Taman Naga Emas

57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM590,000
1,550 sqft
RM381 PSF
RM863,000
1,550 sqft
RM557 PSF
RM760,000
1,550 sqft
RM490 PSF
RM550,000
1,550 sqft
RM355 PSF
RM570,000
1,550 sqft
RM368 PSF
RM735,000
1,550 sqft
RM474 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Naga Emas

What’s happening in Taman Naga Emas?

No posts about Taman Naga Emas yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM160,000

RM250 psf

Median transaction price

Loading map...

Taman Naga Emas, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Naga Emas in Kuala Lumpur, Kuala Lumpur recorded 17 subsale transactions between 2021 and 2026, with a median price of RM160K and a median price per square foot (PSF) of RM255.

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 RM160K, with most transactions falling within a stable range of RM120K to RM200K, and a typical market range of RM100K to RM373K.

Most transactions involved low-cost flat, with moderate diversity in property types available.

The median PSF stands at RM255, with core pricing between RM222 and RM288. Market pricing typically extends from RM234.94 to RM275.94, reflecting moderate variation in unit pricing. With an IQR of RM41.00 and MAD of RM33, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.