Taman Tijani Ukay

Jalan Tijani 1/B, Tijani Ukay, 68000 Ampang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 2,425,000
PSF
RM 623
Price Size
Period
transactions middle 50% (P25–P75)
3,800 sqft
Bungalow
RM 2,300,000
Jalan Tijani 3
3,821 sqft · RM 602 PSF
3,850 sqft
Bungalow
RM 2,400,000
Jalan Tijani 2/A
3,832 sqft · RM 626 PSF
RM 2,100,000
Jalan Tijani 2/B
3,843 sqft · RM 546 PSF
RM 2,600,000
Jalan Tijani 3
3,843 sqft · RM 677 PSF
3,950 sqft
Bungalow
RM 2,450,000
Jalan Tijani 1/B
3,950 sqft · RM 620 PSF
4,650 sqft
Bungalow
RM 2,900,000
Jalan Tijani 2/B
4,628 sqft · RM 627 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 2,425,000

RM 623 psf

Median transaction price

Taman Tijani Ukay
© OpenStreetMap · CARTO

Jalan Tijani 1/B, Tijani Ukay, 68000 Ampang, Selangor, Malaysia

Maps

Taman Tijani Ukay in Gombak, Selangor recorded 6 subsale transactions in 2022, with a median price of RM 2.43 million and a median price per square foot (PSF) of RM 623.

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 2.43 million, with most transactions falling within a stable range of RM 2.18 million to RM 2.67 million, and a typical market range of RM 2.26 million to RM 2.59 million.

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

For price per square foot, the median is RM 623, with most transactions between RM 585 and RM 662. The usual range is RM 583.14 to RM 663.39, showing that most units are priced quite close to each other. With an IQR of RM 80.25 and MAD of RM 39, 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.