Taman Putra (Ampang)

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

Property Transactions

12 subsales grouped by size

Median
RM 382,500
PSF
RM 359
Price Size
Period
transactions middle 50% (P25–P75)
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 395,000
Level 2
1,055 sqft · RM 374 PSF
RM 380,000
Level 1
1,033 sqft · RM 368 PSF
1,100 sqft
Condo
RM 338,000
Level 3
1,087 sqft · RM 311 PSF
1,250 sqft
Condo
RM 355,000
Level 2
1,249 sqft · RM 284 PSF
RM 400,000
Level 1
1,249 sqft · RM 320 PSF
RM 530,000
Level 5
1,249 sqft · RM 424 PSF
RM 410,000
Level 3
1,249 sqft · RM 328 PSF
RM 385,000
Level 1
1,249 sqft · RM 308 PSF
RM 450,000
Level 4
1,249 sqft · RM 360 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 382,500

RM 359 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 12 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 383K and a median price per square foot (PSF) of RM 359.

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

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

Within the Condo/Apartment category, low-cost house dominated the market, with minimal variety in property types.

The median PSF stands at RM 359, with core pricing between RM 318 and RM 400. Market pricing typically extends from RM 358.86 to RM 358.86, reflecting moderate variation in unit pricing. With an IQR of RM 0.00 and MAD of RM 41, 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.