Skip to content

Search result

    Showing results 1381 - 1390 of 2213

    Documentation of statistics: Public Sector Innovation

    Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Public Sector Innovation 2023 , Previous versions , Public Sector Innovation 2019, Public Sector Innovation 2016, Innovation in the public sector 2014, The purpose of these statistics is to uncover the extent and types of public sector innovation. The survey is conducted according to EU and OECD guidelines concerning innovation statistics. , Statistical presentation, These statistics are an annual measurement of the share of innovative workplaces in the public sector. The statistics are grouped by industry, in groups of business sizes and by type of innovation at the individual workplace, degree of novelty, initiator and obtained values., Read more about statistical presentation, Statistical processing, The statistical treatment of data primarily concerns the creation of derived variables and formatting of the data., Read more about statistical processing, Relevance, Ministries, departments. municipalities, regions, decision makers, workplaces and employees in the public sector, who have the possibility to compare the innovation activities of their workplace in comparison to others, and to get inspired for new solutions. Researchers and consultants working with innovation in the public sector will be able to use the material for analyses., Read more about relevance, Accuracy and reliability, The survey was voluntary with a response rate of 36 per cent, and therefore the uncertainty will be higher than in a survey with a much higher response rate. Measurement errors are believed to be very small, as nearly all questions in the survey are qualitative., Read more about accuracy and reliability, Timeliness and punctuality, From the end of the reference period (June 2023) to the day of publication, 6 months have passed., Read more about timeliness and punctuality, Comparability, All the Nordic countries have collected and disseminated comparable statistics, Norway, Sweden, Iceland and Finland., Read more about comparability, Accessibility and clarity, The statistics is published in a Danish press release. In the StatBank, these statistics can be found under the subject , Innovation, . For more information, go to the , subject page, for these statistics, or visit the webpage of , Center for Offentlig-Privat Innovation, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-sector-innovation

    Documentation of statistics

    Documentation of statistics: Construction cost index for residential buildings

    Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Construction cost index for residential buildings 2026 , Previous versions , Construction cost index for residential buildings 2025, Construction cost index for residential buildings 2024, Construction cost index for residential buildings 2023, Construction cost index for residential buildings 2022, Construction cost index for residential buildings 2021, Construction cost index for residential buildings 2020, Construction cost index for residential buildings 2019, Construction cost index for residential buildings 2018, Construction cost index for residential buildings 2017, Construction cost index for residential buildings 2016, Construction cost index for residential buildings 2015, Construction cost index for residential buildings 2014, Documents associated with the documentation , Weight basis 2024- , Construction cost index for residential buildings (pdf), Weight bases 2015-2023, Construction cost index for residential buildings (pdf), Omregning mellem BYG42 og BYG43 (pdf) (in Danish only), The construction cost index for residential buildings reflects the evolution of housing construction costs in Denmark. The index is used, among other things, to regulate building contracts. The primary users of this index are construction organizations, entrepreneurs, housing developer, professional craftsmen, solicitors, public institutions and the EU. The construction cost index has been published since the first quarter of 2003 and replaces the former construction cost index., Statistical presentation, The construction cost index for residential buildings is produced each quarter to follow the change in construction costs for residential buildings in Denmark. The index is published for a one-family house and a multi-family house, in addition to all residential buildings which is based on a weighting of the two indices. All indices are further more broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total indices and the sub-indices are divided into material costs and labor costs., Read more about statistical presentation, Statistical processing, The Construction cost index for residential buildings is based on accounts of nine actual housing constructions. The index for one-family houses is based on three one-family houses and three terraced houses, while the index for multi-family houses is based on three multi-family buildings. The constructions are typical for the construction of residential building in Denmark and are selected on the basis of an analysis of the current construction. The costs of the three constructions forms the weights of the indices. These weights are used to weigh together the prices of the cost components., Read more about statistical processing, Relevance, Construction cost index for residential buildings is used for contract regulations and to follow the economic development of construction costs. The primary users of the index are construction organizations, entrepreneurs, housing developers, professional craftsmen, solicitors, public institutions and the EU., Read more about relevance, Accuracy and reliability, The construction cost index for residential buildings covers the development of typical residential house construction in Denmark. It is assumed that the nine buildings that form the weight basis of the index are actually representative of typical house constructions in Denmark. Measures on accuracy are not available, but continuous monitoring and improvement of the quality of pricing data and weights means that the index is evaluated as being of high quality and representative of the general development of house building costs in Denmark. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 65 days after the end of the quarter: primo March (Q4), primo June (Q1), primo September (Q2) and primo December (Q3). Yearly statistics are published once per year in connection with publication of the 4th quarter. The statistics are normally published without delay in relation to the announced time of publication., Read more about timeliness and punctuality, Comparability, The Construction cost index for residential buildings follows European regulations and is therefore comparable to construction cost indices produced by countries that report to Eurostat. The index can also be linked to former construction cost indices for residential buildings (2003 = 100 and 1987 = 100). Historically, construction cost statistics have been calculated since the 1920's, but those are not comparable to the contemporary statistics., 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 , Construction cost index for residential buildings, . , The subject page, provides an overview of statistics and publications within the area., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-cost-index-for-residential-buildings

