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Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Relative median at-risk-of-poverty gap (sdg_10_30)

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Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the statistical office of the European Union

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Eurostat Quality Profile

Quality concept Rating
Source data

EU-SILC

Frequency of dissemination Every year
Timeliness T+1 year
Reference area All EU MS
Comparability - geographical All EU MS
Coverage - Time > 10 years
Comparability - over time > 4 data points

Short metadata
Full metadata

The indicator is calculated as the distance between the median equivalised total net income of persons below the at-risk-of-poverty threshold and the at-risk-of-poverty threshold itself, expressed as a percentage of the at-risk-of-poverty threshold. This threshold is set at 60 % of the national median equivalised disposable income of all people in a country and not for the EU as a whole.

The EU aggregate is a population weighted average of individual national figures. In line with decisions of the European Council, the risk-of-poverty rate is measured relative to the situation in each country rather than applying a common threshold to all countries.

4 June 2024
Not Applicable
Not Applicable
Not Applicable

Calendar year

From 2021 Regulation (EU) 2019/1700 foresees the requirements relating to geographical coverage, detailed sample characteristics, including subsampling, in accordance with Annex III, common data gathering periods, common standards for editing and imputation, weighting, estimation and variance estimation.

Before 2021 onwards EU-SILC is based on a common framework defined by harmonised lists of primary and secondary variables, common concepts, a recommended design, common requirements (such as imputation procedures, weighting, sampling errors calculation) and classifications aiming at maximising comparability of the information produced. Details can be found in the metadata of the source datasets.

% distance to poverty threshold

Not Applicable