Table 1.
Socio-demographic characteristics of respondents
| Variables | Study, n (% distribution) | Rupandehi, n (% distribution)a |
|---|---|---|
| Gender | ||
| Male | 101 (45.9) | 277,714 (47.8)b |
| Female | 119 (54.1) | 302,974 (52.2)b |
| Area of residence | ||
| Urban | 88 (40.0) | (49.0)b |
| Rural | 132 (60.0) | (51.0)b |
| Age (Years) | ||
| 15–24 | 25 (11.4) | 185,430 (31.9)b |
| 25–34 | 50 (22.7) | 134,798 (23.2)b |
| 35–44 | 81 (36.8) | 99,013 (17.1)b |
| 45–54 | 38 (17.3) | 69,363 (11.9)b |
| 55+ | 26 (11.8) | 92,084 (15.9)b |
| Min = 18, Max = 69, Mean = 38.5, SD = 11.511 | ||
| Level of education | ||
| General literate | 38 (17.3) | |
| Primary/Secondary school | 69 (31.4) | |
| High school/Intermediate | 66 (30.0) | |
| Bachelors and above | 47 (21.4) | |
| Level of Income - Quartile (NPR) (n = 210) | ||
| First (30,000 or less) | 60 (28.6)c | |
| Second (30,001 to 40,000) | 46 (21.9)c | |
| Third (40,001 to 53,500) | 52 (24.8)c | |
| Fourth (53,501 and above) | 52 (24.8)c | |
| Min = 2300, Max = 110,000, Mean = 42,491.9, SD = 16,835.0 | ||
aSource: CBS, 2014 [53]
b% calculated based on population of 15 years and above
cNumbers not equally distributed across quartiles due to clustering of responses at cut-off points