HAIG 162

Singapore Property Price Appreciation & Rental Yield

HAIG 162 in District 15 has a 2 year price change of 12.4% vs District 15 average of 9.9%. The average rental yield is 3.35% and is higher than the district average of 3.01%.

The average psf price of $1977 is 0% lower than district 15 average of $1989.0.

The average rent Psf is $5.77 and is 17% higher than district 15 average of $4.93.

The distance to the nearest MRT station is 1107 meters vs the district average of 1181 meters, and the distance to the CBD (Marina Bay Sands) is 4.92 km vs the district average of 5.1 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
Haig 1621300-4001520.6921889.012.44.44%10.025607.311108.04.9Freehold
Haig 1622500-6001521.1752022.08.88882.96%1.029005.271108.04.9Freehold
Haig 1621500-6001521.1752022.08.88882.66%1.026004.731108.04.9Freehold
*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
The Clift1400-5000131.0042029.08.88885.12%8.042879.53330.01.699 yrs lease commencing from 2004
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
The Clift1500-6000171.0472021.06.34.79%25.041807.6330.01.699 yrs lease commencing from 2004
Rv Edge1400-5001010.8311979.08.88884.71%7.032647.25957.03.9Freehold
Rv Point1400-5000910.8552036.0-10.94.68%4.033377.42284.02.4999 yrs lease commencing from 1841
Alexis1300-4000310.7881980.07.04.55%9.029888.54386.06.0Freehold
Sims Urban Oasis1400-5001460.8341933.05.44.53%41.031507.0349.04.699 yrs lease commencing from 2014
The Poiz Residences1400-5001340.8291973.04.94.51%35.031166.93106.05.499 yrs lease commencing from 2014
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HAIG 162 Sales Transactions Last 4 Years

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Date
Floor Range
Area Sqft
Price psf
Price
#Units
2025-0106-1058120651.2m1
2024-0906-1036618990.695m1
2024-0906-1058119791.15m1
2024-0811-1536618800.688m1
2024-0611-1536619150.701m1
2024-0311-1535520000.71m1
2023-0911-1536618440.675m1
2023-0801-0536618250.668m1
2023-0606-1034419040.655m1
2023-0511-1535518990.674m1
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HAIG 162 Rental Transactions Last 4 Quarters

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Date
Area Sqft
No of Bedrooms
Rent
2025-01300-40012500
2025-01300-40012800
2025-01300-40012600
2025-01400-50012900
2024-12300-40012500
2024-12300-40012700
2024-12400-50013100
2024-12800-90023900
2024-11300-40012350
2024-11300-40012500
Showing 1 to 10 of 36 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.