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Publication: ICT usage in households and by individuals - EU benchmark 2016

This publication describes Europeans’ use of ICT in a broad perspective based on responses from a representative sample of citizens in Denmark and other EU Member States in 2016. Data was collected using a harmonised questionnaire that enables comparisons across countries., The survey describes the use of internet in general, including access to internet, use of e-commerce, social media, use of internet banking as well as online self-service. Various questions on ICT security and protection of personal infor­mation are dealt with in the last section of the publication., The statistics confirm the conclusion reached in other studies; Denmark is still among the EU front-runners in terms of ICT usage by citizens. This applies to e.g. online self-service, online shopping, use of internet banking and social net­working services., Highlights from this year’s survey:, Danes often , shop , on the , internet , At 83 per cent, the United Kingdom has the largest percentage of people who shop online, closely followed by Denmark in second place at 82 per cent. Online shopping in the EU is generally more common among men. The situation in Denmark is opposite. Danish women have overtaken men in shopping online., Danes best in the EU, at online self-service, Denmark leads the EU with regard to online self-service. A total of 88 per cent of Danes have visited public-authority websites, against the European average of 48 per cent for EU citizens. The percentage of Danes who submit completed forms to public authorities has doubled since 2008., 53m Europeans have never been online, 14 per cent of Europeans aged 16-74 are not online. This corresponds to around 53 million people.71 per cent of EU citizens are on the internet daily. The figure is 89 per cent in Denmark. Denmark is one of the countries with the lowest share of people who are never on the internet (2 per cent)., This publication is based on information in the survey of ICT usage in households and by individuals 2016. The survey is based on a common EU questionnaire (ICT usage by individuals and in households 2016)., Get as pdf, ICT usage in households and by individuals - EU benchmark report 2016, Colophone, ICT usage in households and by individuals - EU benchmark , Culture and leisure, ISBN pdf: 978-87-501-2258-6, Released: 1 June 2017 09:00, No of pages: 43, Contact info:, Agnes Tassy, Phone: +45 24 81 48 78

Publication

Publication: Agriculture and Danish farm returns through 100 years 1916-2015

Since the first farm returns were reported for statistical purposes for the , financial year 1916-17, , Danish agriculture has lived through quite a few things., In the first year of the statistics, World War I implied that the countries at war experienced increased demand for e.g. food. As a result, Denmark, which did not participate in the war, was able to sell agricultural products at high prices. By contrast, it was difficult to export in the years of recession in the 1930s and it was necessary to implement emergency farm aid, e.g. in order to reduce high levels of debt.,      2. World War II boosted the technological development and, in the post-war years, horses were ,      increasingly replaced by engine power., When Denmark became a member of the EEC in 1973, new demands were made on the agricultural accounts in the statistics, which were to conform to the same method as that of the other member countries. With the book , Agriculture and Danish farm returns through 100 years,, Statistics Denmark gives the reader an insight into Danish agriculture and its development, in particular in the 20th century., The publication includes e.g.:, Mechanisation and specialisation of the agricultural sector, which has experienced soaring productivity., Accounting figures for 100 years, which show e.g. the development in gross output, operating costs, economic indicators, capital and debts., The preparation of the statistics has undergone method changes, increased the level of detail and, as a result, it has become more applicable in research., Moreover, the table, JORD100, has been added to Statbank.dk to mark the centennial year for the agricultural accounts., Here you can extract accounting figures for agriculture back to 1916 and up to 2015, , which is the last stated year with accounts statistics for agriculture, (only in Danish).,  , Get as pdf, Agriculture and Danish farm returns through 100 years, Colophone, Agriculture and Danish farm returns through 100 years, Business, ISBN pdf: 978-87-501-2279-1, Released: 28 September 2017 09:00, No of pages: 59, Contact info:, Henrik Bolding Pedersen, Phone: +45 20 57 88 87

Publication

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: 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

STRFUDD2: Persons guilty in crimes aged 15-79 years

type of offence, education and time
2015-2023 (Number)

https://www.statbank.dk/STRFUDD2

Tables in StatBank

StatBank API

With Statistics Denmark's API, you can use our StatBank's open data directly in various own applications.

https://www.dst.dk/en/Statistik/hjaelp-til-statistikbanken/api

Documentation of statistics: Climate footprint (experimental statistics)

Contact info, National Accounts, Climate and Environment , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2021 , Previous versions, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and emissions, in the tables AFTRYK1 and AFTRYK2., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

Documentation of statistics

Documentation of statistics: Deaths and life expectancy (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Deaths and life expectancy 2016 , Previous versions, Deaths and life expectancy 2015, Deaths and life expectancy 2013, These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people, who have died abroad., The statistics of the dead include in the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the expected average life expectancy of a newborn, based on mortality for the last two or five years period, e.g. 2016-2017., Statistical presentation, These statistics contains information on number of deaths by sex, age and municipality of residence., These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people who have died abroad., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from Statens Serum Institut (SSI) are basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, Municipalities, regions, ministries, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., For approximately 5 per cent of the deaths the cause of death is missing. These people have often died abroad., The statistics of death include the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the average number of years a newborn is expected to live on the condition that current age-related death rates remain constant in the future. Life expectancy should therefore only be seen as an indicator of the current mortality of the population - not a prediction of how long newborns will live in practice because age-specific mortality generally decreases over time. The average life expectancy by municipality may however be subject to uncertainty - especially for the small municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning deaths is published app. 45 days after the end of the year., Information concerning the causes of deaths however are quite delayed and are disseminated irregularly., Read more about timeliness and punctuality, Comparability, The statistics is comparable over time., The codes for causes of death have been altered. Until 1993 ICD8 (International Classification of Causes of Death 8th Rev) have been applied. This implies that causes of death before and after 1994 can’t necessarily be compared. However, there have been produced comparable statistics at certain levels., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the Statbank., Yearly publications: , Vital statistics, , , Statistical Yearbook, and , Statistical ten-year review, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/deaths-and-life-expectancy--discontinued-

Documentation of statistics

Documentation of statistics: Development in Rents (housing)

Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent., Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 (only approx. 85,000 for 1. quarter 2022) rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

Documentation of statistics

Documentation of statistics: Corporate Taxation

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2023 , Previous versions, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, The statistics are published annually in a Danish press release. In the StatBank the figures are published under , Corporation taxation, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

Documentation of statistics