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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: Purchase of prescription drugs

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Purchase of prescription drugs 2024 , Previous versions, Sale of prescription drugs (experimental Statistics) 2021, The aim of the statistics "Purchase 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 "Purchase of prescription medicine" 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, the number of prescriptions redeemed and number of redeemed prescriptions per citizen. The statistic covers the period from the 1st of January 2016 to the 31st of December 2024. , 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., The sales are compiled on an annual basis and linked with selected personal information from Statistics Denmark’s registers, including users’ gender, age, geography, and education., Read more about statistical processing, Relevance, The statistics can be used by ministries and other public authorities for ongoing monitoring of the population’s redemption of prescriptions. Researchers can use the statistics as a proxy for morbidity and developments over time, while the general public can use the statistics for general information on pharmaceutical consumption in Denmark., 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. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in January 2025. Future releases are expected to be published in November., 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 statistics are published in , Nyt from Statictics Denmark, . In StatBank Denmark, the statistics are published under the topic , Consultations of physicians, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-prescription-drugs

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: Cost index for refuse collection, sludge removal and freight transport by road

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Cost index for refuse collection, sludge removal and freight transport by road 2025 , Previous versions, Cost index for refuse collection, sludge removal and freight transport by road 2024, Cost index for refuse collection, sludge removal and freight transport by road 2022, Cost Indices for Refuse Collection and Slurry Pump 2021, Cost Indices for Refuse Collection and Slurry Pump 2020, Cost Indices for Refuse Collection and Slurry Pump 2019, Cost Indices for Refuse Collection and Slurry Pump 2018, Cost Indices for Refuse Collection and Slurry Pump 2017, Cost Indices for Refuse Collection and Slurry Pump 2016, Cost Indices for Refuse Collection and Slurry Pump 2015, Cost Indices for Refuse Collection and Slurry Pump 2014, Documents associated with the documentation, Vægtgrundlag, Omkostningsindeks for dagrenovation, slamsugning og lastvognskørsel (pdf) (in Danish only), The purpose of these indices is to show trends in prices for refuse collection, slurry pump and freight transport by road in Denmark. The indices are made at the request of Dansk Transport og Logistik (DTL - Danske Vognmænd) and are, among others, used for price regulation of contracts. The indices have been published since 1997., Statistical presentation, The indices are produced on a quarterly basis and separately for refuse collection, slurry pump and freight transport by road. They are calculated separately for each industry. In addition, separate indices for each industry excl. the cost of fuel, are also published., Read more about statistical presentation, Statistical processing, The Cost index for refuse collection, slurry pump and freight transport by road includes costs of labor, repairs and maintenance, fuel, tires, administration, insurance and capital costs. These are weighed together to form the total indices. The weights reflect the cost shares of the total costs of performing refuse collection, slurry pump and freight transport by road. For indices excl. fuel, the fuel category has been removed from calculations., Read more about statistical processing, Relevance, The purpose of the indices is to reflect the development in the costs of refuse collection, slurry pump and freight transport by road., Read more about relevance, Accuracy and reliability, Index weights are established in cooperation with Dansk Transport og Logistik (the Danish Transport and Logistics Association) and Dansk Industri (Confederation of Danish Industry). The indices are deemed representative for refuse collection, slurry pump and freight transport by road performed in Denmark., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly at the beginning of February, May, August and November. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The cost indices for refuse collection and slurry pump are comparable over time from 1997 until today. The cost index for freight transport by road is comparable over time from 2022 until today., There are no international statistics which are directly comparable to the Danish indices., Read more about comparability, Accessibility and clarity, The statistic is published in the Statbank as , BYG91, . See more on the statistic's , subject page, A subscription service is available, where overviews of the statistic are send quarterly by email. The subscription is only available in Danish and can be ordered , here, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cost-index-for-refuse-collection--sludge-removal-and-freight-transport-by-road

Documentation of statistics

Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Documentation of statistics: Cash Benefits

Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Cash Benefits 2025 , Previous versions, Cash Benefits 2024, Cash Benefits 2023, Cash Benefits 2021, Cash Benefits 2020, Cash Benefits 2019, Cash Benefits 2018, Cash Benefits 2017, Cash Benefits 2016, Cash Benefits 2015, Cash Benefits 2014, The purpose of the statistics Cash Benefits is to measure the number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid to person’s who receive cash benefits and related benefits. The statistics are used to public planning, budgeting in the municipalities, education, research and public debate. These statistics have been compiled since 1983, but is in its current form comparable from 2007 and onwards., Statistical presentation, Cash Benefits statistics are a monthly and yearly measurement of receivers of cash benefits and related benefits stated in number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid in 1.000 DKK. The statistics cover persons who are above the age of 16 years old. Furthermore we have a yearly statistics grouped by ancestry, family type and national origin., Read more about statistical presentation, Statistical processing, Administrative data for these statistics are collected monthly from KY. The level and the development of the statistics are compared with the previous three months for every account code according to the authorized account plan. The collected data is processed according to the definition of affected persons. The definition can be found in section 2.04 , Statistical concepts and definitions, ., Read more about statistical processing, Relevance, These statistics are relevant for ministries, municipalities, organizations, education institutions, research institutions, the media and private persons, for analysis, public and private planning etc. The statistical data are also used in other areas within Statistics Denmark, e.g. analysis, production and validation of the statistics , People receiving public benefits, ., Read more about relevance, Accuracy and reliability, The statistics are based on records from KY. The records are based on an authorized account plan made by the Ministry of Health and the Interior. The municipalities have an economic incentive to make valid registrations. Therefore, the overall accuracy is at a high level., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and yearly. The quarterly statistics are published 70 days after the end of the reference period while the yearly statistics are published 5-6 months after 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 1983 but is in its present form comparable from 2007 and onwards., Comparability over time can be divided in to three periods:, 1983 Quarter 2 - 1993 Quarter 4 - Number of families., 1994 Quarter 1 - 2006 Quarter 4 - Number of persons. , 2007 Quarter 1 - present - Number of persons. New source and counting., It is not possible directly to compare the statistics internationally, as other countries do not have the corresponding benefits and rules., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in a Danish press release, at the same time as the tables are updated in the StatBank. The yearly statistics are only published in the StatBank. In the StatBank, these statistics can be found under the subject , Cash benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cash-benefits

Documentation of statistics

Documentation of statistics: Home Appliances (Discontinued)

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Home Appliances 2023 , Previous versions, Home Appliances 2022, Home Appliances 2020, Home Appliances 2019, Home Appliances 2018, Home Appliances 2017, Home Appliances 2016, Home Appliances 2015, These statistics shows Danish families' possession of electronics in the household. New electronic products are constantly being developed, which over time become commonplace in Danish homes. The products in the statistics are replaced on an ongoing basis, so that new ones are included, while others are removed as they have become commonplace, e.g. smart TV. The survey has been compiled since 1990 and the statistics have been comparable ever since. Before 2000, the surveys were conducted in October. Since 2001, data are collected in April., Statistical presentation, These statistics are an annual survey of how many percent of Danish families who possess different types of electronics, e.g. robot vacuum cleaners, smart TV and smart phones etc. , Read more about statistical presentation, Statistical processing, For the time being the sample of an omnibus survey consists of 1,500 persons, drawn from a population of persons aged 16-74 residing in Denmark., As it is not possible to interview all 1,500 persons, each completed interview is given a personal weight, which corrects the effects of non-sampling and non-response (including no telephone) and ensures that the results cover the whole population in the sample. , However, the questions on home appliances do not concern the individual person, but the family he/she is living with. For that reason the answers are given a family weight, which ensures that the families with different numbers of persons aged 16 years or over are represented in the sample with varying probability. A family is defined as one or several persons between 16 and 74 years who live in the same accommodation and are related (includes also cohabiting couples) and their children, though there can only be one married or cohabiting couple in the family. The sum of the family weight for all completed interviews, gives the number of families in Denmark that have persons aged between 16 and 74 years., In the frame of data validation the check of the data correctness is conducted by checking the consistency of the responses by every single respondent, comparison of the results with the results of the previous year, as well as comparison of the non-response rate are also undertaken., Read more about statistical processing, Relevance, The press use the information to inform about developments in home appliances., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65 pct., which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated to range between +/- 3 percentage points., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The number and nature of the electronic products, that are included in the studies are replaced along the way, so that new products that - especially as a result of technological development - become interesting are added. Products that have become common property in almost every family are discontinued. Therefore comparison over longer periods some times could be difficult., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home appliances, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-appliances---discontinued-

