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Sustainable development goals Indicator: 1.5.1 - Disasters

Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population, Definition, Disaster means serious disruption of the functioning of a community or society involving widespread human, material, economic or environmental losses and impacts that exceed the affected community or society’s ability to cope with the disaster without outside assistance. Denmark does not compile continuous and official statistics on the number of dead, missing and affected persons in connection with disasters. However, Statistics Denmark estimates that very few people  die or go missing due to disasters., Last updated:, 27-01-2022

https://www.dst.dk/en/Statistik/temaer/SDG/globale-verdensmaal/01-afskaf-fattigdom/delmaal-05/indikator-1

Bosnia-Herzegovina 2024-2026

Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., This Twinning project addresses multiple institutions as they all constitute the national statistical system of Bosnia-Herzegovina. , The beneficiary institutions are:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of the Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska,, The Central Bank of Bosnia and Herzegovina, The overall objective of the project is to strengthen the national statistical system (NSS) in Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. The importance of this objective was highlighted on 15 December 2022, when , Bosnia and Herzegovina received candidate status for EU membership. The candidate status adds further urgency to the approximation process. , The project addresses five independent components:, Component 1: Business Statistics , Component 2: Tourism Satellite Accounts (TSA), Component 3: Information and Communication Technology Statistics (ICT), Component 4: Labour Markets Statistics , Component 5: Monthly Balance of Payments Statistics, Business Statistics, From previous Twinning Projects in Bosnia-Herzegovina, Danish and Finish experts have an in depth understanding of the local conditions. As EBS has come into effect both structural business statistics and short term statistics has to be adjusted in terms of methodology and data collection thereby requiring changes to the Statistical Business Register. At the same time, the burden put on respondents must not grow and should preferably be reduced through better data collecting and use of administrative data. ,  , Administrative data sources, The consortium has significant experience in the use of administrative data for production of statistics. With some accuracy, it can be claimed that the use of administrative data was invented in Scandinavia.,  , Denmark and Finland has a long history of using administrative data sources. Statistics Finland is required by law to use administrative sources if available in order to minimize respondent burden and in Denmark, nearly all social statistics are based on administrative records. Data on wages and employment are also usually extracted from business and tax authorities. ,  , TSA and ICT, TSA and ICT are new areas to this Twinning but are all produced by the MS partners. Implementation of ICT in Bosnian-Herzegovina is already well advanced and the component may be directed more at methodologies used for collecting and producing the statistics than actually compiling them. TSA or more formally Tourism Satellite accounts are often produced in a venture between NSIs and relevant public institutions such as the national board of tourism and academia. ,  , Labour markets statistics, Labour market statistics are produced according to Eurostat and ILO requirement. Data is compiled using a combination of surveys and administrative records. The coming project will focus on using administrative records.  ,  , Monthly Balance of Payment, Balance of Payment is usually produced in close collaboration between the national statistical institutes and the Central / National Bank. As in two previous project, we hope to continue the work relation established between Statistics Finland, the Central Bank of Finland and the Central Bank of Bosnia-Herzegovina. If relevant expertise from Italy may also be mobilized.

