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    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: Indices of Average Earnings for the Private Sector (Discontinued)

    Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

    Documentation of statistics

    Documentation of statistics: Government Finance , Quarterly Accounts (Discontinued)

    Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Government Finance , Quarterly Accounts 2023 , Previous versions, Government Finance , Quarterly Accounts 2022, Government Finance , Quarterly Accounts 2021, Government Finance , Quarterly Accounts 2020, Government Finance , Quarterly Accounts 2019, The purpose of Quarterly General Government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from the first quarter 1999 and onward. The statistics is published within three months of the end of the quarter., Statistical presentation, The statistics show the quarterly expenditure and revenue in the sector of general government. The statistics include more data on taxes, income transfers to households and public consumption. The statistics are published within three months of the end of the quarter to which the data concerns. All numbers are in current prices., Read more about statistical presentation, Statistical processing, The main source for the statistics is the accounts of the state, municipalities and regions. The numbers are supplemented by other sources. Estimates are included for the supplement period. For numbers that are not accrued appropriately to the quarters, a calculation is made based on the numbers for the previous quarters, which are distributed among the quarters. There is conducted error detection and validation of the numbers. Table OFF10K and OFF12K are adjusted for seasonal effects., Read more about statistical processing, Relevance, The statistics covers the sector of government finances. The statistic has a lot of interested parties including ministries, politicians, the press and Eurostat., Read more about relevance, Accuracy and reliability, There is no estimation on the uncertainty. Error accounting records are much more frequent in the quarterly accounting reports than in annual accounting reports. The quarterly accounting reports for the central government, regions and municipalities are not represented a final accounting for the quarter. They rather represent a snapshot of the expenditure and revenue recorded at the end of the quarter., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date which is three months after the end of the quarter. , Read more about timeliness and punctuality, Comparability, There is complete comparability with government finance statistics in other countries complying with international standards, i.e. ESA 2010 and SNA 2008. There is comparability over time, but the numbers are calculated at current prices., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark)., Information is also available from Statbank Denmark at , Statistikbanken, in the tables , OFF3K, , , OFF26K, , , OFF10K, og , OFF12K, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: The Monthly Labour Force Survey (LFS) (Discontinued)

    Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , dfg@dst.dk , Get documentation of statistics as pdf, The Monthly Labour Force Survey (LFS) 2026 Month 01 , Previous versions, The Monthly Labour Force Survey (LFS) 2025 Month 12, The Monthly Labour Force Survey (LFS) 2025 Month 11, The Monthly Labour Force Survey (LFS) 2025 Month 10, The Monthly Labour Force Survey (LFS) 2025 Month 09, The Monthly Labour Force Survey (LFS) 2025 Month 08, The Monthly Labour Force Survey (LFS) 2025 Month 07, The Monthly Labour Force Survey (LFS) 2025 Month 06, The Monthly Labour Force Survey (LFS) 2025 Month 05, The Monthly Labour Force Survey (LFS) 2025 Month 04, The Monthly Labour Force Survey (LFS) 2025 Month 03, The Monthly Labour Force Survey (LFS) 2025 Month 02, The Monthly Labour Force Survey (LFS) 2025 Month 01, The Monthly Labour Force Survey (LFS) 2024 Month 12, The Monthly Labour Force Survey (LFS) 2024 Month 11, The Monthly Labour Force Survey (LFS) 2024 Month 10, The Monthly Labour Force Survey (LFS) 2024 Month 09, The Monthly Labour Force Survey (LFS) 2024 Month 08, The Monthly Labour Force Survey (LFS) 2024 Month 07, The Monthly Labour Force Survey (LFS) 2024 Month 06, The Monthly Labour Force Survey (LFS) 2024 Month 05, The Monthly Labour Force Survey (LFS) 2024 Month 04, The Monthly Labour Force Survey (LFS) 2024 Month 03, The Monthly Labour Force Survey (LFS) 2024 Month 02, The Monthly Labour Force Survey (LFS) 2024 Month 01, The Monthly Labour Force Survey (LFS) 2023 Month 12, The Monthly Labour Force Survey (LFS) 2023 Month 11, The Monthly Labour Force Survey (LFS) 2023 Month 10, The Monthly Labour Force Survey (LFS) 2023 Month 09, The Monthly Labour Force Survey (LFS) 2023 Month 08, The Monthly Labour Force Survey (LFS) 2023 Month 07, The Monthly Labour Force Survey (LFS) 2023 Month 06, The Monthly Labour Force Survey (LFS) 2023 Month 05, The Monthly Labour Force Survey (LFS) 2023 Month 04, The Monthly Labour Force Survey (LFS) 2023 Month 03, The Monthly Labour Force Survey (LFS) 2023 Month 02, The Monthly Labour Force Survey (LFS) 2023 Month 01, The Monthly Labour Force Survey (LFS) 2022 Month 12, The Monthly Labour Force Survey (LFS) 2022 Month 11, The Monthly Labour Force Survey (LFS) 2022 Month 10, The Monthly Labour Force Survey (LFS) 2022 Month 09, The Monthly Labour Force Survey (LFS) 2022 Month 08, The Monthly Labour Force Survey (LFS) 2022 Month 01, The Monthly Labour Force Survey (LFS) 2021 Month 12, The Monthly Labour Force Survey (LFS) 2021 Month 11, The Monthly Labour Force Survey (LFS) 2021 Month 10, The Monthly Labour Force Survey (LFS) 2021 Month 09, The Monthly Labour Force Survey (LFS) 2021 Month 08, The Monthly Labour Force Survey (LFS) 2021 Month 07, The Monthly Labour Force Survey (LFS) 2021 Month 06, The Monthly Labour Force Survey (LFS) 2021 Month 05, The Monthly Labour Force Survey (LFS) 2021 Month 04, The Monthly Labour Force Survey (LFS) 2021 Month 03, The Monthly Labour Force Survey (LFS) 2021 Month 02, The Monthly Labour Force Survey (LFS) 2021 Month 01, The Monthly Labour Force Survey (LFS) 2020 Month 12, The Monthly Labour Force Survey (LFS) 2020 Month 11, The Monthly Labour Force Survey (LFS) 2020 Month 10, The Monthly Labour Force Survey (LFS) 2020 Month 09, The Monthly Labour Force Survey (LFS) 2020 Month 08, The Monthly Labour Force Survey (LFS) 2020 Month 07, The Monthly Labour Force Survey (LFS) 2020 Month 06, The Monthly Labour Force Survey (LFS) 2020 Month 05, The Monthly Labour Force Survey (LFS) 2020 Month 04, The Monthly Labour Force Survey (LFS) 2020 Month 03, The Monthly Labour Force Survey (LFS) 2020 Month 02, The Monthly Labour Force Survey (LFS) 2020 Month 01, The Monthly Labour Force Survey (LFS) 2019 Month 12, The Monthly Labour Force Survey (LFS) 2019 Month 11, The Monthly Labour Force Survey (LFS) 2019 Month 10, The Monthly Labour Force Survey (LFS) 2019 Month 09, The Monthly Labour Force Survey (LFS) 2019 Month 08, The Monthly Labour Force Survey (LFS) 2019 Month 07, The Monthly Labour Force Survey (LFS) 2019 Month 06, The Monthly Labour Force Survey (LFS) 2019 Month 05, The Monthly Labour Force Survey (LFS) 2019 Month 04, The Monthly Labour Force Survey (LFS) 2019 Month 03, The Monthly Labour Force Survey (LFS) 2019 Month 02, The Monthly Labour Force Survey (LFS) 2019 Month 01, The Monthly Labour Force Survey (LFS) 2018 Month 12, The Monthly Labour Force Survey (LFS) 2018 Month 11, The Monthly Labour Force Survey (LFS) 2018 Month 10, The Monthly Labour Force Survey (LFS) 2018 Month 09, The Monthly Labour Force Survey (LFS) 2018 Month 08, The Monthly Labour Force Survey (LFS) 2018 Month 07, The Monthly Labour Force Survey (LFS) 2018 Month 06, The Monthly Labour Force Survey (LFS) 2018 Month 05, The Monthly Labour Force Survey (LFS) 2018 Month 04, The Monthly Labour Force Survey (LFS) 2018 Month 03, The Monthly Labour Force Survey (LFS) 2018 Month 02, The Monthly Labour Force Survey (LFS) 2018 Month 01, The Monthly Labour Force Survey (LFS) 2017 Month 12, The Monthly Labour Force Survey (LFS) 2017 Month 11, The Monthly Labour Force Survey (LFS) 2017 Month 10, The Monthly Labour Force Survey (LFS) 2017 Month 09, The Monthly Labour Force Survey (LFS) 2017 Month 08, The Monthly Labour Force Survey (LFS) 2017 Month 07, The Monthly Labour Force Survey (LFS) 2017 Month 06, The Monthly Labour Force Survey (LFS) 2017 Month 05, The Monthly Labour Force Survey (LFS) 2017 Month 04, The Monthly Labour Force Survey (LFS) 2017 Month 03, The Monthly Labour Force Survey (LFS) 2017 Month 02, The Monthly Labour Force Survey (LFS) 2017 Month 01, The Monthly Labour Force Survey (LFS) 2016 Month 12, The Monthly Labour Force Survey (LFS) 2016 Month 11, The Monthly Labour Force Survey (LFS) 2016 Month 10, The Monthly Labour Force Survey (LFS) 2016 Month 09, The Monthly Labour Force Survey (LFS) 2016 Month 08, The Monthly Labour Force Survey (LFS) 2016 Month 07, The Monthly Labour Force Survey (LFS) 2016 Month 06, The Monthly Labour Force Survey (LFS) 2016 Month 05, The Monthly Labour Force Survey (LFS) 2016 Month 04, The Monthly Labour Force Survey (LFS) 2016 Month 03, The Monthly Labour Force Survey (LFS) 2016 Month 02, The Monthly Labour Force Survey (LFS) 2016 Month 01, The Monthly Labour Force Survey (LFS) 2015 Month 12, The Monthly Labour Force Survey (LFS) 2015 Month 11, The Monthly Labour Force Survey (LFS) 2015 Month 10, The Monthly Labour Force Survey (LFS) 2015 Month 09, The Monthly Labour Force Survey (LFS) 2015 Month 08, The Monthly Labour Force Survey (LFS) 2015 Month 07, The Monthly Labour Force Survey (LFS) 2015 Month 06, The Monthly Labour Force Survey (LFS) 2015 Month 05, The Monthly Labour Force Survey (LFS) 2015 Month 04, The Monthly Labour Force Survey (LFS) 2015 Month 03, The Monthly Labour Force Survey (LFS) 2015 Month 02, The Monthly Labour Force Survey (LFS) 2015 Month 01, The Monthly Labour Force Survey (LFS) 2014 Month 12, The Monthly Labour Force Survey (LFS) Month 11, The purpose of the Monthly Labour Force Survey is to shed light on current developments in employment and unemployment in the labour market. The statistics are used primarily for economic monitoring and provide rapid, high-frequency indicators that supplement the quarterly and annual Labour Force Survey. The Monthly Labour Force Survey was first published in October 2013, has since been recalculated and, in its current form, is comparable from January 2008 onwards., Statistical presentation, The monthly labor force survey sheds light on the 15-74-year-old population's attachment to the labor market. Here, the population is divided into two main groups, namely people in the labor force and people outside the labor force. Persons in the labor force are further divided into two groups: employed and unemployed (LFS unemployed). Monthly figures are published for the unemployment rate, employment rate and the economic activity rate. , Read more about statistical presentation, Statistical processing, The monthly Labour Force Survey is based on sample with interviews and the figures are weighted with administrative resources. Due to the smaller sample size, the calibration of the weights is carried out using slightly more aggregated data than the quarterly LFS. The sample is weighted to represent the population as it was at the end of the previous quarter. Following the calibration, the series are benchmarked to their quarterly counterpart and seasonally adjusted. , The figures for the labour market status in December 2024 are partly based on information from administrative registers., Read more about statistical processing, Relevance, The monthly LFS supplements the quarterly LFS. Due to the smaller sample size in the monthly LFS, only aggregated series on the unemployment rate, employment rate and labour market participation rate are published.. The monthly results give a quick on going update on the development in the employment and unemployment. The monthly results are used by different users e.g. ministries, international organizations and journalists, but mainly by Eurostat., Read more about relevance, Accuracy and reliability, As a result of the smaller sample size and the lack of persons overlapping over between months the quality is lower in the monthly results compared to the quarterly results. This means that only selected key numbers on employment and unemployment are published. , Read more about accuracy and reliability, Timeliness and punctuality, The Monthly Labour Force Survey is published at the end of the following month from the reference month. The survey is published without any delays in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, In Eurostat's database the Monthly LFS exists back to 1983. This series, however, has a starting point in January 2008. This constitutes a break in series, which must be taken into consideration if long time series are constructed. Data is delivered to the Statistical Office of the European Union Eurostat monthly, where data for all EU countries can be found. Concerning this, one has to be aware of the methodological differences in producing the monthly data in all the EU countries ., Read more about comparability, Accessibility and clarity, The Monthly LFS is published in the table , AKU111M, : Labour force status in percentage by seasonally adjustment and employment status , The difference between the two unemployment figures is described here , Unemployment concepts, ., Data is every month and every quarter delivered to the Statistical Office of the European Union, , Eurostat, , where data for all EU countries can be found., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-monthly-labour-force-survey--lfs---discontinued-

