Taman Rimba (Pec Lot 3021)

Taman Rimba, 28400 Mentakab, Pahang, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 272,500
PSF
RM 196
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM 270,000
Jalan Angsana
1,195 sqft · RM 226 PSF
RM 235,000
Jalan Nyatoh
1,195 sqft · RM 197 PSF
1,250 sqft
Terrace
RM 230,000
Jalan Nyatoh
1,238 sqft · RM 186 PSF
1,550 sqft
Terrace
RM 275,000
Jalan Ara
1,539 sqft · RM 179 PSF
RM 300,000
Jalan Kempas
1,539 sqft · RM 195 PSF
1,650 sqft
2-Sty Terrace
RM 380,000
Jalan Terap
1,636 sqft · RM 232 PSF
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Market Snapshot

RM 272,500

RM 196 psf

Median transaction price

RM 459,000

RM 287 psf

Median transaction price

Taman Rimba (Pec Lot 3021)
© OpenStreetMap · CARTO

Taman Rimba, 28400 Mentakab, Pahang, Malaysia

Maps

Taman Rimba (Pec Lot 3021) in Temerloh, Pahang recorded 6 subsale transactions in 2025, with a median price of RM 273K and a median price per square foot (PSF) of RM 196.

This area contains both residential and commercial properties. View 32 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 273K, with most transactions falling within a stable range of RM 230K to RM 323K, and a typical market range of RM 230K to RM 363K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 196, with core pricing between RM 176 and RM 216. Market pricing typically extends from RM 146.17 to RM 245.42, reflecting moderate variation in unit pricing. With an IQR of RM 99.25 and MAD of RM 20, the PSF demonstrates reasonable consistency across the market.

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.