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Analyses: How the Danish consumption affects the world's natural resources

The Danish consumption taps into the natural resources - not just domestically, but in major parts of the world. Our planet's resources are not infinite, and the focus on sustainability and pressure on resources is increasing., This analysis takes a closer look at the use of natural resources in the Danish economy and presents the results of the first assessment of the Danish resource footprint. The resource footprint is an attempt to account for the resources extracted from nature both in Denmark and abroad for the goods and services used in the Danish economy., Main conclusions: , Danish imports in 2016 weighed 63m tonnes. However, the production of imported goods and services is associated with an additional intermediate consumption of 70m and 21m tonnes respectively, so that total imports accounted for a resource footprint of approximately 154m tonnes in 2016., The weight of the goods exported from Denmark in 2016 was 38m tonnes, but behind the production of this was a total extraction of 102m tonnes of raw materials in Denmark and abroad. Moreover, the production of services for export required 35m tonnes of raw materials., Denmark’s resource footprint per capita is considerably bigger than the EU average. Our consumption and investments etc. required extraction of 22 tonnes of raw materials per capita, whereas the EU average was 14 tonnes., The Danish resource footprint has grown since 2013, but is lower than in 2008. Especially the consumption of goods associated with non-metallic minerals, such as stone and gravel for the construction industry, has grown., Get as pdf, How the Danish consumption affects the world's natural resources, Colophone, How the Danish consumption affects the world's natural resources, Subject group: Environment and energy, Released: 14 February 2020 08:00, No. 2020:04, ISSN pdf: 2446-0354, Contact:, Bogomil Emilov Iliev, Telephone:

Analysis

PAAROE51: Home care, referral hours per person

indicator, region, age, relationship and time
2019-2024 (Avg. hours per week)

https://www.statbank.dk/PAAROE51

Tables in StatBank

PAAROE50: Home care, recipients referral

indicator, region, age, relationship and time
2019-2024 (-)

https://www.statbank.dk/PAAROE50

Tables in StatBank

Linking of additional data

You will find the guide for uploading additional data sets under ‘Use of FSE upload’

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/tilknytning-af-ovrige-data

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

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

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