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Table 1 Sociodemographic data (No. (%))

From: Stressors related to the Covid-19 pandemic, climate change, and the Ukraine crisis, and their impact on stress symptoms in Germany: analysis of cross-sectional survey data

Factor

females (n = 1.560)

males (n = 1.534)

total (n = 3.094)

test statistics

age group

 18–29

244 (15.6%)

247 (16.1%)

491 (15.9%)

Chi2 (5) = 3.64, p = .603

 30–39

220 (14.1%)

221 (14.4%)

441 (14.3%

 

 40–49

252 (16.2%)

257 (16.8%)

509 (16.5%)

 

 50–59

320 (20.5%)

279 (18.2%)

599 (19.4%)

 

 60–69

246 (15.8%)

233 (15.2%)

479 (15.5%)

 

 70–99

278 (17.8%)

197 (19.4%)

575 (18.6%)

 

net income group (month)

   

 0–1.000€

330 (21.2%)

220 (14.3%)

550 (17.8%)

Chi2 (5) = 158.84, p < .001

 1.001—1.999€

519 (33.3%)

437 (28.5%)

956 (30.9%)

 

 2.000—2.499€

160 (10.3%)

246 (16.0%)

405 (13.1%)

 

 2.500—3.499€

102 (6.5%)

201 (13.1%)

303 (9,8%)

 

  > 3.500€

75 (4.8%)

191 (12.5%)

266 (8,6%)

 

 no answer

374 (24.0%)

240 (15.6%)

614 (19.8%)

 

federal state

  

Chi2 (15) = 10.87, p = .762

 Baden Württemberg

206 (13.2%)

190 (12.4%)

396 (12.8%)

 

 Bavaria

238 (15.3%)

237 (15.4%)

475 (15.4%)

 

 Berlin

72 (4.6%)

77 (5.0%)

149 (4.8%)

 

 Brandenburg

49 (3.1%)

46 (3.0%)

95 (3.1%)

 

 Bremen

14 (0.9%)

14 (0.9%)

28 (0.9%)

 

 Hamburg

41 (2.6%)

45 (2.9%)

86 (2.8%)

 

 Hesse

113 (7.2%)

112 (7.3%)

225 (7.3%)

 

 Mecklenburg-Vorpommern

36 (2.2%)

25 (1.6%)

60 (1.9%)

 

 Lower Saxony

146 (9.4%)

153 (10.0%)

299 (9.7%)

 

 North Rhine Westphalia

319 (20.4%)

333 (21.75)

652 (21.1%)

 

 Rhineland Palatinate

90 (5.8%)

62 (4.0%)

152 (4.9%)

 

 Saarland

22 (1.4%)

14 (0.9%)

36 (1.2%)

 

 Saxony

74 (4.7%)

83 (5.4%)

157 (5.1%)

 

 Saxony Anhalt

42 (2.7%)

46 (3.0%)

88 (2.8%)

 

 Schleswig Holstein

54 (3.5%)

56 (3.7%)

110 (3.6%)

 

 Thuringia

45 (2.9%)

41 /2.7%)

86 (2.8%)

 
  1. Abbreviation: p = level of significance