Bukit Bandaraya Area F

Bukit Bandaraya, Bangsar, 59100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM4,520,000
PSF
RM727
Price Size
Period
transactions middle 50% (P25–P75)
5,500 sqft
Bungalow
RM4,050,000
Jalan Kemaris 2
5,522 sqft · RM733 PSF
6,900 sqft
Bungalow
RM4,990,000
Jalan Keruing
6,916 sqft · RM722 PSF
Legend Recent Highest Price Highest PSF

Posts about Bukit Bandaraya Area F

What’s happening in Bukit Bandaraya Area F?

No posts about Bukit Bandaraya Area F yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM4,520,000

RM727 psf

Median transaction price

Bukit Bandaraya Area F
© OpenStreetMap · CARTO

Bukit Bandaraya, Bangsar, 59100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bukit Bandaraya Area F in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2021, with a median price of RM4.52 million and a median price per square foot (PSF) of RM727.

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 RM4.52 million, with most transactions falling within a stable range of RM4.05 million to RM4.99 million, and a typical market range of RM4.05 million to RM4.99 million.

Most transactions involved detached, though some variety exists in the market.

For price per square foot, the median is RM727, with most transactions between RM722 and RM733. The usual range is RM608.49 to RM846.49, showing that most units are priced quite close to each other. With an IQR of RM238.00 and MAD of RM6, the PSF demonstrates reasonable consistency across the market.

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.