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    Documentation of statistics: Legal Activities

    Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Legal Activities 2023 , Previous versions, Legal Activities 2021, Legal Activities 2020, Legal Activities 2019, Legal Activities 2018, Legal Activities 2017, Legal Activities 2016, Legal Activities 2015, Legal Activities 2013, The purpose of the statistics Legal Activities is to provide information on turnover and types of services in enterprises with Computer services as main activity. The statistics is also used in the compilation of the national accounts and for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2003. Prior to 2012 it was called Product Statistics for Legal Activities. From 2023 the statistics has been changed to only cover enterprises with at least 5 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU). , Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Legal activies. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population., Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2003, but it can be problems in comparing figures over time. The questionnaire, the sample design and the calculation method have been adjusted a few time, in 2013, where the time series back to 2012 has been backcasted using new method and from the reference year 2023 where the statistics only covers enterprises with at least 5 employees. , Read more about comparability, Accessibility and clarity, These statistics are published in a collective News from Statistics Denmark , Serviceydelser for serviceerhverv, . The figures can be found in the StatBank under , Legal activities, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/legal-activities

    Documentation of statistics

    Documentation of statistics: Home Appliances (Discontinued)

    Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Home Appliances 2023 , Previous versions, Home Appliances 2022, Home Appliances 2020, Home Appliances 2019, Home Appliances 2018, Home Appliances 2017, Home Appliances 2016, Home Appliances 2015, These statistics shows Danish families' possession of electronics in the household. New electronic products are constantly being developed, which over time become commonplace in Danish homes. The products in the statistics are replaced on an ongoing basis, so that new ones are included, while others are removed as they have become commonplace, e.g. smart TV. The survey has been compiled since 1990 and the statistics have been comparable ever since. Before 2000, the surveys were conducted in October. Since 2001, data are collected in April., Statistical presentation, These statistics are an annual survey of how many percent of Danish families who possess different types of electronics, e.g. robot vacuum cleaners, smart TV and smart phones etc. , Read more about statistical presentation, Statistical processing, For the time being the sample of an omnibus survey consists of 1,500 persons, drawn from a population of persons aged 16-74 residing in Denmark., As it is not possible to interview all 1,500 persons, each completed interview is given a personal weight, which corrects the effects of non-sampling and non-response (including no telephone) and ensures that the results cover the whole population in the sample. , However, the questions on home appliances do not concern the individual person, but the family he/she is living with. For that reason the answers are given a family weight, which ensures that the families with different numbers of persons aged 16 years or over are represented in the sample with varying probability. A family is defined as one or several persons between 16 and 74 years who live in the same accommodation and are related (includes also cohabiting couples) and their children, though there can only be one married or cohabiting couple in the family. The sum of the family weight for all completed interviews, gives the number of families in Denmark that have persons aged between 16 and 74 years., In the frame of data validation the check of the data correctness is conducted by checking the consistency of the responses by every single respondent, comparison of the results with the results of the previous year, as well as comparison of the non-response rate are also undertaken., Read more about statistical processing, Relevance, The press use the information to inform about developments in home appliances., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65 pct., which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated to range between +/- 3 percentage points., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The number and nature of the electronic products, that are included in the studies are replaced along the way, so that new products that - especially as a result of technological development - become interesting are added. Products that have become common property in almost every family are discontinued. Therefore comparison over longer periods some times could be difficult., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home appliances, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-appliances---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: Victims of Reported Criminal Offences

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Victims of Reported Criminal Offences 2024 , Previous versions, Victims of Reported Criminal Offences 2023, Victims of Reported Criminal Offences 2022, Victims of Reported Criminal Offences 2021, Victims of Reported Criminal Offences 2020, Victims of Reported Criminal Offences 2019, Victims of Reported Criminal Offences 2018, Victims of Reported Criminal Offences 2017, Victims of Reported Criminal Offences 2016, Victims of Reported Criminal Offences 2015, Victims of Reported Criminal Offences 2014, Victims of Reported Criminal Offences 2013, Documents associated with the documentation, Note on victims of rape (2024) (docx), The purpose of "Victims of reported criminal offences" is to analyze the number of victims of police reported offences assaulting or causing harm to people. The statistics on victims of reported criminal offences date back to 2001., Statistical presentation, The statistics on victims of reported criminal offences form part of the Danish System of Criminal Statistics which includes data on criminal cases from the reported offences and victims and charges to the convictions plus arrests and imprisonments. The statistics of victims of reported criminal offences are case statistics, which show the number of victims of some particular police recorded offences, i.d. sexual offences, violence and some property offences as robbery and bag snatching., Read more about statistical presentation, Statistical processing, The source of the statistics is The Administrative System of the National Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant victim cases are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. 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 come from a single administrative register system, and Statistics Denmark receives one total register extract containing all the victims of criminal offences reported to the police in Denmark. , However, it is evident from victimization surveys that the statistics on reported criminal offences underestimate the actual number of crimes, as it is far from all crimes which are reported to the police (hidden criminality). , Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2-3 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time. However, the number of victims of homicide is underestimated for the years 2001-2009. , UN collects annual data from the member states on victims of homicide and publishes statistics based on this. However, the definition of homicide can differs between countries and comparisons based upon absolute figures can therefore be misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Victims of reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/victims-of-reported-criminal-offences

