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Documentation of statistics: Maritime Transport over Danish Ports

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , HSN@dst.dk , Get documentation of statistics as pdf, Maritime Transport over Danish Ports 2025 Quarter 1 , Previous versions, Maritime Transport over Danish Ports 2024 Quarter 1, Maritime Transport over Danish Ports 2023 Quarter 1, Maritime Transport over Danish Ports 2022 Quarter 1, Maritime Transport over Danish Ports 2021 Quarter 4, Maritime Transport over Danish Ports 2021 Quarter 3, Maritime Transport over Danish Ports 2021 Quarter 2, Maritime Transport over Danish Ports 2021 Quarter 1, Maritime Transport over Danish Ports 2020 Quarter 4, Maritime Transport over Danish Ports 2020 Quarter 3, Maritime Transport over Danish Ports 2020 Quarter 2, Maritime Transport over Danish Ports 2020 Quarter 1, Maritime Transport over Danish Ports 2019 Quarter 4, Maritime Transport over Danish Ports 2019 Quarter 3, Maritime Transport over Danish Ports (Quaterly) 2019 Quarter 2, Maritime Transport over Danish Ports 2019 Quarter 1, Maritime Transport over Danish Ports 2018 Quarter 4, Maritime Transport over Danish Ports 2018 Quarter 3, Maritime Transport over Danish Ports 2018 Quarter 2, Maritime Transport over Danish Ports 2018 Quarter 1, Maritime Transport over Danish Ports 2017 Quarter 4, Maritime Transport over Danish Ports 2017 Quarter 3, Maritime Transport over Danish Ports 2017 Quarter 2, Maritime Transport over Danish Ports 2017 Quarter 1, Maritime Transport over Danish Ports 2016 Quarter 4, Maritime Transport over Danish Ports 2016 Quarter 3, Maritime Transport over Danish Ports 2016 Quarter 2, Maritime Transport over Danish Ports 2015 Quarter 4, Maritime Transport over Danish Ports 2015 Quarter 3, Maritime Transport over Danish Ports 2014 Quarter 3, The purpose of statistics on maritime transport over Danish ports is to describe the volume of and the development in ship traffic to and from Danish ports as well as data on port infrastructure. Also data on accidents on sea on board Danish vessels and in Danish sea territory are published., The statistics have been compiled in the present form since 1997. Maritime statistics have been produced since 1834 and published annually from about 1900. In the period from 1991 to 1996, Statistics Denmark compiled only summary statistics on the throughput of ports., Statistical presentation, The main variables in the statistics are: Calls at port, type of ship, size of ship, flag state, port of loading/unloading, weight of goods and type of goods and passengers., The statistics are based on two separate data collections: Maritime traffic on larger Danish ports (quarterly) and Maritime traffic on minor Danish ports (annually). It is supplemented with data from Ferries and Passenger ships (quarterly)., Annual data on accidents at sea are collected from the Danish Maritime Authority., Data on investments in ports are received from the National Accounts in Statistics Denmark., Read more about statistical presentation, Statistical processing, Annual statistics cover all Danish ports handling goods or passengers. Quarterly statistics cover only major ports., The statistics are collected through a spreadsheet solution via the data collection portal, http://www.Virk.dk. Response rate is 100 percent., Data are validated for the correct use of codes and classifications and for internal consistency within each report. Furthermore the development over time is validated at both micro and macro level., Read more about statistical processing, Relevance, The statistics are used by the ports themselves, Eurostat and other parts of the EU-commission, ministries, organisations, researchers and in general to monitor the goods transport activity in Danish ports and to develop transport statistics., Read more about relevance, Accuracy and reliability, Maritime statistics are based on censuses among all goods handling ports. The majority of data stems from the quarterly reports from all major ports. The data from the remaining minor ports are summarised annual data. On the main variables there is full coverage and accurate within 3 percent. Minor revision occur without systematic bias., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are usually published around 70 days after the end of a quarter. Annual statistics are published around 130 days after the end of reference year. It is always published at the preannounced time., Read more about timeliness and punctuality, Comparability, The statistics are consistent from 2000 and onwards and directly comparable to similar statistics from other EU and EFTA member states., Read more about comparability, Accessibility and clarity, Maritime statistics are published annually in Nyt fra Danmarks Statistik (Statistical News)., Quarterly and annually data can be found in , http://www.Statbank.dk, ., Annual tables are published in Statistical Yearbook until 2017 and Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/maritime-transport-over-danish-ports

