Taman Waja

Taman Pilah Jaya, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM 90,000
PSF
RM 143
Price Size
600 sqft
Flat
RM 100,000
Level 3
624 sqft · RM 160 PSF
RM 47,000
Level 1
624 sqft · RM 75 PSF
RM 100,000
Level 2
592 sqft · RM 169 PSF
RM 110,000
Level 1
646 sqft · RM 170 PSF
RM 110,000
Level 1
630 sqft · RM 175 PSF
RM 100,000
Level 4
630 sqft · RM 159 PSF
RM 90,000
Level 1
630 sqft · RM 143 PSF
RM 90,000
Level 2
630 sqft · RM 143 PSF
RM 43,000
Level G
630 sqft · RM 68 PSF
RM 55,000
Level 1
630 sqft · RM 87 PSF
RM 90,000
Level 4
630 sqft · RM 143 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 90,000

RM 143 psf

Median transaction price

Taman Waja
© OpenStreetMap · CARTO

Taman Waja, Taman Pilah Jaya, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Maps

Taman Waja in Kuala Pilah, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM 90K and a median price per square foot (PSF) of RM 143.

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 90K, with most transactions falling within a stable range of RM 66K to RM 110K, and a typical market range of RM 81K to RM 99K.

Most transactions involved flats, with moderate diversity in property types available.

Price per square foot shows a median of RM 143, though individual units vary from RM 105 to RM 181 in the core range. The broader market spans RM 127.18 to RM 158.68, indicating diverse property characteristics. A wider spread (IQR: RM 31.50) and deviation (MAD: RM 38) indicate significant PSF variations, likely due to diverse property types or conditions.

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.