Apartment Tropika, Bandar Bukit Tinggi

Jalan Batu Nilam 13, Bandar Bukit Tinggi 1, 42000 Pelabuhan Klang, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

1 subsales grouped by size

Median
RM198,000
PSF
RM233

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Flat
RM198,000
Level 4
850 sqft · RM233 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Apartment Tropika, Bandar Bukit Tinggi

What’s happening in Apartment Tropika, Bandar Bukit Tinggi?

No posts about Apartment Tropika, Bandar Bukit Tinggi yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM198,000

RM233 psf

Median transaction price

Apartment Tropika, Bandar Bukit Tinggi
© OpenStreetMap · CARTO

Jalan Batu Nilam 13, Bandar Bukit Tinggi 1, 42000 Pelabuhan Klang, Selangor, Malaysia

Maps

Apartment Tropika, Bandar Bukit Tinggi in Klang, Selangor recorded 1 Flat properties subsale transactions between 2021 and 2026, with a median price of RM198K and a median price per square foot (PSF) of RM233.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Within the Flat category, condominium/apartment dominated the market, with minimal variety in property types.

For price per square foot, the median is RM233, with most transactions between RM233 and RM233. The usual range is RM188.34 to RM277.59, showing that most units are priced quite close to each other. With an IQR of RM89.25 and MAD of RM0, the PSF demonstrates reasonable consistency across the market.

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.