We have, for the first time, introduced an objective, statistics based model for deciding which schools merit inclusion in the DEIS Programme, so that all stakeholders can have confidence that we are targeting extra resources at those schools with the highest concentrated levels of disadvantage.
The key data sources used in the DEIS identification process are the DES Primary Online Database (POD) and Post-Primary Online (PPOD) Databases, and CSO data from the National Census of Population as represented in the Pobal HP Index for Small Areas which is a method of measuring the relative affluence or disadvantage of a particular geographical area. Variables used in the compilation of the HP Index include those related to demographic growth, dependency ratios, education levels, single parent rate, overcrowding, social class, occupation and unemployment rates. This data is combined with pupil data supplied by schools, anonymised and aggregated to small area, to provide information on the relative level of concentrated disadvantage present in the pupil cohort of individual schools.
A detailed document explaining the methodology used in the Identification process is available on the Department’s website at https://www.education.ie/en/Schools-Colleges/Services/DEIS-Delivering-Equality-of-Opportunity-in-Schools-/DEIS-Identification-Process.pdf.
An update of the identification model is currently underway. This will take account of updated school data as provided by schools for the current school year combined with the Pobal HP Index of Deprivation, based on CSO Small Area Population statistics derived from the 2016 National Census. It is envisaged that this process will be completed in the coming weeks.
Should this exercise reveal that any school, including the school referred to by the Deputy, which did not qualify for DEIS in 2017, meets the criteria applicable to schools with the highest concentration of disadvantage based on the updated information, then additional schools may be included, subject to available resources.