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Table 2 Correlation matrix (Pearson's r), regional variables (N = 35)a

From: Does the socioeconomic context explain both mortality and income inequality? Prospective register-based study of Norwegian regions

 

2

3

4

5

6

7

8

9

1. Gini pre-tax personal income

.882

.789

.745

-.583

(.115)

.640

.755

-.495

2. Gini post-tax household-adj. income

.859

.840

-.543

(-.231)

.728

.855

-.437

3. Mean pre-tax personal income

.982

-.566

(-.310)

.822

.955

-.706

4. Mean post-tax household-adjusted income

-.509

(-.334)

.756

.921

-.657

5. Percentage employment agriculture, forestry etc.

(.115)

-.741

-.605

(.199)

6. Percentage employment manufacturing, mining

-.448

(-.399)

(.085)

7. Percentage employment banking, financial services

.851

-.578

8. Percentage aged 30-64 with university or college education

-.628

9. Percentage of population 30-64 with disability benefits

  1. a All correlations, except those bracketed, are statistically significant, p < .01.