Skip to content
Search dst.dk

    Search result

      Showing results 791 - 800 of 1072

      Documentation of statistics: Energy Accounts for Denmark

      Contact info, National Accounts, Climate and Environment, Economic Statistics , Thomas Eisler , +45 20 56 92 83 , TME@dst.dk , Get documentation of statistics as pdf, Energy Accounts for Denmark 2024 , Previous versions, Energy Accounts for Denmark 2023, Energy Accounts for Denmark 2022, Energy Accounts for Denmark 2021, Energy Accounts for Denmark 2020, Energy Accounts for Denmark 2019, Energy Accounts for Denmark 2018, Energy Accounts for Denmark 2017, Energy Accounts for Denmark 2016, Energy Accounts for Denmark 2015, Energy Accounts for Denmark 2014, Energy Accounts for Denmark 2013, Energy Accounts for Denmark 2012, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY33 (pdf) (in Danish only), The energy accounts show how energy enters and is used within the Danish economy. They present flows of energy products according to the divisions and scope of national accounts. Flows include supply from production, extraction or imports and use in the form of consumption, exports and stock changes. Energy consumption in the the energy accounts is fully comparable with the description of the economic activity as described in the national accounts. In 1974, the first energy accounts for Denmark were made for the years back to 1966., Statistical presentation, The energy accounts account for 46 different energy commodities. The energy accounts are made up in specific physical quantities (tonnes, m3, GWh), energy units (joule) and gross energy consumption. The energy account is published in newsletters (Nyt) and in the statistical database. , Read more about statistical presentation, Statistical processing, Energy accounts are compiled using a method of product balancing. Supply and use of each energy product are compiled in a way to ensure their equality and are balanced by utilizing all the relevant information from the available sources., Read more about statistical processing, Relevance, The energy accounts are used by ministries, governmental agencies and organizations as a part of the surveillance of measures in the field of energy policy. Within Statistics Denmark, the energy accounts are used as basis for the supply use tables of the national accounts and as basis for the compilation of the air emissions accounts. The energy accounts are furthermore used as basis for input-output model based analyses., Read more about relevance, Accuracy and reliability, Precision and reliability are estimated to be great for the overall energy consumption thanks to energy statistics from the Danish Energy Agency as well as statistics on production and foreign trade with energy products. The precision of the distribution of energy use by industry is estimated to be less accurate. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published anually approx. 6 months after the reference period. However, on the most detailed level the energy accounts are published approx. 18 months after the reference period. The first publication 6 months after the reference period includes only data aggregated on 36 industry groups. The statistics is normally published without delays on the announced date. , Read more about timeliness and punctuality, Comparability, The energy accounts are available in a comparable form back to 1966, which allows for consistent time series analysis. The energy accounts were revised for all year with the publication on 20 November 2013. The main focus of the revision was to ensure comparability and consistency over time. The statistics follow international standards and are thus largely comparable with similar statistics from other countries. , Read more about comparability, Accessibility and clarity, Statistics are published in a Danish press release , Nyt fra Danmarks Statistik, . In StatBank Denmark under the theme , Energi- og emissionsregnskaber, . More information is found at , the theme page for energy and emission accounts, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-accounts-for-denmark

      Documentation of statistics

      Documentation of statistics: ICT Usage in Households and by Individuals

      Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., 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 the subject , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

      Documentation of statistics

      Documentation of statistics: Hospitalization

      Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , lha@dst.dk , Get documentation of statistics as pdf, Hospitalization 2024 , Previous versions, Hospitalization 2023, Hospitalization 2022, Hospitalization 2021, Hospitalization 2019, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilisation Statistics is to shed light on the connection between hospitals stays and social and demographic conditions. The statistics have been compiled since 1990, but are comparable in their current form only from 2017 onwards., Statistical presentation, The statistics are an annual inventory of stays at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital stays vary with demographic and social factors, such as residence, sex, age, educational level, labour market affiliation and relatives. The statistics are published in News from Statistics Denmark and in the StatBank., Read more about statistical presentation, Statistical processing, The statistics are based on data retrieved from the National Patient Registry, which is shared with Statistics Denmark by the Danish Health Data Authority. Background data from Statistics Denmark are linked to the registry, and summaries and counts are produced — for example, the number of hospital stays and patients in public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private stakeholders, as well as the general population, can use the statistics to extract data on the population’s hospital utilisation for various analyses, research, public debate, etc. The statistics make it possible to produce figures for specific diagnosis groups and to link information on hospital utilisation with sociodemographic factors such as place of residence, education, labour market attachment, and origin. This is made possible by linking data from the National Patient Register with population register data from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilisation Statistics is high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published within approximately nine months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics have been developed since 1990, but are only comparable in their current form from 2017 onwards., Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on hospitalisation utilisation (https://www.Statbank.dk/20050). Statistical Yearbook and Statistical Ten-Year Review contain selected sections about hospitalisation rates. For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/hospitalization

