Table 1.
Descriptive statistics of children 6–59 months of age, 2014
| Alto Molócuè (N = 697) | Morrumbala (N = 484) | Namacurra (N = 348) | All province (N = 2,317) | |
|---|---|---|---|---|
| Child age (in months) | 24 (12–36) | 24 (12–26) | 24 (12–36) | 24 (12–36) |
| Mother's age (years) (18% missing) | 27 (22–33) | 29 (23–38) | 27 (21–32) | 26 (22–33) |
| Sex of child | ||||
| Male | 49% | 42% | 49% | 50% |
| Female | 51% | 58% | 51% | 50% |
| Understands Portuguese | 62% | 18% | 43% | 47% |
| Years of education (continuous) | 4 (2–6) | 1 (0–2) | 1 (0–5) | 3 (0–5) |
| Education category (respondent) | ||||
| 0–5 years | 73.5% | 92.7% | 76.8% | 78.0% |
| 6–10 years | 25.4% | 7.0% | 21.4% | 18.2% |
| > 10 years | 1.1% | 0.3% | 1.7% | 3.8% |
| Marital status | ||||
| Divorced/separated | 2% | 0.4% | 6% | 2% |
| Married/common law | 89% | 73% | 57% | 69% |
| Single | 7% | 25% | 33% | 27% |
| Widowed | 2% | 1% | 5% | 2% |
| Household size | 5 (4–6) | 5 (4–6) | 4 (4–5) | 5 (4–6) |
| Time to health facility (in minutes) (26% missing) | 4 (2–90) | 2 (1–4) | 3 (3–90) | 4 (2–20) |
| Urban/rural | ||||
| Rural | 88% | 96% | 100% | 78% |
| Urban | 12% | 4% | 0% | 22% |
| Decisions about seeking health care for child (N = 32, 1% missing) | ||||
| Men | 15% | 16% | 9% | 13% |
| Women | 18% | 12% | 26% | 30% |
| Both | 68% | 72% | 66% | 55% |
| Mode of transport to health facility (3% missing) | ||||
| Bicycle | 21% | 48% | 10% | 17% |
| Car | 5% | 1% | 0% | 1% |
| Motorcycle | 4% | 3% | 2% | 2% |
| On foot | 71% | 48% | 88% | 80% |
| Family income (24% missing) | ||||
| < 1,000 MZN per month | 63% | 74% | 92% | 83% |
| 1,000 + MZN per month | 37% | 26% | 8% | 17% |
| Household has radio (N = 18 missing) | 51% | 52% | 22% | 35% |
| Respondent understands Portuguese | 62% | 18% | 42% | 47% |
Continuous variables are reported as weighted estimates of median (interquartile range), with each observation being weighted by the inverse of the household sampling probability. Categorical variables are reported as weighted percentages, with each observation being weighted by the inverse of the household sampling probability.