    Documentation of statistics

    Violations of the penalcode, v1:2019

    Please note, a more current version of this classification is now available. See the current version , here., Name: , OVERTRAEDTYPE_V1_2019 , Description: , This is an overview of the types of violations that occur in the StatBank and what they contain at a more detailed level. The classification by Statistics Denmark differs from the classification of the Danish National Police. Both Statistics Denmark's crime statistics and the statistics of the Danish National Police, however, are made on the basis of the same data., Valid from: , January 1, 1980 , Valid to: , December 31, 2019 , Office: , Social og Sundhed , Contact: , Iben Birgitte Pedersen, , ipe@dst.dk, , ph. +45 23 60 37 11 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Violations of the penalcode, v1:2024, January 1, 1980, December 31, 2025, Violations of the penalcode, v1:2023, January 1, 1980, December 31, 2023, Violations of the penalcode, v1:2022, January 1, 1980, December 31, 2022, Violations of the penalcode, v1:2021, January 1, 1980, December 31, 2021, Violations of the penalcode, v1:2020, January 1, 1980, December 31, 2020, Violations of the penalcode, v1:2019, January 1, 1980, December 31, 2019, Violations of the penalcode, v1:2018, January 1, 1980, December 31, 2018, Violations of the penal code, v1:2025, January 1, 1980, Still valid

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/overtraedtype?id=8a476b08-ddf5-469c-a270-4492a11988ac