      Documentation of statistics

      Documentation of statistics: Childcare after school start

      Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Childcare after school start 2024 , Previous versions, Childcare after school start 2023, Childcare after school start 2022, Childcare after school start 2021, Childcare after school start 2020, Childcare after school start 2019, Childcare after school start 2018, Childcare after school start 2017, Childcare after school start 2016, The statistics illustrate the number of children in childcare for schoolchildren and the number of employees with pedagogical assignments. The subject of childcare used to cover the entire childcare area for children from the age of 0-18 years, which from 2015 has been divided into childcare pre-school for children (0-5 years) and childcare school for children (6 - to 18 years). The purpose of this statistics is to shed light on childcare for schoolchildren., Statistical presentation, The statistics is an annual inventory of the number of enrolled children and the number of employees with pedagogical assignments in childcare for schoolchildren. The children and young people are measured by municipalities, category of child care, type of ownership and age. The staff are measured by municipalities and positions category. The statistics are published in StatBank Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from municipalities and payroll systems. It is supplemented by data from the Ministry of Education and electronic reports from self-employed and private institutions. The data collected are validated for large deviations as well as inconsistent information from the different sources and is compared with the numbers from previous years. , Read more about statistical processing, Relevance, There are several different diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Muncipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the allocation of resources and the service level in the childcare area. Data has been collected on the basis of an agreement between Statistics Denmark and the Ministry of Children and Social Affairs., Read more about relevance, Accuracy and reliability, The inventory contains information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and the assessment institutions on whether the staff is working in childcare or as the teacher in the same school. Some new established institutions can be missing and some can have changed status without Statistics Denmark has been informed. , Read more about accuracy and reliability, Timeliness and punctuality, The inventories are published without delay in relation to the pre-announced release date in the release calendar. The publications take place once a year., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. In general it is possible to compare the total number of children and type of institutions from 1994 onwards. However be aware that the day of reference changes from spring to autumn from 2004. Statistics on childcare are published in several countries, but they do not have common guidelines. The subject of child care in the OECD countries is described in the yearly report Education at a Glance., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the subject of , Childcare, . For further information, go tp the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-after-school-start

      Documentation of statistics

      Documentation of statistics: Social benefits for senior citizens

      Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2024 , Previous versions, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation, preventative home visits as well as readmissions . Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication in 2024, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, These statistics are published in a , Danish new release, . In the StatBank, these statistics can be found under the subject , Social benefits for senior citizens, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

      Documentation of statistics

      Documentation of statistics: Sale of prescription drugs (experimental Statistics)

      Contact info, Personal Finances and Welfare , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Sale of prescription drugs (experimental Statistics) 2021 , Previous versions, The aim of the experimental statistics "Sales of prescription medicine" is to elucidate the population’s purchase of medicines via prescription. The statistics can be used to get insight into the distribution of redeemed prescriptions in relation to type of medicine, gender, age, geography and social conditions., Statistical presentation, The statistics "Sales of prescription medicine (Experimental statistics)" contain information on all sales of human medicines in Denmark, which took place via prescription. The statistics also cover the sale of medicines that do not require a prescription but are sold on prescription. Sales are calculated in relation to the number of people who have redeemed a prescription and the number of prescriptions redeemed. The statistic covers the period from the 1st of January 2016 to the 31st of December for people with registered residence in Denmark by 1st of January of the related year. , Read more about statistical presentation, Statistical processing, Source data comes from the Danish Health Data Agency, which once a month calculates all sales of human and veterinary medicines in Denmark, after they have validated and quality checked the data., Read more about statistical processing, Relevance, The statistics may be relevant for authorities who wish to gain an insight into the population's redemption of prescriptions and an insight into the redemption of prescriptions among certain population groups with regard to e.g. gender, age, geography and social conditions., Read more about relevance, Accuracy and reliability, Pharmacies are required by law to report data to The Danish Health Data Authority, but source data only cover sales of human medicines via prescription. This does not necessarily mean that the person who bought the medicine has taken the medicine. At the same time, the statistics do not contain information on the purchase of medicines without a prescription and it does not contain information about medicines used in hospitals or in medical practices. The statistics are not expected to be revised, as The Danish Health Data Authority very rarely corrects source data back in time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in February 2023, and is currently not expected to be published again., Read more about timeliness and punctuality, Comparability, Several comparable national and international statistics exist about the consumption of medicines. There are several factors that can influence the sales of prescription medicine. Regulations of witch medicines that require prescription and the amount of subsidies offered by the authorities, can vary from country to country and over time. Therefore it is important to be observant of these factors, if the statistics is used to evaluate the consumption of medicine over time or to compare consumption from country to country., Read more about comparability, Accessibility and clarity, The statistic can be found in the Statbank under the subject Health. It is ensured, that there are at least 5 observation per cell. At this time it is not possible to order a tailor-made statistic. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sale-of-prescription-drugs--experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Health among young people not in employment, education or training (NEET) (experimental statistics)

      Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Health among young people not in employment, education or training (NEET) (experimental statistics) 2023 , Previous versions, Health among young people not in employment, education or training (NEET) (experimental statistics) 2022, Health among young people not in employment, education or training (NEET) (experimental statistics) 2021, The purpose of Health among young people not in employment, education or training (NEET) is to shed light on hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds, distinguishing between the inactive NEETs (Not in Employment, Education or Training) and the remaining group of active young people. The statistics are used to compare the state of health among NEETs and the remaining group of active young people. These statistics have been compiled since 2019 and are in their current form comparable from 2019 and onwards., Statistical presentation, Health among young people not in employment, education or training (NEET) are a yearly measurement of hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds stated in number and proportion of people, as well as number of contacts with the hospital system and selected health professionals/redeemed prescriptions per person. The statistics are grouped by NEET status (the NEET group vs. the remaining group of active young people), sex and by geography., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Register-Based Labour Force Statistics and the two health statistics: the Hospital Utilisation Statistics and the Health Insurance Statistics as well as the Register of Pharmaceutical Sales. Collected data are not further validated. Instead, collected data are merged, and the detailed information about the population's hospital utilisation, consultations with physicians and purchases of prescription medicine is aggregated into the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of the health of the NEET group., Read more about relevance, Accuracy and reliability, The overall accuracy of these statistics is high, which means that they are a good measure of the health status among the NEET group and the remaining group of active 16-24-year-olds. However, it should be noted that the operationalization of NEET status implies a great diversity within the NEET group, for this reason far from all young people in this group should be designated vulnerable. Overall, the statistics are reliable, as both the data and methods are of good quality. As the statistics only release final figures, revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 1.5 years after the end of the reference period. Publications are released on time as stated in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2019 and are in their present form comparable from 2019 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published once 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 the subject , Health of vulnerable groups, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-among-young-people-not-in-employment--education-or-training--neet---experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Social resources

      Contact info, Personal Finances and Welfare , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Social resources 2022 , Previous versions, Social resources 2021, Social resources 2020, Social Resources 2019, Social Resources 2018, Social Resources 2017, Social Resources 2016, Social Ressources – Elderly and Adults 2015, Social Ressources – Elderly and Adults 2014, The purpose of the survey is to establish the available social resources (capacity, number of users, and general organization, etc.) in Danish municipalities. Furthermore, the survey analyses the social- and health-care related services administered by municipalities. These services include care for the elderly, dental services for children and young people and special institutions for children and young people etc. The social resources survey includes public and privately owned institutions. The statistics are published for the first time in 1972 but have been changed over time due to changes in legislation an user needs., Statistical presentation, Social resources is a yearly measurement of social services delivered by municipalities concerning care for elderly, adults and children and young people receiving social benefits . The data are published for Denmark as a whole. Some data are further more grouped by regions or municipalities. , Read more about statistical presentation, Statistical processing, Data are collected yearly from municipalities from six questionnaires. Data are validated against previously collected information and controlled for large variances over time. Further more data are checked for inconsistency and validated against legal developments at the area. Some data concerning age distribution are imputed where municipalities have only registered total data. , Read more about statistical processing, Relevance, The statistics are primarily of interests for the central government and various government boards and are used for estimating and planning capacity and occupancy rates within social services. Core actors and users of the survey are actively involved in adjusting the content each year which means that user needs are taken into account., Read more about relevance, Accuracy and reliability, The survey is a full-scale census based on responses from all municipalities. In some cases it is difficult for the municipalities to provide the correct data from their systems or they change their way of reporting data. In these cases data received might be less accurate of vary over time. A certain statistical uncertainty is caused by municipalities difficulties with estimating different services and caused by different administrative practices between municipalities. , Read more about accuracy and reliability, Timeliness and punctuality, Most of the information are collected for one single week in April depending on Easter. In some cases data are collected for the entire previous year. A Danish press release and a number of corresponding tables (RESI01, RESP01, RESDHJCE, RESMAD, RESANDHJ, RESPLEJV, RESPRVHJ, RESTAND) are published at the end of November then same year. The rest of the tables (RESFAMPL, RESHJMTR, RESLED, RESFDPJ, RESSBU2) are published in the Statbank at the end of March the following year. These statistics are normally published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The survey goes back to 1972. However, due to yearly changes the version used in 1972 has little in common with the one used today. Furthermore, due to the municipal reform there was a break in times series in 2006 and 2007. The totals for the country as a whole are, however, comparable before and after the reform., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release. Further more the statistics are published in the StatBank under the subjects:, Elderly people receiving social benefits, , , Disadvantaged children and young people, , , Disability care, , , Health, Visits to physicians, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-resources

