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Table 1 Descriptive statistics stratified by year

From: Improving health equity: changes in self-assessed health across income groups in China

Characteristic

Year 2010

Year 2014

X2

P*

 

N(%)[SE]a (n = 31,743)

N(%)[SE]a (n = 32,006)

  

Age

 

307.23

< 0.001

 15–30

6151

(26.82%)

[0.35%]

7056

(26.11%)

[0.35%]

  

 30–40

5529

(19.29%)

[0.29%]

4623

(17.11%)

[0.30%]

  

 40–50

7389

(21.51%)

[0.29%]

6699

(21.41%)

[0.31%]

  

 50–60

6109

(15.50%)

[0.24%]

5744

(15.88%)

[0.26%]

  

  > 60

6565

(16.88%)

[0.26%]

7884

(19.49%)

[0.28%]

  

Gender

 

23.78

< 0.001

 female

16,320

(49.11%)

[0.36%]

15,842

(49.53%)

[0.38%]

  

 male

15,423

(50.89%)

[0.36%]

16,174

(50.47%)

[0.38%]

  

Region

 

60.30

< 0.001

 western

8846

(27.35%)

[0.34%]

9413

(26.45%)

[0.34%]

  

 central

7509

(25.51%)

[0.31%]

8064

(25.03%)

[0.31%]

  

 eastern

15,388

(47.13%)

[0.36%]

14,539

(48.52%)

[0.38%]

  

Residence

 

43.30

< 0.001

 urban

14,727

(50.25%)

[0.36%]

13,906

(56.33%)

[0.36%]

  

 rural

17,016

(49.75%)

[0.36%]

17,846

(43.67%)

[0.36%]

  

Education

 

18.99

< 0.001

 illiteracy

9162

(24.80%)

[0.30%]

8687

(24.12%)

[0.31%]

  

 up to junior high school

15,937

(51.88%)

[0.36%]

15,653

(53.15%)

[0.39%]

  

 up to vocational school

5800

(20.34%)

[0.31%]

5205

(19.60%)

[0.32%]

  

 bachelor degree or above

840

(2.99%)

[0.14%]

748

(3.14%)

[0.15%]

  

Marital status

 

149.88

< 0.001

 without spouse

6322

(23.3%)

[0.33%]

7661

(27.17%)

[0.35%]

  

 with spouse

25,417

(76.7%)

[0.33%]

24,351

(72.83%)

[0.35%]

  

Occupation

 

4400

< 0.001

 unemployment

16,347

(49.96%)

[0.36%]

8343

(26.39%)

[0.34%]

  

 agricultural work

7490

(21.91%)

[0.29%]

10,473

(26.98%)

[0.31%]

  

 self-employed

1864

(7.08%)

[0.20%]

3106

(10.83%)

[0.24%]

  

 employees

6042

(21.04%)

[0.31%]

10,094

(35.8%)

[0.37%]

  

Self-rated health

 

7.75

< 0.01

 good

26,371

(85.44%)

[0.24%]

26,860

(86%)

[0.25%]

  

 poor

5372

(14.56%)

[0.24%]

5156

(14%)

[0.25%]

  
  1. aWeighted proportions accounting for sampling design were used to calculate proportions and standard errors
  2. *Person Chi2 test when comparing categories of characteristics between year 2010 and 2014