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Consumer credit

How much consumer credit – also known as consumer loans – do households have, either within or outside the traditional banking sector? What is the total stock of consumer credit? The Consumer Credit statistics shed light on the most common types of consumer credit provided by banks and finance companies., Total consumer credit, The figure shows the development in the total consumer credit, including the consumer credit both within and outside the traditional banking sector., In Statbank Denmark, you can find more data on Consumer credit, end of quarter (MPK30), More about the figure, Last update, 6.5.2026, Next update, 5.8.2026, Source data, Consumer credit information provided outside the banking sector is collected directly from consumer credit and credit card providers. Consumer credit granted in the banking sector is obtained from the Danish Central Bank., Read more about sources, method and quality in the documentation of statistics on Consumer Credit, Consumer credit by loan type, The figure shows how much consumer credit households held outside the banking sector in the most recent quarter. You can also see how large a share of the consumer credit consisted of unsecured loans, as well as loans from petrol companies., In Statbank Denmark, you can find more data on Consumer credit, end of quarter (MPK30), More about the figure, Last update, 6.5.2026, Next update, 5.8.2026, Source data, Consumer credit information provided outside the banking sector is collected directly from consumer credit and credit card providers. Consumer credit granted in the banking sector is obtained from the Danish Central Bank., Read more about sources, method and quality in the documentation of statistics on Consumer Credit, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Consumer Credit, These statistics Consumer credit show the volume and development of consumer credit and credit cards services. With its short production time of 35 days after the end of the quarter, these statistics can serve as a business cycle indicator for credit intermediation in Denmark. These statistics have been compiled since 1999 and are in their current form comparable from 2008 onwards., Read more about sources, method and quality in the documentation of statistics on Consumer Credit, Need more data on Consumer credit?, Go on searching on your own in Statbank Denmark and find more detailed figures, for example the consumer credit in previous quarters., Go to the StatBank, Contact, Per Svensson, Phone: +45 20 56 93 96, Mail: , psv@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/finansiel-sektor/forbrugerkredit

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News media and magazines

The purpose of the daily newspapers and magazines statistics is to describe circulations of newspapers and magazines. , 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, Internet, radio and TV, Newspapers and Magazines, Key figures, In Statbank Denmark, you can find more data on Daily newspapers (DAGBLAD3), Newspaper readers by time, key figures and geographical area, Unit: , 1,000 people, National, Regional/local, All newspapers, 2024, Daily newspapers (number), 9, 21, 30, Newspaper readers (1.000 persons), 1,345, 1,003, 1,916, 2025, Daily newspapers (number), 9, 21, 30, Newspaper readers (1.000 persons), 1,341, 955, 1,879, In Statbank Denmark, you can find more data on Newspaper readers (AVISLAS1), Related content in News media and magazines, Tables in Statbank , Scheduled releases , Contact, Christian Max Gustaf Törnfelt, Phone: +45 21 63 60 20, Mail: , cht@dst.dk

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/nyhedsmedier-og-litteratur/nyhedsmedier-og-magasiner

