Society — Malta
Subjective poverty by tenure status in Malta
Latest value15 %
Date2025
Period2010–2025
Data sourceEurostat
Subjective poverty by tenure status in Malta: latest value 15 % as of 2025.
Subjective poverty by tenure status in Malta — official series from Eurostat. The chart shows dynamics over the available observation period; values are shown in %.
Observation period: 2010–2025, published annually. Source — Eurostat.
Frequency
Annual.
Latest values
| Period | % |
|---|---|
| 2025 | 15 |
| 2024 | 17.3 |
| 2023 | 16.6 |
| 2022 | 21.4 |
| 2021 | 15.4 |
| 2020 | 15.4 |
| 2019 | 12.3 |
| 2018 | 14.1 |
| 2017 | 16.1 |
| 2016 | 19.9 |
| 2015 | 21.6 |
| 2014 | 32.7 |
| 2013 | 37 |
| 2012 | 41.6 |
| 2011 | 38 |
| 2010 | 47.2 |
This indicator in other countries
- Subjective poverty by tenure status — Austria
- Subjective poverty by tenure status — Belgium
- Subjective poverty by tenure status — Bulgaria
- Subjective poverty by tenure status — Croatia
- Subjective poverty by tenure status — Cyprus
- Subjective poverty by tenure status — Czechia
- Subjective poverty by tenure status — Denmark
- Subjective poverty by tenure status — Estonia
- Subjective poverty by tenure status — Finland
- Subjective poverty by tenure status — France
- Subjective poverty by tenure status — Germany
- Subjective poverty by tenure status — Greece
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: 2010–2025.
Data for 2025
Russia
Russian macro indicators — on the home page and in comparison.