Albury @ Mahkota Hills

49, Jalan Tasik Senangin 9/10, 71750 Mantin, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size · Terrace →

Median
RM 374,000
PSF
RM 267
Price Size
1,400 sqft
Terrace
RM 358,000
Jalan Tasik Senangin 16/11
1,399 sqft · RM 256 PSF
RM 390,000
Jalan Tasik Senangin 16/11
1,399 sqft · RM 279 PSF
RM 400,000
Jalan Senangin 15/13
1,399 sqft · RM 286 PSF
RM 350,000
Jalan Tasik Senangin 16/11
1,399 sqft · RM 250 PSF
Legend Recent Highest Price Highest PSF

Posts about Albury @ Mahkota Hills

What’s happening in Albury @ Mahkota Hills?

No posts about Albury @ Mahkota Hills yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 374,000

RM 267 psf

Median transaction price

Albury @ Mahkota Hills
© OpenStreetMap · CARTO

49, Jalan Tasik Senangin 9/10, 71750 Mantin, Negeri Sembilan, Malaysia

Maps

Albury @ Mahkota Hills in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2022, with a median price of RM 374K and a median price per square foot (PSF) of RM 267.

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 374K, with most transactions falling within a stable range of RM 353K to RM 395K, and a typical market range of RM 350K to RM 399K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 267, with most transactions between RM 252 and RM 282. The usual range is RM 250.89 to RM 283.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.75 and an average deviation (MAD) of RM 15 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.