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Counties and municipalities, v2:2003

Please note, a more current version of this classification is now available. See the current version , here., Name: , AMT_KOM_V2_2003 , 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. , 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, 2005 , 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, 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?id=af2a51e3-f22d-4b1a-8537-fe5c91861228

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

Documentation of statistics: Crises shelters

Contact info, Personal Finances and Welfare, Social Statistics , Silas Turner , +45 21 54 42 57 , STR@dst.dk , Get documentation of statistics as pdf, Crises shelters 2025 , Previous versions , Crises shelters 2024, Women's shelters 2023, Women's shelters 2022, Shelters for battered women 2021, Women's shelters 2020, Women's shelters 2019, Women's shelters 2018, Women's shelters 2017, The purpose of the statistics crisis shelters is to provide information about citizens and children brought along staying at crises shelters in accordance with section 109 in the Act on Social Services. The statistics were first compiled for 2017., Statistical presentation, These statistics are an annual calculation of the number of stays and the number of citizens and children enrolled in crisis shelters that is established and run in accordance with section 109 of the Act on Social Services. The statistics are grouped by municipality, origin, age and duration of the stay. Reporting to the statistics is mandatory by law., Read more about statistical presentation, Statistical processing, Data is received quarterly from the crisis shelters either with the help of a system-generated txt file or via a predefined spreadsheet. Upon receipt, the data sets are reviewed for formal errors, such as incorrect date formats. Next, the data goes through a validation process, after which the statistics are supplemented with background information about the citizens and any brought children from Statistics Denmark's population register., Read more about statistical processing, Relevance, Based on their data strategy for the social sector, the Ministry of Social Affairs and Housing has asked Statistics Denmark to collect data and publish statistics on stays and residents at Denmark's crisis shelters according to section 109 of the Act on Social Services. The statistics can be used to broaden the scope of the social field and is supposed to be of interest to anyone interested in social conditions and citizens in socially vulnerable positions.. In the summer of 2023, the crises shelters and other stakeholders have had the opportunity to provide feedback and input to the statistics., Read more about relevance, Accuracy and reliability, The statistics are a total count of citizens and children brought to crisis shelters. Some stays are reported anonymously for the citizen and/or children brought to shelters, which may result in missing background information. Therefore, it is not possible to determine whether citizens have been to shelters more than once. Some citizens and children are listed anonymously at one shelter and not anonymously at another. In addition, typing errors or missing dates may occur when manually entering stays. Overlapping stays may also have been reported. However, the majority of these errors are corrected before publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference period. , Read more about timeliness and punctuality, Comparability, In Sweden, Statistics Sweden and the National Agency for Social Affairs and Health compile national surveys on men's violence against women and violence in intimate relationships. Data is compiled from 2017. Up until the end of 2020, women on outpatient services were also included in the statistics., Read more about comparability, Accessibility and clarity, These statistics are published in [https://www.dst.dk/da/Statistik/nyheder-analyser-publ/nyt?psi=3359) In StatBank Denmark, these statistics can be found under the subject , Social conditions, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/crises-shelters

Documentation of statistics

Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCO_88_V1_1996 , Description: , DISCO-88 is a four-digit nomenclature, primarily compiled for statistical use. The nomenclature provides guidelines for a division of the Danish labour market into 372 subgroups, all of which contain a number of closely related occupational functions. Thus, the classification provides the opportunity to compare persons who actually perform the same type of work, but are not necessarily characterised by the same job title or educational background., DISCO-88 is the official Danish version of International Standard Classification of Occupations (ISCO), ](https://ilostat.ilo.org/methods/concepts-and-definitions/classification-occupation/), prepared by the International Labor Organization (ILO)., Valid from: , January 1, 1996 , Valid to: , December 31, 2009 , Office: , Arbejde og Indkomst , Contact: , Sam Blanch, , slb@dst.dk, , ph. +45 23 63 60 44 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010, January 1, 2010, Still valid, Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996, January 1, 1996, December 31, 2009

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco?id=5d292535-2f1f-4225-87e8-0b551d72cd2c

Documentation of statistics: Reusable assistive products

Contact info, Personal Finances and Welfare, Social Statistics , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Reusable assistive products 2025 , Previous versions , Reusable assistive products 2024, Lending of assistive products 2023, Reusable assistive products 2022, The purpose of the statistics Lending of assistive products is to shed light on the municipalities' lending of assistive products from the municipalities' aid depots. These are assistive products allocated according to selected sections in the Act of Social Service, the Working Environment Act and the Health Act. The statistics are used to account for how many people are given assistive products and for the type of product that is handed out. The statistics were published for the first time for 2023., Statistical presentation, The statistics of lending of assistive products is an annual inventory of assistive products that are allocated according to selected sections in the Act of Social Service, the Working Environment Act and the Health Act. The statistics contain information on how many assistive products have been handed out and the type of product. In addition, there is information on the number of people who have been given a assistive product. The statistics can be broken down by municipality, age and gender., Read more about statistical presentation, Statistical processing, Data for the statistics on assistive products are collected quarterly from the municipalities via automatic reports from the professional systems or via a web-based reporting solution. The collected data goes through an error-finding procedure, where the municipalities receive aggregated data, which they must approve. When the data has been validated by the municipalities and finally approved, Statistics Denmark processes the collected data and removes invalid data., Read more about statistical processing, Relevance, The statistics are relevant for ministries, researchers, nongovernmental organizations and municipalities and as a basis for analyzes of the development in the number of services provided and the recipients characteristics and living conditions., Read more about relevance, Accuracy and reliability, This publication for 2025 is based on data from 98 municipalities where 98 municipalities have approved all data concerning data on distribution and submission of assistive products. Precision and reliability are primarily affected by inadequate reports from the municipalities, especially concerning the legal section. Further more the assistive products that are reported might differ between municipalities and the municipalities might register the delivered assistive products differently. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 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 cover active assistive products covering the period from 1st of July 2022 onwards and were published for the first time for a whole year for 2023. Data are comparable from 2023 and onwards. Data cannot be directly compared with international statistics., Read more about comparability, Accessibility and clarity, These statistics are published once a year 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 , subject, . Researchers and other analysts from authorized research institutions can be granted access to the underlying microdata by contacting , Denmark's Data Portal, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reusable-assistive-products

Documentation of statistics

Documentation of statistics: Government Finance Statistics

Contact info, Government Finances, Economic Statistics , Martin Rune Rasmussen , +45 24 77 42 71 , MRA@dst.dk , Get documentation of statistics as pdf, Government Finance Statistics 2026 , Previous versions , Government Finance Statistics 2025, Government Finance Statistics 2024, Government Finance Statistics 2023, Government Finance Statistics 2022, Government Finance Statistics 2020, Government Finance Statistics 2019, Government Finance Statistics 2018, Government Finance Statistics 2017, Government Finance Statistics 2015, Government Finance Statistics 2014, Government Finance Statistics 2013, The purpose of the statistics 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 1971 and onward., General government statistics have undergone a benchmark revision since the last publication. In this benchmark revision, the statistics for public finances have been revised back to 1971. The benchmark revision is a pan-European project that is carried out every 5 years. The purpose of the revision is to incorporate new knowledge and new methods and to ensure uniform calculation methods for all countries., This main revision of the public finance statistics has had no notable effect on public consumption, while the net lending/borrowing for general government has improved to a lesser extent. , Statistical presentation, General government finances monitor current and capital expenditure/revenue for the general government on a yearly basis. The statistics is divided into subsectors., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public account 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, news media and Eurostat. The statistics provide input to national accounts statistics. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, Misclassification due to insufficient information about the contents of a given account can occur. In provisional accounts, the government's value added tax expenses are divided at the level of accounting items. Ii all versions in t+1 provisional tax-estimates are used. Subsidy accounts can be classified with some inaccuracy because it is not always possible to define the recipient of the subsidy. Reserves and budgets adjustments: This extra paragraph covers both earmarked and widely defined reserves. The widely defined reserves are often considerable amounts and are difficult to define. Whenever possible, Statistics Denmark collects supplementary information on these reserves. An estimation of tax revenue charged by General Government is used., Read more about accuracy and reliability, Timeliness and punctuality, The March version is published one week after the publication of the central government accounts. The June version is published three month after the publication of the central government accounts. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Accounts for general government are compiled using international principles, which implies a high degree of comparability over time and between other Danish national accounts statistics as well as international government finance statistics, Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under the subject , Expenses and revenues of general government, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-finance-statistics

Documentation of statistics

Documentation of statistics: Purchase of commodities and services in the construction industry (Discontinued)

Contact info, Short Term Statistics, Business Statistics , +45 23 45 47 32 , Get documentation of statistics as pdf, Purchase of Commodities and Services in the Construction Industry 2018 , Previous versions , Purchase of Commodities and Services in the Construction Industry 2017, Purchase of Commodities and Services in the Construction Industry 2016, Purchase of Commodities and Services in the Construction Industry 2015, Purchase of Commodities and Services in the Construction Industry 2014, Purchase of Commodities and Services in the Construction Industry 2012, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. It is used, among other things for the national accounts. The statistics has been made since 2006. In its present form figures are comparable from 2012 and onwards., Statistical presentation, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. The purchase of services are divided into 10 types of services and reported for 5 construction industries. The purchase of materials are divided into 44 material groups and reported for 5 construction industries. The statistic is based on a survey among construction companies., Read more about statistical presentation, Statistical processing, The reported data is scaled to the total population of companies with main activity in construction. The scaling compensate for bias in the sampling and reporting. No numbers are imputed. The reported numbers are controlled for errors. , Read more about statistical processing, Relevance, The statistic is used mainly by the national account for information on the linkages between construction and other sectors., Read more about relevance, Accuracy and reliability, It is estimated that the statistic has a reasonable quality at an aggregated level. At material-group level it is estimated that the quality is low. No quantitative measures of the total uncertainty of the statistic have been done. For the totals in purchase of materials and services the sample uncertainty is approximately 5 pct.. The statistic has a number of measuring errors. These are estimated as being a greater source of uncertainty than the sample uncertainty. the statistic is reliable in the sense that published numbers are rarely revised., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published yearly, ultimo April., Read more about timeliness and punctuality, Comparability, In the archive one can find statistics for the years 2006-2011 in the tables BYGT, BYGTX, BYGR and BYGRX. These statistics are not comparable to the new time series, since they are not scaled to the population. It is not possible to compare the data in the survey with other business surveys., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Purchase of commodities and services in construction, . For more information go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-commodities-and-services-in-the-construction-industry--discontinued-

Documentation of statistics

Documentation of statistics: Personal assets and Liabilities

Contact info, Labour Market, Social Statistics , Jarl Christian Quitzau , +45 23 42 35 03 , JAQ@dst.dk , Get documentation of statistics as pdf, Personal assets and Liabilities 2025 , Previous versions , Personal assets and Liabilities 2024, Personal assets and Liabilities 2023, Personal assets and Liabilities 2022, Personal assets and Liabilities 2021, Personal assets and Liabilities 2020, Personal assets and Liabilities 2019, Personal assets and Liabilities 2018, Personal assets and Liabilities 2017, Assets and Liabilities 2016, Assets and Liabilities 2015, Assets and Liabilities 2014, Documents associated with the documentation , 2022-Revision af formuestatistikken_vs1.1 (pdf) (in Danish only), Værdiansættelse af unoterede aktier og fordeling på personer i 2022 (pdf) (in Danish only), Estimering af aldersopsparing (pdf) (in Danish only), New data on individual pension wealth growth (pdf), Fordeling af unoterede aktier 2023 (pdf) (in Danish only), Beskrivelse af formueloftet 2023 (pdf) (in Danish only), Effekt af overgang til midlertidigt datagrundlag om ejendomme fra 2023 (pdf) (in Danish only), Fordeling af unoterede aktier 2024 (pdf) (in Danish only), Databrud i ejendomsformuerne, 2024 (pdf) (in Danish only), The purpose of the Wealth and Debt statistics is to provide insights into the wealth and debt of individuals, families, and various population groups. The statistics were first created in the aftermath of the financial crisis in collaboration with Danmarks Nationalbank (the Danish Central Bank) and were intended, among other things, to analyze families' resilience to economic shocks. Additionally, the statistics are used in analyses of the pension system and to measure economic inequality. The statistics have been produced since 2014., Statistical presentation, The statistics produces annual data on the value of value of real estate, cars, financial assets, pension wealth and debts. There are also separate and more detailed publications on pension wealth. The statistics are register based and are based on data at the individual level. It is linked to other registers in order to do subdivisions on age, gender, municipality etc., Read more about statistical presentation, Statistical processing, Data is collected from multiple sources and undergoes statistical processing, including debt classification and market value assumptions for assets such as homes, cars, and unlisted shares. Registers are compiled using anonymized identifiers. In pension statistics, bonuses and reserves are allocated proportionally to pension funds, and anonymized contract numbers enable time-series analysis, except in cases of mergers and acquisitions., Read more about statistical processing, Relevance, These statistics are relevant for researchers, ministries, Economic think tanks, pension funds and the media. It is used for forecasts on the pension system and, analyses on the level of wealth in different strata, the level of prosperity and the level of economic inequality. The statistical data and results are also used in other statistical areas within Statistics Denmark, e.g. in national accounting and as a supplement to the income statistics. Data on pension wealth are also used for the macro economic Model ADAM., Read more about relevance, Accuracy and reliability, The quality of the financial data is high since most of the data is validated by the tax authorities. There is much larger uncertainty on the imputed market value of owned property, cars, unquoted stocks and the value of lifetime pensions. Data on assets that can not be linked to persons is not included. Data Wealth held abroad by Danes is likely lacking as well. For discretionary reasons the register is top-coded with a maximum wealth of DKK 2.11 bio. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 12 months after the end of the reference year. Publications are released on time without delays, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Comparability over time varies depending on the wealth component. In the wealth and debt statistics, one must choose whether to use the 2020 series, which includes unlisted shares and debt subject to enforcement, or the 2014 series, which does not. In 2023–2025, there is a major data break due to the transition to new assessment systems, and the coverage of unlisted shares has gradually improved since they were included in the statistics from 2020. Apart from these breaks there is good consistency over time. Caution should be exercised when using the statistics for international comparisons., 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 , Wealth and liabilities, and , Pension assets, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/personal-assets-and-liabilities

Documentation of statistics

Documentation of statistics: Children and young persons placed outside own home

Contact info, Personal Finances and Welfare, Social Statistics , Bente Ottosen , +45 41 31 74 23 , BBO@dst.dk , Get documentation of statistics as pdf, Children and young persons placed outside own home 2025 , Previous versions , Children and young persons placed outside own home 2024, Children and young persons placed outside own home 2023, Children and young persons placed outside own home 2022, Children and young adults in out-of-home care 2021, Children and young persons placed outside own home 2020, Children and young persons placed outside own home 2019, Children and young persons placed outside own home 2018, The statistics shed light on the activities of municipal authorities regarding placements outside the home., The statistics are used to account for the scope of placements of children and young people outside their own homes. The statistics are comparable from 2011 onwards., Statistical presentation, Starting from the autumn 2025 release, the statistics will be published twice a year — as of 30 June and 31 December. The publication as of 30 June will include data on municipal placements and residential care, presented by the number of placed children and young people. The annual publication as of 31 December will include data on municipal placements and residential care, presented by both the number of placed children and young people and the number of initiated placements and residential care arrangements. The statistics are broken down by region/municipality, type of measure, type of placement, reason for placement, age, and sex., The statistics are published in the StatBank and in NYT from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are continually collected from the administrative municipalities. The collected data is then subjected to a meticulous validation process in cooperation with the municipalities. All of the municipalities receive feedback sheets, representing the scope and nature of the reported data, which need to be approved by the municipalities. Data is subsequently gathered in an incident register which forms the basis for a creation of a progress register and a status/stock register., Read more about statistical processing, Relevance, The statistics are used by municipalities, provinces, ministries, the media, researchers, private individuals and organizations. The statistics are used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Data is reported from the municipalities' administrative systems, which are used for case processing. There may be errors or omissions in the reports, or reports may be missing altogether. The municipalities approve an annual status prior to publication of the statistics. In this context, municipalities are requested to correct any errors and deficiencies., Changes in placements are generally underestimated because the changes are only indirectly approved by the municipalities based on the reported placement status., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 months after the end of the reference period. The statistics are published without delay according to the scheduled release date. , Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2011 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, , Nyt fra Danmarks Statistik, . The figures are also published in Statbank Denmark in , Disadvantaged children and young people, Further information can be found at the webpage of the statistics , Udsatte børn og unge, or by contacting Statistics Denmark directly., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/children-and-young-persons-placed-outside-own-home

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Market Research and Public Opinion Polling (Discontinued)

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Market Research and Public Opinion Polling 2023 , Previous versions , Business Services in the Sector for Market Research and Public Opinion Polling 2019, Business Services in the Sector for Market Research and Public Opinion Polling 2017, Business Services in the Sector for Market Research and Public Opinion Polling 2015, Business Services in the Sector for Market Research and Public Opinion Polling 2013, The purpose of the statistics Market research and public opinion polling is to provide information on turnover and types of services in enterprises with market research and public opinion polling as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2001. Prior to 2012 it was called Product Statistics for Market research and public opinion polling. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from a total count of enterprises in the sector Market Research and public opinion polling. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-market-research-and-public-opinion-polling--discontinued-

Documentation of statistics