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. 2021 Feb 16;16(2):e0246995. doi: 10.1371/journal.pone.0246995

Table 3. Contributing factors to the inequalities in accessing institution delivery in Tanzania DHS, 2004–2016.

Variable 2004 2010 2016
Contribution Percentage Contribution Contribution Percentage Contribution Contribution Percentage Contribution
Maternal age (ref. 15–19)
 20–24 -0.00013773 -0.07 0.00008686 0.04 0.00017952 0.10
 25–29 -0.00186078 -0.95 -0.00087544 -0.42 -0.00165373 -0.95
 30–34 -0.00040123 -0.21 -0.00116987 -0.56 -0.00174259 -1.00
 35–39 0.00091594 0.47 0.00340514 1.62 0.00018299 0.10
 40–44 0.00193968 0.99 0.00037526 0.18 0.00235923 1.35
 45–49 0.00137132 0.70 0.00104978 0.50 0.00070268 0.40
Wealth index (ref. Poorest)
 Poor -0.00579961 -2.97 -0.0035634 -1.69 -0.00870222 -4.97
 Middle 0.00160743 0.82 0.00532474 2.53 0.00489504 2.80
 Rich 0.02826501 14.50 0.03996438 18.98 0.03899178 22.29
 Richest 0.09062864 46.49 0.08469064 40.22 0.07745086 44.28
Residence (ref. Rural)
 Urban 0.05168552 26.51 0.03880018 18.43 0.01717197 9.82
Maternal education (ref. None)
 Primary 0.01017321 5.22 0.00682989 3.24 -0.00098961 -0.57
 Secondary 0.00841181 4.31 0.01640126 7.79 0.02704991 15.46
 Higher 0.00575481 2.95 0.0010946 0.52 0.00305603 1.75
Marital status (ref. without a spouse)
 Living with spouse 0.00049764 0.26 0.00025359 0.12 0.0002194 0.13
Employment (ref. Not employed)
 Employed 0.00074625 0.38 0.00772848 3.67 0.00696007 3.98
Region-effects 0.00029422 0.15 -0.00090969 -0.43 0.00413894 2.37
Residual 0.00086737 0.44 0.0110658 5.26 0.00465383 2.66