Taman Perwira

53100, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 1,400,000
PSF
RM 251
Period
transactions middle 50% (P25–P75)
4,000 sqft
Bungalow
RM 1,000,000
Jalan Wira 1
3,980 sqft · RM 251 PSF
4,200 sqft
Bungalow
RM 1,250,000
Jalan Perwira 2
4,209 sqft · RM 297 PSF
5,250 sqft
Bungalow
RM 1,100,000
Jalan Wira 5
5,269 sqft · RM 209 PSF
6,400 sqft
Bungalow
RM 1,400,000
Jalan Wira 4
6,386 sqft · RM 219 PSF
6,600 sqft
Bungalow
RM 1,850,000
Jalan Wira 2
6,583 sqft · RM 281 PSF
6,950 sqft
Bungalow
RM 1,500,000
Jalan Perwira 2
6,953 sqft · RM 216 PSF
7,250 sqft
Bungalow
RM 2,000,000
Jalan Wira 2
7,261 sqft · RM 275 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,400,000

RM 251 psf

Median transaction price

Taman Perwira
© OpenStreetMap · CARTO

Taman Perwira, 53100, Selangor, Malaysia

Maps

Taman Perwira in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 1.40 million and a median price per square foot (PSF) of RM 251.

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 1.40 million, with most transactions falling within a stable range of RM 1.10 million to RM 1.70 million, and a typical market range of RM 1.15 million to RM 1.65 million.

Most transactions involved detached, with minimal variety in property types.

The median PSF stands at RM 251, with core pricing between RM 219 and RM 283. Market pricing typically extends from RM 221.02 to RM 281.52, reflecting moderate variation in unit pricing. With an IQR of RM 60.50 and MAD of RM 32, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.