Taman Orkid Desa

56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 455,000
PSF
RM 335
Price Size
550 sqft
Flat
RM 100,000
Level 2
549 sqft · RM 182 PSF
RM 385,000
Jalan 36/142
678 sqft · RM 568 PSF
RM 125,000
Level 2
689 sqft · RM 181 PSF
1,500 sqft
2-Sty Terrace
RM 950,000
Jalan 16/142
1,507 sqft · RM 630 PSF
1,700 sqft
2-Sty Terrace
RM 628,000
Jalan 2/142
1,722 sqft · RM 365 PSF
RM 525,000
Jalan 8/142
1,722 sqft · RM 305 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 455,000

RM 335 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 6 subsale transactions in 2022, with a median price of RM 455K and a median price per square foot (PSF) of RM 335.

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 455K, with most transactions falling within a stable range of RM 161K to RM 749K, and a typical market range of RM 222K to RM 688K.

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 335, though individual units vary from RM 161 to RM 509 in the core range. The broader market spans RM 271.24 to RM 398.24, indicating diverse property characteristics. A wider spread (IQR: RM 127.00) and deviation (MAD: RM 174) 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.