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Sustainable Development Goals

In 2015, the UN's 193 member states - including Denmark - adopted 17 Global Goals, also called Sustainable Development Goals or SDGs. Statistics Denmark’s SDG platform shows, for a large number of indicators, the fulfillment of the Global Goals for Denmark

https://www.dst.dk/en/Statistik/temaer/SDG/globale-verdensmaal

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: Bankruptcies

Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , sbh@dst.dk , Get documentation of statistics as pdf, Bankruptcies 2026 , Previous versions, Bankruptcies 2023, Bankruptcies 2022, Bankruptcies 2020, Bankruptcies 2019, Bankruptcies 2018, Bankruptcies 2017, Bankruptcies 2016, Bankruptcies 2015, Bankruptcies 2014, The purpose of these statistics on bankruptcies is to analyze trends in the number of bankruptcies as well as in selected characteristics of companies gone bankrupt. These trends are considered as an essential economic or short time indicators. Compilation of the statistics was established in January 1979 based on a 'simple count method'. In 2009 the method was changed to a registry-based method. Quarterly statistics on selected and aggregated NACE-sections are published from July 2021., Data on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., Statistical presentation, The statistics on declared bankruptcies show monthly the development in the number of announcements by industry, region, company age, turn-over and employment. Furthermore average company age, total turn-over and total employment (lost jobs) in bankrupt companies are calculated. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK., Figures on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., An index on new registered enterprises on sectors and selected types of enterprises is published monthly., Read more about statistical presentation, Statistical processing, Data from The Danish Official Gazette (Statstidende) are checked for missing reports and duplicates., The announced bankruptcies in the month of reference are added on business sector, turnover, age, employment and geography. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK. The main series with the total number of bankruptcies are seasonal adjusted together with the series of bankruptcies in active companies., The series on petitions for liquidation proceedings are checked at delivery. Some of the petitions for liquidation proceedings are removed from data as they cover private bankruptcies., The new enterprises are transformed to an index., Read more about statistical processing, Relevance, The statistics on declared bankruptcies, petitions and new enterprises for liquidation proceedings are used by public and private decision-makers as short time indicators and as indicators of the state of affairs in enterprises., Read more about relevance, Accuracy and reliability, There are no changes to former published data. Company ages can be underestimated due to companies changes in the 'cvr'-number. Turn-over and employment figures does not necessarily reflect the situation on the time of bankruptcy as these data refer to an earlier reference period (year or quarter)., Earlier published figures on petitions for liquidation proceedings can be changed by new data deliveries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on declared bankruptcies and petitions for liquidations is published in the first week after the reference month. , Publications on declared bankruptcies are released on time, as stated in the release calendar. , Index for new enterprises is published to weeks after the end of the reference month., Read more about timeliness and punctuality, Comparability, The figures for declared bankruptcies before 2009 are not fully compatible with the later figures as the former figures also contain personal bankruptcies. The size of the difference is not available., Bankruptcies and new enterprises are a part of the Eurostat quarterly business demograpfics , Read more about comparability, Accessibility and clarity, Statistics on declared bankruptcies, petitions for liquidations and index for new enterprises are published monthly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Bankruptcies, . For more information, go to the , subject page, Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Productivity

