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Documentation of statistics: Stock account for fish and shellfish

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Stock account for fish and shellfish 2025 , Previous versions, Stock account for fish and shellfish 2024, Stock account for fish and shellfish 2023, Stock account for fish and shellfish 2022, Stock account for fish and shellfish 2021, Stock account for fish and shellfish 2020, Stock account for fish and shellfish 2015, The stock account for fish and shellfish shows the development in the natural aquatic resources and in aquaculture. The accounts document the development in stocks, growth in stocks, catch/harvest of fish and shellfish for consumption and export of living fish as well as reduction in stocks., Statistical presentation, The stock account for fish and shellfish consist of a physical account for natural aquatic resources, as well as a physical and monetary account for aquaculture. These statistics act as a module in the Environmental-Economic Accounts for Denmark., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares resource accounts for fish and shellfish based on data and quotas and catches compiled by The Danish Fisheries Agency, information on fish stocks developed by International Council for the Exploration of the Sea (ICES), information on aquaculture compiled by The Danish Fisheries Agency., Read more about statistical processing, Relevance, Stock accounts for fish and shellfish are relevant for national authorities, scientific researchers, organizations, enterprises, the educational sector and anyone with an interest for aquatic resources. . The UN and similar organizations focus on environmental-economic accounts within the statistical framework called System of Environmental-Economical Accounting (SEEA). , Read more about relevance, Accuracy and reliability, The resource account for natural aquatic resources cover approximately 90 pct. of the Danish stock calculated based on the catch in 2021. The missing coverage can be explained by insufficient information on less important species. The resource account for aquaculture is assessed to cover 100 pct. of the Danish stock ad the fish farms are obliged to report to the authorities annually., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 12 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The methods and data sources for these statistics are unchanged throughout the period covered by published figures from 2010 and onwards. International comparison is possible with all other national resource accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank. In the StatBank, these statistics can be found under the subject , Natural resource accounts, . For further information, go to the subject page on , Environmental-Economic Accounting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stock-account-for-fish-and-shellfish

Documentation of statistics

Commodity groups in sales of food and beverages to food service, v1:2021

Name: , OEFSVAREGRP_V1_2021 , Description: , Commodity groups in sales of food and beverages to food service., Valid from: , January 1, 2021 , Office: , Fødevareerhverv , Contact: , Martin Lundø, , mlu@dst.dk, , ph. +45 51 46 15 12 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Commodity groups in sales of food and beverages to food service, v1:2021, January 1, 2021, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/oefsvaregrp

Documentation of statistics: Market Value for Households Real Estate

Contact info, Government Finances, Economic Statistics , Mathias Spindler Juhl Bundgaard , +45 29 36 68 25 , BUN@dst.dk , Get documentation of statistics as pdf, Market Value for Households Real Estate 2025 , Previous versions, Market Value for Households Real Estate 2024, Market Value for Households Real Estate 2023, Market Value for Households Real Estate 2022, Market Value for Households Real Estate 2021, Market Value for Households Real Estate 2020, Market Value for Households Real Estate 2019, Market Value for Households Real Estate 2018, Market Value for Households Real Estate 2017, Market Value for Households Real Estate 2016, Market Value for Households Real Estate 2015, This is the first publication of the households’ assets in real estate on individual level. The purpose is to follow the development of the households’ real estate. Sector delimitation of units in the sector of households is defined in European system of national accounts (ESA2010). From this it appears that sole proprietorships are a part of the households’ sector. Registers on individual level can be used for distribution analyses, e.g. in relation to income, financial liabilities or socioeconomic status., Statistical presentation, The statistics provides closing values for each year. The household’s real estate consisting of owner occupied dwellings and co-operative dwellings. All figures are reported in current prices. , Read more about statistical presentation, Statistical processing, Data from the various registers are merged through property identification and personal identification. There are made classifications, aggregations and calculation of the market value. For publication there is added relevant background information about the families., Read more about statistical processing, Relevance, The statistic has a lot of interested parties including ministries, politicians, organizations and the press.., Read more about relevance, Accuracy and reliability, The adjustment factor is the same within a geographic area, even though the actual sales value can vary a lot due to e.g. differences in the location of the owner-occupied dwellings (amenity), which are not reflected completely in the official real estate valuations. The preliminary year are dependent primarily on sales data for real estate. When the final year are calculated all of the sources are available. Experience from 2019 and 2020 shows that the preliminary year tends to underestimate the total market value of the final year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics i published with preliminary figures in march, 3 months after the reference date. Final figures is published a year later. One year and 3 months after the reference date., Read more about timeliness and punctuality, Comparability, The statistic is consistent over time. However, one must be aware that the figures are calculated at current prices. There is no knowledge of any individual based register of household wealth in real estate, which is comparable to the Danish. Figures for total household wealth in real estate are also published in the statistics concerning financial national accounts which is published in June and November., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home equity, , and the , subject page, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/market-value-for-households-real-estate

