Pangsapuri Sri Nervillia

Jalan Anggerik Nervillia 31/166, Kawasan Industri Kota Kemuning, 40460 Shah Alam, Selangor, Malaysia

Pangsapuri Sri Nervillia uses postcode 40460, shared with 60 other areas.

Property Transactions

16 subsales grouped by size

Median
RM157,500
PSF
RM244
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM160,000
Level 3
657 sqft · RM244 PSF
RM150,000
Level 4
657 sqft · RM228 PSF
RM200,000
Level 4
657 sqft · RM305 PSF
RM170,000
Level 2
657 sqft · RM259 PSF
RM170,000
Level 4
657 sqft · RM259 PSF
RM170,000
Level 1
657 sqft · RM259 PSF
+10 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM157,500

RM240 psf

Median transaction price

High

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Pangsapuri Sri Nervillia
© OpenStreetMap · CARTO

Jalan Anggerik Nervillia 31/166, Kawasan Industri Kota Kemuning, 40460 Shah Alam, Selangor, Malaysia

Maps

Pangsapuri Sri Nervillia in Klang, Selangor recorded 16 subsale transactions between 2021 and 2026, with a median price of RM158K and a median price per square foot (PSF) of RM244.

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 RM158K, with most transactions falling within a stable range of RM145K to RM170K, and a typical market range of RM144K to RM171K.

Most transactions involved low-cost flat, with minimal variety in property types.

For price per square foot, the median is RM244, with most transactions between RM225 and RM263. The usual range is RM223.68 to RM263.68, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.00 and an average deviation (MAD) of RM19 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.