Table 3 Means of explanatory variables in multilevel probit regression model based on the couples’ dataset1
From: Socioeconomic inequalities in lifestyle risk factors across low- and middle-income countries
Female | Male | |||
|---|---|---|---|---|
N (%) | N (%) | |||
Urban household | 37,702 | (30.1) | 37,702 | (30.1) |
Literate | 75,446 | (60.2) | 96,423 | (77.0) |
Secondary/higher educated | 51,985 | (41.4) | 73,423 | (58.6) |
No occupation | 61,727 | (49.7) | 5838 | (4.7) |
White-collar | 4867 | (3.9) | 12,333 | (9.9) |
Blue-collar | 22,308 | (18.0) | 48,524 | (39.1) |
Agriculture | 35,342 | (28.5) | 57,325 | (46.2) |
Mean (std. dev) | Mean (std. dev) | |||
Age | 37.2 | (8.1) | 37.3 | (8.6) |
Household size | 5.8 | (2.9) | 5.8 | (2.9) |
Number of living children | 2.8 | (1.9) | 3.1 | (2.5) |
N | 125,393 | 125,393 | ||