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Home nursing

What is the average number of citizens per month receiving home nursing services in Denmark, and how many days of home nursing are provided? Additionally, an overview of the prevalence of home nursing is available, categorized by gender, as well as how the numbers vary from municipality to municipality., Recipients of home nursing in their own homes, categorized by gender, Here you can assess the number of people receiving home nursing in their own home, categorized by gender (Monthly average)., In Statbank Denmark, you can find more data on Recipients of home nursing (HJEMSYG), More about the figure, Last update, 12.12.2025, Next update, 25.6.2027, Source data, The actual published indicators are based on following sources: In general, information from the municipalities’ care systems (in Danish, EOJ) is used to calculate the indicators. Statistics Denmark receives the data on either monthly or yearly basis. , Acute readmissions are based on Register for Patients from the Agency of Health., To calculate a total for the country regarding referral hours at nursing homes, rehabilitation and preventative home visits, the population register from Statistics Denmark is used. The register includes and describes people who live in Denmark, in detail, on the basis of the available information from the register of personal identity numbers., To calculate the quality of service, a sample based on telephone interviews and personal interviews is used. The Ministry of Health has been responsible for the investigation which in the future will be performed by The Danish Health Data Authority., The agreement of documentation at the elderly area includes a number of impact indicators and background indicators. The majority of the effect indicators will be collected every second year via a national sample-based user survey, while the majority of the background indicators will be based on individual-based data obtained directly from the municipalities' care systems rather than manually aggregated information. It is agreed that the documentation regarding the elderly area must be anchored and compiled in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Social benefits for senior citizens, Home nursing provided, Here you can assess the number of days with home nursing services provided (Monthly average)., In Statbank Denmark, you can find more data on Provided home nursing (HJEMSYG2), More about the figure, Last update, 12.12.2025, Next update, 25.6.2027, Source data, The actual published indicators are based on following sources: In general, information from the municipalities’ care systems (in Danish, EOJ) is used to calculate the indicators. Statistics Denmark receives the data on either monthly or yearly basis. , Acute readmissions are based on Register for Patients from the Agency of Health., To calculate a total for the country regarding referral hours at nursing homes, rehabilitation and preventative home visits, the population register from Statistics Denmark is used. The register includes and describes people who live in Denmark, in detail, on the basis of the available information from the register of personal identity numbers., To calculate the quality of service, a sample based on telephone interviews and personal interviews is used. The Ministry of Health has been responsible for the investigation which in the future will be performed by The Danish Health Data Authority., The agreement of documentation at the elderly area includes a number of impact indicators and background indicators. The majority of the effect indicators will be collected every second year via a national sample-based user survey, while the majority of the background indicators will be based on individual-based data obtained directly from the municipalities' care systems rather than manually aggregated information. It is agreed that the documentation regarding the elderly area must be anchored and compiled in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Social benefits for senior citizens, Recipients of home nursing in their own homes, categorized by municipality, Here you can assess the number of people receiving home nursing in their own home, categorized by municipality (Monthly average)., Get your own statistics in the Statbank about Recipients of home nursing (HJEMSYG), More about the figure, Last update, 12.12.2025, Next update, 25.6.2027, Source data, The actual published indicators are based on following sources: In general, information from the municipalities’ care systems (in Danish, EOJ) is used to calculate the indicators. Statistics Denmark receives the data on either monthly or yearly basis. , Acute readmissions are based on Register for Patients from the Agency of Health., To calculate a total for the country regarding referral hours at nursing homes, rehabilitation and preventative home visits, the population register from Statistics Denmark is used. The register includes and describes people who live in Denmark, in detail, on the basis of the available information from the register of personal identity numbers., To calculate the quality of service, a sample based on telephone interviews and personal interviews is used. The Ministry of Health has been responsible for the investigation which in the future will be performed by The Danish Health Data Authority., The agreement of documentation at the elderly area includes a number of impact indicators and background indicators. The majority of the effect indicators will be collected every second year via a national sample-based user survey, while the majority of the background indicators will be based on individual-based data obtained directly from the municipalities' care systems rather than manually aggregated information. It is agreed that the documentation regarding the elderly area must be anchored and compiled in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Social benefits for senior citizens, Home nursing provided categorized by municipality, Here you can assess the average number of days with home nursing services provided categorized by municipality (Monthly average)., Get your own statistics in the Statbank about Provided home nursing (HJEMSYG2), More about the figure, Last update, 12.12.2025, Next update, 25.6.2027, Source data, The actual published indicators are based on following sources: In general, information from the municipalities’ care systems (in Danish, EOJ) is used to calculate the indicators. Statistics Denmark receives the data on either monthly or yearly basis. , Acute readmissions are based on Register for Patients from the Agency of Health., To calculate a total for the country regarding referral hours at nursing homes, rehabilitation and preventative home visits, the population register from Statistics Denmark is used. The register includes and describes people who live in Denmark, in detail, on the basis of the available information from the register of personal identity numbers., To calculate the quality of service, a sample based on telephone interviews and personal interviews is used. The Ministry of Health has been responsible for the investigation which in the future will be performed by The Danish Health Data Authority., The agreement of documentation at the elderly area includes a number of impact indicators and background indicators. The majority of the effect indicators will be collected every second year via a national sample-based user survey, while the majority of the background indicators will be based on individual-based data obtained directly from the municipalities' care systems rather than manually aggregated information. It is agreed that the documentation regarding the elderly area must be anchored and compiled in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Social benefits for senior citizens, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Social benefits for senior citizens, The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Read more about sources, method and quality in the documentation of statistics on Social benefits for senior citizens, Need more data on Home nursing?, For more information, see StatBank, where you can find more detailed data on nursing home residents, recipients of rehabilitative and maintenance training, and waiting times for care housing., Go to the StatBank, Contact, Ældresektionen, Phone: +45 39 17 34 70, Mail: , aeldredokumentation@dst.dk

