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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: Family benefits and child supplements

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Family benefits and child supplements 2025 , Previous versions, Family benefits and child supplements 2024, Family benefits and child supplements 2023, Family benefits and child supplements 2022, Family benefits and child supplements 2021, Family benefits and child supplements 2020, Family benefits and child supplements 2019, Family benefits and child supplements 2018, Family benefits and child supplements 2017, Family benefits and child supplements 2016, Family benefits and child supplements 2015, Family benefits and child supplements 2014, Family benefits and child supplements 2013, The purpose of the statistics about family benefits and child supplements is to illustrate the number of recipients of family benefits and child supplements plus the payments and the number of children they receive payments for. The statistics of family benefits has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and child supplements and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family benefits and child supplements at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of family benefits and child supplements, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank under the subject , Family benefits and child supplements, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/family-benefits-and-child-supplements

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

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

Analyses: How big are Danish exports and who are our main trading partners?

In recent decades it has become more common to produce goods across national borders. Increasing globalisation challenges our understanding of what a country's exports encompass and what different statistical measures of exports show., Previously, different export statistics provided a fairly similar picture of Denmark’s exports and trading partners. However, an increasing proportion of Danish exported goods never crosses Danish borders, and that has resulted in increasing differences across the various export statistics. This analysis describes Danish exports and trading partners, based on the different export statistics., Main conclusions:, Danish exports in goods are largest when measured in Denmark’s balance of payments, where the sale of goods that have never crossed Danish borders are included as exports. Today, around a sixth of the total Danish export of goods takes place outside of Danish borders., Only goods which have crossed the Danish border are classified as exports in the international trade in goods statistics which implies that the export of goods appears lower here than in the balance of payments., Exports appear lowest when measured by Danish value added, as these calculations discount the value of the imports included in the production of the exported goods and services. Estimates from an Input-Output model in Statistics Denmark suggest that imported contents in exported goods and services constitute nearly half of the total value. , Regardless of the type of export statistics, Germany is Denmark’s most important export market., On the basis of goods which cross the Danish border, the US is Denmark’s sixth largest export market. When goods sold outside Denmark’s border are taken into account, the US is Denmark’s third largest export market., Looking at the final markets for the part of exports resulting from production in Denmark the US is the second largest export market as measured by Danish value added according to estimates in an OECD international Input-Output model., Get as pdf, How big are Danish exports and who are our main trading partners?, Colophone, How big are Danish exports and who are our main trading partners?, Subject group: Economy, Released: 5 March 2018 08:00, No. 2018:4, ISSN pdf: 2446-0354, Contact:, Mads Møller Liedig, Telephone: +45 40 12 97 72

Analysis

Analyses: The global organisation of industrial groups has an impact on the measurement of Danish production and income

The way in which Danish enterprises choose to organise their production and sales in the global economy impacts whether it is reflected as domestic production and value added (GDP) or only as income (GNI) in the national accounts. When Danish enterprises sell products abroad, the activities are included in Danish GDP, whereas income based on sales via subsidiaries abroad is only included in GNI. In this way, the choice of sales channel impacts the statistics on Danish production and income., This analysis describes the global set-up of Danish industrial groups and their impact on the Danish economy. Focus is on the close correlation between Danish exports and in-come from subsidiaries abroad. The analysis is an extension of a Statistics Denmark analysis from 2016 dealing with goods exports outside Denmark by Danish manufactu¬ring enterprises. Income data from the central bank of Denmark, Nationalbanken, has allowed us to further document the importance of the industrial groups to the Danish economy., Main conclusions:, The industrial groups are important to the Danish economy; they export goods and services produced in Denmark or abroad and receive income from subsidiaries abroad. , In 2016, Danish industrial groups’ sale abroad of goods not crossing the Danish border accounted for almost a third of their total sale of goods abroad of DKK 524 billion., The income from subsidiaries of DKK 42.1 billion accounts for approximately one third of total earnings from Danish industrial groups’ manufacturing activities abroad. These ear-nings could have been counted as exports had the group chosen a different role for the production taking place in subsidiaries abroad., In 2016, the industrial groups’ activities abroad accounted for approximately 6 per cent of the Danish gross national income (GNI) and approximately 4 per cent of the gross domestic product (GDP).,  , This is a translation of an analysis previously published in Danish 1 October 2018. See the analysis , here., Get as pdf, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Colophone, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Subject group: Economy, Released: 27 May 2019 08:00, No. 2019:7, ISSN pdf: 2446-0354, Contact:, Mads Møller Liedig, Telephone: +45 40 12 97 72

