Taman Pelangi

48000 Rawang, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 347,500
PSF
RM 282
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
LC House
RM 280,000
Jalan Pelangi 14
883 sqft · RM 317 PSF
RM 260,000
Jalan Pelangi 16
883 sqft · RM 295 PSF
RM 350,000
Jalan Pelangi 3
1,302 sqft · RM 269 PSF
RM 350,000
Jalan Pelangi 1
1,302 sqft · RM 269 PSF
RM 330,000
Jalan Pelangi 3
1,302 sqft · RM 253 PSF
RM 430,000
Jalan Pelangi 9
1,313 sqft · RM 327 PSF
RM 345,000
Jalan Pelangi 16
1,302 sqft · RM 265 PSF
1,500 sqft
2-Sty Terrace
RM 500,000
Jalan Pelangi 5
1,485 sqft · RM 337 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 347,500

RM 282 psf

Median transaction price

High

Rental Yield Data

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Taman Pelangi
© OpenStreetMap · CARTO

Taman Pelangi, 48000 Rawang, Selangor, Malaysia

Maps

Taman Pelangi in Gombak, Selangor recorded 8 subsale transactions in 2024, with a median price of RM 348K and a median price per square foot (PSF) of RM 282.

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 RM 348K, with most transactions falling within a stable range of RM 275K to RM 420K, and a typical market range of RM 270K to RM 425K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM 282, with core pricing between RM 252 and RM 312. Market pricing typically extends from RM 263.53 to RM 299.78, reflecting moderate variation in unit pricing. With an IQR of RM 36.25 and MAD of RM 30, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.