Taman Nadayu (Kajang)
Kampung Sungai Tangkas, Kajang, Selangor, Malaysia
Kampung Sungai Tangkas, Kajang, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nadayu 2
|
RM 1,500,000
|
RM 417
|
3,595 sqft
|
|
|
|
Jalan Nadayu 2
|
RM 1,239,000
|
RM 344
|
3,600 sqft
|
|
|
|
Jalan Nadayu 2
|
RM 1,400,000
|
RM 389
|
3,595 sqft
|
|
|
|
Jalan Nadayu 2
|
RM 1,500,000
|
RM 417
|
3,595 sqft
|
|
Posts about Taman Nadayu (Kajang)
No posts about Taman Nadayu (Kajang) yet. Be the first to share what’s happening here.
Other Areas in Pekan Kg Sungai Tangkas
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 1,450,000
RM 403 psfMedian transaction price
Kampung Sungai Tangkas, Kajang, Selangor, Malaysia
MapsTaman Nadayu (Kajang) in Hulu Langat, Selangor recorded 4 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 1.45 million and a median price per square foot (PSF) of RM 403.
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 1.45 million, with most transactions falling within a stable range of RM 1.34 million to RM 1.50 million, and a typical market range of RM 1.36 million to RM 1.50 million.
Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM 403, with most transactions between RM 373 and RM 433. The usual range is RM 362.07 to RM 444.57, showing that most units are priced quite close to each other. With an IQR of RM 82.50 and MAD of RM 30, 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.