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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, Documents associated with the documentation, Genudgivelse af barselsdagpengedata for fødselsårgange 2017-2023 (pdf) (in Danish only), 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: Population Projections

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

Documentation of statistics

The Enterprise Package

Get An overview of Denmark’s imports and exports of goods , The Enterprise Package is a standard solution specifically suited for private companies wishing to follow the foreign trade in certain goods. It may be items that you already deal with or goods you intend to import or export in future., Identify opportunities and challenges, The starting point of the package is the products you wish to map. The actual list shows how much is imported and exported of a particular product and to and from which countries the product is imported and exported. The list contains both figures for the quantity and the value., You can use the product as a tool for analysis, e.g. if you want to:, Identify potential export opportunities, Know how much of a particular product is imported into the domestic market, Find economic growth areas for particular products, Content and documentation, Data are based on extracts from Statistics Denmark's table KN8MEST. and contains monthly, quarterly and yearly figure. The figures are summed up by quarters and years, but since data for the past month only include trade with Extrastat countries, the most recent quarter and year are incomplete. The price per kg is a calculated value and if a unit other than kg occurs, then that price per unit is also calculated. Below you can see an example of a delivery., Example of a delivery, Reliability,  for errors , Date of publication, Revisions of the figures, Read the documentation and more about the content of the foreign trade statistics here., Prices, Depends on the number of product codes you want data for. Prices range from , DKK 2,921 excl.,  , VAT,  (DKK 3,651.25 incl. VAT) for 1-8 product codes to , DKK 37,394 excl. VAT , (DKK 46,752.50 incl. VAT) for more than 200 product codes. Prices are covering data delivery for a full calendar year. The package contains monthly, quarterly and yearly figures., Price list - the Enterprise package_2023, Delivery, You will receive the tables once a month in Excel and we will send them by e-mail. The package contains monthly, quarterly and yearly figures. The first delivery (January figures) takes place in March. The December figures for the subscription year will be delivered in February of the following year. If you start a subscription in eg. August, you will receive figures for the part of the year that has passed (+ the year before) in the first delivery and then figures for one new month each month, until the last figures for the calendar year/reference year have been received. , ORDERING, Click on the link below and complete the form., Order, Please note that by ordering you accept , Statistics Denmark's General Terms and Conditions of Agreements, CONTACT INFORMATION, DST Consulting, Tel. +45 3917 3600, Amy Frølander, tel. +45 39 17 37 49, TAILOR-MADE SOLUTIONS, It is also possible to combine the tables with other variables or have them combined in a different way than in our standard tables. Read more about our , tailor-made solutions, or send an email to our consultants at , DST Consulting, .

