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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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Income share of the bottom 40 % of the population (sdg_10_50)

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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

ESS (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 < 3 data points

Short metadata
Full metadata

The indicator measures the income share received by the bottom 40 % of the population. The income concept used is the total disposable household income.

4 June 2024
Not Applicable
Not Applicable
Not Applicable

Calendar year

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.

 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: According to the Regulation (EC) 1982/2003 on sampling and tracing rules, for all components of EU-SILC (whether survey or register based), the cross-sectional and longitudinal (initial sample) data were to be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. The sampling frame and methods of sample selection ensured that every individual and household in the target population was assigned a known and non-zero probability of selection.

 Regulation (EC) 1177/2003 defined the minimum effective sample sizes to be achieved, i.e. the actual sample sizes had to be larger to the extent that the design effect exceeds 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size referred to the number of valid households which were households for which, and for all members of which, all or nearly all the required information had been obtained. The allocation of the effective sample size was done according to the size of the country and ensuring minimum precision criteria for the key indicator at national level (absolute precision of the at-risk-of-poverty rate of 1%).

% of income

Not Applicable