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Documentation of statistics: Urban Areas

Contact info, Population and Education, Social statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , jkp@dst.dk , Get documentation of statistics as pdf, Urban Areas 2023 , Previous versions, Urban Areas 2020, Urban Areas 2019, Urban Areas 2018, Urban Areas 2015, Urban Areas 2014, The statistics show the number of urban areas and the number of persons in each urban area and in the rural areas within each municipality. Statistics on urban areas can be found every 5th or 10th year in the old census publications. From 1976 to 1996, information on urban areas was compiled every other year, since 1996 annually., Statistical presentation, Information on the number of persons in all urban areas with 200 inhabitants or more, and the number of persons in rural areas for every municipality., Read more about statistical presentation, Statistical processing, The statistical source is information on occupied buildings in the Central Population Register (CPR) and geographical maps of Denmark made by The Danish Geodata Agency for Data Supply and Efficiency which shows the delimitation of the cities ., In may after the end of the year is the populations statistics 1. of January published for the municipalities , Statistikbanken, under "BEF44"., Towns where the population in- or decrease quiet a bit is checked., Read more about statistical processing, Relevance, Users: Municipalities, organizations, private companies, students and private persons., Application: Planning, local historical analyses., Read more about relevance, Accuracy and reliability, The overall quality of the statistics is good, but the definition gives possibilities for discretion., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published yearly in April and is normally kept., Read more about timeliness and punctuality, Comparability, The definition of urban areas has been the same since 1976, but new maps could show boundary changes from one year to the next. The only exception is Hovedstadsområdet (the Metropolitan area). This area was until 1999 defined by using borders of municipalities. From 1999 urban areas within those municipalities are defined as all other urban areas. In this way the area covering Hovedstadsområdet has declined., From 1. January 2006 borders of the urban areas are defined by using x,y coordinates., 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 , Population in Denmark, . The statistics also feature in the , Statistical Yearbook, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/urban-areas

Documentation of statistics

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

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

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

Documentation of statistics

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

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

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

Documentation of statistics

Documentation of statistics: District nursing (Discontinued)

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

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

Documentation of statistics

Documentation of statistics: Relocations (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Relocations 2017 , Previous versions, Internal migrations 2016, Relocations 2015, Relocations 2014, Relocations 2013, The purpose of these statistics is to describe the population's internal migration pattern in Denmark. Migrations to and from Greenland and The Faroe Island are not included. These statistics are e.g. used for administrative planning at national, regional and municipal level. The statistics are comparable since 1980., Statistical presentation, These statistics are an annual measure of the number of internal migrations, between and internally in the country's municipalities and regions. These statistics are grouped into moving day and moving month and contain information about the gender and age of the persons moving. The statistics also show moving patterns for young people under 30 years of age and how many who move away from home., Read more about statistical presentation, Statistical processing, The source of the statistics is Statistic Denmark's population register, which daily receives a outdraw which include information about the events such as internal migrations from CPR (Central Person Register)., After the end of the quarter is the population extracted from the population at the municipality level from the register and is published in the Statbank., Input data is not check for errors. Corrections on internal migrations from the source CPR (Central Person Register) will be updated in the database when they arrive., Read more about statistical processing, Relevance, Municipalities, countries, government department and other national organizations which want to take advantage of the statistical field of persons in order to improve the planning., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register. As the CPR register is an administrative register, the municipalities themselves have an interest in keeping the quality of the register at a high level. Analyses have shown that the quality of the CPR data is extremely high., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approx. a month and a half 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, The period of waiting for the late reporting from the CPR register was shortened in the 4th quarter of 1992 from 40 days to 30 days. , The change method i 2007 means, that events which is happen in the former quarter/year, but at first is registered in the actual quarter/year, will not be counted as an internal migration in actual year. Analyses has shown that internal migrations for the year of 2007 that 2½ pct. of the internal migrations of the year is not part of the actual publish year., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Internal migrations in Denmark, . These statistics also feature in the , Statistical Yearbook, . For more information go to the , Subject Page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Danish Vessels

Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Danish Vessels 2024 , Previous versions, Danish Vessels 2022, Danish Vessels 2020, Danish Vessels 2019, Danish Vessels 2018, Danish Vessels 2017, Danish Vessels 2016, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2015, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2013, The purpose of these statistics is a description of vessels registered in Denmark as fishing vessels. Data are provided by The Danish Fisheries Agency's register., Statistical presentation, Statistics for the Danish fleet of fishing vessels are based on those vessels that are registered in The Danish Fisheries Agency as commercial fishing vessels. A registration is needed for commercial fishing., Read more about statistical presentation, Statistical processing, The administrative register for fishing vessels have records of all vessels with permission to commercial fishery. Data are reported from owners of vessels on the form from the Fisheries Agency. Data are checked for inconsistencies., Read more about statistical processing, Relevance, Landing data is used to manage fishing and quota reporting of Danish fishing etc., Read more about relevance, Accuracy and reliability, This statistics covers all Danish commercial fishery vessels. Reporting to the register is mandatory and thus the statistics covers all legally reported fishing vessels. Recreative fishery is not included. There is a close cooperation with fishermen in relation to validation of data. Annually campaigns are made regarding applying of rules and reporting valid data. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the reference period. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, On the calculated level of aggregation, there is no significant data breach., Read more about comparability, Accessibility and clarity, These statistics feature in a Danish press release , Nyt fra Danmarks Statistik, and are published in the StatBank under , Fishery and aquaculture, . For further information look at , Fiskeri, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-vessels

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Census of Housing

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2025 , Previous versions, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-housing

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

Inflation calculator

Compare prices from previously with today and see how the price level has developed over the years.

https://www.dst.dk/en/Statistik/laer-om-statistik/prisberegner