Taman Bkt Pandan Bistari

Jalan Bukit Pandan Bistari 5, Taman Bukit Permai, 56100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

12 subsales grouped by road

Median
RM622,500
PSF
RM454
Period
transactions middle 50% (P25–P75)
RM600,000
1,421 sqft
RM422 PSF
RM710,000
1,421 sqft
RM500 PSF
RM738,000
1,421 sqft
RM519 PSF
RM600,000
1,421 sqft
RM422 PSF
RM600,000
1,421 sqft
RM422 PSF
RM680,000
1,421 sqft
RM479 PSF
RM645,000
1,421 sqft
RM454 PSF
RM765,000
1,421 sqft
RM538 PSF
RM540,000
1,421 sqft
RM380 PSF
RM540,000
1,421 sqft
RM380 PSF
RM550,000
1,421 sqft
RM387 PSF
RM780,000
1,421 sqft
RM549 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM622,500

RM426 psf

Median transaction price

Taman Bkt Pandan Bistari
© OpenStreetMap · CARTO

Jalan Bukit Pandan Bistari 5, Taman Bukit Permai, 56100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Bkt Pandan Bistari in Hulu Langat, Selangor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM623K and a median price per square foot (PSF) of RM454.

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 RM623K, with most transactions falling within a stable range of RM545K to RM700K, and a typical market range of RM558K to RM687K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM454, with most transactions between RM416 and RM491. The usual range is RM428.46 to RM479.46, showing that most units are priced quite close to each other. With an IQR of RM51.00 and MAD of RM38, 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.