Mortality - Poverty classification - Small-area analysis - Socioeconomic factors

The aim of the study was to create an index of socio-economic deprivation (SESDI) and to analyse correlation between SESDI and mortality data. The SESDI components were selected from the census data (2001) at enumeration district and district level. Two methods were used for creating the SESDI: 1/ a sum of Z-scores of specific components (INDEX1); and 2/ standardized score-average values of specific components were divided by a maximum value of the specific component at the corresponding geographical level (INDEX2). Pearson?s correlation coefficient was used for assessing the relationship between indices, and between indices and mortality data (SMR).