EU 10.25
· European ranking
15 / 31
Down 2 positions compared with previous year
Slovakia: Housing & Utility Bill Arrears
An editorial snapshot of country living conditions with trend, regional spread, and context links.
Latest value
· 2024
8.40% of people
EU 10.25 · -1.8 pp vs Europe
What this indicator measures
Measures the share of people living in households with arrears on mortgage or rent payments, utility bills, or hire-purchase instalments.
Lower values generally represent a more favorable situation.
Data source: Eurostat Arrears on housing or utility bills ILC_MDES05
Explore this indicator
Regional map
· 2024 · 4 regions
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Internal regions
Comparison of values across the country's regions for this indicator.
-
1+77.38
14.90
-
2-5.95
7.90
-
3-38.10
5.20
-
4-65.48
2.90
More context on this indicator
At a glance
Slovakia performs more favourably than the European benchmark on Arrears on housing or utility bills, with a moderate gap. The trend context points to confirmed improvement. The wider topic context is mixed, combining pressure signals and relative strengths. Regional evidence also shows internal variation.
European comparison in Slovakia
In Slovakia, Arrears on bills is noticeably better than the European benchmark: 8.4% versus 10.2% in 2024, with a gap of 1.8 percentage points.
Recent trend
In Slovakia, the medium-term pattern shows improvement: the value moved from 10.20% in 2019 to 8.40% in 2024. The latest step, from 8.80% in 2023 to 8.40% in 2024, confirms the improvement. The recent signal has similar intensity to the primary one.
Regional differences in Slovakia
In Slovakia, regional differences in Arrears on bills are pronounced. Across 4 comparable regions, Eastern Slovakia records the highest value (14.9%) and Bratislava Region the lowest (2.9%), a gap of 12 percentage points.
Reading within the topic
In Slovakia, Housing & Energy Stress shows a mixed picture: pressure signals and relative strengths coexist across this indicator and its related indicators compared with Europe. Material recent changes among related indicators lean towards improvement.