Documentation of statistics

Documentation of statistics: Nights spent on camp sites

Contact info, Short Term Statistics, Business Statistics , Nanna Nikander Nonboe-Nygaard , +45 20 56 39 57 , nio@dst.dk , Get documentation of statistics as pdf, Nights spent on camp sites 2025 , Previous versions, Nights spent on camp sites 2024, Nights spent on camp sites 2023, Nights spent on camp sites 2022, Nights spent on camp sites 2021, Nights spent on camp sites 2020, Nights spent on camp sites 2019, Nights spent on camp sites 2018, Nights spent on camp sites 2017, These statistics describe the capacity and occupancy at Danish campsites. The statistics are used by i.e. EU, tourism organizations and municipalities in order to analyze the development in camping tourism. The survey has been compiled since 1971, but in its current form comparable from 1992 and onwards. , Statistical presentation, These statistics are a monthly summary of occupancy and capacity in Danish campsites with a minimum of 75 camping units. The statistics are broken down by nationality of the guests, permanent leased pitches and geography by NUTS 2 level. Furthermore there is a annual summary of occupancy and capacity in Danish campsites with 10-74 camping units. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish campsites with a minimum of 75 camping units and yearly from Danish campsites with 10-74 camping units using an online questionnaire on Virk.dk, or by using a system-to-system solution where the campsites booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The statistics are for example relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. , Read more about relevance, Accuracy and reliability, The monthly statistic only covers campsites with at least 75 camping units. The annual statistics also cover campsites with 10-74 camping units. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Another possible source of error may be the fact that the reported data is in many cases based on estimations by the respondents. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for campsites with a minimum of 75 camping units are published approx. 40 days after the end of the reference period. Publications are released on time, as stated in the release calendar. The annual statistics for the final data and for campsites with 10-74 camping units are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, Statistics Denmark includes nights from permanent leased pitches, which can cause an overestimation compared to other European camping statistics which do not include data from nights spent on permanent leased pitches. The statistical organisation of EU "Eurostat" does not include nights spent on permanent leased pitches when they publish data from countries in EU. From 2013, the number of nights on permanent leased pitches is based on factors of average lead times on camp sites. This change may result in a lack of comparability, but it is not expected to be significant. The number of nationalities has expanded from 13 to 51 nationality groups. This can lead to a lack of consistency when comparing data over time. , Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Data are published in statbank at , Camping sites, and , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at subject page. (https://www.dst.dk/da/Statistik/emner/erhvervslivets-sektorer/turisme/campingpladser)., Statistics on a municipality level or for a province can be found at , VisitDenmark, . If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact , DST Consulting, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-on-camp-sites