https://www.dst.dk/en/consulting/projects/bosnia-herzegovina-2024-2026

Stress and mental disorders

How many are suffering from stress and how many have mental disorders in Denmark? How is the mental health of the population?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Stress, "Den Nationale Sundhedsprofil” is a national health profile (in Danish), which includes information on stress – see results from the surveys:, The latest publications are , "Danskernes sundhed - Den nationale sundhedsprofil 2021",  and the mid-term survey , "Danskernes sundhed 2023", Results from 2010, 2013, 2017, 2021 and 2023 can be found in the database , Danskernes sundhed, The Danish Work Environment Authority (Arbejdstilsynet) monitors the working environment among employees - including the psychological working environment and stress., Read more and see data from , ”National Overvågning af Arbejdsmiljøet blandt Lønmodtagere” (NOA-L), See also the article , ”Stigning i anmeldte psykiske sygdomme i 2023”, Mental disorders, Psykiatrifonden is the Danish mental health fund and provides general figures for the incidence of mental illness in the population:, See their website with , incidence, (in Danish), which includes source references., At the request of the Danish Health Authority, the National Institute of Public Health (NIPH) has carried out a major study of the burden of disease in Denmark. , ", Sygdomsbyrden i Danmark - Sygdomme, " (2023) (in Danish). The study compares e.g. depression, anxiety and schizophrenia in terms of various parameters such as incidence, mortality, treatment, sickness absence, disability pension, etc. , The Danish Health Data Authority has key figures about the healthcare sector: , Data on patients and admissions to psychiatric hospitals is available in The Danish Health Data Authority’s databank – , eSundhed, (in Danish)., The Danish Health Data Authority is responsible for the register of medicines statistics, Lægemiddelstatistikregisteret (in Danish), which holds information on all sales of medicines in Denmark. , The register is used for e.g. analyses of the consumption of , ADHD medicine, antidepressants and anti-psychotics,  (in Danish), Stress, mental disorders and mental health of children and young people, Børns Vilkår og TrygFonden: , The report ", Krop, køn og digital adfærd : hvordan mindsker vi presset på børn og unge, ?" (2020) (in Danish) contains a section about children and young people's experiences of pressure and stress in everyday life., The Danish Health Data Authority:, In their report ", Prævalens, incidens og aktivitet i sundhedsvæsenet for børn og unge med angst eller depression, ADHD og spiseforstyrrelse, " (2018) (in Danish), the Health Data Authority has collected data on the prevalence, incidence and activity in the healthcare sector for children and young people suffering from anxiety, depression, ADHD or eating disorders., Vidensråd for Forebyggelse (Danish knowledge council for prevention):  , The report ", Mental sundhed og psykisk sygdom hos 0-9-årige børn, " (2021) (in Danish) maps e.g. the prevalence and distribution of mental health issues and mental illness among 0-9-year-old children., The report ", Mental sundhed og sygdom hos børn og unge i alderen 10-24 år, " (2020) (in Danish) has data on children and young people with ADHD, autism spectrum disorders (AFS), anxiety, depression, obsessive-compulsive disorders (OCD), Tourette’s syndrome, behavioural disorders, eating disorders and psychoses in the schizophrenic spectrum. The report incude a section on the occurrence of stress in the age group., The Danish Health Authority:, ", Stress blandt unge, " (2007) (in Danish) presents the results of the first survey on stress among pupils in the final years of secondary school.,  , [This page was last reviewed in October 2024]

https://www.dst.dk/en/informationsservice/oss/stress

Documentation of statistics: Sales of housing cooperatives

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of housing cooperatives 2024 , Previous versions, Sales of housing cooperatives 2022, The purpose of the statistics for cooperative housing is to monitor the price development in the property value of the cooperative housing units traded. The statistics has been produced since November 2023 and covers the period from 2015Q1 and onwards and it is comparable throughout the entire period., Statistical presentation, The statistics for cooperative housing is a quarterly price index for the property value of the cooperative housing units traded. The statistics contains price indices to describe the price development over time and numbers for the use of different valuation principles. The statistics includes all traded cooperative housing units that have been registered through http://www.andelsboliginfo.dk. This registration has been mandatory for the cooperative housing associations since June 1st 2021., Read more about statistical presentation, Statistical processing, Key figures on cooperative housing associations and cooperative housing units are reported to Statistics Denmark through http://www.andelsboliginfo.dk on a quarterly basis. The collected data is validated by Statistics Denmark and enriched with data from the Danish Buildings and Dwellings Register which is altså validated. Finally, price indices and the distribution of valuation principles are calculated., Read more about statistical processing, Relevance, Cooperative housing units constitutes 8 pct. of all housing units in Denmark and there are more than 210.000 cooperative housing units nationally. More than a third of apartment buildings in Copenhagen are cooperative housing which is a larger share than for the owner-occupied housing. The price development on the cooperative housing market is thus highly influential on the prices for the remaining housing market., Read more about relevance, Accuracy and reliability, The precision of the calculated price development depends on the hedonic regression which ensures the quality correction of the cooperative housing units sold and on the collected data. The development in the choice of valuation principles in the data from 2015 and onwards is assessed to be fairly accurate., The statistics for cooperative housing is based on information from http://www.andelboliginfo.dk which is a register of sold cooperative housing in Denmark. Thus, the reliability of the preliminary figures is assessed to be acceptable. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics on cooperative housing publishes preliminary quarterly figures two months after the end of the reference period. It has not been decided when the figures are final. The statistics on cooperative housing is published without delay with regards to the planned publications., Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for cooperative housing is published on a quarterly basis in the Statbank and yearly in , Nyt fra Danmarks Statistik, along with the publication of the 4th quarter., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-housing-cooperatives

