
2,282 sqft · RM346 PSF
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Market Snapshot

RM747,500

RM328 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 2,275 and 2,324 sqft, with a median price of RM748K and a median price per square foot (PSF) of RM328.

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 RM748K, with most transactions falling within a stable range of RM710K to RM821K, and a typical market range of RM710K to RM925K.

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

For price per square foot, the median is RM328, with most transactions between RM295 and RM360. The usual range is RM272.57 to RM382.57, showing that most units are priced quite close to each other. With an IQR of RM110.00 and MAD of RM32, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.