Table 1.
Demographic and occupational characteristics of participants.
| Demographics | Total (%) | Income Losses Caused by COVID-19 | ||
|---|---|---|---|---|
| Light | Middle | Heavy | ||
| 398 (100%) | 135 (33.9%) | 70 (17.6%) | 193 (48.5%) | |
| Age (years) | ||||
| 18–25 | 78 (19.6%) | 31 (7.8%) | 10 (2.5%) | 37 (9.3%) |
| 26–30 | 127 (31.9%) | 40 (10.1%) | 14 (3.5%) | 73 (18.3%) |
| 31–40 | 145 (36.4%) | 44 (11.1%) | 38 (9.5%) | 63 (15.8%) |
| >40 | 48 (12.1%) | 20 (5.0%) | 8 (2.0%) | 20 (5.0%) |
| Sex | ||||
| Male | 201 (50.5%) | 67 (16.8%) | 39 (9.8%) | 95 (23.9%) |
| Female | 197 (49.5%) | 68 (17.1%) | 31 (7.8%) | 98 (24.6%) |
| Education | ||||
| <Undergraduate | 110 (27.6%) | 22 (5.5%) | 17 (4.3%) | 71 (17.8%) |
| College | 180 (45.2%) | 66 (16.6%) | 42 (10.6%) | 72 (18.1%) |
| >Master | 108 (27.1%) | 47 (11.8%) | 11 (2.8%) | 50 (12.6%) |
| Marital Status | ||||
| Married | 197 (49.5%) | 72 (18.1%) | 32 (8.0%) | 93 (23.4%) |
| Not married | 201 (50.5%) | 63 (15.8%) | 38 (9.5%) | 100 (25.1%) |
| Working Location | ||||
| Hubei Province | 176 (44.2%) | 43 (10.8%) | 30 (7.5%) | 103 (25.9%) |
| Others | 222 (55.8%) | 92 (23.1%) | 40 (10.1%) | 90 (22.6%) |
| Residence | ||||
| Urban | 298 (74.9%) | 116 (29.1%) | 51 (12.8%) | 131 (32.9%) |
| Rural | 100 (25.1%) | 19 (4.8%) | 19 (4.8%) | 62 (15.6%) |