Table 1. Demographic characteristics of respondents by country.
China | Ghana | India | Mexico | Russia | South Africa | Spain | Effect size* | |
n = 14 244 | n = 4909 | n = 11 205 | n = 2629 | n = 4209 | n = 3879 | n = 4583 | ||
Female: n (%) | 7625 (53.5) | 2323 (47.3) | 6868 (61.3) | 1625 (61.8) | 2715 (64.5) | 2229 (57.5) | 2505 (54.7) | 0.10 |
Age, years: mean (s.d.) | 60.32 (11.85) | 60.11 (14.09) | 50.02 (16.60) | 63.00 (14.30) | 62.36 (13.02) | 60.36 (12.28) | 59.71 (15.90) | 0.33 |
Highest education level completed: n (%) | 0.21 | |||||||
Less than primary school | 5598 (39.3) | 3011 (61.3) | 6246 (55.7) | 1419 (54.0) | 111 (2.6) | 2172 (56.0) | 1269 (27.7) | |
Primary school | 2791 (19.6) | 607 (12.4) | 1710 (15.3) | 592 (22.5) | 302 (7.2) | 760 (19.6) | 1265 (27.6) | |
Secondary school | 3079 (21.6) | 273 (5.6) | 1391 (12.4) | 279 (10.6) | 760 (18.1) | 489 (12.6) | 555 (12.1) | |
High school | 2001 (14.0) | 839 (17.1) | 1194 (10.7) | 100 (3.8) | 2185 (51.9) | 273 (7.0) | 868 (18.9) | |
College/university | 760 (5.3) | 165 (3.4) | 490 (4.4) | 215 (8.2) | 839 (19.9) | 147 (3.8) | 563 (12.3) | |
Post-graduate degree | 15 (0.1) | 14 (0.3) | 174 (1.6) | 24 (0.9) | 12 (0.3) | 38 (1.0) | 62 (1.4) | |
Currently working: n (%) | 6073 (42.8) | 3524 (72.0) | 4735 (42.3) | 791 (30.1) | 1563 (37.2) | 1057 (27.5) | 1360 (29.7) | 0.24 |
Married or in partnership: n (%) | 11915 (83.7) | 2927 (60.0) | 8696 (77.6) | 1670 (63.5) | 2397 (57.0) | 2008 (52.7) | 2777 (60.6) | 0.26 |
Rural setting: n (%) | 7319 (51.4) | 2886 (58.8) | 8365 (74.7) | 699 (26.6) | 1033 (24.5) | 1275 (32.9) | 625 (13.6) | 0.40 |
All the differences were significant at a 99% confidence level. Effect size: Cramer's V for χ2 test (categorical variables) and Cohen's f for ANOVA test (quantitative variables).