Income inequality and poverty indicators
Why are these statistics needed?
Providing timelier social statistics – especially indicators on income poverty and inequality – is a priority for the Commission and the European Statistical System.
Why are they experimental?
Their experimental nature is mainly related to the methodology used for their production which is based on microsimulation and macro-economic models. These methods are not traditionally used in the calculation of social statistics indicators.
As with any other estimate, the indicators should be interpreted with caution – their accuracy depends on several factors. The flash estimates cannot perfectly capture changes in the EU-SILC estimates.
Although there are still limitations in the current methodology and its ability to replicate changes in EU-SILC, it can provide an early indication of the direction of change.
How are they produced?
The key income indicators for which flash estimates will be available are:
For further details, please consult our methodological note
Access to the statistics
Feedback
To help Eurostat improve these experimental statistics, users and researchers are kindly invited to give us their feedback by email:
- Would you have comments or suggestions for improvements of the methods applied for this flash estimate exercise?
- Are there any other factors Eurostat should consider?
- What other indicators or breakdowns could be useful as early warnings on trends in income distribution and poverty?
- Are there other indicators Eurostat should analyse for policy purposes?
- Could the uncertainty interval be further improved? Would point estimates be desirable in the future?
Archive
2021 data
2020 data
- Methodological note
- COVID-19 labour effects across the income distribution
- Impact of COVID-19 on employment income - advanced estimates
- Main tables