Taman Putra (Ampang)
Taman Putra, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Taman Putra, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan 31/1
|
RM 425,000
|
RM 420
|
1,012 sqft
|
|
|
|
Jalan 29
|
RM 485,000
|
RM 479
|
1,012 sqft
|
|
|
|
Jalan 31/3
|
RM 415,000
|
RM 410
|
1,012 sqft
|
|
|
|
Jalan 29
|
RM 435,000
|
RM 430
|
1,012 sqft
|
|
|
|
Jalan 31
|
RM 480,000
|
RM 474
|
1,012 sqft
|
|
|
|
Jalan 31/1
|
RM 425,000
|
RM 420
|
1,012 sqft
|
|
|
Jalan 10/1
|
RM 525,000
|
RM 410
|
1,281 sqft
|
|
|
|
Jalan 8
|
RM 500,000
|
RM 390
|
1,281 sqft
|
|
|
|
Jalan 8
|
RM 580,000
|
RM 453
|
1,281 sqft
|
|
|
|
Jalan 8
|
RM 650,000
|
RM 507
|
1,281 sqft
|
|
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Market Snapshot
ResidentialRM 480,000
RM 633 psfMedian transaction price
Taman Putra, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Putra (Ampang) in Hulu Langat, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM 480K and a median price per square foot (PSF) of RM 474.
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 480K, with most transactions falling within a stable range of RM 453K to RM 508K, and a typical market range of RM 456K to RM 504K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM 474, with core pricing between RM 421 and RM 528. Market pricing typically extends from RM 413.15 to RM 535.65, reflecting moderate variation in unit pricing. With an IQR of RM 122.50 and MAD of RM 54, 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.