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This dataset provides the perceptions of ordinary people on the relationship between societal acceptance of bribery, anti-bribery measures, socio-economic impacts of bribery, demographic factors and persistence of bribery practices. A multi-stage sampling technique was used to target the respondents. A total of 887 grassroots respondents participated, out of which 836 responses were used for quantitative data analyses. Statistical Packages for Social Sciences (SPSS) version 23 and SmartPLS3.0 were used to determine the reliability and validity of the data. The data is useful to the authorities in formulating strategies to deal decisively with the issues of bribery practices in Nigeria.

The novel corona virus disease (Covid-19) outbreak has caused great uncertainty in all spheres of human life. The experience has been incredibly humbling given that no country or section of society, regardless of its wealth or status, has been spared. The pandemic is not only a health crisis, but is also having serious damaging effects on societies, economies and vulnerable groups. Timely response is necessary in order to alleviate human suffering and to prevent irreversible destruction of livelihoods. This paper provides preliminary data on the socio-economic impacts of Covid-19 in the coastal city of Mombasa, Kenya, at the time of government-imposed curfews and cessation of movement. We conducted online surveys for two weeks during the restrictions period. The data was collected using online questionnaires directed at the city residents. The data highlights the mobile gender gap resulting from gender inequalities, residents’ reliance on the government for Covid-19 information but lack of trust for government interventions, inadequate provisions of essential services, and the residents’ lack of preparedness to tackle similar challenges in the future.

This dataset provides the perceptions of ordinary people on the relationship between societal acceptance of bribery, anti-bribery measures, socio-economic impacts of bribery, demographic factors and persistence of bribery practices. A multi-stage sampling technique was used to target the respondents. A total of 887 grassroots respondents participated, out of which 836 responses were used for quantitative data analyses. Statistical Packages for Social Sciences (SPSS) version 23 and SmartPLS3.0 were used to determine the reliability and validity of the data. The data is useful to the authorities in formulating strategies to deal decisively with the issues of bribery practices in Nigeria., Competing Interests: The authors hereby declared that they have no known competing interest financial or personal that could have influenced the outcome of this article., (© 2020 The Author(s).)

The novel corona virus disease (Covid-19) outbreak has caused great uncertainty in all spheres of human life. The experience has been incredibly humbling given that no country or section of society, regardless of its wealth or status, has been spared. The pandemic is not only a health crisis, but is also having serious damaging effects on societies, economies and vulnerable groups. Timely response is necessary in order to alleviate human suffering and to prevent irreversible destruction of livelihoods. This paper provides preliminary data on the socio-economic impacts of Covid-19 in the coastal city of Mombasa, Kenya, at the time of government-imposed curfews and cessation of movement. We conducted online surveys for two weeks during the restrictions period. The data was collected using online questionnaires directed at the city residents. The data highlights the mobile gender gap resulting from gender inequalities, residents' reliance on the government for Covid-19 information but lack of trust for government interventions, inadequate provisions of essential services, and the residents' lack of preparedness to tackle similar challenges in the future., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article., (© 2020 The Authors.)