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Labour Market
Pernille Stender
+45 24 92 12 33

PSD@dst.dk

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Labour Market Account

The statistic is published i the statbank Labour market accounts.

Release calendar

The publication date appears in the release calendar. The date is confirmed in the weeks before.

Release calendar access

The Release Calendar can be accessed on our English website: Release Calendar.

User access

Statistics are always published at 08:00 a.m. on the date announced in the release calendar. No one outside Statistics Denmark has access to the statistics prior to publication.

News release

No separate News is published for this statistic.

Publications

No recent analyses/publications have been made.

On-line database

Tables with data on the population´s labour market status compiled in terms of full-time persons will be made accessible from Statistics Denmark´s database https://www.Statbank.dk.

  • AMR1: The population's attachment to the labour market (full-time people) by region, socioeconomic status, sex and age.
  • AMR2: The populatoin's attachment to the labour market (full-time people) by socioeconomic status, sex, age and ancesty.

Micro-data access

Researchers and other analysts from authorized research institutions can access the statistics' microdata through Statistics Denmark Research Scheme where data from AMR (AMR-TN) and the non-hourly standard AMR (AMR-UN) is provided.

Other

Microdata concerning the LMA and the AMR-UN (LMA without standardization of hours) are supplied annually to Statistics Denmark´s Customer Centre.

Confidentiality - policy

Data Confidentiality Policy at Statistics Denmark.

Confidentiality - data treatment

Data are published at a relatively aggregate level in http://www.Statbank.dk. Therefore it is assessed that no discretion of data is needed.

Documentation on methodology

Not relevant for these statistics.

Quality documentation

Documentation on quality management and quality assurance at Statistics Denmark is available in the form of common guidelines and manuals describing the principles and procedures for statistical production. These include descriptions of quality principles documentation requirements and standards for metadata. Relevant aspects are described in the other quality sections of this statistical documentation.