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      Documentation of statistics: Labour Market Account

      Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

      Documentation of statistics

      Documentation of statistics: Employee Trade Unions

      Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Employee Trade Unions 2024 , Previous versions, Employee Trade Unions 2023, Employee Trade Unions 2022, Employee Trade Unions 2021, Employee Trade Unions 2020, Employee Trade Unions 2019, Employee Trade Unions 2018, Employee Trade Unions 2017, Employee Trade Unions 2016, Employee Trade Unions 2015, Employee Trade Unions 2014, Employee Trade Unions 2013, The purpose of the statistics is to compile aggregated annual statistics showing the number of members of employee organisations with attachment to the labour market. The statistics been complied since 1994, but is in its current form comparable from 2007 and onwards. , Statistical presentation, The statistics provide an overview of the number of members of employee organisations with attachment to the labour market i.e. excl. trainees, retirees, early retirees and self-employed. The statistics are grouped by central organisations/individual organisations and gender. The statistics are published annually and disseminated in the newsletter Nyt fra Danmarks Statistik and in the StatBank., Read more about statistical presentation, Statistical processing, These statistics are based on annual reports from employees' organisations on the number of members attached to the labour market per December 31. Data are typically validated by comparing the current year’s reporting with that of previous years for each organisation. As of the reference date 31 December 2023, total membership figures are also reported for each organisation. These totals are then compared with the reported number of members with labour market affiliation per organisation to ensure consistency., Read more about statistical processing, Relevance, Users of the statistics are typically employee and employer organisations, researchers and the media. No dissatisfaction has been expressed with the statistics., Read more about relevance, Accuracy and reliability, The statistics are based on reports from Central Employee Organisations and other employee organisations. Not all employee unions are able to calculate the precise figures exclusive members not attached to the labor market, i.e.. students, early retirees and pensioners, and self-employed. The data are therefore believed to be a little overestimated for some organisations. On the other hand, there may be small employee organisations that are not included. The data are normally not revised, but if errors are detected they are corrected back in time as far as possible. Although participation in the statistics is voluntary, all employee organisations appear to submit data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4-5 months after the reference date. , The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled (without data breach) since 2007. Minor breaks in the time series may occur when employee organisations change their reporting methods. For example, the previously observed sharp decline in membership figures for some organisations (mainly those under LO) from 2011 to 2012 was due to the inclusion of members without labour market affiliation in earlier reporting. However, this decline has been addressed as of the publication on 19 May 2025, by revising the reported figures downwards for the period 2007–2011., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release (Nyt fra Danmarks Statistik) at the same time as the tables are updated in the StatBank. In the StatBank, the statistics ca be found under the subject , Trade unions, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employee-trade-unions

      Documentation of statistics

      Documentation of statistics: Quarterly Labour Force

      Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

      Documentation of statistics

      Documentation of statistics: Climate footprint (experimental statistics)

      Contact info, National Accounts, Climate and Environment , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2021 , Previous versions, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and emissions, in the tables AFTRYK1 and AFTRYK2., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Deaths and life expectancy (Discontinued)

      Contact info, Population and Education , Get documentation of statistics as pdf, Deaths and life expectancy 2016 , Previous versions, Deaths and life expectancy 2015, Deaths and life expectancy 2013, These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people, who have died abroad., The statistics of the dead include in the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the expected average life expectancy of a newborn, based on mortality for the last two or five years period, e.g. 2016-2017., Statistical presentation, These statistics contains information on number of deaths by sex, age and municipality of residence., These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people who have died abroad., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from Statens Serum Institut (SSI) are basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, Municipalities, regions, ministries, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., For approximately 5 per cent of the deaths the cause of death is missing. These people have often died abroad., The statistics of death include the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the average number of years a newborn is expected to live on the condition that current age-related death rates remain constant in the future. Life expectancy should therefore only be seen as an indicator of the current mortality of the population - not a prediction of how long newborns will live in practice because age-specific mortality generally decreases over time. The average life expectancy by municipality may however be subject to uncertainty - especially for the small municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning deaths is published app. 45 days after the end of the year., Information concerning the causes of deaths however are quite delayed and are disseminated irregularly., Read more about timeliness and punctuality, Comparability, The statistics is comparable over time., The codes for causes of death have been altered. Until 1993 ICD8 (International Classification of Causes of Death 8th Rev) have been applied. This implies that causes of death before and after 1994 can’t necessarily be compared. However, there have been produced comparable statistics at certain levels., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the Statbank., Yearly publications: , Vital statistics, , , Statistical Yearbook, and , Statistical ten-year review, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/deaths-and-life-expectancy--discontinued-