https://www.dst.dk/en/TilSalg/produkter/erhvervsliv-og-handel/firmapakken

Access to business data

Business data refers to data on Danish enterprises and Danish trade and industry. This page gives an overview of who can get access to business data from Statistics Denmark and the possibilities to apply for an exemption to get access. , Business data and business data with limited access, Business data from Statistics Denmark covers a wide range of data on industries and data on the size, location, accounts, employment, development over time, etc. of Danish enterprises. Some types of business data involve competition- and market-sensitive information, which is why access is limited. For example when data concerns the activities or financial affairs of enterprises., See the overview of business data with limited access in Statistics Denmark (Excel, in Danish) , Note, : To protect competition- or market-sensitive information, business data with limited access is not available until at least one year after the reference year., Business data – who has access?, A person can get access to all (pseudonymised) business data in Statistics Denmark, including business data with limited access, if that person has an approved association agreement with a Danish institution that is authorised under Statistics Denmark’s Research scheme and that is , a Danish public institution, or , a private Danish institution in the category “interest organisation, think tank, etc.”, ‘Danish institution’ means an institution within the national community of Denmark, Greenland and the Faroe Islands. You can find the special rules for Greenland and the Faroe Islands under , Authorisation of institutions, ., Business data with limited access – who does not have access?, Generally, people employed in Danish private consultancies may not get access to business data with limited access., People employed by other Danish or foreign private companies (such as banks, pension funds and insurance companies) or by foreign consultancy firms are not permitted to access business data with restricted access., Business data with limited access – who can apply for an exemption? , In connection with specific projects, Danish private consultancies that do not have access in general to business data with limited access can apply for an exemption. This is only an option if:   , the data controller institution for the project is a public, Danish and authorised institution (see “a” above) or , the data controller institution for the project is a private and Danish institution in the category “interest organisation, think tank, etc.” (see “b” above) or, the data controller institution for the project is a public, Danish institution and an institution authorised as a client, which engages a private consultancy to perform an analysis for the institution for which business data with limited access is needed and the consultancy’s authorisation does not grant access to this data. , Read more under Authorisation of institutions, Apply for an exemption , If you are eligible to apply for an exemption (and thus comply with item 1, 2 or 3 above) and want to apply, please inform the project owner in Statistics Denmark early in the project proposal process. This ensures that the project owner can take this into consideration during the approval of the project proposal.  , Furthermore, you need to complete the request template from Statistics Denmark and send it to your project owner, when the project for which you are applying for business data with limited access has been approved., Template for request for exemption for business data with limited access (docx, template only available in Danish), Note, : The request template must be adjusted with your own official business stationery design, signed and sent (in Word or PDF format). If you need help filling in the template, for example purpose and description, you can consult Statistics Denmark’s guide on , how to create a project proposal, . , Request for exemption – how does it work?, For every request for exemption, Statistics Denmark makes a thorough assessment in four steps: , When the project proposal has been approved, the data controller institution completes a request template, adapt it with their own official business stationery design, sign it and send it to the project owner in Denmark’s Data Portal., The project owner in Denmark’s Data Portal assesses if there are grounds for an exemption. Note: The criteria for approval are the same as for a project proposal. , Read more in How to create a project proposal, The project owner in Denmark’s Data Portal sends the request for exemption for approval by the Director General of Statistics Denmark., When the request for exemption has been approved, the approval is returned to the data controller institution and the consultancy charged with the task., If you have questions about exemption, please contact , danmarksdatavindue@dst.dk, or your project owner in Denmark’s Data Portal. In the subject field, you should write: , ’Project number xxx - Re. exemption with respect to business data with limited access’, .,  

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/adgang-til-erhvervsdata

Certification of users

All users working with data in one of Statistics Denmark’s microdata schemes must achieve certification. The certification ensures that everybody knows the data security rules under Statistics Denmark’s microdata schemes and feels safe using and transferring data. To ensure continued high focus on the data security rules, all users must subsequently achieve re-certification once a year.,  , Certification in practice, In practice, the certification takes place via DDP App, where you must pass a test with questions on the data security rules described in , Denmark's Data Portal's data security rules under the microdata schemes (pdf), . It is a good idea to read the rules before you start. You have three attempts per day to pass., See the video guide for user certification (in Danish), This is how you do it:, Log into DDP App with your three/four-character ident and password., On your landing page, select the window ‘Learning and certification’. , Then select the tab ‘Certifications’. If it does not drop down automatically, click the small blue arrow., Answer the certification questions by clicking ‘Start certification’ and ‘OK’ in the info box that pops up., Answer the questions by clicking the option you believe to be correct., When you have answered all the questions, you click the button ‘Submit answer’, which has turned blue meanwhile., If you answer all ten questions correctly, you have passed the certification and you are considered able to handle data in accordance with our data security rules., Under ’Result’, your status will be indicated as ’Passed’, and a green info box appears with the text ’Congratulations, you have passed’., Under ’Resultat’ vil din status figurere som ’Bestået’, og der vises en grøn infoboks med teksten ’Tillykke, du har bestået’. , If you do not answer all ten questions correctly, you can see under ’Result’ how many questions you answered incorrectly in your attempt and how many remaining attempts you have. Furthermore, a red info box appears with the text ‘Sorry, you have not passed’., a) If you have more attempts left and want to re-take the test, press ’Certification front page’ and start over. Note that you have three attempts per day and that the questions change from time to time. Consider re-visiting the data security rules, before you try again., b) If you do not have any attempts left, your access to your projects will be locked for 24 hours. The small watch icon indicates when the 24 hours are up. After that, you can take the test again., The certification questions, The test contains questions about the data security rules (, data security rules under the microdata schemes (pdf), ). Since Statistics Denmark’s data security rules may differ from the practice in other institutions, it is important to read and know the rules under the microdata schemes. Knowing the rules is also the basis for answering the ten certification questions correctly. , Read more about the data security rules under Rules on transfer of analysis results , The questions are about access to researcher machines, pseudonymisation, transfer rules and working in general with data. Below you will find an example of a question that you can encounter in the certification test:, Question 1:, You have collected a survey that you are working on locally. You have registered the survey with the Danish Data Protection Agency, so the permits are in place. You have also sent the survey to Statistics Denmark to have the option of linking the survey with register data on the researcher server. Which is the correct statement?, Reply options:, a. You are allowed to download/transfer microdata from the survey that you have uploaded yourself., b. The only microdata you are not allowed to transfer, is microdata provided by Statistics Denmark to your project., c. Retrieval of microdata is never allowed regardless of data source.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/certificering-af-brugere

