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      Documentation of statistics: Activities in small enterprises

      Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Activities in small enterprises 2024 , Previous versions , Activities in micro enterprises 2022, The purpose of the statistics is to shed light on the activities e.g. the use of ICT in microenterprises, with 5-9 employees. The study focuses on topics with high topicality and attention among users, such as security measures and web sales. The content is replaced every year. The survey is developed in collaboration with users and has been carried out for the first time for 2021., Statistical presentation, The statistics are an annual survey of the activities of small businesses. The subjects that are covered are typically some that users are currently asking for more knowledge about. This could be, for example, sustainability, innovation, social responsibility and digitalisation, including the use of digital business solutions, e.g. the spread of remote meetings, robotics and artificial intelligence. It can also be ICT security measures in the company and the use of various e-sales channels., Read more about statistical presentation, Statistical processing, The statistics are a sample-based questionnaire survey. Data is collected via digital reporting. Data validation takes place in the form of consistency checks in the digital form as well as by subsequent troubleshooting and possible re-contact with the reporting parties. The published results are calculated for the population. There is stratification by industry and size., Read more about statistical processing, Relevance, Statistics Denmark is experiencing an ever-increasing demand for more knowledge about small businesses, particularly in areas such as sustainability, innovation activities and digitalisation. A greater number of variables are replaced annually as a result of new technology and the development of user needs. The ongoing development of the content of the statistics takes place in close dialogue with users., Read more about relevance, Accuracy and reliability, The survey is sample-based, and therefore associated with an uncertainty in the form of random variation in relation to industry and company size. The sampling uncertainty is limited. The survey is compulsory to answer and the response rate is therefore above 90. The enumeration of the responses from the sample to the total population partially corrects for missing responses. Some questions are of a technical nature and therefore difficult to understand in companies that do not work with technology., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 8 months after the end of the reference period. It is usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, Some of the results can be compared with results from the survey 'ICT use in enterprises', which covers companies with at least 10 employees. A large number of questions in the survey are replaced annually, so there is no coherent time series for all subjects., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/activities-in-small-enterprises

      Documentation of statistics

      Documentation of statistics: Index of Production in Construction

      Contact info, Short Term Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Index of Production in Construction 2024 , Previous versions , Index of Production in Construction 2023, Index of Production in Construction 2022, Index of Production in Construction 2021, Index of Production in Construction 2020, Index of Production in Construction 2019, Index of Production in Construction 2018, Index of Production in Construction 2017, The purpose of Index for Production in Construction (IPC) is to illustrate the business trends in the sector. These statistics have been compiled since autumn 2014, but is in its current form comparable from January 2000 and onwards., Statistical presentation, IPC is a monthly measurement of the business trends in the sector stated in index. It is compiled on a national level, Read more about statistical presentation, Statistical processing, These statistics are based on hours worked in the construction sector from the Working Time Accounts (WTA). , Read more about statistical processing, Relevance, The Index for Production in Construction illustrate the actual business conditions, which can be used to get a overview over the business trends in the sector., Read more about relevance, Accuracy and reliability, The margins of statistical uncertainty associated with the IPC are related to the statistical uncertainty of WTA., Read more about accuracy and reliability, Timeliness and punctuality, Data is transmitted to Eurostat and published i Statbank within one and a half month after the reference month., Read more about timeliness and punctuality, Comparability, Eurostat makes international comparisons. The statistics have figures that can be compared from 2000., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Index of production in construction (IPC), . For further information go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/index-of-production-in-construction

      Documentation of statistics

      Documentation of statistics: Business Demography

      Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Business Demography 2024 , Previous versions , Business Demography 2023, Business Demography 2022, Business Demography 2020, Business Demography 2018, Business Demography 2017, Business Demography 2016, Business Demography 2015, Business Demography 2014, Business Demography 2013, Business Demography 2012, The purpose of the Business Demography is to provide information about the development of enterprise births and deaths as well as the survival of new enterprises over a period of five years. The statistics is comparable from 2019 onwards., Statistical presentation, The statistics cover the annual number of enterprise births and deaths and provides information on turnover and employment. The results are broken down by industry, size class, enterprise form, and geographical location. The statistics are disseminated in Nyt from Statistics Denmark and in our statbank., Read more about statistical presentation, Statistical processing, Data is collected from the Statistical Business Register. Subsequently various processes are undertaken to determine whether or not an enterprise is new (enterprise birth), terminated (enterprise death), or surviving. The controls are done to validate if the new enterprises, which exists in the administrative reality, are in fact real new enterprises, which enters the economy, or if it is an activity that is continued after a takeover or e.g. a split of an existing enterprise., Read more about statistical processing, Relevance, The statistic is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises, The statistic is a central indicator for entrepreneurship and for sustainability in the economy, and there is a large demand for using the output in combination with other sources, and following the development of enterprises who survive., Read more about relevance, Accuracy and reliability, The statistics is based on validated register data., Uncertainty is related to relations between units and work places, which are primarily based on digital income reporting by enterprises, and lack of knowledge concerning the transfer of activities from one enterprise to another, including the separation of activities. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published annually. The publication is usually available 18 months after the end of the reference year. The statistics is also published with preliminary data 12 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The national published Business Demography is a sub-population of the Danish published General enterprise statistics., Covering private enterprises excluding agriculture, the Danish published Business demography can be compared to the Business Statistics published by Eurostat., Read more about comparability, Accessibility and clarity, Results are published in , Nyt fra Danmarks Statistik, . Results are also available in the StatBank under the topic , Business demography, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-demography

      Documentation of statistics

      Documentation of statistics: Cereal Prices used for Regulation of Land Rents

      Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Cereal Prices used for Regulation of Land Rents 2025 , Previous versions , Cereal Prices used for Regulation of Land Rents 2024, Cereal Prices used for Regulation of Land Rents 2023, Cereal Prices used for Regulation of Land Rents 2022, Cereal Prices used for Regulation of Land Rents 2021, Cereal Prices used for Regulation of Land Rents 2020, Cereal Prices used for Regulation of Land Rents 2019, Cereal Prices used for Regulation of Land Rents 2018, Cereal Prices used for Regulation of Land Rents 2016, Cereal Prices used for Regulation of Land Rents 2014, The purpose of the statistics is to show the development of the farm gate prices (basic prices) for wheat and barley. Farm gate prices are used for example for regulating rents of agricultural land in tenancy and have existed since the beginning of the 17th century. For the period 1910-1970 the prices were calculated for dioceses (church districts under the jurisdiction of a bishop). In the years 1937-1953 only prices for the diocese of Zealand were calculated. In its present form the statistics have been comparable since 1985 with figures for eight different geographic areas., Statistical presentation, The statistics are a yearly calculation of farm gate prices for barley and wheat defined as basic prices. The figures are calculated for eight regions. Due to the structural reform in 2007 the names of the regions have been revised but are otherwise unchanged. , The eight districts are described in the manual to the law on cereal prices called , kapitelstakster, . Go to http://www.retsinfo.dk and search for number 10053 of the 24th of November 2006 (24/11/2006), also termed , vejledning om opgørelse af kapitelstakster, . , Read more about statistical presentation, Statistical processing, Basic prices for wheat and barley are calculated based on yearly reports from traders of cereals on bought quantities and values of wheat and barley in connection with direct trade with farmers. Normally the same firm from last years survey are selected, men periodically, every third or fourth year, new firms might be added from within the industry. In 2024 14 firms took part. , Read more about statistical processing, Relevance, The figures are used primarily by farmers to determine the rent for agricultural land. The important users are ministries, agricultural organisations, local authorities, farmers and lawyers. There is a high level of satisfactory among users., Read more about relevance, Accuracy and reliability, There is no measure of the uncertainty of the statistics, e.g. sample error or measurement error. There is no reason to believe that statistics should be subject to bias., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about seven weeks after the end of the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, Official prices have been around since the beginning of the 17th century. From 1910-1970 the statistic covers the former Parishes "Stifter" which were the old zoning. In the period 1937-1953 statistic covers only Zealand diocese. The statistics are fully comparable back to 1985., 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 the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cereal-prices-used-for-regulation-of-land-rents

      Documentation of statistics

      Documentation of statistics: Agricultural investments

      Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Agricultural investments 2024 , Previous versions , Agricultural investments 2023, Agricultural investments 2022, Agricultural investments 2021, Agricultural investments 2020, Agricultural investments 2019, Agricultural investments 2018, Agricultural investments 2017, The statistics concern agricultural investments and depreciations in farm buildings, land improvements and machinery and equipment. The statistics show e.g. if depreciations exceed investments whereby the capital of the agricultural sector is subject to loss and tear. The statistics have been compiled since 1947 and in its presents it is comparable from 2005 onwards., Statistical presentation, The statistics are a yearly calculation of the investments and depreciations of the the agricultural sector by type of investment and both at current and constant prices., Read more about statistical presentation, Statistical processing, The statistics are based on information from Accounts Statistics for Agriculture. The Accounts Statistics for Agriculture include only farms of at least 25.000 euro in standard output. To cover also small farms below this threshold the results for investments are increased by 0,87 per cent for buildings and also 0,87 per cent for machinery and inventory. This regulation of the investments also takes into account that small farms invests less than larger farms. Calculation at constant prices is made by means of price indexes for agricultural investment goods., Read more about statistical processing, Relevance, The statistics are of interest for e.g. Danish authorities, EU and organizations. Users are satisfied. , Read more about relevance, Accuracy and reliability, The statistics are based on a sample and consequently subject to statistical uncertainty. The sample is stratified with the aim of being representative for all farms. The uncertainty differs for each individual item, and the largest degree of uncertainty is seen for items such as investments, which may vary considerably. From the population of small farms, where the variation is small, a relatively small sample is selected, while a larger sample is used for bigger farms. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience)., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published in October of the following calendar year after the reference year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, These statistics are comparable from 2005 onwards whereas there is a break in the comparability between 2004 and 2005. Apart from an increment for small farms the statistics are comparable with the accounts statistics for agriculture. , 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 , Agricultural and horticultural economy, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/oekonomi-for-landbrug-og-gartneri)., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/agricultural-investments

