Taman Pelangi

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 1,187,500
PSF
RM 170
Price Size
Period
transactions middle 50% (P25–P75)
4,800 sqft
Bungalow
RM 900,000
Jalan 10/28
4,822 sqft · RM 187 PSF
5,050 sqft
Bungalow
RM 1,150,000
Jalan Taman Pelangi
5,070 sqft · RM 227 PSF
8,200 sqft
Bungalow
RM 1,250,000
Jalan 5/28
8,191 sqft · RM 153 PSF
RM 1,225,000
Jalan 5/28
8,191 sqft · RM 150 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,187,500

RM 170 psf

Median transaction price

RM 1,920,000

RM 1,265 psf

Median transaction price

High

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Taman Pelangi
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Pelangi in Kuala Lumpur, Kuala Lumpur recorded 4 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.19 million and a median price per square foot (PSF) of RM 170.

This area contains both residential and commercial properties. View 6 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.19 million, with most transactions falling within a stable range of RM 1.05 million to RM 1.25 million, and a typical market range of RM 973K to RM 1.25 million.

Within the Bungalow category, detached dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 170, with core pricing between RM 138 and RM 201. Market pricing typically extends from RM 0.00 to RM 443.87, reflecting moderate variation in unit pricing. The spread of RM 548.50 (IQR) and deviation of RM 31 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.