Society — Luxembourg

Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile in Luxembourg

Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile in Luxembourg: latest value 3.3 % as of 2025.

Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile in Luxembourg — official series from Eurostat. The chart shows dynamics over the available observation period; values are shown in %.

Observation period: 2014–2025, published annually. Source — Eurostat.

Frequency

Annual.

Latest values

This indicator in other countries

• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Austria
• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Bulgaria
• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Finland
• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Portugal
• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Slovakia
• Persons who cannot afford to replace worn-out clothes by some new (not second-hand) ones by employment status and income quintile — Sweden

More in “Society” — Luxembourg

• Purchasing power adjusted GDP per capita
• Vaccination against influenza of population aged 65 and over
• Gross value added in environmental goods and services sector
• General government gross debt
• Graduates in tertiary education by age groups - per 1000 of population aged 20-29
• Graduates in tertiary education, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 20-29
• Graduates at doctoral level by sex and age groups - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Gender employment gap, by type of employment
• Government support to agricultural research and development

Data source

Eurostat. Units: %. Observation period: 2014–2025.

Data for 2025

Open the series on the Евростат website

Russia

Russian macro indicators — on the home page and in comparison.