NEEM TREE

Singapore Property Price Appreciation & Rental Yield

NEEM TREE in District 12 has a 2 year price change of 3.0% vs District 12 average of 7.7%. The average rental yield is 4.22% and is higher than the district average of 3.43%.

The average psf price of $1962 is 16% higher than district 12 average of $1679.0.

The average rent Psf is $6.44 and is 35% higher than district 12 average of $4.76.

The distance to the nearest MRT station is 737 meters vs the district average of 643 meters, and the distance to the CBD (Marina Bay Sands) is 4.96 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
Neem Tree1400-5001220.8241962.03.04.22%4.029006.44737.05.0Freehold
*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
Parc Imperialn.a.300-4000530.7221916.01.95.04%9.030338.67186.08.6Freehold
Suites @ Guillemard1300-4001510.6351966.08.88884.91%2.026007.43526.04.7Freehold
Rv Edge2400-5001010.8311979.08.88884.91%3.034007.56957.03.9Freehold
Altez1600-7000211.21990.08.88884.8%2.048007.38266.02.199 yrs lease commencing from 2008
Rv Edge1400-5001010.8311979.08.88884.71%7.032647.25957.03.9Freehold
Skysuites171300-4001210.681915.00.74.69%6.026587.6888.08.88Freehold
The Ebony1300-4001410.641916.08.88884.64%4.024757.07502.06.7Freehold
Sims Edge1400-5001410.781907.07.44.64%7.030146.7493.04.7Freehold
Tre Residences1400-5001410.81905.06.74.56%7.030426.76214.04.699 yrs lease commencing from 2014
Alexis1300-4000310.7881980.07.04.55%9.029888.54386.06.0Freehold
Showing 1 to 10 of 263 rows
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NEEM TREE Sales Transactions Last 4 Years

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Date
Floor Range
Area Sqft
Price psf
Price
#Units
2025-0306-1081816631.36m1
2025-0211-1562417631.1m1
2024-1111-1542019500.818888m1
2024-1111-1562418751.17m1
2024-0816-2042019740.828888m1
2024-0711-1550618560.938888m1
2024-0601-0550617350.878m1
2024-0406-1042019520.82m1
2024-0406-1050617290.875m1
2023-1201-0571017611.25m1
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NEEM TREE Rental Transactions Last 4 Quarters

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Date
Area Sqft
No of Bedrooms
Rent
2025-01400-50013100
2025-01400-50013000
2025-01400-50013000
2025-01500-60012700
2024-12400-50012800
2024-12400-50012900
2024-12700-80023900
2024-12800-90034800
2024-11400-50013000
2024-11500-60013200
Showing 1 to 10 of 24 rows
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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.