Menara Bakti Condominium

Jalan 14/17, Seksyen 14, 46100 Petaling Jaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 322,500
PSF
RM 368
850 sqft
Condo
RM 315,000
Level 13
861 sqft · RM 366 PSF
RM 330,000
Level 8
861 sqft · RM 383 PSF
RM 310,000
Level 8
861 sqft · RM 360 PSF
RM 370,000
Level 10
861 sqft · RM 430 PSF
RM 295,000
Level 8
861 sqft · RM 343 PSF
RM 390,000
Level 6
861 sqft · RM 453 PSF
RM 288,000
Level 17
861 sqft · RM 334 PSF
1,050 sqft
Condo
RM 380,000
Level 6
1,033 sqft · RM 368 PSF
Legend Recent Highest Price Highest PSF
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Market Snapshot

Residential

RM 322,500

RM 367 psf

Median transaction price

Menara Bakti - Sek.14 Petaling Jaya
© OpenStreetMap · CARTO

Menara Bakti Condominium, Jalan 14/17, Seksyen 14, 46100 Petaling Jaya, Selangor, Malaysia

Maps

Menara Bakti Condominium in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 323K and a median price per square foot (PSF) of RM 368.

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 323K, with most transactions falling within a stable range of RM 292K to RM 354K, and a typical market range of RM 289K to RM 356K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 368, with most transactions between RM 348 and RM 388. The usual range is RM 348.24 to RM 387.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 39.00 and an average deviation (MAD) of RM 20 indicate a highly stable PSF trend across properties.

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.