The ICT education statistics make part of the domain ICT training, which in its term is one of the domains in the wider concept of Digital skills.
ICT education indicators are constructed using the secondary statistical approach. This approach has a virtue of ensuring cost-efficient and high-quality data production. At the same time, this approach has limited options for designing new indicators, as well as for control over data quality and over data release timing.
ICT education indicators are based on the microdata from the EU Labour Force Survey (EU-LFS). For this reason, the EU-LFS reference metadata need to be consulted for all questions related to the underlying primary source data.
Following the underlying EU-LFS microdata, the ICT education indicators set the lower bound on the age at 15 years. The upper age bound is set at 74 years to align these data with other indicator on digital skills derived from the Community Survey on ICT Usage in Households and by Individuals.
ICT education indicators are presented in four tables:
Employed and unemployed persons with ICT education (isoc_ski_itemp)
Employed persons with ICT education by sex (isoc_ski_itsex)
Employed persons with ICT education by educational attainment level (isoc_ski_itedu)
Employed persons with ICT education by age (isoc_ski_itage)
The first table (isoc_ski_itemp) describes persons with ICT education in labour force by their employment status. The rest of tables (isoc_ski_itsex, isoc_ski_itedu and isoc_ski_itage) present different breakdowns of the persons with ICT education in employment.
Each indicator is presented in the country/year dimensions and is measured in absolute (in 1000s) and relative (in %) terms.
Data cover all years starting from 2004 until the latest year available. Following the release practice of the EU-LFS, the publication year is calculated as (Y+1), with Y being the reference year. Yearly data release depends on the EU-LFS release practice and normally takes place in April-May. Data for all indicators are regularly updated and revised to incorporate the latest revisions made in the source data, usually once a week.