Bandar Baru Seberang Jelai

Pahang, Lipis, Bandar Kuala Lipis

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,900 sqft
2-Sty Terrace
RM470,000
Lorong Bbkl 2/6/7
1,884 sqft · RM250 PSF
2,650 sqft
2-Sty Shop
RM650,000
Lorong Bbkl 2/2/1
2,648 sqft · RM245 PSF
6,650 sqft
Bungalow
RM535,000
Lorong Bbkl 2/5/5
6,652 sqft · RM80 PSF
6,750 sqft
Bungalow
RM787,000
Lorong Bbkl 2/5/2
6,771 sqft · RM116 PSF
7,100 sqft
Bungalow
RM780,000
Lorong Bbkl 2/5/2
7,093 sqft · RM110 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Baru Seberang Jelai? Homes here sold for a median of RM650,000.

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Market Snapshot

RM657,500

RM113 psf

Median transaction price

RM650,000

RM245 psf

Median transaction price

Bandar Baru Seberang Jelai in Lipis, Pahang recorded 5 subsale transactions in 2022, with a median price of RM650K and a median price per square foot (PSF) of RM116.

This area contains both residential and commercial properties. View 15 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM523K to RM777K, and a typical market range of RM541K to RM759K.

Most transactions involved detached, with high diversity across multiple property types.

Price per square foot shows a median of RM116, though individual units vary from RM44 to RM188 in the core range. The broader market spans RM0.00 to RM315.99, indicating diverse property characteristics. A wider spread (IQR: RM399.50) and deviation (MAD: RM72) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.