I saved every page from HDB InfoWEB > Application Rate in HTML format in my computer (since 2010 to present), also compiled an Excel table with a summary of application rate per BTO and SBF launch.
Detailed application rates per BTO and flat type are available in HTML pages, a fan of my website have copied them in Excel but the table is a bit messy because number of columns vary from between BTO launches, if anyone else have better ideas to compile them in Excel, message me!
Watch video to see what do you get!
Don’t forget to check other databases made by me (100+ databases).
Video preview
Sources
Until October 2015 site redesign, the application rate for past BTO far back as Aug 2010 was still accessible via direct links (http://services2.hdb.gov.sg/webapp/BP13BTOENQWeb/BP13J011BTOAug10.jsp) although no longer visible in the Application Status page.
2015-2021 link was https://www.hdb.gov.sg/residential/buying-a-flat/new/buying-process/manage-my-application/application-status
Since 2022 link is https://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/buying-procedure-for-new-flats/application?anchor=application-status
An application rate 3.00 means that number of applications exceed 3 times flat supply, theoretically 1 of 3 people will be invited to select a flat. An application rate 1.00 does not always mean that everyone got a flat, because some flat types gets oversubscribed while others undersubscribed.
For example, the May 2013 BTO set a new record of low applicant rate: 1.07 overall, this does not mean that everyone got a home. The 4-room units got 4.3 in Hougang BTO while in Sembawang BTO the rate was 0.4 (60% flats remained unsold). Stupid idea to launch BTO in such bad location in the same time with SBF, obviously people went in SBF for better located flats.
In May 2015 for the first time HDB announced the launch date 1 week before the actual launch, the application rate being unusual high even after one day of sales, proving that HDB is still undersupply. Surprisingly, first time BTO exceeded SBF application rate.
HDB stopped announcing launch date in advance (when?).
Since 2021 or 2022 HDB added these notes:
Applications include those who have applied in earlier sales launches, some of whom may be waiting to book a flat, which on average form about 20% of total applications. From past sales launches, about 40% of the invited flat applicants did not proceed to book a flat. Thus, most applicants will be able to select a flat if the application rate of the project is below 1.7.
More applicants are also shortlisted than the available flat supply at each sales launch, i.e. we shortlist beyond 100%, and up to 300%, of total flat supply. These shortlisted applicants will also be given a queue number, and may have a chance to secure a flat if applicants with smaller queue number drop out.
Hi,
May i request for the compiled Excel table with a summary of application rate for every BTO and SBF launch from 2010 to present, together with HTML pages.
Thank you
I may not have noticed your comment here, but you contacted me via live chat 2 minutes later and I changed price to $0
Hi,
May i request for the compiled Excel table with a summary of the application numbers for every BTO and SBF launch from 2007 to 2019, together with HTML pages for a school assignment?
Thank you! Really appreciate it!
Hey there Teoalida,
Could I request to have a copy of the full excel sheet please? Greatly appreciate your work. Thank you!
Hi,
May i request for the compiled Excel table with a summary of the application numbers for every BTO and SBF launch from 2007 to 2020?
Thank you!
Hi, I would like to request for the Excel table. Appreciate your work as the information is all scattered on HDB website and is difficult to get. Thanks.
Hi may I like to request the application rates? Cheers
To all people who request FREE data: before giving you for FREE make sure you see all databases available https://www.teoalida.com/category/database/, you sure don’t want to pay $ for a bigger more detailed database?
In September 2019 I put a couple of “products” at $1 instead of $0. Reason: to prevent people purchasing themselves just because is $0 and not because they need such data (I still give to FREE but you need to contact me if you are REALLY interested), my initial strategy was to offer a couple of small databases for free hoping that will encourage people to pay for BIG databases afterwards, but it turned to have opposite effect: people probably disappointed by small amount of data included in free databases, went away and never purchased any paid database afterwards, while the ones who purchased paid databases, they did this directly without testing with a free one first.
hi, can i understand application rate for SBF MAY 2021.
thanks 😊
Sorry Can I request a free dataset on hdb application rate because I need urgently for my schoolwork If you see this message Please Reply Thank you
You can find the application rates from Nov 2021 here
https://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/buying-procedure-for-new-flats/application?anchor=application-status
Thank you, this was the page I needed to continue updating my Excel.
The HDB application rate is a key indicator of demand in Singapore’s public housing market. It shows how many people are applying for available flats during a sales exercise. High application rates can signal strong demand, especially in mature estates with good amenities. Understanding these rates can help buyers set realistic expectations and plan better. Thanks for sharing this insightful blog!
