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Table 5 Demographics among community and health facility deaths in the study countries

From: Using health facility deaths to estimate population causes of neonatal and child mortality in four African countries

Demographic factorCameroonMalawiNigerNigeria
Community deaths, NFacility deaths, Np*Community deaths, NFacility deaths, NpCommunity deaths, NFacility deaths, NpCom-munity deaths, NFacility deaths, Np
Neonates10955 144176 36885 524198 
Age less than 7 days67%80%0.04960%78%0.00160%90%< 0.00171%82%0.006
Age 7–27 days33%20%0.04940%22%0.00140%10%< 0.00129%18%0.006
Mother’s education (none)3%2%0.69018%11%0.07391%67%0.00463%24%< 0.001
Mother’s education (none/primary)71%64%0.41480%64%0.00197%90%0.06482%49%< 0.001
Child male60%56%0.68659%55%0.46957%62%0.54357%58%0.703
Lowest wealth quintile19%24%0.58431%22%0.08030%26%0.57634%14%< 0.001
Highest wealth quintile17%24%0.37513%24%0.01213%35%0.01411%42%< 0.001
Born in facility20%76%< 0.00145%87%< 0.00118%74%< 0.00117%87%< 0.001
ANC (formal)72%85%0.04090%96%0.03273%80%0.31251%84%< 0.001
Children453182 342349 504115 1610445 
Age 1–11 months42%38%0.37456%44%0.00645%42%0.74734%34%0.847
Age 12–23 months27%26%0.85023%24%0.68523%16%0.13127%29%0.611
Age 24–59 months31%36%0.24021%32%0.00432%41%0.20539%37%0.505
Mother’s education (none)5%3%0.26826%18%0.01189%90%0.92268%42%< 0.001
Mother’s education (none/primary)77%72%0.29877%77%0.91694%94%0.92083%67%< 0.001
Child male47%53%0.26148%48%0.95549%49%0.97151%52%0.641
Lowest wealth quintile30%19%0.00629%24%0.11127%19%0.05522%14%< 0.001
Highest wealth quintile19%23%0.31318%21%0.21815%36%0.00313%32%< 0.001
Born in facility25%42%< 0.00170%82%0.00123%41%0.01120%49%< 0.001
  1. *Significance determined by Rao-Scott chi-square