Taman Murni I & Ii

2 & 1, Kampung Attap, 50000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

7 subsales grouped by size · LC House →

Median
RM 250,000
PSF
RM 232
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 260,000
Jalan Desa Rhu 15
1,076 sqft · RM 242 PSF
RM 190,000
Persiaran Desa Rhu 19
1,076 sqft · RM 177 PSF
RM 245,000
Jalan Desa Rhu 16
1,076 sqft · RM 228 PSF
RM 260,000
Persiaran Desa Rhu 24
1,076 sqft · RM 242 PSF
RM 110,000
Lorong Desa Rhu 17/1
1,076 sqft · RM 102 PSF
RM 250,000
Jalan Desa Rhu 21
1,076 sqft · RM 232 PSF
RM 260,000
Jalan Desa Rhu 15
1,076 sqft · RM 242 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 250,000

RM 232 psf

Median transaction price

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2 & 1, Kampung Attap, 50000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Murni I & Ii in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2022, with a median price of RM 250K and a median price per square foot (PSF) of RM 232.

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 250K, with most transactions falling within a stable range of RM 198K to RM 260K, and a typical market range of RM 219K to RM 260K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM 232, though individual units vary from RM 184 to RM 281 in the core range. The broader market spans RM 201.01 to RM 263.51, indicating diverse property characteristics. The spread of RM 62.50 (IQR) and deviation of RM 49 (MAD) suggest moderate price variations reflecting different property features.

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.