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    Documentation of statistics: Rail Transport

    Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Rail Transport 2026 , Previous versions, Rail Transport 2025, Rail Transport 2024, Rail Transport 2023, Rail Transport 2022, Rail Transport 2021, Rail Transport 2020, Rail Transport 2019, Rail Transport 2018, Rail Transport 2017, Rail Transport 2016, Rail Transport 2015, Rail Transport 2014, Rail transport statistics covers transport of goods and passengers by rail, investments in rail infrastructure and vehicles, rail traffic and accidents. The statistics is used for policy work in the EU and is compliant with the EU-regulation on the topic which secures that it can be compared to other EU-countries. Furthermore it is used by others with interest in the railroad sector this includes government bodies., Statistical presentation, Rail transport statistics contains information passenger and goods transport on Danish rail network irrespective of the nationality of the operator on a quarterly basis. On a yearly basis the statistics contains information on railway infrastructure and rolling vehicle stock, investments in infrastructure and rolling vehicles, and rail accidents. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected through the online data collection portal, Virk.dk, quarterly from all rail operators with transport on the Danish rail network including private railways and light rail lines. Data are validated with regard to internal consistency in the report and the development in the time series on both micro (enterprise) and macro (aggregated statistics) level. No imputation (the statistics are only published when all data is collected), enumeration or seasonally adjustment are done., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, ministries and consultancies, and it is the impression that the statistics is of relevance to the users., The statistics are primarily used by EU for policy work but also other with interest on the subject uses it. This includes government bodies., Read more about relevance, Accuracy and reliability, Uncertainty is estimated to be relative small since data collection covers all enterprises operating trains on the Danish rail network., Only minor revisions are done to the first preliminary publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 73-74 days after the reference period., The statistics are always published at the pre-announced time., Read more about timeliness and punctuality, Comparability, Comparable time series for all EU-member states and EFTA-member states are published by Eurostat. , There is no significant breaks in the existing time series. The time series for personkilometres for the Metro has a minor break between 2016 and 2017 due to changes in methodology., Read more about comparability, Accessibility and clarity, The statistics are published yearly in Nyt fra Danmarks Statistik (Statistical news) , and all data is available in , StatBank Denmark, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rail-transport

    Documentation of statistics

    Documentation of statistics: Health care expenditures (SHA)

    Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Health care expenditures (SHA) 2025 , Previous versions, Health care expenditures (SHA) 2024, Health care expenditures (SHA) 2023, Health care expenditures (SHA) 2022, Health care expenditures (SHA) 2021, The statistics shows consumption expenditures on health care goods and services distributed across function, provider and financing scheme. The statistics follow the international manual System of Health Accounts (SHA2011), which is made in collaboration between OECD, Eurostat and WHO. The statistics are included in OECD's annual publication Health at a Glance. Data are consistent and comparable for the entire time period. , Statistical presentation, Health care expenditures is an annual and three-dimensional statistics of health care consumption expenditures in Denmark. The consumption expenditures are distributed across different health functions, providers and financing schemes, which makes it possible to identify what is consumed, where it is consumed, and who has financed the consumption. The statistics is shown in millions DKK., Read more about statistical presentation, Statistical processing, Data for this statistic are collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data are validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to SHA2011 begins followed by imposed weights gathered from supplementary sources. Lastly, data are integrated and compiled into the final result. , Read more about statistical processing, Relevance, The statistic is relevant for professionals and analysts. The statistic is included in the annual publication by OECD , Health at a Glance, and will be launched in OECD Data Explorer. Professionals and analysts use the statistics to get a detailed overview of the consumption of health services in Denmark. , Read more about relevance, Accuracy and reliability, The overall accuracy of the statistics is considered to be high, as the primary data sources is constituted by the general government finances. However, there are uncertainty associated with the use of a few supplementary sources such as the Household Budget Survey. Moreover, misclassifications can occur as it can be difficult to determine whether some areas are within the scope of the SHA. This implies that the uncertainty increases with the level of detail. The accuracy is therefore highest for the overall SHA-categories., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published for the first time four months after the end of the reference period and without delays in relation to planned release times. , Read more about timeliness and punctuality, Comparability, The reporting burden to the OECD, Eurostat, and WHO was acquired from the Ministry of Health in July 2019. The statistic produced according to European guidelines in relation to the manual System of Health Accounts (SHA2011). The statistics are fully comparable over time and across countries for the entire time period., Read more about comparability, Accessibility and clarity, The statistics is published in , New from Statistics Denmark, and in the StatBank under , Health care expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication Health at a Glance. Moreover, data is published by OECD, Eurostat and WHO. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-care-expenditures--sha-

    Documentation of statistics

    Documentation of statistics: SME Access to Finance

    Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

    Documentation of statistics

    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: 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

    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