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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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Self-reported unmet need for medical examination and care by sex (sdg_03_60)

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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 > 4 data points

Short metadata
Full metadata

The indicator measures the share of the population aged 16 and over reporting unmet needs for medical care due to one of the following reasons: ‘Financial reasons’, ‘Waiting list’ and ‘Too far to travel’ (all three categories are cumulated). Self-reported unmet needs concern a person’s own assessment of whether he or she needed medical examination or treatment (dental care excluded), but did not have it or did not seek it.

The data stem from the EU Statistics on Income and Living Conditions (EU SILC).

Note on the interpretation: The indicator is derived from self-reported data so it is, to a certain extent, affected by respondents’ subjective perception as well as by their social and cultural background. Another factor playing a role is the different organisation of health care services, be that nationally or locally. All these factors should be taken into account when analysing the data and interpreting the results. 

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.

% of population aged 16 and over

Not Applicable