Experimental Statistics

DOS has developed new experimental value-added series, disaggregating the Wholesale Trade industry into six distinct segments. This detailed breakdown offers richer analytical insights, enabling a deeper understanding of industry trends and segment performance.

Find out more in the infographic on Wholesale Trade: A Sectoral Analysis.

DOS publishes annual data on multifactor productivity (MFP) using total employment and net fixed capital stock as measures for labour and capital inputs respectively. As part-time and other flexible work arrangements became increasingly prevalent, DOS developed an experimental data series for MFP using total actual hours worked as the measure for labour input. Read about the MFP concepts and methodology, as well as key findings on the experimental MFP series from the article 'Multifactor Productivity: An Experimental Series on Using Total Actual Hours Worked as a Measure for Labour Input'.

Leverage Big Data and machine learning to profile and measure Singapore's internet economy. The information obtained through text mining online sources can be combined with survey and administrative data to provide further insights on the profile of enterprises in Singapore with and without internet presence.

More information is available from the article on 'Using Big Data to Profile Singapore's Internet Economy'.

Leverage administrative data to provide insights on geographical distributions of firms.

More information is available at:

• Know My Industry - Retail Trade -> How is my industry performing? -> How many firms are engaged in similar activities across Singapore?
• Know My Industry - Food & Beverage Services -> How is my industry performing? -> How many firms are engaged in similar activities across Singapore?