Taman Pelangi

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

Property Transactions

4 subsales grouped by size

Median
RM1,187,500
PSF
RM170
Price Size
Period
transactions middle 50% (P25–P75)
4,800 sqft
Bungalow
RM900,000
Jalan 10/28
4,822 sqft · RM187 PSF
5,050 sqft
Bungalow
RM1,150,000
Jalan Taman Pelangi
5,070 sqft · RM227 PSF
8,200 sqft
Bungalow
RM1,250,000
Jalan 5/28
8,191 sqft · RM153 PSF
RM1,225,000
Jalan 5/28
8,191 sqft · RM150 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM1,187,500

RM170 psf

Median transaction price

RM1,920,000

RM1,265 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 RM1.19 million and a median price per square foot (PSF) of RM170.

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 RM1.19 million, with most transactions falling within a stable range of RM1.05 million to RM1.25 million, and a typical market range of RM973K to RM1.25 million.

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

The median PSF stands at RM170, with core pricing between RM138 and RM201. Market pricing typically extends from RM0.00 to RM443.87, reflecting moderate variation in unit pricing. The spread of RM548.50 (IQR) and deviation of RM31 (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.