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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
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BMC Health Services Research

ISSN: 1472-6963

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