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Marinas

The Danish marinas have about one million overnight stays annually. , Introduction, The statistics are calculated from reporting from marinas with overnight stays of guest boats. The numbers are published monthly, however only for the peak season which is from May until September., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights Spent at Marinas, Key figures, In Statbank Denmark, you can find more data on Nights spent at marinas with overnight accommodations (LYST1), Related content in Marinas, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/lystbaadehavne

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Holiday houses

Introduction, Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Overnight stays are calculated in rented and available house weeks. Rented house weeks are the number of days a house is rented divided by seven. Available house weeks are the number of houses available for rent for one week., Preliminary statistics are published every month. In addition, annual statistics are published at the end of April, which are distributed by municipalities, parts of the country and regions. Guests are distributed among these countries:, , • Denmark, • Germany, • Norway, • Sweden, • The Netherlands, • Other countries, , Geographically distributed data at the municipality level can be found on , Visit Denmarks, website., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Holiday houses, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST1), Related content in Holiday houses, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/feriehuse

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Music habits

The information about the population's music habits is collected in the Cultural Habits Survey. , Introduction, The numbers show how we access music, where we listen to music and which genres of music we most listen to. There are also a few tables describing the practice of singing, that is, where, in what context and how often we sing. Other information about music consumption can be found under the topics Music schools, Buying and selling of music and Live music. , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Cultural Habits Survey, Key figures, In Statbank Denmark, you can find more data on Consumption of music (KV2MK3), In Statbank Denmark, you can find more data on Performance of music (KV2MKS2), Related content in Music habits, Tables in Statbank , Scheduled releases , Contact, Anders Yde Bentsen, Phone: +45 40 33 68 81, Mail: , ayb@dst.dk

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/musik/musikvaner

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Not in Employment, Education or Training (NEET)

Register-based indicator for the share of young persons from 16-24 years who are not in education, employment, or training (NEET). , Introduction, NEET is an acronym for "Not in Employment, Education or Training", and this set of statistics accounts for the number of young persons from 16-24 years who are not in employment or education. The statistical data period is the last week of November, and a person is categorised as not active (NEET), if he or she is not in employment in that week and is not in education either in that same week as well as the preceding three weeks., The statistics are based on the Labour Market Accounts (LMA) and facilitate the calculation of a NEET indicator based on register data. The statistics have taken inspiration from the NEET indicator, which is defined by Eurostat as well as the OECD, and which is calculated from the interview-based Labour Force Survey (LFS)., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, In Statbank Denmark, you can find more data on Population (16-24 years) (NEET2), Related content in Not in Employment, Education or Training (NEET), Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/unge-uden-for-beskaeftigelse-og-uddannelse-neet

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All types of overnight accommodation

These statistics cover the millions of overnight-stays that Danish and foreign guests have at hotels, holiday centers, hostels, campgrounds, as well as holiday homes and marinas in Denmark each year. , Introduction, The statistics are published monthly and annually., The category hotel and holiday centers also include motels, inns, guest houses, holiday centers and hostels. The monthly hotel statistics are calculated from reporting from hotels etc. with at least 40 beds, while the yearly statistics also include reports from hotels etc. with at least 10 beds., The monthly camping sites statistics are calculated from reporting from camping sites with a capacity of at least 75 guests per night, while the yearly statistics include all camping sites with a capacity of at least 10 per night., The statistics for marinas are voluntarily reported between May and September., Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Related content in All types of overnight accommodation, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/samlede-overnatningsformer

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Arrears to general government

Development in public arrears , Introduction, An arrear is a person’s or a company’s debt to the government, which have not been paid on time., Arrears affect the government liquidity and, if the arrears cannot be collected also the government deficit/surplus., In the tables the tax arrears is valuated at their nominal value, i.e.100. In the national accounts tax arrears for 2013-2017 is written down to market value. The implied write-off can be seen in the Statbank table SKRES2., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Public arrears, Key figures, In Statbank Denmark, you can find more data on Public arrears (OFFRES10), Related content in Arrears to general government, Tables in Statbank , Scheduled releases , Contact, Ida Balle Rohde, Phone: +45 61 24 24 85, Mail: , ilr@dst.dk

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/restancer-til-det-offentlige

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OFF14: Public finances

sector, account and time
1993-2024 (m DKK)

https://www.statbank.dk/OFF14

Tables in StatBank

AFFALD01: Waste generation

industry, waste category and time
2011-2023 (Tonne)

https://www.statbank.dk/AFFALD01

Tables in StatBank

UDDAKT35: Educational activity at upper secondary vocational educations

education, age, ancestry, national origin, sex, status, enrolment type and time
2005-2024 (Number)

https://www.statbank.dk/UDDAKT35

Tables in StatBank

Documentation of statistics: Persons below the state pension age on public benefits

time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

Documentation of statistics