Table 3 Idaho county subdivision social vulnerability component summary (the result of PCA).

From: Machine learning-enabled regional multi-hazards risk assessment considering social vulnerability

Component

Cardinality

Name

% Accumulated variance explained

Dominant variables

Component loading

1

+

Age

15.659

MEDAGE

0.842

QAGEDEP

0.909

QRENTER

− 0.653

QUNOCCHU

0.762

QCVLUN

0.672

QSSBEN

0.836

2

+

Ethnicity & education

26.356

QHISP

0.726

QSEL

0.832

QED12LES

0.813

QEXTRCT

0.633

3

Wealth

36.340

PERCAP

0.866

QRICH200K

0.677

MDGRENT

0.682

MHSEVAL

0.633

4

+

Race & social status

45.215

QNATAM

0.734

QFAM

− 0.636

QFHH

0.690

QPOVTY

0.678

5

+

Service employment

52.911

QPUNIT

0.639

QFEMLBR

0.819

QSERV

0.732

6

+

Nursing service & transportation

59.500

QNRRES

0.706

QNOAUTO

0.715

7

+

Race

65.417

QASIAN

0.691

QBLACK

0.706

8

+

Gender & mobility

70.251

QFEMALE

0.711

QMOHO

− 0.667