      Documentation of statistics

      Documentation of statistics: Leisure and Business Trips

      Contact info, Short Term Statistics , Kari Anne Janisse Arildsen , +45 40 43 38 12 , KJS@dst.dk , Get documentation of statistics as pdf, Leisure and Business Trips 2023 , Previous versions, Leisure and Business Trips 2022, Leisure and Business Trips 2021, Leisure and Business Trips 2020, Leisure and Business Trips 2016, Leisure and Business Trips 2013, The purpose of the survey is to describe the travel patterns of the Danish population. Information is given on use of infrastructure and accommodation. Further information is given on the preferred destinations and expenditures concerning the trips. Statistics Denmark has compiled similar surveys in 1972, 1976 and 1980. In 1995, the survey covered only trips with at least four overnight stays for personal purposes. Since 1996, short leisure trips with 1-3 overnight stays and business trips with at least one overnight stay have also been compiled., Statistical presentation, The survey covers leisure and business trips with nights spent as well as same-day visits made by adult Danes aged 15 or older. In broader terms, the survey covers the travel habits of the adult Danish population., Read more about statistical presentation, Statistical processing, The survey is made on the basis of a randomly selected sample with approx. 6000 interviews in net value (unit nonresponse excluded) among Danish residents aged 15 years+. The sample is then grossed up to the target population (Danish residents aged 15 years+) by using different strata, which refers to groupings based on for instance gender, age, family type, family income and socio group in order to make the sample represent the target population the best way possible. , Read more about statistical processing, Relevance, The survey is used by The European Commission, Danish ministries and business and tourism organizations in the industry in order to monitor the market and develop potential tourism policies. In broader terms, the survey can also be used for educational purposes and as an indicator that tells something about the travel habits and behavior of the Danish population and of the society and the economic situation in general., Read more about relevance, Accuracy and reliability, The statistics are affected by statistical sampling errors and memory bias, especially regarding the expenditure questions., Due to the sampling method, statistical errors do occur. For the net propensity to undertake a holiday trip the interval made up as the estimated value +/- 2 per cent will contain the true value in 95 per cent of the cases., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published annually approx. 7 months after the end of the reference year. The statistics is published according to schedule., Read more about timeliness and punctuality, Comparability, The statistics is mandatory and in coherence with other EU-statistics. The statistics for 1995 and subsequent years are fully comparable. The key figures for the period before 1995 data are generally comparable. Changes were made in the questionnaire in 2008, 2010 and 2017, and the statistic is therefore not comparable over time. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Holiday and business trips, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/leisure-and-business-trips

      Documentation of statistics

      Documentation of statistics: Nights Spent at Marinas

      Contact info, Short Term Statistics, Business Statistics , Majbrit Holst , +45 24 94 08 24 , mbj@dst.dk , Get documentation of statistics as pdf, Nights Spent at Marinas 2025 , Previous versions, Nights Spent at Marinas 2024, Nights Spent at Marinas 2023, Nights Spent at Marinas 2022, Nights Spent at Marinas 2021, Nights Spent at Marinas 2020, Nights Spent at Marinas 2019, Nights Spent at Marinas 2018, Nights Spent at Marinas 2017, The purpose of the survey Overnight stays in marinas is to supply information on the tourism activity in the Danish marinas. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. Furthermore the statistics is used to identify the most popular marina areas in Denmark. The survey is collected on a voluntary basis and is made in collaboration with VisitDenmark. The survey has been compiled since 1992. The survey went from mandatory to voluntary in 2004 which has had an impact on the response rate and thus also the comparability over time., Statistical presentation, The statistics regarding marinas is a monthly seasonally survey about boats and guest nights spent by visiting yachts in marinas in the months of May-September. The statistics are divided into nationalities of the guests, as well as geographically by regions, parts of the country and waters. In addition, there is an annual assessment of the capacity of marinas divided into parts of the country and the size of the marina. Numbers of Municipal distribution is published at the homepage of VisitDenmark., Read more about statistical presentation, Statistical processing, Data for the statistics is collected monthly for for the reference months May to September. The monthly statistics shows temporary data for the activity in the marinas. If a marina has not reported data from the same month the year before is imputed. At the end of the reference year the imputed data is replaced by reported final data for the year. The numbers of nights spent at marinas are calculated by using a average factor for the size of the crew. The average factor is based by a survey made by VisitDenmark in 2017. Data for the statistics is collected via an upload solution or by a electronis questionaire. 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 marina statistics was made voluntary from 2004 which may influence the comparability over time as well as the coverage. Some reports are based on a best estimate by the respondent and therefore in risk of being wrong. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published on a monthly basis for the reference months May-September approx. 40 days after the end of the reference month. Furthermore, an annual publication is made that is published approx. 75 days after the end of the reference year. The survey is published according to the scheduled time table and therefore has a high degree of punctuality., Read more about timeliness and punctuality, Comparability, From 2004 the statistics are voluntary which minimize the comparability over time. From 2007-20016 a new factor regarding the size of the crew has been phased in. From 2017 an onwards this factor is fully phased in. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statistics Denmark, . In the statbank the figures are published under the subject , Marinas, and , All 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 marinas 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/nights-spent-at-marinas

