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Publication: Key Figures on Information Society Denmark 2004

Key Figures on Information Society Denmark 2004, er den engelske oversættelse af , Nøgletal om informationssamfundet Danmark 2004, ., Der er tale om en overskuelige håndbog, som Danmarks Statistik udsender i samarbejde med Videnskabsministeriet. Nogle facts fra bogen, der udkom på dansk i april: , Danske og finske virksomheder ligger i den europæiske top mht. internetadgang. , Mere end hver tiende nyetablerede virksomhed i Danmark er en it-virksomhed. , Hver anden myndighed havde store problemer med at frigøre ressourcer til it-udvikling. , Der er over 700.000 højhastighedsforbindelser til internettet i Danmark. , 78.000 personer i Danmark har en formel it-uddannelse., Danskerne bruger it i alle sammenhænge, og det er den danske regerings strategi at gøre Danmark til et af verdens førende højteknologiske lande. , Nøgletal om informationssamfundet Danmark 2004, har dannet grundlag for videnskabsminister Helge Sanders it- og telepolitiske redegørelse til Folketinget i foråret 2004., Mere information, Kontakt Martin Lundø på tlf. 39 17 38 73 eller , mlu@dst.dk, . , Get as pdf, Entire publication, Colophone, Key Figures on Information Society Denmark, Culture and leisure, ISBN: 87-501-1404-2, Released: 23 June 2004 09:30, No of pages: , Contact info:, Agnes Tassy, Phone: +45 24 81 48 78

Publication

Enterprise finance and accounts

It indicates what share of the company's assets has been financed by the owner.

https://www.dst.dk/en/Statistik/emner/erhvervsliv/erhvervslivets-oekonomi/virksomheders-oekonomi-og-regnskaber

Subject page

PSKAT3: Taxpayers

type of tax and time
1994-2023 (1,000 people)

https://www.statbank.dk/PSKAT3

Tables in StatBank

REGR31: Regions accounts

county council district, main account, dranst, kind, price unit and time
2007-2024 (DKK 1,000)

https://www.statbank.dk/REGR31

Tables in StatBank

LABY14: Negative net wealth (share of the population)

municipality groups, age and time
2014-2023 (Per cent)

https://www.statbank.dk/LABY14

Tables in StatBank

Hosted server

A hosted server solution gives your institution the possibility of having your own server located at Statistics Denmark. In this way, you have the full server capacity at your disposal and leave the operational service to Statistics Denmark., Read about prices, terms and requirements to IT equipment for hosted servers (pdf, in Danish), Which operating system is included?, A hosted server gives you the chance to use operating systems, such as:, Microsoft Windows Server 2022 (or as arranged, another version) incl. licenses for both Windows Server and RDS CALs, licensed ”per user” or per device., Linux Ubuntu 24.04 Long-Term Support (LTS)., Microsoft Windows 11 Enterprise (note that most hardware suppliers do not support this on server models)., Virtualisation: Vmware (e.g. vSphere, ESXi, Server, Player Plus) and Microsoft HyperV only for local execution in Statistics Denmark and only by special arrangement., You will be paying for all costs in connection with acquisition, installation, dismounting, removal, repair, service and error correction of hardware as well as software. Statistics Denmark takes care of the installation of operating system and programmes., How to get a hosted server, Step 1: Ordering data at Statistics Denmark Research Services, Before you can order a hosted server with Statistics Denmark, you need to make an appointment with Research Services regarding delivery of data to your research project., Step 2: Operating agreement with Statistics Denmark’s Service Desk, When you have made an agreement with Research Services regarding delivery of data, you must contact Statistics Denmark’s Service Desk for the purpose of drafting an operation agreement. This must be approved by you and Statistics Denmark before the server creation can start. As part of the operation agreement, you and Statistics Denmark each appoint one contact person., Step 3: Server creation by Statistics Denmark’s Service Desk, When the operation agreement has been approved by you and Statistics Denmark’s Service Desk, the server creation can be initiated., Statistics Denmark performs installation and mounting of operating system and programmes. However, you will be paying for all costs associated with it, as well as with dismounting, removal, repair, service and error correction of both hardware and software.

https://www.dst.dk/en/TilSalg/data-til-forskning/analyseplatform/hosted-server

Reporting to Intrastat via IDEP

In IDEP it is possible to upload files from your economy system and e.g. upload both Intrastat Import and Export in the same file. It is also possible to manually enter data and save the most used country and goods codes for faster reporting. See guides and file examples below., Start IDEP, Many ERP systems (C5, Navision, SAP, XAL, Visma, m.fl.) can generate files which can be imported to IDEP. , Read about how to import data to IDEP and download file examples below:, Intrastat Multi Excel example file with new variables - (Excel), Intrastat Excel Line example file with new variables - (Excel), Intrastat Multi Excel Currency example file with new variables - (Excel), Guides to Data Import, Intrastat Multi Excel (Valuta/Currency) - Import data - (PDF), Intrastat Excel Line - Import data - (PDF), Intrastat SDF - file format and upload - (PDF), Intrastat Multi Text TAB - file format and upload - (PDF), Intrastat Text TAB - file format and upload - (PDF), File examples, Intrastat Multi Excel - example file - (Excel), Intratstat Multi Excel Currency - example file - (Excel), Intrastat eksport Excel Line - example file - (Excel), Intrastat import Excel Line - example file - (Excel), Intrastat eksport SDF-file - example file - (TXT), Intrastat import SDF-file - example file - (TXT), Intrastat Multi TEXT TAB - example-file - (TXT), Intrastat eksport Text TAB - example file - (TXT), Intrastat import Text TAB - example file - (TXT), CN8 Goods codes, CN8 goods codes search in IDEP - (PDF), Save line templates - (PDF), Save goods codes in IDEP - (PDF), VAT number validation, VAT number validation in IDEP - (PDF), VAT validation example file - (TXT), For more information about Intrastat see: , Intrastat information page

https://www.dst.dk/en/Indberet/vejledning-til-digital-indberetning/indberetning-via-idep/intrastat

