Society — Cyprus

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

Persons who cannot afford to replace worn-out furniture by income group and type of household in Cyprus: latest value 17.8 % as of 2025.

Persons who cannot afford to replace worn-out furniture by income group and type of household in Cyprus — 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 — Belgium
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Denmark
• Persons who cannot afford to replace worn-out furniture by income group and type of household — France
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Germany
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Greece
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Hungary
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Italy
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Latvia
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Lithuania
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Luxembourg
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Netherlands
• Persons who cannot afford to replace worn-out furniture by income group and type of household — Poland

More in “Society” — Cyprus

• Purchasing power adjusted GDP per capita
• 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
• Jobless households - children
• Children living in households with very low work intensity by educational attainment level of their parents (population aged 0 to 17 years) - EU 2020 strategy

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.