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Table 4 Corresponding values of social deprivation

From: Investigating the relationship between social deprivation and health outcomes in China: using spatial regression analysis approach

District

SDEntropy

SDCV

SDCRITIC

SDPCA

Beijing

0.170

0.179

0.268

5.195

Tianjin

0.145

0.181

0.334

7.499

Hebei

0.195

0.234

0.389

11.791

Shanxi

0.347

0.364

0.477

16.205

Inner Mongolia

0.396

0.418

0.542

18.098

Liaoning

0.317

0.360

0.578

15.118

Jilin

0.272

0.311

0.517

13.987

Heilongjiang

0.309

0.347

0.559

14.807

Shanghai

0.171

0.197

0.341

6.102

Jiangsu

0.146

0.18

0.306

8.58

Zhejiang

0.219

0.241

0.344

10.109

Anhui

0.222

0.262

0.391

13.236

Fujian

0.204

0.247

0.393

11.476

Jiangxi

0.166

0.206

0.321

11.494

Shandong

0.195

0.235

0.379

11.879

Henan

0.19

0.225

0.348

11.60

Hubei

0.179

0.225

0.391

11.045

Hunan

0.201

0.244

0.396

12.493

Guangdong

0.188

0.228

0.387

9.463

Guangxi

0.223

0.271

0.428

13.979

Hainan

0.273

0.318

0.462

15.616

Chongqing

0.207

0.266

0.498

11.345

Sichuan

0.287

0.343

0.541

16.016

Guizhou

0.325

0.363

0.492

16.901

Yunnan

0.327

0.368

0.513

17.111

Tibet

0.914

0.882

0.736

37.645

Shaanxi

0.255

0.289

0.435

12.575

Gansu

0.374

0.406

0.545

18.577

Qinghai

0.452

0.459

0.500

21.09

Ningxia

0.197

0.238

0.383

11.087

Xinjiang

0.183

0.227

0.385

11.739

  1. SDEntropy, SDCV, SDCRITIC and SDPCA are the social deprivation estimated by Entropy method, Coefficient variation method(CV), Criteria importance though intercrieria correlation(CRITIC) and principle component analysis (PCA)