      Documentation of statistics

      Documentation of statistics: Workplaces and jobs

      Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Workplaces and jobs 2024 , Previous versions, Workplaces and jobs 2023, Workplaces and jobs 2022, Workplaces and jobs 2021, Workplaces and jobs 2020, Employment in Businesses 2019, Employment in Businesses 2018, Employment in Businesses 2017, Employment in Businesses 2016, Employment in Businesses 2015, Employment in Businesses 2012, Employment in Businesses 2013, The purpose of the statistics on workplaces and jobs is to provide insight into the number of workplaces and the number of jobs at these workplaces as of the end of November. Additionally, full-time employment for the year and the annual wage sum are published. The statistics can be broken down by industry, sector, workplace municipality and workplace size. The statistics have been compiled since 1990 and replaced the register-based workplace statistics, which covered the period from 1980 to 1989, Statistical presentation, The statistics on workplaces and jobs are published annually and include information on the number of workplaces and jobs as of the end of November, as well as figures on full-time employment and total wages for the year. Jobs may be held by self-employed persons, assisting spouses, or employees. The statistics can be disaggregated by municipality, industry, sector and workplace size., Read more about statistical presentation, Statistical processing, The Workplaces and Jobs statistics are compiled based on the Labour Market Accounts (AMR_UN). Subsequent data processing and error correction are carried out., Read more about statistical processing, Relevance, The statistic is used for planning and analysis, among other purposes. Furthermore, the statistics serve as input to Statistics Denmark's Business Register., Read more about relevance, Accuracy and reliability, The primary data source for information on jobs and wages for employees, through the Labour Market Accounts, is the e-income register. This register is based on information reported by employers to the tax authorities. Since it includes data on taxable items such as wages, the quality of the information is high. The reports cover the entire relevant population, meaning it does not carry the same uncertainty as statistics based on random sampling. For this reason, the statistic is considered to be of high quality., Read more about accuracy and reliability, Timeliness and punctuality, Until 2016, the statistic was published 16–18 months after the reference date. From 2017 onwards, it has been published 10–11 months after the reference date. The statistic is generally released on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1990, but with breaks in the time series. Breaks occur in 2002, 2005, 2008, and 2022. From 2022, there is a change in how it is determined whether a business is truly active, which means that the number of workplaces has increased slightly compared with the previous method of calculation., Read more about comparability, Accessibility and clarity, Figures are published under the subject , Workplaces and jobs, . For more information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/workplaces-and-jobs

