Society — Slovenia
Arrears on utility bills in Slovenia
Latest value5.4 %
Date2025
Period2005–2025
Data sourceEurostat
Arrears on utility bills in Slovenia: latest value 5.4 % as of 2025.
Arrears on utility bills in Slovenia — 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 | 5.4 |
| 2024 | 6.7 |
| 2023 | 6.6 |
| 2022 | 6.5 |
| 2021 | 7.7 |
| 2020 | 9.4 |
| 2019 | 11.2 |
| 2018 | 12.5 |
| 2017 | 14.3 |
| 2016 | 15.9 |
| 2015 | 17.5 |
| 2014 | 20.3 |
| 2013 | 19.7 |
| 2012 | 19.3 |
| 2011 | 17.3 |
| 2010 | 18 |
| 2009 | 16.9 |
| 2008 | 14.2 |
| 2007 | 11.4 |
| 2006 | 11.3 |
| 2005 | 12.6 |
This indicator in other countries
- Arrears on utility bills — Austria
- Arrears on utility bills — Belgium
- Arrears on utility bills — Bulgaria
- Arrears on utility bills — Croatia
- Arrears on utility bills — Cyprus
- Arrears on utility bills — Czechia
- Arrears on utility bills — Denmark
- Arrears on utility bills — Estonia
- Arrears on utility bills — France
- Arrears on utility bills — Germany
- Arrears on utility bills — Italy
- Arrears on utility bills — Latvia
More in “Society” — Slovenia
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- Vaccination against influenza of population aged 65 and over
- 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
Data source
Eurostat. Units: %. Observation period: 2005–2025.
Data for 2025
Russia
Russian macro indicators — on the home page and in comparison.