Table 3 Logistic regression analyses of the differences in the willingness to get COVID-19 vaccination

 Female

0.918

0.535

0.700

1.204

0.884

0.451

0.642

1.218

 Male

1

–

–

–

1

–

–

–

 18-29

0.704

0.122

0.452

1.099

0.653

0.122

0.380

1.121

 30-39

0.504

0.001*

0.333

0.763

0.656

0.089

0.403

1.067

 40-49

0.463

< 0.001*

0.316

0.680

0.626

0.039*

0.401

0.976

 50-59

0.502

0.001*

0.331

0.761

0.613

0.048*

0.377

0.995

 60 or older

1

–

–

–

1

–

–

–

 Primary

1.018

0.916

0.726

1.429

0.902

0.646

0.581

1.401

 Secondary

0.604

0.003*

0.431

0.845

0.597

0.011*

0.401

0.888

 Higher

1

–

–

–

1

–

–

–

 Budapest (national capital)

0.973

0.896

0.641

1.474

0.831

0.562

0.445

1.553

 City (county capital)

0.541

0.003*

0.363

0.807

0.454

0.001*

0.282

0.731

 City (other)

0.621

0.008*

0.436

0.883

0.519

0.002*

0.344

0.783

 Village

1

–

–

–

1

–

–

–

 Central Hungary (HU1)

1.022

0.896

0.737

1.417

0.841

0.500

0.509

1.390

 Transdanubia (HU2)

0.788

0.155

0.567

1.094

0.768

0.179

0.522

1.129

 Great Plain and North (HU3)

1

–

–

–

1

–

–

–

 Have no financial problems whatsoever

1.015

0.972

0.450

2.291

1.319

0.586

0.488

3.565

 Needs to schedule the expenses

0.916

0.823

0.425

1.976

1.131

0.797

0.442

2.892

 The monthly income is just enough

1.000

1.000

0.455

2.196

0.931

0.884

0.359

2.418

 Lives month by month. Lacks adequate income

0.723

0.462

0.305

1.713

0.556

0.272

0.195

1.585

 Lives in hardship

1

–

–

–

1

–

–

–

 Yes

12.009

< 0.001*

7.856

18.358

12.857

< 0.001*

8.161

20.254

 No

1

–

–

–

1

–

–

–