Table 6

Estimation results of Kruskal–Wallis and ANOVA difference tests

VariablesCluster 2 – Cluster 1Cluster 2 – Cluster 3Cluster 2 – Cluster 4Cluster 1 – Cluster 3Cluster 1 – Cluster 4Cluster 3 – Cluster 4Accept H0/Reject H0
POP14.067−24.688−68.307***−10,621−54.240***−43.619**Reject H0***
POPDEN11.54113.683−42.293***25.224−30.752**−55.976**Reject H0***
%AGE_1830−4.355−0.90313.954−5.2599.59914.857Accept H0
%AGE_314011.397−43.156**−1.370−31.759**10.02741.786**Accept H0
%AGE_4150−20.562**23.18828.022**2.6267.4604.833Accept H0
%AGE_51640.03131.452−12.64431.483−12.612−44.095**Accept H0
%AGE+64a0.680
SCa4.203***
ELEPa3.909***
%SEC5.43614.48962.249***19.925−56.813***−76.738***Reject H0***
%SUP6.78828.758−61.171***35.546−54.383***−89.929***Reject H0***
%GEN1.82821.677−28.465**23.506−26.637***−50.143**Reject H0**
%IMMI8.09918.763−5.66526.8622.433−24.429Accept H0
%SINGa1.091
%MARRa0.189
%WIDOW−2.80820.28535.025***17.477−37.833***−55.310***Reject H0***
%SEPA3.58518.145−27.307**21.730−23.722**−45.452**Reject H0**

Note(s): aThese statistics are ANOVA (F-Snedecor) test because these variables show a normal distribution, or it is a dichotomous variable

Sig. ***1% and **5%

Source(s): Authors' own elaboration from information of STATA17 software

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