Taman Bkt Minyak Indah

Taman Bukit Minyak, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 495,000
PSF
RM 306
Price Size
650 sqft
LC Flat
RM 78,000
Level 3
657 sqft · RM 119 PSF
1,200 sqft
Terrace
RM 300,000
Jalan Sentul 5
1,216 sqft · RM 247 PSF
1,500 sqft
2-Sty Terrace
RM 495,000
Lorong Bukit Minyak 21
1,507 sqft · RM 328 PSF
2,500 sqft
Semi-D
RM 800,000
Solok Bukit Minyak
2,476 sqft · RM 323 PSF
2,800 sqft
Semi-D
RM 860,000
Lorong Bukit Minyak 13
2,809 sqft · RM 306 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 495,000

RM 306 psf

Median transaction price

Taman Bkt Minyak Indah
© OpenStreetMap · CARTO

Taman Bukit Minyak, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Bkt Minyak Indah in Seberang Perai Tengah, Penang recorded 5 subsale transactions in 2023, with a median price of RM 495K and a median price per square foot (PSF) of RM 306.

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 495K, with most transactions falling within a stable range of RM 199K to RM 791K, and a typical market range of RM 390K to RM 600K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 306, though individual units vary from RM 228 to RM 385 in the core range. The broader market spans RM 242.12 to RM 370.12, indicating diverse property characteristics. A wider spread (IQR: RM 128.00) and deviation (MAD: RM 79) indicate significant PSF variations, likely due to diverse property types or conditions.

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.