Thanks its great and best application rate for the users for more ideas you can search here.
Joyable and Nice to see your Effort…Keep it Up!!
Happy to see your effort and Thanks!
Thank you; it’s fantastic and has the highest application rate for users. If you want more ideas, you can look here.
Such a fantastic! Keep Growing.
Hi may I like to request the application rates?
This is an impressive compilation of HDB application data over the years! The insights into application trends, demand fluctuations, and location preferences are particularly valuable for those looking to understand the housing market better. It’s interesting to see how application rates vary across different launches and how factors like location and concurrent SBF launches impact demand. Looking forward to exploring more of your databases! Official Website
Your dedication to tracking HDB application rates over the years is impressive, and having a compiled Excel table makes it easier to analyze trends across BTO and SBF launches. While column variations can make formatting tricky, using pivot tables or standardizing key data points could help streamline the compilation process.
That’s an impressive effort and a valuable archive you’ve built—having HDB application rates from 2010 to present provides great insight into long-term trends. Tracking BTO and SBF demand across the years can help applicants better plan their choices based on past patterns. For anyone serious about understanding HDB launches, this kind of data is gold. To make it even easier, consider using the HDOBox Premium App (Free) to explore updated insights and trends—think of it as a premium tool, offered at no cost.
Hi may i request for data from 2020 onwards pls? thank you so much for making this possible!
This is incredibly valuable — thank you for putting so much time into collecting and organizing all this HDB application data! Having historical trends all the way from 2010 is super helpful for anyone researching BTO demand patterns. Totally agree that converting the HTML data into clean Excel tables can be tricky, especially with layout changes between launches. Maybe Google Sheets with scripts or Power Query in Excel could help normalize the columns? Also, love how you’ve made parts of the data free — very generous!
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This article is such a goldmine for anyone tracking HDB balloting trends! I appreciate the clear explanation that an application rate of, say, 3.00 means three applicants per flat—and also why an application rate of 1.00 might still not guarantee a unit, depending on how oversubscribed specific flat types are. The insights about how projected shortlistings often exceed 100% of flat supply and that ‘below 1.7’ rates typically offer high chances at selection were particularly eye-opening. Your detailed breakdown turns a complex topic into something tangible and actionable—thank you for making housing data so accessible!
Back in September 2019, I decided to price a few “products” at $1 instead of $0. The idea was to prevent people from downloading them just because they were free, rather than because they actually needed the data. I still made them available for free, but only if someone genuinely interested contacted me. My original plan was to provide small sample databases for free, null’s brawl apk hoping this would encourage customers to later buy the larger, paid ones. However, the outcome was the opposite—many users were likely disappointed by the limited data in the free versions and never returned to purchase the paid databases. On the other hand, those who did buy paid databases usually went straight to purchasing without testing the free samples first.
This article is an incredible resource for anyone following HDB balloting patterns! I really value the clear explanation that an application rate of 3.00 means three applicants competing for each flat—and that even a rate of 1.00 doesn’t always guarantee success if certain flat types are oversubscribed. apk mod hill climb racing The point about shortlistings often exceeding 100% of the available supply, and that rates under 1.7 usually provide strong chances of selection, was especially enlightening. Your thorough breakdown makes a complicated subject feel practical and easy to understand—thank you for presenting housing data in such an accessible way!
This is hugely valuable — thank you for investing so much effort in gathering and structuring all this HDB application data! Having historical trends going back to 2010 is incredibly useful for anyone studying BTO demand. jennys mod bedrock I completely agree that turning the raw HTML into neat Excel tables can be challenging, especially with the layout shifting between launches. Perhaps Google Sheets with scripts or Excel’s Power Query could help standardize the columns? Also, I really appreciate that you’ve made parts of the data free — that’s very generous!
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While learning about the application rate, your blog helped me a lot.
This is a fantastic collection of HDB application data over the years! The breakdown of trends, demand shifts, and location choices offers great value for understanding the housing market. It’s fascinating to observe how application rates differ between launches and how elements like location or overlapping SBF exercises affect demand. Excited to dive deeper into more of your databases!
so creative tool.
This is an excellent compilation of HDB application data across the years! The detailed breakdown of trends, demand shifts, and location preferences provides valuable insights into the housing market. It’s especially interesting to see how application rates vary between launches, and how factors such as location or overlapping SBF exercises influence demand. I’m excited to explore more of your databases in greater depth!