Taman Mawar

Prima Beruntung, 48300 Rawang, Selangor, Malaysia

Property Transactions

12 subsales grouped by size

Median
RM 407,500
PSF
RM 303
Price Size
1,300 sqft
2-Sty Terrace
RM 448,000
Jalan Mawar 2A
1,302 sqft · RM 344 PSF
RM 389,000
Jalan Mawar 2A
1,302 sqft · RM 299 PSF
RM 398,000
Jalan Mawar 2A
1,302 sqft · RM 306 PSF
RM 391,000
Jalan Mawar 2A
1,302 sqft · RM 300 PSF
RM 389,000
Jalan Mawar 2A
1,302 sqft · RM 299 PSF
RM 417,000
Jalan Mawar 2A
1,302 sqft · RM 320 PSF
+4 more
1,600 sqft
2-Sty Terrace
RM 391,000
Jalan Mawar 2A
1,604 sqft · RM 244 PSF
RM 417,000
Jalan Mawar 2A
1,604 sqft · RM 260 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 407,500

RM 303 psf

Median transaction price

Taman Mawar
© OpenStreetMap · CARTO

Taman Mawar, Prima Beruntung, 48300 Rawang, Selangor, Malaysia

Maps

Taman Mawar in Hulu Selangor, Selangor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 408K and a median price per square foot (PSF) of RM 303.

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 408K, with most transactions falling within a stable range of RM 389K to RM 429K, and a typical market range of RM 393K to RM 422K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 303, with most transactions between RM 274 and RM 332. The usual range is RM 291.40 to RM 314.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 23.00 and an average deviation (MAD) of RM 29 indicate a highly stable PSF trend across properties.

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.