BOULEVARD 88

Singapore Property Price Appreciation & Rental Yield

BOULEVARD 88 in District 10 has a 2 year price change of -4.9% vs District 10 average of 4.8%. The average rental yield is 2.49% and is lower than the district average of 2.77%.

The average psf price of $3823 is 66% higher than district 10 average of $2297.0.

The average rent Psf is $7.7 and is 45% higher than district 10 average of $5.28.

The distance to the nearest MRT station is 503 meters vs the district average of 616 meters, and the distance to the CBD (Marina Bay Sands) is 4.39 km vs the district average of 6.0 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
Boulevard 88	2	1300-1400	10	2	5.02	3823.0	-4.9	2.49%	1.0	10400	7.7	503.0	4.4	Freehold

*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
Midtown Modern	n.a.	400-500	07	3	1.529	3738.0	-8.0	3.2%*	0.0	4072	9.96	266.0	1.7	99 yrs lease commencing from 2019
Cuscaden Reserve	n.a.	>3000	10	1	14.1	3753.0	8.8888	2.52%*	0.0	29580	7.87	195.0	4.5	99 yrs lease commencing from 2018
Eden Park	n.a.	3000-3500	10	1	12.1	3751.0	71.0	0.89%	1.0	9000	2.77	535.0	9.3	Freehold

Go to our Homepage to compare all residential properties in Singapore with multiple filter criteria and also see their relative 5 year price changes!

BOULEVARD 88 Sales Transactions Last 4 Years

Date	Floor Range	Area Sqft	Price psf	Price	#Units
2024-11	16-20	1313	3942	5.1765m	1
2024-11	06-10	1313	3704	4.8633m	1
2024-06	26-30	1313	4113	5.4m	1
2024-05	16-20	1313	3962	5.2026m	1
2023-11	06-10	1776	3716	6.6m	1
2023-10	11-15	1776	3660	6.5m	1
2023-09	06-10	1313	3764	4.9416m	1
2023-08	11-15	1313	4011	5.266m	1
2023-06	01-05	1313	3644	4.785m	1
2023-04	06-10	1313	3744	4.9155m	1
2023-04	16-20	2799	5002	14.0m	1
2023-03	01-05	1313	3664	4.8111m	1
2023-01	11-15	1313	3883	5.0982m	1
2022-12	21-25	1313	4022	5.2809m	1
2022-12	21-25	2799	4923	13.78m	1
2022-11	21-25	1313	4042	5.307m	1
2022-08	26-30	1313	4121	5.4114m	1
2022-08	21-25	1313	4082	5.3592m	1
2022-08	16-20	1313	3982	5.2287m	1
2022-06	11-15	1313	3774	4.9555m	1
2022-05	26-30	2766	4837	13.378m	1
2022-04	01-05	1776	3610	6.4119m	1
2022-02	01-05	1776	3630	6.4467m	1
2022-01	06-10	2777	4501	12.5m	1
2021-11	21-25	1776	4002	7.1079m	1
2021-10	01-05	1313	3684	4.8372m	1
2021-10	01-05	1776	3591	6.3771m	1
2021-10	21-25	1776	4022	7.1427m	1
2021-10	11-15	1776	3787	6.7251m	1
2021-09	16-20	1313	3962	5.2026m	1
2021-09	11-15	1776	3806	6.7599m	1
2021-09	01-05	1776	3591	6.3771m	1
2021-07	16-20	1313	3832	5.032m	1
2021-07	16-20	1776	3776	6.7065m	1
2021-07	11-15	1776	3738	6.6385m	1
2021-07	06-10	1776	3623	6.4345m	1
2021-05	16-20	1776	3814	6.7745m	1
2021-05	11-15	1776	3594	6.3827m	1
2021-05	11-15	1776	3575	6.3495m	1
2021-04	16-20	1776	3624	6.437m	1
2021-04	11-15	1776	3588	6.3714m	1
2021-04	21-25	1776	3762	6.6815m	1
2021-03	21-25	1776	3762	6.6815m	1
2021-02	21-25	1776	3735	6.6338m	1
2021-01	16-20	1776	3709	6.5868m	1
2020-12	16-20	1776	3674	6.525m	1
2020-11	21-25	1776	3754	6.6669m	1
2020-11	01-05	2756	3683	10.15m	1
2020-11	01-05	2777	3684	10.23m	1
2020-10	01-05	2777	3733	10.366m	1
2020-09	16-20	1776	3653	6.4881m	1
2020-08	26-30	1776	3763	6.6825m	1
2020-07	06-10	1776	3398	6.0345m	1
2020-07	16-20	1776	3580	6.3585m	1
2020-06	11-15	1776	3562	6.3261m	1
2020-06	01-05	2766	3681	10.1808m	1
2020-04	06-10	2766	3711	10.2648m	1
2020-04	06-10	2777	3715	10.3152m	1

BOULEVARD 88 Rental Transactions Last 4 Quarters

Date	Area Sqft	No of Bedrooms	Rent
2025-01	1300-1400	2	10200
2025-01	1700-1800	3	17000
2025-01	2700-2800	4	23000
2024-12	1700-1800	3	14500
2024-12	2700-2800	4	24000
2024-11	1300-1400	2	10400
2024-10	1700-1800	3	15000
2024-10	1700-1800	3	13500
2024-09	1700-1800	3	16400
2024-09	2700-2800	4	35000
2024-08	2700-2800	4	35000
2024-08	2700-2800	4	25000
2024-08	2700-2800	4	28000
2024-08	2700-2800	4	24500
2024-07	1700-1800	3	17000
2024-07	1700-1800	3	15000
2024-07	2700-2800	4	28000
2024-07	2700-2800	4	23000
2024-06	2700-2800	4	25000
2024-06	2700-2800	4	26500
2024-06	>3000	4	50000
2024-05	1300-1400	2	10600
2024-05	1700-1800	3	13000
2024-04	1700-1800	3	16000
2024-04	1700-1800	3	15500
2024-04	1700-1800	3	15200
2024-04	2700-2800	4	25000
2024-04	2700-2800	4	21000

*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.