Taman Warisan Putra

43800 Dengkil, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM470,000
Jalan Warisan Putra 4
1,453 sqft · RM323 PSF
RM400,000
Jalan Wp 4
1,453 sqft · RM275 PSF
RM420,000
Jalan Wp5
1,442 sqft · RM291 PSF
1,550 sqft
2-Sty Terrace
RM550,000
Jalan Wp 8
1,528 sqft · RM360 PSF
RM850,000
Jalan Wp 1
1,528 sqft · RM556 PSF
RM450,000
Jalan Wp 4
1,528 sqft · RM294 PSF
RM480,000
Jalan Wp4
1,528 sqft · RM314 PSF
RM440,000
Jalan Wp 4
1,528 sqft · RM288 PSF
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Market Snapshot

Residential

RM460,000

RM304 psf

Median transaction price

Taman Warisan Putra in Sepang, Selangor recorded 8 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM460K and a median price per square foot (PSF) of RM304.

This area contains both residential and commercial properties. View 8 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM460K, with most transactions falling within a stable range of RM400K to RM596K, and a typical market range of RM400K to RM664K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM304, though individual units vary from RM218 to RM390 in the core range. The broader market spans RM206.60 to RM401.85, indicating diverse property characteristics. A wider spread (IQR: RM195.25) and deviation (MAD: RM86) 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.