Table 2.

Principal component analysis of indices derived from open data (N = 53 administrative districts)

Name of index	Degree of urbanisation	Aggregated individual wealth	Variety of Opportunity
Settlement	0.81	− 0.43
Stud_p_school	0.80
Pop_dens	0.78	− 0.40	0.31
Teach_p_school	0.75		0.32
Debt_p_capita	0.73	− 0.39
Industrial_commercial	0.70	− 0.56
Long_unemployment	0.67
Agriculture	− 0.66	0.34
Public_expenses_welfare_capita	0.54
Youth	− 0.37
Public_expenses_school_capita	− 0.36
Turnout_regional		0.88
Turnout_national		0.87
Ratio_high_incomes		0.79
Income_p_capita		0.75
Unemployment	0.64	− 0.72
Ratio_high_low_income	− 0.41	0.71
Ratio_low_incomes	0.53	− 0.63	0.33
Ratio_immigrated	0.42	− 0.54	0.41
GDP_p_capita			0.84
Elder			− 0.77
Public_expenses_families_capita			0.70
Public_expenses_culture_capita	0.54		0.65
Stud_p_teach			− 0.56
Public_expenses_sport_capita		0.31	0.33

Standardised loadings based upon correlation matrix. Rotation method: varimax. Only loadings λ′ >|0.30|