Blue Boy Mansion

Lorong Pudu 4, Blue Boy Mansion, 6011-C, Jln Tong Shin, Bukit Bintang, 50200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

12 subsales grouped by size

Median
RM206,500
PSF
RM307
Period
transactions middle 50% (P25–P75)
650 sqft
Flat
RM255,000
Level 1
667 sqft · RM382 PSF
RM170,000
Level 6
667 sqft · RM255 PSF
RM208,000
Level 2
667 sqft · RM312 PSF
RM240,000
Level 1
667 sqft · RM360 PSF
RM205,000
Level 5
667 sqft · RM307 PSF
RM205,000
Level 6
667 sqft · RM307 PSF
+5 more
1,100 sqft
Flat
RM260,000
Level 5
1,087 sqft · RM239 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM206,500

RM307 psf

Median transaction price

Blue Boy Mansion
© OpenStreetMap · CARTO

Lorong Pudu 4, Blue Boy Mansion, 6011-C, Jln Tong Shin, Bukit Bintang, 50200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Blue Boy Mansion in Kuala Lumpur, Kuala Lumpur recorded 12 subsale transactions between 2021 and 2026, with a median price of RM207K and a median price per square foot (PSF) of RM307.

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 RM207K, with most transactions falling within a stable range of RM203K to RM211K, and a typical market range of RM197K to RM216K.

Most transactions involved flats, with minimal variety in property types.

For price per square foot, the median is RM307, with most transactions between RM301 and RM313. The usual range is RM301.93 to RM312.43, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.50 and an average deviation (MAD) of RM6 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.