Database of all buildings in Singapore

The database contains EVERY searchable item in Singapore map, including HDB blocks, condominiums, landed houses, commercial, office and industrial buildings, schools, places of worship, gas stations, parks, MRT stations, and few more. Data included is building name, address, street name, postal code, latitude and longitude, X and Y coordinates of, etc.

Download SAMPLE:

Buy FULL database + FREE updates for 1 year:

Buy & download

Contact me for partial purchases (specific postal districts if you don’t need whole Singapore)

Use below map to prove level of completeness

Terms of use according
You can use, access, download, copy, distribute, transmit, modify and adapt the datasets, or any derived analyses or applications, whether commercially or non-commercially.

However, because took some time to code scraper and several days of running computer 24/7 to get all data, you are not allowed to distribute or resell my database. You are allowed to use it in your company. If a friend or another company wants to use same data, tell them to buy from me.


The database is raw data scraping from and the map’s raw data does NOT indicated building type. Several people asked me for building type so I am planning to add building type column myself checking manually the map to identify building types. This job will take few dozens hours and once completed I will sell database at double price. But before investing any more effort in this database I need to secure future updates.

One of my customers who bought HDB Database and Condo Database in August 2017, made a scraping software to get buildings information from and gave me the CSV data dump (141099 buildings) as “work exchange”, with permission to resell on my website. He did not gave me the scraper, but only data, gave me an update in January 2018 (120508 buildings), I suspected that he missed lots of postal codes, I emailed him to run scraper again, I emailed a week later and he replied that did not had time to run again, and after this he never replied me anymore.

I am looking for someone else who can scrap data from and give me the scraper so I can update database myself in the future.

Update November 2018: an Indian helped me updating Python scraper to work with current version of OneMap, but the script don’t work at my computer for unknown reasons (in his computer it works fine, proved via TeamViewer).

Update July 2019: I found another Indian to fix and run the script, got 141754 buildings. The difference of about 20,000 buildings is because a of couple of entries share same postal code.

Update March 2020: 141726 buildings.

Leave a Reply

Your email address will not be published. Required fields are marked *