Figure 1.
A description of mobile phone ownership and sharing practices in Kenya.
A) Mobile phone ownership in Kenya. Map showing the survey locations (based on 2nd level selection) and number of surveys across the country as part of the FSDK 2009. Map background is divided into counties, and colored according to population density (see color bars). B) Proportion of Kenyans who own or use a mobile phone, and proportion of non-owners who share a phone. Of those who share (left), the second pie chart shows who they share with (household (HH) member, friend or family member, or local mobile phone agent.
Figure 2.
The relationship between mobile phone ownership and socioeconomic attributes.
Income (A), age (B), and education (0 = None, 1 = Some primary, 2 = Primary completed, 3 = Some secondary, 4 = Secondary completed, 5 = Technical training, 6 = University), (C) for all individuals in the survey. Binned values reflect the structure of the survey questions.
Table 1.
For the multi-level logistic regression, the variables age, gender, education (educ), literacy (lit), and income were used.
Table 2.
Correlations between all variables used in the multi-level logistic regression and mobile phone ownership were calculated using a Pearson's product moment correlation test.
Table 3.
A multi-level logistic regression was performed using age, gender, education, literacy, and income to predict mobile phone ownership.
Figure 3.
The relationship between population density and poverty rate with mobile phone ownership.
A) The relationship between population density and poverty rate in Kenya by county. Each circle represents a county, with the size of the circle corresponding to the total county population, and the color of the circle representing the percent of the population considered urban (see main text). B) The relationship between mobile phone ownership and poverty rate in Kenya by county. Circles sized and colored as above.
Figure 4.
The distribution of mobile phones in different income brackets.
Urban A) and rural counties B) are shown separately. Here, urban counties were classified as those having 50% or more of their population considered urban. Rural counties were classified as those having up to 50% of their population considered urban.
Figure 5.
The relationship between mobile phone ownership and sharing.
A) The relationship between mobile phone ownership and sharing behavior, by county. Circles are colored by percentage of the population of the country considered urban (see main text), and their size represents the percentage of individuals in a county that doesn't use a mobile phone at all. B) Map showing the counties where less than 30% of individuals own and less than 30% of individuals share a phone. The colors correspond to 3A, representing the percentage of the population considered urban.