Abstract
This dataset focuses on the causes and effects of sick building syndrome among users of selected facilities in Lagos. A mixed research approach of field measurement and cross-sectional survey was adopted. Descriptive statistics were implemented on the data acquired and are reported on tables and figures. The significance of this data leverages on providing insight and consciousness of sick building syndrome to users and occupants of constructed facilities. The survey dataset when analyzed can show direction on physical quantities levels that can be experienced in public buildings in tropical region.