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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.