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Table 3 Socio-economic determinants of completeness of death registration (logit) in China in 2018

From: Measuring the completeness of death registration in 2844 Chinese counties in 2018

 Model 1Model 2
OR (95% CI)POR (95% CI)P
Fixed effects
 Gender (ref: male)1 1 
  Female1.05 (0.99, 1.11)0.101.05 (0.99, 1.11)0.09
 Mean education years per capita1.31 (1.27, 1.36)< 0.011.30 (1.26, 1.35)< 0.01
 Log lag distribute income per capital ($)1.14 (1.08, 1.21)< 0.011.13 (1.07, 1.19)< 0.01
 Log population density (person per km2)1.04 (1.01, 1.07)< 0.011.03 (1.01, 1.06)0.02
 Proportion of ethnic minority population (%) (ref: 0–0.3)1 1 
  0.3–1.50.96 (0.89, 1.05)0.370.96 (0.89, 1.04)0.34
  1.5–13.10.92 (0.84, 1.01)0.090.91 (0.83, 1.01)0.07
  13.1–99.80.66 (0.59, 0.75)< 0.010.66 (0.59, 0.74)< 0.01
 DSP (ref: yes)  1 
  No  0.60 (0.57, 0.64)< 0.01
 HAQ Index  1.04 (1.01, 1.07)0.01
Random effects
 Province-level variance (SE)0.617 (0.162) 0.519 (0.139) 
 MRR (provinces)2.12 1.99 
 PCV (provinces) (%)44.14 53.05 
 County-level variance (SE)1.101 (0.021) 1.059 (0.02) 
 MRR (counties)2.72 2.67 
 PCV (counties) (%)13.39 16.68