Taman Perwira / Taman Setia Gombak

Taman Perwira, 53100, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 1,200,000
PSF
RM 267
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM 466,000
Jalan Zamrud
1,540 sqft · RM 303 PSF
1,700 sqft
2-Sty Terrace
RM 800,000
Jalan Nilam 1
1,701 sqft · RM 470 PSF
4,650 sqft
Bungalow
RM 1,200,000
Jalan Akik
4,674 sqft · RM 257 PSF
6,500 sqft
Bungalow
RM 1,200,000
Jalan Geliga 1
6,521 sqft · RM 184 PSF
6,950 sqft
Bungalow
RM 1,850,000
Jalan Delima
6,936 sqft · RM 267 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,200,000

RM 267 psf

Median transaction price

Taman Perwira / Taman Setia Gombak in Gombak, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 1.20 million and a median price per square foot (PSF) of RM 267.

This area contains both residential and commercial properties. View 22 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.20 million, with most transactions falling within a stable range of RM 736K to RM 1.66 million, and a typical market range of RM 906K to RM 1.49 million.

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 267, though individual units vary from RM 171 to RM 362 in the core range. The broader market spans RM 187.73 to RM 345.73, indicating diverse property characteristics. A wider spread (IQR: RM 158.00) and deviation (MAD: RM 95) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.