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    Documentation of statistics: Cultural Business Structure and Labour Market

    Contact info, Science, Technology and Culture, Business Statistics , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , asd@dst.dk , Get documentation of statistics as pdf, Cultural Business Structure and Labour Market 2023 , Previous versions , Cultural Business Structure and Labour Market 2022, Cultural Business Structure and Labour Market 2021, Cultural Business Structure and Labour Market 2020, Cultural Business Structure and Labour Market 2019, Cultural Business Structure and Labour Market 2018, Cultural Business Structure and Labour Market 2017, Cultural Business Structure and Labour Market 2016, Cultural Business Structure and Labour Market 2015, Cultural Business Structure and Labour Market 2014, Cultural Business Structure and Labour Market 2013, Cultural Business Structure and Labour Market 2012, The purpose of the statistics is to analyze workplaces as well as persons employed within the cultural sector. The statistics is compiled from 2008 and is published annually., Statistical presentation, The statistics on Cultural Business Structure and Labour Market are compiled annually and provide data on workplaces, entrepreneurs, jobs and persons employed in the cultural sector. Detailed results are disseminated through a number of tables in StatBank Denmark and main results and links to tables can be accessed at the subject page for economic conditions for culture as well as in the annual publication Culture (from 2015 and onwards)., Read more about statistical presentation, Statistical processing, The statistics is based on edited register data from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. The number of jobs are calculated for workplaces (establishments) in relevant activity sectors and are linked to personal data on e.g. age and educational status for employees., Read more about statistical processing, Relevance, The statistics is accessible for everybody and can be used for summaries of the entrepreneurship, educational status and employment within the cultural sector. The statistics may be used for analyses, planning and debates on the topic of cultural employment, etc., Read more about relevance, Accuracy and reliability, The statistics is based on validated data from Statistics Denmark's central registers that form the basis of official statistics, refer to the documentations of statistics for Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. No actual measurement of the quality and no calculations on measures of accuracy has been performed., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 20 months after the end of the reference period awaiting the compilation of source register data. It is a fairly new statistics that has been published punctually., Read more about timeliness and punctuality, Comparability, The current time series starts in 2008 and is without any data breaks. The statistics can be compared to selected results from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. Eurostat and Unesco regularly publish reports on the same subject matters as this statistics., Read more about comparability, Accessibility and clarity, These statistics are published annually in the StatBank under the subject , Education and employment in the cultural field, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Construction Cost Indices for Civil Engineering Projects

    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 Indices for Civil Engineering Projects 2026 , Previous versions , Construction Cost Indices for Civil Engineering Projects 2025, Construction Cost Indices for Civil Engineering Projects 2024, Construction Cost Indices for Civil Engineering Projects 2023, Construction Cost Indices for Civil Engineering Projects 2022, Construction Cost Indices for Civil Engineering Projects 2021, Construction Cost Indices for Civil Engineering Projects 2020, Construction Cost Indices for Civil Engineering Projects 2019, Construction Cost Indices for Civil Engineering Projects 2018, Construction Cost Indices for Civil Engineering Projects 2017, Construction Cost Indices for Civil Engineering Projects 2016, Construction Cost Indices for Civil Engineering Projects 2015, Construction Cost Indices for Civil Engineering Projects 2014, The Construction cost indices for civil engineering projects show the trends in prices for construction of civil engineering projects in Denmark. It is used, among other things, for regulation of building contracts, and for following the economic conjuncture in the construction industry. The statistics have been compiled in various forms since 1959, but in its current form the indices for earth work, asphalt work, concrete structures, and iron structures are comparable from 1976 and onwards. The index for roads is comparable from 1996 and onwards., Statistical presentation, The Construction cost indices for civil engineering projects shows trends in prices for work performed by different contractors in civil engineering projects: Earth work, asphalt work, concrete structures, iron structures, operating index, and sub-indices for Freight transport by road, and Equipment and machinery. Trends in costs for construction of roads are also monitored based on a weighing of indices for earthwork, asphalt work, concrete structures and iron structures., Read more about statistical presentation, Statistical processing, The indices are calculated on the basis of information from the Standardised index of average earnings, Price index for domestic supply and, the Producer price index for services., For all indices, sub-indices for labor costs and main cost groups are calculated. These sub-indices are weighed together to form the main indices. The weights reflect the shares of labor costs, material costs and equipment costs of the total costs of performing civil-engineering projects. The weights are based on an analysis of actual, completed civil engineering projects., Read more about statistical processing, Relevance, The purpose of the Construction cost indices for civil engineering projects is to reflect the development in the costs of civil-engineering projects. It is mainly used for regulation of building contracts. The indices are utilized primarily by construction organizations, contractors, building owners, craftsmen, lawyers and public authorities., Read more about relevance, Accuracy and reliability, Overall the statistics are assessed to be representative for the general trends in costs of civil engineering projects in Denmark. The weight basis is based on an analysis of actual civil engineering projects. Changes in the typical use of materials, unusual price developments etc. may therefore affect the index' accuracy. The weight basis was last updated in 2025 with 2021 as reference period and is deemed representative for typical civil engineering work., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly approximately 65 days after the end of the quarter, i.e. at the beginning of March (4th quarter), June (1st quarter), September (2nd quarter) and December (3rd quarter). Yearly statistics (four quarter averages) are also published in connection with the 4th quarter publication. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The first cost index for road fund work was compiled for March 1959 and the index for motorway work was compiled for the first time for March 1967., The indices have since then changes both weights and calculation method several times, thus they are not directly comparable over time when going back to 1959., The Norwegian statistical agency /(Statistics Norway) produce a cost index for road construction which is comparable to the Danish indices., Read more about comparability, Accessibility and clarity, These statistics are published in StatBank Denmark under the subject , Indices for the construction sector, . , 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-indices-for-civil-engineering-projects

    Documentation of statistics

    Documentation of statistics: Adult education and continuing training

    Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, Adult education and continuing training 2025 , Previous versions , Adult education and continuing training 2024, Adult education and continuing training 2023, Adult education and continuing training 2022, Adult education and continuing training 2021, Courses and Adult Education 2020, Courses and Adult Education 2019, Courses and Adult Education 2018, Courses and Adult Education 2017, Courses and Adult Education 2016, Courses and Adult Education 2016, Courses and Adult Education 2013-2014, Courses and Adult Education 2012-2013, The purpose of the statistics is to provide a picture of the people's participation in courses and adult education i.e. formal courses which are financed, planned and controlled by a public provider., The data collection on course activities has stated at different times for the different course types, and the first ones are registered from 1970's. , Statistical presentation, The statistics gives information on number of persons participating in courses and adult education i.e. formal external courses which are financed, planned and controlled by a public provider. If an education consists of several modules as in the case of Higher Preparatory Examination (HF) or a diploma, each module is counted. The information is collected and kept in the Course Participation Register., If the course participant has completed a number of courses that add up to a whole education e.g. the Higher Preparatory Examination (HF), an academy exam or a diploma the information on the attained qualifications is collected and kept in the Quality Register., Read more about statistical presentation, Statistical processing, Data comes from eight different data collection. , The Ministry of Immigration and Integration collect and checks data for language courses for foreigners before data is send to Statistics Denmark. The Ministry of Education collect and checks data for the adult vocational programmes (in Danish AMU), general and preparatory education and Business Schools before is send to Statistics Denmark. The information from the vocational colleges, business academies, universities and artistic educational institutions is collected by Statistics Denmark After the data has been received, all data undergo an error check in Statistics Denmark., Read more about statistical processing, Relevance, The users of the statistics includes individuals, civil servants, private organizations, foreign actors and the respondents of the data., Applications: Public and private planning, Research, Education, Debate and Marketing etc., One to two times a year members of a Danish committee on education (in Danish, "Ekspertudvalget for Uddannelsesstatistik") meets. In connection with this meeting user-representatives from selected ministries, Labour market organisations and NGOs in the education sector have the opportunity to comment on the statistics., Read more about relevance, Accuracy and reliability, The school year 2025 lacks information on AVU, FVU, HF single subject, dyslexia education, GSK, GIF and open profession. They will be included in the next update of the table. Please note that data at institutions under Ministry of Culture are not included. Moreover, under reporting sometimes occurs the first years after a new activity has been reported. , The far most important source of inaccuracy is incorrect or insufficient registrations. The course provider have the opportunity of reporting supplementary data for previous periods, mainly the year before. Therefore, the latest year is considered as being provisional. The opportunity is used only in a few cases. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published within one year after the reference year. The date of publication may vary and is therefore announced separately each year., The statistics is published on time., Read more about timeliness and punctuality, Comparability, Consistency over time is good in some areas e.g. for Higher Preparatory Examination (in Danish, HF) and Business Administration (in Danish, HD). In other areas as is the case with adult vocational programmes (in Danish, AMU), many changes in course subject and course length make comparability difficult. The activity reflects the trends on the labour market and changes in subsidies. There are no comparable statistics from other countries., Statistics Denmark has since 2015 released data about the course Danish labour market language skills. Since July 1 2017 this course is no longer being offered and has resulted in a notable decrease in the numbers. , Read more about comparability, Accessibility and clarity, The main figures are published in Statbank Denmark under the subject , Adult education programmes, ., Taylor-made statistics is available via , Statistics Denmark's Costumers Centre, . , Micro-data are accessible via , Denmark's Data Portal, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-and-continuing-training

    Documentation of statistics

    Counties and municipalities, v3:2006

    Name: , AMT_KOM_V3_2006 , Description: , Before 1970, Denmark was divided into approx. 1300 parish municipalities, 86 market town municipalities and 25 counties. The Danish Municipal Reform in 1970 resulted by law in a new local and regional structure for the whole country with two administrative levels - municipalities and counties - and thereby a change of administrative units. , With the Danish Municipal Reform in 1970, the number of counties was reduced to 14 and municipalities to 277. Copenhagen Municipality (code 101) and Frederiksberg Municipality (code 147) were the only ones assigned both county and municipal tasks. After the amalgamation of the Bornholm municipalities in 2003, Bornholm's Regional Municipality (code 400) held the same special status as Copenhagen and Frederiksberg. , From 1 April 1974, Sengeløse Municipality was incorporated into Høje-Taastrup Municipality (code 169) and Store Magleby Municipality was incorporated into Dragør Municipality (code 155), which reduced the total number of municipalities to 275. , From 1 January 2003, Bornholm's Regional Municipality (code 400) was established by merging Allinge-Gudhjem (code 401), Hasle (code 403), Nexø (code 405), Rønne (code 407) and Aakirkeby (code 409) Municipalities and Bornholm County. The merger reduced the total number of municipalities in Denmark to 271. , From 1 January 2006, Ærø Municipality (code 492) was be established by merging Marstal Municipality (code 443) and Ærøskøbing Municipality (code 493), which reduced the total number of municipalities in Denmark to 270. , This classification includes Christiansø (code 411). Christiansø is not part of a municipality. Instead it is administered directly by the state through the Danish Ministry of Defence. The geographical breakdown of counties and municipalities is consistent with the Nomenclature of territorial units for statistics (, NUTS, )., Valid from: , January 1, 1970 , Valid to: , December 31, 2006 , Office: , Metode og Data Science , Contact: , Rohan James Draper, , rjd@dst.dk, , ph. +45 21 33 89 16 , Codes and categories , Open hierarchy, Download , CSV, DDI, 100: København and Frederiksberg, 101: København, 147: Frederiksberg, 150: Københavns Amt, 151: Ballerup, 153: Brøndby, 155: Dragør, 157: Gentofte, 159: Gladsaxe, 161: Glostrup, 163: Herlev, 165: Albertslund, 167: Hvidovre, 169: Høje Taastrup, 171: Ledøje-Smørum, 173: Lyngby-Taarbæk, 175: Rødovre, 181: Søllerød, 183: Ishøj, 185: Tårnby, 187: Vallensbæk, 189: Værløse, 200: Frederiksborg Amt, 201: Allerød, 205: Birkerød, 207: Farum, 208: Fredensborg-Humlebæk, 209: Frederikssund, 211: Frederiksværk, 213: Græsted-Gilleleje, 215: Helsinge, 217: Helsingør, 219: Hillerød, 221: Hundested, 223: Hørsholm, 225: Jægerspris, 227: Karlebo, 229: Skibby, 231: Skævinge, 233: Slangerup, 235: Stenløse, 237: Ølstykke, 250: Roskilde Amt, 251: Bramsnæs, 253: Greve, 255: Gundsø, 257: Hvalsø, 259: Køge, 261: Lejre, 263: Ramsø, 265: Roskilde, 267: Skovbo, 269: Solrød, 271: Vallø, 300: Vestsjællands Amt, 301: Bjergsted, 303: Dianalund, 305: Dragsholm, 307: Fuglebjerg, 309: Gørlev, 311: Hashøj, 313: Haslev, 315: Holbæk, 317: Hvidebæk, 319: Høng, 321: Jernløse, 323: Kalundborg, 325: Korsør, 327: Nykøbing-Rørvig, 329: Ringsted, 331: Skælskør, 333: Slagelse, 335: Sorø, 337: Stenlille, 339: Svinninge, 341: Tornved, 343: Trundholm, 345: Tølløse, 350: Storstrøms Amt, 351: Fakse, 353: Fladså, 355: Holeby, 357: Holmegaard, 359: Højreby, 361: Langebæk, 363: Maribo, 365: Møn, 367: Nakskov, 369: Nykøbing Falster, 371: Nysted, 373: Næstved, 375: Nørre Alslev, 377: Præstø, 379: Ravnsborg, 381: Rudbjerg, 383: Rødby, 385: Rønnede, 387: Sakskøbing, 389: Stevns, 391: Stubbekøbing, 393: Suså, 395: Sydfalster, 397: Vordingborg, 400: Bornholm, 400: Bornholm, 401: Allinge-Gudhjem, 403: Hasle, 405: Nexø, 407: Rønne, 409: Aakirkeby, 411: Christiansø, 420: Fyns Amt, 421: Assens, 423: Bogense, 425: Broby, 427: Egebjerg, 429: Ejby, 431: Faaborg, 433: Glamsbjerg, 435: Gudme, 437: Haarby, 439: Kerteminde, 441: Langeskov, 443: Marstal, 445: Middelfart, 447: Munkebo, 449: Nyborg, 451: Nørre Aaby, 461: Odense, 471: Otterup, 473: Ringe, 475: Rudkøbing, 477: Ryslinge, 479: Svendborg, 481: Sydlangeland, 483: Søndersø, 485: Tommerup, 487: Tranekær, 489: Ullerslev, 491: Vissenbjerg, 492: Ærø, 493: Ærøskøbing, 495: Ørbæk, 497: Årslev, 499: Aarup, 500: Sønderjyllands Amt, 501: Augustenborg, 503: Bov, 505: Bredebro, 507: Broager, 509: Christiansfeld, 511: Gram, 513: Gråsten, 515: Haderslev, 517: Højer, 519: Lundtoft, 521: Løgumkloster, 523: Nordborg, 525: Nørre Rangstrup, 527: Rødding, 529: Rødekro, 531: Skærbæk, 533: Sundeved, 535: Sydals, 537: Sønderborg, 539: Tinglev, 541: Tønder, 543: Vojens, 545: Aabenraa, 550: Ribe Amt, 551: Billund, 553: Blåbjerg, 555: Blåvandshuk, 557: Bramming, 559: Brørup, 561: Esbjerg, 563: Fanø, 565: Grindsted, 567: Helle, 569: Holsted, 571: Ribe, 573: Varde, 575: Vejen, 577: Ølgod, 600: Vejle Amt, 601: Brædstrup, 603: Børkop, 605: Egtved, 607: Fredericia, 609: Gedved, 611: Give, 613: Hedensted, 615: Horsens, 617: Jelling, 619: Juelsminde, 621: Kolding, 623: Lunderskov, 625: Nørre Snede, 627: Tørring-Uldum, 629: Vamdrup, 631: Vejle, 650: Ringkøbing Amt, 651: Aulum-Haderup, 653: Brande, 655: Egvad, 657: Herning, 659: Holmsland, 661: Holstebro, 663: Ikast, 665: Lemvig, 667: Ringkøbing, 669: Skjern, 671: Struer, 673: Thyborøn-Harboøre, 675: Thyholm, 677: Trehøje, 679: Ulfborg-Vemb, 681: Videbæk, 683: Vinderup, 685: Åskov, 700: Århus Amt, 701: Ebeltoft, 703: Galten, 705: Gjern, 707: Grenaa, 709: Hadsten, 711: Hammel, 713: Hinnerup, 715: Hørning, 717: Langå, 719: Mariager, 721: Midtdjurs, 723: Nørhald, 725: Nørre Djurs, 727: Odder, 729: Purhus, 731: Randers, 733: Rosenholm, 735: Rougsø, 737: Ry, 739: Rønde, 741: Samsø, 743: Silkeborg, 745: Skanderborg, 747: Sønderhald, 749: Them, 751: Århus, 760: Viborg Amt, 761: Bjerringbro, 763: Fjends, 765: Hanstholm, 767: Hvorslev, 769: Karup, 771: Kjellerup, 773: Morsø, 775: Møldrup, 777: Sallingsund, 779: Skive, 781: Spøttrup, 783: Sundsøre, 785: Sydthy, 787: Thisted, 789: Tjele, 791: Viborg, 793: Aalestrup, 800: Nordjyllands Amt, 801: Arden, 803: Brovst, 805: Brønderslev, 807: Dronninglund, 809: Farsø, 811: Fjerritslev, 813: Frederikshavn, 815: Hadsund, 817: Hals, 819: Hirtshals, 821: Hjørring, 823: Hobro, 825: Læsø, 827: Løgstør, 829: Løkken-Vrå, 831: Nibe, 833: Nørager, 835: Pandrup, 837: Sejlflod, 839: Sindal, 841: Skagen, 843: Skørping, 845: Støvring, 847: Sæby, 849: Aabybro, 851: Aalborg, 861: Aars, All versions, Name, Valid from, Valid to, Counties and municipalities, v3:2006, January 1, 1970, Still valid, Counties and municipalities, v2:2003, January 1, 1970, December 31, 2005, Counties and municipalities, v1:1970, January 1, 1970, December 31, 2002

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/amt-kom

    Documentation of statistics: Birth Cohort Crime

    Contact info, Personal Finances and Welfare, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Birth Cohort Crime 2025 , Previous versions , Birth Cohort Crime 2024, Birth Cohort Crime 2023, Birth Cohort Crime 2022, Birth Cohort Crime 2021, Birth Cohort Crime 2020, Birth Cohort Crime 2019, Birth Cohort Crime 2018, Birth Cohort Crime 2017, Birth Cohort Crime 2016, Birth Cohort Crime 2014, Birth Cohort Crime 2015, The purpose of the statistics is to analyse the number of persons from each birth cohort who have been found guilty in violation of the penal code during their lifetime. The statistics on birth cohort crime 2025 covers the birth cohorts 1965-2009., Statistical presentation, The statistics shed light on the number of persons in each birth cohort who have been convicted for violation of the penal code during their life time. , The published statistics distributes the birth cohorts by sex and age at first conviction. Furthermore, the statistics show the age at first conviction for groups of offences., Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register. , When data are delivered to this statistics, they are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. , Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organisations, researchers, the press etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics. , Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics has been prepared on the same data source since its start. In general, the statistics is therefore comparable during time., Law amendments in terms of changes in the penalties for certain types of offences can have influenced the development in the proportion of the birth cohorts registered with a conviction for these kinds of offences., Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark, ., In StatBank the statistics are published under the subject , Birth cohort crime rates, in the tables , STRAFFO1, , , STRAFFO2, , , STRAFFO3, og , STRAFFO4, ., See more at the , subject page., ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/birth-cohort-crime

    Documentation of statistics

    Documentation of statistics: Production of fruit and vegetables

    Contact info, Food Industries, Business Statistics , Martin Lundø , Get documentation of statistics as pdf, Production of fruit and vegetables 2025 , Previous versions , The statistics describe the production of fruit and vegetables in Denmark. The statistics are part of the coverage of the food industry and its production and are a fulfillment of EU regulation, (EU) 2022/2379 (SAIO). The statistics have been prepared in their current form since 2025. The statistics complement other statistics on vegetable production, including the harvest of cereals, rapeseed and legumes as well as roughage., Statistical presentation, The statistics are an annual statement of the production of fruit and vegetables in harvested area (hectares) and production (tons). The statistics are compiled by crops. Selected crops are also compiled by organic production form. The statistics are disseminated in News from Statistics Denmark and in the Statbank., Read more about statistical presentation, Statistical processing, The figures are collected in an annual questionnaire-based survey among farms that have applied for area support (basic payment) or that have a greenhouse. The statistics are a total count among farms that meet these minimum limits for each crop group. Data is collected annually via a web questionnaire. The collected data is debugged based on consistency rules and yield limits., Read more about statistical processing, Relevance, The statistics illustrate the production of fruit and vegetables and are used by the industry (agriculture and horticulture), researchers, the EU, authorities and for calculating GDP., Read more about relevance, Accuracy and reliability, The overall accuracy is considered good. There is no sampling uncertainty, but there may be estimates in the indication of production in weight. A smaller number of responses are imputed. The statistics follow EU standards., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than May, 5 months after the end of the reference period. The statistics are normally published without delay from the announced date., Read more about timeliness and punctuality, Comparability, Similar statistics are compiled among EU member states. The statistics comply with EU regulations and guidelines. There are no other Danish statistics on the subject. Data for the period 2003-2024 have previously been published. However, data collection for the individual crops has only been carried out in selected years, and production figures for the intervening years are therefore based on yield estimates. Harvested area is only included for the years in which data were collected., 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 , Crop production, . For further information, go to the subject page , Crop production, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-of-fruit-and-vegetables

    Documentation of statistics

    Documentation of statistics: Stocks of Wholesale

    Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Stocks of Wholesale 2026 , Previous versions , Stocks of Wholesale 2025, Stocks of Wholesale 2024, Stocks of Manufacturers and Wholesale 2022, Stocks of Manufacturers and Wholesale 2021, Stocks of Manufacturers and Wholesale 2019, Stocks of Manufacturers and Wholesale 2018, Stocks of Manufacturers and Wholesale 2017, Stocks of Manufacturers and Wholesale 2016, Stocks of Manufacturers and Wholesale 2015, Stocks of Manufacturers and Wholesale 2014, The primary purpose of the statistics stocks of wholesale is to deliver timely figures for changes in stocks for use in the quarterly national accounts statistics. The statistics were first published in 1987, but the current form started in 2001., Statistical presentation, The statistics describe quarterly changes in the stocks of manufacturing and whole sale. , Read more about statistical presentation, Statistical processing, Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are important for the quarterly National Accounts. They are also used by ministries, banks, trade associations and others that want to include stock changes in assessments of the short-term economic situation., Read more about relevance, Accuracy and reliability, The sample has not been updated in several years and the method of grossing up very basic. However, it is still believed that the statistics present a good indication of stock changes, as all the largest enterprises are included - and it is to a very large degree the large enterprises that account for the significant changes in stock., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 55 days after the end of the quarter with high punctuality. The statistics are finally after half a year., Read more about timeliness and punctuality, Comparability, Several countries produce statistics on stock changes, but there are no international or European regulations that ensure comparability. , The statistics measure only stock changes. For total stocks, see the , accounts statistics, ., The statistics go back to 1987., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under the subject , Wholesale stocks, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stocks-of-wholesale

    Documentation of statistics

    Documentation of statistics: Price of North Sea oil

    Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , NEL@dst.dk , Get documentation of statistics as pdf, Price of North Sea oil 2025 , Previous versions , Price of North Sea oil 2023, Price of North Sea oil 2022, These statistics show an average price for North Sea oil sold, that reflects the characteristics applied to oil production in the Danish part of the North Sea. These statistics are produced and disseminated as part of the Hydrocarbon Tax Act and were first published in 2023 with figures for 2022., Statistical presentation, These statistics provide annual figures with the yearly average of the prices of the North Sea oil sold, quoted in US dollars (USD)., Read more about statistical presentation, Statistical processing, Price data for sold North Sea oil is collected annually. Statistics Denmark validates data including checking that there is data for all trading days. Statistics Denmark then uses the published reference price (PCAAS00) as the basis for calculating the average crude oil price during the year. The calculation is made as a simple average of the daily-published reference prices., Read more about statistical processing, Relevance, The statistics are relevant to SKAT as a basis for hydrocarbon taxation, which is described in more detail in the Hydrocarbon Tax Act., Read more about relevance, Accuracy and reliability, The use of the oil price collected from S&P Global Commodity Insights, PCAAS00, as well as the calculation of the annual price as a simple average, is specifically mentioned in the comments to the Hydrocarbon Tax Act, the price's precision and representativeness for Danish North Sea oil is affected both by which fields are incorporated into the price for North Sea oil and how S&P Global Commodity Insights makes quality adjustments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 15 days after the end of the year, i.e. no later than February 15. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, These statistics will be published for the first time in 2023, and the statistics are prospectively comparable to previous years. The representativeness of the collected price data is continuously assessed by Statistics Denmark and an expert group consisting of the Nordsøfonden and the Energy Agency., Read more about comparability, Accessibility and clarity, The statistics are published annually in the statistics bank under environment and energy, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-of-north-sea-oil

    Documentation of statistics

    Documentation of statistics: Budgets of General Government

    Contact info, Government Finances , Martin Rune Rasmussen , +45 24 77 42 71 , MRA@dst.dk , Get documentation of statistics as pdf, Budgets of General Government 2025 , Previous versions , Budgets of General Government 2024, Budgets of General Government 2021, Budgets of General Government 2020, Budgets of General Government 2019, Budgets of General Government 2018, Budgets of General Government 2015, The purpose of Budgets of General Government is to analyze the economic activities of general government and to analyze the distribution of tasks and burden between sub-sectors of general government and finally to show the interaction between this sector and the rest of the economy. The budget-statistics of the February-version is based on passed budgets of state, counties and municipalities as well as social welfare funds. The September version is based on proposals for the state budget and the March version is based on the state budget. Both versions are compiled in cooperation with the Department of Finance. The calculations of the budget statistics of counties and municipalities are based on a national accounting standards interpretation of the municipal financial agreements. Social welfare funds numbers are calculated on estimates from unemployment funds. The statistics were produced for the first time in 1995. Data are available from 1996 and onward., Statistical presentation, The statistics monitor current and capital expenditure/revenue for the general government based on budgets. Net lending / net borrowing of the general government are shown. Expenditure /revenue items are shown by type of transaction and by type of function. Taxes, subsidies and transfers to households are sub-divided by type., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public budget systems and other supplementary sources. It is then compiled according to national accounts principles, where it may be necessary to contact the specific source to clarify certain characteristics of the entries. It may be necessary to make imputations in cases where the data isn’t available at the time of publication. When a full dataset is compiled for all subsectors balancing is carried out to secure internal consistency., Read more about statistical processing, Relevance, Many users who monitor the public economy have interest in the published statistics of government finance statistics. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistic covers the entire target population. The central government budget is received from Agency for Public Finance and Management (Økonomistyrelsen). All municipalities and regions must report their budgets, and missing budgets are thus not permitted. As the budgets are delivered directly from the municipalities and regions' own financial management systems and compared with data from prior years as well as the budget, it is assumed that no major measurement errors exist. If there are blank or invalid variables or dataset the municipality or region is contacted so new data may be sent., Read more about accuracy and reliability, Timeliness and punctuality, The March-version is published three month after the adoption of the budget. The September version is published one week after the publication of the budget proposal. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Data are comparable according to ESA2010 from the fiscal year 2015 and onward. For the years 1995 to 2014 the figures is comparable according to ESA1995, Read more about comparability, Accessibility and clarity, [!!! Start import from current English QD : Paragraph 5.1 !!!], The statistics are published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and in Offentlige finanser (Public Finance) appearing in the series Statistiske Efterretninger (Statistical News). Yearly publications: Statistical Yearbook and Statistical Ten-Year Review., [!!! End import from current English QD : Paragraph 5.1 !!!], Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/budgets-of-general-government

    Documentation of statistics

    Documentation of statistics: Absence from work

    Contact info, Labour Market, Social Statistics , Summer Cook , +45 30 68 39 52 , SCO@dst.dk , Get documentation of statistics as pdf, Absence from work 2024 , Previous versions , Absence from work 2023, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

    Documentation of statistics