Analysis

Analyses: Large language models and the Danish labour market

Generative artificial intelligence (AI) tools such as large language models are spreading rapidly. The most prominent example is ChatGPT, which gathered more than 100 million active users within two months. This type of generative AI has the potential to change the way people work, creating opportunities for innovation and productivity gains. However, the opportunities and challenges will most likely be unequally distributed across the workforce., This analysis explores the unequal economic impact of large language models (LLMs) on the Danish Labour Market. The analysis uses the so-called AI Occupational Exposure (AIOE) scores from a study of the American labour market and merges these scores with administrative data from Statistics Denmark. The AIOE scores reflect the relatedness between AI applications and human abilities connected to different occupations. Thus, the scores express potential economic impact of AI applications across occupations through either labour-augmenting or labour-displacing effects., Main conclusions:, Occupations dominated by cognitive routine tasks have the highest potential to change through large language models. , Legal Professionals, is the occupation with the highest LLM score. The occupation with the lowest score is , Painters, building structure cleaners & related trades worker, ., Economic activities influenced by cognitive abilities have higher LLM scores than activities dominated by physical tasks. The activity with the highest LLM score is , Higher Education, . The activity with the lowest score is , Building completion and finishing, ., Employed females altogether have more potential to apply large language models than employed males. However, within , Human Health & Social Work activities, women have a slightly lower LLM score than males., Employees with high personal yearly income generally have more potential to use and take advantage of large language models than employees with lower income.,  , The analysis is available in Danish here: , Store sprogmodeller og det danske arbejdsmarked,   , Get as pdf, Large language models and the Danish labour market, Colophone, Large language models and the Danish labour market, Subject group: Labour and income, Released: 8 February 2024 08:00, No. 2024:2, ISSN pdf: 2446-0354, Contact:

Analysis

IFS1: Investment survey in Services

industry (DB25), type of investment, assessment and time
2021-2026 (Per cent)

https://www.statbank.dk/IFS1

Tables in StatBank

Analyses: Who uses weight loss medicines in Denmark?

In 2023, 117,500 adults redeemed a prescription for a weight loss medicine. This corresponds to 2.4 per cent of the adult population. Weight loss medicines are mainly targeted at people with a BMI of at least 30, but what else characterises the users?, This analysis takes a closer look at the users of weight loss medicines, with a special focus on users in the first half of 2023. In the analysis, data on redeemed prescriptions is combined with information from Statistics Denmark’s registers. This allows, among other things, to examine the users’ sex, age, income, and municipality of residence.,  , Main conclusions:, The number and proportion of adults who have redeemed at least one prescription for weight loss medicines has increased significantly from 15,200 (0.3 per cent) in 2021 to 27,800 (0.6 per cent) in 2022 and 117,500 (2.4 per cent) in 2023. However, the number is still lower than 25 years ago when 131,100 adults (3.1 per cent) used weight loss medicines., The proportion of users of weight loss medicines is higher for women in all years. In the first half of 2023, 72 per cent of the users were women and 28 per cent were men., The proportion of users was highest in the age group of 50-59-year-olds (3.2 per cent) and lowest in the age group of 80-year-olds and older (0.1 per cent)., The proportion of users of weight loss medicines increases with income. In the first half of 2023, 1.6 per cent of the people in the lowest income quintile used weight loss med-icines, while it was about 3.4 per cent of the people in the highest income quintile - when using the equivalised disposable family income among the 30-59-year-olds., There is a difference in the proportion of users of weight loss medicines across municipalities. The highest proportion of users was in Tårnby (2.9 per cent), while the lowest proportion was in Læsø (0.8 per cent)., Gentofte municipality had the highest proportion of users of weight loss medicines in the first part of 2023 when the proportion is related to people with self-reported obesity in 2021. In Gentofte, there were 24.5 users of weight loss medicines per 100 people liv-ing with obesity, while in Læsø, there were 2.9 users per 100 people living with obesity.,  , The analysis is available in Danish here: , Hvem bruger slankelægemidler?, Get as pdf, Who uses weight loss medicines in Denmark?, Colophone, Who uses weight loss medicines in Denmark?, Subject group: People, Released: 6 May 2024 08:00, No. 2024:3, ISSN pdf: 2446-0354, Contact:, Emilie Rune Hegelund, Telephone: +45 20 56 47 11

Analysis