Documentation of statistics: Transport by Ferries and Passenger Ships

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 3 , Previous versions, Transport by Ferries and Passenger Ships 2025 Quarter 1, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., 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 , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

Documentation of statistics

Documentation of statistics: Cultural Habits Survey

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , AYB@dst.dk , Get documentation of statistics as pdf, Cultural Habits Survey 2025 , Previous versions, Cultural Habits Survey 2024, Cultural Habits Survey 2023, Cultural Habits Survey 2022, Cultural Habits Survey 2021, Cultural Habits Survey 2018-2021, Cultural Habits Survey 2018, Cultural Habits Survey 2012, Documents associated with the documentation, Spørgeskema for Kulturvaneundersøgelsen 2018-2023, faste spørgsmål (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2024 (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2025 (pdf) (in Danish only), The purpose of the Cultural Habits Survey is to document the cultural habits of the residents of Denmark. Culture is broadly defined, as the survey covers habits within the topics of culture, media and recreational activities, e.g. concerts, performing arts, cinema, literature, exercise, digital games and hobbies. The survey has been carried out regularly since 1964. Statistics Denmark has carried out the survey from 2018-2023 and in 2024-, while previous surveys have been carried out by the Ministry of Culture. The survey has been carried out with a new questionnaire since the first quarter of 2024, and is therefore not directly comparable with previous versions., Statistical presentation, The Cultural Habits Survey is an interview based quarterly survey among a random sample of Danish residents 16 years or older, which documents the consumption of cultural and recreational activities. The consumption of these activities may occur both in Denmark and abroad. The cultural consumption is grouped in various statistics by i.a. age, gender, education and degree of urbanisation. The current Cultural Habits Survey is ongoing and was first collected in the first quarter of 2024. The survey is communicated in Danish language press releases and in StatBank Denmark., Read more about statistical presentation, Statistical processing, The Cultural Habits Survey is an interview based quarterly survey among a random sample. The survey is carried out by both computer-assisted web interviews (CAWI) and computer-assisted telephone interviews (CATI). Approximately 4,800 responses are collected each quarter. The questionnaire is divided into a general part answered by all participants and four sub-parts, each answered by roughly a fourth of the respondents surveyed via CAWI. Using demographic information from Statistics Denmark's register of the Danish population, the respondents are weighted to compensate for non-response. Data is inspected for errors. A yearly dataset is compiled by the combination of the data for each quarter of the year., Read more about statistical processing, Relevance, The Cultural Habits Survey is carried out and developed in close cooperation with the Ministry of Culture and is the ninth in the series of the cultural habits of Danish residents carried out since 1964. The current survey accommodates a series of user needs, among which are more frequent statistics, the possibility for investigating geographic variation and the surveying of a broader definition of culture. The user needs have been identified through a thorough assessment of the Cultural Habits Survey 2018-2023. The assessment comprised the Ministry of Culture, researchers and users from public institutions., Read more about relevance, Accuracy and reliability, The Cultural Habits Survey is based on approximately 4,800 responses per quarter, which is a robust amount of data, contributing to lessening the sampling error. The error of the estimates are further reduced by the use of a mixed mode of data collection and multiple attempts at contacting each respondent. The error is however significantly greater for those questions which are part of the four sub-parts as these are each based on an amount of data roughly one fourth the size of the total amount., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference period. The statistics are published without delay compared to scheduled publishing times., The statistic on membership for youth and outdoor activities organisations is published yearly in June, with data for the preceding year., Read more about timeliness and punctuality, Comparability, The survey has been carried out since 1964, but is in its current form only comparable with earlier versions to a limited degree. This is partly due to societal and technological changes and partly due to changes in the needs of users which has resulted in major revisions of the questionnaire in 2018 and 2024. The questionnaire is developed according to UN guidelines and is therefore partly comparable to statistics from other countries, among these the Nordic countries and EU countries., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . In the StatBank, the figures are published under , Cultural and recreational activities, . For more information, see the , topic page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-habits-survey

