Taman Putra (Ampang)

Taman Putra, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

16 subsales grouped by size

Median
RM 387,500
PSF
RM 440
Price Size
700 sqft
LC House
RM 400,000
Jalan 25
700 sqft · RM 571 PSF
RM 420,000
Jalan 25
700 sqft · RM 600 PSF
RM 375,000
Jalan 19
700 sqft · RM 536 PSF
RM 310,000
Jalan 26
700 sqft · RM 443 PSF
RM 430,000
Jalan 15
700 sqft · RM 614 PSF
RM 400,000
Jalan 12
700 sqft · RM 571 PSF
RM 340,000
Jalan 17
700 sqft · RM 486 PSF
RM 390,000
Jalan 16
700 sqft · RM 557 PSF
850 sqft
Condo
RM 300,000
Level 5
840 sqft · RM 357 PSF
RM 310,000
Level 4
840 sqft · RM 369 PSF
RM 350,000
Level 1
840 sqft · RM 417 PSF
1,050 sqft
Condo
RM 380,000
Level 1
1,033 sqft · RM 368 PSF
1,250 sqft
Condo
RM 385,000
Level 1
1,249 sqft · RM 308 PSF
RM 450,000
Level 4
1,249 sqft · RM 360 PSF
16
transactions

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Market Snapshot

Residential

RM 387,500

RM 440 psf

Median transaction price

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Taman Putra, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Putra (Ampang) in Hulu Langat, Selangor recorded 16 subsale transactions in 2022, with a median price of RM 388K and a median price per square foot (PSF) of RM 440.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM 440, though individual units vary from RM 343 to RM 538 in the core range. The broader market spans RM 440.47 to RM 440.47, indicating diverse property characteristics. The spread of RM 0.00 (IQR) and deviation of RM 98 (MAD) suggest moderate price variations reflecting different property features.

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.