    Documentation of statistics

    Documentation of statistics: Economy-wide material flow accounts

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Economy-wide material flow accounts 2023 , Previous versions, Economy-wide material flow accounts 2022, Economy-wide material flow accounts 2021, Economy-wide material flow accounts 2020, Economy-wide material flow accounts 2019, Economy-wide material flow accounts 2018, Economy-wide material flow accounts 2017, Economy-wide material flow accounts 2016, Economy-wide material flow accounts 2014, Economy-wide material flow accounts 2013, The material flow accounts can be used to describe and understand the interaction between the country's economy and the consumption of natural resources. In the material flow accounts, the weight of the materials used in the country's economy as a whole is calculated. Additionally, the total amount of resources globally extracted to produce the materials and goods used in the economy is estimated using raw material equivalents. Material flow accounts measured by weight have been compiled since 2014 and contain published data from 1993 onwards. Material flow accounts measured in raw material equivalents are available from 2008 onwards., Statistical presentation, The material flow accounts are an annual report on the weight of Danish resource extraction, as well as the import and export of goods and natural resources distributed by material types, while the raw material equivalents indicate the amount of raw materials globally used to produce the goods included in the material flow accounts. In both accounts, three derived indicators are also calculated, namely direct material input, domestic material consumption, and physical trade balance. Raw material equivalents are also calculated for imported and exported goods and services., Read more about statistical presentation, Statistical processing, The EW-MFA and the RME are compiled on the basis of internal sources on resource extraction, import and export The RME account is based on modelling. , Read more about statistical processing, Relevance, The Material Flow Accounts and raw material equivalents are relevant for anyone seeking information on the relationship between the economy and the use of natural resources. The results are pertinent for analyses of sustainable resource consumption, as domestic material consumption serves as an indicator for two of the UN's sustainability goals. The accounts are requested by ministries, agencies, consulting firms, among others. The accounts are part of the European environmental economic accounts collected by Eurostat., Read more about relevance, Accuracy and reliability, The overall Material Flow Accounts are based on a range of well-established official statistics. However, the information about the weight of different material types relies in some cases on conversion factors from other units, introducing uncertainty. Additionally, the raw material equivalents are based on a relatively new calculation method involving model calculations and a wide range of assumptions and estimates. Consequently, these figures are associated with greater uncertainty and primarily express orders of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published three years and three months after the end of the reference period. The statistics are typically published without delays compared to the planned timing., Read more about timeliness and punctuality, Comparability, The Material Flow Account follows the UN's standard for environmental economic accounts, the System of Environmental Economic Accounting (SEEA). Therefore, the account is comparable to other countries' Material Flow Accounts that adhere to the same guidelines., Read more about comparability, Accessibility and clarity, These statistics are in a Danish press release. In the StatBank, these statistics can be found under the subject , Material flows and waste, . In addition the statistics has a , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economy-wide-material-flow-accounts

    Documentation of statistics

    Documentation of statistics: Parental leave benefits

    Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , AOM@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2024 , Previous versions, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on a total extraction from 13 central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a 14th table, which is very large. Selected variables from the 14 tables are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure. The Barselsstatistik Register is formed by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Cultural Business Structure and Labour Market

    Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Cultural Business Structure and Labour Market 2023 , Previous versions, Cultural Business Structure and Labour Market 2022, Cultural Business Structure and Labour Market 2021, Cultural Business Structure and Labour Market 2020, Cultural Business Structure and Labour Market 2019, Cultural Business Structure and Labour Market 2018, Cultural Business Structure and Labour Market 2017, Cultural Business Structure and Labour Market 2016, Cultural Business Structure and Labour Market 2015, Cultural Business Structure and Labour Market 2014, Cultural Business Structure and Labour Market 2013, Cultural Business Structure and Labour Market 2012, The purpose of the statistics is to analyze workplaces as well as persons employed within the cultural sector. The statistics is compiled from 2008 and is published annually., Statistical presentation, The statistics on Cultural Business Structure and Labour Market are compiled annually and provide data on workplaces, entrepreneurs, jobs and persons employed in the cultural sector. Detailed results are disseminated through a number of tables in StatBank Denmark and main results and links to tables can be accessed at the subject page for economic conditions for culture as well as in the annual publication Culture (from 2015 and onwards)., Read more about statistical presentation, Statistical processing, The statistics is based on edited register data from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. The number of jobs are calculated for workplaces (establishments) in relevant activity sectors and are linked to personal data on e.g. age and educational status for employees., Read more about statistical processing, Relevance, The statistics is accessible for everybody and can be used for summaries of the entrepreneurship, educational status and employment within the cultural sector. The statistics may be used for analyses, planning and debates on the topic of cultural employment, etc., Read more about relevance, Accuracy and reliability, The statistics is based on validated data from Statistics Denmark's central registers that form the basis of official statistics, refer to the documentations of statistics for Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. No actual measurement of the quality and no calculations on measures of accuracy has been performed., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 20 months after the end of the reference period awaiting the compilation of source register data. It is a fairly new statistics that has been published punctually., Read more about timeliness and punctuality, Comparability, The current time series starts in 2008 and is without any data breaks. The statistics can be compared to selected results from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. Eurostat and Unesco regularly publish reports on the same subject matters as this statistics., Read more about comparability, Accessibility and clarity, These statistics are published annually in the StatBank under the subject , Education and employment in the cultural field, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-business-structure-and-labour-market

    Documentation of statistics

    Documentation of statistics: Development in Rents (housing)

    Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent., Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 (only approx. 85,000 for 1. quarter 2022) rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

    Documentation of statistics

    Documentation of statistics: Corporate Taxation

    Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2023 , Previous versions, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are 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 among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, The statistics are published annually in a Danish press release. In the StatBank the figures are published under , Corporation taxation, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

    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