Society — Malta
Inability to face unexpected financial expenses in Malta
Latest value18.7 %
Date2025
Period2005–2025
Data sourceEurostat
Inability to face unexpected financial expenses in Malta: latest value 18.7 % as of 2025.
Inability to face unexpected financial expenses in Malta — 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
| Period | % |
|---|---|
| 2025 | 18.7 |
| 2024 | 18.3 |
| 2023 | 15.9 |
| 2022 | 15.4 |
| 2021 | 15.7 |
| 2020 | 16.3 |
| 2019 | 15.1 |
| 2018 | 13.9 |
| 2017 | 15.6 |
| 2016 | 20.8 |
| 2015 | 21.4 |
| 2014 | 24.6 |
| 2013 | 23 |
| 2012 | 25 |
| 2011 | 27.2 |
| 2010 | 28.2 |
| 2009 | 29.4 |
| 2008 | 32.8 |
| 2007 | 33.7 |
| 2006 | 32 |
| 2005 | 33.8 |
This indicator in other countries
- Inability to face unexpected financial expenses — Austria
- Inability to face unexpected financial expenses — Belgium
- Inability to face unexpected financial expenses — Bulgaria
- Inability to face unexpected financial expenses — Croatia
- Inability to face unexpected financial expenses — Cyprus
- Inability to face unexpected financial expenses — Czechia
- Inability to face unexpected financial expenses — Denmark
- Inability to face unexpected financial expenses — Estonia
- Inability to face unexpected financial expenses — France
- Inability to face unexpected financial expenses — Germany
- Inability to face unexpected financial expenses — Greece
- Inability to face unexpected financial expenses — Hungary
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: 2005–2025.
Data for 2025
Russia
Russian macro indicators — on the home page and in comparison.