Table 2.
Socio-economic characteristics of the respondents and their association with COVID-19 risk perception.
| Socio-Economic Variable | Category | Percentage | N | Chi-square | Effect Size (Cramer's V/Phi) |
|---|---|---|---|---|---|
| Age | 18yr than 30 yr | 15.1 % | 57 | χ2 = 22.994, df = 3, sig = 0.001∗∗ | 0.247 |
| 30 yr to 45 yr | 51.3 % | 194 | |||
| 45yr to 60 yr | 27.8 % | 105 | |||
| Greater than 60 year | 5.8 % | 22 | |||
| Gender | Male | 70.1 % | 265 | χ2 = 0.013, df = 1, sig = 0.11 | 0.006 |
| Female | 29.9 % | 113 | |||
| Education | Illiterate | 33.3 % | 126 | χ2 = 96.252, df = 6, sig = 0.001∗∗ | 0.505 |
| Class I–V | 24.1 % | 91 | |||
| Class VI-X | 19.8 % | 75 | |||
| SSC or Equivalent | 10.8S% | 41 | |||
| HSC or Equivalent | 8.7 % | 33 | |||
| Honors or Equivalent | 2.6 % | 10 | |||
| Masters or Equivalent | 0.5 % | 2 | |||
| Religion | Muslim | 94.7 % | 358 | χ2 = 0.934, df = 2, sig = 0.627 | 0.05 |
| Hindu | 4.8 % | 18 | |||
| Christian | 0.5 % | 2 | |||
| Income | <5000 BDT | 0.8 % | 3 | χ2 = 18.516, df = 3, sig = 0.001∗∗ | 0.221 |
| 5000-10000 BDT | 33.3 % | 126 | |||
| 10000 to 20000 BDT | 64.0 % | 242 | |||
| 20000 to 30000 BDT | 1.9 % | 7 |
Note: N=378, Significant variables are marked with (∗∗).