https://www.dst.dk/en/Statistik/emner/borgere/sundhed/hjemmesygepleje

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Innovation

What is the extent of innovation in Denmark? On this page, you can find information on innovation activities in the business enterprise sector, including the share of innovative enterprises in Denmark. For an activity to be considered as innovation, the product, process, etc. must be new or significantly changed, at least for the enterprise itself., Innovation , Innovation is the introduction of new or significantly improved, products, manufacturing processes, organisational methods, sales promotional activities. The R&D activities of the enterprises are regarded as part of the innovation activities., Product Innovation , Development and introduction of new or significantly improved products. Products must be new for the enterprise, but can have been developed or introduced by other enterprises., Process innovation , Development of new or improved processes for one or more business functions, which is significantly different from previous processes or functions., Innovative enterprises by industry and innovation type, The chart shows the share of enterprises in Denmark that have introduced product or process innovation. The enterprises are distributed by industry and type of innovation. An enterprise may be both product and process innovative and will therefore be included in both categories. The statistics are based on sample survey of approximately 20,000 enterprises. The figures are preliminary., In Statbank Denmark, you can find more data on Innovative enterprises (INN22), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are compiled on the basis of questionnaires collected from app. 3,500 enterprises drawn as a sample from a population of app. 22,000 enterprises. The statistics are collected as one part of a single questionnaire, that also covers enterprises' research and development (R&D). The enterprises are sampled depending on the number of full-time equivalents and type of activity (NACE). All enterprises with 100 or more full-time equivalents are included in the sample, and the likeliness of being chosen for the sample decreases in line with decrease in number of full-time equivalents. The probability of selection is higher within types of activities that are more R&D-intensive than within activities where R&D is less frequent. The enterprises in the sample are randomly selected., Read more about sources, method and quality in the documentation of statistics on Innovation in the private sector, Innovative enterprises by size, The chart shows the share of enterprises in Denmark that have introduced product or process innovation. The enterprises are distributed by size (full time equivalents) and type of innovation. The statistics are based on sample survey of approximately 20,000 enterprises. The figures are preliminary ., In Statbank Denmark, you can find more data on Innovative enterprises (INN22), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are compiled on the basis of questionnaires collected from app. 3,500 enterprises drawn as a sample from a population of app. 22,000 enterprises. The statistics are collected as one part of a single questionnaire, that also covers enterprises' research and development (R&D). The enterprises are sampled depending on the number of full-time equivalents and type of activity (NACE). All enterprises with 100 or more full-time equivalents are included in the sample, and the likeliness of being chosen for the sample decreases in line with decrease in number of full-time equivalents. The probability of selection is higher within types of activities that are more R&D-intensive than within activities where R&D is less frequent. The enterprises in the sample are randomly selected., Read more about sources, method and quality in the documentation of statistics on Innovation in the private sector, Innovation expenditures in the business enterprise sector, The chart shows how innovation expenditure in the business enterprise sector is distributed across different expenditure items. The figures are preliminary., In Statbank Denmark, you can find more data on Enterprises expenses for own R&D (INN21), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are compiled on the basis of questionnaires collected from app. 3,500 enterprises drawn as a sample from a population of app. 22,000 enterprises. The statistics are collected as one part of a single questionnaire, that also covers enterprises' research and development (R&D). The enterprises are sampled depending on the number of full-time equivalents and type of activity (NACE). All enterprises with 100 or more full-time equivalents are included in the sample, and the likeliness of being chosen for the sample decreases in line with decrease in number of full-time equivalents. The probability of selection is higher within types of activities that are more R&D-intensive than within activities where R&D is less frequent. The enterprises in the sample are randomly selected., Read more about sources, method and quality in the documentation of statistics on Innovation in the private sector, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Innovation in the private sector, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis, but only directly comparable from 2020 forward., Read more about sources, method and quality in the documentation of statistics on Innovation in the private sector, Public Sector Innovation, The purpose of these statistics is to uncover the extent and types of public sector innovation. The survey is conducted according to EU and OECD guidelines concerning innovation statistics. , Read more about sources, method and quality in the documentation of statistics on Public Sector Innovation, Need more data on Innovation?, Go on searching on your own in Statbank Denmark. Find more detailed figures, e.g. on innovation expenditure in the business enterprise sector, and the extent of innovation in the public sector., Go to the StatBank, Contact, Julius Gotthardt Møller, Phone: +45 23 74 66 48, Mail: , jgm@dst.dk

https://www.dst.dk/en/Statistik/emner/uddannelse-og-forskning/forskning-udvikling-og-innovation/innovation

