| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bukit Ros 3
|
RM1,100,000
|
RM306
|
3,595 sqft
|
|
|
Jalan Br 2
|
RM2,500,000
|
RM390
|
6,415 sqft
|
|
New Launches in Selangor
View allPosts about Taman Bukit Ros
No posts about Taman Bukit Ros yet. Be the first to share what’s happening here.
Nearby areas in Bandar Kajang
Taman Kajang Utama
Taman Bkt Mewah
Saujana Impian
Taman Prima Saujana
Mkh Boulevard Jalan Bukit
Taman Kantan Permai
Sek 5 Bandar Baru Bangi
Taman Damai Mewah
Taman Jasmin
Taman Kajang Perdana
Taman Bkt Kenangan
Taman Bkt Mutiara
Taman Bukit Ros
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kajang
Taman Bukit Ros, 43000 Kajang, Selangor, Malaysia
MapsTaman Bukit Ros in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM1.80 million and a median price per square foot (PSF) of RM390.
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 RM1.80 million, with most transactions falling within a stable range of RM1.10 million to RM2.50 million, and a typical market range of RM1.45 million to RM2.15 million.
Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.
The median PSF stands at RM390, with core pricing between RM348 and RM432. Market pricing typically extends from RM368.69 to RM410.69, reflecting moderate variation in unit pricing. With an IQR of RM42.00 and MAD of RM42, 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.