Table 2 Characteristics of individuals within each Local Moran cluster type for the adjusted YPLLG model.

From: Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland

 

Not significant

High–High

Low–Low

Low–High

High–Low

N

7271–8866

466–1097

179–500

224–550

263–579

8007.1 (80.1%)

752.3 (7.5%)

375.3 (3.8%)

405.8 (4.1%)

457.3 (4.6%)

 ± 431.16

 ± 172.92

 ± 101.42

 ± 94.11

 ± 106.13

Mean adjusted YPLLG

 − 4.10 to − 3.47

8.46–9.74

 − 24.32 to − 21.70

 − 20.84 to − 18.71

8.58–9.55

 − 3.76

9.09

 − 23.38

 − 19.75

9.03

 ± 0.22

 ± 0.39

 ± 0.90

 ± 0.76

 ± 0.36

Gender

Women

3824–4692

279–664

88–237

134–301

140–301

4226.9 (52.8%)

443.3 (58.7%)

173.5 (46.5%)

229.3 (56.9%)

242.3 (53.1%)

 ± 232.73

 ± 113.66

 ± 46.01

 ± 49.00

 ± 54.87

Men

3447–4174

187–433

91–263

90–249

123–291

3780.2 (47.2%)

309.0 (41.3%)

201.8 (53.5%)

176.5 (43.1%)

215.0 (46.9%)

 ± 209.30

 ± 62.83

 ± 57.28

 ± 47.78

 ± 52.78

Nationality

Non swiss

1528–1788

80–169

41–121

42–98

60–143

1645.5 (20.6%)

122.0 (16.4%)

90.3 (23.9%)

73.6 (18.1%)

110.1 (24.1%)

 ± 79.34

 ± 23.84

 ± 26.72

 ± 18.30

 ± 26.39

Swiss

5743–7078

386–928

138–389

182–452

203–440

6361.6 (79.4%)

630.3 (83.6%)

285.0 (76.1%)

332.2 (81.9%)

347.2 (75.9%)

 ± 355.62

 ± 150.50

 ± 76.78

 ± 76.84

 ± 81.00

Mean YPLL

4.02–4.41

0.00–0.02

11.56–13.40

7.83–9.72

0.02–0.05

4.23

0.01

12.59

8.65

0.04

 ± 0.13

 ± 0.00

 ± 0.61

 ± 0.62

 ± 0.01

Mean neighborhood household income

127,443–130,671

119,384–148,294

108,454–116,478

123,051–141,971

118,187–126,765

129,059.2

131,410.1

111,817.5

131,932.4

120,792.6

 ± 1151.89

 ± 9419.46

 ± 2222.63

 ± 6406.92

 ± 2495.34

Mean neighborhood population age

42.51–43.38

44.19–48.86

38.56–39.40

42.47–44.43

39.61–40.71

42.93

46.68

38.97

43.59

39.93

 ± 0.28

 ± 1.68

 ± 0.22

 ± 0.68

 ± 0.38

  1. For each variable, the table shows range, mean, and standard deviation, calculated across the ten subsets. The totals per category may not be equal to 10,000 due to neighborless individuals who were excluded from the Local Moran’s analysis.