Documentation of statistics: Households, Families and Children (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Households, Families and Children 2017 Month 01 , Previous versions, Households, Families and Children 2016, Households, Families and Children 2014, The statistics describe the resident population in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, type of family with children, size of family, type of household)., Statistical presentation, The statistics on households and families describe the total population living in Denmark. Statistics are produced covering three different kinds of units: households, families and persons. The statistics describe these units on the basis of household- and family-related variables (e.g. type of family, size of family, type of household). The basis for the statistics consists solely of CPR data on sex, age, marital status, references to spouses and parents, and address specification. The address data form the basis of the division into households, municipalities and regions., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) provide the basis for the statistics., No corrections are made., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, labour market organizations, international organizations, the media and private persons for public and private planning purposes and as basis for public debate., Read more about relevance, Accuracy and reliability, It is very important for the primary data of the statistics that the address information is reliable. The statistics are influenced by the extent to which the population is not registered in the CPR register at correct addresses. No estimates are made of the scale of this problem, and it is not possible to make corrections for this., Read more about accuracy and reliability, Timeliness and punctuality, Statistics on households and families are published approx. 45 days after January 1st. Statistics on families with children are published approx. 135 days after January 1st., Read more about timeliness and punctuality, Comparability, The definition of families was changed in 2008. Statistics on families based on the new definition are accessible from the database Statbank Denmark back to 1986. These data cannot be compared to family statistics published before 2008., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik), Population and Elections (Statistical News (Statistiske Efterretninger)), StatBank Denmark (Danmarks Statistikbank). Statistical Yearbook, Statistical 10-year Review, the annual publication Vital Statistics (Befolkningen Udvikling).*, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/households--families-and-children--discontinued-

Documentation of statistics

Documentation of statistics: Lunch schemes in daycare institutions (Discontinued)

Contact info, Population and Education , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Lunch schemes in daycare institutions 2018 , Previous versions, These statistics show the children's lunch schemes in daycare institutions. The figures can be used for cross-municipal comparison. This survey is compiled for the first time in 2018, with figures for 2018., Statistical presentation, This survey is an annual estimate of who is responsible for lunch schemes in daycare institutions, including whether the lunch scheme is organized by the municipality, the parents, the daycare institution itself or the children themselves bring packed lunches. These statistics are grouped by type of institution, age groups and municipalities., Read more about statistical presentation, Statistical processing, Information on lunch schemes have been collected through a combination of interviews including web surveys, telephone interviews and direct interviews with municipalities and institutions. Validation primarily consist of re-contact with the municipalities and institutions in question., Read more about statistical processing, Relevance, The survey can be used for comparison across lunch-schemes in municipalities. It can further be used by parents to assess who is arranging lunch-schemes in the municipality where their children goes to day-care institution. These statistics are compiled on the basis of an agreement between the Ministry of Children and Social Affairs and Statistics Denmark. , Read more about relevance, Accuracy and reliability, There is uncertainty in the with few answers from the day-care facilities . Such errors are not systematically and have little effect to the accuracy. The accuracy might further be affected by not representing all day-care facilities in Denmark. The elimination of day-care facilities in the data processing and the limits to the survey design implies that some day-care facilities are missing in the data., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are initially published on 30 November 2018 with figures for 2018. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics are comparable between municipalities. These statistics have so far only been produced for the year 2018. Comparability over time is thus not yet possible., Read more about comparability, Accessibility and clarity, The statistics are published on Statistikbanken under Institutions in the tables FROK2 and FROK3., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/lunch-schemes-in-daycare-institutions--discontinued-

Documentation of statistics

Documentation of statistics: District nursing (Discontinued)

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, District Nursing 2016 Month 12 , Previous versions, District Nursing 2015 Month 12, Statistics on home nursing is a revitalisation of the part of the indicators on municipal health regarding home nursing, where data are collected directly for the care systems of the municipalities. The statistic give the number of recipients, visits and services of home nursing. , Statistical presentation, The statistic of home nursing has information on number of visits and recipients of home nursing and on services delivered on types. The statistic is published in three tables in StatBank Denmark., Read more about statistical presentation, Statistical processing, Before using the data from the municipal care systems Statistics Denmark perform a validation process. There is no subsequent acceptance of data by the municipalities. The municipalities can transmit revised data, which will be part of the coming version of the statistics. Statistics Denmark compile the number of visits on the timestamp for the delivered service. There are made no imputations, correction of data nor seasonal adjustment., Read more about statistical processing, Relevance, The authorities and public institutions and citizens can use the statistics for analysis, research, debate etc. Yearly the statistics can be presented at two of Statistics Denmark's committees for users: Regions and Municipalities respectively Welfare Statistics., Read more about relevance, Accuracy and reliability, Data must be taken with reservations for the differences in the ways municipalities register. Over time within one municipality changes can also occur regarding coverage and/or practice, which can lead to shift in level. Since data are not available for all municipalities it is not possible to publish data for the regions and the whole country., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published in March, less than three months after the end of the reference period., Read more about timeliness and punctuality, Comparability, Comparability across time should be possible, though the comparability depends on the practice used in each municipality and possible changes in this over time. As regards the comparability on type of services this is assessed to be poor., Read more about comparability, Accessibility and clarity, Data are available on StatBank Denmark and via the homepage , home nursing, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/district-nursing--discontinued-

Documentation of statistics