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Table 3 Scores of basic medical and health services of provinces (municipalities, autonomous regions) in China (2012–2019)

From: Unveiling spatial disparities in basic medical and health services: insights from China’s provincial analysis

Region

Province

2012

2013

2014

2015

2016

2017

2018

2019

Provincial average score in 2012–2019

Regional average score in 2012–2019

Northeastern China

Heilongjiang

0.3997

0.4163

0.3951

0.3577

0.3338

0.3367

0.3048

0.3227

0.3584

0.3528

Jilin

0.3954

0.3804

0.3483

0.3432

0.3537

0.3527

0.3424

0.3683

0.3606

Liaoning

0.3764

0.3832

0.3549

0.3120

0.3250

0.3369

0.3030

0.3241

0.3394

Eastern China

Beijing

0.5215

0.5277

0.5142

0.4896

0.4663

0.4501

0.3902

0.4365

0.4745

0.4162

Fujian

0.4022

0.4219

0.4340

0.4147

0.3749

0.3924

0.3481

0.3653

0.3942

Guangdong

0.4698

0.4730

0.4895

0.4911

0.4908

0.5114

0.4564

0.4912

0.4842

Hainan

0.3844

0.3546

0.3773

0.3605

0.3296

0.3590

0.3176

0.3433

0.3533

Hebei

0.3682

0.3872

0.4169

0.3989

0.3688

0.3997

0.3758

0.4110

0.3908

Jiangsu

0.4429

0.4416

0.4529

0.4358

0.4394

0.4426

0.4202

0.4421

0.4397

Shandong

0.4410

0.4687

0.4497

0.4351

0.4220

0.4511

0.4078

0.4404

0.4395

 

Shanghai

0.3898

0.3995

0.3802

0.3828

0.3736

0.3823

0.3282

0.3566

0.3741

 

Tianjin

0.3250

0.3224

0.3175

0.3190

0.3389

0.3603

0.3199

0.3405

0.3304

 

Zhejiang

0.4641

0.4831

0.5096

0.5061

0.4896

0.5046

0.4343

0.4631

0.4818

Central China

Anhui

0.3469

0.3709

0.3812

0.3605

0.3455

0.3584

0.3325

0.3607

0.3571

0.3708

Henan

0.3646

0.4010

0.3946

0.3841

0.3652

0.3780

0.3485

0.3726

0.3761

Hubei

0.3369

0.3490

0.3463

0.3652

0.3313

0.3349

0.2819

0.3052

0.3313

Hunan

0.3874

0.4217

0.4396

0.4327

0.3962

0.4213

0.3610

0.3832

0.4054

Jiangxi

0.3597

0.3456

0.3669

0.3475

0.3410

0.3780

0.3399

0.3785

0.3571

Shanxi

0.4606

0.4351

0.4222

0.3955

0.3779

0.3843

0.3366

0.3684

0.3976

Western China

Gansu

0.4430

0.4573

0.5052

0.4974

0.5374

0.4789

0.4247

0.4406

0.4730

0.4058

Guangxi

0.3477

0.3607

0.3965

0.3902

0.3823

0.3924

0.3547

0.3713

0.3745

Guizhou

0.3075

0.3483

0.3768

0.3553

0.3295

0.3404

0.3097

0.3305

0.3372

Inner Mongolia

0.4350

0.4688

0.4757

0.4554

0.4281

0.4560

0.3919

0.4428

0.4442

Ningxia

0.4323

0.4473

0.4795

0.4364

0.4518

0.4274

0.4459

0.4041

0.4406

Qinghai

0.4066

0.4123

0.4631

0.4679

0.3803

0.4505

0.5115

0.4968

0.4486

Shaanxi

0.3807

0.4333

0.4226

0.4027

0.3910

0.3788

0.3234

0.3571

0.3862

Sichuan

0.4107

0.4624

0.4589

0.4337

0.4175

0.4213

0.3698

0.4012

0.4219

Tibet

0.4542

0.4329

0.4453

0.4631

0.4005

0.4422

0.4159

0.4669

0.4401

Xinjiang

0.4763

0.4698

0.4776

0.4547

0.4444

0.4276

0.3656

0.3792

0.4369

Yunnan

0.3253

0.3695

0.3781

0.3591

0.3395

0.3608

0.3114

0.3498

0.3492

Chongqing

0.3257

0.3181

0.3300

0.3212

0.3133

0.3162

0.2937

0.3172

0.3169

  1. Note This study employed the entropy method to calculate the scores of the basic medical and health service levels for each province in China and the four major regions from 2012 to 2019