Census Microdata and Surveys | DataSupplier
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Census microdata and surveys

DataSupplier·12 min read

Beyond published tables, census microdata and surveys offer record-level insight for research, under strict privacy controls. This guide covers sourcing them responsibly.

Available across the EU. DataSupplier sources and delivers this data in all 27 European Union countries — including Germany, France, Spain, Italy, the Netherlands and Poland — and across the EEA, in the format and cadence you need.

What microdata offers

Microdata, anonymised individual or household records, lets researchers model relationships that aggregate tables cannot show. Official surveys add depth on income, health, labour and more.

The data landscape

  • Census microdata: anonymised samples.
  • Official surveys: labour, income, health and living conditions.
  • Longitudinal: panels over time.

Privacy controls

Because microdata is sensitive, access is controlled: anonymised public-use files, or secure research environments for richer data. Re-identification controls are central, and use is governed.

Common use cases

Social and economic research, policy modelling, market and demographic analysis, and calibration of other datasets.

Sourcing considerations

Access conditions, anonymisation and approvals vary by provider. Provenance and documentation matter, and combining with other data must respect anonymity.

In a managed model

A managed partner can navigate access conditions and source anonymised microdata and survey data responsibly.

Controlled access by design

Microdata, anonymised individual or household records, lets researchers model relationships that aggregate tables cannot reveal. Because it is sensitive, access is controlled: anonymised public-use files for lighter needs, or secure research environments for richer data, with re-identification controls throughout. Understanding which access tier a dataset sits in shapes what you can do with it.

Uses and safeguards

Census microdata and official surveys (EU-SILC, the Labour Force Survey and others) support social and economic research, policy modelling and calibration of other datasets. Combining microdata with other sources must respect anonymity, and provenance and access conditions should be documented.

Key takeaways
  • Microdata enables record-level modelling beyond aggregate tables.
  • Access is controlled: public-use files or secure research environments.
  • Re-identification controls are central.
  • Respect anonymity when combining with other data.

Sources & further reading

  • Eurostat: microdata access and EU surveys (EU-SILC, LFS).
  • National statistical institutes: microdata services.
  • IPUMS and census microdata initiatives.
  • EUR-Lex: Regulation (EU) 2016/679 (GDPR).
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