Taman Bukit Indah

Pahang, Raub, Mukim Gali

Property Transactions

7 subsales grouped by size

Median
RM808,000
PSF
RM213
Period
transactions middle 50% (P25–P75)
3,250 sqft
Semi-D
RM820,000
Lorong Bkt Indah 1
3,272 sqft · RM251 PSF
RM770,000
Lorong Bkt Indah 1
3,272 sqft · RM235 PSF
RM808,000
Lorong Bkt Indah 1
3,272 sqft · RM247 PSF
3,700 sqft
Semi-D
RM780,000
Lorong Bukit Indah 1
3,692 sqft · RM211 PSF
4,100 sqft
Semi-D
RM869,000
Jalan Cheroh
4,080 sqft · RM213 PSF
4,200 sqft
Semi-D
RM788,000
Lorong Bukit Indah 1
4,198 sqft · RM188 PSF
4,300 sqft
Semi-D
RM865,000
Lorong Bukit Indah 1
4,316 sqft · RM200 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM808,000

RM213 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Taman Bukit Indah
© OpenStreetMap · CARTO

Taman Bukit Indah, Raub, Pahang

Taman Bukit Indah in Raub, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM808K and a median price per square foot (PSF) of RM213.

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 RM808K, with most transactions falling within a stable range of RM780K to RM836K, and a typical market range of RM779K to RM837K.

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

The median PSF stands at RM213, with core pricing between RM191 and RM235. Market pricing typically extends from RM195.27 to RM230.77, reflecting moderate variation in unit pricing. With an IQR of RM35.50 and MAD of RM22, 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. 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.