Padang Limau Nipis

Terengganu, Marang, Alur Limbat

Property Transactions

6 subsales grouped by size · Semi-D →

Median
RM 355,000
PSF
RM 102
Price Size
Period
transactions middle 50% (P25–P75)
2,850 sqft
Semi-D
RM 360,000
Jalan Kampung Nyut-Nyut-Rawai (P/L:3339
2,852 sqft · RM 126 PSF
3,100 sqft
Semi-D
RM 360,000
Jalan Kampung Nyut-Nyut-Rawai (P/L:3339
3,122 sqft · RM 115 PSF
3,150 sqft
Semi-D
RM 360,000
Jalan Kampung Nyut-Nyut-Rawai (P/L:3339
3,165 sqft · RM 114 PSF
3,650 sqft
Semi-D
RM 330,000
Jalan Kampung Nyut-Nyut-Rawai (P/L:3339
3,638 sqft · RM 91 PSF
4,050 sqft
Semi-D
RM 350,000
Jalan Rawai - Pasir Tinggi (P/L:
4,047 sqft · RM 86 PSF
4,100 sqft
Semi-D
RM 325,000
Jalan Pasir Tinggi-Rawai P/L 2223
4,080 sqft · RM 80 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 355,000

RM 102 psf

Median transaction price

Padang Limau Nipis in Marang, Terengganu recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 355K and a median price per square foot (PSF) of RM 102.

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 355K, with most transactions falling within a stable range of RM 340K to RM 360K, and a typical market range of RM 328K to RM 360K.

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

The median PSF stands at RM 102, with core pricing between RM 85 and RM 119. Market pricing typically extends from RM 90.23 to RM 114.23, reflecting moderate variation in unit pricing. The spread of RM 24.00 (IQR) and deviation of RM 17 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.