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010

Name: , DISCO_08_V1_2010 , Description: , DISCO-08 is a six-digit, five-level classification for classifying and aggregating information about job functions in statistical studies. The classification is a revised version of the 1988 occupational classification (DISCO-88) which it replaces., The classification is a tool for organizing jobs or occupational functions in clearly defined groups, in relation to the tasks performed in the job or occupation. The use of DISCO-08 makes it possible to compare people with the same job function - regardless of the employee's formal title and education., DISCO-08 is the official Danish version of the international professional classification, , International Standard Classification of Occupations (ISCO-08), , which is prepared by the International Labor Organization (ILO)., Compared to ISCO-08, Denmark has chosen to extend the classification from four to five levels, in order to meet the needs for further division of labour functions in the Danish labor market. The extension means that the labour functions of DISCO-08 - in the most detailed form - are divided into 563 groups, against ISCO-08's 439 subgroups., Valid from: , January 1, 2010 , Office: , Arbejde og Indkomst , Contact: , Sam Blanch, , slb@dst.dk, , ph. +45 23 63 60 44 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010, January 1, 2010, Still valid, Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996, January 1, 1996, December 31, 2009

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco

Documentation of statistics: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2026 , Previous versions, Holiday houses 2025, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2026

Name: , DISCED15_AUDD_HOVED_V1_2026 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd

Documentation of statistics: Cattle

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Cattle 2026 , Previous versions, Cattle 2025, Cattle 2024, Cattle 2023, Cattle 2022, Cattle 2021, Cattle 2020, Cattle 2019, Cattle 2018, Cattle 2017, Cattle 2016, Cattle 2015, Cattle 2014, The purpose of these statistics is to describe the stock of cattle in Denmark. The statistics are i.e. used for forecasts of future slaughtering of cattle. The cattle stock have been estimated since 1946, but these statistics are in its current form comparable from 2008 and onwards., Statistical presentation, These statistics are a quarterly measurement of the total number of cattle in Denmark. The number of cattle are divided into groups of bulls and steers, heifers and cows, based on information collected from administrative registers. The cattle stock is also divided by geographic province., Read more about statistical presentation, Statistical processing, Information is collected from two registers: the Central Register of Livestock and the Register of Cattle. In the Central Register of Livestock every single animal is registered with an individual number, birthday and sex and so on. These data are linked with data from the Register of Cattle about whether the heifers are with calf or not. When all data are validated, they are grouped by type, age and geography., Read more about statistical processing, Relevance, The cattle survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of cattle surveys are to provide a basis base for forecasts of cattle for slaughter. The statistics are used in financially and environment studies. , There are no examination of the uses satisfaction, but the impression is, that most users are satisfied with the statistics., Read more about relevance, Accuracy and reliability, The reliability of the variables for cattle is considered to be good. The information about cattle comes from the Danish Veterinary and Food Administration's database, the Central Livestock Register (CHR) and the cattle database owned by SEGES. There is a large control of data in these registers, as it is mandatory that all cattle must be registered in CHR, Read more about accuracy and reliability, Timeliness and punctuality, The survey results are published quarterly, about 3 weeks after the survey day. The punctuality is high, with delays happening very rarely., Read more about timeliness and punctuality, Comparability, The survey is comparable from 2008 onwards, and there is a high degree of comparability with previous surveys. Furthermore there is high degree of comparability with other European countries, especially the EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the Statbank table , KVAEG5, . For further information, see the subject page for , Farms with livestock, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cattle

