POETS VILLAS

Singapore Property Price Appreciation & Rental Yield

POETS VILLAS in District 26 has a 2 year price change of nan% vs District 26 average of 16.6%. The average rental yield is 4.03% and is higher than the district average of 2.67%.

The average psf price of $837 is 49% lower than district 26 average of $1670.0.

The average rent Psf is $2.81 and is 32% lower than district 26 average of $4.19.

The distance to the nearest MRT station is 903 meters vs the district average of 522 meters, and the distance to the CBD (Marina Bay Sands) is 11.42 km vs the district average of 11.7 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
Poets Villasn.a.3500-40002623.055837.08.88884.03%*0.0102632.81903.011.499 yrs lease commencing from 2010
*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
Seletar Park Residencen.a.1900-20002821.659833.08.88884.93%*0.068123.422692.011.499 yrs lease commencing from 2011
Skies Miltonian.a.2500-26002712.2859.08.88884.33%*0.079323.11663.015.099 yrs lease commencing from 2012
Northoaksn.a.2400-25002512.135859.08.88883.86%*0.068622.76734.018.999 yrs lease commencing from 1997
Kew Residencian.a.2000-25001611.84830.0-10.63.79%*0.058182.621006.010.599 yrs lease commencing from 1994
Saraca Villasn.a.3500-40002813.28862.08.88883.76%*0.0102842.71584.011.199 yrs lease commencing from 1997
Woodhavenn.a.3000-35002532.887860.0-1.53.69%*0.088682.64741.018.499 yrs lease commencing from 2011
Lakepoint Condominiumn.a.2200-23002211.85834.08.88883.68%4.056752.52627.017.299 yrs lease commencing from 1983
Villa Verden.a.3000-35002312.71860.0-2.93.65%*0.082472.62723.017.199 yrs lease commencing from 1997
Kew Gaten.a.2500-30001612.33823.08.88883.45%*0.067012.37693.010.799 yrs lease commencing from 1994
Horizon Gardensn.a.2500-30002032.53856.08.88883.35%5.070602.57722.010.899 yrs lease commencing from 1995
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POETS VILLAS Sales Transactions Last 4 Years

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Date
Floor Range
Area Sqft
Price psf
Price
#Units
2025-03-34778342.9m1
2024-11-36498523.11m1
2024-08-36498223.000888m1
2024-07-36498393.06m1
2022-09-32518652.813m1
2022-05-33587502.5185m1
2022-02-32406792.2m1
2021-11-34126772.31m1
2021-11-36496802.48m1
2021-11-42196072.56m1
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POETS VILLAS Rental Transactions Last 4 Quarters

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Date
Area Sqft
No of Bedrooms
Rent
No matching records found

*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.