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From: A mixed-methods analysis of mobility behavior changes in the COVID-19 era in a rural case study
Sociodemographic variable | Characteristics | n | % |
---|---|---|---|
Gender | Male | 85 | 28.2 |
Female | 156 | 51.8 | |
Missing | 60 | 20.0 | |
Age | < 30 years | 35 | 11.6 |
30–44 years | 51 | 16.9 | |
45–59 years | 67 | 22.2 | |
> = 60 years | 80 | 26.6 | |
Missing | 68 | 22.6 | |
Employment status | Full-time | 88 | 29.2 |
Part-time | 41 | 13.6 | |
Unemployed | 9 | 3.0 | |
Retired | 57 | 18.9 | |
In education/training | 29 | 9.6 | |
Temporarily out of work | 3 | 1.0 | |
Home-maker | 4 | 1.3 | |
Missing | 70 | 23.3 | |
Net household income | < 1.000 € | 29 | 9.6 |
1.000–2.000 € | 67 | 22.3 | |
2.000–3.000 € | 60 | 19.9 | |
3.000–4.000 € | 36 | 12.0 | |
4.000–5.000 € | 16 | 5.3 | |
> 5.000 € | 6 | 2.0 | |
Missing | 84 | 28.8 | |
Driver’s license | Yes | 267 | 88.7 |
No | 26 | 8.6 | |
Missing | 8 | 2.6 | |
Mobility impairments | Yes | 23 | 7.7 |
No | 202 | 67.1 | |
Missing | 60 | 20.0 |