Taman Wangsa Indah

71600 Kuala Klawang, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM130,000
Jalan Kampung Larong
1,195 sqft · RM109 PSF
RM140,000
Jalan Kampung Larong
1,195 sqft · RM117 PSF
RM130,000
Off Jalan Kuala Klawang / Titi
1,195 sqft · RM109 PSF
1,550 sqft
Terrace
RM250,000
Off Jalan Kampung Larong
1,539 sqft · RM162 PSF
RM270,000
Off Jalan Kuala Klawang / Titi
1,539 sqft · RM175 PSF
RM250,000
Off Jalan Kampung Larong
1,539 sqft · RM162 PSF
3,150 sqft
LC House
RM298,000
Off Jalan Kuala Klawang / Titi
3,132 sqft · RM95 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM250,000

RM117 psf

Median transaction price

Taman Wangsa Indah
© OpenStreetMap · CARTO

Taman wangsa Indah, 71600 Kuala Klawang, Negeri Sembilan, Malaysia

Maps

Taman Wangsa Indah in Jelebu, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM117.

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 RM250K, with most transactions falling within a stable range of RM202K to RM298K, and a typical market range of RM188K to RM298K.

Most transactions involved low-cost house, though some variety exists in the market.

The median PSF stands at RM117, with core pricing between RM95 and RM139. Market pricing typically extends from RM90.68 to RM143.68, reflecting moderate variation in unit pricing. The spread of RM53.00 (IQR) and deviation of RM22 (MAD) suggest moderate price variations reflecting different property features.

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.