Flash Eurobarometer 534 (Demographic Change in Europe)

Demographic change in Europe.<br>Topics: most pressing demographic challenges in the own country; most important threats to the EU’s economic prosperity and competitiveness; attitude towards the following statements about the current demographic trends in the EU: contribute to labour shortages, contribute to skills mismatches, put the EU´s long-term economic prosperity and competitiveness at risk, undermine long-term sustainability of public finances, intensify differences between and within EU member states, affect personal prospects and future possibilities; preferred level of action to manage demographic change: EU level, member state level, both levels, measures to manage demographic change should not be a political priority; attitude towards the following statement: managing demographic change requires close cooperation between all relevant levels of government; most effective actions to address the consequences of a shrinking workforce in the own country: facilitate the combination of paid work and private life, facilitate longer working lives, reform pensions systems, facilitate labour mobility and migration to attract talent from abroad, address youth unemployment, support regions affected by depopulation, other; preferred governmental actions in the own country to enable the current and future generations to lead an active life in old age: support lifelong education and training, adjust workplace conditions to the needs of older persons, allow people to continue working past the official retirement age if they want to, make sure pensions are high enough, provide high-quality and affordable health care services, provide high-quality and affordable long-term care services, provide adequate and affordable housing, other; attitude towards the following statement: digital technologies, robotics and artificial intelligence can help address the consequences of a shrinking and ageing population, including possible labour shortages.

Demography: age; sex; nationality; financial difficulties; age at end of education; occupation; professional position; type of community; household composition and household size; own a mobile phone and fixed (landline) phone.

Additionally coded was: respondent ID; country; type of phone line; region; nation group; weighting factor.