The Scientific World Journal / 2013 / Article / Tab 1

Research Article

Correlates of and Barriers to the Utilization of Health Services for Delivery in South Asia and Sub-Saharan Africa

Table 1

Percentage distribution of the study population by country.

VariablesKenyaNigeriaTanzaniaBangladeshIndiaPakistan

Sample size3,36517,0254,5104,81136,1155,655
Place of residence
 Rural74.273.380.064.660.565.0
 Urban25.826.720.035.439.535.0
Wife’s education
 None19.950.924.725.438.266.5
 Primary55.422.162.730.514.213.8
 Secondary+24.727.112.644.147.619.6
Husband’s education
 None15.241.417.531.722.636.5
 Primary47.520.767.428.314.416.2
 Secondary+37.337.815.040.063.147.3
Women’s work
 Not working44.935.217.976.071.076.1
 Working55.164.882.124.029.023.9
Final say on own health care
 No30.359.343.639.135.9
 Yes69.740.756.460.964.1
Wealth index
 Poorest26.526.718.519.116.622.4
 Poorer16.923.621.619.917.521.6
 Middle16.419.120.518.520.119.6
 Richer16.816.621.719.222.118.6
 Richest23.414.017.623.423.717.9
Media exposure
 Low70.475.981.183.369.0
 High29.624.118.916.731.0
Age
 <3057.752.251.573.570.252.9
 30–3934.435.736.223.326.937.7
 40+7.912.212.43.22.99.4
Birth parity
 1-237.831.633.157.957.735.3
 3-431.529.030.128.327.428.4
 5+30.739.536.813.914.936.2

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