Table 1.
Variable | Levels | Sample (%) | Populationa (%) |
---|---|---|---|
Gender | Male | 48.6 | 49.5 |
Female | 51.4 | 50.5 | |
Age (years) | 12–25 | 12.1 | 17.0 |
25–44 | 28.3 | 28.5 | |
45–64 | 35.0 | 33.1 | |
65+ | 24.6 | 21.3 | |
Main occupation | Unemployed | 39.9 | 40.4 |
Employed in public sector | 6.9 | 6.0 | |
Employed in private sector | 39.0 | 38.9 | |
Self-employed or entrepreneur | 5.7 | 7.3 | |
Student | 8.6 | 7.2 | |
Education | Low | 24.1 | 25.1 |
Medium | 38.5 | 40.9 | |
High | 37.4 | 33.9 | |
Urban density (inhabitants/km2) | <500 | 7.8 | 7.8 |
500–1000 | 21.3 | 21.6 | |
1000–1500 | 16.3 | 15.6 | |
1500–2500 | 31.8 | 30.3 | |
>2500 | 22.9 | 24.6 | |
Household composition | Single | 22.2 | 20.7 |
Multiple adults | 49.0 | 46.1 | |
Family with child ≤12 | 18.8 | 21.3 | |
Family with child >12 | 9.9 | 11.8 |
Population statistics taken from 2019 (MOA, 2019). They therefore refer to the situation before the corona crisis.