Documentation of statistics

Documentation of statistics: The importance of cultural and creative industries in the national economy

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , ayb@dst.dk , Get documentation of statistics as pdf, The importance of cultural and creative industries in the national economy 2023 , Previous versions, The importance of cultural and creative industries in the national economy 2022, Documents associated with the documentation, Delimitation of activities (pdf), The purpose of the statistics on the economic importance of cultural and creative industries in the national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them., Statistical presentation, The statistics convert activity in the cultural and creative industries at the most detailed level of the Danish Industrial Classification 2007 into the national accounts' industry classification and national accounting concepts such as production and gross value added. This alignment with the national accounts' industry groupings enables both an input-output model calculation of indirect effects in other industries supporting cultural and creative production, and a comparison of key figures with those for other parts of the Danish economy. The results are categorized by cultural subjects and creative industries., Read more about statistical presentation, Statistical processing, The statistics link the production in selected 6-digit activity codes from the Danish Industrial Classification 2007, which cover cultural and creative industries, to the production in the 117-industry classification of the national accounts. This enables the use of an input-output model to calculate the indirect effects in other industries. The indirect effects in sectors other than the cultural and creative industries are calculated by integrating the cultural and creative production into an input-output model. The calculations are based on ESA2010 and the supply and use matrices of the national accounts, which underpin the official national account figures., Read more about statistical processing, Relevance, The cultural industry has significant non-market activity, as well as considerable direct and indirect government support and contributions from private foundations. This statistics can capture these aspects and provide more accurate figures for the sector's economic impact, taking these factors into account. The statistics are based on a value chain approach, distinguishing between the arts, culture etc., are produced and practiced, as well as activities surrounding the creative and performed activities, such as wholesale, retail, distribution, etc. The statistics provide insights into the significance of the various components., Read more about relevance, Accuracy and reliability, The statistics are based on sources with uncertainties, such as weights from the General Enterprise Statistics and trade in goods and services, as well as assumptions made in the construction of national accounts and input-output tables. Preliminary versions of the most recent reference year contribute to additional uncertainty. The input-output table and model assumptions result in lower precision compared to directly observed data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately three months after the release of a new reference year for the input-output tables and the final national accounts, which usually occurs at the end of June, i.e., approximately 20 months after the end of the reference year. This includes the release of both preliminary and final figures., The input-output tables are published once a year, simultaneously with the release of the final national accounts. The publication date for the final reference year is 2.5 years after its conclusion. The two preliminary years are published at the same time as the final year, 2.5 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2014 to 2022 with final statistics, as well as 2023 with preliminary statistics. The statistics are comparable across the entire period. , It is possible to find statistics on the economy and employment in the cultural sector in other countries, even though there are no international guidelines for producing this type of statistics. The EU, Eurostat, and UNESCO also regularly publish reports that overlap thematically with these statistics and the cultural sector in general., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press realease, at the same time as the tables are updated in the StatBank. In the StatBank these statistics can be found under the subject , Economy in the cultural field, ., For more information, visit the topic page , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-importance-of-cultural-and-creative-industries-in-the-national-economy

