Table 3.

Contributing factors of socio-economic inequality in modern contraceptive utilization in Sub-Sharan Africa

Variables	Category	Coefficient	Elasticity	Concentration index	Absolute contribution	% Contribution
Regions of SSA	East
	Central*	−0.1355	−0.0808	−0.0094	0.0008	1.01
	south *	0.0425	0.0385	−0.0024	−0.0001	−0.13
	West *	−0.0980	− 0.1521	− 0.0042	0.0006	0.76
Subtotal					0.0013	1.64
Age	15–19
	20–24*	0.1445	0.1061	0.0270	0.0029	3.67
	25–29*	0.1714	0.1201	0.0208	0.0025	3.16
	30–34*	0.1794	0.1029	0.0043	0.0004	0.50
	35–39*	0.1747	0.0853	−0.0185	−0.0016	−2.03
	40–44*	0.1432	0.0513	−0.0409	− 0.0021	−2.66
	45–49*	0.0641	0.0188	−0.0647	−0.0012	−1.52
Subtotal					0.0009	1.12
Residence	Urban
	Rural *	−0.0113	−0.0269	−0.7101	0.0191	24.17
Currently working	No
	Yes *	0.0195	0.1257	−0.0514	−0.0065	−8.22
Marital status	Single
	Married*	0.0310	0.0784	−0.1512	−0.0119	−15.06
	Divorced/widowed*	0.0232	0.0081	−0.0443	−0.0004	− 0.51
Sub total					−0.0123	−15.57
Educational level	no education
	Primary *	0.0488	0.0335	−0.1822	−0.0061	−7.72
	Secondary*	0.0257	0.0189	0.1517	0.0029	3.67
	Higher *	0.0220	0.0046	0.5228	0.0024	3.04
Sub total					−0.0008	−1.01
Sex of household head	Male
	Female*	−0.0052	−0.0057	0.0239	−0.0001	− 0.13
Mass media exposure	No
	Yes *	0.0322	0.0903	0.4677	0.0422	53.45
Distance of health facility	Not big problem
	Big problem*	−0.0177	−0.0266	−0.3954	0.011	13.92
Decision on maternal health	Respondent
	Both *	−0.0117	−0.0107	−0.0070	0.0001	0.13
	Husband alone*	−0.0521	−0.1392	0.0058	−0.0008	−1.01
Sub total					−0.0007	−0.88
Wealth index	Poorest
	Poorer *	0.0203	0.0150	−0.5725	−0.0086	−10.89
	Middle *	0.0295	0.0227	−0.1110	−0.0025	−3.16
	Richer *	0.0370	0.0311	0.3962	0.0123	15.57
	Richest *	0.0248	0.0237	0.824	0.0195	24.72
Sub total					0.0249	26.24

* = p value< 0.05