Documentation of statistics

Documentation of statistics: Economic Accounts for Agriculture (Discontinued)

Contact info, Food Industries , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2023 , Previous versions, Economic Accounts for Agriculture 2022, Economic Accounts for Agriculture 2021, Economic Accounts for Agriculture 2019, Economic Accounts for Agriculture 2018, Economic Accounts for Agriculture 2017, Economic Accounts for Agriculture 2016, Economic Accounts for Agriculture 2013, The Economic Accounts for Agriculture (EAA) illustrates the development in the economy in the agricultural sector and serves as input to the National Accounts. Economic Accounts for Agriculture exist back to 1935, but the statistics are in their present form comparable from 1990 onwards., Statistical presentation, The Economic Accounts for Agriculture (EAA) are an annual statement of the agricultural business results, including crop and animal sales products, intermediate consumption, grants and taxes. The Economic Accounts for Agriculture show the results before depreciation, interest and remuneration of labor. The statistics are calculated in million Danish kroner and as price and volume indices. It is broken down by type and geographical by region., Read more about statistical presentation, Statistical processing, The Economic Accounts for Agriculture are calculated annually based on data from many different statistics, mainly from the agricultural statistics. The values of the different products are calculated using prices and quantities. Data is validated when the primary statistics are calculated but it is also validated when used in the calculation of the Economic Accounts for Agriculture. , Read more about statistical processing, Relevance, The Economic Accounts for Agriculture is relevant for the Danish authorities especially the Ministry of Environment and Food of Denmark, EU and the agricultural organizations, so they can follow the development in the economic activities in the agricultural sector. It is also an input to the National Accounts. , Read more about relevance, Accuracy and reliability, As the statistics are compiled on the basis of a wide range of agricultural statistics, a significant number of sources of statistical errors are present. Problems with providing fully representative reference periods can give uncertainty whereas information from dairies and slaughterhouses is exact. For the preliminary results some estimates and assumptions are used until the primary data are finalized which is the reason why the Economic Accounts for Agriculture are finalized two years after the first time published. The reliability f the statistics is good. The margins of statistical error are not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The preliminary statistics are published at the latest 6 months after the end of the reference period. Revised figures, but still preliminary, are published 10 months after the reference period. The final figures are published 2 years and 6 month after the reference period. , Read more about timeliness and punctuality, Comparability, The Economic Accounts for Agriculture is comparable in its current form back to 1990. It can be compared to the Economic Accounts for Agriculture produced by Eurostat. There are some few differences between the Danish and European version. It is also in some way comparable to the economic accounts for agriculture which is calculated on farm level., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . The StatBank Denmark publishes the gross factor income of agriculture under the subject , Agricultural Economics, . In addition, the figures are included in , Statistical Yearbook and Statistical Ten Years Summary, . See more on the subject , Agricultural Economics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economic-accounts-for-agriculture--discontinued-

