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. 2022 May 19;12(5):e059922. doi: 10.1136/bmjopen-2021-059922

Table 1.

Characteristics of respondents stranded during COVID-19

Variables n %
Sex recorded at birth (1054)
 Female 733 69.5
 Male 308 29.2
 Another term 2 0.2
 Prefer not to say 11 0.8
Gender (1054)
 Female 732 69.4
 Male 304 28.8
 Another term 5 0.5
 Prefer not to say 13 1.2
Age (1054)
 18–29 226 21.4
 30–49 545 51.7
 50–69 262 24.9
 70+ 21 1.1
Main language spoken at home (1054)
 English 940 89.2
 Other 83 7.9
 Spanish 11 1.0
 Urdu 7 0.7
 French 7 0.7
 Chinese 6 0.6
Highest level of education (1054)
 Tertiary education 956 90.7
 Secondary education 91 8.6
 Primary education 5 0.5
 No formal education 2 0.2
Current employment situation (1250)
 Working now for pay 620 56.0
 Unemployed 240 21.7
 Other 95 8.6
 Student 88 7.9
 Live with parents/guardians 86 8.0
 Stay-at-home parent/caregiver 84 7.6
 Retired 82 7.4
 Volunteer 23 2.1
 Unable to work due to disability or illness 18 1.6
Ethnicity (1054)
 North-West European 462 43.8
 Oceanian 242 23
 Unsure 134 12.7
 South-East Asian 70 6.6
 Southern and Eastern European 68 6.5
 Southern and Central Asian 27 2.6
 People of the Americas 26 2.5
 North-East Asian 11 1.0
 North African and Middle Eastern 10 0.9
 Sub-Saharan African 4 0.4
Usual country of residence (1341)
 WPR 1011 75.4
 EUR 176 13.1
 AMR 93 6.9
 SEAR 29 2.2
 EMR 25 1.9
 AFR 7 0.5
Country where stranded (1341)
 EUR 608 45.3
 WPR 311 23.2
 AMR 238 17.7
 EMR 79 5.9
 SEAR 78 5.8
 AFR 27 2.0
Initial reason for leaving country of residence (1245)
 Long-term employment 550 44.2
 Other 272 21.8
 Visiting family or friends 260 20.9
 Travel to study overseas 72 5.8
 Travel for business 54 4.3
 Tourism 37 3.0

AFR, African Region; AMR, Region of the Americas; EMR, Eastern Mediterranean Region; EUR, European Region; SEAR, South-East Asian Region; WPR, Western Pacific Region.