Documentation of statistics

Documentation of statistics: Forest Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Zörner , +45 24 41 73 66 , MIZ@dst.dk , Get documentation of statistics as pdf, Forest Accounts 2024 , Previous versions, Forest Accounts 2023, Forest Accounts 2022, Forest Accounts 2021, Forest Accounts 2020, Forest Accounts 2018, Forest Accounts 2016, The forest accounts are accounts for the Danish forests as a natural resource. The accounts comprise the forest land as well as the wood (timber) resource. The forest accounts were first published in 2017, as part of the Green National Accounts for Denmark. In 2021, the accounts have been extended back in time so all data series start in 1990., Statistical presentation, The forest accounts are an annual account of the Danish forest area and the growing stock in the forests. The accounts contain opening and closing stocks as well as balancing items broken down by region. Concerning the growing stock, the accounts are in physical units (cubic meters) as well as monetary units (DKK) and are published with a division into broadleaves and conifers, whereas the forest area is accounted only in physical units (square km). The accounts are published in the StatBank as well as in general publications from the Green National Accounts for Denmark., Read more about statistical presentation, Statistical processing, The forest accounts are produced separately for forest area and for growing stock. The accounts for the forest area are obtained almost directly from the Danish reporting on land cover under the Kyoto Protocol and from the calculation of the area of undisturbed forest provided by the Agency for Green Transition and Aquatic Environment. For the physical growing stock accounts, several sources are matched and harmonized in order to compile complete and consistent accounts. From the physical growing stock accounts, the monetary accounts (in DKK) are calculated through a valuation model based on estimated prices., Read more about statistical processing, Relevance, The forest accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in forest, natural resources, interactions between environment and economy, natural capital, sustainability etc. In the context of the United Nations and other international organizations, there is a large focus on green national accounts., Read more about relevance, Accuracy and reliability, The forest accounts are reliable estimates of the physical size of the resources, as well as the change in these over a number of years. Smaller variations from one year to the next may however reflect uncertainties rather than real changes. Especially for the monetary valuation of the growing stock (in DKK) there is significant uncertainty, both concerning the estimated prices as well as inherent in the method used which is based on a number of assumptions. The estimate for the value of the growing stock should therefore be considered a provisional estimate of the order of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The forest accounts are normally published 21 months after the reference period ends. Apart from minor adjustments of the target date, the accounts have always been published as planned., Read more about timeliness and punctuality, Comparability, The forest accounts are compiled according to the guidelines for asset accounts for natural resources from the UN statistical standard 'System of Environmental-Economic Accounting'. This ensures a high degree of comparability with the same type of accounts from other countries using this standard. The forest accounts are fully comparable across the published time series within the individual tables., Read more about comparability, Accessibility and clarity, The forest accounts are available in their most detailed form in the StatBank under the subject , Natural resource accounts, . General results are communicated through Statistics Denmark's various publications covering the Green National Accounts for Denmark. See also the topic page , Natural resource accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/forest-accounts

