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Table 3 Results of PCA

From: General practitioners in German metropolitan areas – distribution patterns and their relationship with area level measures of the socioeconomic status

Indicator Index loading Index coefficient
GDI CEI GDI CEI
Population density −0.809 0.047 −0.242 −0.040
Distance to city hall 0.909 −0.044 0.273 0.049
Old-age dependency ratio 0.742 −0.192 0.212 −0.018
Migrant quota −0.225 0.860 −0.007 0.301
Household size 0.869 0.121 0.272 0.107
Unemployment quota −0.058 0.962 0.051 0.350
Benefits recipients quota 0.029 0.970 0.078 0.360
Motorization rate 0.781 −0.423 0.207 −0.100
  1. Index loading is based on a rotated component matrix (rotation method: Varimax with Kaiser normalization; bold numbers indicate high loading of indicator in index). Index coefficient was based on the component score coefficient matrix (coefficients by which indicators were multiplied to build GDI and CEI). PCA principal component analysis, GDI geodemographic index, CEI cultureeconomic index