Taman Datuk Senu

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Jalan Dato Senu 11
452 sqft RM664 PSF
RM280,000
Jalan Datuk Senu 12
452 sqft RM619 PSF
RM215,000
Jalan. Datuk Senu 12
452 sqft RM476 PSF
RM250,000
Jalan Dato Senu 9
452 sqft RM553 PSF
RM220,000
Jalan Dato Senu 7
452 sqft RM487 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Datuk Senu? Homes here sold for a median of RM250,000.

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Market Snapshot

Residential

RM250,000

RM553 psf

Median transaction price

Taman Datuk Senu
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Datuk Senu in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, sized between 425 and 474 sqft, with a median price of RM250K and a median price per square foot (PSF) of RM553.

This area contains both residential and commercial properties. View 28 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM250K, with most transactions falling within a stable range of RM217K to RM283K, and a typical market range of RM215K to RM300K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM553, with core pricing between RM480 and RM626. Market pricing typically extends from RM491.00 to RM615.00, reflecting moderate variation in unit pricing. With an IQR of RM124.00 and MAD of RM73, the PSF demonstrates reasonable consistency across the market.

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.