Taman Meranti Indah

Pahang, Bera, Teriang

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM380,000
Jalan Meranti Indah 7
1,679 sqft · RM226 PSF
RM280,000
Jalan Meranti Indah 7
1,679 sqft · RM167 PSF
RM300,000
Jalan Meranti Indah 11
1,722 sqft · RM174 PSF
RM330,000
Jalan Meranti Indah 6
1,679 sqft · RM197 PSF
1,850 sqft
2-Sty Terrace
RM300,000
Jalan Meranti Indah 3
1,830 sqft · RM164 PSF
RM430,000
Jalan Meranti Indah 7
1,873 sqft · RM230 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Meranti Indah? Homes here sold for a median of RM315,000.

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Market Snapshot

Residential

RM315,000

RM185 psf

Median transaction price

Taman Meranti Indah
© OpenStreetMap · CARTO

Taman Meranti Indah, Bera, Pahang

Taman Meranti Indah in Bera, Pahang recorded 6 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM315K and a median price per square foot (PSF) of RM185.

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 RM315K, with most transactions falling within a stable range of RM280K to RM367K, and a typical market range of RM280K to RM389K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM185, with core pricing between RM158 and RM212. Market pricing typically extends from RM165.86 to RM204.86, reflecting moderate variation in unit pricing. With an IQR of RM39.00 and MAD of RM27, 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.