Table 4.
Bangladesh | India | Vietnam | Indonesia | Thailand | |||||
---|---|---|---|---|---|---|---|---|---|
Variables | Matlab | Mirsarai | Abhoynagar | WATCH | Vadu | Chililab | Filabavi | Purworejo | Kanchanaburi |
Sex | |||||||||
Men | 0.29 (0.23–0.35) | 0.15 (0.12–0.19) | 0.36 (0.29–0.45) | 0.38 (0.28–0.51) | 0.84 (0.69–1.02) | 1.43 (1.09–1.87) | 1.49 (1.23–1.8) | 0.35 (0.28–0.46) | 0.51 (0.41–0.65) |
Women | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Age groups (years) | |||||||||
25–34 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
35–44 | 0.89 (0.68–1.16) | 0.69 (0.52–0.92) | 0.68 (0.51–0.91) | 0.78 (0.54–1.13) | 0.85 (0.66–1.1) | 0.69 (0.48–1) | 0.82 (0.63–1.05) | 1.1 (0.79–1.52) | 0.83 (0.6–1.14) |
45–54 | 0.99 (0.76–1.29) | 0.93 (0.7–1.24) | 0.64 (0.48–0.87) | 1.05 (0.74–1.49) | 0.95 (0.73–1.24) | 0.86 (0.61–1.21) | 0.85 (0.66–1.1) | 0.85 (0.6–1.22) | 0.83 (0.59–1.16) |
55–64 | 1.52 (1.16–1.97) | 1.22 (0.92–1.62) | 1.07 (0.8–1.42) | 2.02 (1.45–2.82) | 1.01 (0.76–1.34) | 0.68 (0.47–1) | 1.66 (1.25–2.19) | 1.12 (0.78–1.62) | 1.01 (0.74–1.4) |
Highest education levels | |||||||||
No schooling and not graduated from primary school | 0.82 (0.58–1.16) | 0.57 (0.37–0.88) | 0.65 (0.4–1.04) | 0.24 (0.15–0.37) | 0.78 (0.6–1.02) | 0.8 (0.49–1.28) | 0.33 (0.22–0.5) | 0.31 (0.21–0.47) | 0.55 (0.37–0.81) |
Graduated from primary school | 0.84 (0.58–1.22) | 0.61 (0.36–1.03) | 1 (0.57–1.74) | 0.58 (0.34–0.99) | 0.88 (0.63–1.22) | 0.4 (0.26–0.62) | 0.36 (0.25–0.51) | 0.42 (0.3–0.59) | 0.68 (0.48–0.97) |
Graduated from secondary school | 0.93 (0.54–1.62) | 0.78 (0.49–1.23) | 0.82 (0.5–1.35) | 0.48 (0.27–0.87) | 0.93 (0.7–1.24) | 0.53 (0.39–0.71) | 0.41 (0.3–0.56) | 0.64 (0.45–0.93) | 0.57 (0.34–0.95) |
Graduated from high school or university | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |