| |
China
|
Ghana
|
India
|
Mexico
|
Russian Federation
|
South Africa
|
|---|
|
%
|
95% CI
|
%
|
95% CI
|
%
|
95% CI
|
%
|
95% CI
|
%
|
95% CI
|
%
|
95% CI
|
|---|
|
Men
| | | | | | | | | | | | |
|
50-59
|
15.3
|
[12.7,18.3]
|
3.2
|
[2.1,5.0]
|
0.6
|
[0.2,1.4]
|
0
| |
3.9
|
[1.8,8.5]
|
1.3
|
[0.7,2.3]
|
|
60-69
|
12.5
|
[10.4,15.1]
|
2.7
|
[1.6,4.5]
|
0.4
|
[0.1,1.0]
|
0.8
|
[0.1,5.2]
|
8.0
|
[1.7,30.4]
|
2.1
|
[1.0,4.5]
|
|
70-79
|
8.5
|
[6.8,10.6]
|
1.6
|
[0.4,5.7]
|
0
| |
0
| |
0.7
|
[0.1,4.3]
|
0
|
[0.0,0.1]
|
|
80+
|
3.3
|
[1.6,6.7]
|
0.4
|
[0.1,2.8]
|
0
| |
1.7
|
[0.3,11.1]
|
0
| |
0
| |
|
Women
| | | | | | | | | | | | |
|
50-59
|
0.5
|
[0.3,1.1]
|
0.1
|
[0.0,0.8]
|
0.1
|
[0.0,0.6]
|
0
|
-
|
0
|
[0.0,0.1]
|
0.5
|
[0.2,1.6]
|
|
60-69
|
0.5
|
[0.2,1.2]
|
1.2
|
[0.3,4.5]
|
0
| |
0
|
-
|
2.2
|
[0.5,9.6]
|
1.1
|
[0.2,5.6]
|
|
70-79
|
0.6
|
[0.3,1.4]
|
0.2
|
[0.0,1.7]
|
0
| |
0
|
-
|
0
| |
0.5
|
[0.2,1.4]
|
|
80+
|
1.6
|
[0.6,4.6]
|
0
| |
0
| |
0
|
-
|
0
| |
2.6
|
[0.6,11.4]
|
|
Residence
| | | | | | | | | | | | |
|
Urban
|
1.8
|
[1.3,2.4]
|
1.2
|
[0.7,2.1]
|
0.1
|
[0.0,0.6]
|
0.1
|
[0.0,0.6]
|
2.2
|
[0.6,7.3]
|
1.0
|
[0.6,1.9]
|
|
Rural
|
10.4
|
[9.1,11.9]
|
1.7
|
[1.1,2.6]
|
0.3
|
[0.1,0.7]
|
0.2
|
[0.0,1.4]
|
3.2
|
[0.8,11.6]
|
1.0
|
[0.4,2.3]
|
|
Income quintile*
| | | | | | | | | | | |
|
Lowest
|
7.0
|
[5.4,9.1]
|
1.7
|
[0.8,3.6]
|
0.4
|
[0.1,1.3]
|
0
| |
2.0
|
[0.8,4.9]
|
1.0
|
[0.4,2.2]
|
|
Second
|
6.9
|
[5.9,7.9]
|
1.0
|
[0.4,2.2]
|
0.3
|
[0.1,2.3]
|
0.3
|
[0.0,2.0]
|
8.3
|
[1.9,30.2]
|
1.8
|
[1.8,1.8]
|
|
Middle
|
7.6
|
[5.7,10.1]
|
2.2
|
[1.1,4.3]
|
0
|
[0.0,0.2]
|
0
| |
0.3
|
[0.1,1.0]
|
1.1
|
[1.1,1.1]
|
|
Fourth
|
6.6
|
[5.2,8.3]
|
1.6
|
[0.8,3.2]
|
0.1
|
[0.0,0.2]
|
0.3
|
[0.0,1.9]
|
1.2
|
[0.5,2.8]
|
0.3
|
[0.1,1.0]
|
|
Highest
|
4.0
|
[2.8,5.7]
|
1.0
|
[0.5,2.1]
|
0.2
|
[0.1,0.7]
|
0
| |
1.9
|
[0.5,7.0]
|
1.0
|
[0.2,4.4]
|
|
Total
|
6.3
|
[5.6,7.2]
|
1.5
|
[1.1,2.1]
|
0.2
|
[0.1,0.5]
|
0.1
|
[0.0,0.5]
|
2.5
|
[1.0,6.1]
|
1.0
|
[0.6,1.7]
|
- *Income levels were generated through a multi-step process, where asset ownership was converted to an asset ladder, a Bayesian post-estimation method used to generate raw continuous income estimates, and then transformed into quintiles. Lowest (Quintile 1) is the quintile with the poorest households and Highest (Quintile 5) the quintile with the richest households.
- Note: Weighted estimates.