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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), Nights spent at marinas with overnight accommodations by region, time, period and nationality of the guest, Unit: , Number, Total, Denmark, Netherlands, Sweden, Norway, Germany, All Denmark, 2025, May, 144,864, 67,705, 5,857, 6,751, 1,927, 54,122, June, 322,939, 144,290, 15,912, 16,862, 7,241, 121,643, July, 811,951, 443,415, 32,784, 61,830, 26,811, 221,392, August, 533,577, 213,487, 21,116, 26,617, 7,638, 242,794, September, 136,557, 56,190, 3,645, 6,963, 1,657, 58,447, 2026, May, 184,126, 90,317, 6,087, 8,106, 1,958, 69,449, June, 0, 0, 0, 0, 0, 0, July, 0, 0, 0, 0, 0, 0, August, 0, 0, 0, 0, 0, 0, September, 0, 0, 0, 0, 0, 0, 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, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk

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

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Camping sites

Danes and foreigners combined have millions of overnight stays on camping sites in Denmark every year. , Introduction, The statistics on camping sites are published monthly and annually. The monthly statistics are calculated from reporting from camping sites with at least 75 units while the annual statistics also covers camping sites with as little as 10 units., A camping unit corresponds to a capacity of 3 people. In Denmark there are about 407 camping sites with at least 75 units. Three out of four camping sites are located west of Storebælt., 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 on camp sites, Key figures, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Nights spend on camping sites by region, unit, nationality of the guest, period and time, Unit: , Number, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, All Denmark, Nights stay, Total, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66,865, 82,756, 74,489, 74,469, 75,821, 77,585, 79,283, 103,846, 96,706, 107,898, 117,292, 105,202, March, 146,827, 137,879, 162,112, 144,052, 119,926, 211,023, 152,260, 157,855, 164,556, 163,392, 327,637, 179,984, 192,820, 387,682, 193,117, 251,278, 554,904, 234,850, 313,982, 216,380, 281,732, 330,101, 254,649, 165,863, 287,248, 160,476, 212,716, 135,974, 105,799, 196,232, 176,643, 171,198, 318,815, 165,781, 222,555, April, 518,698, 591,407, 573,070, 606,489, 557,462, 472,598, 573,875, 603,196, 718,173, 665,270, 653,136, 829,512, 802,521, 687,710, 802,628, 936,828, 787,083, 923,175, 834,799, 995,004, 854,108, 723,524, 861,584, 827,378, 728,060, 854,843, 747,707, 877,732, 484,753, 789,921, 1,000,800, 954,175, 726,041, 884,309, 797,121, May, 1,086,341, 1,282,526, 1,225,098, 1,031,910, 1,102,436, 1,103,875, 1,093,417, 1,180,579, 879,451, 1,043,533, 1,166,982, 1,063,390, 1,329,987, 1,265,217, 1,109,268, 1,356,443, 1,456,303, 1,411,401, 1,364,936, 1,075,330, 1,369,493, 1,257,532, 1,156,946, 1,292,073, 1,253,675, 1,184,538, 1,322,737, 1,113,245, 944,515, 1,161,944, 1,328,742, 1,445,638, 1,404,254, 1,220,882, 1,367,812, June, 1,978,297, 1,662,693, 1,518,210, 1,723,856, 1,543,192, 1,517,741, 1,542,028, 1,354,877, 1,662,676, 1,488,925, 1,364,208, 1,690,544, 1,335,758, 1,314,895, 1,479,423, 1,386,496, 1,549,777, 1,500,365, 1,422,397, 1,785,401, 1,325,728, 1,339,440, 1,539,571, 1,388,691, 1,408,264, 1,501,055, 1,446,060, 1,575,170, 1,220,321, 1,413,904, 1,742,259, 1,677,474, 1,603,446, 1,632,332, 0, July, 5,919,197, 5,081,390, 5,017,072, 