Taman Tun Perak

48000 Rawang, Selangor, Malaysia

Property Transactions

10 subsales found

Median
RM 491,500
PSF
RM 333
Price Size
RM 140,000
Level 2
657 sqft RM 213 PSF
RM 500,000
Jalan Tun Perak 7
1,496 sqft RM 334 PSF
RM 155,000
Level 1
657 sqft RM 236 PSF
RM 493,000
Jalan Tp 3A
1,302 sqft RM 379 PSF
RM 500,000
Jalan Tun Perak 24
1,302 sqft RM 384 PSF
RM 120,000
Level 3
657 sqft RM 183 PSF
RM 495,000
Jalan Tp 17
1,496 sqft RM 331 PSF
RM 490,000
Jalan Tp 1
1,238 sqft RM 396 PSF
RM 800,000
Jalan Tun Perak 10
1,464 sqft RM 546 PSF
RM 112,000
Level 3
657 sqft RM 171 PSF
10
transactions

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Market Snapshot

Residential

RM 491,500

RM 333 psf

Median transaction price

Taman Tun Perak
© OpenStreetMap · CARTO

Taman Tun Perak, 48000 Rawang, Selangor, Malaysia

Maps

Taman Tun Perak in Gombak, Selangor recorded 10 subsale transactions in 2023, with a median price of RM 492K and a median price per square foot (PSF) of RM 333.

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 492K, with most transactions falling within a stable range of RM 270K to RM 713K, and a typical market range of RM 322K to RM 662K.

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 333, though individual units vary from RM 221 to RM 444 in the core range. The broader market spans RM 274.01 to RM 391.01, indicating diverse property characteristics. A wider spread (IQR: RM 117.00) and deviation (MAD: RM 112) 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.