This paper aims to examine the key factors of access and use of ICTs at the micro level and the impact on digital poverty In SSA. The regression results of ordered logistic model showed that the variable capacity (e-skills) impact significantly on the prediction of the different levels of access and use of ICT. Factors such as income and education level "vocational training" achieved significantly explain the probability of access and use of ICT Among individuals. Digital poverty is more rural and peri-urban areas than metropolitan area.

The results of the study showed that individuals with no occupation or seasonal activity are most vulnerable to exclusion from the information society and the extreme digital poverty than those who have a full time job. Moreover, the results showed that people in countries like South Africa, Nigeria, Kenya, Namibia and Senegal are the top five among the 17 countries whose populations are more easily access and use of ICT. .The countries that occupy the bottom of the pyramid in terms of exclusion from information society are Mozambique, Ethiopia, Rwanda, Tanzania and Zambia. This shows that the level of economic development is among others a determinant of access and use of ICT.