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Research Article

Identifying and understanding digital exclusion: a mixed-methods study

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Received 16 Nov 2023, Accepted 10 Jun 2024, Published online: 25 Jun 2024

Figures & data

Table 1. Demographic profile of the total sample and digitally excluded respondents.

Figure 1. Frequency distribution of respondents who self-reported ‘no digital access’.

Figure 1. Frequency distribution of respondents who self-reported ‘no digital access’.

Figure 2. Frequency distribution of respondents who self-reported ‘no digital use’.

Figure 2. Frequency distribution of respondents who self-reported ‘no digital use’.

Figure 3. Frequency distribution of respondents who self-reported ‘no confidence in using digital tools’.

Figure 3. Frequency distribution of respondents who self-reported ‘no confidence in using digital tools’.

Figure 4. Frequency distribution of respondents who self-reported ‘very poor digital skills’.

Figure 4. Frequency distribution of respondents who self-reported ‘very poor digital skills’.

Table 2. Logistic regression models developed to understand the key determinants of being digitally excluded in the borough.

Table 3. Characteristics of the focus groups.