Society — Malta

Persons who cannot afford to replace worn-out furniture by income group and type of household in Malta

Persons who cannot afford to replace worn-out furniture by income group and type of household in Malta: latest value 9.5 % as of 2025.

Persons who cannot afford to replace worn-out furniture by income group and type of household in Malta — 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 furniture by income group and type of household — Bulgaria
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Croatia
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Estonia
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Finland
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Ireland
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Romania
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Slovakia
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Slovenia
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Sweden
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Norway
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Türkiye

More in “Society” — Malta

• Purchasing power adjusted GDP per capita
• Gross value added in environmental goods and services sector
• General government gross debt
• Health graduates
• 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.