Sri Kenanga Apartment

Bandar Puchong Jaya, 47100 Puchong, Selangor, Malaysia

Sri Kenanga Apartment uses postcode 47100, shared with 226 other areas.

Property Transactions

7 subsales grouped by size

Median
RM335,000
PSF
RM350
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM420,000
Level 4
915 sqft · RM459 PSF
RM400,000
Level 4
915 sqft · RM437 PSF
RM300,000
Level 2
915 sqft · RM328 PSF
RM312,000
Level 2
915 sqft · RM341 PSF
RM280,000
Level 5
915 sqft · RM306 PSF
950 sqft
Condo
RM335,000
Level 1
958 sqft · RM350 PSF
1,000 sqft
Condo
RM360,000
Level 1
1,023 sqft · RM352 PSF
Legend Recent Highest Price Highest PSF

Selling in Sri Kenanga Apartment? Homes here sold for a median of RM335,000.

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Market Snapshot

Residential

RM335,000

RM350 psf

Median transaction price

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Sri Kenanga Apartment, Bandar Puchong Jaya, 47100 Puchong, Selangor, Malaysia

Maps

Sri Kenanga Apartment in Petaling, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM335K and a median price per square foot (PSF) of RM350.

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 RM335K, with most transactions falling within a stable range of RM300K to RM370K, and a typical market range of RM298K to RM372K.

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

For price per square foot, the median is RM350, with most transactions between RM328 and RM372. The usual range is RM319.69 to RM379.69, showing that most units are priced quite close to each other. With an IQR of RM60.00 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.