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Documentation of statistics: Government Finance , Quarterly Accounts (Discontinued)

Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Government Finance , Quarterly Accounts 2023 , Previous versions, Government Finance , Quarterly Accounts 2022, Government Finance , Quarterly Accounts 2021, Government Finance , Quarterly Accounts 2020, Government Finance , Quarterly Accounts 2019, The purpose of Quarterly General Government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from the first quarter 1999 and onward. The statistics is published within three months of the end of the quarter., Statistical presentation, The statistics show the quarterly expenditure and revenue in the sector of general government. The statistics include more data on taxes, income transfers to households and public consumption. The statistics are published within three months of the end of the quarter to which the data concerns. All numbers are in current prices., Read more about statistical presentation, Statistical processing, The main source for the statistics is the accounts of the state, municipalities and regions. The numbers are supplemented by other sources. Estimates are included for the supplement period. For numbers that are not accrued appropriately to the quarters, a calculation is made based on the numbers for the previous quarters, which are distributed among the quarters. There is conducted error detection and validation of the numbers. Table OFF10K and OFF12K are adjusted for seasonal effects., Read more about statistical processing, Relevance, The statistics covers the sector of government finances. The statistic has a lot of interested parties including ministries, politicians, the press and Eurostat., Read more about relevance, Accuracy and reliability, There is no estimation on the uncertainty. Error accounting records are much more frequent in the quarterly accounting reports than in annual accounting reports. The quarterly accounting reports for the central government, regions and municipalities are not represented a final accounting for the quarter. They rather represent a snapshot of the expenditure and revenue recorded at the end of the quarter., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date which is three months after the end of the quarter. , Read more about timeliness and punctuality, Comparability, There is complete comparability with government finance statistics in other countries complying with international standards, i.e. ESA 2010 and SNA 2008. There is comparability over time, but the numbers are calculated at current prices., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark)., Information is also available from Statbank Denmark at , Statistikbanken, in the tables , OFF3K, , , OFF26K, , , OFF10K, og , OFF12K, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-finance---quarterly-accounts--discontinued-

Documentation of statistics

Documentation of statistics: Distance to general practitioner (experimental statistics)

Contact info, Personal Finances and Welfare, Social Statistics , Camilla Østerballe Nielsen , +45 20 28 52 49 , cnl@dst.dk , Get documentation of statistics as pdf, Distance to general practitioner (experimental statistics) 2024 , Previous versions, The purpose of the statistics "Distance to general practitioner" is to shed light on possible connections between distance to general practitioners and use, or lack of use, of general practitioners. , Statistical presentation, The statistics distance to closest general practitioner, is a measure of the average distance between a persons home address and the nearest general practitioner. The statistics further measure the use of general practitioner according to hove far away a person lives from the general practitioner. The statistics is divided into the population that sees the general practitioner at least once during the measurement year and the population that does not see the doctor during the measurement year. The statistic is further divided into 10 year age groups, gender and municipality groups., Read more about statistical presentation, Statistical processing, The data for these statistics stems from a number of different internal and external data sources. From the National Health Data Authority the National Catalogue of Health Organisations (SOR) is collected. From the register of health services the use of general practitioners is included. Further information on inhabited addresses are included from the statistics on Urban areas. Finally the register of population statistics is used to link persons with inhabited addresses., Read more about statistical processing, Relevance, The statistics can be relevant to the general public and authorities wanting to compare accessibility to general practitioners across municipalities, age groups and gender. , Read more about relevance, Accuracy and reliability, The data for these statistics stems from administrative data and have a high coverage. With regards to SOR one has to make reservations. Further it is noted the it is up to the individual general practitioner to register in SOR, and there might not be a validation on the addresses being typed correctly leading to potential inaccuracy. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published in February 2026 and are not expected to be published again., Read more about timeliness and punctuality, Comparability, Statistics Denmark are not aware of comparable, publicly available, statistics nationally or internationally. These statistics are only published for one year, and is not comparable in time., Read more about comparability, Accessibility and clarity, The statistics can be found in the StatBank under the , Consultations with physicians, . It has been made sure there's at least 3 observation per cell. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/distance-to-general-practitioner--experimental-statistics-

Documentation of statistics

Classification of education (DDU), completed educations, v1:2026

Name: , DDU_AUDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

Classification of education (DDU), current educations, v1:2026

Name: , DDU_UDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), current educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), current educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Documentation of statistics: Aviation

Contact info, Short Term Statistics, Business Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Aviation 2026 , Previous versions, Aviation 2025, Aviation 2024, Aviation 2023, Aviation 2022, Aviation 2021, Aviation 2020, Aviation 2019, Aviation 2018, Aviation 2017, Aviation 2016, Aviation 2015, Aviation 2014, The aviation statistics sheds light on investments in the airports' infrastructure and on the development of transport of goods and passengers through Danish airports. The present aviation statistics were established in 1997. Previously aviation statistics were published only in summary form in the , Statistical Yearbook., Statistical presentation, The Aviation statistics describe annually investments in the infrastructure and quarterly and annually the development in air transport of passengers and goods through Danish airports. Statistics are compiled for domestic and international flights and subdivided into scheduled flights, non scheduled flights (charter and taxi flights) and other flights. Quarterly figures on passengers are seasonally adjusted., Read more about statistical presentation, Statistical processing, Data from the Danish Civil Aviation and Railway Authority are wholly covering the population and no imputation is made. Data on passengers are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, the air ports themselves, ministries, etc. mostly for monitoring the market, deciding on transport policies and plan for investments in infrastructure., Read more about relevance, Accuracy and reliability, The aviation statistics is based on an exhaustive census, i.e. there is no sampling errors and total error in the final statistics is assessed to be very small., Minor revisions do occur after first publication but the statistics are generally correct., Read more about accuracy and reliability, Timeliness and punctuality, Statistics Denmark publishes quarterly data approximately 50 days after end of reference period., Data are always published at the scheduled and announced time of publication., Read more about timeliness and punctuality, Comparability, There is a consistent time series dating back to 1990. Data are wholly comparable with statistics from other countries within the European Statistical System, ESS., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Transport, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/aviation

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: Cinemas and Films

Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , CBF@dst.dk , Get documentation of statistics as pdf, Cinemas and Films 2025 , Previous versions, Cinemas and Films 2024, Cinemas and Films 2023, Cinemas and Films 2022, Cinemas and Films 2021, Cinemas and Films 2020, Cinemas and Films 2019, Cinemas and Films 2018, Cinemas and Films 2017, Cinemas and Films 2016, Cinemas and Films 2015, Cinemas and Films 2014, Cinemas and Films 2012, The purpose of the statistics is to describe the Danish structure of cinemas, the number of films to shown an audience and the number of tickets sold (paid admissions) to these shows. In their present form the statistics have been compiled since 1980., Statistical presentation, For cinemas the statistics shows the number of cinemas, number of cinema screens, seats, films shown, tickets sold and admission takings. For films the statistics shows the nationality, release year, number of films shown in selected geographical areas, tickets and admission takings (box office) for both the reference period (calendar year) and for the period since 1976. Furthermore the statistics shows the pattern of admission takings over time for films according to their respective release dates., Read more about statistical presentation, Statistical processing, All free free tickets are removed. Data is collected and published annually. Number of sold tickets and number of films is summarized to relevant groupings., Read more about statistical processing, Relevance, Users are The Danish Film Institute, the media and various interest groups. There have been no study of user satisfaction. The statistic is used for analysis on the topic. , Read more about relevance, Accuracy and reliability, From 2016 the cinema and film statistics includes all the cinemas, which is included in data, which is estimated to comprise over 99 per cent. of all admissions in cinemas., Read more about accuracy and reliability, Timeliness and punctuality, This statistics is published around 4 months after the end of the year of reference. Publication time is usually precise. , Read more about timeliness and punctuality, Comparability, The study is in its present form has been prepared since 1984. For many key numbers, it is possible to compare with figures dating from 1976. After a revision of the statistics in 2014 it is not possible to compare the statistics of showing weeks. Number of tickets divided by population was cancelled in 2016., The organisation Media Salles publishes number of moviegoers for a number of european countries., 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 , Cinemas and films, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cinemas-and-films

Documentation of statistics

Documentation of statistics: Felling of Wood in the Danish Forests

Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Felling of Wood in the Danish Forests 2024 , Previous versions, Felling of Wood in the Danish Forests 2023, Felling of Wood in the Danish Forests 2022, Felling of Wood in the Danish Forests 2021, Felling of Wood in the Danish Forests 2020, Felling of Wood in the Danish Forests 2019, Felling of Wood in the Danish Forests 2018, Felling of Wood in the Danish Forests 2017, Felling of Wood in the Danish Forests 2016, These statistics cover the production of wood in Danish forests and plantations. The figures are used for the calculation of the gross value added for forestry. Statistics on felling of wood in Danish forests and plantations can be traced back to 1950., Statistical presentation, The statistics are a yearly enumeration of tree felling. The tree felling is divided into tree for energy, firewood and different kinds of timber. Timber can for instance be used for production of paper and furniture. The figures are distributed geographically by regions and provinces., Read more about statistical presentation, Statistical processing, The base of the statistics is a sample survey with questionnaires. The sample is representative for regions and size groups.., The questionnaires are completed online. Before publication the answers are validated where each single questionnaire is subject to a control for reliability. , Read more about statistical processing, Relevance, There is no survey on user satisfaction but the main impression is a high degree of satisfaction, however many users would like to have figures for area with forestry by municipalities. , Read more about relevance, Accuracy and reliability, Due to a small sample of only 10 percent of the forests the sample error is higher than for similar agricultural surveys, also because a relatively big part of the felling is among small forests with a low coverage in the sample., The sample error of felling of trees s about 2 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in December the year after the reference year, for 2024 December 15 2025., Read more about timeliness and punctuality, Comparability, The survey has always had the same standard and the same target population. Prior to the 2012 survey Statistics Denmark conducted a project aiming at improving the register of forestry farms. At the same time the extrapolation was for the first time made dependent on the total area with forestry. It means that the total felling in 2012 estimated to 3.1 million m3 should be seen as reliable whereas the results recent years before 2012 most likely are underestimated by about 500.000 m3., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Forestry, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/felling-of-wood-in-the-danish-forests

Documentation of statistics

Documentation of statistics: Government budget allocations for research and development

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 24 76 70 09 , JFJ@dst.dk , Get documentation of statistics as pdf, Government budget allocations for research and development 2025 , Previous versions, Government budget allocations for research and development 2024, Government budget allocations for research and development 2023, Government budget allocations for research and development 2022, Government budget allocations for research and development 2021, Government budget allocations for research and development 2020, Government budget allocations for research and development 2019, Government budget allocations for research and development 2018, Government Budget on Appropriations and Outlays to Research and Development 2017, Government Budget on Appropriations and Outlays to Research and Development 2016, Government Budget on Appropriations and Outlays to Research and Development 2013, The statistic give information on the general government budget for research and development from 2001 onwards. The Ministry of Finance is in charge of the bigger part of the data collection., Statistical presentation, The purpose of the GBARD-statistics is to inform on the public funds available for research and development. The information includes information on the amounts available from the different parts of General Government., Read more about statistical presentation, Statistical processing, Data are received and published once a year. The primary data source is the State Budget for Research and Development, though Statistics Denmark gathers data from additional sources as well. The Ministry of Finance ensures quality control of reported data based on the state budget. In a few cases Statistics Denmark examines further the relevance of reported data., Read more about statistical processing, Relevance, Reporting of the data to the EU is regulated by order., Read more about relevance, Accuracy and reliability, Quality is expected to be good as data is reported directly from the ministries responsible for the accounts with research and development and as the Ministry of Finance validates the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic comprises data on the state budget which are published in the beginning of the reference year, and data on other parts of the GBARD-statistic which are published half a year later., The statistic is usually published without delays., Read more about timeliness and punctuality, Comparability, The statistic is comparable with GBARD-statistics for other countries., Read more about comparability, Accessibility and clarity, Data are available in Statbank in the tables: FOUBUD, FOUBUD1, FOUBUD4, FOUBUD5. Data is not published in a dedicated publication. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-budget-allocations-for-research-and-development

Documentation of statistics

Documentation of statistics: Coverage of general practitioners

Contact info, Personal Finances and Welfare , +45 61 50 23 80 , Get documentation of statistics as pdf, Coverage of general practitioners 2023 , Previous versions, The purpose of the statistics Coverage of general practitioners is to shed light on geographical differences in the coverage of general practitioners in Denmark. The statistics are used to compare different municipality groups' coverage of general practitioners and gain insight into which geographical areas show signs of a shortage of general practitioners. The statistics are newly developed and cover the period from 2015 and onwards. The statistics are comparable throughout the period., Statistical presentation, Coverage of general practitioners is an annual measurement of the coverage of general practitioners stated in number of people per medical capacity. A medical capacity is an administrative unit which is used to regulate the supply of general medical services under the National Health Insurance. According to the agreement about general practice, a capacity must be able to handle approximately 1,600 registered group 1 insured persons. The statistics are grouped by municipality groups., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Danish Health Data Authority's key figures for general practice and population statistics. Collected data are not further validated. Instead, collected data are merged, and the information about the number of people per medical capacity is calculated for each municipality to the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of geographical differences in the coverage of general practitioners in Denmark., Read more about relevance, Accuracy and reliability, The statistics are a good measure of the coverage of general practitioners in the country's municipalities since the registration of medical capacities presumably is complete as it is used to regulate the supply of general medical services under the National Health Service. The population statistics only have a minor uncertainty due to the lack of registration of illegal immigrants and delayed registration of emigrants. Revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 5 months after the end of the reference period. Publications are released on time as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics are newly developed and cover the period from 2015 and onwards. The statistics are comparable throughout the period., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Consultations of physicians, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/coverage-of-general-practitioners

Documentation of statistics