Documentation of statistics

Documentation of statistics: Deaths and life expectancy (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Deaths and life expectancy 2016 , Previous versions, Deaths and life expectancy 2015, Deaths and life expectancy 2013, These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people, who have died abroad., The statistics of the dead include in the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the expected average life expectancy of a newborn, based on mortality for the last two or five years period, e.g. 2016-2017., Statistical presentation, These statistics contains information on number of deaths by sex, age and municipality of residence., These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people who have died abroad., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from Statens Serum Institut (SSI) are basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, Municipalities, regions, ministries, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., For approximately 5 per cent of the deaths the cause of death is missing. These people have often died abroad., The statistics of death include the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the average number of years a newborn is expected to live on the condition that current age-related death rates remain constant in the future. Life expectancy should therefore only be seen as an indicator of the current mortality of the population - not a prediction of how long newborns will live in practice because age-specific mortality generally decreases over time. The average life expectancy by municipality may however be subject to uncertainty - especially for the small municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning deaths is published app. 45 days after the end of the year., Information concerning the causes of deaths however are quite delayed and are disseminated irregularly., Read more about timeliness and punctuality, Comparability, The statistics is comparable over time., The codes for causes of death have been altered. Until 1993 ICD8 (International Classification of Causes of Death 8th Rev) have been applied. This implies that causes of death before and after 1994 can’t necessarily be compared. However, there have been produced comparable statistics at certain levels., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the Statbank., Yearly publications: , Vital statistics, , , Statistical Yearbook, and , Statistical ten-year review, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/deaths-and-life-expectancy--discontinued-

Documentation of statistics

Documentation of statistics: Quarterly national accounts (Discontinued)

Contact info, National accounts, Economic Statistics , Carmela Moreno , cam@dst.dk , Get documentation of statistics as pdf, Quarterly National Accounts 2018 Quarter 4 , Previous versions, Quarterly National Accounts 2018 Quarter 3, Quarterly National Accounts 2018 Quarter 2, Quarterly National Accounts 2018 Quarter 1, Quarterly National Accounts 2017 Quarter 4, Quarterly National Accounts 2017 Quarter 3, Quarterly National Accounts 2017 Quarter 2, Quarterly National Accounts 2017 Quarter 1, Quarterly National Accounts 2016 Quarter 4, Quarterly National Accounts 2016 Quarter 3, Quarterly National Accounts 2016 Quarter 2, Quarterly National Accounts 2016 Quarter 1, Quarterly National Accounts 2015 Quarter 4, Quarterly National Accounts 2015 Quarter 3, Quarterly National Accounts 2015 Quarter 2, Quarterly National Accounts 2015 Quarter 1, Quarterly National Accounts 2014 Quarter 4, Quarterly National Accounts 2014 Quarter 3, The quarterly national accounts present an overall picture of the short-term economic development within the framework of a system of coherent definitions and classifications., Statistical presentation, The National Accounts are designed to present a complete picture of the economy. The National Accounts provide the conceptual and actual tool to bring to coherence all economic activity and development in Denmark., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled on the basis of all relevant short-term statistics describing parts of the economy. Combining these statistics with the definitions and classifications of the national accounts and the detailed annual national accounts makes it possible to balance all the information regarding the supply and use to a complete picture of the economic activity. For more information detailed descriptions of sources and methods can be found in , Danish Quarterly National Accounts, and , Danish Sector National Accounts, ., Read more about statistical processing, Relevance, As the basic data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. Quarterly 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 quarterly national accounts are compiled using a number of primary statistics. Inaccuracy in these primary statistics as well as the adjustment of the statistics to conform to the national account framework will affect the reliability. However, the juxtaposition in the framework of the national accounts will contribute to reduce the inaccuracy., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly national accounts are published first time 60 days after the end of the quarter and in a revised form 90 days after the end of the quarter. The quarterly sector accounts are published 90 days after the end of the quarter., The statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, The time series in the quarterly national accounts are consistent with the annual national accounts., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik): , Kvartalvist nationalregnskab, ., Statistical News (Statistiske Efterretninger, Nationalregnskab og offentlige finanser)., The annual publication National Accounts (Nationalregnskab)., Data in , Statbank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-national-accounts--discontinued-

Documentation of statistics