Documentation of statistics

Documentation of statistics: Standardised 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, Standardised index of average earnings 2025 , Previous versions, Standardised index of average earnings 2024, Standardised index of average earnings 2023, Standardized Index of Average Earnings 2021, Standardized Index of Average Earnings 2020, Standardized Index of Average Earnings 2019, Standardized Index of Average Earnings 2018, The purpose of the standardised index of average earnings is to estimate the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the labour market’s occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics are used for e.g. monitoring of business cycles, regulation of contracts, analyses of developments in pay levels as well as input in the calculation of the National Accounts., The statistics have been prepared since 2018 with data back to the first quarter of 2016. A revised index and time series are published in May 2023 with data back from 2016., In parallel, Statistics Denmark is calculating the implicit index of average earnings. Unlike the standardised index, the implicit index of average earnings does not take changes in the occupational composition into account., Statistical presentation, The standardised index of average earnings is a quarterly estimate of the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics show the development in the average hourly earnings for employees by sector, industry (DB07) and main occupation (DISCO-08). Each quarter, an index value and an annual increase are published., Read more about statistical presentation, Statistical processing, Data for these statistics are collected quarterly. For the public sector all payroll information are collected while data are collected via a sample from the private sector. The collected data is validated at an aggregate level for key enterprises (only in the private sector) and at an individual level through a combination of validation rules for the hourly earnings for the individual employment relationship. The hourly earnings are assessed based on sector, industry, main occupation and type of employment. Once data has been validated, base index is calculated for each homogeneous group, which afterwards is aggregated to sub- and total indices at sector, industry or main occupation level., Read more about statistical processing, Relevance, These statistics are relevant for private enterprises and organisations, as well as ministries and other public institutions for analysis, contractual regulation etc. The statistical data are also used in other areas within Statistics Denmark, e.g the calculation of the Danish National Accounts., Read more about relevance, Accuracy and reliability, The accuracy of these statistics are higher for employees in the public sector than in the private sector. The reason for this is that the statistics for employees in the public sector (more or less) consists of all payroll information, while the statistics for employees in the public sector is based on a sample of enterprises. The accuracy of the statistics for the private sector is therefore affected by sampling uncertainty, completeness of the reported information and non-response. The impact on the indices are unknown., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published two months after the end of the reference period. The statistics are released typically without delay according to scheduled dates of publication. , In February 2022, the statistics were paused and a comprehensive service review was initiated. As a result, the method for calculating standardized index of average earnings was revised. This publication therefore contains revised index values and annual increases for the entire period from the first quarter of 2016 until the first quarter of 2023. This means that the series contains revised values from the first quarter of 2016 until the third quarter of 2021 as well as previously unpublished values from the fourth quarter of 2021 until the first quarter of 2023., Read more about timeliness and punctuality, Comparability, The standardised index of average earnings was first published in December 2018 with a time series starting in the first quarter of 2016. The standardised index of average earnings utilize the same data as the implicit index of average earnings, which however has a different purpose and is therefore calculated using a different method. There exist a few sets of statistics abroad that are partly comparable with the standardised index of average earnings. , Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Indices of average earnings, . For further information, visit the subject page for , Income and earnings, . , Read more about accessibility and clarity

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

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: Manufacturers’ Sales of Goods (quarterly)

Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Sales of Goods (quarterly) 2024 Quarter 4 , Previous versions, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 3, Manufacturers’ Sales of Goods 2019 Quarter 2, Manufacturers’ Sales of Goods 2019 Quarter 1, Manufacturers’ Sales of Goods 2018 Quarter 4, Manufacturers’ Sales of Goods 2018 Quarter 3, Manufacturers’ Sales of Goods 2018 Quarter 2, Manufacturers’ Sales of Goods 2018 Quarter 1, Manufacturers’ Sales of Goods 2017 Quarter 4, Manufacturers’ Sales of Goods 2017 Quarter 3, Manufacturers’ Sales of Goods 2017 Quarter 2, Manufacturers’ Sales of Goods 2017 Quarter 1, Manufacturers’ Sales of Goods 2016 Quarter 4, Manufacturers’ Sales of Goods 2016 Quarter 3, Manufacturers’ Sales of Goods 2016 Quarter 2, Manufacturers’ Sales of Goods 2016 Quarter 1, Manufacturers’ Sales of Goods 2015 Quarter 4, Manufacturers’ Sales of Goods 2015 Quarter 3, Manufacturers’ Sales of Goods 2015 Quarter 2, Manufacturers’ Sales of Goods 2015 Quarter 1, Manufacturers’ Sales of Goods 2014 Quarter 4, Manufacturers’ Sales of Goods 2014 Quarter 1, The purpose of the statistics is to describe the Danish industrial production by detailed type of goods. Manufacturers' sales of goods is the source for Danish Prodcom statistics, regulated by and submitted to Eurostat., Statistical presentation, The statistics describe manufacturers' sales of goods measured in terms of volume and value by detailed types of goods according to the international classifications CN and SITC. In addition to this, total sales (turnover) are distributed by industries (NACE groups)., The data collecting for the statistics for 2020 has partly been affected by the COVID-19 situation. However, it is assessed that the overall statistics has not been affected in any great extent., Since 2020, Statistics Denmark has carried out extensive work to ensure the quality of the reports from the largest companies. This has led to some audits for the years 2018 to 2022., Read more about statistical presentation, Statistical processing, Data are collected through a quarterly survey of all enterprises in manufacturing (including mining and quarrying) with at least 10 employees or a yearly turnover over 100 mio. dkk, approx. 3,000 units. Reported data are validated, by checking against previous reports as well as against other sources. Data are then aggregated by industrial groupings as well as commodity groups. Series with seasonality are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are in high demand from many different users, including the National Accounts, ministries, trade associations, market analysts, researchers, consultants and businesses., Read more about relevance, Accuracy and reliability, The main non-sampling error is the measurement error concerning classification at the most detailed CN level, as respondents do not always report sales according to the correct codes. Furthermore, data on quantities are generally less reliable than those on values, as some respondents estimate quantities and others do not answer, implying that estimations must be made in the statistical production process., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference quarter. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, In its present form and as available in StatBank Denmark, the statistics are comparable since 1995, but the statistics have been produced in some form since 1905. The Prodcom-version of the statistics can be compared to Prodcom statistics of other EU countries. The statistics can be compared to Foreign Trade in Goods to create statistics on apparent consumption - for this, it is important to note the difference in coverage and the potential quality issues at the most detailed CN code level. The tables with sales by industry are consistent from 2000 following the DB07 classification. , Read more about comparability, Accessibility and clarity, These statistics are published annually at the beginning of March in a Danish press release. Quarterly figures are published in the StatBank under , Purchases and sales by manufacturing industries, . Internationally, these statistics are available through Eurostat's , database, and at the UN, where the statistics are disseminated under , Industrial Commodity Statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--sales-of-goods--quarterly-

Documentation of statistics

Documentation of statistics: Retail Trade Index

Contact info, Short Term Statistics , Kari Anne Janisse Arildsen , +45 40 43 38 12 , KJS@dst.dk , Get documentation of statistics as pdf, Retail Trade Index 2024 , Previous versions, Retail Trade Index 2021, Retail Trade Index 2020, Retail Trade Index 2019, Retail Trade Index 2018, Retail Trade Index 2017, Retail Trade Index 2016, Retail Trade Index 2015, Retail Trade Index 2014, The Retail Trade Index shows the development in turnover within the retail trade sector. The statistics is published monthly and is primarily used as short term indicator for private consumption as well as the general business cycle movement., Statistical presentation, Retail trade indices are published for 42 industries and for three commodity groups: food and other everyday commodities, clothing etc., and other commodities. Value and volume indices are produced. The volume index is made for the commodity groups and special industry aggregates for Eurostat. The statistics are based on survey data from all large retail trade enterprises and a sample of the remaining retail trade enterprises, which are requested to submit information about their turnover each month. Seasonal adjustment is performed of the three main commodity groups and the total., Read more about statistical presentation, Statistical processing, The survey is based on a sample of Danish retail trade enterprises. The sample includes approximately 2,200 enterprises, and at the time of the first publication, the figures for a month are based on responses from approximately 1.800 of these enterprises for the initial publication. , The sample consist of 42 subgroups and enterprises are sampled based on their share of the yearly turnover for the given subgroup. The companies are ranked from largest to smallest and the companies, whose rank constitutes the bottom 10 pct. of turnover for their subgroup when summed, are never selected to participate. The companies whose rank lies between 11 and 49 pct. of the subgroup’s yearly summed turnover, are randomly selected. Lastly, the larger firms whose turnover altogether lies in the top 50 pct. of the yearly turnover for their subgroup are always included in the sample. The companies are selected based on VAT-declarations to the Danish tax administration. , Read more about statistical processing, Relevance, Many users who monitor the current business trends take an interest in the published statistics of retail trade. The demand for the statistics is broadly based in trade associations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to the quarterly national accounts statistics and to Eurostat's pan-European statistics. The users view the retail trade index as an important short term indicator, and it often gets a lot of attention in the media and amongst other professional users. , Read more about relevance, Accuracy and reliability, The overall uncertainty of the total retail trade index is estimated to be less than 1 per cent. On commodity group level, the uncertainty of the group Food and other convenience goods is about the same, whereas for Clothing etc. it can be up to 3 per cent and for other consumer goods up to 2 per cent., The accuracy of the monthly growth rate is generally very high. For the total index, the uncertainty is estimated to be maximum 0.2 percentage points, while it can be a little higher on commodity group level., Read more about accuracy and reliability, Timeliness and punctuality, Indices on the main commodity groups are published already 22-28 days after the end of the month. This is rather quick for statistics based on a survey such as this. One month later the indices on the most detailed industry level are published. The punctuality is very high with delays happening very rarely. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1939, but they are not suited for long term time series analysis because of structural changes in the retail trade sector. The sample design and the calculation methods have been adjusted several times, last time in May 2012, where the time series back to 2000 where recalculated using new methods. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Retail Trade Index, . The Retail Trade Index also has a , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-index

