Tijani Bukit Tunku

Jalan Tijani, Bukit Tunku, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 4,100,000
PSF
RM 1,140
Price Size
3,600 sqft
Semi-D
RM 4,100,000
Jalan Tijani 3
3,595 sqft · RM 1,140 PSF
3,700 sqft
Semi-D
RM 3,900,000
Jalan Tijani 3
3,692 sqft · RM 1,056 PSF
8,550 sqft
Bungalow
RM 14,500,000
Jalan Tijani 3
8,568 sqft · RM 1,692 PSF
Legend Recent Highest Price Highest PSF

Posts about Tijani Bukit Tunku

Market Snapshot

Residential

RM 4,100,000

RM 1,140 psf

Median transaction price

Tijani Bukit Tunku
© OpenStreetMap · CARTO

Jalan Tijani, Bukit Tunku, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Tijani Bukit Tunku in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2022, with a median price of RM 4.10 million and a median price per square foot (PSF) of RM 1,140.

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 4.10 million, with most transactions falling within a stable range of RM 3.90 million to RM 9.05 million, and a typical market range of RM 3.90 million to RM 9.20 million.

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

Price per square foot shows a median of RM 1,140, though individual units vary from RM 858 to RM 1,423 in the core range. The broader market spans RM 1,015.93 to RM 1,264.93, indicating diverse property characteristics. The spread of RM 249.00 (IQR) and deviation of RM 282 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.