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Table 1 Descriptive statistics of selected characteristics of the sample

From: Analysing the impact of the COVID-19 outbreak on everyday travel behaviour in Germany and potential implications for future travel patterns

Variable

Characteristics

Share of respondents [N = 1.000]

Gender

Male

51%

Female

49%

Age

18–24

12%

25–34

14%

35–44

15%

45–54

16%

55–64

18%

65 or above

25%

Educational level

No degree (yet)

2%

Secondary general school

27%

Secondary school

31%

Academic secondary school

17%

University

17%

Other education

7%

Employment status

Full-time employed (35 h/ week)

36%

Part-time employed (18 to 35 h/ week)

11%

Marginally employed (11 to 18 h/ week)

4%

Student / trainee

10%

Retired

30%

Other employment, unemployed or temporary exemption from work (e.g. parental leave)

9%

Driving license

Percentage of possession

82%

Car in household

Percentage of possession (at least 1 car)

79%

Place of residence - regional type

Urban region

63%

Rural region

37%

Place of residence - state

Baden-Württemberg

13%

Bavaria (Bayern)

18%

Berlin

4%

Brandenburg

3%

Bremen

0.4%

Hamburg

1%

Hesse (Hessen)

7%

Lower Saxony (Niedersachsen)

9%

Mecklenburg-Vorpommern

2%

North Rhine-Westphalia (Nordrhein-Westfalen)

21%

Rhineland-Palatinate (Reinland-Pfalz)

5%

Saarland

1%

Saxony (Sachsen)

5%

Saxony-Anhalt (Sachsen-Anhalt)

3%

Schleswig-Holstein

3%

Thuringia (Thüringen)

3%