Documentation of statistics

Documentation of statistics: Nights spent at hotels, holiday resorts and youth hostels

Contact info, Short Term Statistics, Business Statistics , Nanna Nikander Nonboe-Nygaard , +45 20 56 39 57 , nio@dst.dk , Get documentation of statistics as pdf, Nights spent at hotels, holiday resorts and youth hostels 2025 , Previous versions, Nights spent at hotels, holiday resorts and youth hostels 2024, Nights spent at hotels, holiday resorts and youth hostels 2023, Nights spent at hotels, holiday resorts and youth hostels 2022, Nights spent at hotels, holiday resorts and youth hostels 2021, Nights spent at hotels, holiday resorts and youth hostels 2020, Nights spent at hotels, holiday resorts and youth hostels 2019, Nights spent at hotels, holiday resorts and youth hostels 2018, Nights spent at hotels, holiday resorts and youth hostels 2017, The purpose of the statistics "Nights spent at hotels, holiday centers and hostels" is to describe the occupancy and capacity of Danish hotels, holiday centers and hostels. The survey is used by i.e. EU, business and tourism organizations and municipalities in order to analyze the development in tourism. The survey has been compiled since 1969, but is only comparable from 1992 and onwards. , Statistical presentation, The accommodation survey "Nights spent at hotels, holiday centers and hostels" is a monthly summary on occupancy and capacity in Danish hotels, holiday centers and hostels with a minimum capacity of 40 bed places. The accommodation survey is broken down by capacity and geography of the establishment as well as the purpose and country of residence of the guest. Furthermore there is an annual census on occupancy and capacity for hotels, holiday centers and hostels with 10-39 bed places., Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish hotels, holiday resorts, hostels etc. with a minimum of 40 bed places and yearly from Danish hotels, holiday resorts, hostels etc. with 10-39 bed places using an online questionnaire or by using a system-to-system solution where the accommodations booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The accommodation statistics are relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. The accommodation statistics are under constant review and the user needs are rapidly changing with the emergence of peer-to-peer platforms such as AirBnB. , Read more about relevance, Accuracy and reliability, The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for hotels, holiday centers and hostels etc. with a minimum of 40 bed places are published monthly approx. 40 days after the end of the reference month. The statistics is published without delay according to the planned publication tables. The final statistics are published annually together with the statistics for Hotels, holiday centers and hostels etc. with 10-39 bed places. The Annual statistics are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, The accommodation statistics is comparable with the other EU-statistics on tourism. The breakdown into nationalities has expanded from 13 to 51 since 1996 and this can weaken the comparability when using time series. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data are published in statbank at , Hotels, holiday centres and hostels, og , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at the , subject page, ., Statistics on a municipality level or for a province can be found at VisitDenmark. If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact DST Consulting., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-hotels--holiday-resorts-and-youth-hostels

