Garden Park

Taman Makmur, 43200 Kajang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

17 subsales grouped by size

Median
RM 500,000
PSF
RM 566
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 268,000
Level 11
883 sqft · RM 304 PSF
RM 550,000
Level 9
883 sqft · RM 623 PSF
RM 550,000
Level 7
883 sqft · RM 623 PSF
RM 500,000
Level 6
883 sqft · RM 566 PSF
RM 550,000
Level 5
883 sqft · RM 623 PSF
RM 550,000
Level 11
883 sqft · RM 623 PSF
+9 more
1,000 sqft
Condo
RM 550,000
Level 9
1,012 sqft · RM 544 PSF
RM 240,000
Level 8
1,012 sqft · RM 237 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 500,000

RM 566 psf

Median transaction price

Garden Park, Bandar Sungai Long
© OpenStreetMap · CARTO

Garden Park, Taman Makmur, 43200 Kajang, Selangor, Malaysia

Maps

Garden Park in Hulu Langat, Selangor recorded 17 subsale transactions in 2023, with a median price of RM 500K and a median price per square foot (PSF) of RM 566.

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 500K, with most transactions falling within a stable range of RM 373K to RM 550K, and a typical market range of RM 475K to RM 525K.

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

Price per square foot shows a median of RM 566, though individual units vary from RM 421 to RM 712 in the core range. The broader market spans RM 537.86 to RM 595.11, indicating diverse property characteristics. A wider spread (IQR: RM 57.25) and deviation (MAD: RM 145) indicate significant PSF variations, likely due to diverse property types or conditions.

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.