5,458,360, 5,130,367, 5,251,927, 4,415,101, 4,557,559, 4,182,853, 4,443,645, 4,492,600, 4,723,961, 4,404,502, 4,111,906, 4,349,572, 3,945,056, 4,212,946, 4,090,965, 4,153,835, 3,959,888, 3,636,309, 3,885,369, 3,953,087, 3,724,233, 3,637,703, 3,514,955, 3,886,127, 3,889,535, 4,263,825, 4,203,924, 4,129,199, 3,746,424, 3,620,861, 3,627,076, 0, Denmark, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57,596, 73,205, 66,551, 67,171, 67,844, 69,388, 76,343, 90,975, 84,431, 92,331, 99,916, 87,793, March, 134,052, 124,121, 137,942, 125,256, 96,997, 158,859, 132,225, 133,504, 148,579, 145,869, 279,117, 159,139, 168,641, 328,374, 166,474, 204,739, 468,422, 194,857, 273,669, 188,475, 243,453, 274,501, 210,598, 139,143, 233,302, 137,990, 178,490, 118,101, 94,038, 191,683, 144,534, 141,374, 231,761, 129,360, 159,813, April, 419,161, 476,249, 455,985, 477,047, 430,727, 366,371, 441,972, 475,118, 565,065, 536,506, 534,598, 677,776, 665,934, 595,366, 678,090, 793,661, 693,544, 789,058, 722,293, 847,996, 729,127, 629,145, 722,304, 694,863, 623,715, 706,306, 632,323, 710,526, 479,724, 778,866, 792,966, 724,354, 569,111, 652,570, 589,520, May, 869,230, 1,000,159, 903,032, 786,050, 824,607, 817,700, 831,347, 893,877, 694,953, 825,896, 913,495, 852,745, 1,063,617, 1,019,452, 908,297, 1,117,142, 1,204,000, 1,166,138, 1,135,315, 903,589, 1,141,556, 1,042,284, 949,489, 1,051,408, 1,013,329, 962,440, 1,033,849, 877,177, 933,270, 1,111,877, 1,015,686, 1,050,478, 962,261, 844,417, 915,355, June, 1,367,919, 1,163,436, 1,098,189, 1,206,780, 1,073,505, 1,079,208, 1,115,368, 988,106, 1,206,815, 1,108,369, 1,015,875, 1,283,675, 1,019,314, 1,017,292, 1,150,863, 1,043,537, 1,219,005, 1,187,432, 1,119,802, 1,405,463, 1,031,962, 1,035,383, 1,193,424, 1,070,277, 1,065,644, 1,128,871, 1,060,369, 1,116,496, 1,046,324, 1,187,497, 1,215,629, 1,113,093, 1,049,717, 1,022,373, 0, July, 3,521,136, 3,221,529, 3,366,096, 3,462,764, 3,257,063, 3,454,101, 3,028,817, 3,190,992, 2,910,053, 3,099,435, 3,172,507, 3,364,145, 3,179,207, 2,918,054, 3,181,622, 2,917,015, 3,179,497, 3,117,612, 3,093,271, 3,010,280, 2,774,623, 2,923,992, 3,029,708, 2,825,069, 2,717,641, 2,613,264, 2,752,771, 2,700,541, 3,433,546, 3,444,788, 2,830,237, 2,515,995, 2,415,398, 2,331,346, 0, Sweden, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 819, 448, 512, 725, 497, 359, 129, 1,095, 944, 667, 473, 397, March, 896, 798, 986, 1,118, 3,494, 3,877, 1,723, 3,171, 1,790, 3,108, 2,220, 1,971, 1,796, 4,015, 4,140, 4,880, 4,382, 4,733, 2,551, 931, 2,141, 3,721, 1,748, 1,772, 3,163, 1,445, 1,857, 753, 514, 261, 1,296, 1,186, 2,204, 893, 642, April, 4,388, 1,984, 1,999, 2,062, 3,253, 3,565, 3,094, 3,027, 4,122, 4,153, 2,919, 3,708, 5,926, 3,129, 5,852, 7,464, 3,847, 3,950, 3,868, 4,999, 5,033, 3,963, 4,525, 6,452, 4,319, 7,690, 5,456, 6,433, 222, 448, 6,302, 5,859, 2,564, 6,049, 5,650, May, 15,778, 12,754, 11,690, 12,535, 11,956, 13,032, 12,818, 12,553, 12,892, 14,151, 12,321, 11,449, 14,971, 9,422, 10,642, 12,654, 11,972, 9,151, 9,451, 8,700, 10,037, 10,608, 13,486, 12,632, 12,621, 15,404, 15,705, 13,201, 449, 685, 11,494, 11,396, 9,165, 11,058, 11,067, June, 105,833, 59,080, 49,570, 47,674, 48,787, 59,777, 43,131, 39,629, 48,228, 43,053, 41,975, 39,543, 31,306, 29,765, 27,773, 27,667, 28,571, 20,991, 22,285, 27,884, 26,475, 31,183, 31,792, 33,557, 31,066, 31,956, 33,211, 31,079, 1,817, 3,094, 28,484, 27,521, 22,350, 24,880, 0, July, 483,577, 245,104, 271,660, 