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      Documentation of statistics: Real property taxes

      Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Real property taxes 2025 , Previous versions, Real property taxes 2024, Real property taxes 2023, Real property taxes 2022, Real property taxes 2021, Real property taxes 2020, Taxation of Real Property 2014, Taxation of Real Property 2013, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Statistical presentation, The statistics are a yearly overview of the Danish property taxation. The statistics show the distribution of property taxes to municipalities as well as type of tax (land tax and reimbursement duties). A weighted average is calculated for each region and the entire country. The statistics are published in the StatBank. , Read more about statistical presentation, Statistical processing, The statistics is based on data from the Danish Customs and Tax Administration. The system contains both valuation and tax data. The data is validated against last year's data and against budget figures for the given year, as well as information on which municipalities that has changed their land tax rate. Data are used without further treatment for the publication., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have a few sources of uncertainty. The Danish Customs and Tax Administration’s property tax system is continuously updated with corrections. The public property valuations, which form the basis for calculating assessed property and land values, were frozen during the period 2013–2023, which is therefore a source of uncertainty. In 2024, a new property tax system was introduced, where taxes have primarily been collected based on provisional valuations. , Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November in the income year, where final data is published. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The census has been conducted since 1937, but changes in municipal and county compositions makes comparisons over time difficult. However, in its current form the statistics is comparable from 2007 and onwards. The taxation systems differ widely across countries, which makes the international comparison difficult based on national sources because of concept and calculation differences. The statistics is the basis for determining the property taxes in government finance statistics. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Real property taxes, . Information about the statistics can be found on the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/real-property-taxes

      Documentation of statistics

      Documentation of statistics: Market Value for Households Real Estate

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

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

      Documentation of statistics

      Documentation of statistics: Sickness benefits

      Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, These statistics are published 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 the subject , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

      Documentation of statistics

      Documentation of statistics: Old Age Pension and Disability Pension

      Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Old Age Pension and Disability Pension 2025 Month 01 , Previous versions, Old Age Pension and Disability Pension 2024 Month 10, Old Age Pension and Disability Pension 2024 Month 05, Old Age Pension and Disability Pension 2024 Month 04, Old Age Pension and Disability Pension 2024 Month 03, Old Age Pension and Disability Pension 2023 Month 01, Old Age Pension and Disability Pension 2022 Month 01, Old Age Pension and Disability Pension 2021, Old Age Pension and Disability Pension 2020 Month 01, Old Age Pension and Disability Pension 2019 Month 01, Old Age Pension and Disability Pension 2018 Month 01, Old Age Pension and Disability Pension 2017 Month 01, Old Age Pension and Disability Pension 2016 Month 01, Old Age Pension and Disability Pension 2015 Month 01, Old Age Pension and Disability Pension 2014 Month 01, The purpose of the statistics "Old age and disability pension" are to measure the number of recipients of old age pension or disability pension and the average benefit. The statistics include recipients living abroad. The statistics are consistent from 2009 and onwards. However from 2021 it is available for all months., Statistical presentation, The statistics quarterly describe the number of recipients of old age pension, senior pension, disability pension or early retirement pension, recipients share of the identical population group as well as the average benefit. Old age pension and disability pension are shown separately and are broken down into sex, age, type of benefits, family type and geography. , Read more about statistical presentation, Statistical processing, The statistics are based on complete administrative registers. Data are checked for consistency and at aggregate level compared to data from previous years., Read more about statistical processing, Relevance, The main users are municipalities, ministries and organisations such as Ældre Sagen and ATP. The statistics contain information on the financial living condition of pensioners. Also, data provide the opportunity to estimate the financial effect of changes in legislation. , Read more about relevance, Accuracy and reliability, All recipients of old-age pension and disability pension under the legislation covered, both residents in Denmark and abroad based on Udbetaling Danmarks register. There may be errors and duplicates in the registry that are removed, but it affects less than 0.01 per cent. of the persons to whom money is paid., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in April, July, November and January. The statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, Changes in legislation including changes in the retirement age from 2004 to 2007 and again from 2019 to 2022 affect the number of pensioners. From 1993 to 1994 the old age pension became taxable and increased significantly. A high degree of consistency with similar figures based on the income register or similar statistics in other Nordic countries is expected., Read more about comparability, Accessibility and clarity, These statistics are published annually 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 the subject , Old-age pensioners and disability pensioners, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/old-age-pension-and-disability-pension

      Documentation of statistics

      Documentation of statistics: Shelters

      Contact info, Personal Finances and Welfare, Social Statistics , Chris Cornelia Friis Christiansen , +45 23 13 05 91 , CCC@dst.dk , Get documentation of statistics as pdf, Shelters 2024 , Previous versions, Shelters 2023, Shelters 2022, Shelters 2021, Shelters 2020, Shelters 2019, Shelters 2018, Shelters 2017, Shelters 2015, The purpose of the statistics Shelters is to provide information about the users of the types of accommodation as prescribed by section 110 of the Social Services Act, which includes reception centers etc. The statistics were originally established by the National Board of Social Appeals in 1999. Until July 1st 2016, the Appeals Board managed the statistics, after which it was transferred to Statistics Denmark. , Statistical presentation, The statistics provides an annual statement on number of nights and number of persons who have spent the night on an accommodation established in accordance with section 110 of the Service Act. The statistics are distributed by age, sex, number of nights and number of stays., Read more about statistical presentation, Statistical processing, The received data are reviewed for obvious errors, such as date format and incorrect time periods. The received data are processed with the aim to gather data into one dataset. When all datasets are combined, duplicates, missing departure dates, etc. are validated. Data are linked to the population register in Statistics Denmark for further information about the users., Read more about statistical processing, Relevance, The statistic is relevant for authorities, analysts and scientists, who wants knowledge about the demand and capacity of shelters. , Read more about relevance, Accuracy and reliability, Submitting data is required by law. The number of persons who use a type of accommodation as prescribed by section 110 of the Social Services during the year is measured fairly accurately. In some cases, completion is lacking in categories such as where the citizen is referred from, how the discharge has been taken place and where the user has been discharged to. In these cases, "unknown" is used in regard to the validation. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approx. 6 months after the end of the reference period. The statistics for 2024 has been published without delay in relation to the planned time of publication., Read more about timeliness and punctuality, Comparability, The Statistics has been maintained since 1999, but is comparable in its current form since 2021. Because of a data breach in 2021, data before and after 2021 should be compared with reservations. Men who have a stay at a crisis center by section 109 will no longer be included in the statistic by July 1, 2024. They will be included in the section 109 statistics. In addition, there has been removed and included new variables, why data breach will occur in these informations. , Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 the subject , Shelters and care homes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Book sales

      Contact info, Science, Technology and Culture, Business Statistics , Christian Törnfelt , +45 21 63 60 20 , cht@dst.dk , Get documentation of statistics as pdf, Book sales 2024 , Previous versions, Book sales 2023, Documents associated with the documentation, Genreopdeling ved hjælp af Themakoder (pdf) (in Danish only), The purpose of the statistics Book sales is to shed light on the development of book sales in Denmark. The statistics illustrate the trends in the number of copies sold through physical bookstores and online sales channels. The statistics are new as of 2024 and include data from the third quarter of 2022 onwards., Statistical presentation, Book sales is a quarterly compilation of the number of physical books, e-books and audiobooks sold through physical bookstores (including the largest supermarket chains) and online sales channels. Sales of used books (e.g. from second-hand bookstores, thrift stores, and flea markets) are not included. The statistics are categorized by genre, format/media, publication language, original language and binding type. The data is published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in Statbank Denmark. Data sources and coverage are still under development, and the figures are therefore preliminary. Future revisions may occur., Read more about statistical presentation, Statistical processing, Data for this statistics is collected through monthly transfers of transaction data on book sales units from SAXO.com A/S, Indeks Retail (Bog & Idé), Gucca and the major supermarket chains (COOP, Salling and Dagrofa)., The transaction data is enriched with information from DBK, which manages the Bogportalen and Publizon, allowing the books to be classified by genre, format/media, publication language, original language and binding type. If this information is missing for certain editions, efforts are made to manually complete it using various assumptions., Read more about statistical processing, Relevance, The key users are stakeholders in the book industry, the Ministry of Culture and other interested parties. The statistics are used for analyses in the literature sector., Read more about relevance, Accuracy and reliability, The statistics cover the majority of book sales in Denmark, purchased new. The metadata coverage is considered satisfactory for Danish publications, although coverage is lower for foreign publications. Coverage is also lower for books/book products where the primary purpose is not reading, such as coloring books, board books, activity books, calligraphy books, books with music notation, songbooks, and puzzle books like Sudoku. ISBN errors may occur, but they are not deemed to be a widespread issue., The figures are preliminary, and future revisions may occur as book sales data expands and metadata quality improves., Read more about accuracy and reliability, Timeliness and punctuality, The figures are provisional, and future revisions may occur. The publication of the statistics takes place at the end of November. Since the statistics are new, the punctuality of the statistics cannot yet be described., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable to other published book sales statistics. There are no international guidelines for the production of book sales statistics., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the newsletter Nyt fra Danmarks Statistik (in Danish only) at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Literature, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/book-sales

