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Table 2 Descriptive statistics of participants included in analyses

From: Do precipitation anomalies influence short-term mobility in sub-saharan Africa? An observational study from 23 countries

Variable

Women

(n = 294,539)

Men

(n = 136,415)

Rural, % (n)

62.3 (183,561)

60.8 (82,886)

Age, mean (SD)

28.5 (9.6)

30.7 (11.8)

Household size, % (n)

  

1–2

7.0 (20,623)

13.2 (18,013)

3–4

24.2 (71,340)

22.6 (30,313)

5–7

40.1 (117,999)

37.3 (50,898)

8+

28.7 (84,577)

27.9 (36,686)

Wealth quintile, % (n)

  

Poorest

19.0 (56,049)

18.3 (24,935)

Poorer

18.5 (54,372)

18.8 (25,594)

Middle

19.0 (56,077)

19.5 (26,567)

Richer

20.6 (60,512)

20.8 (28, 321)

Richest

22.9 (67,529)

22.7 (30,998)

Education level, % (n)

  

None

26.5 (78,155)

15.3 (20,858)

Primary

37.9 (111,757)

35.9 (41,942)

Secondary

31.6 (93,204)

41.5 (56,604)

Higher

3.9 (11,423)

7.3 (10,011)

Literate, % (n)

53.2 (156,631)

66.5 (90,762)

Married, % (n)

48.5 (142,797)

44.8 (61,111)

Short-term mobility in past year, % (n)

12.4 (36,596)

16.0 (21,835)

Rainfall deviation percentile, mean (SD)

0.45 (0.29)

0.45 (0.28)