PropMedian transaction data
CITIZEN @ RISIDENSI NUSANTRA Transaction Price & PSF
CITIZEN @ RISIDENSI NUSANTRA · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through July 2025
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This focused market snapshot examines the residential segment for Serviced Apartment within the CITIZEN @ RISIDENSI NUSANTRA scheme in Kuala Lumpur. The purpose is to explain how to read the transaction data and interpret the scheme's benchmarks without claiming guaranteed outcomes or future price movements.
Market overview
Within the Kuala Lumpur scope, Serviced Apartment emerges as the leading property type within the CITIZEN scheme in this dataset. Activity is observed across the district and mukim outlined in the scope, and there is a noticeable spread in price levels within the dominant category, reflecting a mix of unit configurations and market positions. Readers should interpret benchmarks as context for comparing like with like, rather than as a guarantee of outcomes for any single property.
How to interpret this market
Readers can use transaction benchmarks as a general guide to gauge where a property sits within the market, while acknowledging that a specific unit may vary in value. For meaningful comparison, separate property categories should be evaluated against their own benchmarks rather than across different categories.
Explore the wider market
Compare this scheme with the relevant district and property-type market.
View market hub →Browse current listings
Compare asking prices with the transaction benchmark.
View matching listings →Frequently asked questions
What does the data tell me about the Serviced Apartment segment within this scheme?
The data indicate Serviced Apartment is the observed dominant category in the residential dataset for the CITIZEN scheme in Kuala Lumpur. Use benchmarks as a reference point rather than a guarantee for any single property.
How should I compare this category with others?
Always compare like with like. Benchmarks are category specific, so different property types should be evaluated separately to avoid misinterpretation.
What should I keep in mind about the data period and future movements?
The information reflects past transactions up to the latest year in the dataset and is not a forecast. Do not extrapolate this data as a prediction of future price movements.
Summary
In summary, use the transaction benchmarks as a cautious guide, compare property types separately, and focus on Serviced Apartment within the CITIZEN scheme in Kuala Lumpur when assessing market context for residential decisions.
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Methodology
Median transaction price for the selected market scope.
Floor PSF is the median of valid transaction-level floor PSF values using main floor area, not median price divided by median floor area.
Unavailable measurements are not estimated or inferred.
Floor PSF is displayed when there are at least 10 valid PSF observations and coverage is at least 25%.