This paper presents the dataset concerning knowledge, pre- ventive behavior, psychological consequences, and suicidal behavior regarding the COVID-19 pandemic in Bangladesh. Data were collected through an online based cross-sectional survey between April 1 and April 10 in 64 districts at the early stage of the COVID-19 pandemic in Bangladesh. A total of 10,067 participants’ data were recruited for analysis. The survey contained items concerning (i) socio-demographic in- formation, (ii) knowledge concerning COVID-19, (iii) behav- ior towards COVID-19, (iv) lockdown and economic issues, (v) assessment of fear of COVID-19, (vi) assessment of in- somnia, (vii) assessment of depression, and (viii) assessment of suicidal ideation. Data were analyzed utilizing SPSS (ver- sion 22) and are represented as frequencies and percentages based on responses to the whole survey. Given that the data were collected across the whole nation, government authori- ties and healthcare policymakers can use the data to develop various models and/or policies regarding preventive strate- gies and help raise awareness through health education to- wards COVID-19
