Taman Orkid Desa

56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 591,500
PSF
RM 328
Price Size
550 sqft
Flat
RM 140,000
Level 1
549 sqft · RM 255 PSF
1,700 sqft
2-Sty Terrace
RM 560,000
Jalan 3/142
1,722 sqft · RM 325 PSF
1,850 sqft
2-Sty Terrace
RM 1,100,000
Jalan 3/142
1,873 sqft · RM 587 PSF
1,900 sqft
2-Sty Terrace
RM 623,000
Jalan 8/142, Off Jalan 10/142/Jalan Cerdik
1,884 sqft · RM 331 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 591,500

RM 328 psf

Median transaction price

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Taman Orkid Desa, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Orkid Desa in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 592K and a median price per square foot (PSF) of RM 328.

This area contains both residential and commercial properties. View 30 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 592K, with most transactions falling within a stable range of RM 251K to RM 932K, and a typical market range of RM 359K to RM 824K.

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

Price per square foot shows a median of RM 328, though individual units vary from RM 202 to RM 454 in the core range. The broader market spans RM 264.45 to RM 391.45, indicating diverse property characteristics. A wider spread (IQR: RM 127.00) and deviation (MAD: RM 126) indicate significant PSF variations, likely due to diverse property types or conditions.

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.