| LIST.MY · Taman Bunga Kantan | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Bunga Kantan 1
|
RM1,500,000
|
RM526
|
2,852 sqft
|
|
2-Sty Shop |
| 2024 | |||||
|
Jalan Bunga Kantan 1
|
RM1,250,000
|
RM438
|
2,852 sqft
|
|
2-Sty Shop |
|
Jalan Bunga Kantan 1
|
RM1,250,000
|
RM438
|
2,852 sqft
|
|
2-Sty Shop |
New Launches in Selangor
View allPosts about Taman Bunga Kantan
No posts about Taman Bunga Kantan 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 Bunga Kantan
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
Jalan Bunga Kantan 1, 43000 Kajang, Selangor, Malaysia
MapsTaman Bunga Kantan in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM1.25 million and a median price per square foot (PSF) of RM438.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 2 - 2 1/2 storey shop, with minimal variety in property types.
For price per square foot, the median is RM438, with most transactions between RM438 and RM438. The usual range is RM396.47 to RM479.97, showing that most units are priced quite close to each other. With an IQR of RM83.50 and MAD of RM0, 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.