SKYSUITES17

Singapore Property Price Appreciation & Rental Yield

SKYSUITES17 in District 12 has a 2 year price change of -0.1% vs District 12 average of 7.7%. The average rental yield is 4.24% and is higher than the district average of 3.43%.

The average psf price of $1827 is 8% higher than district 12 average of $1679.0.

The average rent Psf is $6.58 and is 38% higher than district 12 average of $4.76.

The distance to the nearest MRT station is - meters vs the district average of 643 meters, and the distance to the CBD (Marina Bay Sands) is - km vs the district average of 4.9 km.

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Summary of Rental Yield, Last 3 Mths Rental and Last 6 Mths Sales


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Project Name
#BedRm
Area Sqft
District
#Sold
Avg
Price(m)
Avg
$Psf
2YrPrice
Change(%)
Rental
Yield
#Rented
Avg Rent
Avg
$Psf pm
MRT
distance(m)
CBD
distance(km)
Tenure Commencement
Skysuites171300-4001210.681915.00.74.69%6.026587.6888.08.88Freehold
Skysuites172600-7001231.1411740.0-0.83.8%7.036115.56888.08.88Freehold
*Note: Data from Singapore URA API feed is processed every 2 weeks to give this comprehensive view. Rental yield % based on (Last 3 months average rent) *12 / (Last 6 months average selling price), breakdown by Project and Number of bedrooms. Rents for uncompleted projects or completed projects with no rental transactions (last 3 mths) are predicted using Machine Learning algorithms and marked with an *asterisk* in the rental yield column. Projects with rental transactions (last 3 mths) but no sale transactions (last 6 mths) are excluded. Distance to MRT/CBD is unavailable for some projets and marked with 888 or 8.88. 2 Yr Price Change is comparing latest 6 mths average price vs the average price in the 6 Mths period btw 2 Yrs and 2Yrs 6Mths ago (can be different units but same Sqft range). 8.8888 is for cases where there is no transaction 2 Yrs ago.


Comparable Projects with Similar $psf


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Project Name
#BedRm
Area Sqft
District
#Sold
Avg
Price(m)
Avg
$Psf
2YrPrice
Change(%)
Rental
Yield
#Rented
Avg Rent
Avg
$Psf pm
MRT
distance(m)
CBD
distance(km)
Tenure Commencement
Altez2800-9000211.531777.08.88885.49%1.070008.24266.02.199 yrs lease commencing from 2008
Lake Grande1400-5002230.8471876.07.54.98%11.035137.81430.016.699 yrs lease commencing from 2015
Whistler Grand1400-5000540.8291879.01.14.93%13.034037.561367.012.699 yrs lease commencing from 2018
Parc Imperial1400-5000520.821817.0-0.54.83%2.033007.33186.08.6Freehold
Icon @ Pasir Panjang2400-5000510.831836.08.88884.77%1.033007.33500.08.4Freehold
Sycamore Tree1400-5001530.8171839.08.88884.75%3.032337.191352.05.4Freehold
Soho 1881400-5000810.771787.00.04.72%7.030286.73271.03.2Freehold
Vibes @ East Coast1300-4001520.6931865.08.88884.66%7.026927.691285.06.4Freehold
Rezi 242500-6001410.981785.08.88884.65%2.038006.91543.04.0Freehold
Icon1600-7000211.21826.01.74.56%14.045577.01206.02.099 yrs lease commencing from 2002
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Go to our Homepage to compare all residential properties in Singapore with multiple filter criteria and also see their relative 5 year price changes!


SKYSUITES17 Sales Transactions Last 4 Years

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Date
Floor Range
Area Sqft
Price psf
Price
#Units
2024-1106-1035519150.68m1
2024-1011-1567817231.168m1
2024-0911-1561418081.11m1
2024-0806-1067816891.145m1
2024-0711-1567817481.185m1
2024-0616-2035520280.72m1
2024-0606-1067817181.165m1
2024-0521-2536620080.735m1
2024-0411-1535519860.705m1
2024-0426-3061418731.15m1
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SKYSUITES17 Rental Transactions Last 4 Quarters

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Date
Area Sqft
No of Bedrooms
Rent
2025-011000-110034500
2025-01600-70023400
2025-01600-70024150
2024-12300-40012950
2024-11300-40012600
2024-11300-40012500
2024-11600-70023680
2024-11600-70023200
2024-101000-110034500
2024-10300-40012800
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*Notice: Contains information from {Private Residential Property} dataset accessed every 2 weeks from URA API data service which is made available under the terms of the Singapore Open Data Licence version 1.0 Disclaimers: The datasets are provided on an “as is” and “as available” basis. We make no representations or warranties in relation to the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality or fitness for any particular purpose of the datasets to the fullest extent permitted by the law. To the extent permitted by law, we shall not be liable to you or any third party whether in contract, tort (including negligence), restitution, breach of statutory duty or otherwise, for damage or loss of any kind arising directly or indirectly from your or any third party’s Use of, or inability to Use, the datasets or the Relevant Websites.