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. 2021 Mar 19;99(6):429–438. doi: 10.2471/BLT.20.270983

Table 1. Characteristics of women included in online survey to assess prevalence and factors of violence against women and children during the coronavirus disease 2019 pandemic, Germany, April–May 2020.

Sociodemographic characteristics (n = 3818) No. women (%)
Cohabitating 3474 (90.99)
Born abroad (or parents born abroad) 562 (14.72)
With ≥ 4 members of household 925 (24.23)
With children < 10 years 972 (25.46)
With children ≥  10 years 718 (18.81)
Net household income before pandemic (€)
< 2000 756 (19.80)
2000–4000 1635 (42.82)
> 4000 925 (24.23)
Prefer not to say 502 (13.15)
Education
Middle school or less 1269 (33.24)
Lower secondary 1074 (28.13)
Higher secondary or more 1475 (38.63)
Employed (Feb 2020) 2842 (74.44)
Employed as key worker 1007 (26.38)
Partner employed (April 2020) 3000 (78.58)
Under home quarantine 657 (17.21)
Financial impact of pandemic
Actual unemployment (woman or partner) 91 (2.38)
Reduced employment or furlough (woman or partner) 1091 (28.58)
Financial worries
Unemployment (own or partner) 716 (18.75)
Insufficient income 448 (11.73)
Mental health
Sad most days 380 (9.95)
Anxious about the pandemic 108 (2.83)
Partner’s mental health (as assessed by respondent)a
Sad most days 353 (9.70)
Anxious about the pandemic 97 (2.67)
Region
North 602 (15.77)
East 755 (19.77)
West 1375 (36.01)
South 1086 (28.44)

€: euros.

a We only had complete data on partner’s mental health for 3638 of the respondents.

Note: We included women aged 18–65 years (mean: 44.30; standard deviation: 12.02) in the study.