Methods: This paper utilizes the data from the International Survey of Child Well-Being. This study focuses on the sample of over 13000 12 years old from 12 countries grouped by the regions of the world. The analysis will be based on the items available in Child Material Deprivation Index. Latent class analysis and multinominal logistic regression will be utilized to explore the patterns of material deprivation.
Results: Findings suggest five patterns of child material deprivation including extreme, high, moderate transportation, modest housing/cell phone and no deprivation classes. Children who belong to the class with Housing and Mobile Deprivation are 21 times more likely (95% CI 15.7-28.7) to come from MENA region compared with children in No/Minimal Deprivation class. Children who belong to Transportation Deprivation class are 5.5 times more likely (95% CI 4-7) to come from of the sampled countries in Eastern Europe than children in No/Minimal Deprivation class. Children from High Deprivation (digital deprivation) class were 76 times more likely to be from one of the sampled African country (95% CI 50-115) comparing with children in No/Minimal Deprivation class.
Conclusion/Implications: This study suggests that the distribution of resources to eliminate poverty should be based not only on income based resources but include an assessment based on perceived deprivation scales, especially for the children. Taking into account that certain regions have their distinct profile of child material deprivation, it is fair to suggest that implementation of programs/policies that match regional needs is advisable to fulfill children’s rights otherwise violated by the deprivation facet of poverty.