Taman Sejati

52, Jln Sejati 3, Kampung Ijok, 45600 Bestari Jaya, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM457,500
PSF
RM250
Price Size
Period
transactions middle 50% (P25–P75)
1,850 sqft
2-Sty Terrace
RM470,000
Jalan Sejati 9A
1,830 sqft · RM257 PSF
RM445,000
Jalan Sejati 11
1,830 sqft · RM243 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sejati? Homes here sold for a median of RM457,500.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Taman Sejati

What’s happening in Taman Sejati?

No posts about Taman Sejati yet. Be the first to share what’s happening here.

Taman Sejati (Pl 2702)
© OpenStreetMap · CARTO

Taman Sejati, 52, Jln Sejati 3, Kampung Ijok, 45600 Bestari Jaya, Selangor, Malaysia

Maps

Taman Sejati in Kuala Selangor, Selangor recorded 2 subsale transactions in 2021, with a median price of RM458K and a median price per square foot (PSF) of RM250.

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 RM458K, with most transactions falling within a stable range of RM445K to RM470K, and a typical market range of RM445K to RM470K.

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

For price per square foot, the median is RM250, with most transactions between RM243 and RM257. The usual range is RM235.90 to RM264.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM28.25 and an average deviation (MAD) of RM7 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.