Taman Desa Melati 3

155, Jalan desa melati 3, taman desa melati 3, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 470,000
PSF
RM 276
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Terrace
RM 430,000
Jalan Melati 5
1,668 sqft · RM 258 PSF
1,700 sqft
2-Sty Terrace
RM 470,000
Jalan Melati 21
1,701 sqft · RM 276 PSF
RM 500,000
Jalan Melati 21
1,701 sqft · RM 294 PSF
RM 470,000
Jalan Melati 7
1,701 sqft · RM 276 PSF
RM 450,000
Jalan Melati 20
1,701 sqft · RM 265 PSF
1,750 sqft
2-Sty Terrace
RM 630,000
Jalan Melati 21
1,765 sqft · RM 357 PSF
3,350 sqft
2-Sty Terrace
RM 1,000,000
Jalan Melati 13
3,358 sqft · RM 298 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 470,000

RM 276 psf

Median transaction price

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155, Jalan desa melati 3, taman desa melati 3, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Taman Desa Melati 3 in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2024, with a median price of RM 470K and a median price per square foot (PSF) of RM 276.

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 470K, with most transactions falling within a stable range of RM 430K to RM 658K, and a typical market range of RM 434K to RM 507K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 276, with core pricing between RM 246 and RM 307. Market pricing typically extends from RM 249.49 to RM 303.24, reflecting moderate variation in unit pricing. With an IQR of RM 53.75 and MAD of RM 31, the PSF demonstrates reasonable consistency across the market.

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.