Documentation of statistics

Documentation of statistics: Income Statistics

Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, Income Statistics 2024 , Previous versions, Income Statistics 2023, Income Statistics 2022, Income Statistics 2021, Income Statistics 2020, Income Statistics 2019, Income Statistics 2018, Income Statistics 2017, Income Statistics 2016, Income Statistics 2015, Income Statistics 2014, Income Statistics 2013, Documents associated with the documentation, Imputering af huslejenedsættelser i 2024 (pdf) (in Danish only), The purpose of the income statistics - is to provide statistics on the population's incomes and tax payments as well as the distribution of incomes. The statistics are useful in the field of social sciences and form the basis for effective policymaking in areas that affect the economic situation of the households. Statistics Denmark has published statistics on income since 1905 and has coherent time series going back to the 1980’s., Statistical presentation, The income statistics are based on a full-population register. It contains information on annual incomes at both the personal- and family level as well as data on the distribution of income. The income is available both pre- and post taxes and can be split into subcategories such as primary income, transfers, property income and taxes. In the income statistics the population is divided into groups by age, socio-economic status, gender, municipalities (NUTS-3), type of family and into income intervals., Read more about statistical presentation, Statistical processing, Data is collected and published yearly. The primary source is administrative data from the Danish tax authorities. Using secondary sources from the municipalities and unemployment funds the incomes are subdivided into more detailed types of income. Finally other registers in Statistics Denmark, such as the population register, provide background information., In case of inconsistencies between data sources on the total income amounts, the data are fitted to match the level of the tax authorities, which are assumed to be correct., Read more about statistical processing, Relevance, The primary users of the income statistics are ministries, municipalities, research institutes and the media. An annual meeting with some of the users of the main welfare statistics is held in Statistics Denmark. On a daily basis users call with questions related to the statistics or comment on our publications on social media. Through these interactions with the users we continually assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, The quality is in general considered to be very good for the income types included in the statistics as data have been validated by the tax authorities. Undeclared incomes, winnings in lotteries etc. may result in a mismatch between actual and registered income., As the income statistics are based on full-population registers, there are no sampling errors., In 2024 data is extracted in August. Thus revisions after this date will not be taken into account in the income statistics., Read more about accuracy and reliability, Timeliness and punctuality, Most tables on income statistics are published in September, nine months after the end of the income reference year along with the annual newsletter. Socio-economic status, imputed rent, disposable income and income distribution indicators are published in November. , The statistics have usually been published as planned., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time, but special circumstances affect individual years. COVID-19 and aid packages are important in 2020-2021. In 2022, one-off payments due to inflation are included, and in 2024, 1 month's free rent for certain rental housing units is included as housing benefit. Holiday funds give differences compared to the national accounts 2018-2021. The statistics were revised in 2013 with retroactive effect to 1987. Internationally, Eurostat and OECD are the recommended sources, but income concepts vary., 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 , Income and earnings, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-statistics

Documentation of statistics

Documentation of statistics: A-Income Statistics (income subject to provisional tax)

Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, A-Income Statistics (income subject to provisional tax) 2024 , Previous versions, A-Income Statistics (income subject to provisional tax) 2023, A-Income Statistics (income subject to provisional tax) 2022, A-Income Statistics (income subject to provisional tax) 2021, A-Income Statistics (income subject to provisional tax) 2020, A-Income Statistics (income subject to provisional tax) 2019, A-Income Statistics (income subject to provisional tax) 2018, A-Income Statistics (income subject to provisional tax) 2017, A-Income Statistics (income subject to provisional tax) 2016, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2013, The purpose of the Provisional Income Statistics is to provide a more up to date picture of the compilation of income than is possible, by means of the final Personal Income Statistics. Compilation of the final Personal Income Statistics have to wait until the tax assessment process has reached a sufficiently acceptable level concerning the A-income (wages, salaries, unemployment benefits and social pensions etc.) and other income, e.g. entrepreneurial income. This does not apply to the Provisional Income Statistics., Statistical presentation, The a-income statistics mainly comprise of wages and transfers. It illustrates the level and composition of the a-income for the tax year and can be split into wages and various types of transfer incomes. The a-income amounts to 90 per cent of the total gross income. The statistics are based on the provisional tax statement for the income. The data is acquired four months after the end of the tax year. The final income statistics is based on a-incomes acquired eight month after the end of the tax year. The final statistics are based on the Statistics Denmark's Register of Incomes Statistics., Read more about statistical presentation, Statistical processing, The type of income in the e-income register is adjusted in-case of inconsistencies between the filing-entity and the type of income., The total transfers are grouped into the different type of transfers by merging the e-income register with the register of people receiving public benefits., Data on specifically 2020 and 2021 are supplemented with data from the Danish Business Authority on employer´s compensation on wages and salaries paid to staff, not able to work during the lockdown, caused by the COVID-19 pandemic., Read more about statistical processing, Relevance, One or two annual meeting with some of the main users of the income and wealth statistics is held in Statistics Denmark. On a daily to weekly basis users call with questions related to the statistics. Trough these interactions with the users we assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, All persons receiving unemployment income is included in the statistics., As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4 to 5 months after the reference period. The statistics are published as planned., Read more about timeliness and punctuality, Comparability, Changing several social benefits from net sum into gross sum (taxable) in connection with the tax reform of 1st January 1994 has caused a minor break in the time series from 1993 to 1994. , There are no similar statistics internationally., Read more about comparability, Accessibility and clarity, The statistics are published on our , website, , in an annual , newsletter, and via the Statistikbanken)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/a-income-statistics--income-subject-to-provisional-tax-

Documentation of statistics