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Analyses and publications

The analyses from Statistics Denmark highlight correlations across statistical subject areas.

https://www.dst.dk/en/Statistik/nyheder-analyser-publ

Publication: Danish Input-Output Tables and Analyses 2009

Danish Input-Output Tables and Analyses 2009

Publication

Analyses: Is the Danish working time short?

From a European perspective, the Danish working time is often described as short, and if the average hours worked by Danes in employment is compared to that of other EU countries, their working time is indeed short., However, many men and women participate in the labour market in Denmark, and taking this into account, is the Danes’ working time then actually short? This is the question that we examine in this analysis in which the Danes’ weekly working time is assessed by two different methods. In this context, we also look into groups in Denmark working more or less than the average of other European countries.,  , Major findings of the analysis: ,  , The Danish employment rate is relatively high, and Danish women have the third highest employment rate in the EU., If the working time is assessed in proportion to the number of persons in the population, the Danes’ average weekly working time is in the midrange and slightly above the EU average. The Danish working time per person in the population, however, is shorter than that of Sweden, Germany and Great Britain., The relatively short working time per person in employment is partly due to the fact that many students are working too. If students are disregarded, the Danish working time per person in employment is closer to, but still approximately one and a half hours shorter than the European countries included in the analysis., The working time per person in employment between 60 and 74 years is about the average of the European countries included in the analysis, whereas the working time per person in the population in this age group is somewhat above the average. This is because the employment rate among the 60-74-year-old Danes is relatively high., The working time for highly educated persons in Denmark is generally below the average for the European countries in the analysis, regardless if this is assessed per person in employment or per person in the population. The working time for persons with short and medium level education is marginally above the average when assessed in proportion to the number of persons in the population with short and medium level education., Get as pdf, Is the Danish working time short?, Colophone, Is the Danish working time short?, Subject group: Labour and income, Released: 6 March 2018 08:00, No. 2018:5, ISSN pdf: 2446-0354, Contact:

Analysis

Analyses: The Nordics during the first phases of COVID-19

This publication describes the Nordics during the first phases of COVID-19. The publication is the result of the Nordic Chief Statisticians' decision to publish a joint comparative analysis concerning the socioeconomic effects of COVID-19 in Denmark, Finland, Iceland, Norway, and Sweden., The report presents the development of key indicators from before the first incidence of COVID-19 in March 2020 until Q3 2021 – and in some cases Q4 2021. The objective is to compare how the five Nordic countries performed during what can be described as the first phases of the COVID-19 pandemic., Get as pdf, The Nordics during the first phases of COVID-19, Colophone, The Nordics during the first phases of COVID-19, Subject group: Labour and income, Released: 31 May 2022 09:00, No. 2022:6, ISSN pdf: 2446-0354, Contact:, Fenja Søndergaard Møller, Telephone: +45 23 62 62 99

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:, Fenja Søndergaard Møller, Telephone: +45 23 62 62 99

Analysis

Analyses: Production abroad has an effect on Danish GDP

Globalisation has created new business models. Although you can still find traditional manufacturing enterprises with factory production, development, sales and administration gathered within the Danish borders, it has become more common to spread across several countries. An increasing share of the Danish manufacturing enterprises produce their goods or some of their goods without factories in Denmark. In this way, the industrial processing does not take place in Denmark but in a factory abroa, Part of the value added from the processing in factories abroad is included in the Danish gross domestic product (GDP) because the factors of production of Danish enterprises – not least the intellectual capital – contribute to create the value of the foreign factories’ production. The intellectual capital of enterprises is based on research and development, and it is the basis for patents and other intellectual property rights that can be registered and traded. Tangible assets such as machinery and buildings are capital in the country in which they are located. Intangible assets are capital in the country in which their economic owner is registered. In this way, intangible assets are similar to aircraft or vessels, neither of which are geographically confined, but are included in the capital stock of the country in which the airline or shipping firm is registered. In this analysis, we discuss how using a foreign factory affects Danish production and value added., Main conclusions:, The production abroad of Danish manufacturing enterprises has grown considerably since it was first recorded in 2005. The increased production abroad of Danish enterprises has resulted in increased hourly productivity in manufacturing and reduced the employee com-pensation share of the value added in manufacturing., Gradually, the “factoryless” goods production of the manufacturing industry accounts for a higher share of Danish GDP than maritime transport. Factoryless production and maritime transport are characterised by their relatively small impact on Danish employment and a considerable Danish registered capital stock., Moving intangible capital and associated added value from one country to another can make GDP jump, as the Irish GDP did in 2015. This type of jump in GDP does not influ-ence gross national income (GNI) to the same extent, if the owner remains foreign. Be-cause, in the calculation of GNI, the net yield of intangible capital is transferred as factor earnings to the owner’s home country., Get as pdf, Production abroad has an effect on Danish GDP, Colophone, Production abroad has an effect on Danish GDP, Subject group: Economy, Released: 7 June 2019 08:00, No. 2019:8, ISSN pdf: 2446-0354, Contact:

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:, Fenja Søndergaard Møller, Telephone: +45 23 62 62 99 , Emilie Rune Hegelund, Telephone: +45 20 56 47 11

Analysis

Statistics on Tourism

https://www.visitdenmark.dk/da/analyse/tal-og-analyser-om-turismen-i-danmark

https://www.dst.dk/en/TilSalg/produkter/erhvervsliv-og-handel/turismestatistik

Social heritage

The Rockwool Foundation Research Unit makes analyses of social heritage.

https://www.dst.dk/en/informationsservice/oss/social-arv

Documentation of statistics: Farm Structure Survey

The survey is published here: Online, http://www.Statbank.dk, New from Statistics Denmark, Statistical ten years review, and in the analyses of Statistics Denmark, see this analyse on [Analyse]https://www.dst.dk/da/Statistik/Analyser/visanalyse?

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/farm-structure-survey

Documentation of statistics