Accessibility and clarity

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

These statistics are published biannual in a Danish press release.

Publications

Annual figures are included in Statistical Yearbook.

Old data are included in yearly publication Landbrug (methodological text is only in Danish) and Landbrugsstatistik 1900-1965.

On-line database

The statistics are published in the StatBank under the subject in the following tables:

• ANI41: Slaughterings and production of cattle by category, unit and time (month)
• ANI51: Slaughterings and production of pigs by category, unit and time (month)
• ANI61: Slaughterings and production of poultry by category, unit and time (quarter)
• ANI5: Slaughterings and production of pigs by category, unit and time (year)
• ANI4: Slaughterings and production of cattle by category, unit and time (year)
• ANI6: Slaughterings and production of poultry by category, unit and time (year)
• ANI9: Slaughterings and export by category, unit and time (year)

Micro-data access

There is no micro-data access.

Other

Data for all EU countries can be found in Eurostat database.

Confidentiality - policy

Data Confidentiality Policy at Statistics Denmark.

Confidentiality - data treatment

Only statistics for the whole country and not for regions and parts of the country are published when the statistics are drawn up.

Documentation on methodology

See various passages in the yearly publication Agriculture (methodological text is in Danish only).

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.