      Documentation of statistics

      Documentation of statistics: Implicit index of average earnings

      Contact info, Labour Market, Social Statistics , Eva Borg , +45 24 78 53 57 , EVB@dst.dk , Get documentation of statistics as pdf, Implicit index of average earnings 2025 , Previous versions , Implicit index of average earnings 2024, Implicit index of average earnings 2023, Implicit index of average earnings 2021, Implicit index of average earnings 2020, These statistics show the development in average earnings, calculated on the basis of an arithmetic average of salaries of all employees within the same sector and economic industry. In relation to the publication of the new Standardised index of average earnings, these indices were renamed to Implicit index of average earnings. In the new index changes in the workforce is taken into account when calculating the development in earnings., The Implicit index of average earnings goes back to first quarter of 2005 for the private sector and first quarter of 2007 for the public sector., Statistics Denmark has decided to discontinue the implicit index of average earnings at the beginning of 2026 with the publication of the index for the fourth quarter of 2025. Instead, users are advised to use the standardised index of average earnings, which also illustrates the development in pay level for employees in Denmark. The discontinuation of the implicit index of average earnings will not have any impact on the standardised index of average earnings, which will be the only wage index from Statistics Denmark in the future. The historical series of the implicit index of average earnings will continue to be accessible in StatBank Denmark. In order for users to handle the transition to the standardised index of average earnings, a guide (in Danish) has been prepared on how to switch from the implicit to the standardised index of average earnings in practice. It is available on Statistics Denmark's information page on , indexation, ., Statistical presentation, The Implicit index of average earnings is a quarterly statistic of the development in wages for all employees in Denmark, including students and young persons under 18. The indices are available by sector and economic industries and follow the classifications Dansk Branchekode (DB07) and sector (SBR)., Read more about statistical presentation, Statistical processing, Data is collected from a sample of companies and organisations as well as the entire public sector, covering the middle month of the quarter., Data is validated by using fixed boundaries, both at individual and company level. Manual corrections are also made if required. Only companies that are present in both quarters are included in the calculations., In the calculation of the most detailed sub-indices, data for the private sector are weighted to the target population and the individual employment types are weighted with the hours worked., Read more about statistical processing, Relevance, The Implicit index of average earnings is a so-called unit value index, where wage trends are estimated on the basis of a simple salary average of all employees in the same industry. This means that wages partly reflect changes in staff composition in a given industry., Private enterprises as well as ministries etc are the central users. The index is used especially in connection with various contract regulations, as well as the regulatory scheme in the public wageagreements., The Implicit index of average earnings is the wage index that comes closest to being comparable to the European LCI., Read more about relevance, Accuracy and reliability, For the public sector the statistics are based on data for virtually all employees. For the private sector, there are two factors that can affect accuracy, namely uncertainty in the sample statistics and that there may be problems with the completeness of the reported data from the company., This index is an where the sum of wages and hours worked is counted in each group (etc. activity sector). Thus, changes in personnel in a given industry will have an impact on the measured wage development., The figures do not undergo revision; the published figures are usually final., Read more about accuracy and reliability, Timeliness and punctuality, The implicit index of average earnings are published approx. 60 days after the end of the reference quarter, at the same time as the standardised index of average earnings is published. These statistics are published without delay., Read more about timeliness and punctuality, Comparability, The implicit index of average earnings is comparable since first quarter 2005 but for some sectors, comparable wage indices also exist further back in time. The implicit index of average earnings is based on the same data as the standardised index of average earning, but there are significant differences in methodology that allow the two wage indices to be used only partially for comparison., Internationally, the implicit index of average earnings can be compared to the labor cost index collected and published by Eurostat for all EU countries., Read more about comparability, Accessibility and clarity, The implicit index of average earnings is published in Statistics Denmark’s newsletter on [https://www.dst.dk/da/statistik/nyheder-analyser-publ/nyt?psi=1931), together with the standardized index of average earnings. In Statbank Denmark, indices and annual increases are published under the , implicit index of average earnings , . More information can be found on the subject page on , Income and earnings, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/implicit-index-of-average-earnings

