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Table 2 Demographic characteristics of the Global Flourishing Study sample (wave 1)

From: Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study

Characteristic

N = 202,898a

Age group

 

 18–24

27,007 (13%)

 25–29

20,700 (10%)

 30–39

40,256 (20%)

 40–49

34,464 (17%)

 50–59

31,793 (16%)

 60–69

27,763 (14%)

 70–79

16,776 (8.3%)

 80 or older

4,119 (2.0%)

 (Missing)

20 (< 0.1%)

Gender

 

 Male

98,411 (49%)

 Female

103,488 (51%)

 Other

602 (0.3%)

 (Missing)

397 (0.2%)

Marital status

 

 Married

107,354 (53%)

 Separated

5195 (2.6%)

 Divorced

11,654 (5.7%)

 Widowed

9823 (4.8%)

 Single, never married

52,115 (26%)

 Domestic Partner

14,931 (7.4%)

 (Missing)

1826 (0.9%)

Employment status

 

 Employed for an employer

78,815 (39%)

 Self-employed

36,362 (18%)

 Retired

29,303 (14%)

 Student

10,726 (5.3%)

 Homemaker

21,677 (11%)

 Unemployed and looking for a job

16,790 (8.3%)

 None of these/Other

8431 (4.2%)

 (Missing)

793 (0.4%)

Religious service attendance

 

 More than 1/week

26,537 (13%)

 1/week

39,157 (19%)

 1–3/month

19,749 (9.7%)

 A few times a year

41,436 (20%)

 Never

75,297 (37%)

 (Missing)

722 (0.4%)

Education

 

 Up to 8 years

45,078 (22%)

 9–15 years

115,097 (57%)

 16 + years

42,578 (21%)

 (Missing)

146 (< 0.1%)

Immigration status

 

 Born in this country

190,998 (94%)

 Born in another country

9791 (4.8%)

 (Missing)

2110 (1.0%)

Country

 

 Argentina

6724 (3.3%)

 Australia

3844 (1.9%)

 Brazil

13,204 (6.5%)

 Egypt

4729 (2.3%)

 Germany

9506 (4.7%)

 Hong Kong (S.A.R. of China)

3012 (1.5%)

 India

12,765 (6.3%)

 Indonesia

6992 (3.4%)

 Israel

3669 (1.8%)

 Japan

20,543 (10%)

 Kenya

11,389 (5.6%)

 Mexico

5776 (2.8%)

 Nigeria

6827 (3.4%)

 Philippines

5292 (2.6%)

 Poland

10,389 (5.1%)

 South Africa

2651 (1.3%)

 Spain

6290 (3.1%)

 Sweden

15,068 (7.4%)

 Tanzania

9075 (4.5%)

 Turkey

1473 (0.7%)

 United Kingdom

5368 (2.6%)

 United States

38,312 (19%)

  1. S.A.R. Special Administrative Region
  2. aWeighted statistics computed using the tbl_svysummary function of the gtsummary package in R [19]