212,164, 230,741, 253,195, 209,124, 224,552, 238,585, 198,151, 185,795, 177,106, 154,336, 134,284, 137,273, 111,388, 109,998, 70,445, 87,145, 87,521, 84,834, 96,409, 103,726, 96,542, 95,885, 94,608, 95,516, 81,426, 10,537, 17,982, 87,971, 63,251, 61,123, 75,613, 0, Germany, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5,612, 5,403, 5,687, 4,905, 5,039, 5,207, 1,271, 7,007, 7,465, 11,873, 13,234, 11,733, March, 10,681, 12,232, 22,022, 16,433, 18,618, 46,263, 15,810, 17,967, 12,334, 11,953, 41,551, 15,959, 19,985, 47,536, 15,405, 29,392, 62,541, 22,947, 27,854, 18,483, 26,403, 37,823, 29,809, 17,060, 34,827, 14,522, 22,275, 11,953, 8,275, 1,808, 22,561, 23,597, 71,573, 30,221, 55,677, April, 88,567, 106,069, 107,157, 120,090, 116,484, 96,422, 121,894, 115,808, 139,675, 114,263, 105,989, 132,310, 113,542, 79,832, 100,478, 114,831, 73,260, 108,880, 91,232, 120,539, 98,788, 71,794, 106,165, 101,375, 76,718, 107,000, 87,265, 121,237, 2,576, 6,378, 162,939, 188,224, 126,707, 184,152, 164,923, May, 170,618, 240,077, 267,803, 201,114, 234,753, 243,358, 226,728, 239,753, 147,674, 174,078, 208,767, 170,277, 211,730, 200,659, 150,607, 185,761, 194,496, 195,365, 173,680, 119,920, 174,325, 161,996, 148,667, 180,564, 176,750, 158,432, 207,592, 168,706, 6,962, 43,708, 236,860, 311,250, 348,152, 296,453, 365,721, June, 375,703, 338,204, 278,159, 367,986, 315,704, 276,873, 294,787, 245,602, 325,079, 256,523, 223,687, 268,638, 199,709, 187,214, 215,147, 215,786, 206,636, 202,460, 182,038, 249,982, 181,902, 181,611, 214,545, 181,368, 201,140, 229,000, 221,856, 293,873, 152,273, 201,723, 358,796, 374,484, 378,059, 435,442, 0, July, 1,177,317, 1,124,013, 904,013, 1,214,651, 1,079,446, 951,106, 725,732, 702,651, 615,273, 707,208, 703,094, 680,026, 637,184, 658,734, 610,191, 493,594, 512,520, 536,205, 560,331, 503,254, 443,575, 494,363, 403,275, 394,012, 440,683, 420,962, 592,777, 646,670, 675,556, 603,058, 723,304, 732,559, 725,019, 739,961, 0, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Related content in Camping sites, Tables in Statbank , Scheduled releases , Contact, Karina Moric Ingemann, Phone: +45 24 78 42 12, Mail: , kam@dst.dk, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk

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

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Sales of real property

How are prices of real property and cooperative housing developing in Denmark? Are sales of real property going up or down?

https://www.dst.dk/en/Statistik/emner/oekonomi/ejendomme/ejendomssalg

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Land use accounts

How big is Denmark's area? What is Denmark's smallest and largest municipality? What proportion of Denmark is covered by agriculture and forest?

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/areal/arealopgoerelser

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Employees

How many employees are there in Denmark, and how is the distribution of employees by industry and sector?

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/loenmodtagere

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Natural resource accounts

The resource accounts for oil, gas, fish and forests show stocks of Danish natural resources. The land accounts show land cover and how the land is used.

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab/regnskaber-for-naturressourcer

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