    Documentation of statistics

    Documentation of statistics: International Trade in Goods

    Contact info, External Economy, Economic Statistics , Stefan Gottschalck Anbro , +45 51 60 58 46 , SFB@dst.dk , Get documentation of statistics as pdf, International Trade in Goods 2025 , Previous versions , International Trade in Goods 2024, International Trade in Goods 2023, International Trade in Goods 2022, International Trade in Goods 2021, International Trade in Goods 2020, International Trade in Goods 2019, International Trade in Goods 2018, International Trade in Goods 2017, International Trade in Goods 2016, International Trade in Goods 2015, International Trade in Goods 2014, Documents associated with the documentation , Omlægning af tabeller om betalingsbalance og udenrigshandel i statistikbanken den 10. juni 2024 (pdf) (in Danish only), The statistics shows the development in Denmark's external trade in goods at a detailed level (imports and exports) by country and type of commodity. The statistics have been compiled regularly since 1838 covering 1836 and onwards., Statistical presentation, The statistics show Denmark's imports and exports of goods from/to all countries in the world distributed by about 9,300 different commodity codes. The statistics do not cover the External trade of the Faroe Islands and Greenland., Read more about statistical presentation, Statistical processing, Trade data is collected on monthly basis using various data sources. The collected data are validated for logical errors and completeness and a credibility check of the reported data is carried out., The collected data are used to compile the trade figures and full coverage of trade is ensured by estimation for missing data. There is thus full coverage of International Trade in Goods in the disseminated statistics. , In connection with the release of trade figures some time series are seasonal adjusted and furthermore indices are calculated. , Read more about statistical processing, Relevance, There is great interest in the disseminated statistics of External Trade in Goods among users who monitor the Danish economy. The statistics are demanded widely by trade and industry organisations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media, embassies and international organisations. , The statistics is also used for compilation of National Accounts and Balance of Payments Statistics. Furthermore, Eurostat use the statistics to make joint EU trade statistics., The users view the External Trade in Goods Statistics as an important short term indicator, and it often gets a lot of attention in the media and amongst professional users., Read more about relevance, Accuracy and reliability, The reliability of the final statistics at aggregated level is relatively high. In Extrastat, the reliability at detailed commodity/country levels is also high, while the reliability is comparatively lower in Intrastat due to the margins of uncertainty involved in estimating trade by enterprises exempted from reporting data., However, the first publications of the external figures are subject to some uncertainty, as a relatively high number of errounous data reports cannot be included at the time of publication. Compensation for this is made by estimation and a later correction. The reliability of figures for a given month is greatly increased by later publications of statistics. Similarly, the highest reliability is achieved at aggregated level., Read more about accuracy and reliability, Timeliness and punctuality, Aggregated statistics for selected countries and country groups and for aggregated commodity groups are published monthly 40 days after the end of the reference period. Detailed statistics are published 70 days after the end of the reference period., The statistics are usually published without delay in relation to the scheduled date, which is announced at least 3 months in advance on Statistics Denmark's website, Read more about timeliness and punctuality, Comparability, At overall level, the statistics are comparable across time and with statistics from other countries., Read more about comparability, Accessibility and clarity, These statistics are published monthly 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 , Imports and exports in detail, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods

    Documentation of statistics

    Documentation of statistics: Registered unemployment

    Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Registered unemployment 2025 , Previous versions , Registered unemployment 2024, Registered unemployment 2023, Registered unemployment 2022, Registered unemployment 2021, Registered unemployment 2020, Registered unemployment 2019, Registered unemployment 2018, Registered unemployment 2017, Registered unemployment 2016, Registered unemployment 2015, Registered unemployment 2014, The purpose is to produce statistics monitoring the structure and trends in the unemployed population and the causes of unemployment. The statistics are compiled on the basis of registers. The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. As from the publication of unemployment statistics for January 2010, attention is now focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. , Statistical presentation, The register based unemployment statistics (gross- and net-unemployed) provide monthly data on the unemployed population registered with the unemployment insurance funds and with the public job centres. The statistics comprise all unemployed persons insured against unemployment and non-insured persons who are available for work and at the same time claiming cash benefits under the Danish Social Assistance Act. The statistics are shown by municipality, sex, age group, type of benefit, unemployment insurance funds, country of origin and level of education. , Read more about statistical presentation, Statistical processing, All the data is collected from administrative registers. After receiving the data we make a data validation and a harmonization before entering the data into our oracle-database for further data processing, including an elimination of illegal 'overlapping' data. , Read more about statistical processing, Relevance, Users: Municipalities, regions, ministries, job centers, organizations, international organizations, the media, private business enterprises, and private individuals., Fields of application: Public and private structural analyses and trade cycle surveys, educational purposes and public debate., There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, for instance by the media, has always been considerable., Read more about relevance, Accuracy and reliability, The statistics comprise all unemployed persons above 16 and until they reach their official retirement age. Only persons registered as recipients of unemployment benefits or social assistance/initial assistance are covered by the statistics. Persons who do not receive social assistance or unemployment benefits are thus excluded from the statistics on unemployment, although they are registered with the public job centres. It is impossible to give a single figure on the statistical accuracy, but apart from the circumstance that a person must receive unemployment benefits or social assistance in order to be registered as unemployed, the accuracy of the statistics is relatively high., Read more about accuracy and reliability, Timeliness and punctuality, The monthly unemployment statistics is published roughly 28 days after the end of the reference month, the quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact official release dates are always published a year ahead., Read more about timeliness and punctuality, Comparability, The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. To avoid a great number of discontinuities of the data series, the statistics have roughly speaking remained unchanged since 1979. However, the unemployment statistics have been adjusted as from the publication of unemployment figures for January 2008. The underlying primary data have been edited and changes have been made to the concept of unemployment, which imply that the Danish concept of net unemployment is now closer to the definition of unemployment applied by the International Labour Office, ILO, see item 3.1. All changes have been made back to April 2000. As from the publication of unemployment statistics for January 2010, attention is now also focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. When the register based unemployment statistics depends on a number of national administrative registers it is not a good statistics for international comparisons. For international comparisons of unemployment you ought to use the unemployment figures from the labour force surveys in the different countries instead., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release, at the same time as the tables are updated in the StatBank. The statistics are published quarterly and yearly only in the , StatBank, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/registered-unemployment

    Documentation of statistics

    Documentation of statistics: Long Term Unemployed Persons

    Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Long Term Unemployed Persons 2024 , Previous versions , Long Term Unemployed Persons 2020, Long Term Unemployed Persons 2019, Long Term Unemployed Persons 2018, Long Term Unemployed Persons 2017, Long Term Unemployed Persons 2016, Long Term Unemployed Persons 2015, Long Term Unemployed Persons 2014, This statistics show the structure and development of long-term unemployment, defined as gross unemployment spells of minimum 52 weeks. The statistics cover all months in the period from January 2009 onwards. The statistics also covers shorter and longer unemployment spells, these different spells was published for the first time in October 2018., Statistical presentation, The statistics cover the persons who are long-term unemployed due to administrative data. A long-term unemployed person has been gross unemployed for at least 52 consecutive weeks (1 year). Persons who leave the gross unemployment for a period of 4 weeks, within the 12 months, and who is not in ordinary employment during the period of 4 weeks are also included in the statistics. The statistics also covers unemployment spells by duration from 26 weeks (0,5 year) up to 156 weeks (3 years)., Read more about statistical presentation, Statistical processing, The statistics of long-term unemployment is made out of the register of public benefits that covers all persons receiving public benefits in the age below their official pension age. The Register of Employees is also used in the statistics. The employment records cover employed persons in firms registered in Denmark from January 2008 onwards., Both data regarding public benefits and employment is collected quarterly. , Read more about statistical processing, Relevance, Users: Ministries (primary the Ministry of Employment), municipalities, organizations, educational institutions, research institutions, the news media and private persons., The statistics is quite new and there has not been collected any knowledge about the user experience., Read more about relevance, Accuracy and reliability, The statistics measure the number of long-term unemployed persons according to administrative registers and is based on a full sample. The statistics is precise according to the written description of long-term unemployment., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and is published 4 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic is comparable from one month to another from January 2009 onwards. For international comparison the long unemployment term/figures from the Labour Force Survey is recommended., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Unemployed persons, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese). , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/long-term-unemployed-persons

