Panorama Lapangan Saujana (Green Park)

Perak, Kinta, Ulu Kinta

Property Transactions

8 subsales grouped by size · Cluster →

Median
RM 554,000
PSF
RM 216
Price Size
Period
transactions middle 50% (P25–P75)
2,250 sqft
Cluster
RM 539,000
Jalan Lapangan Saujana 2
2,239 sqft · RM 241 PSF
RM 559,000
Jalan Lapangan Saujana 3
2,239 sqft · RM 250 PSF
RM 575,000
Jalan Lapangan Saujana 3
2,239 sqft · RM 257 PSF
RM 386,000
Panorama Lapangan Saujana
2,239 sqft · RM 172 PSF
RM 549,000
Jalan Lapangan Saujana 3
2,239 sqft · RM 245 PSF
RM 386,000
Jalan Lapangan Saujana
2,239 sqft · RM 172 PSF
3,400 sqft
Cluster
RM 650,000
Jalan Lapangan Saujana 3
3,391 sqft · RM 192 PSF
3,900 sqft
Cluster
RM 621,000
Jalan Lapangan Saujana 3
3,897 sqft · RM 159 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 554,000

RM 216 psf

Median transaction price

Panorama Lapangan Saujana (Green Park) in Kinta, Perak recorded 8 subsale transactions in 2021, with a median price of RM 554K and a median price per square foot (PSF) of RM 216.

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 554K, with most transactions falling within a stable range of RM 462K to RM 646K, and a typical market range of RM 484K to RM 624K.

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

The median PSF stands at RM 216, with core pricing between RM 178 and RM 254. Market pricing typically extends from RM 172.22 to RM 260.22, reflecting moderate variation in unit pricing. The spread of RM 88.00 (IQR) and deviation of RM 38 (MAD) suggest moderate price variations reflecting different property features.

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.