Society — Hungary

Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys in Hungary

Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys in Hungary: latest value 33 % as of 2025.

Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys in Hungary — official series from Eurostat. The chart shows dynamics over the available observation period; values are shown in %.

Observation period: 2005–2025, published annually. Source — Eurostat.

Frequency

Annual.

Latest values

This indicator in other countries

• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Austria
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Belgium
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Bulgaria
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Croatia
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Cyprus
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Czechia
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Denmark
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Estonia
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Finland
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — France
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Germany
• Relative at risk of poverty gap by poverty threshold - EU-SILC and ECHP surveys — Greece

More in “Society” — Hungary

• Purchasing power adjusted GDP per capita
• Vaccination against influenza of population aged 65 and over
• 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: 2005–2025.

Data for 2025

Open the series on the Eurostat website

Russia

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