Bukit Dumbar Indah/Permai

Bukit Dumbar, 11600 Jelutong, Pulau Pinang, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM480,000
PSF
RM490

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM450,000
Level 18
883 sqft · RM510 PSF
RM440,000
Level 19
915 sqft · RM481 PSF
RM500,000
Level 11
883 sqft · RM566 PSF
RM570,000
Level 2
883 sqft · RM646 PSF
RM570,000
Level 7
918 sqft · RM621 PSF
RM450,000
Level 3
980 sqft · RM459 PSF
RM485,000
Level 1
990 sqft · RM490 PSF
RM480,000
Level 2
990 sqft · RM485 PSF
1,150 sqft
Condo
RM450,000
Level 16
1,130 sqft · RM398 PSF
Legend Recent Highest Price Highest PSF

Selling in Bukit Dumbar Indah/Permai? Homes here sold for a median of RM480,000.

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Market Snapshot

Residential

RM480,000

RM490 psf

Median transaction price

Bukit Dumbar Indah/Permai
© OpenStreetMap · CARTO

Bukit Dumbar, 11600 Jelutong, Pulau Pinang, Malaysia

Maps

Bukit Dumbar Indah/Permai in Timur Laut, Penang recorded 9 subsale transactions in 2023, with a median price of RM480K and a median price per square foot (PSF) of RM490.

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 RM480K, with most transactions falling within a stable range of RM440K to RM527K, and a typical market range of RM448K to RM513K.

Most transactions involved condominium/apartment, though some variety exists in the market.

The median PSF stands at RM490, with core pricing between RM415 and RM565. Market pricing typically extends from RM433.76 to RM545.76, reflecting moderate variation in unit pricing. The spread of RM112.00 (IQR) and deviation of RM75 (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.