      Documentation of statistics

      Documentation of statistics: Elections to municipal and regional councils

      Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Elections to municipal and regional councils 2025 , Previous versions, Elections to municipality councils 2017, Elections to municipal and regional councils are held every four years, on the third Tuesday in November. Results from the elections are published in the StatBank three to four months after the election., Statistical presentation, The statistics of the election to the municipalities and regions publishes around two months after the date of the deadline for complaints (media January the following year). The statistics publish for each municipality. The candidate is broken down on parties, sex, and whether they are elected/nominated. The distribution on votes is broken down on party, postal votes, invalid votes. The statistics is based on extract from the IT election system of KOMBIT/Netcompany from which Statistics Denmark receive data from., Read more about statistical presentation, Statistical processing, Data for these statistics are provided as an extraction from the election software system (managed by KOMBIT/Netcompany) after the deadline has expired for complaints/objections. , Read more about statistical processing, Relevance, The statistics are relevant for municipalities, regions, ministries, other government organizations, political party organizations, researchers and citizens as a basis for planning and surveys. The data basis of the statistics (micro-data) is used by researchers to whom data is made available via Statistics Denmark's Research Services. , Read more about relevance, Accuracy and reliability, The statistics are based on data extractions from the election software system (managed by KOMBIT/Netcompany) to which the results of the municipal and regional elections are reported. As the data basis is used for calculating the composition of the local and regional councils, it is demanded that the statistics are recorded accurately and, as a result, are of very high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The election is held every four years on the third Tuesday of November. The results are usually published four months later, i.e. mid-March. , Read more about timeliness and punctuality, Comparability, In connection with the municipal reform of 2007, the number of municipalities in which to hold elections was reduced from 271 to 98. For the majority of municipalities, it meant that the geographical scope of the municipality increased considerably, and that a new local council had to be elected for the new increased geographical area which had previously been covered by two or more municipalities and a corresponding number of local councils. , Read more about comparability, Accessibility and clarity, In the Statbank, these statistics can be found under , Elections to municipality councils, . In a separate article prepared for the Ministry for Interior and Health, you can see the distribution of candidates and votes for each party and each municipality. The article is available on , page concerning municipal elections (only in Danish), . Selected information about the elected candidates is published in a , Danish press release, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/elections-to-municipal-and-regional-councils

      Documentation of statistics

      Documentation of statistics: Fixed Capital Stock

      Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Johansen Næsby , +45 29 44 68 24 , JJN@dst.dk , Get documentation of statistics as pdf, Fixed Capital Stock 2021 , Previous versions, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of fixed capital is to provide a picture of the productive capacity of the economy's capital stock as well as of that part of national wealth which is placed in fixed assets. Fixed capital is compiled according to guidelines in the present European national accounting system, ESA2010, and is based on investment series from the National Accounts. Fixed capital according to ESA2010 was first published in September 2014. Updated series for fixed capital are published yearly., Statistical presentation, Fixed capital consists of five variables compiled at current prices and 2010-prices, chained values (Other volume changes in non-financial assets are not compiled at 2010-prices, chained values and revaluations are, by definition, only available at current prices):, Gross stock Net stock Consumption of fixed capital Other volume changes in non-financial assets n.e.c. Revaluations, Read more about statistical presentation, Statistical processing, The compilation of fixed capital is consistent with the investment series from the National Accounts with breakdown into industries, a fact which ensures consistency with the rest of the National Accounts. Buildings and transport equipment are completely or partly compiled using direct stock information from registers, which is seen as the most reliable compilation method. As buildings and transport equipment form the major part of fixed capital, it follows that the uncertainty on the total stock is reduced considerably. For the other variables, the PIM method or a combination of both methods is used., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. National accounts are used as the basis for analyzing the economic development. National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, The uncertainty on fixed capital is closely related to the uncertainty on the sources used. In addition, there is uncertainty connected with the assumptions made, for example in relation to service lives. Recently, there has been a tendency for upgrades of the figures for gross fixed capital formation. This means that one should expect a somewhat greater uncertainty about the figures for gross fixed capital formation than for other variables., For a sensitivity analysis on the service lives used for dwellings please refer to A comparison of PIM Estimates with Direct Stock Information for Dwellings by Esben Dalgaard and Annette Thomsen. Paper prepared for the 26th General Conference of The International Association for Research in Income and Wealth. Cracow, Poland, 27 August to 2 September 2000., Read more about accuracy and reliability, Timeliness and punctuality, First version of preliminary yearly national accounts figures are published end of November the following year for fixed capital. The final figures are published 3 years after the reference year., The statistics are usually published according to schedule., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/fixed-capital-stock

      Documentation of statistics
      Previous
      Next