    Documentation of statistics

    Documentation of statistics: Mining and Quarrying

    Contact info, Food Industries, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Mining and Quarrying 2024 , Previous versions , Mining and Quarrying 2023, Mining and Quarrying 2022, Mining and Quarrying 2020, Mining and Quarrying 2019, Mining and Quarrying 2018, Mining and Quarrying 2017, Mining and Quarrying 2016, Mining and Quarrying 2014, Mining and Quarrying 2013, The mining and quarrying statistics show the amount and type of mining and quarrying in Denmark. The statistics have been made since 1973 but is only comparable since 2006., Statistical presentation, The mining and quarrying statistics are a yearly measurement of extracted raw material types from land and from the sea floor stated in Cubic meters. The statistics are grouped by raw material types, by administrative regions and municipalities., Read more about statistical presentation, Statistical processing, Data are annually collected from all extractors on land. The reported data are controlled for errors by comparing changes over time in the municipalities and for the totals for each resource category. Figures for raw materials extracted from the sea are controlled for errors in the same way., Read more about statistical processing, Relevance, There is great interest for the published figures on raw materials among the Regions, which use the statistics to make extraction plans. The statistics are also requested by municipalities, industry organizations, other public and private institutions, researchers, companies and the news media. The statistics are used in the compilation of the environmental-economic accounts in the national accounts., Read more about relevance, Accuracy and reliability, These statistics are based on a full census with complete coverage, as all extractors of raw materials are required to report. The data form the basis for taxation and are verified by the authorities, who already have a good overview of the quantities extracted., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about 6 months after the end of the reference period. Publications are generally released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics are comparable at municipal level back to 1980. The data collected and the level of detail have remained unchanged throughout the period. Data quality and reliability are expected to be higher after 1 January 1990, when a raw material tax was introduced, resulting in increased control of the reporting by the authorities. As of 2007, data are compiled according to the new municipal and regional structure, and reliability is considered slightly lower than before 2007 due to problems with implementation of the new municipality-reform in 2007., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Mining and quarrying, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/mining-and-quarrying

    Documentation of statistics

    Documentation of statistics: Register-Based Labour Force Statistics

    Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Register-Based Labour Force Statistics 2024 , Previous versions , Register-Based Labour Force Statistics 2023, Register-Based Labour Force Statistics 2022, Register-Based Labour Force Statistics 2021, Register-Based Labour Force Statistics 2020, Register-Based Labour Force Statistics 2019, Register-Based Labour Force Statistics 2018, Register-Based Labour Force Statistics 2017, Register-Based Labour Force Statistics 2016, Register-Based Labour Force Statistics 2015, Register-Based Labour Force Statistics 2014, The purpose of the Register-Based Labour Force Statistics (RAS) is to measure the population’s primary attachment to the labour market. This attachment is recorded at the end of November and compiled once a year. The first RAS compilation was made at the end of November 1980., Statistical presentation, RAS is an annual, individual-based compilation that records the population’s attachment to the labour market on the last working day of November. The population’s attachment is divided into three main socio-economic groups: employed, unemployed, and persons outside the labour force. The statistics can be broken down by demographic variables and education, as well as by industry, sector, and municipality of the workplace for employed persons. The data are published in News from Statistics Denmark and in the Statistics Denmark StatBank, and detailed micro-data are made available through Statistics Denmark’s Research Service., Read more about statistical presentation, Statistical processing, The register-based labor force statistics (RAS) are based on the Labor Market Account (AMR_UN), which is a longitudinal register. When RAS is compiled, a status assessment (in relation to the population's primary attachment to the labor market) is carried out on the last working day of November in the AMR. Based on AMR_UN, it is also possible to perform status assessments on arbitrary days throughout the year., Read more about statistical processing, Relevance, The register based labour force statistic (RAS) is primarily been used to structural analysis of the labour market, because the statistic has a very detailed level of information. Many external as well as internal users are using the statistic., Read more about relevance, Accuracy and reliability, RAS is a register-based compilation that uses many data sources to measure the population's affiliation to the labor market. This means that RAS does not have the same uncertainty as statistics based on samples. RAS consists of a wide range of data sources, which are integrated, checked for errors, and harmonized, making it possible to provide a better picture of the population's connection to the labor market than the individual statistics can., Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The first version of the RAS statistics includes the population resident in Denmark as of the 1 January 1981 and its attachment to the labour market at the end of November 1980. The statistic has been compiled once every year since. New and better data foundations and changes in the labour market have however caused a number of data breaks over time, which have influence on the possibility of comparing data over time. Since RAS is based on administrative registers with national distinctive marks, it is very difficult to compare the statistic in an international level. , Read more about comparability, Accessibility and clarity, The statistics is published in Statbank Denmark: , Labour market status (RAS), and , Employed persons (RAS), . , For further information go to the subject pages , Labour market status (RAS), and , Employed persons (RAS), ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/register-based-labour-force-statistics

    Documentation of statistics