Evidence-based support for the design and delivery of user-centred online public services.
Document 857
Population survey statistics
Population survey statistics
eGovernment Chart 29: Occupation-based socio-economic status of eGovernment users / non-users by country
eUSER population survey 2005
Chart 29: Occupation-based socio-economic status of eGovernment users / non-users by country
| Unskilled manual workers & other less well educated workers | Skilled workers and non-manual employees | Well educated non-manual and skilled workers | Managers and professionals | Not active or not specified | ||
|---|---|---|---|---|---|---|
| DE | Non-users | 24.2 | 8.3 | 5.7 | 5.5 | 56.2 |
| Users | 21.0 | 13.2 | 16.4 | 22.9 | 26.6 | |
| FR | Non-users | 6.7 | 20.8 | 10.2 | 4.4 | 57.9 |
| Users | 2.4 | 16.5 | 26.6 | 25.3 | 29.1 | |
| IT | Non-users | 12.5 | 14.6 | 5.0 | 5.2 | 62.7 |
| Users | 5.0 | 26.7 | 17.9 | 22.5 | 27.8 | |
| DK | Non-users | 25.8 | 15.0 | 8.1 | 3.8 | 47.4 |
| Users | 16.7 | 19.9 | 21.5 | 15.3 | 26.6 | |
| UK | Non-users | 14.6 | 10.3 | 7.7 | 18.4 | 49.1 |
| Users | 9.6 | 8.4 | 14.7 | 47.4 | 19.9 | |
| IE | Non-users | 18.0 | 8.8 | 8.0 | 16.3 | 48.8 |
| Users | 9.1 | 8.5 | 9.3 | 43.0 | 30.1 | |
| PL | Non-users | 17.2 | 8.8 | 4.8 | 4.8 | 64.4 |
| Users | 4.6 | 13.5 | 14.4 | 28.5 | 38.9 | |
| HU | Non-users | 21.1 | 7.6 | 2.8 | 9.0 | 59.4 |
| Users | 10.5 | 11.8 | 8.3 | 33.0 | 36.4 | |
| CZ | Non-users | 18.8 | 19.1 | 6.9 | 7.4 | 47.8 |
| Users | 9.8 | 29.6 | 15.4 | 23.7 | 21.4 | |
| SI | Non-users | 10.6 | 13.2 | 5.5 | 12.7 | 58.0 |
| Users | 2.3 | 17.6 | 4.8 | 43.9 | 31.4 | |
Base: Total population 18+. "Don't know" answers included in last column
As with educational level, the relationship between eGovernment use and socio-economic status (shown in Chart 29 above) is not clear cut, except that there is a significant tendency overall for users to be managers and skilled rather than unskilled workers, although Germany is an exception to this with almost the highest percentage of users in the unskilled group (see also previous Chart 28 in relation to educational level). Users who are managers/professionals and/or well educated workers show the highest percentages in France, the UK and Ireland, i.e. typically the older Member States. On the other hand, users with higher percentages of skilled workers compared to well educated workers show the highest percentages in Italy, Poland, Hungary, the Czech Republic and Slovenia, i.e. typically the New Member States. Denmark seems to be atypical in that that there is a very even spread of users amongst all socio-economic groups, including the unskilled manual workers (see also previous Chart 28 in relation to educational level).
