And third, child protection appears to contain information that is somewhat different from the 6 other dimensions among younger children. Overall then, deprivations do not all cluster together, some correlate more strongly with each other than others, and some individual deprivations correlate more strongly with household level measures (e.g. health among younger children in urban areas, information for younger children in rural areas). This means that further probing of the data is necessary to understand the determinants of individual deprivations in order to pin point whom to target and which interventions will have the highest chance of reducing deprivation rates. The slope in these graphs is steepest among younger children in urban areas suggesting that income is an important determinant of deprivations in urban areas, probably because services are actually available in urban areas if one has the ability to purchase them.