Taman Daya

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size · Flat →

Median
RM 137,000
PSF
RM 208
Price Size
Period
transactions middle 50% (P25–P75)
RM 137,000
Level 1
552 sqft · RM 248 PSF
RM 158,000
Level 1
552 sqft · RM 286 PSF
600 sqft
Office
RM 126,000
Level MZ
625 sqft · RM 202 PSF
RM 130,000
Level MZ
625 sqft · RM 208 PSF
700 sqft
Flat
RM 100,000
Level 2
716 sqft · RM 140 PSF
850 sqft
Flat
RM 250,000
Level 2
828 sqft · RM 302 PSF
1,150 sqft
Flat
RM 147,000
Level 2
1,136 sqft · RM 129 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 147,000

RM 248 psf

Median transaction price

RM 128,000

RM 205 psf

Median transaction price

Average

Rental Yield Data

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Taman Daya
© OpenStreetMap · CARTO

Taman Daya, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Daya in Gombak, Selangor recorded 7 subsale transactions in 2023, with a median price of RM 137K and a median price per square foot (PSF) of RM 208.

This area contains both residential and commercial properties. View 23 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 137K, with most transactions falling within a stable range of RM 100K to RM 181K, and a typical market range of RM 100K to RM 190K.

Most transactions involved flats, with moderate diversity in property types available.

Price per square foot shows a median of RM 208, though individual units vary from RM 146 to RM 270 in the core range. The broader market spans RM 163.02 to RM 253.02, indicating diverse property characteristics. A wider spread (IQR: RM 90.00) and deviation (MAD: RM 62) 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.