      Documentation of statistics

      Documentation of statistics: Account Statistics for Fishery

      Contact info, Food Industries , Charlotte Spliid Hansen , +45 29 41 97 76 , CHH@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2023 , Previous versions, Account Statistics for Fishery 2022, Account Statistics for Fishery 2021, Account Statistics for Fishery 2020, Account Statistics for Fishery 2019, Account Statistics for Fishery 2018, Account Statistics for Fishery 2017, Account Statistics for Fishery 2016, Account Statistics for Fishery 2015, Account Statistics for Fishery 2014, Account Statistics for Fishery 2013, Account Statistics for Fishery 2012, The purpose of the Account Statistics for Fishery is to review the economy of the fishery sector. The statistics is used in economic models and as a basis for yearly economic statistical reports for the fishery to EU (DG Mare). The statistics has been produced by Department of Food and Resource Economics at University of Copenhagen since 1996 and was transferred to Statistics Denmark from January 2009., Statistical presentation, The Account Statistics for Fishery covers the commercially fishery by fishing vessels registered in Denmark. The statistics is based on vessel units and is calculated for groups of fishing vessels (fleet segments) based on vessel size and main gear use., Read more about statistical presentation, Statistical processing, The authorized accountants report yearly the account for their fishery client. The collected accounts are thoroughly tested. When all accounts has been approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample. The complete dataset with individual balanced accounts for all units in the population is merged with register data on vessel characteristics, gear use etc. in order to calculate parameters for statistical groups (vessel segments)., Read more about statistical processing, Relevance, The statistics is relevant for government administration, researchers and stakeholders within the fisheries. Furthermore the data is used in the Fleet Economic Report to EU. , Read more about relevance, Accuracy and reliability, The statistic is based on a sample and the results are uncertain. The precision rely on the covering of the sample. Therefore the sample rate is bigger for vessels with high revenue. The aim is each year to include the 100 biggest vessels in the sample, and that approximately 80 per cent of the total value of landings in Danish fishery come from the vessels in the sample. Investments have the most uncertainty, because exchange of a vessel could result in closure of the fishing firm, and set up a new firm to run the new vessel., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the refence year., Read more about timeliness and punctuality, Comparability, The Account Statistics for Fishery is prepared using the same overall principles as the account statistics for agriculture, horticulture and aquaculture. The statistics has been prepared yearly since 1996. Break in series occurs in 2022 due to changes in methods for calculation population cutoff, as well as a new and improved basis for classifying which fishing types the vessels are grouped into. Break in series also occurs in 2001 due to inclusion of unpaid salary to active (working) partners, and in 2009 and again 2012 due to improved calculation of the capital value of fishing rights., Read more about comparability, Accessibility and clarity, The statistics is published yearly in NYT from Statistics Denmark. Data is accessible on StatBank Denmark in the tables AKFIREGN, FIREGN1, FIREGN2 and NFISK. More information on the statistics subject web-page: , Fishery, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/account-statistics-for-fishery

      Documentation of statistics

      Documentation of statistics: Number of Persons Employed in the Construction Industry

      Contact info, Short Term Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Number of Persons Employed in the Construction Industry 2024 , Previous versions, Number of Persons Employed in the Construction Industry 2020, Number of Persons Employed in the Construction Industry 2019, Number of Persons Employed in the Construction Industry 2018, Number of Persons Employed in the Construction Industry 2017, Number of Persons Employed in the Construction Industry 2016, Number of Persons Employed in the Construction Industry 2015, Number of Persons Employed in the Construction Industry 2014, The purpose of the statistic is to show trends in the number of employed within the private construction industry by kind of activity and type of work (new buildings, repair and maintenance of buildings, civil engineering, etc.). The first sample survey of employment in the construction industry was conducted in 1961., Statistical presentation, The statistic provides information on trends in the number of employed within the private construction industry. Employment is analyzed by kind of activity and type of work (new buildings, repair and maintenance of buildings, and other)., Read more about statistical presentation, Statistical processing, The reported data is scaled to the total population of professional units with main activity in construction. No numbers are imputed. The total employment in each construction industry and each type of construction work is seasonally adjusted. The cross between construction industry and type of construction work is not seasonally adjusted., Read more about statistical processing, Relevance, Interest in the statistic is high among users. Users of the statistics are trade associations, banks, politicians, public authorities, international organizations, private business enterprises and the news media. The statistics are a supplement to the other short-term statistics relating to this area., Read more about relevance, Accuracy and reliability, The quality of the statistic is assessed as being high. There are no quantitative measures of the total uncertainty. The sample uncertainty for the total employment is estimated to be approximately 0.5 pct. The uncertainty that results from non-response, wrong reported numbers and misunderstandings has little effect on the numbers. The statistic is reliable in the sense that previously published numbers rarely are revised., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published four times a year, media January, April, July and October. Time from the census-date to publication is about 9 weeks. The statistic is normally published at the announced time., Read more about timeliness and punctuality, Comparability, I the archive there are unemployment numbers dating back to 1994 Numbers from years before 2000 are not comparable to the new time series. The statistics on employment in the construction industry supplement the other short-term statistics relating to this area., Read more about comparability, Accessibility and clarity, The newest numbers are published at , STATBANK, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/number-of-persons-employed-in-the-construction-industry

      Documentation of statistics
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