| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Desa Air Hitam 4
|
RM389,000
|
RM299
|
1,302 sqft
|
|
LC House |
|
Jalan Desa Air Hitam 1
|
RM303,000
|
RM233
|
1,302 sqft
|
|
LC House |
|
Jalan Desa Air Hitam 6
|
RM380,000
|
RM292
|
1,302 sqft
|
|
LC House |
|
Jalan Dah 9
|
RM250,000
|
RM192
|
1,302 sqft
|
|
LC House |
|
Jalan Dah 15
|
RM305,000
|
RM234
|
1,302 sqft
|
|
LC House |
|
Jalan Dah 3
|
RM260,000
|
RM200
|
1,302 sqft
|
|
LC House |
Selling in Taman Desa Air Hitam? Homes here sold for a median of RM310,000.
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Taman Desa Air Hitam
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 Dengkil
Market Snapshot
ResidentialRM310,000
RM238 psfMedian transaction price
28, Jalan Dah 16, Taman Desa Ayer Hitam, 47100 Puchong, Selangor, Malaysia
MapsTaman Desa Air Hitam in Sepang, Selangor recorded 15 subsale transactions between 2021 and 2026, with a median price of RM310K and a median price per square foot (PSF) of RM238.
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 RM310K, with most transactions falling within a stable range of RM300K to RM320K, and a typical market range of RM290K to RM330K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM238, with most transactions between RM230 and RM246. The usual range is RM222.52 to RM253.52, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.00 and an average deviation (MAD) of RM8 indicate a highly stable PSF trend across properties.
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.