Documentation of statistics

Documentation of statistics: Key Figures for Municipalities Accounts

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 40 22 58 23 , JFJ@dst.dk , Get documentation of statistics as pdf, Key Figures for Municipalities Accounts 2025 , Previous versions, Key Figures for Municipalities Accounts 2024, Key Figures for Municipalities Accounts 2023, Key Figures for Municipalities Accounts 2022, Key Figures for Municipalities Accounts 2021, Key Figures for Municipalities Accounts 2020, Key Figures for Municipalities Accounts 2019, Key Figures for Municipalities Accounts 2018, Key Figures for Municipalities Accounts 2017, Key Figures for Municipalities Accounts 2016, Indicators for Municipal Annual Accounts 2015, The purpose of these statistics is to present selected key figures from the annual accounts of the municipalities, which is of particular interest, in a way that makes it easy to compare across municipalities. Key figures are comparable since 2008. , The figures should be interpreted with caution due to varying accounting methods across municipalities as well as over time. Also, adjustments are made continuously to the municipal accounting system., Statistical presentation, These statistics contain 12 annual key indicators where accounting figures are compared with population figures in the individual municipalities. All key indicators are measured in DKK, both in current and fixed prices for all 98 Danish municipalities., Read more about statistical presentation, Statistical processing, The key figures are prepared by applying tables from the database StatBank Denmark and from figures for price- and pay adjustments from the Ministry for the Interior and Housing., Read more about statistical processing, Relevance, The key figures open up the possibility of making comparisons across municipalities. Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. Further information with regard to the figures underlying the key figures, including the detailed municipality accounts is available from the database StatBank Denmark. , Read more about relevance, Accuracy and reliability, Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. , Read more about accuracy and reliability, Timeliness and punctuality, The key figures are published in April., Read more about timeliness and punctuality, Comparability, Reference is made to the section on concepts and definitions with a view to assessing comparability among key figures. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Municipal accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/key-figures-for-municipalities-accounts

Documentation of statistics

Documentation of statistics: Municipal expenditures on social services

Contact info, Personal Finances and Welfare, Social Statistics , Jane Christensen , +45 20 58 42 40 , JNC@dst.dk , Get documentation of statistics as pdf, Municipal expenditures on social services 2025 , Previous versions, The purpose of the Municipal Expenditure on Social Services statistics is to provide information on the expenditure incurred for individual citizens receiving social services under selected provisions of the Danish Social Services Act. These services are granted by Denmark's 98 municipalities to adults with physical or mental disabilities and to vulnerable adults. The statistics are used for policy development, public debate and research. They are compiled annually and were first published in 2026, based on municipal accounting data for 2025., Statistical presentation, The statistics provide an annual account of individually attributable expenditure, where municipal expenditure and revenue relating to selected social services provided to adults with physical or mental disabilities and vulnerable adults under selected provisions of the Danish Social Services Act can be directly attributed to individual recipients. The statistics include information on expenditure and the number of recipients. Data are presented by municipality, type of social service and functional category. The statistics are published in the StatBank Denmark and in NYT article from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually through municipalities' financial management systems or via Statistics Denmark's web-based reporting solution (IDEP). Municipalities validate and approve the data each year. The reported data are first approved following submission and subsequently given final approval after reconciliation with the municipalities' accounting data., The data are compiled into two statistical registers covering all expenditure incurred for social services provided to adults with physical or mental disabilities and vulnerable adults under selected provisions of the Danish Social Services Act., Read more about statistical processing, Relevance, The statistics are relevant to researchers, journalists and public authorities in the social services sector, including ministries, government agencies and municipalities. They provide a basis for analyses and a better understanding of municipal individually attributable expenditure., Read more about relevance, Accuracy and reliability, Overall, the data underlying the statistics are assessed to result in an underestimation of municipal individually attributable expenditure. This should be seen in light of the fact that 2025 is the first reporting year and that the underlying data reporting practices are still being established within the municipalities. The main sources of uncertainty relate to differences in municipalities' methods for compiling the data and their accounting practices, as well as the risk of incomplete or missing reporting. The data are validated with a particular focus on extreme values, missing information and consistency with municipal accounting data. Prior to publication, municipalities review and approve the reported data and correct any identified errors or omissions., The accuracy and overall data quality of the statistics are expected to improve as municipalities further develop their practices for recording individually attributable expenditure, including the associated start and end dates, in their financial management systems. The opportunity for municipalities to review and compare their reported data is also expected to contribute to further improvements in data quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than six months after the end of the reference period. Releases are published according to the announced release schedule and without delay., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2026, based on accounting data for 2025., Read more about comparability, Accessibility and clarity, The statistics are disseminated through a , Nyt, fra Danmarks Statistik article authored by Statistics Denmark., The StatBank tables are published under the subject area Social Support Services. Further information is available on the Municipal Expenditure on Social Services , subject page, ., Tailor-made analyses based on the statistics are available through Statistics Denmark Consulting. Researchers and other authorised users may also access the underlying microdata through Denmark's Data Portal., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/municipal-expenditures-on-social-services

Documentation of statistics