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Publication: Danish Input-Output Tables and Analyses 2009

Danish Input-Output Tables and Analyses 2009

Publication

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:

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

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

Analyses and publications

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

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

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

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

Documentation of statistics

Find statistics

Get an overview of analyses and publications from Statistics Denmark.

https://www.dst.dk/en/Statistik

Press

Get an overview of analyses and publications from Statistics Denmark.

https://www.dst.dk/en/presse

Labour Force Survey (LFS)

Tailor-made analyses

https://www.dst.dk/en/Statistik/dokumentation/metode/aku-arbejdskraftundersoegelsen