Contact info, National Accounts, Climate and Environment, Economic Statistics , Magnus Børre Eriksen , +45 29 12 27 56 , MBE@dst.dk , Get documentation of statistics as pdf, Productivity 2025 , Previous versions, Productivity 2024, Productivity 2023, Productivity 2022, Productivity 2021, Productivity 2020, Productivity 2019, Productivity 2018, Productivity 2017, Productivity 2015, Productivity 2014, Productivity 2011, The purpose of the statistics Productivity is to examine the change in production per unit of the resources involved and which contributes to the change. The simplest and most commonly used concept of productivity is labor productivity, which is used here. Labor productivity (LP) and the causes for the change in LP is calculated back to 1966., Statistical presentation, Productivity is basically a measure of how efficiently you use your resources (labor, capital, etc.) when producing goods and services. In this statistic it is also calculated which resources contribute most to the change in productivity. Productivity change is distributed across industries for the various productivity components. The statistics are disseminated in News from Statistics Denmark and the StatBank., Read more about statistical presentation, Statistical processing, Labor productivity is defined as the real value of Gross value added (GVA) per hour worked. The calculations are based on figures from market activity from national accounts, i.e. the total economy excluding the sectors: General government (S.13) and NPISH (S.15). The sources used for calculating the productivity growth is fixed capital, Labor force education statistics and sector account figures for Gross value added and hours worked., Read more about statistical processing, Relevance, The national accounts (including Productivity statistics) constitute core indicators of the analyses of economic growth. Users are primary researchers, economic departments and organizations., The division of national accounts continuously evaluates feedback from our users., Read more about relevance, Accuracy and reliability, The precision of the calculation of productivity growth is closely related to the uncertainty of the variables that are included in the calculation. I.e. how well, the value of an hour's work is reflected in the gross value added in fixed prices for the industry; the quality of the calculated hours and whether there are special conditions in the industry that make labor productivity less relevant, e.g. high capital intensity. For multiple industries, labor productivity growth should not stand alone in productivity analyzes. This applies, for example, to dwellings, public administration, education and health., Read more about accuracy and reliability, Timeliness and punctuality, First preliminary version of Labor productivity (LP) for year t is published end of March in year t+1. The final version of LP for year t is published end of June in year t+3. First preliminary version of Productivity growth (Sources of LP) for year t is published no later than December year t+1. The final version of Productivity growth (Sources of LP) is published no later than December year t+3. The productivity statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, This statistic is based on national accounts. Therefore this statistic is consistent with respect to national accounts and comparable over time. Moreover this statistic is comparable to other countries productivity figures if they are also based on ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Productivity, . See more information , here, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Gross Fixed Capital Formation in Housing and Type of Repair

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Gross Fixed Capital Formation in Housing and Type of Repair, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/gross-fixed-capital-formation-in-housing-and-type-of-repair

Documentation of statistics

Documentation of statistics: Supplemental Accounts Statistics for Shipping

These statistics are no longer produced. A quality statement an old format is available as a PDF file (only in Danish): , Supplerende regnskabsstatistik for rederier, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/supplemental-accounts-statistics-for-shipping

Documentation of statistics

Documentation of statistics: Recipients of subsidy for private day-care

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 29 16 99 21 , RIE@dst.dk , Get documentation of statistics as pdf, Recipients of subsidy for private day-care 2025 , Previous versions, Recipients of subsidy for private day-care 2024, Recipients of subsidy for private day-care 2023, Recipients of subsidy for private day-care 2022, Recipients of subsidy for private day-care 2021, Recipients of subsidy for private day-care 2020, Recipients of subsidy for private day-care 2019, Recipients of subsidy for private day-care 2018, Recipients of subsidy for private day-care 2017, The statistics illustrates the number of children and the number of families receiving subsidies for private day-care or for care of their own children. These statistics are comparable from 2004 and onwards., Statistical presentation, The statistics is an annual inventory for the 3. of October of the number of children and the number of families receiving subsidies for private day-care or for care of their own children after the Day Care Act, Dagtilbudsloven (§ 80 and § 86). The statistics are grouped by municipalities., Read more about statistical presentation, Statistical processing, Data is received through electronic reporting from all municipalities. If the information is assessed to be incorrect, Statistics Denmark contacts the municipalities and assures the data through a dialogue with the municipalities., Read more about statistical processing, Relevance, The statistics is relevant for ministries, municipalities and professional organizations. They use it as a foundation for analysis and reports etc., Read more about relevance, Accuracy and reliability, The primary uncertainty related to the statistics comes from typing errors made by reporters in the municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is in 2026 published around eight months after the reference period. The statistics is published with no delays., Read more about timeliness and punctuality, Comparability, There is comparable data for the number of children receiving subsidies from 2004 until today. The statistics can be found in the StatBank in tables PAS2 (2004-2006) and PAS22 (2007-2014)., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Childcare, in the table , DAGTIL4, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recipients-of-subsidy-for-private-day-care

Documentation of statistics

Documentation of statistics: Foreign Owned Enterprises

Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 41 97 76 , AHM@dst.dk , Get documentation of statistics as pdf, Foreign Owned Enterprises 2023 , Previous versions, Foreign Owned Enterprises 2022, Foreign Owned Enterprises 2021, Foreign Owned Enterprises 2020, Foreign Owned Enterprises 2019, Foreign Owned Enterprises 2018, Foreign Owned Enterprises 2017, Foreign Owned Enterprises 2016, Foreign Owned Enterprises 2015, Foreign Owned Enterprises 2014, Foreign Owned Enterprises 2013, Foreign Owned Enterprises 2012, The purpose of the statistics foreign-owned enterprises is to show the number of foreign-owned enterprises in Denmark and how this number develops over time. The statistics were compiled with the first reference year 2000 and is comparable from 2019 onwards. First as a pilot project and subsequent regulation determined in connection with the implementation of the Regulation (EC) No 716/2007 of The European Parliament and of The Council of 20 June 2007 on Community statistics on the structure and activity of foreign affiliates., Statistical presentation, The statistics analyze the ownership country in terms of land for the ultimate owners. Statistical data contain country of the ultimate owner and selected variables taken from the General enterprise statistics such as turnover, number of employees and number of enterprises., Read more about statistical presentation, Statistical processing, Information from the National Bank, the companies official accounts, commercial registers, the Business Register and other sources used to update the population of foreign-owned firms. There also used information from the General Enterprise statistics., Read more about statistical processing, Relevance, Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, journalists, students., Read more about relevance, Accuracy and reliability, The foreign-owned companies include only those it has been possible to find using above sources. There may therefore be more foreign owned enterprises than those included in the statistics of foreign owned enterprises and this may affect the statistics overall precision and reliability. There is no uncertainty calculations. One source of uncertainty is that there may be more foreign-owned enterprises than those included in these statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once a year. The statistics are usually published about 20 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics have been republished for the period 2019-2021 with a new activity limit that includes economically active companies and with more economic units that have been implemented in the General Enterprise Statistics. Several industries are affected by this. There is thus no direct comparability with the previous time series covering the period 2000-2021. , The statistics supplement the General Enterprise Statistics with information on foreign-owned enterprises., Every year figures are submitted to the statistical office of EU, Eurostat. This includes special industry aggregates, not published nationally. , Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, (only in Danish) and , Statbank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/foreign-owned-enterprises

Documentation of statistics

Documentation of statistics: Crises shelters

Contact info, Personal Finances and Welfare, Social Statistics , Silas Turner , +45 21 54 42 57 , STR@dst.dk , Get documentation of statistics as pdf, Crises shelters 2025 , Previous versions, Crises shelters 2024, Women's shelters 2023, Women's shelters 2022, Shelters for battered women 2021, Women's shelters 2020, Women's shelters 2019, Women's shelters 2018, Women's shelters 2017, The purpose of the statistics crisis shelters is to provide information about citizens and children brought along staying at crises shelters in accordance with section 109 in the Act on Social Services. The statistics were first compiled for 2017., Statistical presentation, These statistics are an annual calculation of the number of stays and the number of citizens and children enrolled in crisis shelters that is established and run in accordance with section 109 of the Act on Social Services. The statistics are grouped by municipality, origin, age and duration of the stay. Reporting to the statistics is mandatory by law., Read more about statistical presentation, Statistical processing, Data is received quarterly from the crisis shelters either with the help of a system-generated txt file or via a predefined spreadsheet. Upon receipt, the data sets are reviewed for formal errors, such as incorrect date formats. Next, the data goes through a validation process, after which the statistics are supplemented with background information about the citizens and any brought children from Statistics Denmark's population register., Read more about statistical processing, Relevance, Based on their data strategy for the social sector, the Ministry of Social Affairs and Housing has asked Statistics Denmark to collect data and publish statistics on stays and residents at Denmark's crisis shelters according to section 109 of the Act on Social Services. The statistics can be used to broaden the scope of the social field and is supposed to be of interest to anyone interested in social conditions and citizens in socially vulnerable positions.. In the summer of 2023, the crises shelters and other stakeholders have had the opportunity to provide feedback and input to the statistics., Read more about relevance, Accuracy and reliability, The statistics are a total count of citizens and children brought to crisis shelters. Some stays are reported anonymously for the citizen and/or children brought to shelters, which may result in missing background information. Therefore, it is not possible to determine whether citizens have been to shelters more than once. Some citizens and children are listed anonymously at one shelter and not anonymously at another. In addition, typing errors or missing dates may occur when manually entering stays. Overlapping stays may also have been reported. However, the majority of these errors are corrected before publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference period. , Read more about timeliness and punctuality, Comparability, In Sweden, Statistics Sweden and the National Agency for Social Affairs and Health compile national surveys on men's violence against women and violence in intimate relationships. Data is compiled from 2017. Up until the end of 2020, women on outpatient services were also included in the statistics., Read more about comparability, Accessibility and clarity, These statistics are published in [https://www.dst.dk/da/Statistik/nyheder-analyser-publ/nyt?psi=3359) In StatBank Denmark, these statistics can be found under the subject , Social conditions, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/crises-shelters

Documentation of statistics

Documentation of statistics: Municipality Budgets

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Municipality Budgets, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/municipality-budgets

Documentation of statistics