Society — Germany
Inability to face unexpected financial expenses in Germany
Latest value31.9 %
Date2025
Period2005–2025
Data sourceEurostat
Inability to face unexpected financial expenses in Germany: latest value 31.9 % as of 2025.
Inability to face unexpected financial expenses in Germany — 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 | 31.9 |
| 2024 | 32.2 |
| 2023 | 35 |
| 2022 | 33.9 |
| 2021 | 32.3 |
| 2020 | 37.6 |
| 2019 | 26 |
| 2018 | 28.1 |
| 2017 | 29.3 |
| 2016 | 30 |
| 2015 | 30.4 |
| 2014 | 32.6 |
| 2013 | 32.9 |
| 2012 | 33.4 |
| 2011 | 34.5 |
| 2010 | 33.7 |
| 2009 | 34.6 |
| 2008 | 34.9 |
| 2007 | 36.5 |
| 2006 | 41 |
| 2005 | 24.7 |
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 — Greece
- Inability to face unexpected financial expenses — Hungary
- Inability to face unexpected financial expenses — Ireland
More in “Society” — Germany
- 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
- Gender employment gap, by type of employment
- Government support to agricultural research and development
- Jobless households - children
Data source
Eurostat. Units: %. Observation period: 2005–2025.
Data for 2025
Russia
Russian macro indicators — on the home page and in comparison.