      Documentation of statistics

      Documentation of statistics: Upper-Secondary Education

      Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, Upper-Secondary Education 2024 , Previous versions, Upper-Secondary Education 2023, Upper-Secondary Education 2022, Upper-Secondary Education 2021, Upper-Secondary Education 2020, Upper-Secondary Education 2019, Upper-Secondary Education 2018, These statistics cover the activity in upper secondary education in Denmark. Upper secondary education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 20 or 35. Upper secondary educations are typically 2-3 years in duration. Upper secondary education statistics are in their current form comparable since 2005 and are part of the overall Student Register, which contains information about all students in ordinary education in Denmark., Statistical presentation, These statistics contain figures about the enrollment and completion in upper-secondary education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin. , Read more about statistical presentation, Statistical processing, The data for these statistics are received yearly in November/December from The Ministry of Children and Education. This means that the data received by Statistics Denmark have already been corrected for errors. In addition, a thorough error searching and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level. The Ministry of Children and Education are involved in cases of substantial corrections., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The data of the statistics are used as background data for most of the personal statistics at Statistics Denmark, and are the basis for several tables in StatBank Denmark about education., Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students as well as for the payment of various financial grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The Ministry of Children and Education conduct error detection of data and the quality of the received data is high. Errors do occur but they are in most cases corrected the following year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 4 months after the reference time, which is 1 October. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current version of these statistics go back to 2005. However, statistics pertaining to upper secondary education in Denmark have been produced prior to 2005. The statistics are internationally comparable as upper secondary education is defined in similar ways internationally., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper-secondary education, . For further information, see the homepage of the , statistics, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/upper-secondary-education

      Documentation of statistics

      Documentation of statistics: Environmental Protection Expenditures

      Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions, Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

      Documentation of statistics

      Documentation of statistics: Industry Survey (Discontinued)

      Contact info, Short Term Statistics , Get documentation of statistics as pdf, Industry Survey 2021 , Previous versions, Industry Survey 2020, Industry Survey 2019, Industry Survey 2018, Industry Survey 2017, Industry Survey 2016, Industry Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the manufacturing industries. The survey was established in 4th quarter of 1963 and is directly connected to and defined by the Business and Consumer Survey joint harmonized program as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. , Statistical presentation, The Tendency survey for manufacturing industries is a qualitative assessment on past three month's developments and next three month's expected developments . The survey assesses developments within production, employment, stock of orders, stock of finished products, capacity utilization, investment plans, limits to production, and others. As of October 2021 the investment plans of the industry has been included in the tendency survey., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 500 manufacturing enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative assessment of changes in net sales, employment, inventories, orders, etc.. The collected data are enumerated from the sample to the total enumeration population (similar to Frame or Survey Population) weighted by employment data, and distributed at industry and enterprise size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The results are reflected upon every month in financial and business related news medias. , Read more about relevance, Accuracy and reliability, Sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. Non-sampling error occurs in connection to non-responses and drop out of the sample. Especially big companies' non-responses a certain month may influence the development from month to month. Finally, there is measurement error connected to the statistics associated with the respondents level of information and knowledge about the company's current state. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published last but one working day before the end of the survey month (expect from the December survey published in the beginning of January). The process runs punctual. In April and October the semiannual figures for investment plans are published. , Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since October 1963. Historical data for Denmark and other European countries is available at the homepage of , (DG ECFIN), . Historically and geographically comparable analyses are possible to carry out based on this data from the EU-Commission's Business and Consumer Survey Programme., As of October 2021 the investment plans for the industry is included in the tendency survey and a backcast of the previous figures have been made., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Industri, and in English at the homepage , Short term trends, . Detailed data is available in English version at , Statbank, ; choose English language and look for the tables BARO1-BARO8. Read , here, about the statistics. Moreover an analysis of the Business Cycle of the industry - Business Cycle Tracer - is published monthly , here, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-survey--discontinued-

      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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