Documentation of statistics

Documentation of statistics: Computer Services

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Computer Services 2023 , Previous versions, Computer Services 2021, Computer Services 2020, Computer Services 2019, Computer Services 2018, Computer Services 2017, Computer Services 2016, Computer Services 2015, Computer Services 2014, Computer Services 2013, The purpose of the statistics Computer Services is to provide information on turnover and types of services in enterprises with Computer services and 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 1995. Prior to 2012 it was called Product Statistics for Computer Services. From 2023 the statistics has been changed to only cover enterprises with at least 20 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 Computer services. 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. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding 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, The statistics provides a reliable estimate of the turnover and its distributions on the the different services provided within the covered industry. This is due to the fact submission is mandatory for all enterprises within the population, and because the submitted turnover is adjusted with the turnover from the Accounts Statistics for Non-Agricultural Private Sector, which is based on a large sample, administrative sourced and digital annual reports (XBRL) from the Danish Business Authority. It is assumed that the distribution of the respective services in the enterprises that did not submit, ceased to exist or by fault was not included in the initial sample compilation, are equal to the average distribution within the industry. , 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 reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 1995. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a collective Danish press release for services. The figures can be found in the StatBank under , Computer services, . 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/computer-services

Documentation of statistics

Documentation of statistics: Purchases and sales by enterprises

Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions, Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

Documentation of statistics

Documentation of statistics: Folk high school courses

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, Folk high school courses 2024 , Previous versions, Folk high school courses 2023, Folk high school courses 2021, Courses and Adult Education - Folk High Schools 2020, Courses and Adult Education - Folk High Schools 2019, Courses and Adult Education - Folk High Schools 2018, Courses and Adult Education - Folk High Schools 2017, Courses and Adult Education - Folk High Schools 2016, Courses and Adult Education - Folk High Schools 2015, Courses and Adult Education - Folk High Schools 2014, The purpose is to describe the participation of the population in adult education in the sense of folk high schools and independent prevocational schools. Courses fulfilling the requirements outlined in the Danish Folk high school law are included, but also non-financed courses of a general folk high school nature. The data is a part of Statistic Denmark's register of adult education and continuing training., Statistical presentation, The Statistics gives a complete picture of the populations participation in folk high school courses as well as courses from the independent prevocational schools. Data are collected on number of participants as well as full-time equivalents. In addition data is also collected on the length of the courses. For the latest year, data based on calendar year only contains data for half a year. This is because data is published on school years so that the second half will become available once the next school year is published , Read more about statistical presentation, Statistical processing, Data are collected annually from the schools administrative systems and by manual reporting. Collected data are validated for institution, type of education, course length and personal ID number. In addition it is determined if pupils has been reported several times. After data has been validated it is divided into: type of folk high school, education area and courses length. annual equivalents are calculated based on the course length and number of participants., Read more about statistical processing, Relevance, The statistics are widely used by municipalities, counties, government departments, non-government organizations, the news media and private enterprises. No user satisfaction data has been collected., Read more about relevance, Accuracy and reliability, The most important source of inaccuracy is insufficient registrations by the administrations of the folk high schools. Various control procedures catches up with this as far as possible. In addition there are small differences in the material delivered by the folk high schools. We are currently working on solving this issue. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is issued once a year, usually in the first quarter of the year including data from approx. 6 months after the end of the collection period., In general the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, There are statistics on folk high schools in Denmark dating back to 1901, but the statistics are in their present form comparable from 2005 to the present. However, the short courses, under 12 weeks, are only included from 2012. There is no common international standard for statistics on folk high schools, but similar statistics can be found for Norway and Sweden. There are other statistics on folk high schools in Denmark, but there may be differences between definitions (e.g. the school year) and calculation methods (e.g. calculation on the basis of grants or actual activity) which may mean that there is no direct comparability., Read more about comparability, Accessibility and clarity, The results are put into the Stat Bank: See under , Education and knowledge, Researchers can get access to the detailed data of the register of adult education and continuing training by agreement with Statistics Denmark. Special analyses can be conducted by the Service Department of Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/folk-high-school-courses

Documentation of statistics