Documentation of statistics

Documentation of statistics: Childcare after school start

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Childcare after school start 2024 , Previous versions, Childcare after school start 2023, Childcare after school start 2022, Childcare after school start 2021, Childcare after school start 2020, Childcare after school start 2019, Childcare after school start 2018, Childcare after school start 2017, Childcare after school start 2016, The statistics illustrate the number of children in childcare for schoolchildren and the number of employees with pedagogical assignments. The subject of childcare used to cover the entire childcare area for children from the age of 0-18 years, which from 2015 has been divided into childcare pre-school for children (0-5 years) and childcare school for children (6 - to 18 years). The purpose of this statistics is to shed light on childcare for schoolchildren., Statistical presentation, The statistics is an annual inventory of the number of enrolled children and the number of employees with pedagogical assignments in childcare for schoolchildren. The children and young people are measured by municipalities, category of child care, type of ownership and age. The staff are measured by municipalities and positions category. The statistics are published in StatBank Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from municipalities and payroll systems. It is supplemented by data from the Ministry of Education and electronic reports from self-employed and private institutions. The data collected are validated for large deviations as well as inconsistent information from the different sources and is compared with the numbers from previous years. , Read more about statistical processing, Relevance, There are several different diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Muncipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the allocation of resources and the service level in the childcare area. Data has been collected on the basis of an agreement between Statistics Denmark and the Ministry of Children and Social Affairs., Read more about relevance, Accuracy and reliability, The inventory contains information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and the assessment institutions on whether the staff is working in childcare or as the teacher in the same school. Some new established institutions can be missing and some can have changed status without Statistics Denmark has been informed. , Read more about accuracy and reliability, Timeliness and punctuality, The inventories are published without delay in relation to the pre-announced release date in the release calendar. The publications take place once a year., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. In general it is possible to compare the total number of children and type of institutions from 1994 onwards. However be aware that the day of reference changes from spring to autumn from 2004. Statistics on childcare are published in several countries, but they do not have common guidelines. The subject of child care in the OECD countries is described in the yearly report Education at a Glance., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the subject of , Childcare, . For further information, go tp the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-after-school-start

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 2024 , Previous versions, 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, Housing and Senior Citizens 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 women's 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: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2024 , Previous versions, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, Documents associated with the documentation, SILC 2024 spørgeskema (pdf) (in Danish only), In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Documentation of statistics: Convicted Persons

Contact info, Population and Education , Isabell Hartvig Larsen , +45 24 90 74 98 , IBC@dst.dk , Get documentation of statistics as pdf, Convicted Persons 2023 , Previous versions, Convicted Persons 2022, Convicted Persons 2021, Convicted Persons 2020, Convicted Persons 2019, Convicted Persons 2018, Convicted Persons 2017, Convicted Persons 2016, Convicted Persons 2015, Convicted Persons 2014, Convicted Persons 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Dømte (docx), The purpose of the statistics is to analyze the number of persons who have been found guilty in violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on convicted persons was published for the first time for the year 1995. Since then it has been published for the years 1998, 2000, 2002 and 2004 and hereafter annually., Statistical presentation, The statistics shed light on the number of persons who have been convicted for violation of the penal code, the road traffic act and other special legislation. In the published statistics the convicted persons are classified into sex, age, municipality, national origin, country of origin and type of offence and conviction. From 2018-2021 also into citizenship and from 2021 into socio economic status and education. , Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register and Statistics Denmark's income register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 11 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1995, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. An overview of new and ceased type of offences can be found in this annex (in Danish only): Development in types of offences., Fines for violation of the road traffic act below DKK 2,500 are not included in the statistics as from 2012. In the period 2001-2011 the limit was DKK 1,500 and before 2001 DKK 1,000., Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in [Convicted Persons] (https://www.Statbank.dk/10338)., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality) and the publication , "Indvandrere i Danmark", (Immigrants in Denmark, as from 2005)., See more at the , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convicted-persons

Documentation of statistics

Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2023 , Previous versions, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics