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    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

    Documentation of statistics: High Growth Enterprises

    Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2023 , Previous versions, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

    Documentation of statistics

    Documentation of statistics: Oil and natural gas in the North Sea

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Oil and natural gas in the North Sea 2023 , Previous versions, Oil and natural gas in the North Sea 2022, Oil and natural gas in the North Sea 2021, Oil and natural gas in the North Sea 2020, Oil and natural gas in the North Sea 2019, Oil and natural gas in the North Sea 2016, The purpose of this natural resource account is to analyze stocks and stock changes in oil and natural gas in the North Sea. The statistics is measured in both physical and monetary units. The time series are comparable from 1990 onwards., Statistical presentation, The physical asset account and the monetary asset account for oil and gas in the North Sea is an annual statistics showing the reserves of oil and natural gas in the North Sea, which may be recovered under the given economic conditions and with known technology measured in cubic meters (m3). Both statistics show the reserves of oil and natural gas at the beginning of the year and the changes in the reserves during the year., Read more about statistical presentation, Statistical processing, Data for this statistic is provided annually by the Danish Energy Agency. Additional information is taken from the Energy Agency's publication on the oil and gas production. The collected data have undergone validation in the Energy Agency. The validation done by Statistics Denmark during the compilation of the natural resource accounts deals solely with ensuring consistency between the opening and closing stocks., Read more about statistical processing, Relevance, The statistics is used for analysis and forecasting by ministries, industry associations, research institutions and consultants and other who want an overview of the relationships between the economy and the environment., Read more about relevance, Accuracy and reliability, Based on the known knowledge and expectations about economic and technological aspects, the natural asset accounts provide an estimate of the size of the reserves of oil and natural gas in the North Sea. The Energy Agency changes the estimate of the reserves as the reserves are extracted and when new discoveries are made. Moreover, development of new extraction technology lead to revisions of estimates. The reserves are not a static physical quantity., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published without delay compared to the planned release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 1990 onwards. The statistics follow international standards and are thus comparable with similar statistics from other countries prepared in accordance with applicable international standards., Read more about comparability, Accessibility and clarity, The data for the oil and natural gas in the North Sea is published in the Statbank in the tables , OlieRg, and , GasRg, . See more on statistics , topic page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/oil-and-natural-gas-in-the-north-sea

    Documentation of statistics

    Documentation of statistics: Waste Accounts

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2022 , Previous versions, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), Waste accounts record how much waste is generated in different parts of the economy, what kind of waste it is and how it is treated. Imports and exports of waste are also covered. The waste accounts build on data from the Danish Environmental Protection Agency and were published for the first time in 2015. Municipal waste by municipality, treatment form and waste type is compiled in 2023., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., The statistics is part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. The distribution of waste according to categories also has a good quality, even if it is most reliable at the aggregated level. At more detailed level, the precision is less due to measurement errors (in the reporting)., The detailed distribution according to industry groups is less precise. This stems from errors in the source data (measurement errors from the reporting) as well as from the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups. This stems from the data source, and can be linked to waste from one municipality being treated at a facility in a different municipality, waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, Publication of the waste accounts was on time, 21 months after the end of the reference period. The long production time is due to the dependence on data from the Environmental Agency., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/waste-accounts

    Documentation of statistics

    Documentation of statistics: Shelters

    Contact info, Personal Finances and Welfare, Social Statistics , Chris Cornelia Friis Christiansen , +45 23 13 05 91 , CCC@dst.dk , Get documentation of statistics as pdf, Shelters 2024 , Previous versions, Shelters 2023, Shelters 2022, Shelters 2021, Shelters 2020, Shelters 2019, Shelters 2018, Shelters 2017, Shelters 2015, The purpose of the statistics Shelters is to provide information about the users of the types of accommodation as prescribed by section 110 of the Social Services Act, which includes reception centers etc. The statistics were originally established by the National Board of Social Appeals in 1999. Until July 1st 2016, the Appeals Board managed the statistics, after which it was transferred to Statistics Denmark. , Statistical presentation, The statistics provides an annual statement on number of nights and number of persons who have spent the night on an accommodation established in accordance with section 110 of the Service Act. The statistics are distributed by age, sex, number of nights and number of stays., Read more about statistical presentation, Statistical processing, The received data are reviewed for obvious errors, such as date format and incorrect time periods. The received data are processed with the aim to gather data into one dataset. When all datasets are combined, duplicates, missing departure dates, etc. are validated. Data are linked to the population register in Statistics Denmark for further information about the users., Read more about statistical processing, Relevance, The statistic is relevant for authorities, analysts and scientists, who wants knowledge about the demand and capacity of shelters. , Read more about relevance, Accuracy and reliability, Submitting data is required by law. The number of persons who use a type of accommodation as prescribed by section 110 of the Social Services during the year is measured fairly accurately. In some cases, completion is lacking in categories such as where the citizen is referred from, how the discharge has been taken place and where the user has been discharged to. In these cases, "unknown" is used in regard to the validation. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approx. 6 months after the end of the reference period. The statistics for 2024 has been published without delay in relation to the planned time of publication., Read more about timeliness and punctuality, Comparability, The Statistics has been maintained since 1999, but is comparable in its current form since 2021. Because of a data breach in 2021, data before and after 2021 should be compared with reservations. Men who have a stay at a crisis center by section 109 will no longer be included in the statistic by July 1, 2024. They will be included in the section 109 statistics. In addition, there has been removed and included new variables, why data breach will occur in these informations. , 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 , Shelters and care homes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Classification of education (DISCED-15), completed educations, v1:2025

    Name: , DISCED15_AUDD_HOVED_V1_2025 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2025 , Office: , Population and Education , 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 (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd