Table 4. Contributing factors to the inequalities in accessing skilled birth attendance 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	-0.00012934	-0.06	-0.00000555	0.00	0.0001917	0.11
25–29	-0.00166078	-0.82	-0.00090915	-0.43	-0.00178453	-1.04
30–34	-0.00036906	-0.18	-0.00121641	-0.57	-0.00192369	-1.13
35–39	0.00078619	0.39	0.00317104	1.49	0.00020028	0.12
40–44	0.00152849	0.75	0.00035026	0.16	0.00257212	1.50
45–49	0.00115693	0.57	0.00094557	0.44	0.0006493	0.38
Wealth index (ref. Poorest)
Poor	-0.00595937	-2.92	-0.00322008	-1.51	-0.00872168	-5.10
Middle	0.00154018	0.76	0.00600514	2.82	0.00489164	2.86
Rich	0.0299022	14.68	0.04162191	19.53	0.0386004	22.58
Richest	0.09673098	47.47	0.08627494	40.49	0.07692481	44.99
Residence (ref. Rural)
Urban	0.05162925	25.34	0.03760916	17.65	0.01498128	8.76
Maternal education (ref. None)
Primary	0.01108826	5.44	0.00667273	3.13	-0.00093645	-0.55
Secondary	0.00847612	4.16	0.01717725	8.06	0.02674101	15.64
Higher	0.005952	2.92	0.00104373	0.49	0.00282463	1.65
Marital status (ref. without a spouse)
Living with spouse	0.0006767	0.33	0.00025813	0.12	0.00012659	0.07
Employment (ref. Not employed)
Employed	0.00088284	0.43	0.00787692	3.70	0.00694415	4.06
Region-effects	0.00035886	0.18	-0.00089657	-0.42	0.00400733	2.34
Residual	0.00116285	0.57	0.01032388	4.85	0.00467861	2.74