Menara Mbmr
1, Jln Syed Putra, 58000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
1, Jln Syed Putra, 58000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| LIST.MY · Menara Mbmr | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Level 11
|
RM1,060,000
|
RM947
|
1,119 sqft
|
|
Office |
|
Level 11
|
RM1,466,000
|
RM902
|
1,625 sqft
|
|
Office |
| 2022 | |||||
|
Level 12
|
RM1,000,000
|
RM929
|
1,076 sqft
|
|
Office |
|
Level 7
|
RM1,016,000
|
RM866
|
1,173 sqft
|
|
Office |
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Menara Mbmr
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kuala Lumpur Town Centre
Menara MBMR, 1, Jln Syed Putra, 58000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsMenara Mbmr in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM1.04 million and a median price per square foot (PSF) of RM929.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.04 million, with most transactions falling within a stable range of RM1.01 million to RM1.07 million, and a typical market range of RM1.00 million to RM1.11 million.
Most transactions involved office lot, with minimal variety in property types.
For price per square foot, the median is RM929, with most transactions between RM907 and RM952. The usual range is RM908.78 to RM949.28, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.50 and an average deviation (MAD) of RM23 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.