Search result

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Economy, National accounts, Employment and Compensation of Employees in National Accounts, Fixed Capital Stock, Gross Fixed Capital Formation in Housing and Type of Repair (Discontinued), Income and consumption distribution in the household sector (experimental statistics), Input-Output Tables, Multiplier Tables, National Accounts, Financial Accounts, National Accounts: Annual, National Accounts: Household Consumption Expenditure, National Accounts: Institutional Sectors, National Accounts: Quarterly, Productivity, Quarterly national accounts (Discontinued), Regional Accounts, General government economy, Budgets and accounts of municipalities and regions, Budgets of General Government, Cereal Prices used for Regulation of Land Rents, Corporate Taxation, Educational expenditure (UOE Finance), Financial accounts for general government, Financial assets and liabilities of local government, Financial Assets and Liabilities of Local Government (Discontinued), Government budget allocations for research and development, Government deficit and debt in the EU-countries, Government Finance , Quarterly Accounts (Discontinued), Government Finance Statistics, Health care expenditures (SHA), Key Figures for Municipalities Accounts, Local Government Personal Income Taxation and Church Tax, Municipality Accounts (Discontinued), Municipality and Region accounts (Discontinued), Municipality and Region Budgets (Discontinued), Municipality Budgets (Discontinued), National Accounts: Annual, Overdue Tax (Discontinued), Personal income taxes, Public arrears, Real property taxes, Social protection expenditure, Taxes and Duties (Discontinued), The Budgeted Use of Manpower in Municipalities (Discontinued), The Public Sector Finances, Balance of payments and international trade, Balance of Payments, External Trade of Organic Products, International Trade in Goods, International Trade in Goods by Enterprise Characteristics, International Trade in Services, International Trade in Services by Enterprise Characteristics, Price index, Consumer Price Index, Development in Rents (housing), Harmonized Index of Consumer Prices (HICP), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Net Price Index, Producer and Import Price Index for Commodities, Producer Price Index for Services, Purchasing Power Parities (PPP), Consumption, Consumer Expectations Survey, Farm Structure Survey, Home Appliances (Discontinued), Household Budget Survey, Human Consumption of Food (Discontinued), Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued), Property, Announcements of forced sales of real property, Rent indices for commercial real estate (Experimental statistics), Rent indices for housing, Sales of housing cooperatives, Sales of real property, Financial markets, Banks and mortgage-credit institutions, Interest and Share Price Indices, Profit and Loss Accounts of Danmarks Nationalbank

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=3

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , 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 (DDU), completed educations, v1:2023, December 1, 2023, Still valid

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

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , 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 (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

Documentation of statistics: Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2016 , Previous versions, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2015, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2014, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2013, These statistics are meant to provide easy, simple access to basic facts on the reception of electronic media in Denmark. For example, they show how many households receive TV via cable, satellite dish or aerial, and the proportion with special reception appliances. , Statistical presentation, Distribution shows statistics for different types of media appliances within the population. , Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing, Read more about statistical processing, Relevance, The user satisfaction is not examined. These statistics are used by ministries, students and the press., Read more about relevance, Accuracy and reliability, Overall reliability is basically satisfactory. Several equipment statistics tables are based on sources which cover 95-100 pct. of the population. These are the tables based on figures from the Danish energy Agency. Please refer directly to the source for further details concerning overall reliability., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published without delay in relation to the notified date., Read more about timeliness and punctuality, Comparability, As the media industry undergoes rapid development, changes can sometimes occur which affect comparability over time. More modern media appliances are included in the statistics, whilst others are withdrawn. Rapid developments can also take place in internet media, e.g. speeds and connection types. , Read more about comparability, Accessibility and clarity, There are no press releases in connection with this statistic., There are statBank tabels with figures, StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/radio-and-tv-statistics--equipment-statistics--appliances-and-distribution--discontinued-

Documentation of statistics

Documentation of statistics: Disadvantaged children and young people (Discontinued)

Contact info, Welfare and Health, Social Statistics , Annesofie Thorup Olesen , AFT , aft@dst.dk , Get documentation of statistics as pdf, Disadvantaged children and young people 2018 , Previous versions, The purpose of the statistic on disadvantaged children and young people is to describe relief measures and social well-being of children and young people, who receive assistance according to the current legislation regarding special support to children and young people. The statistics have been compiled since April 1976 , but is in its current form comparable from 2007 and onwards., Statistical presentation, The statistics of disadvantaged children and young people are an annual measurement of number of preventive measures measures, public expenditure in millions DKK to disadvantaged children and young people, disadvantaged children and adolescents in per cent. of the population (0-22 years), as well as exposed children and young people's education, social well-being and abuse and crime. The statistics are grouped by age and gender, preventive measure and geographically in municipalities., Read more about statistical presentation, Statistical processing, Data for these statistics are collected from the 98 municipalities and from the National Board of Appeal etc. Data is gathered in a register containing all persons who at some point during their first 23 years of living, have received support under the laws of the Service Act. The reported information is validated and supplemented with data from Statistics Denmark's population, crime and education statistics., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, the media, researchers and private individuals. The statistics used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Differences in systems in municipalities, however, means that municipalities do not record data in a consistent manner. So what's in one municipality are booked on a paragraph - may in another municipality be registered under a different paragraph that is not reported. It is not possible to estimate how big this problem are., Read more about accuracy and reliability, Timeliness and punctuality, The statistics shall be published no later than 1 September of the following calendar year., Read more about timeliness and punctuality, Comparability, The statistics have been published since 1977, but due to large changes in legislation in 1985, 1993 and 2006 statistics are not directly comparable throughout the years., 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 , Disadvantaged children and young people, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/disadvantaged-children-and-young-people--discontinued-

Documentation of statistics

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

Publication: International Sourcing - Moving Business Functions Abroad

Publikationen tegner et billede af outsourcing i Danmark, Sverige, Norge, Finland og Holland fra 2001 til 2006., Hvad er outsourcing?, Outsourcing er hel eller delvis udflytning af forretningsaktiviteter (kerne- eller hjælpefunktioner), der i udgangspunktet udføres internt i virksomheden. , Outsourcing kan foregå til selskaber inden for samme koncern eller til andre (eksterne) virksomheder, der kan være lokaliseret i Danmark eller i udlandet., Hver femte danske virksomhed outsourcer til udlandet, Det fremgår af publikationen, at Danmark er i front med outsourcing til udlandet. , 19 pct. af de danske virksomheder med 50 ansatte eller derover har outsourcet til udlandet i perioden 2001-2006. Det tilsvarende tal for finske virksomheder er 16 pct., norske 14 pct., hollandske 14 pct. og svenske virksomheder 4 pct., Publikationen kommer ind på bl.a.:, motiverende faktorer for sourcing, barrierer for sourcing, destinationer for outsourcing, tab af job, kernefunktioner (produktion mv.), støttefunktioner (it, forskning og udvikling mv.), forventninger til fremtidig international sourcing., Læs konklusioner fra publikationen i , Nyt fra Danmarks Statistik, ., International undersøgelse, Den danske del af undersøgelsen er baseret på en spørgeskemaundersøgelse blandt virksomheder, der repræsenterer næsten 60 pct. af den samlede beskæftigelse i de private byerhverv., Undersøgelsen indgår i et større projekt i Økonomi- og Erhvervsministeriet om danske virksomheders outsourcing. , Undersøgelsen er samtidig en del af en fælles europæisk undersøgelse, der er medfinansieret af Eurostat og gennemført af 14 nationale statistikkontorer., Danmarks Statistik har koordineret dels selve EU-undersøgelsen og dels den fælles publikation med de statistiske kontorer i Finland, Holland, Norge og Sverige., Få flere oplysninger om undersøgelsen på , www.dst.dk/globalisering, ., Get as pdf, Hele publikationen, Colophone, International Sourcing - Moving Business Functions Abroad, Business, ISBN: 978-87-501-1695-0, Released: 10 June 2008 09:30, No of pages: 89, Contact info:, Peter Bøegh, Phone: +45 41 10 31 41

Publication

Publication: Danish GDP and GNI, Sources and methods 2012

The publication describes in detail the sources and methods used for the compilation of gross domestic product, GDP, and gross national income, GNI. It replaces the previous documentation “Danish National Accounts – Sources and Methods 2003” from 2007. With the new documentation the description of sources and methods is brought up to date and reflects the current compilation methods, international guidelines (ESA2010) and classifications. The publication follows a common structure used by all EU member states and is available in English only., The documentation uses 2012 as a reference year, but the descriptions relate to the sources and methods generally used in the compilation of final GDP., Final GDP is compiled at the most detailed level using all available relevant sources for describing the economic activity within the national accounts framework. Examples are account statistics for private enterprises, government finance statistics, household budget survey and foreign trade statistics. In order to fit all this information into one figure – GDP – an extensive amount of adjustment must be made. Also, confronting data at the detailed level reveals inconsistencies in the sources that must be overcome. In the Danish national accounts this confrontation of data takes place in the Supply-use tables which contains 2 350 products and 117 industries., As a supplement to the description in the publication, the process from primary statistics to final GDP is also presented in a schematic form – the so-called , process tables, ., Get as pdf, Danish GDP and GNI, Sources and methods - 2012, Title, colophone, preface and content, Chapt. 1 Overview of the system of assounts, Chapt. 2 The revisions policy and the timetable for revising and finalizing the estimates, Chapt. 3 The production approach, Chapt. 4 The Income Approach, Chapt. 5 The expenditure approach, Chapt. 6 The balancing or integration procedure and validating the estimates, Chapt. 7 Overview of the allowance for exhaustiveness, Chapt. 8 The transition from GDP to GNI, Chapt. 9 Main classifications used, Chapt. 10 Main data sources used, Annex, Colophone, Danish GDP and GNI, Sources and methods, Economy, ISBN pdf: 987-87-501-2229-6, Released: 15 August 2016 09:00, No of pages: 287, Contact info:, Annette Thomsen, Phone: +45 22 16 62 51

Publication