In single deprivation analysis, children's well-being is evaluated using one dimension or indicator of deprivation at a time. This helps identify particular problem areas as well as those that are performing relatively well. It also shows the variation in deprivation incidence by household characteristics.
I. SINGLE DEPRIVATION ANALYSIS
Deprivation incidence by indicator and dimension
The figures below show the deprivation incidence for each dimension and indicator. It is the proportion of children deprived in each dimension or indicator as a percentage of all the children in a given age group. Children are considered deprived in a particular dimension if they are deprived in at least one of the dimension's indicators.
1. For a detailed description of each of the indicators and dimensions, see EU-MODA Technical Note.
2. Children with missing values on any indicator are excluded from all analyses for this age group. "Data availability (EU-MODA)" reports the percentage of children excluded from the study due to missing data separately for each age group and country.
3. Children under the age of three are excluded from the estimation of the deprivation headcount ratio for the Early Childhood Education and Care (ECEC) indicator. However, children under three are assumed to be non-deprived in the ECEC dimension. This explains the differences in the deprivation incidence for the ECEC indicator and the ECEC dimension.
Deprivation incidence by household characteristics
The figure below shows the deprivation incidence for each dimension among sub-groups of children with different household characteristics. For example, the deprivation headcount by degree of urbanization shows the proportion of children living in thinly populated areas deprived in a given dimension separately from the proportion of children living in densely populated (i.e. urban) areas deprived in this dimension. Statistically significant differences (at the 95% confidence level) indicate that children with particular household characteristics are substantially more or less likely to be deprived in a given dimension, i.e. deprivation status in this dimension and the selected profiling variable are not statistically independent. However, this cannot be interpreted as evidence of a causal relationship, but merely of an association.