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Table 1 Percent distribution of respondent sociodemographic characteristics, by country and multi-country pooled data, SAGE Wave 1

From: Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1

  China Ghana India Mexico Russia South Africa Pooled
(n = 13,157) (n = 4,305) (n = 6,560) (n = 2,318) (n = 3,938) (n = 3,836) (n = 34,114)
  % % % % % % %
Age group        
50-59 44.9 39.7 48.6 48.1 44.1 49.9 45.8
60-69 31.9 27.5 30.9 25.6 26.7 30.6 29.7
70-79 18.6 23.1 16 17.8 21.4 14 18.7
80+ 4.6 9.7 4.5 8.6 7.7 5.5 5.8
Sex        
Men 49.8 52.4 51 46.8 41.9 44.1 47.2
Women 50.2 47.6 49 53.2 58.1 55.9 52.8
Residence        
Urban 47.3 41.1 28.9 78.8 70.1 64.9 50.4
Rural 52.7 58.9 71.1 21.2 29.9 35.1 49.6
Education level        
No formal education 23.1 54 51.2 17.2 0.5 25.2 23.8
Less than primary 18.9 10.4 10 38.4 1.2 24 10.1
Primary school completed 21 10.9 14.8 24 5.3 22.4 13.5
Secondary school completed 19.9 4 10.2 9.9 17.9 14.2 16
High school completed 12.6 17.1 8.6 2.4 54.3 8.4 26.2
College completed 4.4 3.4 3.4 5.5 20.7 3.9 9.9
Post graduate degree completed 0.1 0.2 1.7 2.6 0.1 1.8 0.6
Income quintile*        
Lowest 16.3 18.2 18.2 15.3 13.3 20.7 15.9
Second 18.1 19.1 19.5 24.7 17.1 19.9 18.2
Third 20.5 20.5 18.8 16.8 19.6 18.2 19.6
Fourth 23.4 20.7 19.6 16.6 22.1 19.8 21.7
Highest 21.8 21.6 23.9 26.6 27.8 21.3 24.5
  1. *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.
  2. Note: Weighted estimates.