      Documentation of statistics

      Documentation of statistics: Nights Spent at Marinas

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

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-marinas

      Documentation of statistics

      Documentation of statistics: Consumer Credit

      Contact info, Government Finances, Economic Statistics , Jesper Søgaard Dreesen , +45 51 64 92 61 , jsd@dst.dk , Get documentation of statistics as pdf, Consumer Credit 2023 , Previous versions , Consumer Credit 2022, Consumer Credit 2021, Consumer Credit 2020, Consumer Credit 2019, Consumer Credit 2018, Consumer Credit 2017, Consumer Credit 2016, Consumer Credit 2015, These statistics Consumer credit show the volume and development of consumer credit and credit cards services. With its short production time of 35 days after the end of the quarter, these statistics can serve as a business cycle indicator for credit intermediation in Denmark. These statistics have been compiled since 1999 and are in their current form comparable from 2008 onwards., Statistical presentation, These statistics are a quarterly estimate of consumer credit in DKK million, provided by financial and non-financial corporations inside and outside the banking sector. The consumer credit is distributed by balance on purchase cards and debit cards, including gasoline companies, as well as on short-term loans and credit against collateral., Read more about statistical presentation, Statistical processing, Data is collected directly from consumer credit companies, while data from the banking sector is gathered from Danmarks Nationalbank. The data is gathered electronically through virk.dk. Consumer credit within the banking sector is corrected for double counting. Once data is collected, a manual validation of the data is carried out before the publication of the aggregated figures., Read more about statistical processing, Relevance, The statistic contributes to the general information on the Danish lending and may, given the short time of production, serve as a business cycle indicator. Therefore it is broadly oriented towards the different sectors: private citizens, businesses, politicians, authorities or educational institutions. Data regarding user satisfaction is not gathered at this time., Read more about relevance, Accuracy and reliability, The statistic covers all providers of consumer credit and debit payments and the response rate is 100 per cent. There will be no revisions to the statistics. However, there may be some uncertainty associated with coverage error, if new companies aren't observed and gathered in time before publication., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 35 days. The statistic is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are statistics back to 1999 on consumer credit. The population is defined for relatively few units, causing some sensitivity to the constant changes in the population. This adjustment is a result of new players and where companies no longer meet the requirements to be included in the statistics., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Consumer Credit, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-credit

      Documentation of statistics

      Documentation of statistics: Social benefits for senior citizens

      Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions , Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation , Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

      Documentation of statistics

      Documentation of statistics: Port calls in Danish sea ports (experimental statistics)

      Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Port calls in Danish sea ports 2020 (experimental statistics) , Previous versions , This experimental statistics shows the activity in Danish ports measured by port calls. The statistics as an experimental statistics is not part of the official statistics program of Statistics Denmark. The statistics is experimental because it is the first time Statistics Denmark uses the large amounts of data in the AIS system (Automated Information System) and the methods for data treatment are still under development. The details in the presentation and the form of dissemination can change as Statistics Denmark receives feedback from users or during the continued development., Statistical presentation, The statistics is an index of the number of port calls to Danish ports and covers freight and container vessels. The statistics is made based on ship position data (AIS data) made available by the Danish Maritime Authority. The statistics is only published in the Statbank., Read more about statistical presentation, Statistical processing, AIS data is received in a continuous stream and registered daily. The process starts with a data reduction after which a representative arrival and departure observation is selected. Afterwards the ports are defined from the AIS-data after which ports and arrival/departure pairs representing a port call is matched., Finally tables, indices and seasonally adjustments are produces., Read more about statistical processing, Relevance, The statistics provides faster data on the activity in Danish ports and the possibility to cover more types of vessels compared to existing maritime statistics. The statistics is experimental and a part of this concept is to reveal relevance and user needs. Industry organisations have however expressed interest in the statistics., Read more about relevance, Accuracy and reliability, The precision of the statistics in terms of the development of the actual port calls in Danish ports and for freight and container vessels is relative high based on a comparison between the quarterly maritime statistics., The statistics is at the moment assessed to have a medium reliability since no revision analysis has been performed yet., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is planned for publication approximately 10 days after the reference period., Read more about timeliness and punctuality, Comparability, Only few other countries uses AIS data to make maritime statistics since the statistics still is an experimental statistics without a fixed international methodology. A comparison with similar data from the maritime statistics is possible despite a number of differences., Read more about comparability, Accessibility and clarity, The statistics is published in , Statbank, and on the subject page for , Harbours, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/port-calls-in-danish-sea-ports--experimental-statistics-

      Documentation of statistics
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