Table 1.
Profile of survey respondents.
| Variable | Before the outbreak of COVID-19 (n = 320) | After the outbreak of COVID-19 (n = 336) | Merging the data (n = 656) |
|---|---|---|---|
| Gender | |||
| Male | 186 (58.1%) | 173 (51.5%) | 359 (54.7%) |
| Female | 134 (41.9%) | 163 (48.5%) | 297 (45.3%) |
| Age | |||
| 20s | 122 (38.1%) | 102 (30.4%) | 224 (34.1%) |
| 30s | 96 (30.0%) | 104 (31.0%) | 200 (30.5%) |
| 40s | 69 (21.6%) | 100 (29.8%) | 169(25.8%) |
| 50s | 33 (10.3%) | 30 (8.9%) | 63 (9.6%) |
| Education level | |||
| Less than High school diploma | 34 (10.6%) | 28 (8.3%) | 62 (9.5%) |
| Associate’s degree | 51 (15.9%) | 42 (12.5%) | 93 (14.2%) |
| Bachelor’s degree | 186 (58.1%) | 222 (66.1%) | 408 (62.2%) |
| Graduate degree | 49 (15.3%) | 44 (13.1%) | 93 (14.2%) |
| Marital status | |||
| Single | 181 (56.6%) | 195 (58.0%) | 376 (57.3%) |
| Married | 137 (42.8%) | 137 (40.8%) | 274 (41.8%) |
| Others | 2 (.6%) | 4 (1.2%) | 6 (.9%) |
| Income level | |||
| 6001$ US and over | 58 (18.1%) | 21 (6.3%) | 79 (12.0%) |
| 5001$ US -6000$ US | 36 (11.3%) | 10 (3.0%) | 46 (7.0%) |
| 4001$ US -5000$ US | 47 (14.7%) | 29 (8.6%) | 76 (11.6%) |
| 3001$ US -4000$ US | 51 (15.9%) | 48 (14.3%) | 99 (15.1%) |
| 2001$ US -3000$ US | 74 (23.1%) | 94 (28.0%) | 168 (25.6%) |
| 1001$ US -2000$ US | 42 (13.1%) | 66 (19.6%) | 108 (16.5%) |
| Under 1000$ US | 12 (3.8%) | 68 (20.2%) | 80 (12.2%) |